Software Engineer

Bright Purple
Leeds
1 year ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer (Forward Deployed)

Senior Machine Learning Engineer

Senior Technology Specialist - AI

Senior RF Data Scientist / Research Engineer

Machine Learning Engineer

Data Scientist

Software Engineer - UK Remote


Work in the Data Analytics team of a leading Healthcare SAAS company developing ML based applications on the Cloud, with Kubernetes and Python.


This leading, remote-first healthcare data science/bio-informatics client have put everything in place to ensure their culture and environment at the very least matches, and in many areas exceeds, their competitors. Innovation isn’t just about technology and product, it’s about listening to your staff and being attentive to their physical, mental and intellectual needs.


What is in it for you:

  • They have successfully implemented a condensed, 9-in-10 working fortnight, with every Friday given off without any reduction in earnings. This has been hugely successful for the company, with many enjoying the extra day off with family, to explore personal projects, or simply unwind in their own space. This is a huge perk that cannot be understated.
  • Fully remote work within the UK - they don’t have any offices – so they’ll never renege on this
  • £500 per annum personal training budget for every staff member regardless of position, seniority, or team
  • Private healthcare for you and your family (mental health, physical health, gym, spa, etc.)
  • Generous Pension; free flu vaccines; enhanced maternity & paternity pay
  • Competitive salary


The company:

  • No wonder they have one of the best Glassdoor profiles going, can demonstrate extraordinary staff retention and longevity, and are responsible for one of Europe’s most innovative data science healthcare platforms.
  • Their Azure-hosted machine learning platform fosters R+D and collaboration between people from all areas of healthcare, across the globe. It underpins ground-breaking research into disease prevention, with a particular track record in supporting such research around Cancer, Covid, and Alzheimer’s.


The role:

  • As a Software Engineer, you’ll get to join a small, focused delivery team working on data workflow and processing technologies
  • You'll be key in determining architectural and design decisions, supporting junior team members, writing fantastic code, ensuring it's all fully tested, and collaborating with the DevOps and platform teams to ensure it's all released correctly via their advanced CI/CD infrastructure.
  • If you have experience in developing sophisticated, modern, cloud-based software, and are potentially considering making a step up into a senior level, this software engineering role is perfectly set up to provide you with that career progression.


To be considered you will have experience in:

  • Python- this team works predominantly in Python
  • Experience in Data Engineer or Machine Learning
  • Azure and Azure DevOps
  • Kubernetes
  • Linux/Unix
  • Ruby- preference for those with knowledge of Ruby


Their process is well-regarded and provides a two-way street to learn about each other and fully determine the right "fit":

  • Their Head of HR will speak with you initially about culture, environment and values
  • You will then have a fun and engaging take-home intended to take up little time but offer an interesting challenge
  • This will then be discussed in a technical interview
  • Finally, you will meet with Senior Leadership for a "welcome to the team" type chat


With excellent career opportunities that can be mapped out, to the salary and benefits on offer this really is a great role that will challenge you but also give you an opportunity to showcase your skills and what your can offer.


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

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.

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.