NSL- ML Engineer

Job Title: NSL- ML Engineer Company: BAE Systems Job Category: Machine Learning Roles & Responsibilities: Job Description 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 customer's 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 * 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 * 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, Weights \& Biases, Data Version Control) * Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures * Familiarity with LLMOps tooling such as LangSmith, LangChain, or LangGraph * Understanding of model evaluation, validation techniques, and production monitoring * Experience working in cross\-functional teams from problem framing through to production delivery * Ability to communicate complex findings to non\-technical audiences clearly * Strong problem\-solving skills and knowing when AI is not the answer How we will support you --------------------------- * Work\-life balance is important; you can work around core hours with flexible and part\-time working * As many of our customers work predominantly in the office, we expect all of our staff to work at least 3 days per week in the office * You’ll get 25 days holiday a year and the option to buy/sell and carry over from the year before * Our flexible benefits package includes private medical and dental insurance, a competitive pension scheme, cycle to work scheme, taste cards and more * You’ll have a dedicated Career Manager to help you develop your career and guide you on your journey through BAE * You’ll be part of our company bonus scheme * You are welcome to join any/all of our Diversity and Support groups. These groups cover everything from gender diversity to mental health and wellbeing Work Location: London, ENG, UK Availability: Full time

Experienced professionals You will have experience in many of the following: It would be great if you also had experience in some of these, but if not we’ll help you with them: * Experience with 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) * Experience with containerisation (Docker) and orchestration (Kubernetes, ECS) * Familiarity with Infrastructure as Code (Terraform, CloudFormation) * Experience with data processing frameworks (Spark, Dask) for large\-scale workloads * Understanding of data governance and compliance frameworks * Experience working in regulated industries (finance, healthcare, or similar) Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence. We are proud to have an organisational culture where employees with varying perspectives, skills, life experiences and backgrounds – the best and brightest minds – can work together to achieve excellence and realise individual and organisational potential. Experienced professionals Key Skills: Machine Learning, Python, TensorFlow, PyTorch, Feature Engineering Salary: Not disclosed