Senior Software Engineer

WRK digital
Leeds
1 year ago
Applications closed

Related Jobs

View all jobs

Senior MLOPs Engineer

Senior Simulation Engineer (Data Science)

Lead Software Engineer (Machine Learning)

Senior Machine Learning Engineer (Platform) - Bristol

Senior Machine Learning Engineer (Platform) - Exeter

Senior Machine Learning Engineer, Gen AI

Senior Software Engineer (Python, AWS)

Location:Leeds, UK (3 days in-office, 2 remote)

Sector:Climate Resilience, Climate Data & Net Zero Technology

Salary: £75,000 + Bonus + Benefits


Are you passionate about creating software that drives impactful change? WRK digital are excited to be partnered with a company at the forefront of regional net-zero acceleration and climate resilience.


We are shortlisting for a Senior Software Engineer to help shape and lead the development of cloud based data, software and analytics products that combine GIS analysis, advanced simulation, and AI to empower users with critical insights for climate adaptation.


About The Team

The team is dedicated to using advanced data science and simulations to support climate resilience through place-based decision intelligence. Headquartered in Leeds the team are a collaborative group of software engineers and data scientists with a mission to provide tools that make intelligent data-driven, map-based decision-making a reality.


What You’ll Do:

Lead and Innovate: Architect and implement advanced features that process and visualise complex data, providing deep insights for our users. You’ll take ownership of critical tech stack areas and collaborate on solving challenging problems.

User-Centric Development: Work directly with users to understand their needs, translating requirements into impactful solutions on our platform. Your contributions will help guide the evolution of our products.

Project Contribution:Play a significant role in major projects, ensuring high quality, timely delivery, and alignment with user requirements. Collaborate with users to understand their needs and guide the evolution of our applications.

Drive Technological Advancements: Champion innovation by exploring emerging technologies, proposing new solutions, and continuously improving our platform to keep it on the cutting edge.


What We’re Looking For:

Proven Software Delivery: You’ve successfully developed custom software applications by closely collaborating with users to understand and meet their needs.

Technical Skills: Strong hands on experience with modern best practice. Including microservices, modern frontend frameworks, and cloud services. Python expertise is essential, and experience with technologies like Neo4J, AWS, Vue, and MapLibre is a bonus.

Innovation Mindset: You’re driven to push boundaries, improve continuously, and contribute to a culture of technical excellence.

Mentorship & Communication: An effective communicator with experience mentoring team members, capable of making technical concepts accessible to a range of audiences.


Nice to have extras:

  • Experience with data science and simulation technologies
  • Knowledge of software architecture patterns and practices


Why Join The Team?

Competitive Compensation: Attractive salary and performance-based bonuses. The salary for the senior role is £75,000pa based on experience.

Purpose-Driven Work: Contribute to projects that address urgent climate resilience challenges, creating a real-world impact.

Flexible Work Environment: Blend of in-office and remote work for a balanced lifestyle. The team are currently spending 3 days a week from the Leeds HQ close to Leeds University.

Comprehensive Benefits: Healthcare plan, professional development opportunities, and access to the latest tech and tools.


The Next Steps

If you’re ready to bring your skills to a company that values innovation, collaboration, and sustainability, we’d love to hear from you! Please apply now or contact James Westwood at WRK digital for immediate consideration.

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 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.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.