Machine Learning Manager

tem

Job Overview

Location

United Kingdom

Job Type

Full-time

Full Job Description

📋 Description

• Lead the people side of tem's most technically complex team, the ML engineers who build Rosso, the AI-powered engine that prices, forecasts, and optimises energy transactions, ensuring they have the clarity, coaching, and operating systems to do their best work in a high-growth startup environment.
• Build and maintain high-performing ML team operations by leading hiring, onboarding, performance management, and career development; establishing clear operating rhythms, feedback loops, and succession plans that support engineers across junior to staff levels.
• Enable technical excellence without technical authority by acting as a sounding board for ML engineers on forecasting, optimisation, pricing, and classical ML challenges, surfacing risks and enabling expert decision-making without adding review layers.
• Drive collaboration between ML and software engineering within the Rosso service by partnering closely with the Rosso Engineering Manager to align priorities, improve cross-team communication, and strengthen integration of model development and production systems.
• Represent the ML team and champion tem's culture in a fully remote, distributed environment by communicating progress and risks clearly, leading intentional remote work practices, and engaging externally to attract top ML talent.
• Foster a strong feedback loop between production monitoring and development priorities, ensuring the team operates with predictability and focus on commercially critical outcomes in energy transaction infrastructure.
• Establish a clear development path for each ML engineer through progression frameworks, coaching, and performance conversations that build capability and address underperformance effectively.
• Contribute to tem's mission of rearchitecting global energy markets by supporting the team that delivers transparent, efficient, and fair electricity pricing through AI-native infrastructure.

🎯 Requirements

• Proven experience managing ML engineers or scientists across junior to staff levels, with sufficient understanding of the ML lifecycle and core disciplines including time-series forecasting, pricing, optimisation, and classical ML to manage credibly.
• Strong people development track record, including effective 1:1s, performance conversations that drive growth, clear progression frameworks, and coaching that builds capability across diverse career stages.
• Experience building and owning team operating systems such as prioritisation frameworks, sprint cadences, incident review processes, and feedback loops that enable consistent performance in technically complex teams.
• Strong hiring instinct for ML roles, including defining the bar, building competitive pipelines, and attracting top talent who have multiple offers.
• Experience managing technically diverse ML teams, capable of holding substantive conversations across forecasting, optimisation, and pricing domains without needing to be the expert in any single area.
• Proven ability to thrive in startup or high-growth environments, comfortable with ambiguity and ready to go beyond textbook people management to support team and mission.

🏖️ Benefits

• Competitive salary of £105,000 or equivalent in local currency, reviewed twice a year using real-time market data for transparent and consistent pay.
• Stock options providing ownership in the mission for every team member.
• 25 days holiday plus public holidays, with flexibility to swap public holidays and an extra birthday day off.
• Fully remote and flexible working with clear core hours and no internal meetings on Friday afternoons.
• Home working and wellbeing budgets: up to £1,200/€1,200 annually for remote setup and up to £150/€150 monthly for wellbeing support such as therapy, gym memberships, or meditation apps.

Skills & Technologies

Remote

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About tem

tem is an energy technology company revolutionizing how businesses procure electricity and generators sell power. Through its innovative RED™ platform, tem helps businesses significantly reduce energy costs by eliminating waste from the traditional system, often achieving savings of up to 30%. The platform offers transparent billing and connects users with UK-based renewable generators, fostering a fairer value chain. Businesses gain total clarity over their energy usage and costs, while generators benefit from increased earnings for their output. With a mission to provide universal access to low-cost electricity, tem has already empowered over 3000 sites to optimize their energy transactions, driving efficiency and sustainability in the energy market.

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