At a Glance
- Tasks: Develop and deploy cutting-edge machine learning models for defence applications.
- Company: Specialist technology consultancy focused on high-impact engineering in secure environments.
- Benefits: Competitive salary, hybrid working, and opportunities to work on advanced AI systems.
- Other info: Join a dynamic team tackling complex challenges in a high-performance environment.
- Why this job: Make a real difference in national security with innovative AI solutions.
- Qualifications: Strong understanding of machine learning, programming in Python, and analytical skills.
The predicted salary is between 90000 - 90000 £ per year.
Salary: £90,000 - 90,000 per year
Requirements
- Strong understanding of machine learning fundamentals
- Solid foundation in mathematics and statistics
- Hands-on experience with LLMs and transformer architectures
- Experience with model evaluation and inference optimisation
- Strong programming experience, typically in Python
- Ability to work on complex problems within constrained environments
- Strong analytical and problem-solving capability
- Clear communication skills and ability to work in client-facing environments
- UK national, eligible for UK Security Clearance (SC)
Responsibilities
- Develop and deploy machine learning models and LLM-based systems
- Apply knowledge of transformer architectures and LLM principles
- Optimise model performance, inference, and efficiency
- Evaluate model behaviour using established performance frameworks
- Contribute to solutions deployed in edge, constrained, or air-gapped environments
- Apply best practices in AI safety, explainability, and robustness
- Collaborate with engineering teams to integrate ML systems into production environments
- Design and develop machine learning and LLM-based solutions
- Work on advanced AI systems within secure and constrained environments
- Apply deep technical knowledge across ML, statistics, and optimisation
- Contribute to real-world AI applications in defence and high-assurance settings
- Collaborate with engineers and clients to solve complex challenges
- Take ownership of delivery within high-impact projects
Technologies
- AI
- LLM
- Machine Learning
- Python
- Security
We are a specialist technology consultancy delivering high-impact engineering across defence and complex environments, supporting organisations operating in secure, mission-critical settings. This is a permanent Machine Learning Engineer role with hybrid working available across Newcastle, Manchester, Bristol, and London. You will work on cutting-edge machine learning and large language model systems in a high-performance, engineering-focused environment, with exposure to advanced AI development, secure and resource-constrained deployments, AI safety and explainability, and meaningful technical delivery on high-impact defence and national security programmes.
Machine Learning Engineer - Defence employer: Sivara GmbH
As a leading specialist technology consultancy, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that empowers our Machine Learning Engineers to tackle complex challenges in defence and national security. With hybrid working options available across vibrant cities like Newcastle, Manchester, Bristol, and London, we offer competitive salaries, opportunities for professional growth, and the chance to contribute to high-impact projects that make a real difference. Join us to be part of a team that values your expertise and supports your career development in a dynamic and secure environment.
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We think you need these skills to ace Machine Learning Engineer - Defence
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
