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

Apply Now

Machine Learning Engineer

Roke
Woking
1 week ago
Create job alert

Get AI-powered advice on this job and more exclusive features.


Are you ready to make a real impact? At the forefront of national security, Roke are a trusted partner delivering mission‑critical solutions that protect the UK and its interests.


As a Machine Learning Engineer at Roke, your mission is to harness the power of AI to protect and advance national interests.


This is your opportunity to work on cutting‑edge projects in AI, Cybersecurity, Cloud, Big Data, and Digital Transformation—helping to shape the future of national security.


Your Mission

You’ll be part of a team that transforms complex data into actionable intelligence, enabling decision‑makers to stay ahead of emerging threats. Your work will directly contribute to safeguarding the UK through innovative, ethical, and secure AI solutions.


What You’ll Do

  • Design, develop, and deploy machine learning models to solve real‑world problems in national security.
  • Collaborate with multidisciplinary teams to integrate AI capabilities into mission‑critical systems.
  • Conduct research and rapid prototyping to explore new algorithms and techniques.
  • Apply MLOps best practices to ensure scalable, maintainable, and secure model pipelines.
  • Work with large language models (LLMs) to build intelligent agents, enhance retrieval systems, and improve user interactions.
  • Translate stakeholder requirements into technical solutions, balancing innovation with operational needs.
  • Contribute to the continuous improvement of our AI/ML frameworks and tooling.
  • Engage with clients and partners to understand challenges and deliver impactful solutions.

What You’ll Bring

We’re looking for individuals with a blend of analytical thinking, stakeholder engagement, and a passion for national security.


Ideal candidates will have knowledge in some of the following:



  • Hands‑On AI/ML Expertise: Built and deployed machine learning models using frameworks like PyTorch, TensorFlow, or scikit‑learn.
  • LLM Expertise: Experienced in working with large language models, including prompt engineering, RAG, fine‑tuning, agents, evaluation, and safety considerations and frameworks for implementation (LangChain, LangGraph, etc.).
  • Research: Reading papers, prototyping, and implementing algorithms (AI or otherwise).
  • MLOps: A strong grasp of CI/CD for models, version control, monitoring, and retraining pipelines (MLflow, DVC, Weights & Biases).
  • Cloud: Practical experience deploying AI solutions on AWS.
  • Experience with containerisation for deploying and scaling AI solutions (Docker).
  • Software engineering: Fundamental knowledge of version control (Git), CI/CD, and testing.
  • Expertise in ML algorithms, model development, and lifecycle tools (MLflow, DVC, Weights & Biases).
  • Able to translate stakeholder needs into innovative AI solutions.
  • Passion for staying current with the AI/ML research landscape.

Why Join Us?

  • Purpose‑Driven Work: Contribute to projects that protect lives and national interests.
  • Innovation at the Core: Work with leading‑edge technologies in AI, Cyber, and Cloud.
  • Career Growth: Be part of a growing business with clear progression paths and investment in your development.
  • Culture of Excellence: Join a team of experts who are passionate, collaborative, and mission‑focused.
  • Flexible Working: Hybrid model with time spent at our state‑of‑the‑art offices, working remotely and possibly at client sites.

Where You’ll Work – Woking or Romsey

Woking – You’ll find our Woking site in a modern building on the outskirts of London. Rated excellent for sustainability by BREEAM & Fitwel certified – you’ll feel better for visiting. This site provides key links to our customers in London, is a 5‑minute walk from the train station, has secure parking nearby and dedicated cycle storage.


Romsey – You’ll find our Romsey site located within beautiful Hampshire countryside, close to the picturesque New Forest District and not far from a superb stretch of the south coast. This is no corporate concrete jungle; this is a manor house site, with ample parking an on‑site gym and a driveway full of daffodils in the spring.


There is an expectation that a proportion of your time may be spent working on client sites in the London area.


Clearance

Due to the nature of this role, we require you to be eligible and willing to achieve DV clearance. As a result, you should be a British Citizen and have resided in the U.K. for the last 10 years.


The Next Step

Click apply, submitting an up‑to‑date CV. We look forward to hearing from you.


Referrals increase your chances of interviewing at Roke by 2x.


Seniority level: Associate


Employment type: Full‑time


Job function: Information Technology and Consulting


Industries: IT Services and IT Consulting


#J-18808-Ljbffr

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer (Databricks)

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.