Machine Learning Engineer

Role: Machine Learning Engineer

Location: London, UK

Work model: Hybrid (1 - 2 days a week in office, 3 remote)

Compensation: £55,000 - £80,000

The company:

This organisation is on a mission to reduce carbon emissions by leveraging cutting-edge AI and machine learning technologies. They focus on some of the world's largest carbon-emitting sectors, including cement and steel production. With deep expertise from leading academic institutions such as UCL and Cambridge University, the company delivers AI-driven solutions to optimise industrial processes, reducing costs and emissions while enabling the development of next-generation, climate-friendly materials.

The role:

As a Machine Learning Engineer, you will play a critical role in building, testing, and deploying machine learning models that form the foundation of their AI-driven control systems. You'll contribute to their mission of transforming high-emission industries into more sustainable and efficient processes.

This position offers the chance to work at the intersection of AI, sustainability, and industrial innovation, with opportunities to grow alongside a talented and dedicated team.

Responsibilities:

• Collaborate with the machine learning team to design, build, test, and deploy models.
• Contribute to innovation and problem-solving across the machine learning lifecycle.
• Work with the product team to design and deliver customer solutions, influencing the development of the broader product.
• Establish best practices to improve internal processes and ensure robust, scalable systems.
• Develop tools and systems that enable the team to work faster and more sustainably.

Requirements:

You will be a great fit if:

• You have 1+ years of experience as a Machine Learning Engineer.
• You possess theoretical and practical knowledge of various ML techniques and have implemented diverse solutions.
• You are proficient in Python and familiar with libraries like TensorFlow, PyTorch, or similar tools.
• You have experience working in scientific environments, particularly in physics, chemistry, materials science, or engineering.
• You are passionate about mitigating climate change and align strongly with the company's mission.

What would make you stand out:

• Experience with time series modelling, industrial data, or IoT data.
• Expertise in system dynamics modelling, model predictive control, reinforcement learning, Bayesian statistics, or system identification.
• Previous experience in a fast-paced startup environment with agile processes.
• A degree in machine learning, physics, or chemistry.
• Familiarity with modern cloud computing infrastructure (AWS, GCP, Azure, etc.).
• Eagerness to take responsibility for designing and developing innovative solutions to complex problems.

This is an exciting opportunity to join a purpose-driven team at the forefront of AI and sustainability. You will have the chance to work on impactful projects, tackle challenging technical problems, and contribute to a mission with global significance. If you’re looking to make a tangible difference in reducing emissions and driving innovation in heavy industries, this role is for you.