At a Glance
- Tasks: Lead AI operations, ensuring reliability and performance of enterprise-scale AI solutions.
- Company: Join M&S, a dynamic and inclusive leader in the retail industry.
- Benefits: Enjoy 20% discount, competitive holidays, bonuses, and extensive wellbeing support.
- Other info: Be part of a transformative team committed to innovation and diversity.
- Why this job: Make a real impact by scaling AI safely and sustainably in a trusted environment.
- Qualifications: Proven experience in AI operations and cloud platforms like Azure and Databricks.
The predicted salary is between 81000 - 99000 £ per year.
Summary
The AI Ops Manager is accountable for the operational reliability, cost efficiency, performance, and safe evolution of AI solutions at enterprise scale.
This role sits at the intersection of data platforms, AI engineering, product teams, and governance, ensuring that AI services move from experimentation into trusted, production grade capabilities.
Operating within a Databricks, Azure, and Foundry ecosystem, the AI Ops Manager establishes and runs the AI Ops practices covering usage, cost, quality, risk, and lifecycle management enabling AI to scale safely, predictably, and with measurable business impact.
All the details
What You'll do
- Your key accountabilities will include
- 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
- Your skills and experience will include
- 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
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.
- 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.
- #hybridrole #LI-hybrid #LI-HB1
- #J-18808-Ljbffr
AI Operations Manager employer: Marks and Spencer
Marks and Spencer is an exceptional employer that fosters a culture of innovation and collaboration, particularly within the Corporate HR technology team. Employees benefit from a supportive environment that prioritises professional growth and development, alongside competitive remuneration and benefits. Working in a dynamic location, you will have the opportunity to lead impactful projects that enhance the colleague experience throughout their journey with the company.
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We think this is how you could land AI Operations Manager
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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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✨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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✨Get Comfortable with Python and R
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✨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.
