Lead Machine Learning Engineer - £112K DOE ID51212

Job Title: Lead Machine Learning Engineer - £112K DOE ID51212 Company: Humand Talent Job Category: Machine Learning Roles & Responsibilities: Lead Machine Learning Engineer – AI, MLOps \& Technical Leadership Do you enjoy leading talented engineers, shaping technical direction and still getting hands\-on with the technology? What if your next role gave you the opportunity to influence an entire ML engineering function while working on exciting, real\-world AI projects? Our client is looking for a Lead Machine Learning Engineer to help shape the future of its ML engineering function, combining technical leadership, people development and hands\-on engineering. This isn't a role where you'll simply manage from the sidelines. You'll have the opportunity to influence technical strategy, lead multidisciplinary teams and continue building sophisticated machine learning solutions. Why This Role is Great Lead people. Build technology. Shape the future of ML engineering. This is an opportunity to make a genuine impact, both technically and through the people you support. * Shape ML engineering standards: Take ownership of developing engineering best practices, improving MLOps processes and establishing scalable, reusable approaches to delivering AI solutions. * Lead and develop talented engineers: Coach, mentor and support ML Engineers, helping them develop their technical capabilities while building a collaborative, high\-performing team. * Stay hands\-on with AI and Machine Learning: Continue contributing to technically challenging projects, solving complex engineering problems and helping deliver production\-ready ML systems. * Influence projects from concept to production: Get involved in discovering new AI opportunities, shaping technical solutions, overseeing deployment and continuously improving live systems. * Collaborate with brilliant technical minds: Work alongside ML Scientists, Software Engineers, technical leaders and project teams to turn innovative ideas into practical applications. * Own technical delivery across multiple projects: Guide engineering decisions, support solution architecture and help teams deliver reliable, scalable and maintainable ML systems. * Make your voice heard: Work closely with commercial and business stakeholders to explore opportunities, communicate technical possibilities and influence how AI solutions are developed. * Build something that lasts: Improve shared tooling, frameworks and engineering standards that will benefit future projects and the wider technical team. You'll have the chance to combine the things that make engineering leadership rewarding: solving problems, developing people and seeing technology deliver meaningful results. You'll likely be someone who has spent several years developing and deploying machine learning solutions and is now looking for an opportunity to have a broader technical and leadership impact. Perhaps you're already a Lead Machine Learning Engineer, ML Engineering Manager or Technical Lead. Alternatively, you might be a Senior Machine Learning Engineer ready to take the next step. * Machine Learning Engineering: Developing, deploying and maintaining production\-grade machine learning or data\-driven applications. * MLOps and Cloud Engineering: Working with cloud platforms, CI/CD pipelines, containerisation, model deployment and operational monitoring. * Software Engineering: Applying strong engineering principles to create clean, tested, maintainable and scalable systems. * Technical Leadership: Guiding engineering decisions, supporting solution architecture and helping teams navigate complex technical challenges. * People Development: Mentoring engineers, sharing knowledge and helping others develop their confidence and technical expertise. * AI Solution Delivery: Taking projects through discovery, experimentation, development, deployment and ongoing improvement. * Stakeholder Collaboration: Working with technical and non\-technical colleagues to turn complex challenges into achievable solutions. * Technical Discovery: Helping identify new opportunities, scope potential solutions and support commercial conversations. Our client is interested in engineers who combine strong technical foundations with curiosity, sound judgement and a genuine passion for developing people. Alongside the opportunity to lead meaningful AI and Machine Learning initiatives, our client offers a comprehensive benefits package designed to support your career, wellbeing and life outside work. Ready to Lead the Next Generation of Machine Learning Engineering? If you're passionate about building production\-ready AI systems, enjoy developing talented engineers and want a role where your technical expertise can make a real difference, we'd love to hear from you. Work Location: Oxford, England, UK Availability: Full time

Salary: up to £112k \+ Excellent Benefits Are you an experienced Machine Learning Engineer who loves building AI solutions that actually make it into production? You'll get to build on experience in areas such as: Experience establishing MLOps practices, designing shared engineering frameworks or working in complex enterprise environments would be particularly valuable. A background in Computer Science, Mathematics, Engineering, Statistics, Physics or a related technical discipline could be useful, whether developed through formal education or equivalent practical experience. If you've gained similar experience through different technologies, projects or industries, we'd still encourage you to apply. Benefits include: Selected benefits are subject to company performance and successful completion of probation.* At Humand Talent Solutions, both we and our client believe that diverse experiences, perspectives and backgrounds help create stronger teams and better technology. Reasonable adjustments are available throughout the recruitment process to ensure every candidate has an accessible and inclusive experience. Key Skills: Machine Learning Salary: Not disclosed