Job Title: Senior Software Engineer - Machine Learning Company: Liberty Information Technology Job Category: Machine Learning Roles & Responsibilities: External Description: Reach beyond with Liberty IT; this is where you’ll find the challenges, where you’ll be given the scope and the support to go further, dig deeper and fly higher. This role is designed to give you meaningful opportunities to develop and broaden your Machine Learning, MLOps and cloud\-native engineering skills. You'll work on technology that enables critical business decisions across engineering groups, combining Python engineering, observability, cloud\-native technologies and modern front\-end development. * Strong experience developing high\-quality, maintainable software solutions using Python * Experience with observability and monitoring tools * Experience working with MLOps, model deployment, model governance, or machine learning platforms * Experience building modern web applications using JavaScript and React * Experience working with Kubernetes and cloud\-native technologies * Experience with DevOps tools, CI/CD and agile delivery * Experience collaborating with Product Owners, UX Designers and stakeholders We've included some further skills and experience that would be great. However, don't rule yourself out if you haven't had the opportunity to develop these yet. This role offers the support, learning and practical exposure to help you build them. * Be part of a team working to enhance platform and GUI experience * Develop maintainable Python code to expand platform capabilities * Build front\-end experiences using JavaScript and React * Use observability tools to improve reliability and UX * Contribute to Kubernetes\-based cloud\-native solutions * Champion code quality, testing and CI/CD * Write clean code in line with the team’s set standards and look for ways to improve them * Own, scope and deliver well\-defined deliverables or stories; communicate and update your progress regularly at stand\-ups or similar agile events * Mentor and guide more junior team members to deliver well\-defined features, functions or components In this role, you'll be supported to build capability across the machine learning engineering and MLOps lifecycle. You will have opportunities to: * Develop deeper expertise in Python for production ML platforms and services * Learn how models move from development into reliable, governed production environments * Build practical experience with MLOps, model deployment, model monitoring and model governance * Strengthen your understanding of observability and use monitoring insights to improve reliability and user experience * Gain hands\-on experience with Kubernetes, containers and cloud\-native architecture * Develop modern front\-end skills using JavaScript and React to create intuitive tools for technical and business users * Learn how platform design supports modellers, reviewers, data scientists and business stakeholders * Improve your DevOps, CI/CD, automated testing and production support skills * Work with emerging technologies and assess how they can be introduced safely into delivery lifecycles * Learn from experienced engineers through pairing, mentoring, code reviews and collaborative design * Take ownership of increasingly complex stories and platform capabilities as your skills develop Work Location: Belfast, NIR, UK Availability: Full time

Job Title: Senior Machine Learning Engineer Company: Fitch Group Job Category: Machine Learning Roles & Responsibilities: As one of the world’s top three credit ratings agencies, Fitch Ratings plays a critical role in global capital markets by providing credit analysis, ratings, research, and commentary to financial market participants. For over 100 years, Fitch Ratings has been creating value for global markets through its rigorous analysis and deep expertise, which have resulted in a variety of market leading tools, methodologies, indices, research, and analytical products. Fitch Ratings is part of Fitch Group, a global leader in financial information services with operations in more than 30 countries, which also includes Fitch Solutions. With dual headquarters in London and New York, Fitch Group is owned by Hearst. Fitch Ratings is seeking a Senior Machine Learning Engineer to join our new AI Innovation teams in London—where we're building the AI\-powered future of financial analysis from the ground up. This isn't about tweaking hyperparameters or maintaining legacy models. This is about designing and shipping breakthrough generative AI systems, agentic workflows, and intelligent platforms that will transform how credit analysis happens and how global financial markets operate. We need ML engineers who thrive on hard problems and greenfield opportunities—whether you're passionate about pushing the boundaries of what LLMs can do, excited to architect intelligent systems that reason and act, or energized by turning cutting\-edge research into production capabilities. If you're motivated by "let's build this and see what's possible" rather than "let's wait and see what others do," this is a high\-impact role where you'll spend your time shipping transformative ML systems—working alongside talented engineers who are equally committed to building something significant. * Build breakthrough ML systems with real impact – Design and ship production generative AI platforms, multi\-agent systems, and intelligent automation that will process billions in credit decisions; work on problems at the frontier of applied AI while seeing your work directly change how analysts and financial markets operate * Work at the cutting edge of ML technology – Experiment with the latest LLMs and foundation models, implement novel RAG architectures, build agentic systems, fine\-tune neural networks, and leverage enterprise\-scale GPU clusters and cloud infrastructure; substantial conference and training budgets to stay at the forefront * Technical leadership without the bureaucracy – Lead projects, mentor junior engineers, shape technical direction, and influence architectural decisions through your expertise and results—not through management hierarchy; your ideas and code will define how we build AI systems * Toronto's world\-class AI ecosystem – Work in one of the world's premier AI research hubs alongside Vector Institute researchers, attend cutting\-edge ML meetups and conferences, and be part of the community defining the future of applied AI and machine learning * Greenfield innovation with enterprise backing – Build net\-new ML systems from scratch with the freedom to experiment boldly, fail fast, and push boundaries—backed by the compute resources, research budgets, and organizational support that most startups can only dream of * Solve sophisticated ML challenges – Tackle hard problems at the intersection of NLP, document intelligence, reasoning systems, agentic workflows, and production\-scale deployment; work on challenges that will expand your expertise and push your technical boundaries * Clear growth trajectory – High visibility to senior leadership, mentorship from experienced ML architects, and clear paths to Lead ML Engineer or Principal ML Engineer roles; build a reputation as a go\-to expert in generative AI and financial technology * Design and build transformative ML systems – Lead the development of advanced generative AI solutions, agentic workflows, RAG architectures, and intelligent platforms using PyTorch, modern ML frameworks, and large language models; write production\-quality code that scales and performs * Drive AI innovation through hands\-on technical work – Experiment with frontier models, implement novel ML architectures, evaluate emerging AI technologies, build proofs\-of\-concept, and translate cutting\-edge research into production capabilities that deliver real business value * Lead projects and drive technical excellence – Take ownership of significant ML initiatives from design through deployment; make architectural decisions, establish coding standards, implement robust CI/CD for ML systems, and ensure solutions are both innovative and reliable * Mentor and elevate junior engineers – Provide technical guidance, conduct code reviews, share ML best practices, and help junior team members grow their skills; foster a culture of learning, experimentation, and technical excellence * Build production ML infrastructure – Develop scalable APIs (FastAPI, etc.) for model deployment, implement MLOps pipelines, leverage cloud platforms (AWS/Azure) to optimize AI infrastructure, and use orchestration tools (Airflow) for complex ML workflows * Champion ML governance and operational excellence – Ensure adherence to AI/ML governance guidelines, monitor model performance and SLAs, optimize systems for reliability and cost\-effectiveness, and implement best practices for production ML systems * Collaborate across teams effectively – Partner with product squads, business stakeholders, and cross\-functional teams to integrate ML solutions into flagship products and workflows; translate complex ML concepts for diverse audiences; and ensure seamless transitions from prototype to production * Stay at the bleeding edge – Continuously explore emerging ML technologies, attend conferences, contribute insights from research, and bring innovative approaches back to the team; help shape our technical strategy through your expertise and experimentation * Cutting\-edge AI implementation experience – Track record of taking breakthrough AI capabilities from research/prototype to production\-scale deployment; experience supporting seamless transitions from experimentation to enterprise\-grade ML systems * Multi\-agent and agentic systems expertise – Hands\-on experience building sophisticated multi\-agent systems, agentic workflows, tool\-using AI, or complex AI orchestration platforms that demonstrate advanced reasoning and autonomy * MLOps and cloud\-native infrastructure – Advanced expertise building ML infrastructure, sophisticated MLOps pipelines, model serving platforms, and optimizing cost/performance of production LLM deployments at scale * Document and content management systems experience – Experience developing or integrating ML functionality for document management systems, content platforms, or document intelligence solutions * Technical thought leadership – Contributions to open source ML projects, conference presentations, published research, blog posts about practical ML applications, or active participation in the ML engineering community * Financial services or analytical domain knowledge – Understanding of credit analysis workflows, regulatory requirements, financial data products, or