ASOS.com

Company Name: ASOS.com
Job Title: Senior Applied Scientist - Recommendations
Job Description: Company Description

We’re ASOS, the online retailer for fashion lovers all around the world.

We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you’re free to be your true self without judgement, and channel your creativity into a platform used by millions.

But how are we showing up? We’re proud members of Inclusive Companies, are Disability Confident Committed and have signed the Business in the Community Race at Work Charter and we placed 8th in the Inclusive Top 50 Companies Employer list.

Everyone needs some help showing up as their best self. Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you.

Job Description

We are looking for a Senior Applied Scientist, with expertise in deep learning, to join our cross-functional Search and Recommendations team to help further the success of our recommender system. Our system plays a key role in helping ASOS provide the best shopping experience to our millions of customers by surfacing the right product to the right customer at the right time, handling up to 8000 requests per second at peak in production. The whole team is responsible for the end-to-end system, and we are all accountable for making sure it performs in production, at the scale at which ASOS operates.

The role sits within the Applied Science domain, which is responsible for the algorithms that power ASOS digital ecosystem. From Recommender Systems through to forecasting models that drive key operating decisions, the teams maintain, build and innovate in some of the most interesting areas of machine learning at scale, training models on unique datasets, transactions and clickstream data.

What you’ll be doing:

You will be part of an agile, cross-functional team building and managing a large-scale recommender system, working with massive amounts of data, and delivering deep learning models into production.
You will be driving the implementation and scale-up of algorithms for measurable impact across the business and set up and conduct large-scale experiments to test hypotheses and drive product development.
You will be keeping up to date with relevant state-of-the-art research, taking part in reading groups alongside other scientists, with the opportunity to publish novel prototypes for the business at top conferences.
You will be continually developing and improving our code and technology, taking an active role in the conception of brand-new features for our millions of global customers.
You will be mentoring and coaching junior members of the team, supporting their technical progress.
You will take part in regular Tech Develops days to learn new things, take part in internal and external hackathons, and share your knowledge and help drive improvements in science and engineering.
You will support our culture by championing Diversity, Equity & Inclusion strategies.

Qualifications

About You

You are an experienced Applied Scientist with hands on experience of building recommender systems or a track record of using state of the art deep learning methods to solve complex business problems
Will have some knowledge or experience of working in retail, marketing, or the ecommerce industry. You thrive in working in a cross-functional platform, including scientists, engineers, and non-technical stakeholders.
You are comfortable working in Python software stacks and familiar with at least one deep learning framework (such as TensorFlow/Keras and PyTorch) and enjoy going from ideas and prototypes into products and applications.
You have a solid understanding of software development lifecycles and engineering practices, alongside a good understanding of ML and statistics.
You will be comfortable providing technical leadership, mentoring, and coaching to a motivated development team.
We would love to meet someone who has authored publications in top-tier machine learning conferences or journals (such as NeurIPS, ICLR, ICML, KDD, CVPR, ICCV, ECCV, ACL, EMNLP) and want to keep up to date with the state of the art.

BeneFITS’

Additional Information

Employee discount (hello ASOS discount!)
ASOS Develops (personal development opportunities across the business)
Employee sample sales
Access to a huge range of LinkedIn learning materials
25 days paid annual leave + an extra celebration day for a special moment
Discretionary bonus scheme
Private medical care scheme
Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits

Why take our word for it? Search #InsideASOS on our socials to see what life at ASOS is like.

Want to find out how we’re tech powered? Check out the ASOS Tech Podcast here https://open.spotify.com/show/6rT4V6N9C7pAXcX60kzzxo . Prefer reading? Check out our ASOS Tech Blog here https://medium.com/asos-techblog.

London, United Kingdom

Hybrid

02-04-2025

Company Name: ASOS.com
Job Title: Manager, Special Projects
Job Description: Company Description

We’re ASOS, the online retailer for fashion lovers all around the world.

We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you’re free to be your true self without judgement, and channel your creativity into a platform used by millions.

But how are we showing up? We’re proud members of Inclusive Companies, are Disability Confident Committed and have signed the Business in the Community Race at Work Charter and we placed 8th in the Inclusive Top 50 Companies Employer list.

Everyone needs some help showing up as their best self. Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you.

Job Description

About the Role

ASOS offers our fashion-loving 20-something customers a curated edit of own brands and several 3rd party brands. This helps us offer a unique portfolio of products that cater to our diverse customer base.

Join us at ASOS as the Manager, Special Projects and dive headfirst into our strategy critical initiatives. You're not just in the driver's seat; you're the engine propelling us towards fashion e-commerce excellence.

This role offers high exposure, where your insights shape ASOS' success through senior leadership interactions. You'll be in the midst of high-stakes decision-making, influencing our strategies and operations.

