About this role
Salary: £100,000 - 100,000 per year
Requirements: Must hold active DV ClearanceHands-on experience developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlowStrong experience with AWS ML services (SageMaker, Lambda, S3) in production environmentsStrong experiment design skills: hypothesis formulation, A/B testing methodology, and statistical evaluationProven track record transitioning models from experimentation to production with appropriate governance and quality controlsExperience with experiment tracking and MLOps tooling (MLflow, Weights & Biases, Data Version Control)Experience with advanced LLM techniques: agents, tool use, and agentic workflows (preferred)Experience with vector databases (Pinecone, Weaviate, pgvector) for RAG applications (preferred)Experience with feature stores (Feast, AWS Feature Store) (preferred)Experience with containerisation (Docker) and orchestration (Kubernetes, ECS) (preferred) Responsibilities: Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applicationsLead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly while adhering to governance requirementsTransition validated experiments into production-ready solutions, working closely with other engineers on deployment and monitoringBuild and optimise ML pipelines using AWS services and experiment tracking toolsDevelop and integrate LLM-powered solutions for tracing, evaluation, and production monitoringImplement robust experiment tracking, model versioning, and reproducibility practices with full audit trailsDesign feature engineering approaches and contribute to feature store developmentSupport production models through monitoring, performance analysis, and continuous improvementApply responsible AI practices, including model explainability and fairness assessmentPresent experiment findings and production outcomes to stakeholders, articulating operational and strategic valueMentor junior colleagues and share learnings across the team Technologies: AIAWSLambdaDockerSupportKubernetesLLMMachine LearningPyTorchPythonSecurityTensorFlowCloud More:
We are excited to invite you to join our dynamic team as we pioneer both our customers and our own journey into AI adoption. At our organization, we have a strong commitment to enhancing the security of the UK, and your contributions will make a significant impact. We offer a collaborative environment that fosters innovation and growth, alongside opportunities for professional development. Our office is located in a prime area, providing convenience and connectivity. Join us and be a part of something meaningful!
last updated 30 week of 2026