how ML enables better financial decision\-making; familiarity with ratings agencies is valuable * Startup or innovation environment experience – History of building greenfield ML products, working in fast\-paced AI innovation teams, or being part of early\-stage initiatives where you helped shape technical direction and culture * Toronto AI/ML community involvement – Active participation in Toronto's AI/ML engineering or research communities, connections to academic groups, or strong interest in contributing to Toronto's world\-class AI ecosystem Fitch Group is a global leader in financial information services with operations in more than 30 countries. Wholly owned by the Hearst Corporation, we are comprised of three main businesses: Fitch Ratings \| Fitch Solutions \| Fitch Learning. Fitch is committed to providing global securities markets with objective, timely, independent and forward\-looking credit opinions. To protect Fitch's credibility and reputation, our employees must take every precaution to avoid conflicts of interests or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work. Work Location: London, ENG, UK Availability: Full time

Job Title: Lead Learning Experience Designer - Europe, APAC, Middle East (30 hours/week) Company: General Assembly Job Category: Machine Learning Roles & Responsibilities: Since 2011, General Assembly has transformed tens of thousands of careers through pioneering, experiential education in today's most in\-demand skills. As featured in The Economist, Wired, and The New York Times, GA offers training in web development, data, design, business, and more, both online and at campuses around the world. Our global professional community boasts 60,000 full\- and part\-time alumni — and counting. In addition to fostering career growth for individuals, GA helps employers cultivate top tech talent and spur innovation by transforming their teams through strategic learning. More than 21,000 employees at elite companies worldwide have honed their digital fluency with our upskilling and reskilling initiatives. GA has also been recognized as one of Deloitte's Technology Fast 500, and Fast Company has dubbed us leaders in World\-Changing Ideas as well as the \#1 Most Innovative Company in Education. GA is at the leading edge of creating practical solutions to one of the most pressing challenges of our time \- the future of work. As recognized by The World Economic Forum, BCG, the OECD and more, these are big challenges to which only a few companies are offering real solutions. In this role, you'll be speaking every day to corporate leaders who rely on GA to help them apply these solutions to their workforce of the future. As a Lead Learning Experience Designer (LED), you will be responsible for designing, developing, and contextualizing high\-quality GA learning programs for enterprise, technical, and professional audiences. This role requires strong learning experience design knowledge, excellent program development and project management skills, and hands\-on fluency with AI tools and emerging workplace technologies. While this role will contribute significantly to GA's AI\-enabled and emerging technology portfolio, it is not a purely AI curriculum role. The core responsibility is to create scalable, high\-quality GA programs that meet learner needs, client goals, market expectations, and GA's instructional standards. * This is a flexible, contractor position on a 2 or 3 month term * We would expect someone to provide 30 hours per week when on a project * This role will be 100% remote * For US Candidates: Pay is between $45 and $55 USD per hour * For European Candidates: Pay is between €23 and €35 Euros per hour * For South Asian Candidates: Pay is between $15 and $25 USD per hour * For APAC Candidates: Pay is between $20 and $38 USD per hour Key Responsibilities: * Serve as the Lead Learning Experience Designer for GA programs that may include AI, emerging technology, digital transformation, technical skills, leadership, role\-based application, or workplace productivity components. * Own the complete Client\-facing Design Process; requirements gathering, learning outcomes, project timelines, scope, resourcing, development plans, and content quality from discovery through delivery. * Partner with sales, product, client success, solutions, and delivery teams to identify client and learner needs and translate those needs into practical learning solutions. * Support pre\-sales and client conversations by helping define skill needs, learner personas, program objectives, audience readiness, and recommended learning pathways. * Evaluate the tools, workflows, use cases, and workplace contexts most relevant to a client or learner audience, including AI tools where relevant, and determine how they should be represented in the learning experience. * Define clear learning outcomes that move learners from awareness to practical application, workflow improvement, productivity gains, behavior change, and responsible technology use. Applied Learning Design \& AI\-Enabled Development* * Design and develop practical, instructor\-led learning experiences for learners at varying levels of expertise, including programs where AI tools, workflows, or emerging technologies are central to the learner outcome. * Create instructor\-led training materials, including