tem - ML Engineering Lead
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Requirements
• Ownership orientation: You want accountability for outcomes, not just oversight of a team. You're comfortable holding the pen on strategy, budget, and people - and being the person the GM holds to account when the numbers aren't moving. • Ownership orientation: • Strong management experience: Proven experience managing ML engineers or scientists at varying ranges of experience (Junior to Staff), with enough understanding of the ML lifecycle and core disciplines including forecasting, optimisation, pricing, and classical ML to manage credibly • A strong people development track record: 1:1s and performance conversations that actually move people forward, action underperformance, clear progression frameworks, and coaching that builds capability across engineers at different career stages • A strong people development track record • Experience building and owning team operating systems: the prioritisation frameworks, sprint cadences, incident review processes, and feedback loops that make a technically complex team perform consistently. • Experience building and owning team operating systems • A strong hiring instinct for ML roles: you have defined the bar, built pipelines in a competitive market, and brought in strong people who had other options • A strong hiring instinct for ML roles • Experience managing a technically diverse team: comfortable holding substantive conversations across different ML problem types and helping a multi-disciplinary team prioritise and operate without being the expert in any single domain • Experience managing a technically diverse team • Experience in a startup or high-growth environment: comfortable with ambiguity, able to operate effectively when not everything is figured out, and ready to do more than a textbook people-manager role at a larger organisation would require • Experience in a startup or high-growth environment • 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, and how to facilitate effective collaboration between the two • You have hired top ML talent in a competitive market and know how to attract people who have options
Responsibilities
• Own the ML function end to end: You hold the people, the priorities, the strategy, and the outcomes. This isn't a coordination role. You're the single accountable leader for how the ML function performs inside Rosso. • Own the ML function end to end: • Set and sign off on ML strategy: Work with your ML engineers and Experts to develop strategic direction. Propose it, debate it, sign off with the GM. When there's alignment, operate with a high degree of autonomy. • Set and sign off on ML strategy: • Build a high-performing team: Lead hiring, onboarding, performance management, and career development. Set the frameworks and operating rhythms that give ML engineers clarity, support, and room to grow. Act on underperformance. Hold the hiring bar high as the team scales. • Build a high-performing team: • Own the operating systems: Build and maintain the rituals and structures that keep the team effective - sprint cadences, incident review, model monitoring feedback loops, cross-team reporting, and the prioritisation processes that keep the function focused on what matters. • Own the operating systems: • Enable without adding overhead: You are a sounding board, not a technical authority. Ask the right questions, help surface risks, and create space for experts to make good decisions - without positioning yourself as another review layer. • Enable without adding overhead: • Drive collaboration with the Rosso Engineering Manager: Partner closely to align priorities between ML and software engineering. The two teams need to work together effectively, and you are a key part of making that happen. • Drive collaboration with the Rosso Engineering Manager:
Benefits
• Base Salary £105K – £120K • Offers Equity • We review salaries twice a year using real-time market data, with transparent, consistent pay for the same role and level. • Stock Options - everyone on the team has ownership in our mission. • Stock Options • 25 days holiday + public holidays - Swap public holidays for ones that matter most to you. Plus, get an extra day off for your birthday 🎉. • 25 days holiday + public holidays • Remote & flexible working - We're fully remote, distributed across Europe with clear core hours, and no internal meetings on Friday afternoons. • Remote & flexible working • Up to £1,200 / €1,200 annually to upgrade your remote setup (co-working passes, equipment, etc.). • £1,200 / €1,200 annually • Up to £150 / €150 monthly on anything that supports your wellbeing - from therapy to gym memberships to meditation apps. • £150 / €150 monthly • 🗣️ Interview Process: • Our processes normally take around 2-3 weeks from first call to offer - please let us know about any adjustments to timelines that may be required. • First call with our Talent Team (30 mins). This is to understand your experience, motivations, and discuss the role in more detail. • First call with our Talent Team (30 mins). • Behaviour Interview with our Head of Data (45 mins). This is your chance to really understand the role, the expectations, and ensure alignment on ways of working. • Behaviour Interview with our Head of Data (45 mins). • Skills Interview with the Team (75 mins). You'll meet with potential peers in this session and will discuss how you lead and manage high performing teams, and discuss a range of scenarios. • Skills Interview with the Team (75 mins). • Culture-Add Interview with Stakeholders (45 mins). The final session will be with two cross-functional stakeholders, and will explore how your values align with ours, and is designed to be a genuine two-way conversation, your chance to understand what it's really like to work at tem. • Culture-Add Interview with Stakeholders (45 mins). • We welcome applications from people of all backgrounds, experiences, and identities, including those that are traditionally underrepresented in the tech and energy sectors. If you’re excited about this role but not sure you meet every requirement, we’d still love to hear from you. Your unique perspective could be exactly what we’re looking for.
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