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- Tasks: Lead and mentor a team in designing innovative ML solutions for diverse industries.
- Company: Global consultancy with a focus on cutting-edge technology and impactful projects.
- Benefits: Significant career growth, competitive salary, and the chance to work on Fortune 500 projects.
- Why this job: Make a real impact in the ML field while leading a talented team.
- Qualifications: 5+ years in production ML, strong Python skills, and a relevant degree.
- Other info: Dynamic work environment with opportunities for professional development.
The predicted salary is between 48000 - 72000 £ per year.
A global consultancy is seeking a Machine Learning Engineer (Manager) to lead their Data Science & Machine Learning team in Belfast, UK. This role involves mentoring junior engineers, managing complex ML projects, and designing ML solutions for various industries including Financial Services and Manufacturing.
Candidates should have over 5 years of experience in production ML, strong Python skills, and a Bachelor's degree in a related field. The opportunity offers significant career growth and impact on Fortune 500 company projects.
ML Engineering Manager: Lead Production ML & Teams in Belfast employer: Huron
Contact Detail:
Huron Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineering Manager: Lead Production ML & Teams in Belfast
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in ML or at companies you're interested in. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best ML projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and problem-solving scenarios. Practising with mock interviews can help you articulate your experience and approach to managing teams effectively.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to stay updated on new roles as they come up.
We think you need these skills to ace ML Engineering Manager: Lead Production ML & Teams in Belfast
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in production ML and showcases your Python skills. We want to see how your background aligns with the role, so don’t be shy about mentioning relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about leading ML teams and how your experience can make an impact at our consultancy. Keep it engaging and personal – we love to see your personality!
Showcase Your Leadership Skills: As a potential ML Engineering Manager, we’re keen to see examples of how you’ve mentored junior engineers or led complex projects. Share specific instances where you’ve made a difference in your team’s success!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Huron
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and techniques. Be ready to discuss your experience with production ML, especially in the context of financial services and manufacturing. Prepare examples of projects you've led or contributed to, highlighting your problem-solving skills.
✨Showcase Your Leadership Skills
As a manager, you'll need to demonstrate your ability to mentor and lead teams. Think of specific instances where you've guided junior engineers or managed complex projects. Be prepared to discuss your leadership style and how you motivate your team to achieve their best.
✨Get Familiar with Python
Since strong Python skills are a must, make sure you're comfortable discussing your coding practices. You might be asked to solve a problem on the spot, so practice coding challenges beforehand. Highlight any libraries or frameworks you’ve used in your projects.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s approach to ML projects, team dynamics, and growth opportunities. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
