Senior MLOps Engineer in City of London

Senior MLOps Engineer in City of London

City of London Full-Time 36000 - 60000 Β£ / 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 required.
  • Other info: Access to wellbeing support and a charity volunteer day.

The predicted salary is between 36000 - 60000 Β£ 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.

Responsibilities
  • 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.
Qualifications
  • 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.

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 are an inclusive, dynamic, exciting, and ever-evolving business built on doing the right thing and bringing exceptional quality, value, and service to every customer, whenever, wherever, and however they want to shop with us.

Here are some of the benefits we offer that make working for M&S just that little bit more special:

  • After completing your probationary period, you will receive a 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 are passionate about through a dedicated day away from work.

We are ambitious about the future of retail. We are disrupting, innovating, and leading the industry into a more conscientious, inspiring digital era. We are 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 would 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 London employer: Marks and Spencer

Marks & Spencer is an exceptional employer that fosters a collaborative and innovative work culture, particularly for the Senior MLOps Engineer role. With a commitment to employee growth through tailored training programmes and a supportive environment, you will have the opportunity to work with cutting-edge technologies while enjoying competitive benefits such as a generous pension scheme, flexible parental policies, and a 20% colleague discount. Join us in transforming the retail landscape and be part of a diverse team that values your contributions and well-being.
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Contact Detail:

Marks and Spencer Recruiting Team

StudySmarter Expert Advice 🀫

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

✨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 landing the Senior MLOps Engineer role. Personal connections can make a huge difference!

✨Tip Number 2

Show off your skills in real-time! Consider setting up a personal project or contributing to open-source MLOps initiatives. This not only showcases your technical prowess but also demonstrates your passion for the field, which is exactly what M&S is looking for.

✨Tip Number 3

Prepare for the interview by brushing up on your problem-solving skills. M&S values strong problem-solvers, so be ready to tackle some technical challenges during your interview. Practice common MLOps scenarios and think about how you would approach them.

✨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 being part of the M&S community. Let’s get you that dream job!

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

Machine Learning Solutions
Python
Spark
Cloud Technologies
Azure
CI/CD Pipelines
MLOps Practices
Automation
Testing
Monitoring
Collaboration
Problem-Solving Skills
Engineering Principles
Data Science Solutions

Some tips for your application 🫑

Tailor Your CV: Make sure your CV is tailored to the Senior MLOps Engineer role. Highlight your experience with ML pipelines, Python, and cloud technologies like Azure. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for MLOps and how you can contribute to our team. Let us know why you're excited about working with data scientists and driving innovation at StudySmarter.

Showcase Your Problem-Solving Skills: In your application, don’t forget to mention specific examples of how you've tackled challenges in previous roles. We love problem-solvers who can work across teams, so let us see your thought process!

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 this exciting opportunity. Plus, it’s super easy!

How to prepare for a job interview at Marks and Spencer

✨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 Continuous Improvement

Express your passion for improving engineering practices. Share any initiatives you've led or participated in that enhanced MLOps maturity or quality standards. This will align with their goal of building a best-in-class MLOps team and culture.

Senior MLOps Engineer in City of London
Marks and Spencer
Location: City of London

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