Senior Staff Machine Learning Engineer – Pricing

About This Opportunity

We are representing a confidential energy technology organization that is transforming how electricity is priced and traded through AI-driven infrastructure. Our client has experienced extraordinary growth and recently secured significant Series B funding to fuel global expansion and category leadership.

This is a senior individual contributor role with substantial technical leadership responsibilities. You will own the pricing machine learning platform that processes billions of data points and drives thousands of automated decisions daily. Every model you build directly shapes commercial outcomes, and you will see the immediate impact of your work.

The position focuses on building state-of-the-art pricing engines that balance growth and margin while managing portfolio exposure. You will work in a greenfield environment where foundational technical decisions have lasting impact.

Responsibilities

• Own the technical direction and strategy for pricing machine learning systems, defining what to build and how as a core piece of organizational IP
• Design and implement models that dynamically optimize prices, balancing signing probability, portfolio balance, and margin maximization
• Develop probabilistic models to optimize risk management and short-term balancing decisions in highly dynamic environments
• Bridge modeling and production by owning the data layer while collaborating closely with software engineers and MLOps teams on system architecture
• Communicate model behavior, assumptions, and trade-offs clearly to technical stakeholders across dependent teams
• Lead the evolution from reactive systems to proactive pricing engines that drive growth by targeting optimal customer segments

What We're Looking For

Must-Have Qualifications:

• Deep experience building ML systems for pricing, revenue optimization, or decision-making under uncertainty, with proven commercial impact from concept to production
• Strong foundation in stochastic optimization and probabilistic modeling, with the judgment to formulate business problems using the right mathematical approach
• First-principles reasoning ability to choose between stochastic programming, classical ML, reinforcement learning, or heuristics based on the problem rather than familiarity
• Production-grade Python skills with high standards for code quality and system design, capable of working as a technical peer with software engineers across the full ML lifecycle
• Track record of senior technical leadership in ML, including setting direction for significant technical areas, influencing cross-functional teams, and translating complex decisions for commercial, product, and engineering stakeholders

Bonus Qualifications:

• 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 statistics, applied mathematics, physics, operations research, or similar quantitative discipline
• Understanding of trade-offs between optimization solvers and gradient-based ML methods with judgment about when to apply each
• Experience with high data throughput systems in production environments

How We Work With You

Candidates apply directly through Get A Job.ai. Our talent team conducts initial screenings to understand your experience and ensure strong alignment with the role requirements. We then facilitate introductions with our client for qualified candidates.

The typical interview process includes behavioral interviews with leadership, technical discussions with the engineering team, and culture-fit conversations with cross-functional stakeholders. The process generally takes 2-3 weeks from first contact to offer.

Please do not attempt to contact the client directly. All communications and submissions are coordinated through Get A Job.ai to ensure a professional and streamlined process.

Pay

Pay via Get A Job.ai: £127,000

This is a remote position based in the United Kingdom with flexible working arrangements. The role includes equity compensation and comprehensive benefits including 25 days holiday plus public holidays, home working budget up to £1,200 annually, and wellbeing budget up to £150 monthly.

Equal Opportunity: Get A Job.ai is committed to fostering an inclusive recruitment process. We welcome applications from candidates of all backgrounds and experiences.