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- Tasks: Lead AI and MLOps projects, delivering innovative solutions in defence and national security.
- Company: Dynamic engineering team in Newcastle, focused on high-impact projects.
- Benefits: Competitive salary, excellent benefits package, and annual bonus.
- Why this job: Make a real difference in critical projects while working with cutting-edge technology.
- Qualifications: Strong background in machine learning, consulting experience, and a top-tier academic record.
- Other info: Opportunity for leadership, mentoring, and direct engagement with senior stakeholders.
The predicted salary is between 60000 - 80000 £ per year.
Our client is building a high-calibre engineering team in the North East, focused on delivering complex, high-impact solutions across defence and national security. They are known for assembling exceptional talent, tackling demanding challenges, and consistently exceeding client expectations through innovation and technical excellence.
Operating from central Newcastle, they offer an intellectually rigorous environment where ambitious engineers can thrive, collaborate, and make a tangible difference on critical projects. They are seeking developers who combine strong technical capability with clear communication—individuals who enjoy solving complex problems at pace and working closely with clients.
What they’re looking for:
- Experience in defence, national security, or a related domain
- Background in consulting or client-facing delivery
- Strong academic foundation (Computer Science or quantitative discipline) at a First or Upper Second Class level from a leading University
- UK security clearance (or willingness to obtain)
- Confident communicator with a proactive, ownership-driven mindset
- Naturally curious, analytical, and committed to continuous learning
- Flexible to travel and work on client sites
- End-to-end project ownership
- Direct engagement with senior stakeholders and end users
- Leadership, mentoring, and technical direction
- Responsibility for bids, proposals, and technical quality assurance
Core responsibilities:
- Shape solutions with stakeholders and SMEs
- Deliver high-quality outputs with accountability
- Collaborate closely with client teams
- Challenge norms and drive innovation
- Stay ahead of emerging technologies
AI/ML focus:
- Strong grounding in machine learning and system design
- Experience with MLOps and modern AI tooling
- Knowledge of LLMs, including optimisation techniques
- Exposure to LLM applications, evaluation, and deployment in complex environments
- Interest in AI safety, explainability, or secure deployments is advantageous
Compensation:
Salaries will vary depending on experience however our client prides itself with being one of the very best payers in the region and all options are on the table. Plus a good benefits package and annual bonus.
Defence ML Engineer: End-to-End AI & MLOps Lead in Newcastle upon Tyne employer: Kureos
Contact Detail:
Kureos Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Defence ML Engineer: End-to-End AI & MLOps Lead in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to people in the defence and AI sectors on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and MLOps. This is your chance to demonstrate your technical prowess and problem-solving abilities, which are key for this role.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex concepts in simple terms, as you’ll need to engage with clients and stakeholders. Remember, it’s not just about what you know, but how you convey it!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who can make a difference. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Defence ML Engineer: End-to-End AI & MLOps Lead in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Defence ML Engineer role. Highlight your technical capabilities, especially in AI/ML and MLOps, and don’t forget to mention any relevant projects or client-facing experiences.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about defence and national security. Share specific examples of how you've tackled complex problems and how you can contribute to our innovative team.
Showcase Your Communication Skills: Since clear communication is key for this role, make sure your application is well-structured and easy to read. Use concise language and avoid jargon unless it's relevant to the role. We want to see how you can engage with stakeholders effectively!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re proactive and keen to join our team!
How to prepare for a job interview at Kureos
✨Know Your Stuff
Make sure you brush up on your machine learning and MLOps knowledge. Be ready to discuss specific projects you've worked on, especially those related to defence or national security. This will show that you not only have the technical skills but also understand the context in which they apply.
✨Communicate Clearly
Since the role requires strong communication skills, practice explaining complex concepts in simple terms. Think about how you can convey your ideas effectively to both technical and non-technical stakeholders. This will demonstrate your ability to engage with clients and team members alike.
✨Show Your Curiosity
Be prepared to discuss recent advancements in AI and ML, particularly in relation to defence applications. Showing genuine interest in emerging technologies and a commitment to continuous learning will resonate well with the interviewers, as they value innovation and curiosity.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving abilities and how you handle real-world challenges. Think of examples where you've taken ownership of a project or led a team, and be ready to explain your thought process and the outcomes. This will highlight your leadership skills and proactive mindset.