> Markdown version of [/jobs/ext/3693416-lead-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/3693416-lead-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Lead Machine Learning Engineer

- **Company:** gb
Kingfisher Group
- **Location:** UK (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Python (Programming Language), Machine Learning, Azure Machine Learning, Software Engineering, SQL Databases, Production Code, Machine Learning Operations
- **Published:** October 12, 2026
- **Apply:** https://www.totaljobs.com/job/lead-machine-learning-engineer/kingfisher-group-job108143596

## About the Role

* Proven experience leading engineering teams, with direct line management responsibility and a track record of developing engineers
 * Deep hands-on expertise in machine learning, with the ability to design, build and critically evaluate models and make sound architectural decisions for your team
 * Strong software engineering background, with experience delivering end-to-end production ML systems and a willingness to remain an active technical contributor
 * Strong proficiency in Python and SQL across the full ML development lifecycle
 * Experience deploying and operating ML services on cloud platforms (preferably GCP)
 * Excellent communication and stakeholder management skills, with the ability to engage senior non-technical stakeholders and advocate for technical decision

## Description

* Own the technical direction of your workstream, making decisions on model architecture, solution design and engineering approach
 * Actively contribute to the code base, writing and reviewing production code and working alongside your team
 * Manage and develop a team of machine learning engineers, including line management, coaching, performance development and workstream planning
 * Set and uphold high standards for engineering quality and ensuring end-to-end delivery from experimentation through to production
 * Collaborate with tech, product and data colleagues to shape solutions and influence the platforms and infrastructure that support your workstream
 * Translate business requirements into clearly scoped technical solutions, and communicate recommendations and results clearly to non-technical stakeholders
 * Be a champion for good engineering and ML practice across the Group AI function, contributing to a culture of knowledge sharing and continuous improvement
 * Support the data leadership in developing a strong data culture, promote the team internally and externally