Senior ML Engineer

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Senior ML Engineer £50,000 to 60,000 GBP bonus Hybrid WORKING Location:

Central London, Greater London - United Kingdom

Type:

Permanent

Senior Machine Learning Engineer - London / Hybrid Up 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. Reference:

AMC-

Postcode:

EC2V 6AA

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Location:
Gb
Job Type:
FullTime
Category:
IT

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