Machine Learning Engineer

Summary

Join Cleo, a fast-growing fintech unicorn, as a Machine Learning Engineer and contribute to our mission of improving global financial health. You will be responsible for training and deploying machine learning models to enhance our chatbot and app, creating a more personalized and engaging user experience. This role involves collaborating with cross-functional teams, integrating LLMs, and driving the adoption of cutting-edge techniques. You will work on real-world problems, impacting millions of users directly. Cleo offers a competitive compensation package, flexible work arrangements, and a supportive environment for growth and development.

Requirements

• 3-5 years of experience in data science, machine learning engineering, or related roles
• Excellent knowledge of both Data Science (python, SQL) and production tools
• Strong ability to communicate findings to non-technical stakeholders
• Experience deploying machine learning models into production

Responsibilities

• Train and fine-tune models to help customers get more value from our chatbot and app through deeper personalization, creating a smarter & more engaging experience, recommending the right content and features to make users love Cleo
• Deploy these models into our production environments using our in-house ML platform
• Integrate LLMs hosted by OpenAI, Anthropic, GCP, AWS
• Work cross-functionally with backend engineers, data analysts, UX writers, product managers, and others to ship features that improve our users’ financial health
• Drive the adoption of appropriate state-of-the-art techniques for recommendation, message campaign optimisation, and contextual bandits
• Communicate the team’s successes and learnings at the company level & beyond
• Develop a holistic view of personalisation and user-level features across Cleo, taking the initiative to extend existing approaches to benefit new areas of the app and conversations
• Support ML Engineers around problem framing, ML modelling, and evaluation

Preferred Qualifications

Experience with recommender systems, personalisation, or ad optimisation

Benefits

• A competitive compensation package (base + equity) with bi-annual reviews, aligned to our quarterly OKR planning cycles
• Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton & EQT Ventures
• A clear progression plan
• Flexibility
• Work where you work best. We’re a globally distributed team. If you live in London we have a hybrid approach, we’d love you to spend one day a week or more in our beautiful office. If you’re outside of London, we’ll encourage you to spend a couple of days with us a few times per year. And we’ll cover your travel costs, naturally
• Company-wide performance reviews every 6 months
• Generous pay increases for high-performing team members
• Equity top-ups for team members getting promoted
• 25 days annual leave a year + public holidays (+ an additional day for every year you spend at Cleo, up to 30 days)
• 6% employer-matched pension in the UK
• Private Medical Insurance via Vitality, dental cover, and life assurance
• Enhanced parental leave
• 1 month paid sabbatical after 4 years at Cleo
• Regular socials and activities, online and in-person
• We'll pay for your OpenAI subscription
• Online mental health support via Spill
• Workplace Nursery Scheme