National-Security ML Engineer | GenAI & MLOps Specialist

BAE Systems Digital Intelligence; Greater London; Híbrido; GBP 80 000 - 120 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid working

Private medical & dental

Pension scheme

Cycle to work

Career Manager support

Company bonus

Resumo da oferta

BAE Systems Digital Intelligence in London is seeking a Senior Machine Learning Engineer to design, develop, and iterate on machine learning models for national security applications. You will collaborate with Data Scientists, Software Engineers, Product Management and Government stakeholders across the full lifecycle, leveraging AWS-based infrastructure to run experiments and deployments.

You will balance rapid experimentation with production readiness, applying MLOps practices and contributing

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

Python

AWS SageMaker

ML Ops

LLM/GenAI

Experiment tracking

LangChain / LangSmith

Prompt engineering

Docker

Kubernetes

Ferramentas

Docker

Kubernetes

Terraform

LangSmith

LangChain

Pinecone

Weaviate

Feast

Descrição da oferta de emprego

BAE Systems Digital Intelligence in London is seeking a Senior Machine Learning Engineer to design, develop, and iterate on machine learning models for national security applications. You will collaborate with Data Scientists, Software Engineers, Product Management and Government stakeholders across the full lifecycle, leveraging AWS-based infrastructure to run experiments and deployments.

You will balance rapid experimentation with production readiness, applying MLOps practices and contributing