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BMT Logo BMT · IT - Software Development

Senior AI / ML Engineer

United Kingdom, London · Job Posted May 04, 2026
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Job Description

We are seeking an experienced Senior ML to join our team and engage in a diverse range of client projects within the defence, national security, and commercial sectors. AT BMT we are looking to accelerate all of our business through informed and targeted application of ML and LLMs.

Job Responsibility

  • Designing, building, testing, and deploying machine-learning systems, applying robust software engineering practices and an in-depth understanding of model behaviour, performance, and limitations
  • Selecting and preparing data pipelines for model training and inference
  • Implementing, training, evaluating, and optimising machine-learning models, continually improving them through iterative experimentation and additional data
  • Creating scalable and automated ML pipelines, including feature extraction, model training, validation, packaging, deployment, and monitoring
  • Applying standardised engineering and evaluation methods, producing clear technical documentation and communicating design choices, performance outcomes, and limitations
  • Evaluating data integrity and suitability for ML workflows, and advising on transformations, feature representation, and schemas needed for efficient training and inference
  • Applying engineering-focused data modelling and system design techniques to create, modify, or maintain ML-relevant data structures, feature stores, and associated components
  • Supporting alignment of data structures, model interfaces, and infrastructure components to ensure efficient and scalable ML system operation

Requirements

  • Be a UK sole national
  • Have held no other nationality at any time
  • Have continuously resided in the United Kingdom for the past five years
  • Be able to obtain and maintain full UK security clearance in accordance with government vetting standards
  • Provide satisfactory evidence of identity, nationality, and residency as part of the clearance process
  • Ability to select, train, and tune models (classical ML and deep learning) using frameworks such as PyTorch, TensorFlow, or scikit-learn
  • perform robust validation and error analysis
  • Experience containerising and deploying models (e.g., Docker), implement CI/CD, monitoring, drift detection, and automated retraining on Azure/AWS/GCP as appropriate
  • Strong engineering skills in Python (typing, testing, packaging)
  • experience with version control (Git) and code review workflows
  • Experience with cloud ML platforms (Azure Machine Learning or AWS/GCP equivalents), CI/CD tooling (GitHub Actions, Azure DevOps), containerisation using Docker, and implementing model monitoring in production environments
  • Proficiency with tools such as Terraform, MLflow, Airflow, Kubeflow, SageMaker, or Azure ML

What we offer

  • Private Medical (family coverage)
  • Enhanced Pension
  • 18 weeks enhanced maternity pay (after a qualifying period of 1 year)
  • Family friendly policies
  • Committed to an inclusive culture
  • Wellbeing Fund – an annual fund for personal hobbies or interests
  • 26 Days Annual Leave (plus bank holidays)
  • Holiday Trading
  • Retail Vouchers
  • Professional Subscriptions
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