slides, hands\-on labs, case studies, simulations, assessments, facilitator guides, learner workbooks, and practical workplace exercises. * Build learning experiences that help learners actively apply new skills in realistic workplace contexts, including the use of AI tools and platforms where relevant. * Design hands\-on activities using current workplace and AI tools, such as ChatGPT, Claude, Gemini, Microsoft Copilot, Perplexity, Midjourney, NotebookLM, or other tools relevant to enterprise learning. * Translate complex or technical concepts into structured, accessible, and engaging learning experiences in partnership with subject matter experts. * Curate, contextualize, and update content to reflect emerging industry trends, new tool capabilities, evolving best practices, accessibility expectations, and responsible use considerations. * Design structured learning pathways across levels of proficiency, including AI literacy, role\-based application, technical skill development, workflow redesign, responsible technology use, and advanced concepts where appropriate. * Develop practical, interactive exercises such as tool walkthroughs, prompt refinement activities, workflow mapping, use case development, ethical decision\-making scenarios, productivity tasks, coding challenges, technical labs, or real\-world business simulations. * Ensure learning experiences are grounded in adult learning principles, learning science, accessibility, measurable learner outcomes, and practical transfer to the workplace. * Follow GA's design and development standards, best practices, templates, QA processes, and productization expectations for core and customized curriculum. * Create, execute, and own the quality of project and program development timelines, deliverables, and required resources. * Onboard and project manage all resources required for program development, including SMEs, other LEDs or instructional designers, assessment specialists, instructors, vendors, contractors, and freelancers. * Develop instructor enablement materials to support live classroom training delivery, including facilitator guides, run\-of\-show documents, learner workbooks, real\-world case studies, tool setup instructions, troubleshooting guidance, and activity facilitation notes. * Provide guidance to instructors on best practices for applied, interactive learning, including live tool demonstrations, coaching, discussion facilitation, learner support, applied exercises, and technology\-supported problem solving. * Work closely with instructors, learning facilitators, and client teams to tailor learning programs for diverse audiences, including enterprise clients, startups, government organizations, technical teams, business leaders, and cross\-functional employee populations. * Ensure instructors are equipped to deliver learning experiences confidently, accurately, consistently, and in alignment with GA's instructional standards. * Collect, synthesize, and analyze data on learning impact to support continuous improvement, content refinement, learner outcomes, and program updates. * Where applicable, work with translation vendors and localization partners to adapt learning experiences for global audiences. * Lead conversations and workflows with product management and learning systems design teams to standardize reusable GA learning patterns, components, activities, templates, and program structures. * Contribute to the development of a scalable library of reusable GA learning components, including program structures, activities, assessments, facilitator resources, client\-ready assets, and AI\-enabled learning patterns where relevant. * Identify which custom learning materials can be converted into reusable product components or repeatable delivery models. * Support the evolution of GA's learning portfolio by identifying emerging client needs, market shifts, tool trends, and opportunities for new or improved learning products. * Technical proficiency in AI, data science, or coding, including Python, APIs, TensorFlow, PyTorch, or similar frameworks. * Experience using GitHub or other technical collaboration tools. * Experience designing AI training labs, coding exercises, model\-building workshops, or real\-world AI case studies. * Familiarity with virtual machines, cloud\-based labs, sandbox environments, or technical learning environments. * Experience integrating AI\-driven personalization, adaptive learning, or AI\-supported learner practice into course design. * Experience designing enterprise AI adoption programs, leadership AI programs, role\-based AI academies, technical academies, digital transformation programs, or role\-based learning journeys. * Experience creating learning experiences for tools such as ChatGPT, Claude, Gemini, Microsoft Copilot, Perplexity, NotebookLM, Midjourney, or similar platforms. Work Location: London, ENG, UK Availability: Full time

