ASOS.com

About the Company

We exist to give people 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 judgment, and channel your creativity into a platform used by millions.

Whatever your role, ASOS will encourage you to be you, fulfilling your creative potential with our global reach. Push boundaries, and challenge expectations. We’re determined to succeed, so we’ll trust you to deliver. Help drive our journey to becoming the global fashion destination for 20-somethings

At ASOS our 3,000+ employees are immersed in the creative worlds and have a truly entrepreneurial attitude. Our ASOSers are authentic, brave, creative and disciplined to the core and find ways to blend our passion for fashion with cutting edge technology.

Sound up your street? Join us.

Listed Jobs

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

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

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 causal algorithms for the pricing and customer targeting space.
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., PyTorch, TensorFlow) and experience with model deployment.
You have experience with GPU-based model training, 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

07-03-2025

Company Name

ASOS.com

Job Title

Senior Applied Scientist - 12 month FTC

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 AI Trade Optimisation team. We build algorithms and machine learning systems for pricing, customer targeting, and product understanding. To do so, we are able to leverage unique datasets of transactions and click streams for millions of ASOS customers and hundreds of thousands of products.

What you’ll be doing:

You will be part of an agile, cross-functional team to build causal algorithms for the pricing, forecasting and customer targeting space.
You will personally drive the design and implementation of algorithms that create measurable impact across the business. You will work independently to conduct R&D, lead stakeholder conversations, and conduct large-scale experiments to test hypotheses and drive product development.
You will write production grade code, and contribute to the continual development and improvement of our codebases and technology, following best practices regarding MLOps.
You will keep 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 mentoring and coaching junior members of the team, supporting their technical progress.


Qualifications

About You

You have professional experience in machine learning and their practical applications in production environments. You are familiar with statistics, regression and ensemble methods, and have particular expertise with deep learning. Expertise and exposure to optimization, causal methods or reinforcement learning are a plus.
You are comfortable working in Python and familiar with at least one deep learning framework (e.g., PyTorch, TensorFlow). Experience with distributed computing frameworks (e.g., Horovod, DeepSpeed) for training deep learning models is a plus.
You have a solid understanding of software development lifecycles and engineering practices (including version control, data pipelines, CI/CD), and are able to write production-grade code.
You are able to work independently to manage projects and deliver prototypes against a timeline. You also have experience managing non-technical business stakeholders and working collaboratively with other machine learning professionals.
We are keen to speak to people who are comfortable with R&D, and would love to meet someone who has authored publications in top-tier machine learning conferences or journals (e.g. NeurIPS, ICLR, ICML, KDD, CVPR, ICCV, ECCV, ACL, EMNLP).


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

10-03-2025

Company Name

ASOS.com

Job Title

SOC 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

We're looking to hire a Security Operations Engineer to enhance our security operations and ensure robust protection against sophisticated threats. This role will report into the SOC and IR Manager, this role is crucial for maintaining our Security Operations as a high-performing and resilient. You will be refining our SOC capabilities by monitoring network traffic, automating processes, analysing security incidents, manage security tools, and providing expertise to Security Specialists and SOC analysts. As the SOC Engineer you will collaborate with cross-functional teams to build defences, respond to incidents, and design strategies for robust cybersecurity posture. You will enhance SOC capabilities with cutting-edge technologies and automation tools. Collaborating with industry experts in cloud security, fraud prevention, and data analytics, and experimenting with SIEM, SOAR, EDR, and cloud-native security technologies.

The role will involve the following:

Security Engineering & Automation: Drive improvements in SOC workflows, automating enrichment processes using SOAR and automation tools, and developing playbooks for more efficient alert handling. Oversee the deployment, configuration, and tuning of SOC related security tools to enhance detection accuracy, reduce false positives, and manage end-to-end EDR operations.
Cloud Security Monitoring: Analyse and manage security logs through the SIEM
Security Monitoring & Threat Detection: Continuously monitor security alerts, events, and IoCs across all platforms. You’ll build and deploy queries and scripts, and create dashboards and workflows to enhance visibility and reporting
Proactive Threat Hunting: Develop and implement threat hunting procedures to proactively identify potential risks and vulnerabilities before they escalate.
Incident Response: Enhance the IRP and Coordinate with the SOC team and cross-functional teams during the incident response lifecycle, focusing on containment, eradication, recovery, and post-incident analysis.


Qualifications

About you:

Experience in SOC or incident response roles, with hands-on experience in threat detection and mitigation.
Technical Skills: Strong capability in threat detection, incident response, and analysis of complex attack patterns, with a focus on the Cloud environment. Skilled in writing SIEM queries, alerts, and dashboards.
Scripting & Automation: Knowledge of scripting languages such as Python, SQL, or Bash to automate SOC workflows.
EDR SOAR: Hands-on experience managing SOAR platforms such as Google Chronicle, Swimlane, Cortex XSOAR etc.
EDR Expertise: Hands-on experience managing EDR tools, including end-to-end operations from deployment and configuration to analysis and response.


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

12-03-2025

Company Name

ASOS.com

Job Title

Senior Insight Analyst - Global

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

As the Senior Analyst working in our Global Commerce & Channels function you will be responsible for surfacing insight relating to our market strategies and trading dynamics. The focus point for this role is understanding performance dynamics within our key markets across customers, products, marketing, as well as the onsite experience. Over time, you may move on to other priorities such as, width and depth optimisation, price point analysis, digital trading dynamics or customer behaviour trends.

The Details

Interrogate internal and external data to surface holistic insight relating to performance drivers at market level, drawing out opportunities and risks and resulting actions for the business
Measurement and analysis of our core trading KPIs such as visits, conversion, customers and our product offering and pricing
Provide an end-to-end understanding into why purchased items are returned, both at a customer and product level.
Deep understanding of our market intelligence toolset and utilising this data to gain understanding of how competitor and market dynamics impact our own performance
Work with senior leadership in function to develop market strategies balancing growth and profitability
Tell compelling, data led stories to highlight these opportunities and be comfortable presenting these to senior management
Act as a data champion within the function, working with the teams to upskill and educate on data and insight
Work closely with business stakeholders like the product and marketing teams to gain deep understanding of business processes and decisions which impact market and trade performance
Work closely with finance to ensure you understand how we measure and forecast market performance
Build and maintain a network across the wider data teams, especially insight analysts, the AI team and data services to drive knowledge and capability sharing
Supporting our culture by championing Diversity, Equity & Inclusion strategies.


Qualifications

About You

Experience working in an insight role focussing on market or retail insight, preferably within the e-commerce space
Strong SQL and Adobe skills, experience within advanced analytics
Strong story telling skills and a proven track record of shaping business decisions through insight
Highly numerate and strong attention to detail
Passion for problem solving
Proactive approach and enthusiasm for sharing ideas and driving them forward
Able to communicate information clearly and concisely
Good project management skills, able to handle multiple tasks and manage priorities as needed


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.

London, United Kingdom

Hybrid

12-03-2025