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

Nominate & Attend

Software Manager

Manchester
1 week 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

Software Implementation Manager

Delivery Manager - Software Development Focus

Head of Engineering

Sales Operations Manager

Commercial Manager - Exhibitions

Finance 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.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.

Part-Time Study Routes That Lead to Data Science Jobs: Evening Courses, Bootcamps & Online Masters

Data science sits at the intersection of statistics, programming and domain expertise—unearthing insights that drive business decisions, product innovation and research breakthroughs. In the UK, organisations from fintech and healthcare to retail and public sector are investing heavily in data-driven strategies, fuelling unprecedented demand for data scientists, machine learning engineers and analytics consultants. According to recent projections, data science roles will grow by over 40% in the next five years, offering lucrative salaries and varied career paths. Yet many professionals hesitate to leave their current jobs or pause personal commitments for full-time study. The good news? A vibrant ecosystem of part-time learning routes—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn data science while working. This comprehensive guide explores every pathway: foundational CPD units and short courses, hands-on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re an analyst looking to formalise your skills, a software developer pivoting into data or a manager seeking to harness data-driven decision-making, you’ll find the right route to fit your schedule, budget and career goals.

The Ultimate Assessment-Centre Survival Guide for Data Science Jobs in the UK

Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.