Programme Tech Lead – High Assurance AI (Cambridge)

CommonAI CIC

Cambridge

On-site

GBP 90,000 - 130,000

Full time

3 days ago
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Benefits offered by this job

Competitive salary
Pension
Healthcare
Share scheme
Open source collaboration

Job summary

CommonAI CIC in Cambridge is seeking a Programme Technical Lead to drive the High Assurance AI Programme from research direction to delivered engineering. You will report to the CTO, build and lead the engineering team, and translate regulated industry needs into concrete technical roadmaps, partnering with researchers, members and industry leaders.

Experience in financial services contexts, AI governance, and ML frameworks like PyTorch is highly valued.

Qualifications

  • Understanding of AI governance, controls in regulated industries
  • Experience translating research into delivery
  • Ability to lead multidisciplinary teams and engage with industry partners

Responsibilities

  • 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

Skills

PyTorch
ML research
Leadership
Cross-functional

Job description

CommonAI CIC in Cambridge is seeking a Programme Technical Lead to drive the High Assurance AI Programme from research direction to delivered engineering. You will report to the CTO, build and lead the engineering team, and translate regulated industry needs into concrete technical roadmaps, partnering with researchers, members and industry leaders.

Experience in financial services contexts, AI governance, and ML frameworks like PyTorch is highly valued.

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