About the Position

We are seeking a Senior Machine Learning Engineer to join Cleo, a leading fintech company dedicated to revolutionizing the way people manage their finances. As a part of our team, you will work on developing innovative solutions to improve financial health using advanced machine learning techniques.

About the Company

About Cleo

At Cleo, we're on a mission to fundamentally change humanity's relationship with money. We envision a world where everyone has access to a hyper-intelligent financial advisor. Cleo is a profitable, fast-growing unicorn with over $300 million in ARR and growing over 2x year-over-year. Join a team of brilliant, driven individuals who are passionate about making a real difference.

Responsibilities

Training and fine-tuning models to solve customer problems across our chatbot and transaction data.
Deploying these models into our production environments using our in-house ML platform.
Working cross-functionally with backend engineers, data analysts, UX writers, product managers, and annotation teams to ship features that improve our users’ financial health.
Taking the initiative to propose and lead technical work towards previously unknown or poorly understood problems.
Keeping Cleo at the forefront of NLP by driving the adoption of appropriate state-of-the-art techniques and communicating the team’s successes and learnings at the company level and beyond.
Mentoring and advising colleagues on their choices of models, architecture, and evaluation, promoting best practices for how we use LLMs.

Requirements

Excellent knowledge of Data Science (Python, SQL) and production tools.
A deep understanding of probability and statistics fundamentals.
Big picture thinking to correctly diagnose problems and productionising research.
Top-tier communication skills to partner with Product and Commercial Leaders.
Industry-leading contributions to your field, communicated through conferences, blogs, talks, or open-source projects.
Advanced Degree in a quantitative discipline or equivalent commercial experience.

Nice to Have

Strong experience with additional programming languages, such as Java, Scala, C++.

We Offer

A competitive compensation package (base + equity) with 3-annual reviews, aligned to our termly OKR planning cycles.
Mid-level:
- London, UK Hybrid: £74,266 - £91,000 gross annually
- UK Remote: £69,699 - £85,000 gross annually
Senior-level:
- London, UK Hybrid: £94,059 - £115,000 gross annually
- UK Remote: £88,938 - £109,000 gross annually
Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton & EQT Ventures.
A clear progression plan. We want you to keep growing.
Flexibility. We can’t fight for the world’s financial health if we’re not healthy ourselves.
Work where you work best. We’re a globally distributed team.
Company-wide performance reviews every 4 months.
Generous pay increases for high-performing team members.
Equity top-ups awarded across all levels in performance reviews.
25 days annual leave a year + public holidays (+ an additional day for every year you spend at Cleo, up to 30 days).
1 month paid sabbatical after 4 years at Cleo.
6% employer-matched pension in the UK.
Private Medical Insurance via Vitality, dental cover, and life assurance.
Online mental health support via Spill.
Enhanced parental leave.
Workplace Nursery Scheme.
Paid for access to multiple AI platforms (ChatGPT, Codex, Claude).
Access to the latest AI coding models.
Pick your kit - choose between a Windows or an Apple computer.
Regular socials and activities, online and in-person.
And many more!

Final compensation will be determined based on the candidate's seniority, qualifications, skills, and previous experience.

We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds.

Apply for this role

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(Senior) Machine Learning Engineer

Job Description, Responsibilities & Requirements