Senior Staff Machine Learning Engineer - Pricing
Level inferred from job title
Job description
A hands-on senior individual contributor role leading pricing machine learning within Rosso, tem's AI-native energy transaction infrastructure. The role owns the technical direction of the pricing engine that sets fees on every quote and contributes to imbalance and portfolio exposure systems.
At a glance
- Employment
- Full-time · Employee (employment agreement)
- Work mode
- Remote · Europe
- Languages
- English
- Pay
- GBP 127,000 / year
What you'll do
- Own the technical direction for pricing ML: define what to build and how within the pricing engine, setting the strategy and roadmap for pricing machine learning as a core piece of tem's IP.
- Build ML systems for price optimisation: design and implement models that dynamically set prices, balancing the trade-off between signing probability, portfolio balance and margin maximisation.
- Solve imbalance problems: develop probabilistic models to optimise risk management and short-term balancing decisions in a highly dynamic environment.
- Bridge modelling and production: own the modelling and data layer while working closely with software engineers and MLOps to ensure models are architected for production, contributing to system design decisions that affect performance and reliability.
- Communicate pricing decisions clearly: articulate model behaviour, assumptions, and trade-offs to other technical stakeholders so that pricing decisions are understood across the teams that depend on them.
What we're looking for
- Deep experience building ML systems for pricing, revenue optimisation, or decision-making under uncertainty, with a track record of models that went from concept to production and delivered measurable commercial impact.
- A quantitative background in a domain where prices, forecasts and risk interact: energy markets, power trading, batteries and flexibility, market making, or similar.
- Strong foundation in stochastic optimisation and probabilistic modelling, with the judgement to formulate ambiguous business problems as the right mathematical approach rather than reaching for familiar tools.
- Proven first-principles reasoning: choose between stochastic programming, classical ML, reinforcement learning, or a simple heuristic based on the problem, not the technique you know best.
- Production-grade Python, a high bar for code quality and system design, and the ability to work alongside software engineers as a technical peer across the full ML lifecycle.
- Breadth across the full lifecycle: carry the modelling and quant work and the productionising (deploying, monitoring, reasoning about the software systems around your models), and would rather ship the whole thing to a good standard and iterate than perfect one component.
- Reason at the level of the outcome, the portfolio and its levers, not a single model.
Nice to have
- Experience with reinforcement learning or causal inference in applied, commercial settings.
- PhD or equivalent research depth in a quantitative discipline (statistics, applied mathematics, physics, operations research, or similar).
- Ability to reason about the trade-offs between optimisation solvers (Gurobi etc) and gradient-based ML methods (PyTorch etc), and the judgement to know when to reach for each.
- Experience working with high data throughput systems in production.
Your team
Rosso
tem's core IP, the transaction infrastructure that prices electricity for thousands of businesses, balances portfolios in real time, and sits on the critical path for every deal tem closes.
Benefits
25 days holiday + public holidays. Swap public holidays for ones that matter most to you. Plus, get an extra day off for your birthday.
Home working & wellbeing budgets: Up to £1,200 / €1,200 annually to upgrade your remote setup (co-working passes, equipment, etc.).
- Salary: Competitive. We are looking to pay £127,000 or equivalent in local currency.
- Stock Options: everyone on the team has ownership in our mission.
- Remote working: we're fully remote, distributed across Europe
- Up to £150 / €150 monthly on anything that supports your wellbeing, from therapy to gym memberships to meditation apps.
How to get hired
- 1First call with our Talent Team (30 mins).
- 2Behavioural interview with our Rosso GM, hiring manager for this role (30 mins).
- 3Technical interview with the Team (90 mins).
- 4Bar Raiser interview with Stakeholders (45 mins).
Apply
Direct apply at tem
Opens the job posting at tem
About tem
Rebuilding the energy transaction, making it transparent and fair.
tem has built the first AI native transaction infrastructure to reinvent how electricity is bought, sold and priced, cutting out inefficient fees, automating complex market flows, and bringing transparency and fairness to energy transactions at scale. Its modern utility product, RED, has facilitated thousands of business customers and billions in energy transaction value.
Mission
To put power back where it belongs, in the hands of customers, and to take on access to low cost electricity.
Key facts
- Energy technology
- Closed a $75 million Series B in late 2025 led by Lightspeed Venture Partners with participation from Albion, Atomico, Allianz, Hitachi Ventures, Schroders Capital and others.
- Rosso is tem's core IP, pricing electricity for thousands of businesses and balancing portfolios in real time.
- Fully remote, distributed across Europe.
Partners & customers
What they value
- Transparency
- Fairness
- Efficiency
- Sustainability