Are you excited about creating AI solutions that make a real difference? Do you want to apply machine learning to high-impact projects in the national security space?

We’re looking for a Junior Machine Learning Engineer to join a leading UK technology and digital intelligence organisation. In this role, you’ll help design, develop, and deploy machine learning and generative AI solutions tackling complex, real-world challenges.

What You’ll Do

• Build and refine ML models for traditional tasks (forecasting, classification, anomaly detection) and GenAI/LLM applications.
• Plan and execute experimentation cycles: define hypotheses, run tests, analyse results, and iterate quickly.
• Help transition validated models from experiments to production-ready solutions, collaborating with engineers and stakeholders.
• Develop and optimise ML pipelines using AWS services and experiment tracking tools.
• Maintain robust experiment tracking, versioning, and reproducibility practices.
• Monitor and improve production models, ensuring high performance and reliability.
• Apply responsible AI practices, including model explainability and fairness.
• Share knowledge and best practices across the team.

About You

You will have:

• 1-3 years of hands-on ML experience.
• Proficiency in Python and ML frameworks like scikit-learn, XGBoost, PyTorch, or TensorFlow.
• Experience with AWS ML services (SageMaker, Lambda, S3) in production settings.
• Strong understanding of experiment design, statistical evaluation, and hypothesis testing.
• Experience taking ML models from experimentation to production with governance and quality controls.
• Familiarity with MLOps tooling such as MLflow, Weights & Biases, or DVC.
• Exposure to LLM/GenAI applications, including prompt engineering and RAG architectures.
• Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.

Nice-to-Haves

• Advanced LLM techniques (agents, tool use, 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

• UK SC/DV eligibility required.
• £7,000 tax-free DV bonus on completion (TBC, paid quarterly).

Location & Working Pattern

• 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.

What We Offer

• Flexible hybrid working supporting work-life balance.
• 25 days holiday with options to buy/sell and carry over.
• Competitive benefits including pension, cycle-to-work, and lifestyle perks.
• Dedicated career support and mentoring opportunities.
• Bonus scheme and participation in diversity and support groups.

If you’re eager to work at the forefront of machine learning and contribute to projects that truly matter, we’d love to hear from you.