Head of Software Engineering | £150k – Java, Machine Learning, and Data-Driven Innovation

London

9 months ago

Applications closed

Related Jobs

View all jobs

Data Scientist – GenAI & AI Engineering

Software Engineering Manager – Machine Learning

Head of Data Science

Senior Data Scientist

Naimuri - Senior Data Scientist

Lead Software Engineer - MLOps Platform

Head of Software Engineering | £150k – Java, Machine Learning, and Data-Driven Innovation

Are you ready to lead the charge in revolutionizing industrial maintenance through cutting-edge technology? Join an innovative tech firm that's transforming the industry with data-driven intelligence and machine learning. This is your chance to be at the forefront of a rapidly growing company, driving substantial ROI for clients and leading a talented team of engineers.

As the Head of Software Engineering, you'll guide the evolution of their core platform, overseeing a team of 15 engineers across frontend and backend. This role is pivotal in shaping the future of their technology, ensuring seamless integration and exceptional performance.

Their engineering team has a stellar track record of delivering complex, end-to-end data processing and visualization systems on a global scale. With a codebase that includes Java 20, Spring Boot, Spring API, Vue.js, Jenkins, and AWS, they need a leader with a strong hands-on background in Java to steer the technical direction.

In this role, you'll be the primary point of contact internally and with international clients, discussing project progress, setting realistic deadlines, and ensuring clear communication with all stakeholders. You'll lead and contribute technically, developing and maintaining machine learning pipelines, building software products, and leveraging technologies such as Java, Spring frameworks, microservices, AWS, SQL, Elasticsearch, and Python.

We're looking for someone with at least three years of management experience, who can inspire and drive change within the organization. This is a growth role with immense opportunities to innovate and make a significant impact.

What they can offer:
Competitive Salary: £120k - £150k (DOE)
Performance Bonus: Incentives based on your achievements
Generous Leave: 26 days annual leave plus birthday holiday
Pension Scheme: Secure your future
Company Events: Engage and connect with your team
Electric Vehicle Scheme: Access to a salary sacrifice scheme for electric vehiclesInterested? If you're excited about this opportunity or know someone who might be a perfect fit, please reach out! Contact Rebeka Mulk at (url removed) or connect with me on LinkedIn – Rebeka Mulk @ Opus Recruitment Solutions for an informal chat.

Please note: We are currently unable to sponsor for this position

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

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

Feb 9, 2026

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.

Feb 2, 2026

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.

Jan 23, 2026

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.