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, Shop Direct and others.

Join our Team

Multi award winning and working on ground-breaking technology which is having a real impact we think 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 and 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 jobs@dressipi.com.

Data Engineer

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

Where you can make an impact?

As a Data Engineer in the Dressipi team, you will be working closely with the Data Science and Recommendations teams, helping them implement and deploy algorithms in a scalable manner. You’ll proactively monitor the performance of our infrastructure, data architecture and deployment processes and design and implement improvements to them.

Our current stack comprises Ruby, Python, Java and a small amount of rust and utilises a wide range of AWS services. We’re always interested in trying new technologies or approaches.

We are looking for a versatile person who can display leader qualities and is enthusiastic to tackle new problems across the both the data architecture and infrastructure areas as we continue to push our technology forward.

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.

Responsibilities

  • Work with engineers to improve the efficiency of data queries and infrastructure for both offline and online use cases

  • Pinpoint and help resolve bottlenecks and inefficiencies across infrastructure, queries, implementation and algorithms.

  • Recommend and guide changes to infrastructure, choice of datastores, data architecture, deployment processes

  • Monitor performance of infrastructure to catch issues before they become a problem

  • Collaborate with colleagues from data science and engineering backgrounds

Requirements

  • Bachelor’s, Master’s or PhD in a relevant field (computer science, data mining, machine learning, statistics, math, engineering)

  • Track record of identifying, diagnosing and resolving performance inefficiencies

  • Solid SQL knowledge

  • Experience with AWS services such as EC2, Cloudformation, RDS, Cloudwatch

  • Track record of automating and maintaining infrastructure

  • The tenacity to solve hard and diverse problems

  • The will and ability to pick up new technologies and approaches as required

  • Comfortable working in a fast paced, highly collaborative work environment

Desired

  • 2 or more years of industry experience

  • Knowledge of postgres, redshift

  • Experience with ETL processes

  • Experience with ruby, python

  • Worked with recommender systems

  • Experience with deployment automation & devops (packer, chef etc.)

Interested?

Please send your CV and any other additional information to jobs@dressipi.com

Junior Machine Learning 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

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 Junior Machine Learning Engineer who is passionate, prepared to learn new skills and can collaborate closely with Engineers and 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 instore 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.

Responsibilities

  • Work closely with Data Science and Engineering 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

  • Understand and leverage crowdsourcing and human computation approaches to data labeling

Requirements

  • MSc in Computer Science or related subject, or equivalent work experience

  • One of: C, C++, Java, or similar

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

  • Solid SQL skills including query optimisation

  • A keen interest in Machine Learning algorithms

  • The ability to quickly pick up new technologies and approaches

Desired

  • Ruby

  • Ability to write production-quality code

  • Amazon AWS (EC2 etc.)

  • Kaggle competitions, having used machine learning libraries, knowledge of recommender systems

Interested?

Please send your CV and any additional info to jobs@dressipi.com

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 be working with Haml. Sass and JavaScript in our Rails apps, as well as with JavaScript 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.

Responsibilities

  • Work with a product manager to create rapid prototypes to quickly visualise and test new features

  • Write clean, well-tested code to implement new features on the front end, 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

Requirements

  • Solid HTML, CSS and JavaScript skills

  • Familiarity with JavaScript libraries such as React

  • 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

Desired

  • We are keen to chat to fast learners from little to up to 2 years industry experience

Interested?

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