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 one-one 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.

Technical Lead - Performance 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 Technical Lead/Performance 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

Data Scientist

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, data mining and statistical modelling are the keystones to predict customer behavior and intent, analyse which clothes will look great on a customer and answer questions through Amiya (our new chatbot).

As a Data Scientist in the Dressipi team, you will be responsible for designing and improving our recommendation algorithms and models. Your work will directly impact end consumers in the form of personalising shopping journeys and communications, both instore and online.

We are looking for people that are passionate about data and have the love and tenacity for solving hard and diverse problems.

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

  • 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

  • Build scalable, statistical models that learn from large volumes of data

  • Build and release models that elevate the customer experience and track impact over time

  • Carry out regular as well as deep-dive data mining and interpret the results

  • Define metrics, understand A/B testing and statistical measurement of model quality

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

  • Monitor and test data quality and integrity throughout all stages of acquisition and processing

  • Translate business goals to data questions and solve them

  • Collaborate with colleagues from engineering, retail and business backgrounds.

  • Present proposals and results in a clear manner backed by data and coupled with actionable conclusions

Requirements

  • Masters or PhD in a relevant field (computer science, data mining, machine learning, statistics, math, engineering) etc.

  • Solid SQL skills and a scripting/programming language such as Python/R/Java/C

  • Experience with statistical modelling/machine learning

  • Track record of diving into data to discover hidden patterns

  • Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations

  • Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.

  • The creativity and 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

  • Strong attention to detail

Desired

  • 2 or more years of industry experience

  • Additionally of benefit are: knowledge of recommender systems, ability to write production-quality code, mongodb, Ruby

Interested?

Please send your CV and any additional info 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