Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.

We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.

Job Description

Lead Machine Learning Engineer:

Up to 125k

Xcede are currently working with one of Europe’s most respected applied AI companies.

They work closely with governments and major organisations to solve complex, high-impact problems using machine learning and data science.

Something particularly impressive is their reputation as a tech unicorn, valued at over £1bn, and their position as a market leader in safe, real-world AI.

Currently, they are looking to hire ML Engineers for their Lead position in their Energy and Environmental unit

The ideal candidate will be someone who has done hands-one work as a Lead ML engineer within the Energy or Environmental sector.

You will:

Provide technical leadership for complex machine learning initiatives, evaluating strategic trade-offs, establishing project plans, and managing delivery across multiple streams in uncertain or high-stakes environments Develop and manage robust, scalable machine learning and software solutions while supporting the creation of shared tools and frameworks and enabling engineers to contribute effectively. Drive recruitment and support the development of engineers, provide technical guidance to clients, define the scope of large-scale projects, and promote the adoption of new technologies and improved engineering practices.

Requirements:

Technical specialist Proficiency in Python Proficiency with leading cloud platforms Proficiency with Docker and Kubernetes Have mentored engineers

If you are interested in this or other ML Engineering positions, please contact Gilad Sabari @ gilad.sabari@xcede.com | 02074226861

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.