Machine Learning Manager

VANRATH
Belfast
1 year ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer (Manager)

Machine Learning Engineer (Manager)

Machine Learning Engineering Manager, Gen AI

Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR...

Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR...

Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR...

Machine Learning Manager Location: Northern Ireland Salary: £120,000 - £130,000 per annum + Bonus + Stock Options Company Overview: VANRATH is partnering with a prominent global software company in the search for a skilled Software Architect with expertise in Machine Learning principles. This is a unique opportunity to lead a dynamic team that leverages cutting-edge technologies and is at the forefront of innovation. The role is based in Northern Ireland. Role Overview: As a Software Engineering Manager - AI/ML, you will be a key contributor to the design and implementation of software solutions, particularly focusing on Machine Learning principles. The ideal candidate will bring experience in Cloud technologies, CI/CD, Docker, Kubernetes, and proficiency in modern development languages, including Python. This role offers a competitive salary, along with bonus and stock options. Requirements: Collaborate with data scientists, software engineers, and stakeholders to architect dynamically scalable and efficient Analytic services, utilizing both in-house and third-party models. Lead by example through active involvement in the design, development, and maintenance of Analytic services in production environments, adhering to our clients standard Engineering methodology and processes. Provide technical guidance and mentorship to team members, nurturing a culture of continuous learning and innovation. Benefits: Competitive salary, ranging from £110,000 to £130,000 per annum. Bonus and stock options for performance and commitment. Opportunity to work with cutting-edge technologies in a global software company. Skills: AWS MLOps Python

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.

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.

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.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.