At a Glance
- Tasks: Lead AI operations, ensuring performance, governance, and optimisation across all AI services.
- Company: Join M&S, a dynamic and inclusive leader in the retail industry.
- Benefits: Enjoy a 20% discount, competitive holidays, bonuses, and extensive wellbeing support.
- Other info: Be part of a diverse team driving change in the retail sector.
- Why this job: Make a real impact in AI while working in a supportive and innovative environment.
- Qualifications: Proven experience in AI operations and strong stakeholder management skills.
The predicted salary is between 70000 - 90000 £ per year.
What You’ll do
- Define and lead the enterprise AI Ops operating model, establishing standards, governance, and ownership across all AI services.
- Own the operational performance of AI products, monitoring usage, adoption, business value, reliability, and service health.
- Drive AI cost transparency and optimisation across Azure, Databricks, model inferencing, and supporting platform services.
- Govern the end-to-end AI lifecycle, including model onboarding, deployment, monitoring, retraining, version upgrades, and retirement.
- Lead AI incident, change, resilience, and responsible AI processes, ensuring production services remain trusted, secure, and compliant.
Who you are
- An experienced technology leader with a proven track record operating AI and machine learning solutions at enterprise scale.
- Deeply knowledgeable in AI operations, model lifecycle management, cloud platforms, and modern data ecosystems including Azure and Databricks.
- Commercially minded, with strong experience balancing cost, performance, risk, and business value to maximise return on AI investment.
- A trusted partner who can influence senior stakeholders and translate complex technical concepts into clear business decisions.
- Pragmatic, accountable, and outcome-focused, with a passion for reliability, continuous improvement, and scaling AI safely and sustainably.
What's in it for you
- 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.
AI Operations Manager employer: Marks & Spencer
Marks & Spencer is an exceptional employer that prioritises inclusivity and employee growth, making it a fantastic place for those looking to thrive in the retail sector. With flexible working hours and a commitment to personal development, employees are encouraged to take ownership of their roles while contributing to a dynamic and supportive work culture. Join us in shaping a greener, more inspiring future in retail, where your contributions truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land AI Operations Manager
✨Get Involved in Data Science Meetups
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We think you need these skills to ace AI Operations Manager
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Marks & Spencer, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Marks & Spencer. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Marks & Spencer
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Marks & Spencer!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
