Senior Software Engineer

Manchester
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineer - On Device Machine Learning

Senior Software Engineer, Cloud Native & MLOps

Senior Software Engineer, Machine Learning

Senior Data Scientist (Senior Software Engineer), BBC Verify

Senior Full-Stack Engineer - AI & Computer Vision (Hybrid, Manchester)

Computer Vision Engineer - Sports Tracking

Senior Software Engineer

Manchester / Hybrid · Up to £75,000 DOE

Tech: TypeScript | Node.js | Python | Azure

Are you a commercially minded engineer who thrives on building robust backend systems and doesn’t mind getting hands-on with the frontend when needed?

Interested in AI? Thought about working for a startup that's ahead of the curve? Want to grow with a platform over the long term?

You'll be the first official engineering hire, playing a pivotal role in shaping the tech team and direction. This is a unique opportunity to lead from the front, with a clear roadmap toward a future CTO role.

What You’ll Be Doing:

  • Leading backend development using TypeScript JavaScript (Node.js) and Python (for ML components)

  • Supporting frontend improvements and working closely with UI/UX teams

  • Driving innovation while delivering pragmatic, value-led solutions

  • Helping shape the future of the platform from a technical and architectural perspective

  • Working in a cloud-first environment (Azure but open to change such as AWS)

    What They’re Looking For:

  • Strong backend engineering experience (ideally with Node.js and TypeScript)

  • Exposure to Python, particularly in data or machine learning contexts

  • Solid understanding of cloud platforms ideally Azure

  • A proactive, commercially aware mindset

  • Passion for building performant, scalable, and maintainable systems

  • Must be based in the North West

    Why Apply?

  • Play a foundational role in a fast-evolving product

  • Help define the company’s technical roadmap

  • Real opportunity to grow into a future CTO position

  • Hybrid working with minimal office time

  • 1 day in the office a fortnight

    Interested?

    If you're passionate about building platforms that make a real impact and want your ideas to help shape the future get in touch to learn more

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.

Careers

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.

Jobs

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.

Education

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.