At a Glance
- Tasks: Lead a team in Trustworthy AI, tackling global challenges with innovative solutions.
- Company: Join the National Physical Laboratory, a leader in measurement science and technology.
- Benefits: Flexible working, social activities, and a commitment to employee well-being.
- Why this job: Shape the future of AI Assurance and make a real-world impact.
- Qualifications: Extensive knowledge in AI, leadership experience, and proficiency in programming languages.
- Other info: Diversity is valued; we encourage applications from under-represented groups in STEM.
The predicted salary is between 60000 - 80000 £ per year.
Put simply, we set the standards by which everything is measured. In doing so, the National Physical Laboratory is helping to combat issues on a global scale such as climate change, curing diseases and the development of cutting‑edge communications technology. At NPL, we touch ordinary lives in extraordinary ways and you could too.
Our world‑leading Laboratory is seeking an experienced Principal Scientist to lead our work in the field of Trustworthy AI. You will lead a team of data and AI scientists, expand capabilities within the department, prepare technical proposals and help define our strategic priorities, whilst engaging with stakeholders across government, industry and academia. You will collaborate with scientists and engineers from across NPL and externally to solve problems. You will mentor and develop early‑career staff to build capability to meet future needs.
You will develop detailed technical knowledge in trustworthy AI, including general aspects of risk and quality management, testing and assessment of machine learning algorithms, and the generation and manipulation of synthetic or simulated data for benchmarking. You will also be leading the application of machine learning methods to a wide range of measurement problems, working collaboratively with scientists across NPL and externally. We have a number of exciting projects including our flagship Centre for AI Measurement for you to come and shape the future of AI Assurance for the UK.
We believe that diversity and unique perspectives are key to the success of our science and engineering projects. For this role, we particularly encourage applications from candidates under‑represented in STEM disciplines, in particular women, disabled, black, Asian and minority ethnic candidates, as well as Armed Forces service leavers looking to transition into the civilian workforce.
Essential Experience- Extensive knowledge of machine learning and AI in the context of Physics, Mathematics, Statistics, Computer Science, or a relevant science or engineering discipline.
- An exceptional track record in research and the ability to drive ideas forward in a collaborative manner.
- Clear evidence of leadership in developing technical proposals and commercial offerings.
- Clear evidence of leadership in leading technical teams, and engaging with a variety of internal and external stakeholders to maximise the impact of our work.
- Deep knowledge of methods of machine learning and deep learning and proficiency in the practical application of those methods.
- Familiarity with testing and assessment of machine learning algorithms and AI systems that include machine learning.
- Proficiency in programming languages such as C++, Python or MATLAB.
- Familiarity with organizations for standards development, the role of relevant standards, and the process of standards development.
- Familiarity with uncertainty quantification.
- Familiarity with LLMs.
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. 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 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.
Trustworthy AI - Principal Scientist in London employer: National Physical Laboratory
Contact Detail:
National Physical Laboratory Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Trustworthy AI - Principal Scientist in London
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those at NPL or similar organisations. Attend industry events, webinars, and meetups to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your expertise! Prepare a portfolio or presentation that highlights your past projects and achievements in AI and machine learning. This will help you stand out during interviews and discussions with potential employers.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your answers and boost your confidence. Focus on articulating your leadership experience and technical knowledge clearly.
✨Tip Number 4
Apply through our website! We encourage you to submit your application directly on the NPL site. It shows your genuine interest and gives you a better chance of being noticed by the hiring team.
We think you need these skills to ace Trustworthy AI - Principal Scientist in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for Trustworthy AI shine through! We want to see how your experience aligns with our mission at NPL and how you can contribute to shaping the future of AI Assurance.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this role. Highlight your extensive knowledge in machine learning and any leadership experiences that demonstrate your ability to drive ideas forward. We love seeing how candidates connect their skills to our projects!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to explain your technical expertise and past achievements. We appreciate clarity, especially when it comes to complex topics like AI and machine learning.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at NPL!
How to prepare for a job interview at National Physical Laboratory
✨Know Your Stuff
Make sure you have a solid grasp of machine learning and AI concepts, especially in relation to Physics, Mathematics, and Statistics. Brush up on your knowledge of trustworthy AI, risk management, and the latest developments in the field. This will not only help you answer technical questions but also show your passion for the subject.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading teams and driving projects forward. Think about times when you've engaged with stakeholders or developed technical proposals. Being able to articulate your leadership style and how it has positively impacted your work will set you apart.
✨Engage with the Mission
Familiarise yourself with NPL's mission and current projects, especially the Centre for AI Measurement. Be ready to discuss how your skills and experiences align with their goals. Showing genuine interest in their work will demonstrate that you're not just looking for any job, but that you want to be part of their impactful mission.
✨Practice Makes Perfect
Conduct mock interviews with a friend or mentor, focusing on both technical and behavioural questions. This will help you refine your answers and boost your confidence. Don't forget to prepare thoughtful questions to ask at the end of the interview; this shows your enthusiasm and engagement with the role.