Engineering Manager

Hammersmith Broadway
9 months ago
Applications closed

Related Jobs

View all jobs

Engineering Manager, Data & Machine Learning

Engineering Manager - MLOps & Analytics

Software Engineering Manager – Machine Learning

AI-Driven Data Science Engineering Manager, Audit

Data Science Engineering Manager - Audit

Data Science Engineering Manager – Audit (Hybrid)

Global Leader in Customer Data Science – Engineering Manager Opportunity

They are a global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. Their mission is to enable businesses to grow and reimagine themselves by becoming advocates and champions for their customers. With deep expertise in retail – one of the world’s most competitive markets – they empower businesses across industries to be Customer First.

They employ nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas, working with transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble, and Metro.

Position Overview:

They’re looking for an Engineering Manager who expects more from their career. This is a chance to extend and improve their Software Engineering Department and work with a market-leading business to explore new opportunities and influence global retailers.

Joining their team, you’ll work with world-class and passionate people to lead an agile team contributing to and maintaining their cloud infrastructure as code, CI/CD pipelines, and collaborating with other experienced professionals to deliver innovative software products.

What They Expect From You:

Build applications using C# .NET Core with a React front end

Work with containerization and cloud technologies such as Docker and Kubernetes

Experience with at least one major cloud provider (GCP, Azure, AWS)

Experience with CI/CD tools (Octopus, GitLab, TeamCity)

Proven experience in a leadership role within software engineering

Strong background in end-to-end feature delivery

Excellent communication and interpersonal skills

Deep understanding of agile methodologies and best practices

A track record of successfully leading and developing high-performing engineering teams

What You Can Expect From Them:

A comprehensive rewards package that exceeds expectations

Personal flexibility, including thoughtful perks like flexible working hours and your birthday off

Investment in cutting-edge technology that reflects their global ambition, with the freedom to experiment and learn in a nimble, small-business environment

A strong commitment to diversity and inclusion, with thriving networks including gender equality, LGBTQ+ support, family, and wellness groups

An opportunity to thrive in a supportive and inclusive environment that helps you perform at your best

They believe in creating an environment where everyone can shine. Let them know how they can make this process work best for you. For an informal and confidential chat, please reach out to [contact email] to discuss how they can meet your needs

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

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

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.

🍪 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.