Job Description
£50,000 to 60,000 GBP
bonus
Hybrid WORKING
Location: Central London, Greater London - United Kingdom Type: Permanent
Senior Machine Learning Engineer - London / HybridUp to £65,000 + DV Bonus | DV Eligible Required | No Sponsorship
We are seeking a Senior ML Engineer to join a leading organisation delivering cutting-edge AI and machine learning solutions with real-world impact. You will design, develop, and deploy ML models, including traditional ML and GenAI/LLM applications, supporting national security and regulated sector objectives. This is a London-based role with hybrid working support.
Key Responsibilities:
* Design, develop, and iterate ML models for forecasting, classification, anomaly detection, and GenAI/LLM applications.
* Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly.
* Transition validated experiments into production-ready solutions, collaborating with engineers on deployment and monitoring.
* Build and optimise ML pipelines using AWS services and experiment tracking tools.
* Develop and integrate LLM-powered solutions for tracing, evaluation, and production monitoring.
* Implement robust experiment tracking, model versioning, and reproducibility practices with full audit trails.
* Design feature engineering approaches and contribute to feature store development.
* Support production models through monitoring, performance analysis, and continuous improvement.
* Apply responsible AI practices, including model explainability and fairness assessment.
* Present experiment findings and production outcomes to stakeholders.
* Mentor junior colleagues and share learnings across the team.
Requirements:
* Hands-on experience developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow.
* Strong experience with AWS ML services (SageMaker, Lambda, S3) in production environments.
* Strong experiment design skills: hypothesis formulation, A/B testing, and statistical evaluation.
* Proven track record transitioning models from experimentation to production with governance and quality controls.
* Experience with experiment tracking and MLOps tooling (MLflow, Weights & Biases, DVC).
* Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures.
* Familiarity with LLMOps tooling (LangSmith, LangChain, LangGraph).
* Understanding of model evaluation, validation, and production monitoring.
* Strong problem-solving skills and ability to communicate complex findings clearly.
* Eligible for DV security clearance; no sponsorship provided.
Desirable:
* Advanced LLM techniques: agents, tool use, and agentic workflows.
* Experience with vector databases (Pinecone, Weaviate, pgvector) for RAG applications.
* Experience with feature stores (Feast, AWS Feature Store).
* Containerisation (Docker) and orchestration (Kubernetes, ECS).
* Infrastructure as Code (Terraform, CloudFormation).
* Large-scale data processing frameworks (Spark, Dask).
* Familiarity with data governance and compliance frameworks.
* Experience in regulated industries such as healthcare or finance.
Benefits:
* Competitive salary up to £65,000 + DV clearance bonus.
* Hybrid working with flexibility around core hours.
* 25 days holiday plus buy/sell/carry over options.
* Pension scheme and other flexible benefits.
* Opportunity to work on high-impact ML/AI projects in national security and regulated sectors.