Machine Learning Engineer

Roke
Romsey
2 weeks ago
Create job alert
Machine Learning Engineer

Join to apply for the Machine Learning Engineer role at Roke.


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 is a trusted partner delivering mission‑critical solutions that protect the UK and its interests.


Overview

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



  • Strong Python coding skills.
  • Hands‑on AI/ML expertise: Built and deployed models using PyTorch, TensorFlow, or scikit‑learn.
  • LLM expertise: Experience with prompt engineering, RAG, fine‑tuning, agents, evaluation, and safety, with frameworks such as LangChain or LangGraph.
  • Research: Reading papers, prototyping, and implementing algorithms (AI or otherwise).
  • MLOps: Strong grasp of CI/CD for models, version control, monitoring, retraining pipelines (MLflow, DVC, Weights  Biases).
  • Cloud: Practical experience deploying AI solutions on AWS.
  • Experience with containerisation (Docker) for scaling AI deployments.
  • Software engineering fundamentals: version control (Git), CI/CD, testing.
  • Passion for staying current with AI/ML research landscape.

Why Roke

  • 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 at state‑of‑the‑art offices, remote work, or client sites.

Where You’ll Work

We have locations in Hursley, Southampton, Whiteley, Bournemouth, Romsey, Chilworth, and Portsmouth. Expect a proportion of your time to be spent on client sites in London.


Clearance

Due to the nature of this role, we require eligibility for DV clearance. You must be a British Citizen and have resided in the UK for the last 10 years.


Seniority level

  • Associate

Employment type

  • Full‑time

Job function

  • Information Technology and Consulting

Industries

  • IT Services and IT Consulting

Referrals increase your chances of interviewing at Roke by 2x


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


#J-18808-Ljbffr

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer

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.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.