Senior MLOps Engineer in City of Westminster

Senior MLOps Engineer in City of Westminster

City of Westminster Full-Time 36000 - 60000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and implement robust ML pipelines and collaborate with data scientists.
  • Company: Join Marks & Spencer, a dynamic and inclusive retail leader.
  • Benefits: Enjoy a 20% discount, competitive holidays, and generous pension schemes.
  • Why this job: Be part of a transformative team driving innovation in MLOps.
  • Qualifications: Experience in ML solutions, Python, Spark, and CI/CD pipelines.
  • Other info: Access to wellbeing support and a charity volunteer day.

The predicted salary is between 36000 - 60000 ÂŁ per year.

We are seeking a passionate Senior MLOps Engineer to join our team and work alongside data scientists to deliver Data Science solutions. This role will help discover and implement state‑of‑the‑art solutions for our ML projects to enable rapid experimentation, increase accuracy of our models and ensure high quality of our products. This role will be part of a collaborative team that is integral to establishing the environments and processes to quickly build and deploy ML solutions into production. You will play a key role in driving our ambition to create a best‑in‑class MLOps engineering team, environment, and culture. We are looking for people to join our community of engineers to drive this transformation, build a modern data platform using exciting technologies and do the best work of their careers.

Who you are:

  • Experienced in building and deploying machine learning solutions at scale.
  • Proficient in Python, Spark, and cloud technologies, preferably Azure.
  • Experienced building CI/CD pipelines for ML workflows.
  • Strong problem‑solver who can work effectively across cross‑functional teams.
  • Passionate about improving engineering practices.

What you will do:

  • Design and implement robust ML pipelines and infrastructure.
  • Work closely with Data Scientists to productionise ML models using engineering principles and reusable frameworks.
  • Embed automation, testing, and monitoring into ML workflows to ensure reliability.
  • Act as a quality gatekeeper for production deployments, ensuring best practices and coding standards are met.
  • Lead initiatives to improve MLOps maturity within M&S.

What’s in it for you:

Being a part of M&S is exactly that – playing your part to bring the magic of M&S to our customers every day. We’re an inclusive, dynamic, exciting, and ever‑evolving business built on doing the right thing and bringing exceptional quality, value, service to every customer, whenever, wherever and however they want to shop with us.

Benefits:

  • After completing your probationary period, you’ll receive 20% colleague discount across all M&S products and many of our third‑party brands for you and a member of your household.
  • Competitive holiday entitlement with the potential to buy extra holiday days!
  • Discretionary bonus schemes awarded based on how you achieve your personal objectives and our performance as a business.
  • A generous Defined Contribution Pension Scheme and Life Assurance.
  • A dedicated welcome to our teams with a tailored induction and a wide range of training programmes to develop your skills.
  • Amazing perks and discounts via our M&S Choices portal to maximise your financial and personal wellbeing.
  • Industry‑leading parental, adoption and neonatal policies, providing support and flexibility for your family.
  • Access to a fantastic range of wellbeing support for all colleagues including access to our 24/7 Virtual GP and PAM Assist to support you and your family.
  • A charity volunteer day to support a charity or cause you're passionate about through a dedicated day away from work.

Everyone's welcome:

We are ambitious about the future of retail. We’re disrupting, innovating and leading the industry into a more conscientious, inspiring digital era. We’re transforming how we work together and offering our most exciting opportunities yet. Marks & Spencer strives to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make change happen. We are committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best. We support each other and work together to win together. If you feel you’d benefit from any support or reasonable adjustments during any stage of the recruitment process, please don’t hesitate to let us know when completing your application. This information will be picked up by our team, so we can try and put steps in place to help you be at your best through this process.

Senior MLOps Engineer in City of Westminster employer: Marks & Spencer Plc

Marks & Spencer is an exceptional employer that fosters a collaborative and inclusive work culture, where innovation and quality are at the forefront of our mission. As a Senior MLOps Engineer, you will have access to extensive training programmes, competitive benefits including a generous pension scheme, and a supportive environment that encourages personal and professional growth. Join us in transforming the retail landscape while enjoying unique perks like a 20% discount on products and a dedicated charity volunteer day.
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Contact Detail:

Marks & Spencer Plc Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior MLOps Engineer in City of Westminster

✨Tip Number 1

Network like a pro! Reach out to current employees at M&S on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. It’s all about making connections!

✨Tip Number 2

Prepare for technical interviews by brushing up on your Python, Spark, and CI/CD pipeline skills. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve problems!

✨Tip Number 3

Show your passion for MLOps! During interviews, share your thoughts on the latest trends in machine learning and how you can contribute to building a best-in-class MLOps team. Let your enthusiasm shine through!

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our amazing team at M&S.

We think you need these skills to ace Senior MLOps Engineer in City of Westminster

Machine Learning Solutions
Python
Spark
Cloud Technologies
Azure
CI/CD Pipelines
Problem-Solving Skills
Collaboration
ML Pipelines Design
Automation
Testing
Monitoring
Quality Assurance
MLOps Maturity Improvement

Some tips for your application 🫡

Show Your Passion: When writing your application, let your enthusiasm for MLOps and data science shine through. We want to see that you’re not just qualified, but genuinely excited about the role and what we do at StudySmarter.

Tailor Your CV: Make sure your CV highlights your experience with Python, Spark, and cloud technologies like Azure. We love seeing how your skills align with our needs, so don’t be shy about showcasing relevant projects or achievements!

Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your experiences and skills are easy to read and understand. Avoid jargon unless it’s relevant to the role!

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’re considered for the role. Plus, it’s super easy to do!

How to prepare for a job interview at Marks & Spencer Plc

✨Know Your Tech Stack

Make sure you’re well-versed in Python, Spark, and Azure. Brush up on your knowledge of these technologies and be ready to discuss how you've used them in past projects. This will show that you’re not just familiar with the tools but can also apply them effectively.

✨Showcase Your MLOps Experience

Prepare specific examples of how you've built and deployed machine learning solutions at scale. Talk about the CI/CD pipelines you've created and how they improved workflow efficiency. This will demonstrate your hands-on experience and problem-solving skills.

✨Collaborate Like a Pro

Since this role involves working closely with data scientists, be ready to discuss how you’ve collaborated with cross-functional teams in the past. Highlight any successful projects where teamwork led to better outcomes, showcasing your ability to communicate and work well with others.

✨Emphasise Quality and Best Practices

Be prepared to talk about how you ensure quality in production deployments. Discuss your approach to embedding automation, testing, and monitoring into ML workflows. This will show that you take pride in your work and are committed to maintaining high standards.

Senior MLOps Engineer in City of Westminster
Marks & Spencer Plc
Location: City of Westminster

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