Senior robotics software engineer, payload integration Work, Jobs in London, Eng (with Salaries)

Applied Scientist, Demand Tech, Amazon Ads
Amazon Development Centre (London) Limited —London
- Full-time
- Doctoral degree
- Engineering
- Master's degree
Machine Learning Engineer
Waymo —London
- £120,000 - £130,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
Optical Payload Systems Engineer
Foundational —London
- Full-time
- Hybrid work
- Engineering
- Scripting
Quick apply
Senior Applied Scientist, Insights, Prime Video
Amazon Development Centre (London) Limited —London
- Full-time
- Doctoral degree
- Engineering
- Research
AI Automation Developer
SS&C Technologies —Basildon
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Master's degree
Simulation Engineer - Manipulation
Humanoid —London
- Full-time
- Annual leave
Quick apply
Technical Product Manager
Parser Limited —London
- Full-time
- Hybrid work
- APIs
- AI
- Communication skills
Quick apply
Software Engineer - Private Cloud Compute, On-Device Client Frameworks
Apple —London
- Machine learning
- APIs
Senior Electrical Engineer
ALTEN —London
- Full-time
- Remote
- Engineering
- Master's degree
- Bachelor's degree
- Employee assistance programme
- Life insurance
Quick apply
QA Engineer
Nandos —Putney
- Full-time
- Restaurant
- Communication skills
Program Manager
ALTEN —London
- Full-time
- Remote
- Engineering
- Master's degree
- Bachelor's degree
- Employee assistance programme
- Life insurance
Quick apply
Senior Functional Safety Engineer
Humanoid —London
- Full-time
- Communication skills
- Annual leave
- Sick pay
Quick apply
Engineering Recruitment Lead (Physical AI / Humanoid Robotics)
Humanoid —London
- Full-time
- Machine learning
- Mentoring
- Recruiting
- Annual leave
Quick apply
Partner Solutions Engineer
YouLend —London
- Hybrid work
- APIs
- Communication skills
- Employee assistance programme
Quick apply
Senior Engineer, Prediction, Planning and Controls. Autonomy
Rivian —London
- Full-time
- Doctoral degree
- Computer Science
- Engineering
Mechanical & Thermal Engineer
Lúnasa —London
- Analysis skills
- In-person
- Employee assistance programme
Director of Product Management - Data Streaming
HiveMQ GmbH —London
- £120,000 - £154,000 a year
- Full-time
- Remote
- Product management
- Budgeting
Quick apply
Sr OIC Developer
Indium Software —London
- Java
- JavaScript
Operations Analyst
WallStreetDocs —London
- Full-time
- Quality control
- Agile
- Financial services
Deputy Programme Manager
ALTEN —London
- Full-time
- Remote
- Engineering
- Master's degree
- Bachelor's degree
- Employee assistance programme
- Life insurance
Quick apply

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Applied Scientist, Demand Tech, Amazon Ads

Amazon Development Centre (London) Limited -
London

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Job details

Full-time

Qualifications

Data mining
Doctoral degree
Engineering
Data structures
Master's degree
Machine learning modelling
Distributed systems
Deep learning
Software development
Data science
AI

Full job description

DESCRIPTION

In Amazon Advertising, we apply machine learning at massive scale to optimize the prediction, ranking, and bidding behind every ad — deciding, in milliseconds, which ads to show shoppers and how to value them. We're looking for an Applied Scientist to help make sure the ads shoppers see are the right ones for them. You'll work across the science of how we rank, value, and bid on ads for Amazon DSP (Amazon's Demand-Side Platform) — including how we judge whether an ad is a good fit for the page a shopper is on and for the shopper themselves.

It's high-scale, low-latency, customer-facing science: your models run live in front of millions of shoppers under tight real-time constraints. The questions are genuinely open — how do you tell whether an ad is relevant to someone, how do you balance what's good for shoppers, advertisers, and Amazon, and how do you keep getting that right as shopping behavior and inventory shift underneath you? Your work will have real impact, and you'll have room to shape where we take it.

A few things make this stand out: your models touch a huge share of the ads shoppers see every day, so even small improvements add up fast; you'll run modern ML live under strict latency limits, across regions and very different types of ad inventory; and the problem space is rich — from how we value and bid on ads, to keeping models stable as traffic shifts, to what makes an ad a good fit for a shopper.

Key job responsibilities

Design and improve the models that decide how ads are ranked, valued, and priced — including how relevant an ad is to the page and the shopper.
Apply and extend state-of-the-art techniques across e.g. ranking, deep learning, and information retrieval.
Own problems end to end: frame them, prototype, experiment, and ship them to production.
Balance competing objectives — shopper experience, advertiser and publisher value, and Amazon's business — into models that hold up across placements and marketplaces.
Communicate your work clearly to both business and science audiences, tailoring how you share it to each.
Write and ship your own production code backed by strong engineering support — we're all builders here.
Move fast with the best tools available, including modern AI coding assistants and agents.

A day in the life
You might start by digging into last week's experiment results, then use an AI coding agent to get your next prototype built and ready to test in production. In the afternoon you could be sketching a new way to measure ad relevance, reading a recent paper that bears on it, and talking it through with a senior scientist on the team. You'll move between hands-on science, writing and shipping real production code, and making the calls on your own work.

About the team
We're a group of scientists and engineers based in Edinburgh and London, working to make Amazon's ads more performant and relevant. We sit within a larger team spread primarily across New York City and the UK, and we have a broad mandate to build and experiment. You'll work alongside senior applied scientists you can learn from, with the data and infrastructure to do the work well and room to grow — with opportunities to attend top conferences (e.g., NeurIPS, KDD, ICML) and take on more scope over time.

BASIC QUALIFICATIONS

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
PhD or a Master's degree and experience in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field

PREFERRED QUALIFICATIONS

Experience in professional software development
Experience applying theoretical models in an applied environment

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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Refine Your Search

senior robotics software engineer, payload integration jobs in london, eng

Applied Scientist, Demand Tech, Amazon Ads

Machine Learning Engineer

Optical Payload Systems Engineer

Senior Applied Scientist, Insights, Prime Video

AI Automation Developer

Simulation Engineer - Manipulation

Technical Product Manager

Software Engineer - Private Cloud Compute, On-Device Client Frameworks

Senior Electrical Engineer

QA Engineer

Program Manager

Senior Functional Safety Engineer

Engineering Recruitment Lead (Physical AI / Humanoid Robotics)

Partner Solutions Engineer

Senior Engineer, Prediction, Planning and Controls. Autonomy

Mechanical & Thermal Engineer

Director of Product Management - Data Streaming

Sr OIC Developer

Operations Analyst

Deputy Programme Manager

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