Staff Machine Learning Engineer – Pricing

🔥 0 minutes ago

🇬🇧 United Kingdom – Remote

💵 £115k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

👻 Ghost score 9%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

tem

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

⚡ Energy

🛍️ eCommerce

☁️ SaaS

Energy • eCommerce • SaaS

tem is a company that empowers businesses to save on energy costs by directly purchasing from renewable energy generators. With its innovative RED™ product, tem simplifies the energy procurement process, offering transparency and a streamlined portal for managing contracts, quotes, and billing. The company aims to reduce the expense associated with traditional energy suppliers, enabling clients to cut energy costs by up to 25% while supporting the transition to renewable energy. tem's mission is to create accessible renewable energy solutions for all businesses, promoting sustainability and fair pricing within the energy market.

📋 Description

• Own key components of the dynamic pricing system end to end, from design through production operation. • Choose bets most likely to reduce sales adjustment and demonstrate whether they worked. • Make components observable, guarded and replayable so incorrect prices are caught before reaching customers. • Unblock delivery across engineering, platform and commercial teams. • Own components such as models learning from won and lost deals, experimentation and measurement layers, and live pricing guardrails. • Design experiments and holdouts for low-volume, high-value deals where standard A/B testing may not be possible. • Build monitoring, alerting, guardrails and staged releases. • Detect drift, runaway feedback loops and unexpected price movements requiring review. • Make pricing decisions reproducible for debugging and regulators. • Collaborate with the Price Quoting squad and ML Platform to build production-ready models. • Investigate why sales teams adjust prices and turn those reasons into model inputs or new bets. • Explain model behaviour and trade-offs to engineering, product and commercial colleagues. • Redesign recurring pricing workflows with AI, including feedback triage, daily price review and experiment write-ups, deciding which steps remain human. • Report to the ML Leader for Rosso.

🎯 Requirements

• Most of your current role is writing and shipping production code; this is not a people leadership or architecture role where others implement. • Experience owning a live ML system making automated decisions with money attached, such as algorithmic trading, dynamic pricing, marketplaces, ad bidding, credit or betting. • Experience handling production failures including feedback loops, silent drift, bad outputs reaching customers and rollbacks. • Strong probabilistic modelling and decision-making under uncertainty, including pricing, conversion or elasticity modelling and experimentation. • Ability to formulate problems from first principles and select the simplest effective approach. • Experience running ML production services on modern cloud infrastructure, including containerised models behind APIs, event-driven microservices, infrastructure as code and CI/CD on AWS or similar. • Production-grade Python. • Experience designing for observability, testing and replay. • Ability to work as a peer with software engineers. • Track record of moving a commercial metric with product managers and commercial stakeholders. • Uses AI tooling as a day-to-day work multiplier and understands where it fails. • Energy experience is not required. • Bonus: experience in energy, commodities or markets where prices, forecasts and risk interact. • Bonus: contextual bandits, causal inference or Bayesian methods used in production. • Bonus: stochastic optimisation or operations research. • Bonus: PhD in maths, physics, computer science or operations research. • Able to speak, read and write English fluently.

🏖️ Benefits

• Stock Options: everyone on the team has ownership in our mission. • 25 days holiday + public holidays. • Ability to swap public holidays for ones that matter most to you. • Extra day off for your birthday. • Fully remote working, distributed across Europe. • Up to £1,200 / €1,200 annually for remote setup, co-working passes, equipment, etc. • Up to £150 / €150 monthly wellbeing budget for therapy, gym memberships, meditation apps, etc.

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume