Applied Scientist

ASOS.com; London; On-site; GBP 50,000 - 90,000; Full time

Job summary

An innovative online retailer is seeking an Applied Scientist to join their dynamic machine learning team. In this role, you will tackle large-scale, real-world challenges and contribute to projects that enhance customer experiences. Collaborating with cross-functional teams, you will design and deploy impactful machine learning systems, validate models, and drive improvements in code quality. This forward-thinking company values creativity and diversity, offering a supportive environment for professional growth and personal development. If you are passionate about research and innovation, this opportunity is perfect for you to make a difference.

Benefits

Competitive Compensation

Performance-Related Bonuses

Professional Development Support

Generous Paid Leave

Flexible Benefits Allowance

Access to Learning Resources

Employee Perks

Wellness Support Options

Qualifications

• Experience applying machine learning in production environments.
• Proficiency in programming languages used in machine learning.

Responsibilities

• Collaborate to develop and deploy large-scale machine learning systems.
• Lead implementation and scaling of algorithms with business impact.

Skills

Machine Learning

Deep Learning

Statistical Methods

Programming Languages

Collaboration Skills

Tools

Machine Learning Frameworks

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.

We’re proud members of Inclusive Companies, are Disability Confident Committed, and have signed the Business in the Community Race at Work Charter. 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 seeking an Applied Scientist to join a collaborative machine learning product team focused on delivering innovative solutions that enhance the customer experience. This role offers the opportunity to work on large-scale, real-world problems and contribute to impactful projects across key business areas.

The position is part of a broader Applied Science function that designs and maintains algorithms supporting various operational and customer-facing domains. These include recommendations, search, marketing, pricing, and forecasting, with the scope continuously evolving to address new challenges. The team builds machine learning models at scale, drawing on rich data sources to drive meaningful outcomes.

Key Responsibilities

• Collaborate within a cross-functional team to develop and deploy large-scale machine learning systems.
• Lead the implementation and scaling of algorithms with measurable business impact.
• Design and conduct experiments to validate models and inform product direction.
• Stay current with developments in the field through research, reading groups, and prototype testing.
• Contribute to ongoing improvements in code quality, infrastructure, and feature development.
• Participate in learning opportunities, knowledge-sharing sessions, and technical events.
• Promote diversity, equity, and inclusion in both team culture and work practices.

Qualifications

About You

• Demonstrated experience applying machine learning in production environments.
• Relevant experience could include deep learning, forecasting, optimization, recommender systems, causal inference, or Bayesian methods, depending on the team's focus.
• Proficiency in programming languages used in machine learning and familiarity with common frameworks.
• Solid grasp of statistical methods and software development best practices.
• Ability to work independently, manage timelines, and deliver prototypes or models aligned with business needs.
• Strong collaboration skills and comfort working across technical and non-technical roles.
• An interest in research and innovation, with any publications in reputable machine learning venues considered a plus.

Additional Information

Benefits

• Competitive compensation and performance-related bonuses
• Professional development and career growth support
• Generous paid leave, including additional personal celebration days
• Flexible benefits allowance
• Access to learning resources and internal knowledge-sharing events
• Employee perks and wellness support options