At its core, this role is all about strategic execution and operations through using data. You'll be exploring new horizons, delving into the most challenging and creative problems ASOS has to offer. If you're the kind of strategic-analytical powerhouse who enjoys cracking tough problems and crafting ingenious solutions, this is where you belong.

We seek an ambitious, adaptable learner to thrive in this ever-evolving landscape. ASOS is a creative fashion-tech firm, where every day brings new ideas and opportunities. Join us to define the future of fashion retail.

What you will be doing;

Build and optimise scalable processes to continue hyper growth of ASOS’ speed initiatives (e.g. ASOS Reacts, Speed to Market)
Lead and execute end-to-end core projects, working collaboratively with cross-functional teams to achieve project objectives
Leverage data analytics to uncover valuable insights that guide strategic decisions.
Translate data into actionable recommendations to enhance our products and services
Use these insights to drive improvements in our offerings
Develop key metrics and dashboards to measure success and support strategic initiatives

Qualifications

What you will need;

Experience with a tier-1 management consulting firm followed by a operational / business role in a high growth startup or a fast-paced company
Experience in executing cross-functional projects with various internal teams, such as Sales, Finance, and Product
A magic skill to break complex problems into smaller ones and enjoy working with data
Experience using data to create compelling stories, tailored to the audience, to communicate key messages across the organisation and to influence various levels of management decision making
Hands on experience with Excel and SQL
A natural curiosity and will to make an impact

Nice to have;

Strong background / education in a quantitative discipline
An interest in the fashion industry

BeneFITS’

Additional Information

Life Assurance
Private Medics
Group income protection
Pension
Staff discounts
Holiday and celebration days

Why take our word for it? Search #InsideASOS on our socials to see what life at ASOS is like.

London, United Kingdom

Hybrid

07-04-2025

Company Name: ASOS.com
Job Title: Senior Data Engineer
Job Description: Company Description

We’re ASOS, the online retailer for fashion lovers all around the world.

We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you’re free to be your true self without judgement and channel your creativity into a platform used by millions.

But how are we showing up? We’re proud members of Inclusive Companies, are Disability Confident Committed and have signed the Business in the Community Race at Work Charter and we placed 8th in the Inclusive Top 50 Companies Employer list.

Everyone needs some help showing up as their best self. Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you.

Job Description

ASOS Technology is going through an exciting period of transition towards product operating model - this includes several strategic programmes to deliver the amazing technology and business solutions to support our ambitious global growth plans. ASOS is a unique and forward-thinking company which understands the data opportunities and technology has on driving the business forward. The Digital Data Engineering team is responsible for providing high quality, scalable data solutions across the ASOS Digital Domain, advocating best practices, modern technologies and educating development teams. As a Data Engineer, you'll be hands-on delivering business critical projects and processes, helping the digital platforms to fully take advantage of their data while ensuring continuous product improvement, best practices usage and ongoing development of engineers through pairing. From problem solving to new concept ideas, you have the genuine opportunity to unleash your full potential and creativity on a variety of ASOS Data engineering projects

What you’ll be doing:

Developing solutions using Microsoft Azure and Databricks to the highest standard in a way that favours a simple and maintainable approach over a complex one, is tested at every step on the path to production, using the appropriate tools and practices, is deployable using automated tooling only, and is suitably instrumented to meet core operational and business monitoring needs.
Optimising Data pipelines, frameworks, and systems to facilitate easier development of data artifacts.
Supporting production applications such as Data Pipelines, Core data infrastructure etc.
Developing proof of concepts by exploring innovative ways to utilise our data and presenting findings to Product teams. This also involves conducting feasibility tests—such as performance evaluations, data modelling, cost analysis and etc
Working with engineering team leads and Product managers to set and maintain standards and development practices that promote high delivery cadence without impeding robust, scalable, and quality solutions.
Working with an agile, cross functional team, taking responsibility for the engineering team deliverables and quality.
Keep up to date with emerging data technologies and industry trends with a view to bringing business value through early adoption.
Building strong and productive relationships across business, science, analytics, and engineering partners.

