Senior Machine Learning Engineer London Are you a Senior ML Engineer who wants to build AI that genuinely matters? Our client is a leading digital technology organisation delivering AI, data, and software solutions to UK public sector and national security customers. They are expanding their machine learning capability and are seeking an experienced engineer to design, evaluate, and deploy production-grade ML and GenAI solutions in high-impact operational environments. What youll be doing: Design and build ML models across forecasting, classification, anomaly detection, and GenAI / LLM use cases

Lead experimentation cycles: hypothesis, evaluation, iteration, and validation

Take successful ML approaches into production, including deployment and monitoring

Build and optimise ML pipelines on AWS

Develop LLM-powered solutions, including evaluation and observability

Apply strong MLOps practices: experiment tracking, versioning, and reproducibility

Communicate findings clearly to technical and non-technical stakeholders

Mentor junior engineers and contribute to team best practices

This role is for you if you have: Strong Python ML experience (e.g. scikit-learn, XGBoost, PyTorch, or TensorFlow)

Production experience with AWS ML services (e.g. SageMaker, Lambda, S3)

Proven ability to move models from experimentation into live systems

Experience with MLOps tools (MLflow, Weights & Biases, DVC, or similar)

Hands-on exposure to LLM / GenAI applications, including RAG

Nice to have: Experience with advanced LLM techniques (e.g. agents, tool use)

Familiarity with vector databases and feature stores

Experience with Docker, Kubernetes, or Infrastructure as Code

Important: Security clearance required (or eligibility to obtain it).

Benefits: Hybrid working with flexibility

25 days holiday plus buy/sell options

Competitive pension, bonus, and benefits

Strong career development and mentoring

Opportunity to work on mission-critical AI supporting UK security

Ok, Im in whats next? Please apply with your latest CV.

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