Machine Learning Lead

November 10

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Materials Nexus

WebsiteLinkedInAll Job Openings

Machine Learning • AI • Physics • Materials

11 - 50 employees

🔬 Science

🏢 Enterprise

💰 Seed Round on 2023-07

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. • 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.

Requirements

• 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).

Benefits

• Stock Options: We value our employees and you to share in the success of the company. • 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. • 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.