Senior Software Engineer at Wave Group, United Kingdom, £500–£850 per day

£500–850 per day

Contract Description

Contract details - Senior Python Engineer



Duration -12 month

sIR35 status - Outside IR3

5Location - Remote (UK-based

)Day rate - £500–£850/day (Depending on level of experience


)
The opportuni


ty
We're working with a world-leading AI research and product organisation - one of the most consequential technology companies operating today. They're scaling their engineering function and looking for Python engineers who have worked at the intersection of software engineering and machine learning to join on an initial 12-month outside IR35 contra

ct.This is a high-impact role. You'll be embedded in teams that move fast and care deeply about the quality of what they build, shipping production systems that sit alongside cutting-edge resear


ch.
What you'll be d


oing
Designing and building production-grade Python services, APIs, and tooling that support AI/ML research and product

teamsTranslating experimental ML code into reliable, scalable systems fit for produ

ctionCollaborating closely with researchers and ML engineers to ship infrastructure and internal to

olingOwning performance, reliability, and code quality across the systems you

touchContributing to technical direction, architecture discussions, and cross-team code re


views
What we're looki


  • ng for
    5+ years of professional Python engineering exp
  • erienceExperience working in or alongside ML/AI environments, such as research infrastructure, model serving, or data pi
  • pelinesComfort with ML frameworks such as PyTorch
  • or JAXStrong backend fundamentals across API design, async Python, testing, and performance optim
  • isationFamiliarity with cloud infrastructure (AWS, GCP, or Azure) and containerisation with Docker and Kub
  • ernetesContractor mindset: autonomous, delivery-focused, and able to operate independently from


day one
Nice

  • to havePrior experience at an AI research lab, frontier AI company, or high-growth technology orga
  • nisationDistributed systems experience across large-scale data processing or streaming pipelines such as Kafka, Ray,
  • or SparkContributions to open source ML tooling or published techni


cal work