hirly

Jobgether

Senior Backend Engineer: Machine Learning Infrastructure

UK

See how you match this job — and similar ones. Free.

Upload your resume and hirly scores it against this role at Jobgether first, then against similar open jobs, and shows where you fit and why.

PDF or DOCX, up to 12MB. No sign-up to see your matches.

Get past the screening software and onto a recruiter's desk

hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.

  • Keywords matched to this posting
  • Fit score before you apply
  • Cover letter included

Matched against 2.3M live jobs from 200,000+ employers in 200+ countries.

Tailor my resume for this job →

Apply from your AI assistant

Connect hirly to Claude and ask it to apply to this job. hirly tailors your resume, fills the employer’s form and asks before sending. ChatGPT: manual setup today.

Some employer sites stop an application at a CAPTCHA or sign-in and hand it back with a link. Applying needs a paid plan. Works with any assistant that supports MCP.

hirly's read of this role

Role family
Engineering
Seniority
Senior
Country
GB
Work mode
Remote-friendly
First seen by hirly
2 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Backend Engineer: Machine Learning Infrastructure based in United Kingdom.

  • As a Senior Backend Engineer, you’ll help build the infrastructure that enables machine learning teams to develop, deploy, and operate models reliably at scale.
  • You’ll own critical backend services, data pipelines, and platform capabilities supporting workloads ranging from traditional machine learning to LLMs.
  • The role combines distributed systems engineering, cloud infrastructure, API development, observability, and platform design.
  • You’ll work closely with ML and product teams to understand their needs and turn them into reusable, self-service infrastructure.
  • You’ll have significant autonomy to make technical decisions, evaluate trade-offs, and take solutions from design through continuous improvement.
  • The environment is remote-first, collaborative, and strongly oriented toward ownership, thoughtful engineering, and modern AI-assisted development.
  • This is an opportunity to have a direct impact on how teams build and operate machine learning products at scale.
Original posting on Jobgether's site ↗

Want this one?

Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.

Tailor my resume for this job