Applied AI & Platform Engineer
Londononsitemid
via Greenhouse
About this role
The Role
As an Engineer in our newly established and rapidly growing AI team, you will build and operationalize high-value AI workflows across business use-cases, product integrations, and internal data intelligence (Data Lake). You will help extend our AI platform and shared services by delivering production-grade capabilities on our Azure infrastructure, integrating LLM functionality into reliable, secure, and observable systems, including scoped agent workflows that can be shipped, monitored, and iterated quickly.
Success in this position requires strong engineering fundamentals, an operational mindset, and the ability to work autonomously while partnering effectively with technical and non-technical stakeholders across global teams.
Key Responsibilities…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, azure, docker, terraform, teams
2
Level fit
This role is mid-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in London. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonazuredockerterraformteams
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