Machine Learning Engineer in Lisburn

Machine Learning Engineer in Lisburn

Lisburn Full-Time 60000 - 60000 £ / year (est.) Home office (partial)
MCS Group

At a Glance

  • Tasks: Build, deploy, and optimise machine learning solutions that impact healthcare.
  • Company: Exciting MedTech scale-up using AI to solve real-world challenges.
  • Benefits: Competitive salary, hybrid work model, and career growth opportunities.
  • Other info: Dynamic environment with the chance to grow alongside an ambitious team.
  • Why this job: Join a talented team and influence technology decisions in a meaningful way.
  • Qualifications: Experience in Machine Learning, strong Python skills, and AWS knowledge.

The predicted salary is between 60000 - 60000 £ per year.

MCS Group is working with an exciting, high-growth MedTech scale up that is using AI and machine learning to solve real-world healthcare challenges. As they continue to scale, they're looking for a Machine Learning Engineer to join their team to help build, deploy and optimise ML solutions that make a genuine impact. As an ML Engineer, you'll work closely with a talented team of engineers and data scientists, developing and productionising machine learning models in a modern AWS environment. We're specifically looking for engineers with experience with AWS services, particularly SageMaker. This is a hybrid position (1-2 days a week in office) in Belfast.

What we're looking for:

  • A few years' commercial experience in Machine Learning or Data Science
  • Strong Python skills and experience building ML models
  • Hands-on experience with AWS and SageMaker
  • Experience deploying and maintaining models in production
  • Strong problem-solving skills and a collaborative mindset

This is a fantastic opportunity to join a growing business at an early stage, where you'll have the chance to influence technology decisions, work on meaningful products, and grow your career alongside an ambitious team.

Salary: Up to £60,000 depending on experience.

To speak in absolute confidence about this opportunity, please send an up-to-date CV via the link provided or contact Chris Busby, Associate Director - IT Recruitment, at MCS Group. Even if this position is not right for you, we may have others that are. Please visit MCS Group to view a wide selection of our current and exclusive roles. All conversations will be treated in the strictest of confidence.

Machine Learning Engineer in Lisburn employer: MCS Group

MCS Group offers an exceptional work environment for Machine Learning Engineers, particularly in the vibrant city of Belfast. With a strong focus on innovation in the MedTech sector, employees benefit from a collaborative culture that encourages professional growth and the opportunity to make a real impact in healthcare. The hybrid working model and competitive salary further enhance the appeal of joining this ambitious team at a pivotal stage of their journey.

MCS Group

Contact Details:

MCS Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Machine Learning Engineer in Lisburn

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow ML enthusiasts. 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 machine learning projects, especially those using AWS and SageMaker. This will give potential employers a taste of what you can do and set you apart from the crowd.

Tip Number 3

Prepare for technical interviews by brushing up on your Python and ML concepts. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key, so let your passion for ML shine through!

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of exciting roles waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications that way!

We think you need these skills to ace Machine Learning Engineer in Lisburn

Machine Learning
Data Science
Python
AWS
SageMaker
Model Deployment
Model Maintenance

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with machine learning and AWS, especially SageMaker. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!

Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for AI and healthcare, and explain how your background makes you a great addition to our team.

Showcase Problem-Solving Skills:In your application, give examples of how you've tackled challenges in previous roles. We love seeing candidates who can think critically and collaborate effectively, so let that shine through!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands, and we can’t wait to see what you bring to the table!

How to prepare for a job interview at MCS Group

Know Your Tech

Make sure you brush up on your AWS and SageMaker knowledge. Be ready to discuss how you've used these tools in your previous projects, as well as any challenges you faced and how you overcame them.

Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled complex problems in machine learning. Think about specific scenarios where your analytical skills made a difference, and be ready to explain your thought process.

Collaborate Like a Pro

Since this role involves working closely with engineers and data scientists, be prepared to talk about your experience in team settings. Highlight instances where collaboration led to successful outcomes in your projects.

Ask Insightful Questions

At the end of the interview, don’t shy away from asking questions. Inquire about the team dynamics, the types of projects you'll be working on, or how they measure success in their ML solutions. This shows your genuine interest in the role and the company.