Algorithm Engineer

Algorithm Engineer focuses on build and improve scalable algorithms for forecasting, pricing, and optimisation across large and complex datasets.

What the role involves

• Build and improve scalable algorithms for forecasting, pricing, and optimisation across large and complex datasets.
• Contribute to design discussions around high-volume data processing, helping ensure reliability, explainability, and production readiness.
• Work closely with Product, Data, and Delivery teams to translate business requirements into practical engineering solutions.
• Improving the robustness, scalability, and performance of models, workflows, and distributed systems.
• Contribute reusable components and help raise engineering quality through code reviews, collaboration, and continuous improvement.
• Learn from senior engineers through pairing, reviews, and knowledge sharing while gradually taking on greater ownership.

Skills and requirements

• Hands-on experience designing, developing, or deploying algorithms or data models across forecasting, pricing, optimisation, or similar analytical problem spaces.
• Solid Python skills and working knowledge of modern data tools such as SQL, Pandas, Polars, DuckDB, NumPy, or SciPy.
• Exposure to Dask, PySpark, distributed systems, or microservices is beneficial but not essential.
• Interest in working with large-scale or high-frequency datasets such as IoT, sensor, weather, utility, or operational data.

Confirmed role details

• Remote IN UK O/IR35.
• NL, BEL & GER B2B.
• Length: 6 Months+.
• Build, and improve core algorithmic and data solutions within a fast-paced SaaS environment working across complex, high-volume datasets.

Candidate fit

• technical judgement, safe working habits, careful diagnostics, and practical problem-solving