At a Glance
- Tasks: Design and deploy machine learning models to tackle real-world national security challenges.
- Company: Join Roke, a leader in AI solutions for national security.
- Benefits: Flexible working, career growth, and a culture of innovation.
- Other info: Collaborative environment with opportunities for professional development.
- Why this job: Make a meaningful impact while working with cutting-edge AI technologies.
- Qualifications: Strong Python skills and hands-on experience with AI/ML frameworks.
The predicted salary is between 36000 - 60000 £ per year.
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.
As a Machine Learning Engineer at Roke, your mission is to harness the power of AI to protect and advance national interest. You will 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
We look forward to hearing from you. The Next Step... Click apply, submitting an up‐to‐date CV.
Machine Learning Engineer in Romsey employer: Roke
At Roke, we pride ourselves on being a purpose-driven employer where your work as a Machine Learning Engineer directly contributes to safeguarding national interests. Our culture fosters innovation and collaboration, providing you with opportunities for career growth while working with cutting-edge AI technologies in a flexible hybrid environment across our state-of-the-art offices in the South of England. Join us to make a meaningful impact in a mission-focused team dedicated to excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer in Romsey
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current Roke employees on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, let your work speak for itself and demonstrate your hands-on expertise.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail—this is your chance to shine!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, you’ll have access to exclusive resources and tips tailored just for you.
We think you need these skills to ace Machine Learning Engineer in Romsey
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your Python skills, AI/ML expertise, and any relevant projects you've worked on. We want to see how your experience aligns with what we're looking for!
Showcase Your Projects:Include specific examples of machine learning models you've designed or deployed. If you've worked with LLMs or MLOps, let us know! This is your chance to shine and show us what you can bring to the table.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're passionate about national security and how your skills can contribute to our mission. Be genuine and let your personality come through – we love to see enthusiasm!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved.
How to prepare for a job interview at Roke
✨Know Your Tech Inside Out
Make sure you’re well-versed in the specific technologies mentioned in the job description, like Python, PyTorch, and TensorFlow. Brush up on your MLOps knowledge too, as they’ll likely ask about CI/CD practices and how you manage model pipelines.
✨Showcase Your Problem-Solving Skills
Prepare to discuss real-world problems you've solved using machine learning. Think of examples where you designed and deployed models that had a tangible impact. This will demonstrate your ability to translate complex data into actionable intelligence.
✨Engage with Stakeholders
Since stakeholder engagement is key for this role, be ready to talk about how you’ve collaborated with different teams in the past. Highlight any experience you have in translating technical requirements into solutions that meet operational needs.
✨Stay Current with AI Trends
Roke values a passion for staying updated with the latest in AI/ML research. Be prepared to discuss recent advancements or papers you’ve read, and how they could apply to national security. This shows your commitment to continuous improvement and innovation.
