Senior Machine Learning Engineer
£85,000 - £100,000 per annum GBP
Hybrid WORKING
Location: Central London, Greater London – United Kingdom Type: Permanent
Role: Machine Learning Engineer
Working Pattern: Hybrid (3 days onsite)
Location: London
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.
Reference: AMC/JWH/SMLE1
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