Applied Scientist, Personalization

TN United Kingdom; City of Edinburgh; On-site; GBP 60,000 - 100,000; Full time

Job summary

An innovative company is seeking a Machine Learning Scientist to join their Personalization team in Edinburgh. This hands-on role involves developing cutting-edge personalized recommendation models that impact customers globally. You'll leverage advanced machine learning techniques and collaborate with a talented team to deliver high-scale, low-latency solutions. Ideal candidates will possess a strong technical background, excellent teamwork skills, and a customer-first mindset. This position offers exceptional growth opportunities, allowing you to make a significant impact in the field of machine learning and personalization.

Qualifications

• PhD or Master's in CS, CE, ML or related field required.
• Experience in patents or publications at top-tier conferences.

Responsibilities

• Develop machine learning algorithms for high-scale recommendations.
• Collaborate with engineers to integrate results into production systems.

Skills

Machine Learning

Generative AI

Data Structures

Programming in Java

Programming in Python

Data Mining

Numerical Optimization

Parallel Computing

Education

PhD in Computer Science

Master's in Computer Science

Tools

AWS

Unix/Linux

Job description

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Client:

Location:

Edinburgh, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

f1f7da48943f

Job Views:

3

Posted:

05.05.2025

Expiry Date:

19.06.2025

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Job Description:

We’re looking for a Machine Learning Scientist in the Personalization team for our Edinburgh office experienced in generative AI and large models. You will be responsible for developing and disseminating customer-facing personalized recommendation models. This is a hands-on role with global impact working with a team of world-class engineers and scientists across the Edinburgh offices and wider organization.

You will lead the design of machine learning models that scale to very large quantities of data, and serve high-scale low-latency recommendations to all customers worldwide. You will embody scientific rigor, designing and executing experiments to demonstrate the technical efficacy and business value of your methods. You will work alongside a science team to delight customers by aiding in recommendations relevancy, and raise the profile of Amazon as a global leader in machine learning and personalization.

Successful candidates will have strong technical ability, focus on customers by applying a customer-first approach, excellent teamwork and communication skills, and a motivation to achieve results in a fast-paced environment. Our position offers exceptional opportunities for every candidate to grow their technical and non-technical skills. If you are selected, you have the opportunity to make a difference to our business by designing and building state of the art machine learning systems on big data, leveraging Amazon’s vast computing resources (AWS), working on exciting and challenging projects, and delivering meaningful results to customers world-wide.
Key job responsibilities

Develop machine learning algorithms for high-scale recommendations problems.

Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative analysis and business judgement.

Collaborate with software engineers to integrate successful experimental results into large-scale, highly complex Amazon production systems capable of handling 100,000s of transactions per second at low latency.

Report results in a manner which is both statistically rigorous and compellingly relevant, exemplifying good scientific practice in a business environment.

BASIC QUALIFICATIONS

- PhD, or a Master's degree and experience in CS, CE, ML or related field
- 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
- Experience in building machine learning models for business application

PREFERRED QUALIFICATIONS

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