Principal Machine Learning Engineer – Revenue Optimisation

About This Opportunity

We are representing a confidential energy technology client who is building AI-driven transaction infrastructure for electricity markets. They have recently secured significant Series B funding and are expanding their core machine learning capabilities. We're seeking a Principal Machine Learning Engineer to own the technical direction of their revenue optimization platform.

This is a senior individual contributor role with real technical authority. You will define the mathematical approach to dynamic pricing, build production models, and set the roadmap for a pricing engine that processes billions of data points daily. This system sits on the critical path for business transactions and combines forecasting, optimization, and classical ML to drive automated decisions at scale.

Responsibilities

• Own the technical direction for pricing ML systems, defining what to build and how to build it while being accountable for performance outcomes
• Formulate and solve complex pricing problems using the right mathematical approach—whether stochastic programming, reinforcement learning, classical ML, or hybrid methods—based on problem requirements rather than familiarity
• Build and ship models end-to-end, writing production-grade Python and architecting models with deployment in mind without being blocked by engineering dependencies
• Develop probabilistic models to optimize risk management and short-term balancing decisions in highly dynamic environments
• Serve as the voice of pricing ML across commercial, product, and engineering teams, translating complex model behavior into clear, actionable insights
• Create a dynamic, real-time system that simultaneously optimizes for conversion probability, portfolio balance, and margin protection

What We're Looking For

Must-Have Qualifications:

• Deep experience building ML systems for pricing, revenue optimization, or real-time decision-making at companies where pricing is the core product, with a track record of production models that moved commercial metrics
• Strong foundation in stochastic optimization and probabilistic modeling, with the judgment to formulate ambiguous business problems mathematically before selecting tools
• First-principles reasoning across methods, choosing between stochastic programming, reinforcement learning, classical ML, or simple heuristics based on problem demands
• Engineering depth to match modeling skills: production-grade Python, high code quality standards, and ability to carry models from formulation to deployment independently
• Senior technical leadership experience setting direction for significant technical areas, influencing cross-functional teams, and translating complex model behavior for non-technical stakeholders

Valued Additional Experience:

• Real-time pricing at scale in ride-hailing, food delivery, logistics, or similar environments where latency and portfolio effects matter
• Energy markets, power trading, or portfolio risk management
• PhD or equivalent research depth in statistics, applied mathematics, operations research, or related quantitative disciplines
• Trade-off reasoning between optimization solvers and gradient-based methods, knowing when to apply each
• Causal inference or reinforcement learning in applied commercial settings

Location & Work Arrangement: United Kingdom, fully remote with distributed team across Europe, clear core hours, no internal meetings Friday afternoons

How We Work With You

When you apply through Get A Job.ai, our talent team will review your background and conduct an initial screening to understand your experience and motivations. If there's a strong match, we'll submit your profile to our client for consideration.

The client's interview process typically takes 2-3 weeks and includes: a behavioral interview with the hiring manager, a 90-minute technical session with the team, and a culture-fit conversation with cross-functional stakeholders. Throughout this process, our recruiters will support you and provide guidance.

Please apply only through Get A Job.ai. Do not attempt to contact the client directly, as this may disqualify your application.

Pay

Pay via Get A Job.ai: £150,000 base salary plus equity

Additional benefits through the client include 25 days holiday plus public holidays (with flexibility to swap), birthday day off, home working budget up to £1,200 annually, and wellbeing budget up to £150 monthly.

Equal Opportunity: Get A Job.ai is committed to inclusive recruiting practices. We welcome applications from candidates of all backgrounds and encourage you to apply even if you don't meet every listed requirement.