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Fin

AI Infrastructure Engineer

Fin · London, England

Posted about 3 months ago

or apply directly on Fin's site. We never take the application ourselves.

Is this posting real?

This role has been open
82 days
Fin's roles stay open a median of 82 days
Reposted
No
Salary listed
No
28% of Fin's roles list one
Ghost-job risk at Fin
high
130 stale, 0 reposted of 130 open
Hiring momentum
162 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-24

Measured from postings appearing on and disappearing from Fin's own greenhouse board since 2026-08-03. Full hiring picture for Fin.

About this role

As a Senior AI Infrastructure Engineer at Fin, you will be responsible for building and scaling systems that train and serve AI models, particularly focusing on model training and inference. Your day-to-day tasks will include implementing training pipelines for large models, optimizing inference services for performance, and collaborating with machine learning scientists to bring advanced methods into production. Additionally, you will play a role in mentoring team members and raising technical standards within the AI platform.

Our read on this posting2.4out of 5
benefits
1/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Fin as an employer.

What you need

  • 5+ years of experience in software engineering
  • Strong track record of shipping high-quality products or platforms
  • Degree in Computer Science, Computer Engineering, or related field (or equivalent experience)
  • Hands-on experience with model training (especially transformers and LLMs)
  • Hands-on experience with model inference at scale
  • Low-level GPU work experience (e.g. CUDA, Triton)

Nice to have

  • Experience at AI native companies
  • Experience running training or inference workloads on Kubernetes
  • Experience with AWS or other major cloud providers
  • Production experience with Python in ML or infrastructure contexts
  • Demonstrated passion for technology through personal projects or open source

Worth weighing

  • No specific salary or compensation details provided
  • Hybrid working policy requires being in the office at least three days per week
  • Vague on specific benefits offered, as they vary by location

Summarised from Fin's posting. Read the full original.

Listed by Fin on their greenhouse job board, last confirmed open on 2026-10-24. PitchMeAI is not the employer.

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