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

Apply Now

Machine Learning Engineering Manager

Ocho People
Belfast
4 weeks ago
Create job alert

Machine Learning Engineering Manager needed to join one of NI's top AI Teams


Do you want to work for a company who have experienced unparalleled growth with no redundancies? Want to lead a tight knit team where collaboration and innovation come first? How about working on greenfield AI and ML projects daily with a team that will take you places?


The Role

You'll be joining as Machine Learning Engineering Manager, leading a team of highly-skilled ML Engineers and Data Scientists to design, build, and scale production-ready AI systems. You'll be responsible for setting technical direction, driving best practices, and mentoring engineers while staying hands-on with modern ML engineering. From model training and optimisation to deployment pipelines and monitoring in production, you'll ensure delivery of high-quality, reliable ML solutions that power next-gen products.


This is an opportunity to work with an award-winning team, founded by some of the brightest minds in the industry. Expect to be at the cutting edge of AI and engineering.


What’s In It For You?

  • Market leading salaries & bonus
  • Hybrid working, with no pressure on office days
  • A big focus on work-life balance
  • The chance to lead a fun, highly-motivated team where there's never a dull moment

Technical Skills

  • 8+ years in software/data/ML engineering with at least 3+ in a leadership role
  • Strong expertise in Machine Learning engineering practices (training, deployment, monitoring, MLOps)
  • Hands-on experience with Python (TensorFlow, PyTorch, scikit-learn etc.) and strong engineering background (Go/Java/Scala desirable)
  • Solid knowledge of cloud platforms (AWS, GCP, or Azure) and containerisation (Docker/Kubernetes)
  • Experience with CI/CD pipelines for ML and data workflows
  • Familiarity with data pipelines, feature stores, and distributed systems (Spark, Kafka etc.)
  • Excellent communication and leadership skills

About You

You're the right match if you:



  • Want to step up and take ownership of a high-performing ML Engineering team
  • Thrive at the intersection of leadership and technical problem-solving
  • Are passionate about deploying machine learning in the real world, not just in research
  • Want the chance to join a true tech disruptor who are putting NI on the global AI map

What’s It Like to Work Here?

This company has one of the best retention rates in Belfast for a reason. All employees are treated like adults, with the autonomy to do what needs done, when it needs done. Come and see why everyone wants to join.


#J-18808-Ljbffr

Related Jobs

View all jobs

Machine Learning Engineering Manager

Machine Learning Engineering Manager

Machine Learning Engineering Manager - Personalization

Machine Learning Engineering Manager – Personalization Spotify

Machine Learning Engineering Manager - Personalization

Staff Machine Learning Scientist

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 AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.