Location(s):UK, Europe and Africa : UK : London
BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments.
Job Title
Senior ML Engineer
Location
London with support for Hybrid working. Full:time.
Job Description
Are you passionate about cutting:edge AI and machine learning in digital services, and want to deliver positive real:world value to the UK?We are looking for aML Engineer to join our team and help solve a variety of interesting problems in the national security space.
At BAE Systems Digital Intelligence, we work with a wide range of government customers, across defence, space, and government. In our national security AI team, we undertake a variety of projects covering exploratory research into AI methods and approaches, bespoke solutions to complex customer problems, and infrastructure projects working across large customer datasets.
As a Senior ML Engineer, you will design, develop, and iterate on machine learning models that support national security objectives. You will collaborate with Data Scientists, Software Engineers, Product Management and Government business stakeholders across the full lifecycle, from hypothesis through to production deployment. Leveraging our AWS:based infrastructure you will apply modern MLOps/LLMOps tooling to run rigorous experiments, track results, and deliver scalable solutions.
A key aspect to the role is to balance rapid experimentation with production readiness, prototyping and validating ML approaches while ensuring successful experiments integrate seamlessly into operational systems.
This is an exciting time to join our team to help pioneer both our customers and our own AI adoption journey. Not only will you be directly making a huge impact through the solutions you develop, you'll be doing it for an organisation who makes a huge impact to the security of the UK.
Core Duties
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:Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications
:Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly while adhering to governance requirements
:Transition validated experiments into production:ready solutions, working closely with other 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, articulating operational and strategic value
:Mentor junior colleagues and share learnings across the team
About you
You will have experience in many of the following:
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: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 methodology, and statistical evaluation
:Proven track record transitioning models from experimentation to production with appropriate governance and quality controls
:Experience with experiment tracking and MLOps tooling (MLflow, W