AI Content Generator

AI Content Generator

Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
M

At a Glance

  • Tasks: Design and optimise AI-powered content generation solutions across various media.
  • Company: Join M&S, a dynamic and innovative leader in retail.
  • Benefits: Enjoy a 20% discount, competitive holidays, and wellness support.
  • Other info: Inclusive culture with excellent training and career growth opportunities.
  • Why this job: Be at the forefront of AI innovation and make a real impact.
  • Qualifications: Experience with Generative AI, Python, and content automation workflows.

The predicted salary is between 60000 - 80000 £ per year.

What You’ll do

  • Design, build and optimise AI-powered content generation solutions across image, video, text and emerging 3D experiences.
  • Develop prompt engineering, RAG and multimodal AI workflows that create high-quality, brand-aligned content at scale.
  • Build automated visual content pipelines including image generation, transformation, background replacement, quality assessment and content optimisation.
  • Partner with Marketing, Creative and Product teams to turn business requirements into production-ready AI solutions and innovative customer experiences.
  • Implement governance, evaluation and operational best practices covering content quality, model performance, brand safety and responsible AI delivery.

Who you are

  • Hands-on experience with Generative AI, LLMs, multimodal AI, prompt engineering and retrieval-augmented generation (RAG).
  • Strong engineering skills in Python and modern AI frameworks, with experience delivering production-grade solutions.
  • Experience in AI-powered visual content creation, image processing, computer vision and content automation workflows.
  • Ability to work closely with business stakeholders, understand complex requirements and translate them into practical AI solutions.
  • A proactive, creative and delivery-focused mindset with a passion for emerging AI technologies and innovation in content generation.

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.

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.

AI Content Generator 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.

M

Contact Details:

Marks & Spencer Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Content Generator

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 AI Content Generator 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 AI Content Generator 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 AI Content Generator

Generative AI
Large Language Models (LLMs)
Multimodal AI
Prompt Engineering
Retrieval-Augmented Generation (RAG)
Python
AI Frameworks

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.