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For Companies At a Glance
- Tasks: Design and implement robust ML pipelines, collaborating with Data Scientists to productionise models.
- Company: Join M&S, a dynamic and inclusive retail leader transforming the industry.
- Benefits: Enjoy 20% discount, competitive holidays, bonuses, and extensive wellbeing support.
- Why this job: Make a real impact in a cutting-edge environment while enhancing your skills.
- Qualifications: Experience in ML solutions, Python, Spark, and CI/CD pipelines required.
- Other info: Be part of a diverse team committed to innovation and excellence.
The predicted salary is between 36000 - 60000 £ per year.
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
- 20% colleague discount across all M&S products and many of our third-party brands for you and a member of your household after completing your probationary period.
- Competitive holiday entitlement with the potential to buy extra holiday days.
- Discretionary bonus schemes awarded based on personal objectives and business performance.
- 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.
- 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 employer: MARKS&SPENCER
Contact Detail:
MARKS&SPENCER Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Mlops Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the MLOps community on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those involving CI/CD pipelines and cloud technologies. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common MLOps scenarios. Think about how you would tackle real-world problems and be ready to discuss your thought process with the interviewers.
✨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 team.
We think you need these skills to ace Senior Mlops Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior MLOps Engineer role. Highlight your proficiency in Python, Spark, and cloud technologies like Azure, as well as any experience with CI/CD pipelines.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about improving engineering practices and how you can contribute to our team. Share specific examples of how you've successfully built and deployed machine learning solutions at scale.
Showcase Problem-Solving Skills: In your application, emphasise your strong problem-solving abilities. We want to see how you've tackled challenges in previous roles, especially when working across cross-functional teams.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at M&S.
How to prepare for a job interview at MARKS&SPENCER
✨Know Your Tech Stack
Make sure you brush up on your Python, Spark, and Azure skills. Be ready to discuss how you've used these technologies in past projects, especially in building and deploying machine learning solutions. Having specific examples will show your expertise and confidence.
✨Showcase Your Problem-Solving Skills
Prepare to share instances where you've tackled complex problems in MLOps. Think about challenges you've faced while building CI/CD pipelines or working with cross-functional teams, and how you overcame them. This will highlight your strong problem-solving abilities.
✨Emphasise Collaboration
Since the role involves working closely with Data Scientists, be ready to discuss how you’ve collaborated with different teams in the past. Share examples of how you’ve helped productionise ML models and improved engineering practices through teamwork.
✨Demonstrate Your Passion for Improvement
Talk about any initiatives you've led to enhance MLOps maturity or best practices in your previous roles. Showing that you're passionate about continuous improvement will resonate well with the company's values and mission.
