Senior MLOps Engineer

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Job Description

Summary

As part of the M&S Data team, you'll be joining a well-loved historic brand, working on solutions that serves millions of loyal customers and thousands of colleagues! With ethical values that run right through the company's core and technology leaders that truly understand data engineers and engineering, it's an exciting time as we're redefining ourselves into a digital first and data-led organisation.

We are seeking a passionate a passionate Senior MLOps Engineer to join our team and work along data scientists to deliver Data Science solutions. You will help discover and implement innovative solutions for our ML projects to enable rapid experimentation, increase accuracy of our models and ensure high quality of our products. You 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.

To stay close to customers, our support teams are in the office three days a week as we believe that skills are developed through collaboration, and that spending time together makes us more creative and connected.

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.

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'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.

What you'll do

• Build and maintain high-quality, reliable data solutions and own it with a high degree of automation in the cloud
• Collaborate with Data Science team members to develop ML solutions making use of repeatable frameworks/patterns (e.g. orchestration, model management, integration with wider data ecosystem, etc).
• Follow CICD best practices to add automation to projects to enable faster deployments.
• Act as gatekeeper for quality of data science projects before they go into production.
• Improve the quality of code by adhering to established software engineering principles and coding standards.
• Carry out production ML deployments of projects and fulfil any change management obligations (knowledge transfer sessions with wider ops team, write short SOPs for common failures, etc)
• Support of existing ML production solutions working closely with ops engineers and data science team to triage any production issues that can't be solved by first line support. Work with 3rd party engineers when required (e.g. Databricks, Microsoft)
• Support other ML engineers to produce clean, quality code through code reviews and pair programming
• Design, develop, and maintain scalable ML pipelines that adhere to ETL principles and business goals.
• Promote technology, innovation, values, and ways of working within the team and wider community
• Active participation and contribution to technical forums with a focus on positive momentum
• Help lead initiatives to take M&S MLOps Engineering to the next level by challenging the status quo

Who you are

• Demonstrable experience in cloud-based data technologies and data warehousing design principles, preferably Azure
• Articulable understanding of design/building end-to-end ML solutions
• Solid experience with ETL tools, Databricks, SQL
• Demonstrable experience in building end-to-end ML systems and ML Lifecyle (Feature engineering, monitoring, testing, deployment)
• Solid experience in ML and AI concepts.
• Solid experience with Python/Spark
• Proven expertise with distributed version controls systems like GitHub
• Good knowledge of Continuous integration and Continuous Delivery, Github Actions and Azure Pipelines.
• Excellent written and verbal communication skills, with the ability to adjust for different audiences.

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.

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