Applied Scientist, ATS Machine Learning & Engineering

Amazon UK Services Ltd.; London; On-site; GBP 50,000 - 90,000; Full time

Job summary

Amazon UK Services Ltd. seeks a Machine Learning Scientist to join their Transportation Services team in London. The role involves developing innovative machine learning models to optimize logistics and improve customer service, contributing to sustainability goals. Candidates should have exceptional programming and analytical skills with a strong academic background in machine learning or related fields.

Qualifications

• PhD or Master's degree with experience in machine learning.
• Experience in building models for business applications.
• Proven history of patents or publications at top-tier conferences.

Responsibilities

• Develop and research machine learning solutions and algorithms.
• Impact the future of Amazon's delivery network.
• Integrate algorithms with complex logistical systems.

Skills

Machine Learning

Natural Language Processing

Time Series Forecasting

Optimization

Algorithms and Data Structures

Data Mining

Education

PhD or Master's degree in CS, CE, ML or related field

Tools

Java

C++

Python

Unix/Linux

Job description

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Applied Scientist, ATS Machine Learning & Engineering, London

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Client:

Amazon UK Services Ltd.

Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

5fd9c9834f80

Job Views:

14

Posted:

22.06.2025

Expiry Date:

06.08.2025

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Job Description:

Are you interested in building state-of-the-art machine learning systems for the most complex, and fastest growing, transportation network in the world? If so, Amazon has the most exciting, and never-before-seen, challenges at this scale (including those in sustainability, e.g. how to reach net zero carbon by 2040).

Amazon’s transportation systems get millions of packages to customers worldwide faster and cheaper while providing world class customer experience – from online checkout, to shipment planning, fulfillment, and delivery. Our software systems include services that use tens of thousands of signals every second to make business decisions impacting billions of dollars a year, that integrate with a network of small and large carriers worldwide, that manage business rules for millions of unique products, and that improve experience of over hundreds of millions of online shoppers.

As part of this team you will focus on the development and research of machine learning solutions and algorithms for core planning systems, as well as for other applications within Amazon Transportation Services, and impact the future of the Amazon delivery network. Current research and areas of work within our team include machine learning forecast, uncertainty quantification, planning systems, model interpretability, graph neural nets, among others.

We are looking for a Machine Learning Scientist with a strong academic background in the areas of machine learning, natural language processing, time series forecasting, and/or optimization.

At Amazon, we strive to continue being the most customer-centric company on earth. To stay there and continue improving, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, and deliver in the most efficient and greenest way possible, this is your chance to make history.

About the team
EU STEP brings together Supply Chain, Network Design, and Transportation Planning teams to improve end-to-end forecasting, network flow, planning, and execution. It also brings together our teams from across the business focused on our Operational Excellence pillars - Amazon Customer Excellence Systems (ACES), Learning, Quality, Service, Sustainability and Reliability Maintenance Engineering (RME) Field teams. This integration strengthens operations and execution while driving quality improvements and enhanced customer experience across the entire value chain.

BASIC QUALIFICATIONS

- PhD, or a Master's degree and experience in CS, CE, ML or related field
- Experience in building models for business application
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

PREFERRED QUALIFICATIONS

- Experience using Unix/Linux
- Experience in professional software development