At a Glance
- Tasks: Lead AI engineering strategy and build innovative, scalable AI solutions.
- Company: Join M&S, a dynamic leader in retail innovation.
- Benefits: Enjoy discounts, competitive holidays, and comprehensive wellbeing support.
- Other info: Inclusive culture focused on diversity and continuous improvement.
- Why this job: Shape the future of retail with cutting-edge AI technology.
- Qualifications: Proven leadership in AI, data, and cloud technologies.
The predicted salary is between 70000 - 90000 £ per year.
What You'll do
- Define and execute M&S's AI engineering strategy, roadmap, and technical vision to enable scalable, enterprise-wide AI adoption.
- Lead the build, deployment, and operation of secure, resilient, and reusable AI solutions that deliver measurable business value.
- Establish AI engineering standards, and frameworks that accelerate delivery, maximise reuse, and reduce total cost of ownership.
- Build and develop high‑performing AI engineering teams, fostering a culture of innovation, engineering excellence, and continuous improvement.
- Partner with Product, Architecture, Data, and Technology leaders to translate business ambition into industrialised AI capabilities delivered safely at scale.
Who you are
- A proven AI and technology leader with deep expertise across data/AI, cloud platforms, and enterprise data ecosystems.
- A strategic thinker who can combine technical depth with commercial awareness to shape long‑term investment and technology decisions.
- An inspirational people leader with a track record of building, mentoring, and scaling high‑performing engineering organisations.
- A transformational leader who thrives in complex environments, embraces change, and drives innovation while maintaining strong governance and control.
- A highly credible communicator who can influence executive stakeholders, align cross‑functional teams, and translate complex technology into business outcomes.
- 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.
Benefits
- After completing your probationary period, you’ll 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 option to purchase extra holiday days.
- Discretionary bonus schemes based on how you meet 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.
- Ample 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 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.
Commitment to diversity and inclusion
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.
Support during recruitment
If you feel you would benefit from any support or reasonable adjustments during any stage of the recruitment process, please let us know when completing your application.
This information will be used by our team to put steps in place to help you be at your best through the process.
#J-18808-Ljbffr
Head of AI Engineering in London employer: MARKS&SPENCER
At MARKS&SPENCER, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. As an Engineering Strategy Lead in Greater London, you will benefit from a supportive environment that prioritises professional growth, offers mentorship opportunities, and encourages the adoption of cutting-edge technologies. Join us to be part of a team that values excellence and is committed to making a meaningful impact in the retail sector.
StudySmarter Expert Advice🤫
We think this is how you could land Head of AI Engineering in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like MARKS&SPENCER!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Head of AI Engineering at MARKS&SPENCER.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like MARKS&SPENCER.
✨Apply Directly through Our Website
When you find a suitable opening like Head of AI Engineering at MARKS&SPENCER, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Head of AI Engineering in London
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
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!
✨Showcase Your Projects
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.