Senior Machine Learning Engineer

New Yesterday

Job Description

£85,000 - £100,000 per annum GBP

Onsite WORKING

Location: Gloucester, South West - United Kingdom Type: Permanent

Role: Machine Learning Engineer

Working Pattern: Hybrid (3 days onsite)

Salary: £85,000 - £100,000 per annum

Clearance: Active SC Clearance required with UKSV required.

Join a pioneering AI organisation that's transforming performance across sectors through safe, impactful, and human-centric artificial intelligence. With over a decade of experience and a global client base, this team of experts from government, academia, and leading tech firms is solving some of the most complex challenges in applied AI.

As a Machine Learning Engineer you'll be at the forefront of designing, building, and deploying production-grade software, infrastructure, and MLOps systems. Your work will directly contribute to solving high-impact problems in defence and national security.

What You'll Be Doing:
  • Building scalable software and infrastructure that leverages machine learning.
  • Creating reusable tools to support ML system delivery.
  • Collaborating with cross-functional teams including data scientists, designers, and product managers.
  • Leading project scoping and design, and mentoring junior engineers.
  • Engaging with clients to understand needs and provide technical expertise.
  • Championing best practices for operationalising ML systems at scale.
What We're Looking For:

We value curiosity, pragmatism, and a drive to make a real-world impact. You'll thrive here if you:
  • Think scientifically and seek evidence-based solutions.
  • Are outcome-focused and detail-oriented.
  • Enjoy solving complex problems with innovative approaches.
Ideal Experience (70% match is great):
  • Strong understanding of the ML lifecycle and deployment of models using frameworks like Scikit-learn, TensorFlow, or PyTorch.
  • Solid grasp of probability, statistics, and common ML techniques.
  • Proficiency in Python and software engineering principles.
  • Hands-on experience with cloud platforms and containerisation (Docker, Kubernetes).
  • Comfortable working in a fast-paced, high-growth environment.
  • Excellent communication skills and a collaborative mindset.
What's on Offer:
  • Work alongside some of the brightest minds in AI.
  • Be part of a diverse, intellectually curious team.
  • Hybrid working model with flexibility across client sites, office, and home.
  • Opportunity to contribute to cutting-edge projects with real-world impact.
Apply
Location:
Gloucester
Job Type:
FullTime
Category:
Engineering

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