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 NPL
to establish new Centre for AI Measurement - NPL 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 underrepresented 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
Location: The role will require regular presence in one of
our three hubs (Teddington, Glasgow, Cambridge).
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. There might be a requirement for the candidate to hold SC
clearance or be open to obtaining one.
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.