Qualifications

Key Skills and Experience

Essential

Previous experience in a Data Engineering role:

We're looking to meet experienced Data Engineers who live and breathe Data, who seek to take this best practice and use it in a dynamic environment while making waves in the industry.
In-depth knowledge in most of the following technologies: o Proficient in Spark/PySpark with hands-on experience. o Azure data related technologies such as Azure Databricks, Azure Data Factory, Azure Event Hubs and Azure Service Bus. o Solid programming skills in Python or Scala, and strong command of SQL. o Experience with testing frameworks like pytest, ScalaTest, or similar. o Open table formats such as Delta, Iceberg or Apache Hudi. o Experience in leveraging CI/CD workflows to automate the building, testing, publishing, releasing, and deployment of code using tools like Azure DevOps, GitHub Actions, and distributed version control systems such as GIT. o Understanding of cloud infrastructure and Infrastructure as code (Terraform or Bicep)
Excellent communication skills.
Good analytical and problem-solving skills.
Broad expertise in the delivery of data product solutions.
Commitment to provide a high level of customer service to internal and external users.
Proven experience in the successful delivery and ongoing maintenance of complex, high volume, high performing, and high-quality software systems.
Experience of implementing/supporting cloud-based solutions.
Familiarity with agile methodologies, such as Scrum or Kanban.

Nice to Have

Experience in retail and/or e-commerce.
Understanding of Big Data and Distributed Computing.
Understanding of streaming technologies (Spark Structured streaming, Apache Flink, etc)
Other programming languages: PowerShell, Bash.
Understanding of Databricks Ecosystem (Unity Catalog, Workflows, Delta Live Tables).
Understanding of any Data Observability or Data Quality Framework.

Additional Information

What's in it for you?

Competitive salary, pension, and private medical care scheme
Performance related bonus
Flex benefits allowance - which you can chose to take as extra cash, or use towards other benefits
25 days paid annual leave + an extra day for your birthday
Employee discount (hello ASOS discount!)
Tech Develops - our internal tech focussed skills development programme to focus on your personal growth as a technologist
Opportunity to represent ASOS at industry leading events
Opportunity to help shape and drive our DE&I initiatives in Tech (like our WIT movement and Diversity mentoring in Tech)
Opportunity to make an impact from day one and work with the latest in cutting edge of technology

London, United Kingdom

Hybrid

14-04-2025

Company Name: ASOS.com
Job Title: Machine Learning Engineer
Job Description: Company Description

We’re ASOS, the online retailer for fashion lovers all around the world.

We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you’re free to be your true self without judgement, and channel your creativity into a platform used by millions.

But how are we showing up? We’re proud members of Inclusive Companies, are Disability Confident Committed and have signed the Business in the Community Race at Work Charter and we placed 8th in the Inclusive Top 50 Companies Employer list.

Everyone needs some help showing up as their best self. Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you.

Job Description

The role sits within the Machine Learning domain, which is responsible for the algorithms that power ASOS digital ecosystem. The current focuses of these teams are Forecasting, Recommendations and Search, Marketing and Customer and Pricing, however we are actively exploring new problem spaces.

We are looking for a Machine Learning Engineer, with expertise in deep learning, to join our cross-functional AI teams.

You will work alongside data engineers and scientists to solve problems and productionise interesting solutions that leverage cutting edge tech. At ASOS, as an online only retailer, we have unique datasets like transactions and click streams for millions of customers and hundreds of thousands of products.

What you’ll be doing:

You will be part of an agile, cross-functional team building and improving our algorithms.
You will be working alongside scientists in driving the implementation and deployment of at-scale solutions for our hundreds of millions of customers/products, creating measurable impact across the business.
You will be deploying batch and online machine learning models at high scale.
You will be continually developing and improving our code and technology, taking an active role in the conception of brand-new features.
You will contribute to the team's technical direction, contribute to ML standards, and drive quality across ASOS's ML community, while sharing expertise gained from the team.

Qualifications

About You

You have professional experience in machine learning with experience in deep learning methods and their practical applications in production environments.
You have working knowledge of ML frameworks (e.g., scikit-learn, lightGBM, PyTorch, TensorFlow) and experience with model deployment.
You have experience training ML models, with interest in learning advanced distributed computing techniques and parallelization strategies.
You have strong understanding of software development lifecycles and engineering practices (Data pipelines, CI/CD, containerisation, observability) - specifically ML Ops principles, techniques and tooling.
You are a self-starter with a strong desire to learn and grow professionally.
You have excellent communication skills and enjoy collaborating with diverse teams.

Additional Information

BeneFITS’

Employee discount (hello ASOS discount!)
ASOS Develops (personal development opportunities across the business)
Employee sample sales
Access to a huge range of LinkedIn learning materials
25 days paid annual leave + an extra celebration day for a special moment
Discretionary bonus scheme
Private medical care scheme
Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits

Why take our word for it? Search #InsideASOS on our socials to see what life at ASOS is like.

Want to find out how we’re tech powered? Check out the ASOS Tech Podcast here https://open.spotify.com/show/6rT4V6N9C7pAXcX60kzzxo. Prefer reading? Check out our ASOS Tech Blog here https://medium.com/asos-techblog.

London, United Kingdom

Hybrid

14-04-2025

About the Company

Listed Jobs