Machine Learning Engineer

Summary

Join Cleo, a fast-growing fintech unicorn, as a Machine Learning Engineer and contribute to building innovative solutions for real-world financial problems. You will lead technical work within a team, developing and deploying cutting-edge machine learning models across various products used by millions. This role involves designing AI agents, creating classifiers, and optimizing transactions to improve user financial health. The ideal candidate possesses extensive experience in data science and machine learning, strong communication skills, and a proven track record of impactful contributions. Cleo offers a competitive compensation package, flexible work arrangements, and a supportive environment focused on growth and development.

Requirements

• Excellent knowledge of both Data Science (Python, SQL) and production tools
• Experience building chat products
• A deep understanding of probability and statistics fundamentals
• Big picture thinking to correctly diagnose problems and productionising research
• Top tier communication skills, to be able to partner with Product and Commercial Leaders
• Industry-leading contributions to your field, communicated through conferences, blogs, talks, or open-source projects
• 3+ 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; familiarity with Docker containers and container orchestration tools is a plus

Responsibilities

• Design and implement AI agents to analyze and extract insights from users’ transactional data
• Develop models to interpret transactional data, enhancing the understanding of users’ finances
• Create contextual intent classifiers to understand user conversations with Cleo, enabling tailored and accurate platform responses
• Engineer ML models to identify and deliver relevant actions to users within Cleo, ensuring a seamless, context-aware conversational experience
• Build models to evaluate risk in customer interactions with bank transaction features and user activities
• Develop optimization models to improve payment success rates for customers while minimizing business costs, tackling this as a two-sided optimization challenge

Preferred Qualifications

Familiarity with Docker containers and container orchestration tools

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