As a Lead Machine Learning Engineer, you will play a pivotal role in shaping the future of our clients ML technologies and strategies. You will be a technical leader responsible for driving innovation, establishing best practices, and mentoring engineers across the organisation. You will also collaborate closely with the product and leadership teams, and execute on high-impact projects that support thier mission and growth. 

You will take on a significant role in the development of thier product, guiding and mentoring other team members, and improving thier internal processes to obtain a multiplier impact across the organisation. You will have a vital part in defining your role and day-to-day work.

You will be responsible for the design and implementation of robust, maintainable, and scalable machine learning systems. You will be managing competing requirements and deadlines in an early startup environment, and helping set strategic priorities to deliver on our ambitious long-term vision for products and solutions that have a substantial impact on carbon emissions and drive the growth of the company.
You will also contribute to thier fear-free development process by writing tooling to help the team move faster and more sustainably. You will be supported by continuous builds, tests, a constructive review system, and a strong culture of improving engineering processes.
You will have great opportunities to mentor a growing team of engineers and scientists, and be supported in growing as a technical leader, as well as learning about the complex physical and chemical processes that govern heavy industry processes.

You will thrive in this role if you:

• Are passionate about making a positive impact on climate change mitigation and possess a strong interest in our mission.
• Have a proven track record of technical leadership in the field of machine learning, with extensive experience in developing and deploying ML-based products.
• Possess excellent mentoring and team-building skills, with experience in growing and leading engineering teams.
• Are familiar with a wide range of ML techniques, with strong foundational ML knowledge as well as deep expertise in one (or more) subfield of modern machine learning.
• Are proficient in Python and its ML ecosystem, and have solid experience using frameworks such as PyTorch or Jax.
• Have experience working in a scientific environment across disciplines (particularly physics, chemistry, materials science, engineering).
• Have a solid understanding of modern cloud compute infrastructure, and experience in working with AWS, GCP, Azure, and other vendors.
• Are determined to drive strategic decision-making and prioritise projects based on internal and external impact.

 if you don’t meet all of these qualifications, you should still consider applying. We are building a diverse company with people coming from all sorts of backgrounds and with different skill sets.

if you are looking for a change, and ready to test yourself in a new enviornment please apply!