Senior Software Engineer – AI Lab (Hybrid/Remote)

AIOI R&D Lab - Oxford

Oxford

Hybrid

GBP 90,000 - 140,000

Full time

20 hours ago
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Job summary

Aioi R&D Lab – Oxford is seeking a senior hands-on software engineer to work across the Lab's project portfolio, including the Pricing Engine and other initiatives. You will build software and infrastructure that turns research into production-ready results, with opportunities to lead technically and mentor teammates.

The role emphasizes strong collaboration with ML teams, product managers, and external partners, and requires outstanding communication and delivery in a remote-first, agile

Qualifications

  • 10+ years of commercial software experience.
  • A degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent practical experience.
  • Familiarity with core stack, strong experience in at least two: Python, TypeScript, relational databases, APIs, Docker, Kubernetes, Kubeflow, AWS.
  • Strong DevOps skills: CI/CD, version control, containerisation, cloud deployment.
  • Proven ability to work in a remote-first, iterative Agile environment.

Responsibilities

  • Contribute directly to the development, testing, and maintenance of Lab projects, products, and initiatives.
  • Build robust, maintainable software and infrastructure using the Lab's core stack.
  • Lead technically and, where appropriate, take on line management responsibilities.
  • Mentor engineers through code reviews, pair programming, and engineering best practices.

Skills

Senior engineering
Remote collaboration
Mentoring
Communication
Software design
Agile experience
Problem solving

Education

BSc in Computer Science
Equivalent practical experience

Tools

React
TypeScript
Python
Docker
Kubernetes
AWS
PostgreSQL
APIs

Job description

Aioi R&D Lab – Oxford is seeking a senior hands-on software engineer to work across the Lab's project portfolio, including the Pricing Engine and other initiatives. You will build software and infrastructure that turns research into production-ready results, with opportunities to lead technically and mentor teammates.

The role emphasizes strong collaboration with ML teams, product managers, and external partners, and requires outstanding communication and delivery in a remote-first, agile

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