Job Title: Senior Data and ML Engineer Company: Croud Job Category: Machine Learning Roles & Responsibilities: We work with some of the world’s leading brands to drive sustainable growth, combining specialist expertise, technology and intelligence to deliver better business outcomes. Our culture is strategically driven and inspired by a shared long\-term vision. It is collaborative and connected, with a focus on continuous learning and mutual support. ### ROLE OVERVIEW We are investing in data, technology and analytics as a strategic priority. The team brings together a number of capabilities that sit within different parts of Croud, into one unit that will drive cutting\-edge development in a number of critical areas for the business. The role sits within the Data Engineering team and reports to the Head of Data Engineering. The team’s remit is to drive innovation \& revenue through the development \& delivery of revenue\-generating/client\-facing data engineering solutions used across the agency. ### RESPONSIBILITIES Key responsibilities include, but are not limited to: * Support the Head of Data Engineering in delivering data engineering solutions by actively contributing to technical decision\-making and execution. * Ownership of project implementation to successfully deliver client solutions and services in collaboration with junior team members. * Championing data, software engineering and data security best practices and helping and mentoring the team to implement and uphold those practices. * Solutioning client deliverables. * Communicating effectively with clients to discuss project progress and details as required. * Being a key contributor in the implementation and maintenance of DataOps and governance policies, processes, and standards. * Hands\-on involvement in data integrations, warehousing, automation and related engineering tasks. * Overseeing the deliveries across multiple clients and assuring that the solutions meet the highest quality achievable within the project constraints. * Research and Development on the possible technologies and help the team and clients adopt those where appropriate. * Highlight risks and produce effective mitigation plans to address them. * Contributing to new business and cross\-sell proposals, especially with details about the implementation work in proposed projects, and with estimations of the time and effort needed, which will contribute to the commercial element of proposals. * Proactive and self\-motivated individual, keen to take initiative. * Excellent Python, SQL, and database design skills, with proficiency in dbt/Dataform or similar SQL development frameworks. * Proficient with cloud\-based modern data warehousing technologies, particularly GCP and BigQuery (we are also open to candidates with strong comparable experience on other leading cloud platforms). * Hands\-on experience developing and maintaining production data pipelines, especially using serverless technologies. * Strong software and infrastructure engineering practice: containerisation with Docker, infrastructure automation (preferably Terraform), and CI/CD pipelines. * Practical data science experience building statistical and machine learning models, including feature engineering, hyperparameter tuning. * Experience productionising ML and GenAI solutions (MLOps): deploying end\-to\-end model pipelines and establishing evaluation, benchmarking, and continuous monitoring frameworks. * Experience leveraging GenAI technologies to build data solutions. * Ability to communicate clearly and effectively on technical topics with both technical and non\-technical stakeholders. Croud offers a clear path to progression for all members of staff. We are committed to offering development opportunities alongside a support system of regular performance reviews. The opportunities are endless! * Sabbatical: Paid sabbatical at 7 years with an option to take it unpaid at 5 years * 25 days holiday a year * Discretionary annual performance based incentive * Sale commission * Recruitment referrals bonus * Health \& Wellbeing contribution * 2 Recharge Days each holiday year * Ride to Work scheme * Railcard * Season Ticket loan * Home office screen * Daily office perks: Free fruit, breakfast cereals, snacks, and tea \& coffee * Weekly treat: Enjoy a complimentary lunch on us every week * Enhanced Primary and Secondary family leave as well as extended Parental Leave and Shared Family Leave * Life insurance and income protection * Medical Cash Plan * Pension * Curated 3rd party learning platform as well as access to Croud Campus (our bespoke learning and development platform) * Peer to peer recognition scheme 'bonusly' * Team off\-sites/regular socials * Year\-round holiday parties * Flexible working options * Day to make a difference Standard hours are from 9\.00am to 5\.30pm, there’s flexibility if agreed in advance with your line managers (it may also be necessary on occasions to work outside of these hours). * In it together \- our value on integration, collaboration and outcomes * Eye on the future \- our value on futurism, creativity and passion * Generous in spirit \- our value on people, development and inclusion * Do what you say \- our value on integrity and accountability * Make a difference \- our value on purpose and impact Work Location: London, ENG, UK Availability: Full time

