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 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 interest. 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.
Responsibilities
- 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.
Qualifications
- 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.
Benefits
- 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.
Location & Work
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.
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 and an on-site gym and a driveway full of daffodils in 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.
Next Step
Click apply, submitting an up-to-date CV. We look forward to hearing from you.
Seniority level
Associate
Employment type
Full-time
Job function
Information Technology and Consulting
Industries
IT Services and IT Consulting
