Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Machine Learning Engineer

Anson McCade
London
2 weeks ago
Create job alert

£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.

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer (One Braham (4140), London, United Kingdom)

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.