Senior ML Engineer

BMT; Bath; Hybride; GBP 60 000 - 80 000; Plein temps

Avantages offerts par ce poste

Private Medical (family coverage)

Enhanced Pension

26 Days Annual Leave

Résumé du poste

A leading engineering solutions firm in Bath seeks a Senior ML Engineer focused on developing and deploying machine-learning systems. You will design end-to-end ML solutions, work with data pipelines, and collaborate with engineers to enhance project outcomes. Candidates should have experience with frameworks like PyTorch, ML Ops for deployment, and robust Python programming skills. This role offers hybrid flexibility and competitive benefits, including family medical coverage and enhanced pensions.

Qualifications

• Experience designing and implementing end-to-end ML pipelines.
• Ability to select, train, and tune models using various frameworks.
• Experience with containerization and deploying ML models.

Responsabilités

• Design, build, and deploy machine-learning systems.
• Create, monitor, and improve ML pipelines.
• Document and maintain ML services and APIs.

Connaissances

End-to-end ML pipeline design

Model training and tuning skills

MLOps and deployment experience

Collaboration and mentoring

Strong Python engineering skills

Hands-on ML model building

Experience with cloud ML platforms

Outils

PyTorch

TensorFlow

scikit-learn

Docker

Azure Machine Learning

Description du poste

Contract Type: Permanent

We are happy to explore flexible and hybrid working arrangements. Please note that travel to customer sites or to attend meetings will be required.

Eligibility for this Role

• 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.

Department: Technical Capability

Location: UK – Bath

Job Title: Senior ML Engineer

About BMT

BMT is dedicated to tackling the most crucial engineering challenges of our era, fostering an environment where individuals with exceptional technical expertise provide meaningful, practical solutions. We commit to creating a safer, more efficient, effective, and sustainable future. BMT values diversity, equity, and inclusion, recognizing their pivotal role in achieving our business purpose. Learn more about BMT at www.bmt.org. We pride ourselves on being a verified flexible workplace, providing freedom and choice. We understand not everyone has the same needs to make work work for them and their lives – we'd love you to discuss any requirements for flexibility with us.

Why Work for Us?

Joining BMT means gaining access to a comprehensive set of employee benefits designed to empower your success. In addition to a competitive salary, our offerings encompass health, family, finance, and personal development.

Benefits

• 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

About The Role

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 accelerate our business through informed and targeted application of ML and LLMs.

As a Senior ML Engineer, you will be responsible for:

• Design, build, and deployment of machine‑learning systems, applying robust software engineering practices and an in‑depth understanding of model behaviour, performance, and limitations.
• Select, prepare, and pipeline data for model training and inference. Implements, trains, evaluates, and optimises machine‑learning models, continually improving them through iterative experimentation and additional data.
• Create scalable and automated ML pipelines, including feature extraction, model training, validation, packaging, deployment, and monitoring.
• Design and implement dashboards, diagnostics, and evaluation tooling to ensure transparency, performance tracking, and operational reliability across the ML lifecycle.
• Within defined delivery goals, refine prototype models into production‑ready components, contributing to development, optimisation, demonstration, and integration activities.
• Apply standardized engineering and evaluation methods, producing clear technical documentation and communicating design choices, performance outcomes, and limitations.
• Contribute to internal knowledge bases and participate in professional ML engineering communities.
• Ensure responsible handling of data throughout the ML lifecycle, including secure storage, access control, data lineage, versioning, and quality checks.
• Evaluate data integrity and suitability for ML workflows, and advise on transformations, feature representation, and schemas needed for efficient training and inference.
• Implement metadata standards, reproducible data pipelines, and automated validation procedures to maintain trustworthy data assets.
• Design, develop, test, document, and maintain moderately complex machine‑learning services, APIs, and supporting software.
• Write well‑structured, maintainable code using agreed standards and tools.
• Apply engineering‑focused data modelling and system design techniques to create, modify, or maintain ML‑relevant data structures, feature stores, and associated components.

About You

As the Senior ML Engineer, you will have skills in:

• Solution Engineering: Capability to design and implement end‑to‑end ML pipelines (data ingestion → feature engineering → training → evaluation → deployment).
• Model Development: Ability to select, train, and tune models (classical ML and deep learning) using frameworks such as PyTorch, TensorFlow, or scikit‑learn.
• MLOps & Productionisation: Experience containerising and deploying models (e.g., Docker), implementing CI/CD, monitoring, drift detection, and automated retraining on Azure/AWS/GCP.
• DataOps & Quality: Demonstrated capability to work with data engineers for high‑quality datasets, versioning, lineage, and governance.
• Collaboration & Mentoring: Pairing with data scientists and software engineers, reviewing code, sharing best practices, coaching juniors.
• Research & Reuse: Evaluating emerging techniques, creating reusable components/templates.
• Software Foundations: Strong engineering skills in Python (typing, testing, packaging), experience with Git and code review workflows.
• ML Expertise: Hands‑on experience building and shipping ML models; solid understanding of metrics, validation strategies, and responsible AI considerations.
• MLOps Engineering: Experience with cloud ML platforms (Azure Machine Learning or AWS/GCP equivalents), CI/CD tooling, containerisation using Docker, model monitoring.
• MLOps Frameworks: Proficiency with MLflow, Airflow, Kubeflow, SageMaker, or Azure ML.

Missing skills? Let us be the judge! BMT are passionate about people; we recognise that technology moves quickly and that no one can learn everything, which is why we seek those who can adapt and demonstrate the aptitude to learn. With enthusiasm and the right attitude, we can help you discover your potential.

What's Next?

If you are ready to contribute your skills and passion to a dynamic team addressing impactful challenges, we invite you to apply for this exciting opportunity with BMT. Join us in shaping a safer, more efficient, and sustainable future.

A message to recruitment agencies: We receive applications exclusively via our ATS. Please note that we do not accept CVs submitted via email to the HR department or staff within our Operational teams. We will not progress CVs shared on a speculative basis by email and you accept our right to pursue such candidates with no obligation to third‑party terms and conditions or liability to a fee.