Job Title: Staff Machine Learning Engineer Company: Fitch Group Job Category: Machine Learning Roles & Responsibilities: Fitch's Technology \& Data Team is a dynamic department where innovation meets impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO). Driven by our investment in cutting\-edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive projects that matter to our organization and clients. We are also proud to be recognized by Built In as a Best Place to Work in Technology 3 years in a row. Whether you're an experienced professional or just starting your career, we offer an exciting and supportive environment where you can grow, innovate, and make a difference. The Fitch Group’s AI Implementation Team is seeking a Staff Machine Learning Engineer with 8\+ years of experience to lead the design and delivery of production AI/ML solutions across Fitch Group. You will set technical direction, lead complex initiatives, and collaborate with product squads, business partners, and cross\-functional teams to integrate advanced AI capabilities into flagship products and workflows. The AI Implementation Team focuses on: * Implementing AI/ML technology in collaboration with business partners and product squads * Developing and supporting enterprise\-level AI exploration tools and capabilities * Providing guidance for efficient and secure development and deployment of AI * A high\-impact role with significant visibility on flagship Fitch Ratings products and workflows * An excellent opportunity to work on cutting\-edge areas of machine learning and AI * An excellent work culture that values mentorship, continuous learning, and work\-life balance * Oversee the design, development, and deployment of scalable AI/ML solutions, focusing on advanced generative AI frameworks and agentic workflows * Mentor junior engineers and provide technical guidance on coding practices, architectural design, and project execution. * Drive projects and strategic initiatives, ensuring the integration of AI/ML solutions into existing workflows by collaborating with product squads and business stakeholders * Develop robust, production\-quality software in Python and build large\-scale data workflows using orchestration platforms such as Airflow, while driving technical execution across complex initiatives. * Use expertise in cloud computing (AWS and Azure) to build and optimize AI infrastructure * Champion ML governance, ensuring adherence to guidelines, monitoring SLAs, and enhancing AI solutions’ performance and reliability * Translate complex AI \& ML concepts for technical and non\-technical audiences, fostering alignment across teams * Design and develop APIs for integration and deployment of ML models and solutions * A track record of leading complex technical initiatives and shaping technical strategy through influence, mentorship, and cross\-team collaboration. * Familiarity with credit ratings agencies, industry regulations, and financial data products. * Ability to support prototyping teams to seamlessly transition from prototype to development and deployment. * Demonstrated focus on measurable business outcomes from data and ML initiatives. * Proven ability to establish reusable technical patterns and guide cross\-functional teams in adopting AI solutions. * Hybrid Work Environment: 2 to 3 days a week in office required based on your line of business and location * A Culture of Learning \& Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity * Investing in Your Future: Retirement planning, financial wellness and tuition reimbursement programs that empower you to achieve your short and long\-term goals * Promoting Health \& Wellness: Comprehensive healthcare offerings that prioritize a healthy body \& mind * Supportive Parenting Policies: Family\-first policies, including a generous global parental leave plan, designed to help you balance career and family life effectively * Dedication to Giving Back: Paid volunteer days and support for community engagement initiatives At Fitch, AI is embedded in how we work every day—supporting smarter decision\-making, streamlining workflows, and enabling new ways to create value for our business and clients. Intelligent solutions are increasingly part of our day\-to\-day operations, helping teams work more efficiently and think differently as we continue to evolve. We’re looking for colleagues who are comfortable operating in an AI\-enabled environment—or who are curious, adaptable, and eager to build their AI literacy over time. We value professionals who embrace technology as part of continuous learning and who are committed to using it thoughtfully to enhance how work gets done. Fitch is committed to providing global securities markets with objective, timely, independent and forward\-looking credit opinions. To protect Fitch’s credibility and reputation, our employees must take every precaution to avoid conflicts of interests or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work. Work Location: Manchester, ENG, UK Availability: Full time

Job Title: Machine Learning Engineer Company: Flo Health Inc. Job Category: Machine Learning Roles & Responsibilities: * Explore, develop and test complex ML/AI systems to improve female health * Work with state\-of\-the\-art technologies, such as most advanced LLMs and Generative AI approaches, to build solutions that are medically safe and work at scale * Work in a fast\-paced environment to quickly build and validate product hypotheses, taking end\-to\-end ownership of ML/AI products * Build the future\-proof infrastructure for serving Gen AI features at Flo, bringing our AI vision and strategy to life * Constantly improve our technical capabilities by researching and implementing best practices in the context of the fastly evolving space of LLMs * Work in a cross\-functional setup alongside other engineering (ML, Backend, QA), product, and analytics teams We support impact with meaningful reward. Here’s what that looks like: Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants. Work Location: London, England, UK Availability: Full time

Job Title: Senior Machine Learning Scientist Company: Depop Job Category: Machine Learning Roles & Responsibilities: Founded in 2011, Depop’s diverse community has helped move resale into the mainstream, where buying secondhand is no longer an alternative, but how people of different ages now engage with fashion. Today, more than 56 million registered users come to Depop to find great value, express their own personal style and give clothes a longer life. We believe that everything you want already exists, and our role is to help people discover it. AI Disclosure: We use AI tools (Google Gemini) to help our team source and review applications for roles with a high volume of applications. These tools assist our recruiters in identifying great talent but do not replace human decision\-making. At Depop, every hiring decision is made by a human. If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to adjustments@depop.com. Role -------- Depop is looking for a Senior Machine Learning Scientist to join our Pricing team in the UK. You will work alongside a cross\-functional team of Product Managers, Engineers, Analysts and fellow Machine Learning Scientists, playing a key role in building the machine learning models that power Depop’s pricing recommendations and our shipping pricing and optimisation strategies. As a senior member of the team, you will be expected to take ownership of high\-impact projects, lead technical direction on core modelling efforts, and mentor others while working across multiple domains and stakeholders. Responsibilities -------------------- * PMI and cash plan healthcare access with Bupa * Subsidised counselling and coaching with Self Space * Cycle to Work scheme with options from Evans or the Green Commute Initiative * Employee Assistance Programme (EAP) for 24/7 confidential support * Mental Health First Aiders across the business for support and signposting * 25 days of annual leave with the option to carry over up to 5 days * Impact hours: Up to 2 days of additional paid leave per year for volunteering * Fully paid 4\-week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love. * Flexible Working: MyMode hybrid\-working model with Flex, Office\-Based, and Remote options \role\-dependent* * All offices are dog\-friendly * Twice\-yearly development chats and yearly performance reviews * Learning budget * Upskilling our employees with company\-wide training workshops, materials and resources Work Location: London, ENG, UK Availability: Full time

Job Title: Machine Learning Engineer (Contract) Company: And Digital Job Category: Machine Learning Roles & Responsibilities: Diversity and inclusion are hugely important to us, and we’re committed to providing equal opportunities for all. We’re actively recruiting for a diverse and inclusive workforce so want to ensure we do everything we can to support your application. Work Location: London, ENG, UK Availability: Full time

Job Title: Senior MLOps Engineer Company: Trainline Job Category: Machine Learning Roles & Responsibilities: We’re Europe’s leading independent rail platform, helping millions of travellers find and book the best\-value rail and coach journeys across our app, website and partner channels. Our MLOps team helps machine learning (ML) and AI teams across Trainline build, launch and run their products reliably. As a Senior MLOps Engineer, you will help shape how we operate AI and ML systems, including the infrastructure and tooling behind our internal ML/AI platforms and our customer\-facing products. You will work on systems that are already being built and used across Trainline, so your impact will be real and visible. No two weeks look the same: one day you might be building out our ML platform, the next helping shape the architecture of our multi\-agent AI products, and the next improving the developer experience with new tooling and standards. This is a hands\-on role with technical leadership at its core. You will join an established team, working alongside our MLOps Engineering Manager and a small group of engineers, as we support a growing number of ML and AI teams. There is genuine scope to influence our technical direction, develop our engineering practices and mentor junior colleagues. In this role as the Senior MLOps Engineer, you will... * Take a leading technical role in helping teams across Trainline adopt and operate ML and AI tooling as the technology evolves * Support AI infrastructure, working with the teams building our internal platform and customer\-facing products, making sure products are well governed, monitored and deployed through automation * Build and drive adoption of one standard way to deploy ML and AI products, so that new products onboard quickly and reach production faster * Automate the modernisation of our services across products, including fixing and preventing security vulnerabilities in libraries and dependencies * Strengthen our MLOps foundations by improving cost tracking, finding ways to reduce costs, addressing security