Programme Technical Lead – High Assurance AI

CommonAI CIC

. Own delivery of the programme's technical roadmap, from research direction to working infrastructure.

Posted 10/27/2026full-timeCambridge • United KingdomSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading engineering teams within regulated industries, particularly in financial services, while effectively translating complex technical requirements into actionable plans. Proficient in AI governance and assurance, with a strong understanding of workflows and constraints in the financial sector.

Highest-signal resume keywords

AI GovernanceExperience With PyTorchLeading Engineering TeamsUnderstanding Financial Services WorkflowsExperience With Formal Methods

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI ControlModel RiskAI AssuranceSmall Language ModelsTechnical Roadmap DevelopmentTechnical Requirement TranslationResearch DirectionInfrastructure DevelopmentVerificationProblem Solving

Soft Skills

Team LeadershipCollaborationCommunicationRelationship BuildingStakeholder Engagement

Industry Keywords

Financial ServicesBanksInsurersRegulatorsStartup ExperienceProduct DevelopmentResearch-Driven EnvironmentTechnical DeliveryDomain-Specific Language ModelsAI Safety

Tech Stack

Tools & technologies

PyTorch

About the role

Key responsibilities & impact

Own delivery of the programme's technical roadmap, from research direction to working infrastructure.
Build, hire and lead an engineering team based in Cambridge.
Translate the needs of regulated industries into clear technical requirements, making sure the programme solves the problems which matter to members.
Bring members, researchers and partners together around a shared roadmap.
Work with the architectural lead to evaluate approaches such as formal methods, AI control and small language models and decide what to build.
Represent the programme technically with members and partners.
Report to the CTO.

Requirements

What you’ll need

Understanding/experience of processes/workflows (and their associated constraints) in the financial services industry, particularly banks.
Understanding of how AI is or might be used, governed or assured in a regulated industry, ideally financial services (for example model risk, AI governance or controls).
Experience with PyTorch or other similar frameworks.
Enough technical depth to engage credibly with ML researchers and understand the problems the programme needs to solve, without needing to be the person who writes the proofs or algorithms.
Ability to bring together organisations with different priorities and build a shared plan.
Experience leading an engineering team and driving 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.
Experience in a startup, or building a new product, or independent project / research that has resulted in software used by others.

Benefits

Comp & perks

Lead a new programme at the boundary of research and industry, helping to solve tough challenges such as how AI can be used safely in critical industries.
High-impact role in a rapidly growing, well-funded organisation.
Mission-led work for the public good, released over time as managed open source.
Competitive salary, pension, healthcare and benefits, including company share scheme.
Networking opportunities with leaders across tech and academia.
Vibrant office situated near to Cambridge train station.
Equal opportunity and commitment to an inclusive and diverse workplace.