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Oxfida, an Oxford-based AI R&D company, seeks a senior, hands-on software engineer to contribute across projects from research to production. You will work with React, TypeScript, Python, and cloud technologies to build scalable AI-driven solutions in insurance, risk governance, and data privacy contexts.
Based in Oxford with hybrid work options, the role offers leadership opportunities, including technical lead responsibilities and potential line-management duties, while collaborating with
Contract: Full Time & Permanent.
Location: Oxford, hybrid preferred, though we'd consider fully remote for the right person.
Oxfida (formerly Aioi R&D Lab – Oxford) is an AI R&D company based in Oxford, on a mission to harness AI to understand, predict, and manage risk, helping build a safer, more resilient society.
We sit at the intersection of academia and industry, working with Oxford's professors and researchers alongside commercial partners, and combining that expertise with real-world risk data at global scale to turn frontier research into AI that actually ships rather than just gets published.
Our work spans AI for insurance underwriting and claims, AI risk governance, privacy-preserving technologies for agentic AI, and quantum optimisation, alongside partnership projects on nature and supply chains and the emerging challenges nobody's solved yet.
We build AI products and solutions for insurers, businesses, and public-sector organisations worldwide, and run innovative research projects that push these technologies further, helping people make better decisions in an uncertain world.
Trusted AI. Built in Oxford.
You’ll work across Oxfida's broader project portfolio, including our Pricing Engine and other products and initiatives, building the software and infrastructure that turns research and product ideas into things that actually run. It's a senior, hands‑on engineering role with real scope to lead technically and, where it makes sense, take on line management.
Bonus points: experience architecting complex distributed software systems for cloud environments, experience deploying ML, AI, or data-driven systems into production or near-production settings, or prior Technical Lead or line management experience.