Machine Learning Engineer

Job Title: Machine Learning Engineer Company: Xantura Limited Job Category: Machine Learning Roles & Responsibilities: In this role you will work in the Platform team – a function for the deployment and evolution of the backend platform that underpins the core of the Xantura business. Key Responsibilities * Own and advance a predictive modelling platform that scales across problem types and tenants, using it to design, implement, and iterate models (embedding\-based sequence encoders, temporal survival models, gradient\-boosted decision trees) that predict key vulnerabilities in housing, health, and other social domains. * Track developments in ML and frontier models, running structured experiments to bring promising techniques into production safely. * Build robust evaluation pipelines, training datasets, and model infrastructure to support continuous improvement of natural language \& predictive analytics. * Ensure responsible AI deployment, embedding ethical and regulatory considerations into every stage of development. * Mental health and wellbeing support * Remote GP access * Counselling/therapy * Physiotherapy * Medical second opinions Work Location: Greater London, England, UK Availability: Full time

* PhD in Computer Science, Machine Learning, or a related field with a strong publication record in text analytics, representation learning, or applied predictive modelling. * Practical experience productionising LLMs, i.e.: * Working with vector databases and developing retrieval\-augmented generation (RAG) pipelines – experience setting up/configuring vector DBs, as well as using, would be advantageous; * Finding and productionising recent AI models (e.g. via Huggingface (transformers), OpenAI APIs); * Building agentic systems (e.g. via LangChain, AutoGen, PydanticAI). * Evidence of participating in Open\-Source Software (OSS) development, public hackathons, or other sharable coding samples. * Deep expertise in embedding\-based architectures, including bi\-encoders, cross\-encoders, etc. for long\-horizon text or temporal prediction tasks. * Practical experience building and serving production\-ready, asynchronous APIs for embedding and/or other compute\-intensive services. * Proficiency in Python for building high\-performance data and model pipelines, with strong software engineering discipline (testing, versioning, CI/CD). * Good familiarity with the Azure ecosystem (Azure Kubernetes Service, Azure Batch, Azure AI Foundry, Azure Machine Learning, Azure Blob Storage, Azure Key Vault) . Job Benefits Key Skills: Machine Learning, Python, PyTorch Salary: Not disclosed