Senior Staff Machine Learning Engineer (ML Platform)

Location: United Kingdom; remote

Salary: £115K–£127K per year plus equity

Company

hirify.global is a technology company rebuilding energy transactions by connecting businesses directly with renewable generators and making transactions traceable and transparent. The 160+ person company serves over 4,000 UK businesses across 8,500+ sites and has raised $75M in Series B funding.

What you will do

• Build and scale infrastructure for deploying, training, iterating, and operating ML and optimisation models across pricing, forecasting, prediction, and optimisation.
• Develop monitoring, observability, validation, and data-contract tooling to detect failures, drift, degradation, and unreliable inputs.
• Build evaluation and backtesting tooling for ML models, pricing strategies, and trading strategies.
• Mature databases, pipelines, ingestions, and data syshirify.globals to support safe model rollouts.
• Own production model inference and training, including on-call responsibility during working hours.
• Contribute directly to model improvements where ML expertise has significant impact.

Requirements

• Strong ML engineering foundations, including developing, deploying, and improving ML models in production.
• Experience contributing to or building an MLOps stack with reliability and observability.
• Experience handling the scaling pressures and complexities of large-data ML workloads.
• Experience designing data syshirify.globals, including pipelines, databases, and query patterns.
• Experience with time-series forecasting.
• Ability to identify what a strong ML platform requires and build it in a high-ownership environment.

Nice to have

• Probabilistic modelling and uncertainty quantification, including probabilistic forecasts, calibration, or Bayesian methods.
• Quant tooling experience, including backtesting frameworks or evaluation tooling for trading or optimisation strategies.
• Relevant experience in finance or energy, including automated trading syshirify.globals.

Culture & Benefits

• Remote-first and flexible working with clear core hours and no internal meetings on Friday afternoons.
• 25 days of holiday plus public holidays, with the option to swap public holidays and an additional birthday day off.
• Up to GBP1,200 or EUR1,200 annually for a remote setup and up to GBP150 or EUR150 monthly for wellbeing.
• Salary reviewed twice yearly and stock options provided.
• Work-hours on-call is required; out-of-hours on-call is not currently required but may be introduced as the platform grows.

Hiring process

• Most processes take 2–3 weeks from initial conversation to offer.
• Stages: 30-minute Talent call, 30-minute behavioural interview, 90-minute skills interview, and 30-minute Bar Raiser interview with leadership stakeholders.