Working at Dressipi

Dressipi is passionate about leading the way in ‘true personalisation’. Since our launch in 2011, over 5 million shoppers and many leading retailers use our personalisation technology to help customers find the right products that they will love and keep.

We’re a small team making a big impact. Multi award winning and recently named one of Britain’s fastest growing Top Tech firms, we started our journey in retail where the challenges for excellent personalisation are huge. It's safe to say we have big ambitions.

If you are genuinely excited by being part of a team focused on cracking the personalisation challenge, we would love to hear from you.

Join our team

We can’t promise arcade machines or swimming pools on rooftops, but we think that what we can offer is pretty fantastic:

Be part of a high quality team

Become a member of one of the top start up teams in the UK, working alongside people who really care about what they do. Together, we tackle difficult data and software problems by embracing pragmatism and ingenuity.

Have an impact

We are a smallish team and everyone’s contribution really matters. We want everyone to feel supported, valued and have ownership over what they are working on.

Make a difference

Be part of building an exciting product that millions of people are using and appreciating every day. Your work helps customers make better purchasing decisions and feel more confident about themselves. We are a customer first business aspiring to solve customer needs and problems.

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.

Celebrate the small things

We are an open, friendly and relaxed group of people who like to celebrate our weekly accomplishments with a desk beer (or two) every Friday. Free style advice is also always at hand if you want/need it!

Open Positions

  1. Software Engineer
  2. Data Scientist

Software Engineer

Software Engineer

We’re seeking a mid to senior level engineer to join our smallish team building web applications that provide highly personalised product recommendations. You’ll be working on projects for some of the most successful high street retailers including Topshop, John Lewis, Marks & Spencer, the Shop Direct Group – including a ‘retail first’ project that is taking personalisation offline into stores. The role is broad, from our outfit creation algorithms to designing multi-region deployment strategies.

Where You Can Make An Impact

You’ll chiefly be working on the apis and backend technology that support these customer facing applications. You’ll also be supporting the front end developers who consume these apis – experience with front-end technologies such as JavaScript/Backbone/React/React-Native is a bonus.

You'll be involved from the earliest stage of a feature: discussing the underlying problem or consumer need with our stylists or product owners before designing a solution and implementing it.

The majority of our work takes place on a set of rails apps (currently all on rails 4.2 & ruby 2.2), with data stored in Elasticsearch, MySQL and MongoDB and hosted on AWS, but we are open to expanding our toolchain when needed

You Will Have

  1. An interest in solving hard and diverse problems
  2. The will and ability to pick up new technologies as required
  3. Interest in building web applications capable of servicing millions of users
  4. Good working knowledge of at least some of the technologies we use

Sounds like you?

Please send your CV and any relevant examples of previous work (eg: websites, apps, Stack Overflow or Github profile) alongside your CV and any other info to

Data Scientist

Data Scientist

We are looking for a data scientist to gain insights from the diverse sets of data that are available to us and help us make our recommendations even more relevant and accurate.

Where You Can Make An Impact

You will be working hands-on with a rich variety of data: developing algorithms, running experiments and presenting findings to stakeholders to help the business make data-driven decisions. You will come up with and apply statistical, data-mining and/or machine learning techniques for a variety of modeling and relevance problems involving customers, their relationships and their fashion preferences.

The kinds of tasks you will be tackling could be to cluster users based on their Fashion Fingerprint, find a way identify which data points are more predictive than others, or to statistically analyse the purchasing and browsing behaviour of a demographic of users to create valuable insights.

Your goal will be to find useful patterns in the data, turn them into actionable conclusions and develop algorithms that can exploit them. Most of the data that you will be working with lives in our PostgreSQL data warehouse, and we use Tableau for visualisation and dashboards.

You Will Have

  1. PhD and/or work experience in a research/data/stats position
  2. Experience applying machine learning approaches to real world problems
  3. A scientific mindset
  4. An obsession with data
  5. Solid SQL skills and a scripting/programming language such as Python/R/Java/C
  6. The interest and tenacity to solve hard and diverse problems
  7. The will and ability to pick up new technologies and approaches as required
  8. Additionally of benefit are: knowledge of recommender systems, ability to write production-quality code, mongodb, Ruby

Sounds like you?

Please send your CV and any other relevant information (website, LinkedIn, kaggle, etc) to