Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design, build, and deploy intelligent ML systems for diverse industries.
- Company: Global consultancy in Northern Ireland with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact on business outcomes using cutting-edge ML technology.
- Qualifications: 2+ years of production ML experience and strong programming skills.
- Other info: Join a dynamic team and work on exciting projects across various sectors.
The predicted salary is between 36000 - 60000 £ per year.
A global consultancy in Northern Ireland is seeking a Machine Learning Engineer to join their Data Science & Machine Learning team. In this role, you will design, build, and deploy intelligent systems for clients in various industries including Financial Services and Manufacturing. You will manage the entire ML solution lifecycle and develop both traditional ML and generative AI systems. The ideal candidate has 2+ years of experience in production ML and strong programming skills. This position offers a unique opportunity to impact real business outcomes.
Production ML Engineer: End-to-End Systems (Hybrid UK) in Belfast employer: Huron
Contact Detail:
Huron Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Production ML Engineer: End-to-End Systems (Hybrid UK) in Belfast
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those that highlight your experience with production systems. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Be ready to discuss your past projects and how you've tackled challenges in ML. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Production ML Engineer: End-to-End Systems (Hybrid UK) in Belfast
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in production ML and programming skills. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can contribute to our Data Science & Machine Learning team. Let us know what makes you tick!
Showcase Your Projects: If you've worked on any interesting ML projects, make sure to mention them! We love seeing practical examples of your work, especially if they relate to intelligent systems or generative AI.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Huron
✨Know Your ML Fundamentals
Brush up on your machine learning fundamentals, especially around production ML and generative AI. Be ready to discuss algorithms, model evaluation, and deployment strategies. This will show that you have a solid grasp of the concepts that are crucial for the role.
✨Showcase Your Projects
Prepare to talk about specific projects you've worked on. Highlight your role in the end-to-end ML solution lifecycle, from design to deployment. Use examples that demonstrate your programming skills and how your work has positively impacted business outcomes.
✨Understand the Industry
Research the industries the consultancy works with, like Financial Services and Manufacturing. Be prepared to discuss how machine learning can solve problems in these sectors. This shows your interest in the role and your ability to apply ML solutions in real-world scenarios.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, projects, and company culture. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you. Asking about their approach to ML challenges can spark a great conversation.
