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 Newtownabbey employer: MCS Group
MCS Group is an exceptional employer, offering a dynamic work environment where innovation meets impact in the MedTech sector. As a Machine Learning Engineer, you'll be part of a collaborative team that values your contributions and provides ample opportunities for professional growth, all while enjoying the flexibility of a hybrid work model in the vibrant city of Belfast. With competitive salaries and the chance to influence cutting-edge technology decisions, this role promises a rewarding career path in a high-growth company dedicated to solving real-world healthcare challenges.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer in Newtownabbey
✨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 a range of exciting roles that could be perfect for you. Plus, it’s a great way to stay updated on new opportunities as they come up.
We think you need these skills to ace Machine Learning Engineer in Newtownabbey
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:Use your cover letter to tell us why you’re excited about this opportunity. Share your passion for solving healthcare challenges with AI and how you can contribute to our team’s success.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex problems in your previous roles. We love seeing a collaborative mindset, so mention any teamwork experiences that highlight your ability to work well with others.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at MCS Group
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and AWS services, especially SageMaker. Be ready to discuss specific projects where you've built or deployed ML models, as this will show your hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex challenges in your previous roles. Think about situations where you had to collaborate with others to find solutions, as teamwork is key in this role.
✨Understand the Company’s Mission
Research MCS Group and the MedTech scale-up's goals. Be prepared to discuss how your skills can help them solve real-world healthcare challenges, demonstrating your genuine interest in their mission.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the technologies they use, and their future projects. This shows that you're not just interested in the job, but also in how you can contribute to their success.
