Python Software Engineer

Uniting Ambition
Leicester, Leicestershire
14 months ago
Applications closed

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Job Title: Backend Software Engineer (Python | Energy Sector)
Location: Remote
Type: Full-Time
Industry: Renewable Energy / CleanTech

About the Role
We are seeking a Backend Software Engineer with a strong foundation in Python and a passion for the energy sector to join a fast-growing and mission-driven consultancy. This role offers the opportunity to contribute to cutting-edge tools and platforms that optimize renewable energy assets and drive the clean energy transition.

While Python is the primary development language, experience or interest in C# is considered a plus. This is a back-end focused position, but there is a data component, so familiarity with data science or data processing pipelines will be beneficial.

Key Responsibilities

Develop and maintain scalable, efficient backend systems and APIs for internal and client-facing platforms.

Collaborate with data scientists and energy specialists to integrate machine learning models and data processing pipelines into production software.

Contribute to tools that support renewable energy optimization, including grid analytics, tariff comparison, and wind farm design automation.

Work on internal tooling and client projects focused on improving energy system efficiency and transparency.

Participate in architecture decisions, code reviews, and continuous improvement of engineering practices.

Required Skills & Experience

Strong programming experience in Python (3+ years preferred).

Solid understanding of backend architecture, including API development and database design.

Experience working in or with the energy sector - particularly renewables, grid systems, or electricity markets.

Exposure to data processing and analysis workflows, preferably in a scientific or energy domain.

Ability to work collaboratively with cross-functional teams, including domain experts and data scientists.

Nice to Have

Experience with or willingness to learn C#.

Familiarity with cloud platforms (e.g., AWS, GCP) and DevOps workflows.

Background in optimization algorithms or energy modeling.

Understanding of renewable energy technologies (e.g., wind, solar, storage) and market mechanisms.

Why Join?
You'll be part of a mission-oriented team with deep expertise in remewable energy, data science and software engineering. This is a chance to work at the intersection of technology, policy, and sustainability, shaping tools that make renewable energy more accessible, efficient, and cost-effective

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If you have been watching AI job boards over the past year, one title keeps surfacing again and again: the forward deployed engineer, or FDE. It has gone from a niche term known mainly to Palantir alumni to arguably the hottest role in the entire AI hiring market. Job postings for forward deployed engineers have exploded, salaries have climbed past levels most software engineers will ever see, and the biggest names in AI — OpenAI, Anthropic, Google, Salesforce, Databricks and Palantir — are all competing for the same small pool of talent. So what exactly is an AI forward deployed engineer, why has demand surged so dramatically, and how do you position yourself to land one of these roles? This guide breaks it all down for AI engineers, software engineers and data scientists looking at their next move.