Engineering Manager – Machine Learning

Adepta Partners Limited; Belfast; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading technology firm in Northern Ireland is seeking an Engineering Manager – Machine Learning to lead a talented team. You will mentor engineers while contributing hands-on to code and driving best practices in ML solutions. The ideal candidate has a strong software engineering background, proven team leadership skills, and proficiency in ML frameworks. This is an opportunity to shape next-generation products that make a real-world impact.

Qualifications

• Strong software engineering background with direct experience in machine learning applications.
• Proven track record leading teams – balancing delivery with career growth and mentorship.
• Proficiency in modern ML frameworks and cloud platforms.

Responsibilities

• Lead, mentor, and develop a team of Machine Learning engineers and researchers.
• Stay hands-on: contribute to code and guide technical design decisions.
• Drive best practices across experimentation and model training.

Skills

machine learning

Management

data

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Overview

Engineering Manager – Machine Learning

We are seeking a hands-on Engineering Manager to lead and grow a talented Machine Learning team, driving innovation and delivering real-world impact through cutting-edge AI solutions.

This role blends technical leadership with people management – perfect for someone who wants to stay close to the code while also shaping a high-performing engineering culture.

Responsibilities

• Lead, mentor, and develop a team of Machine Learning engineers and researchers.
• Stay hands-on: contribute to code, review architecture, and guide technical design decisions.
• Collaborate with product and data teams to scope, build, and scale ML-driven features and systems.
• Drive best practices across experimentation, model training, deployment, and monitoring.
• Champion engineering excellence, ensuring reliability, performance, and security in ML systems.

Qualifications

• Strong software engineering background with direct experience in machine learning applications.
• Proven track record leading teams – balancing delivery with career growth and mentorship.
• Proficiency in modern ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and cloud platforms.
• Comfortable working across the full lifecycle: from research prototypes to production-scale systems.
• Excellent communication skills and a collaborative mindset.

Why apply?

This is an opportunity to lead a team at the forefront of machine learning, where your work will shape next-generation products and capabilities. You’ll have the freedom to innovate, while ensuring the team operates with excellence, impact, and scalability.

Skills: machine learning, Management, data