At a Glance
- Tasks: Lead AI engineering and build scalable AI services for innovative solutions.
- Company: Marks & Spencer, a leading retail brand embracing cutting-edge technology.
- Benefits: Competitive salary, career advancement, and the chance to shape AI strategy.
- Other info: Join a dynamic team focused on innovation and excellence.
- Why this job: Drive impactful AI initiatives and transform data into intelligent insights.
- Qualifications: Proven experience in AI engineering and strategic leadership.
The predicted salary is between 80000 - 100000 £ per year.
Marks & Spencer seeks a senior Head of AI Engineering to own and lead the enterprise AI engineering capability within the Data & AI function.
You will set technical direction, build AI foundations, and enable scalable access to AI services across technology teams.
You will lead strategy, design, build, and operation of secure AI systems powering intelligent automation, analytics, and data-driven decision making, aligned with enterprise architecture and data standards.
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Head of AI Engineering & Enterprise AI Platforms in London 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.
StudySmarter Expert Advice🤫
We think this is how you could land Head of AI Engineering & Enterprise AI Platforms in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Head of AI Engineering & Enterprise AI Platforms 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!
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Craft a Tailored Cover Letter:For a full-time role at Marks and 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 and 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 and 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 and 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.
