Engineering Manager

Hammersmith Broadway
1 month ago
Applications closed

Related Jobs

View all jobs

Analytics Engineering Manager

Data Engineering Manager

Software Team Manchester

Machine Learning Manager

Machine Learning Engineering Manager

Apply Now! Machine Learning Engineering Manager

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

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Jobs in the Public Sector: Opportunities Across GDS, NHS, MOD, and More

Machine learning (ML) has rapidly moved from academic research labs to the heart of industrial and governmental operations. Its ability to uncover patterns, predict outcomes, and automate complex tasks has revolutionised industries ranging from finance to retail. Now, the public sector—encompassing government departments, healthcare systems, and defence agencies—has become an increasingly fertile ground for machine learning jobs. Why? Because government bodies oversee vast datasets, manage critical services for millions of citizens, and must operate efficiently under tight resource constraints. From using ML algorithms to improve patient outcomes in the NHS, to enhancing cybersecurity within the Ministry of Defence (MOD), there’s a growing demand for skilled ML professionals in UK public sector roles. If you’re passionate about harnessing data-driven insights to solve large-scale problems and contribute to societal well-being, machine learning jobs in the public sector offer an unparalleled blend of challenge and impact. In this article, we’ll explore the key reasons behind the public sector’s investment in ML, highlight the leading organisations, outline common job roles, and provide practical guidance on securing a machine learning position that helps shape the future of government services.

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.

Machine‑Learning Jobs for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.