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

Nominate & Attend

Head of Engineering

Huddersfield
1 week ago
Create job alert

Head of Engineering – West Yorkshire (hybrid) c£90,000-£100,000 - AI SaaS

Ready to step into a defining leadership role and shape the future of much-admired software-as-a-service placing AI at its core?
We’re looking for a Head of Engineering / CTIO to join a fast-scaling, mission-led technology business in West Yorkshire. If you’re an experienced Head of Engineering, Software Engineering Manager, Software Development Manager, or emerging CTO, this is your opportunity to level up and lead.

What You’ll Be Doing

Own and drive the technology strategy, aligning closely with product and company vision.
Lead and inspire a cross-functional software engineering team (including PMs and QA), driving quality, velocity, and innovation.
Oversee the technical architecture: C#, .NET, React, Azure, SQL, MongoDB, automation, and AI-driven QA
Guide the deployment and integration of AI/ML tools and Large Language Models to enhance platform intelligence.
Embed modern QA processes, including automation and AI for testing.
Be a visible and confident leader – influencing stakeholders, setting direction, and building culture in a scale-up environment.Your Tech DNA

Background in Microsoft stack – C#, .NET Core, Azure, React, SQL/Mongo (candidates with AWS experience rather than Azure will also be considered)
Experience with AI/ML, LLMs, and data science in production environments.
Familiar with elastic delivery
Familiar with QA processes and test automation strategy.
Still understands the codebase deeply – but doesn’t need to be hands-on daily.Mindset and Experience

Comfortable working in a start-up / scale-up
You're strategic, but grounded – equally comfortable in a boardroom or a technical deep-dive.
Capable of leading an Engineering team comprising Software Engineers, QAs, PM and Data Analysts.
You’re ready to step up: maybe you're a Technical Lead who’s outgrown your current role.
You lead with confidence and clarity – innovative, ambitious, and looking to make a mark.Bonus Points For:

Experience working in regulated, data-sensitive environments.
Previous experience managing remote or hybrid engineering teams.Location & Working Style:

West Yorkshire / Hybrid (2–3 days a week in the office), with flexibility. 
Search words: Head of Engineering, Software Engineering Manager, Software Development Manager, CTO, CTIO, Principal Software Engineer, SaaS, AI, LLM

Related Jobs

View all jobs

Technical Specialist (CFD and Data Science)

Senior Data Engineer - DV Cleared

Head of Data Engineering & Governance

Head of Data Engineering & Governance

Head of Data Engineering & Analytics

Head of Data Engineering & Governance

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 Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

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

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.