Senior Machine Learning Scientist

What's the opportunity?

Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands.

We are an extremely product focused team. We work in partnership with Product and Design functions of the teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test.

We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy.

What will I be doing?

• Identify areas where ML can create value for our customers
• Identify the right ML framing of product problems
• Work with teammates and Product and Design stakeholders
• Conduct exploratory data analysis and research
• Deeply understand the problem area
• Research and identify the right algorithms and tools
• Be pragmatic, but innovate right to the cutting edge when needed
• Perform offline evaluation to gather evidence an algorithm will work
• Work with engineers to bring prototypes to production
• Plan, measure & socialize learnings to inform iteration
• Partner deeply with the rest of team, and others, to build excellent ML products

What skills might I need?

• Broad applied machine learning knowledge
• 3-5 years applied ML experience
• Practical stats knowledge (experiment design, dealing with confounding, etc)
• Intermediate programming skills
• Strong communication skills, both within engineering teams and across disciplines
• Comfort with ambiguity
• Typically have advanced education in ML or related field (e.g. MSc)
• Scientific thinking skills

Bonus skills & attributes

• 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

Benefits

• Competitive salary and equity in a fast growing start up
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work!
• Pension scheme & match up to 4%
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Flexible paid time off policy
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• If you're cycling, we've got you covered on the Cycle to Work Scheme. With secure bike storage too
• MacBooks are our standard, but we're happy to get you whatever equipment helps you get your job done
• Unlimited access to Claude Code and best in class AI tools; experimentation & building is encouraged & celebrated
• Relocation support for those moving to our offices

Policies

Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.

Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.