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About the Role
The AI Security Institute is seeking an Engineering Lead to manage and oversee a growing team of engineers focused on understanding advanced AI risks and translating that knowledge into action. This role involves developing new evaluations, building data pipelines, driving research studies, finetuning LLMs, and building custom Reinforcement Learning environments.
Responsibilities
- Manage and oversee a growing team of engineers.
- Develop new evaluations and technical capability demonstrations.
- Build robust data pipelines.
- Drive world-leading research studies using complex multi-agent setups.
- Fine-tune LLMs (>100B parameters).
- Build custom Reinforcement Learning environments.
- Design scalable system architecture for repeatable delivery and analysis of model evaluations and benchmarks.
- Build an automated pipeline for end-to-end human-AI experiments.
- Design and build a toolkit for multi-agent studies.
- Deliver engineering-heavy research projects on Human Influence topics.
- Develop and deliver an engineering roadmap for the Human Influence team.
- Lead and grow the HI Engineering function, including managing Research and Software Engineers.
Requirements
- Experience leading a complex engineering or research project from scoping to deployment or publication.
- Clear understanding and views on how AI and coding assistants should change how an engineering team works and interacts with research teams.
- Clear understanding of the current AI safety literature, and an interest in topics relevant to Human Influence.
- Clear and consistent communication.
- Experience translating research questions into reproducible engineering tasks.
- Proven experience working with non-technical stakeholders to support a product or research roadmap.
- Clear grasp of software design concepts, especially for cloud deployments and databases (e.g., using Docker, Kubernetes, or AWS primitives).
- Production experience with cloud deployments and databases preferred.
- Writing scalable and maintainable production code in Python.
- Experience building or finetuning an ML model, ideally an LLM, using common libraries like PyTorch, Keras, JAX, or custom code.
- Experience shipping an AI safety pipeline to production (e.g., evaluations, monitoring, serving custom models) is desirable.
- Experience using data to answer complex research questions is desirable.
- Experience with frontend (e.g., TypeScript) and node.js deployments is desirable.
- Line management experience of at least 1 year is desirable.
- Experience hiring and mentoring technical staff is desirable.
- Successful candidates must undergo a criminal record check and get BPSS clearance.
- Preference for eligibility for counter-terrorist check (CTC) clearance.
Skills
- Python
- Docker
- Kubernetes
- AWS
- PyTorch
- Keras
- JAX
- TypeScript
- node.js
- AI safety
- Machine Learning
- LLMs
- Reinforcement Learning
- Data Pipelines
- Cloud Deployments
- Databases
- Software Design
- Human-AI Interaction
- Multi-agent Systems
Location
- London
- Birmingham
- Cardiff
- Darlington
- Edinburgh
- Salford
- Bristol
Work Type
- Hybrid working
- Occasional remote work abroad
Experience Level
- Leadership role
- Experience leading a complex engineering or research project
- Line management experience of at least 1 year desirable
Salary/Compensations
- £65,000–£145,000
- Level 3: £65,000–£75,000
- Level 4: £85,000–£95,000
- Level 5: £105,000–£115,000
- Level 6: £125,000–£135,000
- Level 7: £145,000
Benefits
- Ample compute
- Extensive operational support
- Work with experts across national security, policy, AI research and adjacent sciences
- Own important problems early
- 5 days off for learning and development
- Funding for conferences and external collaborations
- Freedom to pursue research bets without product pressure
- Opportunities to publish and collaborate externally
- Modern central London office
- Option to work in similar government offices in Birmingham, Cardiff, Darlington, Edinburgh, Salford or Bristol
- Stipends for work-from-home equipment
- At least 25 days’ annual leave
- 8 public holidays
- Extra team-wide breaks
- 3 days off for volunteering
- Generous paid parental leave (36 weeks UK statutory leave shared + 3 extra paid weeks + option for additional unpaid time)
- 28.97% employer pension contribution
- Discounts and benefits for cycling to work, donations and retail/gyms
About the Company
- The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action.
- We’re in the heart of the UK government with direct lines to No. 10 (the Prime Minister's office), and we work with frontier developers and governments globally.
- Our work is highly interdisciplinary, drawing on methods from computational social science, AI safety and security, cognitive and behavioural science, machine learning, and data science.
- The Human Influence (HI) team focuses on the ways in which AI can influence human beliefs, decisions, and behaviour.
Equal Opportunity
- The Civil Service embraces diversity and promotes equal opportunities.
- We run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria.
- The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy.
- The Civil Service is committed to attract, retain and invest in talent wherever it is found.
- We may be able to offer roles to applicant from any nationality or background.