Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Head of Engineering

Signify Technology
Manchester
10 months ago
Applications closed

Related Jobs

View all jobs

Head of Forward-Deployed Engineering & Data Science

Staff Data Scientist

Staff Data Scientist

Head of Data Science Technology (Product, Engineering, Design) · London ·

Head of Data Science

Head of Machine Learning and AI

Head of Engineering

Circa 140K Euros + 10k Bonus + Shares

Remote Flex with Office locations in the EU (Preferably UK, Germany or Spain)


About Us:

We are currently working with a reputable award-winning organisation within the SaaS space. You will work closely with our CTO, CPO, Head of Product, and other key stakeholders to execute our bold product roadmap. Your role will include supporting efforts to attract and retain top talent while promoting a culture of collaboration and high performance. Additionally, you will play a key role in driving innovation within our product team, leading projects in areas such as big data, remote sensing, and machine learning.


Responsibilities:

  • You show vast experience in developing software in large-scale production systems, ideally using Scala, Java or Golang
  • You have a great foundation in microservice principles, event sourcing, cloud-native infrastructure, and clean code best practices
  • Knowledge of Kafka is a plus
  • Experience in setting up and managing CI/CD pipelines


Skills:

  • 8+ years of experience as an engineer in a production environment.
  • 1-2+ years in a senior engineering leadership role such as Head of Engineering, Engineering Director, VP of Engineering or similar.
  • Hands-on experience managing teams globally
  • Strong record of developing deep-tech strategies, and supporting the development of product roadmaps.
  • Strong experience in product-driven companies collaborating closely with product managers, UI designers and senior product representatives.
  • Experience managing teams of 10+
  • Passionate about sustainability and making a positive impact on the environment and enthusiasm for doing something positive
  • Fluent English


Interviews are happening this week, Apply below!

Get in touch! –

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.

Jobs

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

Jobs

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

🍪 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.