Responsible AI/ML Scientist (KTP Associate)
University of Bristol - School of Physiology, Pharmacology and Neuroscience · Bristol, CT · Yesterday
EngineeringFull-time
What will you be doing?
- Review Duel’s AI/ML workflows to identify opportunities for improved fairness, explainability, and decision lineage.
- Design and develop methods for bias detection, bias mitigation, explainable AI and trustworthy decision-making.
- Build software prototypes that can be embedded into Duel’s platform and product workflows.
- Evaluate the proposed methods using appropriate technical, ethical and user-centred criteria.
- Work closely with Duel’s product, engineering and leadership teams, supported by academic supervisors at the University of Bristol.
- Produce documentation, guidance and processes to help Duel adopt responsible-AI practices beyond the project.
- Disseminate findings through conferences, meetings, workshops and, where appropriate, academic publications.
- Lead the project day to day, including managing your workload, running meetings and workshops, solving problems, and shaping the project plan.
Requirements
- First degree or equivalent in Computer Science, Artificial Intelligence, Data Science, or a related discipline (a PhD, or near-completed PhD, is desirable; exceptional Master’s-level candidates with strong relevant experience will also be considered).
- Strong knowledge of AI and machine learning, with software engineering experience.
- Experience or understanding of fairness, bias mitigation, explainable AI, decision lineage, ethical AI, AI auditing or trustworthy AI.
- A research profile or applied experience relevant to venues such as AIES, FAccT, AAAI, or IJCAI.
- Excellent communication and problem-solving skills, with the ability to work across academic, technical and business teams.
- Confidence to lead an applied research project, adapt to changing needs, and translate research into practical impact.
Qualifications
First degree or equivalent in Computer Science, Artificial Intelligence, Data Science, or a related discipline (a PhD, or near-completed PhD, is desirable; exceptional Master’s-level candidates with strong relevant experience will also be considered).
Skills
Strong knowledge of AI and machine learning, with software engineering experience.
Experience or understanding of fairness, bias mitigation, explainable AI, decision lineage, ethical AI, AI auditing or trustworthy AI.
Benefits
- £4,000 training budget.
- 10% of your time dedicated to your personal development.
- Access to a pension scheme with generous employer contributions.
Pay
£50,000 - 60,000 p.a (subject to skills and experience)
Schedule
Full time