Senior Machine Learning Engineer

We are looking for an experienced Senior Machine Learning Engineer to join our Product team, in Chiswick, West London,

You will be responsible for building production-grade AI capabilities across the platform’s generative and agentic paradigms - from retrieval-augmented knowledge assistants and context-aware responses to multi-step agent workflows. The role combines strong machine learning and software engineering skills to deliver grounded, governed, and scalable solutions that move from Lab prototype to Factory production., * Design and implement ML, generative, and agentic AI solutions - RAG pipelines, prompt workflows, tool-calling agents, and predictive models

• Build grounded retrieval over enterprise knowledge with source citation and tenant isolation
• Integrate models via the model gateway, applying guardrails, PII redaction, and content safety on every request
• Develop and maintain agent orchestration, memory, and human-in-the-loop escalation paths
• Perform data preprocessing, feature engineering, prompt design, and evaluation using enterprise datasets
• Deploy solutions through MLOps/LLMOps pipelines with monitoring, evaluations, and SLAs
• Optimise models and prompts for accuracy, latency, cost, and groundedness
• Run experiments, track metrics against golden sets, and iterate to improve quality
• Collaborate with AIOps and Security to integrate solutions into CI/CD and production monitoring
• Support responsible-AI practices, model cards, and version control for every release

6+ years in AI/ML engineering or applied machine learning

Strong Python skills with scikit-learn, TensorFlow, PyTorch, or XGBoost, plus experience with LLM frameworks (LangChain/LangGraph) and RAG

Experience with cloud AI services (AWS Bedrock/SageMaker, Azure, or GCP) and vector stores

Proficiency in SQL and working with data warehouses/lakes and embeddings

Familiarity with MLOps/LLMOps, containerisation (Kubernetes), and CI/CD

Understanding of prompt engineering, evaluation harnesses, and guardrails

Strong grasp of ML theory, software engineering practices, and version control (Git)

Pulled from the full job description

• Company pension
• Private medical insurance, * Competitive salary and incentive scheme
• Warm, supportive, and open company culture
• An opportunity to thrive in a global environment
• Hybrid working: 3 days in the office
• Birthday holiday and option to purchase additional annual leave
• Comprehensive Benefits Package: Private Pension, Private Medical Insurance, Life Assurance and more