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Fin

Staff Machine Learning Scientist

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 Staff Machine Learning Scientist at Fin, you will be responsible for defining new machine learning features, researching algorithms, and rapidly prototyping solutions for customer issues. You will work closely with product and design teams, mentor other engineers, and ensure high technical standards while identifying how ML can add value. The role involves conducting exploratory data analysis, evaluating algorithms, and collaborating to bring prototypes to production.

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

  • 5-8 years applied ML experience
  • Previous background in a senior/staff role (data science, software development or academic)
  • Significant, demonstrated impact that your work has had on the product and/or the teams
  • Strong programming skills
  • Experience as the primary technical leader for a team
  • Strong communication skills, both within engineering teams and across disciplines

Nice to have

  • Track record shipping ML products
  • PhD or other experience in a research environment
  • Deep experience in an applicable ML area - E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering
  • Strong stats or math background
  • Visualization, data skills, SQL, matplotlib, etc.

Worth weighing

  • No specific salary or compensation details provided
  • Hybrid working policy requires at least three days in the office per week
  • Company culture avoids divisive subjects and focuses on work-related goals

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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