National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Geospatial Data Engineer

Bristol
2 months ago
Applications closed

Related Jobs

View all jobs

Principal Data Engineer

Principal Data Engineer

Principal Data Engineer

Principal Data Engineer

Principal Data Engineer

Principal Data Engineer

Geospatial Data Engineer - Contract 

Hybrid - Bath (1 day a week on-site)

£400-£450 per day

Deemed Outside IR35 (pending QDOS assessment) 

This Contract Geospatial Data role is a fantastic opportunity to work on cutting edge data problems at a leading environmental risk consultancy. The position has arisen due to the success and growth of Bright Purple's impressive established client. They are a leading player in their field with a powerful and highly regarded platform built using the latest technologies.

You will be working in a team of software and data engineers supporting data workflow & orchestration, within an AWS environment and must have experience of RASTER data sets.

In this role, you will be:

Developing robust pipelines to process big data sets (Raster experience essential)

Configuring CI/CD pipelines

Managing data storage within an AWS environment

Improving data automation, workflow and efficiency

Developing Python based ML pipelines

Key skills for this role include:

Good knowledge of Python programming 

Experience in cloud computing (ideally AWS)

Experience with RASTER 

Strong experience across industries in both Geospatial and non-Geospatial domains

Experience with Machine Learning (sci-kit learn, tensorflow, metaflow, MLOps)

Preferred Experience:

Knowledge of Rust

Experience with frameworks like Metaflow, Prefect, etc.

Experience with geospatial libraries i.e. Raster, Geo-pandas, Vector databases 

This role would see you work in their South West office c.1 - 2 days per week ideally. It is available immediately for an urgent start.

Bright Purple is an equal opportunities employer: we are proud to work with clients who share our values of diversity and inclusion in our industry

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.