Personalisation is Our Passion

Does disrupting the way a trillion-pound industry operates sound like an exciting challenge?

Dressipi’s passion is to transform the way retailers engage with their customers by personalising the entire shopping journey instore and online. By combining rich data with machine learning and AI technology, Dressipi matches customers with products and experiences to influence behavior at scale.

Backed by a great group of investors, Dressipi is trusted to deliver real impact to the bottom line for some of the largest retailers including John Lewis, Arcadia Group and others.

Join our Team

We are a multi-award winning business working on ground-breaking technology that is having a real impact. By joining our team we can offer you something fantastic.

Be Part of a High Quality Team

Work alongside people who care about what they do and strive to do their best. Together, we tackle difficult data and software challenges by listening to one another, seeking feedback and being smart and pragmatic.

Have an Impact

We believe that success comes from putting the customer first and solving real problems. Our work gives millions of people every day the confidence to make better purchasing decisions. Our insights help retailers make better quality products and solve the inefficiencies in retail.

Be an Owner

We believe everyone should share in the success of the company. That’s why every team member has a generous equity stake and a competitive salary.

Happiness and Well-Being

We are a relaxed, open, friendly group of people who believe everyone can achieve their personal and professional goals in life.

Work With Us

We are always looking for exceptional people who share our passion for personalisation. If you have what it takes, please send your CV and any relevant examples of previous work (eg: websites, apps, Stack Overflow or GitHub profile) to

Software Engineer/Machine Learning Programmer

Interested in disrupting the trillion pound retail industry? We’re tackling one of the hottest and most challenging problems in Machine Learning: building a personalisation system that understands fashion.

Where you can make an impact

For Dressipi, machine learning is a keystone technology to predict which clothes will look great on a customer, answer questions through Amiya (our chatbot), and process images of products to create metadata.

We are looking for a Software Engineer who has expertise in machine learning programming and can collaborate closely with Data Scientists in implementing state of the art algorithms.

Your job will involve developing and deploying machine learning algorithms for the modelling and analysis of data. Challenges involve very large data sets and design constraints that may arise from, for example, latency requirements. Your work will directly impact end consumers in the form of personalising shopping journeys and communications both in-store and online.

We are not a traditional tech start-up; it is an exciting environment with a diverse group of people, combining the best talents in all disciplines.


  • Work closely with Data Science teams to implement and deploy machine learning algorithms

  • Collaborate with Engineering teams to integrate experimental capabilities into highly complex production systems

  • Apply data-mining, machine learning and/or graph analysis techniques for a variety of modeling and relevance problems involving customers, their relationships and their fashion preferences

  • Harness cutting-edge ML tools and libraries to solve problems quickly and efficiently

  • Write operational documentation and provide subsequent support and training for team members


  • MSc in Computer Science or related subject

  • 2 years work experience as a programmer, writing code for production

  • Experience implementing Machine Learning algorithms

  • One of: C, C++, Java, or similar

  • One of: Python, R, Matlab, or similar

  • Solid SQL skills

  • The tenacity to solve hard and diverse problems

  • The ability to quickly pick up new technologies and approaches

  • Additionally of benefit are: Ruby, Kaggle competitions, knowledge of recommender systems, Amazon AWS


Please send your CV and any additional info to

Javascript/Front-End Engineer

Interested in disrupting the trillion-pound retail industry? We’re tackling one of the hottest and most challenging problems in Machine Learning: building a personalisation system that understands fashion.

Where you can make an impact

As a Front-End Engineer, you will be building elegant and responsive UIs and working closely alongside the Engineering and Data Science teams to ship new features and products. You’ll take features all the way through from an idea to live including testing and iterating to make them better. You’ll mostly be working with libraries such as React and Redux, and React Native for mobile. We’re looking for someone who has a good understanding of the entire application stack, or a willingness to learn, and shares our passion for great user experience. Ideally you are a highly creative thinker, with strong attention to detail.


  • Write clean, well-tested code to implement new features and applications, optimising for usability and performance

  • Maintain and improve our existing products, helping to keep our technology up to date

  • Mock up new products and implementations for new clients


  • 2+ years experience

  • Solid HTML, CSS and JavaScript skills

  • Familiarity with React and React Native

  • Knowledge of responsive design and UX best practices

  • Obsessed with attention to detail

  • Willing to work closely with backend engineers and product managers to create highly polished production-ready pages and assets

  • A love for agile development and working independently on your own challenges as well as with others

  • A thirst for new skills and technologies, with an ability to pick up new things easily

  • Full of positive energy and relish the thought of being part of a small, fast-moving team


Please send examples of previous work (websites, apps, Stack Overflow and Github handles) alongside your CV and any other additional information to