tem - Senior Staff Machine Learning Engineer

• 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. • 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: you choose between stochastic programming, classical ML, reinforcement learning, or a simple heuristic based on the problem, not the technique you know best. • The engineering craft to match your modelling depth: 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. • Senior technical leadership in ML: a track record of setting direction for a significant technical area, influencing cross-functional teams, and translating complex model decisions into clear terms for commercial, product, and engineering stakeholders so they are understood and acted on. • Experience with reinforcement learning or causal inference in applied, commercial settings. • Familiarity with energy markets, power trading, or portfolio management. • 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. • 🗣️ 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. • Behaviour Interview with our Head of Data (60 mins). This is your chance to really understand the role, the expectations, and ensure alignment on ways of working. • Technical Interview with the Team (90 mins). You'll meet with potential peers in this session and work through a live technical exercise. • 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.