Job Description

At Materials Nexus, our mission is accelerate the change to net-zero through the disruption of materials discovery and production.

We are looking for a strategic and innovative Machine Learning Lead to guide our ML team and enhance our platforms capabilities. In this role, you’ll combine technical leadership with collaborative mentorship, working to elevate our scientific approach, and shape our roadmap for ML driven materials discovery at scale.

What you will be doing:

• Lead and inspire the ML team by fostering a culture of continuous learning, growth, and excellence.

• Facilitate and support project timelines, sprint planning, and resource allocation to ensure alignment with broader company goals and efficient execution of team initiatives.

• Collaborate with our science team to identify opportunities to enhance our platform, influence product roadmap, and conduct technical feasibility assessments.

• Optimise and own full cycle model management by ensuring data accuracy, implementing experimentation and research around new models, and championing productisation, from proof of concept to delivery

• Deploy best practices throughout the machine learning team including coding standards, rigorous testing, and model evaluation protocols, driving a culture of engineering excellence and accountability.

• Apply data science and machine-learning to infer understanding from our datasets.

Qualifications

We are looking for talented and, more importantly, passionate individuals who are motivated by the application of science and innovation to achieve net-zero materials. 

• Experience scaling ML products; this could be in the context of using ML within other scientific fields, such as pharmaceuticals or physics

• A proven track record of mentoring and successfully scaling teams to drive transformative growth

• Expertise in overseeing comprehensive end-to-end project management, ensuring successful execution from inception to completion.

• Experience applying machine-learning and data science techniques to a scientific solution or product

• Experience deploying models in a cloud environment. 

• Understanding of containerisation technology (e.g., Docker). 

Nice to haves:

• Publications on relevant topics

• Understanding of issues in material sustainability and commitment to addressing them. 

Additional Information

Stock Options: We value our employees and you to share in the success of the company. You will be a vested partner in our future achievements. 

Flexible holidays: 33 days annual leave/year which can be used on UK public holidays or on more convenient days for you.

Fully covered comprehensive private healthcare and mental health support. 

Your birthday day off: Enjoy a well-deserved day off to celebrate and recharge.

✈️Work abroad: Travel the world while you get your job done - see family, or simply explore a new place!

Enhanced Family & Carers leave to ensure you get that quality time in when you need it 

Flexible work arrangements: our shared office space in Shoreditch is here to help foster collaboration and community. Most of the team is in 2-3 days a week, but we are happy to discuss alternatives as necessary.

Continuous learning and growth: We’re pioneers in our field, so you'll be encouraged to expand your knowledge and skills in new areas too.

The process

First step: A 30 minute video call with Julia, our People Associate, to learn a bit more about you and what you are looking for!

Second step: A 45 minute video call, with technical team to understand how you can make an impact in this role.

Third step: A 60 minute in person interview, for an opportunity to meet the team!