Applied Scientist, ATS Machine Learning & Engineering

TN United Kingdom; London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading company in the transportation sector seeks an Applied Scientist to develop cutting-edge machine learning systems. This role involves research and development of algorithms that enhance planning systems and improve customer experience. Candidates should have a strong academic background and experience in machine learning and programming languages. Join us to make a significant impact on global delivery networks.

Qualifications

• Experience in building models for business applications.
• Experience in patents or publications at top-tier conferences.

Responsibilities

• Develop and research machine learning solutions for planning systems.
• Impact the future of Amazon's delivery network.

Skills

Machine Learning

Natural Language Processing

Time Series Forecasting

Optimization

Education

PhD in Computer Science

Master's degree in Computer Science

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:

3

Posted:

17.05.2025

Expiry Date:

01.07.2025

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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