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Job Description

Are you passionate about building impactful AI solutions and pushing the boundaries of machine learning? Do you want your work to deliver real-world value across critical infrastructure?

We are seeking a Senior Machine Learning Engineer to join a leading technology and digital intelligence organisation in the UK. In this role, you will design, develop, and deploy machine learning and generative AI solutions that address complex challenges in the security space.

What You’ll Do

Design, develop, and iterate ML models for traditional tasks (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 and stakeholders. Build and optimise ML pipelines using AWS services and experiment tracking tools. Implement robust experiment tracking, model versioning, and reproducibility practices. Support production models through monitoring, performance analysis, and continuous improvement. Apply responsible AI practices, including model explainability and fairness assessment. Mentor junior colleagues and share learnings across the team.

About You

You will have experience in the following:

4-5 years’ experience of hands-on ML experience. Developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow. AWS ML services (SageMaker, Lambda, S3) in production environments. Experiment design, hypothesis testing, and statistical evaluation. Transitioning models from experimentation to production with governance and quality controls. MLOps tooling such as MLflow, Weights & Biases, or DVC. Developing LLM/GenAI applications, including prompt engineering and RAG architectures. Communicating complex findings clearly to technical and non-technical audiences.

Nice-to-Haves

Advanced LLM techniques: agents, tool use, and agentic workflows. Vector databases (Pinecone, Weaviate, pgvector). Feature stores (Feast, AWS Feature Store). Containerisation and orchestration (Docker, Kubernetes, ECS). Infrastructure as Code (Terraform, CloudFormation). Large-scale data processing frameworks (Spark, Dask). Experience in regulated industries or working with sensitive data.

Security Clearance

UKIC DV eligible required £7,000 tax-free DV bonus on completion (TBC, paid quarterly)

Location

London-based hybrid role Up to 3 days per week onsite at customer location once cleared 1 day per week team day in the London office (counts as onsite)

What We Offer

Flexible, hybrid working with support for work-life balance. 25 days holiday, with options to buy/sell and carry over. Competitive benefits including pension, cycle-to-work, and lifestyle perks. Career development support with dedicated managers and mentoring opportunities. Bonus scheme and participation in and support groups.

If you are driven to deliver AI solutions that make a tangible impact and enjoy working at the cutting edge of machine learning, we want to hear from you.

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.