SUMMARY:

digiLab is a pioneering AI company that helps enterprises transform complex challenges into innovation with uncertainty quantification, explainable AI and MLOps. Working with organisations in highly regulated or safety-critical industries to solve their complex engineering, infrastructure or data challenges, digiLab specialises in solving problems where data is sparse or uncertain. Having grown from a small team of leading mathematicians and data scientists, digiLab teaches your teams how to solve their grand challenges using a secure AI platform, alongside expert consultancy. digiLab’s platform - the Uncertainty Engine is a no-code agentic AI platform that combines data, models and workflows to connect a trustworthy AI digital thread through an organisation.
This full-time position (Monday to Thursday - we don’t work Fridays), reporting to the Head of Technical Sales, and works closely with a range of clients from understanding their technical problems (pre-sales) through to project delivery.

WHAT WE’RE LOOKING FOR:

We are looking for an excellent communicator who brings experience and enthusiasm for applying machine learning to the nuclear sector - combining two of the most exciting technologies of our time. You will have experience (either commercial or academic) in fusion or fission, and will work with our clients through technical pre-sales and solution delivery of our machine learning platform and services.
We are looking for someone who can work with our clients to understand their challenges and opportunities, and come up with innovative applications of our technology to solve them. You are a creative problem-solver who enjoys a mix between purely technical work and client interaction with both technical and non-technical stakeholders.
You have a positive teamworking spirit, thrive in fast paced environments and can balance a range of competing priorities.

WHAT SKILLS & EXPERIENCE WE ARE LOOKING FOR:

• Experience (either through postgraduate study or commercially) working in either fusion or fission or a closely related industry.
• STEM degree education (an Engineering or Physics degree or equivalent is highly desirable).
• A desire to master new areas such as data science, machine learning, uncertainty quantification.
• Strong communication skills, with an ability to dissect complex technical concepts, and explain them to stakeholders with a range of technical competencies.
• A strategic mindset - able to recognise and analyse opportunities and capabilities.
• Strong interest in business and partnerships; keen to develop commercial relationships and guide product and technology to capture market opportunities.

WHAT YOU WILL BE DOING WITH US:

As a Solutions Engineer at digiLab, you will be responsible for:

• Providing customers with technical support throughout the pre-sales process
• Designing & scoping technical solutions and working with our internal teams to produce project proposals including cost and time estimates
• Delivery of digiLab services and products through ongoing technical support and domain expertise.
• Working with other members of the digiLab team including Business Development & Sales, R&D, Product Development and Project Delivery to provide client feedback and ensure successful delivery.
• Utilising domain knowledge and customer relationships to identify new business opportunities
• Staying up to date with sector developments including competitors, trends, technologies etc
• Providing demonstrations/presentations, attending events/conferences, creating articles and enhancing digiLab visibility and credibility
• Communicating the value and benefits of digiLab’s products and services to potential customers.
• Working to deepen your understanding of digiLab’s products and services - identifying sector challenges that The Uncertainty Engine can address, and sharing insights to shape product development and team learning

We value enthusiasm and loyalty, and we’re committed to offering a great work-life balance. Along with the exciting challenges this role provides, we offer a range of benefits including:

• 4-day working week
• Competitive Salary
• BUPA private health care (via salary sacrifice