Lead ML Engineer
London - Hybrid (1 day per week in office)
£ 80,000 - £100,000 DOE + Bonus (up to 15%) + Excellent Pension + Car Scheme + Technology Benefits + EAP Programme + Flexible working

This is an incredible opportunity for a Lead ML Engineer to join a fast paced and forward-thinking business always looking to innovate and lead from the front in the technology world.

The company are a leading organisation in the energy sector, dedicated to delivering innovative solutions and improving operational efficiency. As part of their Data Science team, you will be at the forefront of cutting-edge projects, helping to shape the future of data-driven decision-making and machine learning infrastructure.

In this role, you will lead machine learning projects from concept to production, develop platform tools, and collaborate with data scientists to build data pipelines. You’ll mentor junior team members, work with IT teams to advance projects, and improve deployment processes. Additionally, you’ll design and maintain cloud infrastructure, ensure high-quality code, and participate in code reviews.

The ideal candidate will have proven experience in a similar role in some combination of Software, Data or DevOps and strong experience working with ML models. You will be an expert with Python and associated libraries (Pandas, scikit-learn etc.), have strong Azure DevOps exposure (Terraform, Docker, Kubernetes) and high proficiency in SQL.

An incredible opportunity for a confident and commercial ML Engineer to lead from the front working with cutting edge technology and driving company growth.

The Role:

• Lead machine learning projects from concept to production.
• Develop platform tools and collaborate with data scientists to build data pipelines.
• Mentor junior team members and support their technical growth.
• Work closely with IT teams to advance project goals and improve deployment processes.
• Design and maintain cloud infrastructure to support machine learning initiatives.

The Person:

• Proficiency in Python, including libraries such as Pandas and scikit-learn, and strong SQL skills.
• Deep understanding of software engineering best practices
• Experience with tools like Azure, Azure ML, GitHub Actions, Terraform, Packer, Airflow, Docker, and Kubernetes
• Expertise in Linux/Windows VM administration.

Reference Number: BBBH248582

To apply for this role or to be considered for further roles, please click “Apply Now” or contact Ryan McIntyre at Rise Technical Recruitment.

Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles.