Senior Staff Machine Learning Engineer, tem

• Deep ML expertise: extensive professional experience in data science or ML engineering, with a proven record of taking complex models into production
• End-to-end ownership: Hands-on experience designing, building, and operating large-scale cloud-based ML systems
• Technical leadership: Ability to set strategy, provide mentorship, and establish best practices without direct people management responsibility
• First principles thinker: Comfortable reasoning from the ground up in greenfield spaces with limited precedent
• Collaborative communicator: Skilled at breaking down complex concepts for both technical and non-technical stakeholders
• Product impact mindset: Proven ability to translate business needs into technical solutions that deliver measurable outcomes

Desirable

• We’re looking for a Senior Staff Machine Learning Engineer to become the technical owner of Rosso, our proprietary pricing engine and core IP
• Rosso is designed to solve hard, unproven problems in optimisation and risk measurement: how do we price and fulfil energy tenders across thousands of assets, in real time, while balancing portfolio risk and unlocking access to renewables at scale?
• This is a greenfield problem space - you’ll have the opportunity to build from first principles, shaping strategy, architecture, and modelling approach
• You’ll lead the research and development of new optimisation and ML capabilities, bring state-of-the-art methods into production, and establish Rosso as the engine that powers transparent, low-cost, renewable energy markets
• Own the Rosso engine: Take full technical ownership of our core pricing IP, setting the research and development strategy and ensuring continuous improvement
• Build with impact: Design, implement, and deploy machine learning and optimisation models that power real-time pricing decisions at scale
• Advance the science: Lead experimentation on new modelling approaches, optimisation techniques, and risk measurement frameworks to move Rosso forwards
• Mentor and elevate: Provide technical mentorship to ML engineers and data scientists, raising the bar for research practices, code quality, and delivery
• Shape the roadmap: Translate business needs into a clear technical roadmap for Rosso, defining success metrics and ensuring alignment with company objectives
• Collaborate widely: Partner with product managers, engineers, and commercial teams to bring Rosso’s capabilities to life in market-facing products
• Stay ahead: Consistently evaluate and integrate the latest advances in academia and industry to keep Rosso at the cutting edge

• Our processes normally take around 3-4 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 min). This is to understand your experience, motivations, and discuss the role in more detail
• Behaviour Interview with our Head of Data (45 min). This is your chance to really understand the role, the expectations, and ensure alignment on ways of working
• Technical Interviews with the Team (2x 45 mins). You’ll meet members of the team, and one of our Co-Founders, to dig into your technical skills around modelling and machine learning engineering
• Culture-Add Interview with Stakeholders (45 min). The final session will be with our CEO and CTO, 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