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- Tasks: Design and implement robust ML pipelines while collaborating with data scientists.
- Company: Leading retail organisation in the UK with a focus on innovation.
- Benefits: Hybrid working model, competitive salary, and comprehensive employee benefits.
- Why this job: Join a dynamic team and make an impact in the world of machine learning.
- Qualifications: Experience in deploying ML solutions, proficient in Python and Spark.
- Other info: Great opportunity for career growth in a supportive environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading retail organization in the UK is seeking a Senior MLOps Engineer to collaborate with data scientists on ML projects. You will design and implement robust ML pipelines and ensure the reliability of ML workflows while promoting best practices.
Ideal candidates have experience in deploying machine learning solutions, are proficient in Python and Spark, and possess strong problem-solving skills.
This position offers a hybrid working model and a range of employee benefits.
Senior MLOps Engineer — Build Production ML Pipelines in City of London employer: Marks and Spencer
Contact Detail:
Marks and Spencer Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior MLOps Engineer — Build Production ML Pipelines in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those involving Python and Spark. This will not only impress potential employers but also give you confidence during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your problem-solving skills. Practice coding challenges and be ready to discuss your past experiences with deploying machine learning solutions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior MLOps Engineer — Build Production ML Pipelines in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ML pipelines and tools like Python and Spark. 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 shine! Use it to explain why you’re passionate about MLOps and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. We’re looking for candidates who can think on their feet and come up with innovative solutions, so share those success stories!
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. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Marks and Spencer
✨Know Your ML Pipelines
Make sure you understand the intricacies of building and deploying ML pipelines. Brush up on your experience with Python and Spark, as you'll likely be asked to discuss specific projects where you've implemented these technologies.
✨Showcase Problem-Solving Skills
Prepare to share examples of challenges you've faced in previous roles and how you tackled them. This is your chance to demonstrate your strong problem-solving skills, so think of a few scenarios that highlight your analytical thinking.
✨Familiarise Yourself with Best Practices
Since the role involves promoting best practices, be ready to discuss what you consider to be the key principles in MLOps. This could include topics like version control, testing, and monitoring of ML models.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's ML projects and their approach to collaboration between data scientists and engineers. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
