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

Nominate & Attend

Software Manager

Manchester
2 weeks ago
Create job alert

Software Engineering Manager – Lead a Talented Tech Team | Hybrid – Manchester

Are you ready to take the reins of a high-performing engineering team at a fast-growing, forward-thinking company?

We're looking for a hands-off, people-focused Software Engineering Leader to inspire and guide a team of brilliant, multi-skilled engineers. You'll be at the heart of driving innovation, building robust, scalable digital consumer products that impact thousands—if not millions—of users.

This isn’t your typical management role. We're seeking a true technical leader someone with the experience, empathy, and strategic vision to grow a top-tier engineering function. You’ll work alongside highly skilled senior engineers and help shape a tech culture built on trust, autonomy, and continuous improvement. We don’t expect you to code, but you’ll be managing engineers who build with cutting-edge tech to solve complex challenges. Think scalable systems, slick user experiences, modern DevOps practices, and cloud infrastructure that can handle millions of requests.

Skills Required-

Leadership & Influence – You know how to bring out the best in engineers. You’ve led high-performing teams, built trust quickly, and created environments where engineers thrive.

Technical Background – You’ve walked the path of a software or data engineer. You can speak the language of modern architecture, OOP, TDD, CI/CD, and cloud-native development (AWS ideally).

Engineering Best Practices – You drive clean code, robust testing, and elegant automation. Agile, DevOps, and product-driven development are second nature to you.

The company -

Values are simple but powerful:

Zero politics – Just kind, smart people working together.
Down-to-earth – No egos here. We work hard and support one another.
High standards – We’re proud of what we build and how we build it.
Flexibility & Fairness – Work where and how you do your best. We trust you.
Hybrid Working – Manchester Based- 2 days per week

Related Jobs

View all jobs

Data Engineer Contractor

Data Engineer

Data Quality Manager

Product Manager - fully remote

Sales Operations Manager

Risk Manager

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.

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.