Llm, alexa Work, Jobs in Cambridge, Eng (with Salaries)

Applied Scientist - LLM, Alexa
Evi Technologies Limited —Cambridge
- Full-time
- Doctoral degree
- Java
- Master's degree
Agentic AI Engineer (life sciences)
Healx —Cambridge
- Full-time
- Hybrid work
- Master's degree
- Machine learning
- APIs
- Annual leave
- Work from home
Quick apply
Deputy Development Director
Fitzwilliam College —Cambridge
- Full-time
- Microsoft Office
- Master's degree
- Project management
- Free parking
- Annual leave
9d
Staff AI Platform Engineer
Altos Labs —Cambridge
- £97,300 - £128,000 a year
- Computer Science
- Master's degree
- AWS
CAD Physical Design Engineer
Apple —Cambridge
- Computer Science
- Engineering
- Master's degree
Sr. Applied Scientist, Alexa International
Amazon UK Services Ltd. —Cambridge
- Full-time
- Doctoral degree
- Java
- Master's degree
Developer (Full Stack, Cloud, AI and Platform Delivery)
Hexcel Corporation —Duxford
- Full-time
- Azure
- Master's degree
- APIs
Senior AI Engineer (Full Stack)
Abcam —Cambridge
- Full-time
- Master's degree
- Machine learning
- APIs
- Annual leave
9d
Go-To-Market (GTM) Engineer / Revenue Operations
Abselion —Cambridge
- £40,000 - £60,000 a year
- Full-time
- Microsoft Outlook
- Sales
- SQL
Embedded Engineer
TidalSense —Cambridge
- £40,000 - £55,000 a year
- Full-time
- Hybrid work
- Engineering
- Data analysis skills
- C++
- Annual leave
- Flexible schedule
Quick apply
Senior Software Engineer, Foundry
Redgate —Cambridge
- £55,000 - £80,000 a year
- Full-time
- Hybrid work
- Heavy lifting
- Master's degree
- Machine learning
- Annual leave
13d
Principal Software Security Engineer
Arm —Cambridge
- £126,200 - £170,800 a year
- Hybrid work
- Master's degree
- IT
- AI
11d
Applied Scientist, Silicon and Systems Group Edge AI
Evi Technologies Limited —Cambridge
- Full-time
- Doctoral degree
- Java
- Master's degree
Senior Software Engineer (vLLM)
CommonAI C.I.C. —Cambridge
- Full-time
- Master's degree
- C++
- Bachelor's degree
Quick apply
Senior Researcher - AI Computer Architecture
Microsoft —Cambridge
- £74,700 - £122,600 a year
- Full-time
- Doctoral degree
- Engineering
- English
Senior Software Engineer - AI Tooling
Arm —Cambridge
- £73,500 - £99,500 a year
- Hybrid work
- DevOps
- Master's degree
- AWS
Sr Staff AI Software Development Engineer
Renesas Electronics —Cambridge
- Full-time
- Hybrid work
- Azure
- Management
- Doctoral degree
- Annual leave
- Life insurance
Quick apply
Foundation Model Engineer
CommonAI C.I.C. —Cambridge
- Full-time
- Hybrid work
- Master's degree
- Maths
- Machine learning
Quick apply
Senior Machine Learning Scientist
Flagship Pioneering, Inc. —Cambridge
- Doctoral degree
- Master's degree
- Machine learning
11d
(UK)Principal Engineer - Test
Codvo.ai —Cambridge
- Azure
- Product management
- APIs

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llm, alexa jobs near cambridge, eng

Applied Scientist - LLM, Alexa

Evi Technologies Limited -
Cambridge

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Job details

Full-time

Qualifications

Data mining
Law
Doctoral degree
Data structures
Java
Master's degree
C++
Machine learning
Distributed systems
Natural language processing
Python

Full job description

DESCRIPTION

Alexa is looking for an Applied Scientist with a strong background in Natural Language Processing (NLP) and Large Language Models (LLMs) to help build state-of-the-art conversational systems.

In this role, you will collaborate with a large team of scientists training the Large Language Models that power the Alexa stack, as well as software engineers serving them in production systems. You will own solutions end-to-end: from ideation and research through to production deployment, enabling conversational assistants to support external tools, leverage diverse sources of information, and deliver novel reasoning capabilities to millions of Alexa customers.

Key job responsibilities
As an Applied Scientist, you will develop innovative solutions to complex problems to extend the functionalities of conversational assistants.

You will use your technical expertise to research and implement novel algorithms and modelling solutions in collaboration with other scientists and engineers.

You will analyze customer behaviors and define metrics to enable the identification of actionable insights and measure improvements in customer experience.

You will communicate results and insights to both technical and non-technical audiences through written reports, presentations and external publications.

You would be able to bi-modal on science and engineering: someone who combines strong scientific foundations with the execution skills to ship high-quality solutions.

A day in the life
As an Applied Scientist on the Alexa Science team, you'll drive innovation in evaluating new product experiences while discovering novel approaches to enhance model capabilities and enrich customer interactions. You'll collaborate with cross-functional teams of engineers and scientists to identify root causes of model and system integration issues, continuously improving the end-to-end customer experience.

You'll partner closely with scientists developing and fine-tuning large language models, engineers building low-latency inference infrastructure, and product teams defining customer experience metrics.

About the team
We are a team of applied scientists and engineers building the intelligence layer that powers Alexa+. Our work sits at the intersection of large language models, decision-making under uncertainty, and production ML systems. What we build directly shapes the customer experience: determining which models serve their requests, optimizing response latency, and creating natural, seamless interactions.

We're a collaborative team that values rigorous experimentation, clear communication, and delivering solutions that perform at scale in real-world environments.

BASIC QUALIFICATIONS

PhD, or a Master's degree and experience in CS, CE, ML or related field
Experience programming in Java, C++, Python or related language
Experience in building machine learning models for business application

PREFERRED QUALIFICATIONS

Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

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

llm, alexa jobs in cambridge, eng

Applied Scientist - LLM, Alexa

Agentic AI Engineer (life sciences)

Deputy Development Director

Staff AI Platform Engineer

CAD Physical Design Engineer

Sr. Applied Scientist, Alexa International

Developer (Full Stack, Cloud, AI and Platform Delivery)

Senior AI Engineer (Full Stack)

Go-To-Market (GTM) Engineer / Revenue Operations

Embedded Engineer

Senior Software Engineer, Foundry

Principal Software Security Engineer

Applied Scientist, Silicon and Systems Group Edge AI

Senior Software Engineer (vLLM)

Senior Researcher - AI Computer Architecture

Senior Software Engineer - AI Tooling

Sr Staff AI Software Development Engineer

Foundation Model Engineer

Senior Machine Learning Scientist

(UK)Principal Engineer - Test

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