Senior Staff Machine Learning Engineer – ML Platform

🔥 31 minutes ago

🇬🇧 United Kingdom – Remote

💵 £115k - £127k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

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

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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

• Build systems that deploy, iterate and scale ML and optimisation models • Improve ML platform infrastructure, tooling and standards • Provide operational visibility into model performance • Build evaluation and backtesting tooling for ML models, pricing and trading strategies • Own model inference and training in production • Participate in work-hours on-call responsibility, with possible out-of-hours on-call in the future • Shape infrastructure for ML deployment across pricing, forecasting, prediction and optimisation • Design repeatable systems to move models from experiment to production • Scale models and pipelines as volume, markets and complexity grow • Build reliability, operational monitoring and analytical monitoring for models • Detect failures, drift and degradation early • Validate input data and establish clear data contracts • Mature databases, pipelines, validations and ingestions for safe model rollouts • Contribute directly to model improvements where ML expertise has impact

🎯 Requirements

• Strong ML engineering foundations: experience developing, deploying and improving ML models in production • Experience contributing to or building an MLOps stack, including ensuring reliability and observability • Experience with scaling pressures and complexities of large-data ML workloads • Experience designing data systems, including pipelines, databases and query patterns • Experience with time-series forecasting • Knowledge of what good looks like in an ML platform • Probabilistic modelling and quantifying uncertainty, such as probabilistic forecasts, calibration or Bayesian methods (bonus) • Quant tooling experience, such as building backtesting frameworks or evaluation tooling for trading or optimisation strategies (bonus) • Experience in finance or energy, including automated trading systems (bonus) • Fluent English speaking, reading and writing required • Ability to work from the stated country of residence with appropriate work authorization or sponsorship

🏖️ Benefits

• Stock options so everyone has ownership in our mission • 25 days holiday plus public holidays • Ability to swap public holidays for preferred alternatives • Birthday off • Remote first and flexible working • Clear core hours • No internal meetings on Friday afternoons • Up to GBP1,200 or EUR1,200 per year for remote setup • Up to GBP150 or EUR150 per month for wellbeing

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