vulnerabilities and standardising engineering practices * Contribute to technical strategy, evaluating options and making well\-reasoned decisions where there is no established approach * Communicate technical decisions clearly and help prioritise requests from the ML teams we support * Mentor fellow engineers and share knowledge through documentation and enablement across the organisation * Hands\-on experience with IaC and CI/CD tooling, ideally Terraform and GitHub Actions, though alternatives such as AWS CloudFormation and Jenkins are also relevant * Experience with containerised workloads using Docker and cloud platforms, ideally AWS, though GCP and Azure will be considered * Experience productionising AI products, including agentic systems and the AIOps tooling behind them, ideally using AWS Bedrock AgentCore or similar * Experience with managed or self\-hosted ML infrastructure, such as Amazon SageMaker, feature stores (e.g. Feast) and DAG tooling (e.g. Airflow, Metaflow, or similar) * Experience with model experiment tracking, ideally MLflow or Weights \& Biases, and with monitoring tools such as EvidentlyAI, CometML, Grafana or New Relic * Experience writing production\-quality, tested Python code * Experience leading or contributing significantly to major platform changes and migrations, and the ability to lead technical work through ambiguity * Clear communication, sound prioritisation, and a track record of getting other teams to adopt shared standards and of mentoring colleagues Work Location: London, ENG, UK Availability: Full time

Job Title: Machine Learning Engineer Company: National Gas Job Category: Machine Learning Roles & Responsibilities: As Britain's national gas network, we help keep the lights on, businesses running, and homes warm by maintaining the critical infrastructure that transports gas across Great Britain. While providing the energy security Britain relies on today, we're also helping transform the network for a clean energy future. About the role ------------------ We're looking for a Machine Learning Engineer to build, deploy, monitor and maintain advanced analytics, forecasting and machine learning solutions that support the safe and efficient operation of Britain's gas transmission network. You'll take ownership of turning analytical models into robust operational products, ensuring they deliver long\-term value to the business. Data plays a critical role in how National Gas operates and plans for the future. From forecasting network demand and understanding weather impacts to optimising asset performance and operational decisions, you'll help ensure data science solutions are deployed, scalable, maintainable and trusted across the business. * Deploy, monitor and maintain forecasting, optimisation, machine learning and AI solutions in production environments. * Build and manage model monitoring, automated testing, deployment processes and operational support capabilities for machine learning and AI solutions. * Work closely with Data Scientists to productionise analytical models and ensure they remain reliable, scalable, supportable and aligned with operational requirements throughout their lifecycle. * Analyse and prepare large datasets from operational, asset, weather and market sources. * Support the development of forecasting, optimisation and machine learning models where required. * Create dashboards, visualisations and applications that communicate insights to stakeholders. * Work closely with engineers, operators and business teams to embed solutions into day\-to\-day operations. * Measure and demonstrate the value delivered by analytical solutions. What you'll bring --------------------- * Strong commercial experience as a Machine Learning Engineer, MLOps Engineer, Data Scientist or similar quantitative role. * Experience supporting the development, deployment or operation of forecasting, optimisation or machine learning models within a business environment. * Strong Python programming skills, including experience with libraries such as pandas and scikit\-learn. * Strong experience deploying, monitoring and maintaining machine learning or analytical solutions in production environments, including automated testing, model monitoring and version control. * Experience extracting, manipulating and analysing data using SQL. * Ability to communicate complex technical concepts clearly to both technical and non\-technical stakeholders. * Degree in a quantitative discipline such as Data Science, Mathematics, Engineering, Statistics, Computer Science or a related STEM subject, or equivalent industry experience. We're building a workforce that reflects the communities we serve, championing diversity, and creating an inclusive workplace where everyone is valued for their unique contribution. We support reasonable adjustments throughout the recruitment process and beyond. * Market\-leading double\-match pension (up to 12% company contribution) * Annual performance bonus up to 6% * Access to the Tusker salary sacrifice car scheme * 26 days holiday (plus statutory holidays) * 10x salary life assurance and income protection * Flexible benefits including healthcare, dental, and technology options * Family\-friendly policies, wellbeing support, and professional development opportunities Work Location: Warwick, England, UK Availability: Full time