At a Glance
- Tasks: Lead a team of ML engineers to revolutionise energy transactions with AI.
- Company: Join a pioneering energy tech company focused on transparency and fairness.
- Benefits: Competitive salary, stock options, flexible remote work, and wellness budgets.
- Other info: Dynamic startup environment with opportunities for personal and professional growth.
- Why this job: Make a real impact in the energy sector while driving innovation and sustainability.
- Qualifications: Proven experience in ML management and a passion for team development.
The predicted salary is between 80000 - 100000 £ per year.
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.
Head of ML Engineering — Energy AI Platform employer: Tem-Energy
At tem, we are not just transforming the energy market; we are committed to fostering a vibrant and inclusive work culture that empowers our employees to thrive. With competitive salaries, stock options, and generous wellbeing budgets, we prioritise your growth and work-life balance while offering the opportunity to lead a high-performing team in a fully remote environment across Europe. Join us in our mission to create a transparent and fair energy system, where your contributions directly impact the future of electricity markets worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Head of ML Engineering — Energy AI Platform
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the energy and AI sectors. Attend meetups, webinars, or industry conferences. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your ML projects, especially those related to energy. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s mission and values. At tem, they’re all about transparency and fairness in energy transactions. Tailor your responses to show how your experience aligns with their goals.
✨Tip Number 4
Don’t just apply anywhere; apply through our website! It shows you’re genuinely interested in being part of the tem team. Plus, it helps us keep track of your application better, making it easier for us to connect with you.
We think you need these skills to ace Head of ML Engineering — Energy AI Platform
Some tips for your application 🫡
Show Your Passion for Energy and AI:When writing your application, let us see your enthusiasm for transforming the energy market with AI. Share any relevant experiences or projects that highlight your commitment to making electricity more accessible and fair.
Be Clear About Your Leadership Style:We want to know how you lead teams and drive performance. In your application, describe your management approach and how you've successfully developed talent in previous roles. Specific examples will help us understand your style!
Highlight Your Technical Expertise:Since this role is all about ML engineering, make sure to showcase your technical skills and experience. Talk about your familiarity with forecasting, optimisation, and classical ML, and how you've applied these in real-world scenarios.
Tailor Your Application to Us:Don’t just send a generic application! Take the time to tailor your CV and cover letter to our mission and values. Show us why you're a great fit for tem and how you can contribute to our goal of revolutionising the energy market.
How to prepare for a job interview at Tem-Energy
✨Know Your Stuff
Make sure you have a solid understanding of machine learning concepts, especially in forecasting, optimisation, and pricing. Brush up on your technical knowledge so you can speak confidently about how these areas apply to the role and the company's mission.
✨Show Your Leadership Skills
Prepare examples that showcase your management experience and how you've developed high-performing teams. Be ready to discuss your approach to performance management and how you've successfully navigated underperformance in the past.
✨Align with Their Vision
Familiarise yourself with the company's goals around transparency and fairness in energy transactions. Be prepared to discuss how your vision for the ML function aligns with their mission and how you can contribute to their strategic direction.
✨Ask Insightful Questions
During the interview, ask questions that demonstrate your understanding of the intersection between ML and software engineering. This shows you're not just interested in the role but also in how to foster collaboration between teams effectively.
