MLOps Engineer β€” Production ML Systems, MLflow & Azure in London

MLOps Engineer β€” Production ML Systems, MLflow & Azure in London

London Full-Time 60000 - 75000 € / year (est.) No home office possible
Optima Partners

At a Glance

  • Tasks: Own the end-to-end ML model lifecycle using MLflow, Databricks, and Azure.
  • Company: Join Optima Partners, a forward-thinking engineering team in Greater London.
  • Benefits: Enjoy a competitive package with bonuses, extensive holiday, and private medical insurance.
  • Other info: Be part of a dynamic team with exciting growth opportunities.
  • Why this job: Make a real impact in ML Engineering and work with cutting-edge technologies.
  • Qualifications: 3+ years of experience in ML Engineering and strong model production skills.

The predicted salary is between 60000 - 75000 € per year.

Optima Partners is seeking an MLOps Engineer to join their engineering team in Greater London. In this role, you will own the end-to-end ML model lifecycle, working with tools like MLflow, Databricks, and Azure.

Ideal candidates will have over 3 years of experience in ML Engineering and a strong background in productionising models.

We offer a competitive package including a discretionary bonus, extensive holiday, and private medical insurance.

MLOps Engineer β€” Production ML Systems, MLflow & Azure in London employer: Optima Partners

Optima Partners is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Greater London. With a focus on employee growth, we provide extensive training opportunities and a competitive benefits package, including a discretionary bonus, generous holiday allowance, and private medical insurance, ensuring our team members feel valued and supported in their professional journey.

Optima Partners

Contact Detail:

Optima Partners Recruiting Team

StudySmarter Expert Advice🀫

We think this is how you could land MLOps Engineer β€” Production ML Systems, MLflow & Azure in London

✨Tip Number 1

Network like a pro! Reach out to folks in the MLOps community on LinkedIn or attend local meetups. You never know who might have the inside scoop on job openings at companies like Optima Partners.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your ML projects, especially those involving MLflow and Azure. This will give potential employers a taste of what you can bring to the table.

✨Tip Number 3

Prepare for technical interviews by brushing up on your ML engineering concepts. Practice coding challenges and be ready to discuss how you've productionised models in the past. We want you to shine!

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.

We think you need these skills to ace MLOps Engineer β€” Production ML Systems, MLflow & Azure in London

MLflow
Databricks
Azure
ML Engineering
Productionising Models
End-to-End ML Model Lifecycle
Experience in MLOps

Some tips for your application 🫑

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

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about MLOps and how your background makes you the perfect fit for our team. Keep it engaging and personal.

Showcase Your Projects:If you've worked on any interesting ML projects, make sure to mention them! We love seeing real-world applications of your skills, especially those that demonstrate your ability to productionise models.

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 Optima Partners

✨Know Your Tools Inside Out

Make sure you’re well-versed in MLflow, Databricks, and Azure. Brush up on how these tools integrate into the ML model lifecycle, as you’ll likely be asked about your hands-on experience with them.

✨Showcase Your Experience

Prepare to discuss specific projects where you've successfully productionised ML models. Highlight challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills and expertise.

✨Understand the Company’s Vision

Research Optima Partners and their approach to MLOps. Knowing their values and recent projects can help you tailor your answers and show that you’re genuinely interested in being part of their team.

✨Ask Insightful Questions

Prepare thoughtful questions about their current ML systems and future goals. This not only shows your enthusiasm but also helps you gauge if the company aligns with your career aspirations.