Principal Machine Learning Engineer

Summary

Join Cleo as a Principal Machine Learning Engineer and lead technical work within a team of creative engineers. You will train and deploy cutting-edge machine learning models across various products, impacting millions of users. Responsibilities include model training and fine-tuning, model deployment, integration with LLMs, cross-functional collaboration, and driving the adoption of state-of-the-art techniques. The ideal candidate possesses extensive experience in industry machine learning roles, excellent knowledge of data science and production tools, a deep understanding of probability and statistics, and top-tier communication skills. Cleo offers a competitive compensation package, flexible work arrangements, and various benefits, including paid time off, retirement benefits, health insurance, and professional development opportunities.

Requirements

• Experience in industry machine learning roles as a technical leader or principal/staff engineer
• Excellent knowledge of both 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 be able to partner with Product and Commercial Leaders
• Industry-leading contributions to your field, communicated through conferences, blogs, talks, or open-source projects

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
• Deploy these models into our production environments using our in-house ML platform
• Integrate our models with 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

• Advanced Degree in a quantitative discipline
• Strong experience with additional programming languages, such as Java, Scala, C++
• Broader contributions to your field through: conferences, blogs, talks, or open-source projects

Benefits

• A competitive compensation package (base + equity) with bi-annual reviews
• 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
• 25 days annual leave a year + public holidays (+ an additional day for every year you spend at Cleo)
• 401k matching in the US and 6% employer-matched pension in the UK
• Private Medical Insurance
• Private Dental Insurance
• 1 month paid sabbatical after 4 years at Cleo!
• Online courses & internal training to level up your skills
• Regular socials and activities, online and in-person
• Online mental health support via Spill