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- Tasks: Shape innovative solutions and deliver high-quality outputs in a collaborative environment.
- Company: Leading tech firm in defence and national security, based in central Newcastle.
- 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 - 65000 £ 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 employer: Kureos
Contact Detail:
Kureos Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨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 your problem-solving skills. Brush up on your machine learning concepts and be ready to discuss how you’ve tackled complex challenges in the past. We want you to shine and show off that analytical mindset!
✨Tip Number 3
Don’t underestimate the power of a good follow-up! After an interview, drop a quick thank-you email to express your appreciation and reiterate your interest. It shows you’re proactive and genuinely excited about the opportunity.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves. Let’s get you on board!
We think you need these skills to ace Machine Learning Engineer
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, which is crucial for client-facing roles.
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 regarding your application status!
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. They’ll want to see that you can not only talk the talk but also walk the walk when it comes to technical expertise.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems in the past. Think about situations where you had to innovate or challenge the status quo, especially in a client-facing role. This will demonstrate your analytical mindset and ability to deliver high-quality outputs.
✨Communicate Clearly
Since they value clear communication, practice explaining your technical ideas in a way that’s easy to understand. You might be asked to engage with senior stakeholders, so being able to convey complex concepts simply is key. Remember, it’s not just about what you know, but how you share that knowledge.
✨Be Curious and Engaged
Show your enthusiasm for continuous learning and staying ahead of emerging technologies. Ask insightful questions about their projects and challenges. This not only shows your interest but also aligns with their culture of innovation and collaboration. Plus, it gives you a chance to assess if this is the right fit for you!