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- Tasks: Design and deploy machine learning models to tackle real-world national security challenges.
- Company: Join Roke, a leader in AI and cybersecurity solutions.
- Benefits: Flexible working, career growth, and purpose-driven projects.
- Why this job: Make a meaningful impact on national security with cutting-edge technology.
- Qualifications: Strong Python skills and hands-on experience with AI/ML frameworks.
- Other info: Collaborative culture with opportunities for innovation and professional development.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Great ideas come from different minds. That’s why we bring together engineers, scientists, analysts, and creatives from every background — and give them the trust, tools, and freedom to make a difference. What connects us is the mission: solving meaningful problems and building capability that protects what matters most. And as the challenges evolve, so do we — working on the technologies that will shape tomorrow, not just today.
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:
- Strong Python coding skills.
- 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 (e.g. 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: 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. 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.
The Next Step: Click apply, submitting an up‑to‑date CV. We look forward to hearing from you.
Machine Learning Engineer in Knaphill employer: Roke Manor Research Limited
Contact Detail:
Roke Manor Research Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in Knaphill
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. This is your chance to demonstrate what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common questions and coding challenges. We all know that confidence is key, so get comfortable with your tech skills!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, you’ll be one step closer to joining us in making a real impact.
We think you need these skills to ace Machine Learning Engineer in Knaphill
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python skills and experience with machine learning frameworks like PyTorch or TensorFlow. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and national security. Share specific examples of how you've tackled real-world problems using machine learning—this will help us see your potential impact.
Show Off Your Research Skills: Mention any research you've done in AI/ML, especially if it involves reading papers or prototyping algorithms. We love candidates who stay current with the latest trends and can bring fresh ideas to our team!
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. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Roke Manor Research Limited
✨Know Your Tech Inside Out
Make sure you’re well-versed in the machine learning frameworks mentioned in the job description, like PyTorch and TensorFlow. Brush up on your Python coding skills and be ready to discuss specific projects where you've applied these technologies.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've transformed complex data into actionable insights. Think about real-world problems you've tackled using AI and be ready to explain your thought process and the impact of your solutions.
✨Understand MLOps Best Practices
Familiarise yourself with CI/CD processes for models and tools like MLflow and DVC. Be prepared to discuss how you ensure scalable and maintainable model pipelines, as this is crucial for the role.
✨Engage with the Interviewers
Don’t just wait for questions; engage with your interviewers by asking insightful questions about their projects and challenges. This shows your genuine interest in the role and helps you understand how you can contribute effectively.