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Algorithm Engineer

Xcede - Stockport, England

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Job Description

Job Description Senior Algorithm Engineer - Python / Distributed Systems / Energy TechRemote - UK (O/IR35), NL, BE, GER 3 - 6 Months initial contactJoin a pioneering technology scale-up driving the digital transformation of the energy industry. Youll help design and evolve distributed software systems that process millions of data points across the UK energy market turning complex datasets into intelligent, scalable software solutions.The Role Youll be a key member of the Algorithms team, collaborating closely with clients, product managers, and domain experts to design and implement software solutions that underpin large-scale pricing, forecasting, and billing systems. This is a hands-on role blending software engineering with system architecture ideal for someone who enjoys building robust, high-performance code and guiding technical direction.What Youll DoDesign, build and optimise Python-based algorithms and distributed components that power energy forecasting and pricing workflows.Contribute to system architecture decisions microservices, APIs, and distributed computing layers.Collaborate directly with stakeholders to translate business and market logic into maintainable, scalable software.Lead by example through clean, efficient coding, mentoring, and peer reviews.Continuously evolve the distributed software stack, improving performance and reliability across platforms.What Youll BringStrong proficiency in Python, including modern data engineering libraries (Pandas, NumPy, Dask, Polars, PySpark).Experience designing or maintaining distributed systems or microservice architectures.Background as a software engineer or data engineer experience in energy markets is a significant advantage (especially UK or European retail).Strong communication and collaboration skills youll work directly with internal teams and clients.Knowledge of SaaS or product environments, and an appetite to work in a rapidly evolving energy tech space.JBRP1_UKTJ

Created: 2025-11-18

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