AI Engineer

AI Engineer

Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Build and enhance AI capabilities with cutting-edge technologies and innovative solutions.
  • Company: Join UK Telecoms Lab, a leader in telecoms testing and innovation.
  • Benefits: Enjoy flexible working, enhanced pension, and a supportive work environment.
  • Other info: Work in a dynamic team with excellent career growth opportunities.
  • Why this job: Make a real-world impact by developing AI tools that drive change.
  • Qualifications: Experience in AI/ML technologies and a passion for solving complex challenges.

The predicted salary is between 63000 - 77000 £ per year.

About the Role

At UK Telecoms Lab (UKTL), we’re seeking an AI Engineer to help build and evolve our AI capabilities. This is an exciting opportunity to work with cutting‑edge open‑weight AI models, develop intelligent agents, and create innovative AI solutions that support research, engineering, and business operations across the organisation. You’ll play a key role in enabling colleagues to harness the power of AI by developing reliable, secure, and scalable tools, services, and automation solutions that deliver real‑world impact.

What You’ll Do

  • Develop, maintain, and enhance UKTL’s AI platforms, services, agents, and model‑serving environments.
  • Manage and maintain UKTL's high‑end GPU compute.
  • Research, evaluate, and deploy open‑weight AI models for use across the organisation.
  • Build and optimise AI‑driven workflows, automation tools, and data pipelines.
  • Troubleshoot and improve the performance, reliability, and security of AI systems and integrations.
  • Collaborate with our Security Research team to support AI experimentation, model evaluation, and testing in their work.
  • Contribute to the development of cyber range environments used for AI benchmarking and advancing the UK’s AI cyber capabilities.
  • Keep abreast of emerging AI technologies and bring innovative approaches into practical deployment.
  • Champion well‑documented, scalable, and maintainable solutions that support UKTL’s growing AI ecosystem.

Successful Applicants must be able to commute to the UKTL offices in Birmingham at least twice a week. We strive to offer a great work life balance – if you are looking for full time, part time or flexible options, we will try to make this work where business possible. This will be dependent on the kind of role you do and part of the business you work in.

About You

What We’re Looking For

You’ll be a great fit for this role if:

  • Have experience with AI/ML technologies, model deployment, or MLOps environments.
  • Enjoy solving complex technical challenges and improving system performance.
  • Have experience building AI agents, automation solutions, or data processing pipelines.
  • Can work effectively with multidisciplinary teams to deliver practical, user‑focused solutions.
  • Are curious about emerging AI technologies and eager to explore new ideas.
  • Value strong engineering practices, security, operational excellence, and clear documentation.

We actively recruit citizens of all backgrounds, but the nature of our work in this specific area means that nationality, residency and security requirements are more tightly defined than others. To work in this role, you will need to have a DV clearance with no restrictions, or you must have the ability to obtain a DV clearance.

About Us

UKTL is building leading edge Telecoms testing facilities to keep our telecommunications networks safe, accelerate the roll‑out of new technologies, and grow our world leading telecoms sector to maintain resiliency and security.

Successful candidates will join a state‑of‑the‑art facility and be supporting the team conducting testing and research on the latest technologies and innovations in the industry. You will work alongside our infrastructure and Cybersecurity professionals to ensure that the UK’s world class Telecoms infrastructure grows in a resilient and secure manner underpinning growth in other industry sectors.

As a trusted and independent national capability, UKTL interacts with standards bodies, Academia, and Government Departments as well as Communications Service Providers and equipment vendors.

The National Physical Laboratory (NPL) is a world‑leading centre of excellence that provides cutting‑edge measurement science, engineering and technology to underpin prosperity and quality of life in the UK.

NPL and DSIT have strong commitments to diversity and equality of opportunity, and welcome applications from candidates irrespective of their background, gender, race, sexual orientation, religion, or age, providing they meet the required criteria. Applications from women, disabled and black, Asian and minority ethnic candidates in particular are encouraged. All disabled candidates (as defined by the Equality Act 2010) who satisfy the minimum criteria for the role will be guaranteed an interview under the Disability Confident Scheme.

At NPL, we believe our success is a result of the diversity and talent of our people. We strive to nurture and respect individuals to ensure everyone feels valued by treating everyone on the basis of their own individual merits and abilities regardless of their own or perceived identity. As part of our commitment to diversity & inclusion, we ensure we’re creating an environment where all our colleagues feel supported and welcome.

We offer a wealth of above industry standard benefits, such as enhanced pension scheme and flexible working.

Our values are at the heart of what we do, and they shape the way we interact, develop our people and celebrate success. To ensure everyone has an equal chance, we’re always willing to make reasonable adjustments to the recruitment process. If you would like to discuss, please contact us.

AI Engineer employer: National Physical Laboratory

The National Physical Laboratory (NPL) is an exceptional employer that prioritises employee wellbeing and professional growth, offering a supportive work culture where your contributions truly matter. With flexible working arrangements and opportunities to engage in diverse projects, you will thrive in an environment that values innovation and collaboration, all while being part of a prestigious institution located in the scenic town of Teddington.

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Contact Details:

National Physical Laboratory Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Engineer

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at National Physical Laboratory or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to National Physical Laboratory.

Tap into Online Developer Communities

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Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like National Physical Laboratory that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace AI Engineer

AI/ML Technologies
Model Deployment
MLOps Environments
Building AI Agents
Automation Solutions
Data Processing Pipelines
Troubleshooting AI Systems

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at National Physical Laboratory.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at National Physical Laboratory and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at National Physical Laboratory

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If National Physical Laboratory uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.