Principal Machine Learning Engineer - Personalisation - Remote

Overview

The Principal Machine Learning Engineer at Cleo will lead technical work in building innovative solutions to enhance users' financial health through AI and machine learning.

In Short

• Lead technical projects in machine learning.
• Train and fine-tune models for personalized user experiences.
• Deploy models in production environments.
• Integrate models with LLMs from OpenAI, Anthropic, GCP, AWS.
• Collaborate with cross-functional teams.
• Drive adoption of state-of-the-art techniques.
• Communicate team successes and learnings.
• Support ML Engineers in problem framing and evaluation.
• Work on product features that directly impact users.
• Contribute to the company's mission of improving financial health.

Requirements

• Experience in machine learning roles as a technical leader.
• Strong knowledge of Data Science (Python, SQL).
• Deep understanding of probability and statistics.
• Excellent communication skills.
• Industry contributions through conferences or open-source projects.
• Big picture thinking for problem diagnosis.
• Advanced degree in a quantitative discipline (nice to have).
• Experience with additional programming languages (nice to have).

Benefits

• Competitive compensation package with bi-annual reviews.
• Work at a fast-growing tech startup.
• Clear progression plan for career growth.
• Flexible working arrangements.
• 25 days annual leave + public holidays.
• 401k matching in the US and pension in the UK.
• Private medical and dental insurance.
• 1 month paid sabbatical after 4 years.
• Online courses and internal training.
• Regular social activities and online mental health support.