Programme Technical Lead - High Assurance AI
Role Overview
The programme aims to develop AI systems for regulated settings where accuracy, explainability and trust are critical.
Areas under exploration include formal methods and verification, domain-specific small language models, and AI control platforms.
Key Skills for This Role
Full Job Posting
About CommonAI CIC
CommonAI develops collaborative AI solutions and shared infrastructure at the intersection of AI, cloud and large-scale infrastructure.
The organisation works with commercial, government and research partners across the UK and Europe.
High Assurance AI programme
The programme aims to develop AI systems for regulated settings where accuracy, explainability and trust are critical.
Areas under exploration include formal methods and verification, domain-specific small language models, and AI control platforms.
What you will do
- Own the technical roadmap and deliver working infrastructure from the programme's research direction.
- Build, hire and lead an engineering team in Cambridge.
- Translate regulated-industry needs into technical requirements.
- Align members, researchers and partners around a shared roadmap.
- Evaluate potential approaches with the architectural lead and decide what to build.
- Represent the programme technically to members and partners.
Essential experience
- Understanding or experience of financial services workflows, particularly banking.
- Understanding of AI use, governance or assurance in regulated industries; financial services is an example.
- Experience with PyTorch or a similar framework.
- Technical depth to engage with machine learning researchers without needing to write proofs or algorithms.
- Ability to bring organisations with different priorities together around a shared plan.
Desirable experience
- Engineering team leadership and delivery in a technical, research-driven environment.
- Experience with formal methods, verification, AI safety, AI assurance or AI control.
- Experience with small or domain-specific language models.
- Relationships with banks, insurers or regulators.
- Startup, new-product, or independent project or research experience resulting in software used by others.
Benefits
- Competitive salary, pension, healthcare and benefits, including a company share scheme.
- High-impact, mission-led work at the boundary of research and industry; outputs will be released over time as managed open source.
- Networking opportunities with technology and academic leaders.
- Office near Cambridge train station.
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at CommonAI C.I.C.
Simulation Validation and Uncertainty Engineer
Cambridge, GBR
CommonAI seeks an engineer to build uncertainty analysis into an AI systems simulator, calibrate models against measurements and test predictions on independent cases. Candidates need mathematical maturity, software engi
Technical Analyst, AI Infrastructure and Investment
Cambridge, GBR
CommonAI seeks a technical analyst to turn AI infrastructure investment questions into evidence through simulation studies and clear technical assessments. The role calls for relevant technical analysis or deep-tech expe
Business Development & Technical Account Executive
Cambridge, GBR
Senior Product Developer, AI Infrastructure Applications
Cambridge, GBR
Simulation Validation and Uncertainty Engineer
Cambridge, GBR
Technical Analyst, AI Infrastructure and Investment
Cambridge, GBR
Marketing Manager
Cambridge, GBR
Business Development & Technical Account Executive
Cambridge, GBR
Senior Product Developer, AI Infrastructure Applications
Cambridge, GBR