London (Hybrid 3 days) | Up to £125,000 + Benefits
This is an exciting opportunity for an experienced ML Engineering leader to join a growing data and technology function within a highly successful fintech organisation. You'll operate as a genuine player-coach, combining hands-on technical delivery with team leadership while helping shape the future direction of Machine Learning Engineering across the business.
The Company
This established fintech business operates at significant scale, delivering innovative financial solutions to hundreds of thousands of customers globally. They are investing heavily in their data and machine learning capabilities, with a strong focus on production-grade ML infrastructure, platform reliability, and operational excellence.
The Role
As ML Engineering Manager, you will lead a small but growing team while remaining deeply involved in technical delivery.
Key responsibilities include:
- Leading and developing a team of Machine Learning Engineers and MLOps specialists
- Taking ownership of team delivery, operational performance, and platform reliability
- Building, maintaining, and improving production-grade machine learning systems and pipelines
- Driving the maturity of MLOps capabilities, deployment processes, monitoring, and model lifecycle management
- Establishing engineering best practices across machine learning infrastructure
- Collaborating closely with Data Science, Engineering, and business stakeholders
- Supporting the growth and hiring strategy of the ML Engineering function
- Contributing hands‑on through coding, architecture, code reviews, debugging, and deployments
- Expanding machine learning capabilities within Snowflake and broader cloud infrastructure
Your Skills & Experience:
- Experience leading or managing Machine Learning Engineering, MLOps, or software engineering teams
- Strong commercial experience delivering and operating ML systems in production environments
- Proven ownership of platform delivery, reliability, and operational performance
- Ability to remain hands‑on while managing and mentoring engineers
- Strong software engineering foundations, including Python, APIs, and distributed systems
- Experience with modern MLOps tooling and practices
- Exposure to technologies such as MLflow, Airflow, Metaflow, Great Expectations, Evidently, AWS, and Snowflake
- Experience implementing CI/CD, monitoring, model governance, and deployment frameworks
- Strong stakeholder management and cross-functional collaboration skills
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Machine Learning Manager employer: Harnham
As a leading specialist data consultancy, we pride ourselves on fostering a collaborative and innovative work culture that empowers our Analytics Engineering Consultants to thrive. With a focus on professional development, we offer extensive growth opportunities and the chance to work on high-impact projects across diverse industries, all while enjoying the flexibility of remote work in the UK. Join us to be part of a team that values your expertise and encourages you to influence strategy and drive meaningful change for our clients.
