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

Apply Now

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

London
4 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Head of data engineering - remote

Resilience Data Analyst

Lead Full-stack Data Scientist

Commercial Sales & Pricing Data Analyst - Global Leader

Data Analyst - Asset Management

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.

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

Industry Insights

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

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.