Applied Scientist

TN United Kingdom; London; On-site; GBP 45,000 - 85,000; Full time

Job summary

Join a forward-thinking company as an Applied Scientist, where you will work on cutting-edge machine learning technologies to enhance the shopping experience for millions. Collaborating within agile teams, you will develop and scale algorithms, conduct large-scale experiments, and innovate features that impact global customers. This role offers the chance to engage in research, publish your findings at top conferences, and contribute to a culture of diversity and inclusion. If you are passionate about machine learning and eager to make a difference, this opportunity is perfect for you.

Benefits

Employee discount

Personal development opportunities

Employee sample sales

Access to LinkedIn learning materials

25 days paid annual leave

Discretionary bonus scheme

Private medical care scheme

Flexible benefits allowance

Qualifications

• Experience in machine learning applications in production environments.
• Proficient in Python and familiar with deep learning frameworks.

Responsibilities

• Build and manage large-scale machine learning systems with massive data.
• Drive implementation of algorithms for measurable business impact.

Skills

Machine Learning

Python

Deep Learning

Bayesian Statistics

Causal Methods

Optimization

Recommender Systems

Software Development Lifecycle

Tools

PyTorch

TensorFlow

Job description

We are looking for an Applied Scientist to join one of our machine learning product teams and play a key role in helping ASOS provide the best shopping experience to our millions of customers. The role offers broad exposure to machine learning technologies at ASOS, requiring innovative solutions and close collaboration with business domains.

The role sits within the Applied Science domain, which is responsible for the algorithms that power the ASOS digital ecosystem. The current focuses of these teams are Recommendations and Search, Marketing and Customer, Pricing and Forecasting; however, we are actively exploring new problem spaces. Each one of these teams drives key operating decisions. Our 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 large-scale machine learning systems, working with massive amounts of data, and delivering 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 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.

About You

• You have professional experience in machine learning and their practical applications in production environments.
• Depending on the team, we might expect you to have expertise in Bayesian statistics, deep learning, forecasting, causal methods, optimization, and recommender systems.
• You are comfortable working in Python and familiar with at least one deep learning framework (e.g., PyTorch, TensorFlow).
• You have a solid understanding of software development lifecycles and engineering practices, alongside a good understanding of ML and statistics.
• You can work independently to manage projects and deliver prototypes against a timeline.
• The ability to work collaboratively and proactively in a fast-paced environment alongside both scientists, engineers, and non-technical stakeholders.
• 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).

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 ASOS Tech Podcast. Prefer reading? Check out our ASOS Tech Blog here ASOS Tech Blog.

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Created on 05/04/2025 by TN United Kingdom