At a Glance
- Tasks: Develop and implement AI models while tackling real-world challenges in measurement science.
- Company: Join the National Physical Laboratory, a leader in cutting-edge measurement science.
- Benefits: Enjoy flexible working, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with diverse teams and gain international exposure through travel.
- Why this job: Make a real impact on AI assurance and contribute to national projects.
- Qualifications: Degree in Computer Science or related field with AI/ML experience.
The predicted salary is between 45000 - 55000 £ per year.
About the Role
At NPL, we are looking for an experienced AI scientist or software developer with a real passion for tackling some of the biggest challenges in developing the measurement science needed to test, evaluate, and assure the quality and trustworthiness of AI systems to join the Data Science & AI department. As a Higher Scientist, you'll be expected to acquire new knowledge to find solutions to advance our research, build our capability and provide impact to our clients through project delivery. The work conducted within the Data Science & AI department responds to national challenges in areas of prosperity (e.g. advanced manufacturing), security and resilience, environment, and health. Our AI Programme contributes to the UK government commitment to support the AI assurance ecosystem to increase trust and adoption of AI.
In this role, you will contribute to projects developing and applying methods for AI assurance, helping to build confidence in the safety, reliability and trustworthiness of AI systems. Through a combination of practical and theoretical learning, you will gain experience aligned with the UK's vision for trustworthy and responsible AI innovation, becoming a technical authority for building confidence in the trustworthy use of AI. As a Higher Scientist, you will collaborate with a variety of teams, both internal and external to NPL, within academic, industrial and governmental sectors, and at national and international levels. You will be expected to use logical thinking skills for designing and following a work plan, along with developing technical documents including scientific publications. Additionally, you will contribute to project idea generation, bidding support and consideration of digital products and services that could be built upon your research. The role can be based at either of our Glasgow or Cambridge hub offices, or at our main Teddington (London) site, with occasional travel required between these three sites. Additional opportunities to travel both nationally and internationally will become available as part of your role in delivery projects, collaborating with partners, and through conference attendance.
About You
We are looking for an AI Scientist / AI Software Developer to support the development and deployment of test and evaluation processes for artificial intelligence and machine learning solutions. This role is ideal for those with experience in developing or testing AI/ML applications and is looking to build their skillset, working closely with senior researchers and engineers.
Key Responsibilities:
- Develop and implement machine learning and AI models
- Develop test and evaluation protocols on ML/AI models
- Assist in data pre-processing, feature engineering, and exploratory data analysis
- Contribute to building scalable and maintainable AI software systems
- Debug, test, and improve existing models and codebases
- Document workflows, models, and results clearly
Required Skills and Qualifications:
- Degrees in Computer Science, AI, Data Science, or a related field
- Deep understanding of machine learning concepts and algorithms
- Understanding of statistics and data analysis
- Programming experience in Python (preferred) or similar languages
- Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
- Knowledge of data structures, algorithms, and software development practices
- Experience with version control (e.g., Git) and collaborative development
- Experience in using computing environments
- Strong problem-solving skills and willingness to learn
Desirable:
- Familiarity with MLOps tools (e.g. MLflow, Weights & Biases)
- Exposure to natural language processing (LLMs, agents), computer vision, or reinforcement learning
We actively recruit citizens of all backgrounds, but the nature of our work in specific departments means that nationality, residency and security requirements can be more tightly defined than others. You will be asked about this throughout the recruitment process. To work at NPL, you will need to obtain BPSS security clearance. However, to work in this role in the Data Science & AI department, you will need to have a current SC clearance, or you must have the ability to obtain an SC clearance.
Please note: Applications will be reviewed, and interviews conducted throughout the duration of this advert therefore we may at any time bring the closing date forward. We encourage all interested applicants to apply as soon as practical.
About Us
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 hold memberships and accreditations to ensure we’re creating an environment where all our colleagues feel supported and welcome. We are committed to the health and well-being of our employees. Flexible working and social activities are embedded in our culture to create a positive work-life balance, along with a broad range of benefits. 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.
Higher Scientist - AI Scientist / Software Developer 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.
Contact Details:
National Physical Laboratory Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Higher Scientist - AI Scientist / Software Developer
✨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
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like National Physical Laboratory.
✨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 Higher Scientist - AI Scientist / Software Developer
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.