Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Shape innovative solutions and deliver high-quality outputs in a collaborative environment.
- Company: Leading engineering firm in Newcastle, focused on defence and national security.
- Benefits: Competitive salaries, excellent benefits package, and annual bonuses.
- Why this job: Make a real impact on critical projects while working with cutting-edge AI technologies.
- Qualifications: Strong background in machine learning and client-facing delivery; top academic performance required.
- Other info: Dynamic role with opportunities for leadership, mentoring, and continuous learning.
The predicted salary is between 50000 - 70000 £ 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.
Machine Learning Engineer in Newcastle upon Tyne employer: Kureos
Contact Detail:
Kureos Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews by practising common questions and showcasing your problem-solving skills. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format. Remember, confidence is key!
✨Tip Number 3
Showcase your projects! Whether it's through a portfolio or GitHub, let your work speak for itself. We want to see your hands-on experience with machine learning and how you've tackled complex problems in the past.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals who are eager to make a difference in defence and national security.
We think you need these skills to ace Machine Learning Engineer in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience in defence or national security, and showcase any relevant projects that demonstrate your technical skills and problem-solving abilities.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI/ML and how your background aligns with the company's mission. Don’t forget to mention your proactive mindset and commitment to continuous learning.
Showcase Your Communication Skills: Since clear communication is key for this role, make sure your application reflects that. Use straightforward language and structure your documents well. This will show that you can communicate complex ideas effectively.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Kureos
✨Know Your Stuff
Make sure you brush up on your machine learning fundamentals and system design principles. Be ready to discuss your experience with MLOps and any AI tooling you've used. This is your chance to show off your technical chops!
✨Showcase Your Communication Skills
Since the role requires clear communication, practice explaining complex concepts in simple terms. Think about how you can convey your ideas effectively to both technical and non-technical stakeholders during the interview.
✨Demonstrate Problem-Solving Ability
Prepare for scenario-based questions where you might need to solve a problem on the spot. Think through your approach to tackling complex challenges and be ready to share examples from your past experiences.
✨Engage with Curiosity
Show your passion for continuous learning and innovation. Be prepared to discuss emerging technologies in AI and machine learning, and express your interest in areas like AI safety or explainability. This will highlight your proactive mindset and commitment to staying ahead in the field.