Senior Software Engineer (Python)

Lead the design, development, testing, and delivery of scientific and engineering software.

Work with engineers and analysts to turn technical methods and business needs into clear requirements and dependable software.

Make pragmatic architectural decisions that balance current delivery with long-term maintainability.

Establish and embed practical standards for development, testing, documentation, version control, code review, continuous integration, and releases.

Ensure scientific calculations and results are appropriately reproducible, traceable, and verified.

Document the software, share knowledge, and provide a structured handover to its long-term owner.

Contribute to other scientific and engineering software projects where required.

What we are looking for

Professional software development experience, typically four or more years, with evidence of leading the delivery of non-trivial software.

Advanced Python skills and strong judgement in software architecture, modularity, error handling, and the design of clear, maintainable Python interfaces.

designing, building, testing, packaging, and releasing reusable Python libraries or applications.

establishing effective engineering practices, including automated testing, code review, documentation, dependency management, continuous integration, and version control with Git.

with numerical, scientific, engineering, or data-intensive software, including appropriate verification of calculations and edge cases.

The ability to understand an unfamiliar method, identify ambiguity, and work with subject-matter experts to define precise, testable behaviour.

Working knowledge of SQL, including writing queries to retrieve, filter, join, and aggregate data.

A pragmatic approach to technical leadership, with the ability to set direction and raise standards while continuing to deliver working software.

Strong written and verbal communication, including experience documenting technical decisions, sharing knowledge, and handing over software to other engineers.

The ability to become productive quickly, work with a high degree of independence, and deliver effectively within a time-limited engagement.

A degree or equivalent experience in computer science, engineering, mathematics, physics, or another quantitative discipline.

with scientific and data tools such as NumPy, SciPy, pandas or Polars, Pydantic, Plotly, or equivalent technologies.

with time-series or sensor data, data validation, numerical optimisation, simulation, statistics, or uncertainty analysis.

Familiarity with typed Python, developer and user documentation, linting and formatting tools, and modern Python project tooling.

verifying scientific software against analytical, experimental, or independently produced reference results.

taking ownership of an early-stage codebase and preparing it for continued development by another engineer or team.

working in an engineering-led or renewable-energy business.

handling commercially sensitive or customer-supplied technical data.

We do not expect one person to arrive with every desirable skill.

If the core role appeals to you and your experience is transferable, we encourage you to apply.

Anemoi?

Apply software engineering to a tangible technology that can reduce fuel use and emissions from global shipping.

Take ownership of an important scientific-software project and make a visible impact within a defined engagement.

Establish an engineering foundation that will continue to benefit the team after your handover.

Work on technically interesting problems with engineers, analysts, and maritime specialists.