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- Tasks: Manage ML model deployments and collaborate with data scientists on production systems.
- Company: Leading marketing tech company based in Dundee, Scotland.
- Benefits: Ownership culture, growth opportunities, and a chance to work with cutting-edge technology.
- Why this job: Join a dynamic team and push the boundaries of machine learning.
- Qualifications: 2+ years experience, proficiency in Python, and AWS familiarity.
- Other info: Perfect for tech enthusiasts looking to make an impact.
The predicted salary is between 36000 - 60000 £ per year.
A leading marketing technology company in Dundee, Scotland, is seeking an experienced MLOps Developer. In this role, you will manage ML model deployments and collaborate with data scientists to integrate models into production systems.
You should have at least 2 years of experience in a related role, proficiency in Python, and familiarity with AWS services. The environment encourages ownership and growth, making it an ideal place for tech enthusiasts eager to push boundaries in machine learning.
MLOps Engineer: Deploy, Scale & Automate ML in Dundee employer: Optimove
Contact Detail:
Optimove Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land MLOps Engineer: Deploy, Scale & Automate ML in Dundee
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or attend 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 MLOps projects, especially those involving Python and AWS. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common MLOps scenarios. Think about how you would handle model deployment challenges or scaling issues. Practising these answers will help you feel more confident when it’s showtime!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate tech enthusiasts ready to push boundaries in machine learning. Your next big opportunity could be just a click away!
We think you need these skills to ace MLOps Engineer: Deploy, Scale & Automate ML in Dundee
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and AWS in your application. We want to see how you've used these skills in real-world scenarios, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific projects or experiences that relate to MLOps and model deployment. It shows us you’re genuinely interested in the position!
Be Yourself: We love authenticity! Let your personality shine through in your written application. Share your passion for machine learning and why you’re excited about the opportunity to work with us.
Apply Through Our Website: For the best chance of getting noticed, make sure to apply directly through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Optimove
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and AWS services before the interview. Be ready to discuss specific projects where you've deployed ML models, as this will show your hands-on experience and technical prowess.
✨Showcase Collaboration Skills
Since you'll be working closely with data scientists, prepare examples of how you've successfully collaborated in the past. Highlight any challenges you faced and how you overcame them, demonstrating your ability to work as part of a team.
✨Emphasise Ownership and Growth
This company values ownership and growth, so come prepared to discuss how you've taken initiative in previous roles. Share instances where you've pushed boundaries or implemented new ideas that improved processes or outcomes.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to MLOps and their future projects. This not only shows your interest but also helps you gauge if the company aligns with your career aspirations and values.