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Senior Machine Learning Engineer

Anson Mccade
Cheltenham
20 hours ago
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Senior Machine Learning Engineer
£90000-110000 GBP
Hybrid WORKING
Location: Gloucester, South West - United Kingdom Type: Permanent

Senior Machine Learning Engineer - Defence & Security

£90,000 - £110,000 | Gloucester Area | Hybrid (2-3 days on-site as required)

To be eligible, candidates must hold sole British nationality and have active SC Clearance.

Do you want to take cutting-edge machine learning out of the lab and into real-world systems that strengthen security? This is an opportunity to join a fast-scaling AI consultancy that is redefining how advanced AI is deployed across Defence.

What You'll Do Lead the design and deployment of machine learning infrastructure and software for Defence programmes.
Build scalable, reusable MLOps tools to accelerate project delivery.
Work closely with data scientists, engineers, and product teams to integrate advanced AI into mission-critical systems.
Engage directly with clients to understand technical requirements and translate them into practical solutions.
Provide guidance and leadership to junior engineers, championing best practice and technical standards.
What We're Looking For Strong experience across the ML lifecycle, including deploying models built in frameworks such as TensorFlow, PyTorch or Scikit-learn.
Solid software engineering skills, with strong Python programming experience.
Hands-on knowledge of cloud platforms (AWS, Azure, or GCP), containers, Docker, and Kubernetes.
Understanding of probability, statistics, and key supervised/unsupervised learning methods.
Ability to lead projects, scope work, and deliver solutions at pace (for Senior)
Excellent communication skills, able to engage technical and non-technical stakeholders.
The Package £90,000 - £110,000 depending on experience
Pension & medical care
Discretionary bonus
To hear more about the Senior Machine Learning Engineer opportunity, get in touch with Connor Smyth at Anson McCade on .

Reference: AMC/CSM/SML

Postcode: GL50 1EP

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