Machine Learning Engineering Manager

Who We Are: We are rebuilding the energy transaction, making it transparent and fair. Our goal is to put power back where it belongs, in the hands of customers and to take on one of the most critical problems of our century, access to low cost electricity. We exist to fix a broken global energy market that’s long favoured legacy operators, intermediaries, and opaque pricing. Today’s electricity system was not designed for rapid decarbonisation, AI-driven efficiency or fair access for the actual users - businesses and generators. We’ve built the first AI native transaction infrastructure to reinvent how electricity is bought, sold and priced. Our technology is designed to cut out the inefficient fees, automate complex market flows, and bring transparency and fairness to energy transactions at scale.

The Role: We're looking for a Machine Learning Engineering Manager to own our most technically complex function. Rosso is our core IP: the AI-powered engine at the heart of how we price, forecast, and optimise energy transactions. The ML engineers who build it work across time-series forecasting, pricing, optimisation, and classical ML simultaneously. This role sits within our Leader track: one person owns their unit end to end - people, strategy, delivery, budget, and outcomes. You're the person accountable for the ML function performing and for Rosso hitting its numbers. You’ll report into the GM of Rosso, set strategic direction for ML in partnership with them, and work closely with the Rosso Engineering Manager to keep ML and software engineering operating as one team.

Responsibilities:

• Own the ML function end to end: You hold the people, the priorities, the strategy, and the outcomes.
• Set and sign off on ML strategy: Work with your ML engineers and Experts to develop strategic direction.
• Build a high-performing team: Lead hiring, onboarding, performance management, and career development.
• Own the operating systems: Build and maintain the rituals and structures that keep the team effective.
• Drive collaboration with the Rosso Engineering Manager: Partner closely to align priorities between ML and software engineering.

Requirements:

• Ownership orientation: You want accountability for outcomes, not just oversight of a team.
• Strong management experience: Proven experience managing ML engineers or scientists.
• A strong people development track record: 1:1s and performance conversations that actually move people forward.
• Experience building and owning team operating systems.
• A strong hiring instinct for ML roles.
• Experience managing a technically diverse team.
• Experience in a startup or high-growth environment.

Bonus points:

• Background in energy, fintech, or another domain where ML is mission-critical.
• Experience building or evolving a career framework or skills matrix from scratch.
• Familiarity with the intersection of ML and software engineering.

Benefits & Perks:

• Competitive salary with reviews twice a year.
• Stock Options - everyone on the team has ownership in our mission.
• 25 days holiday + public holidays.
• Remote & flexible working.
• Home working & wellbeing budgets.

Interview Process: Our processes normally take around 2-3 weeks from first call to offer. We welcome applications from people of all backgrounds, experiences, and identities, including those that are traditionally underrepresented in the tech and energy sectors.