Scientist llm, Work, Jobs in Thriplow, Cam (with Salaries)

Applied Scientist - LLM, Alexa
Evi Technologies Limited —Cambridge
- Full-time
- Doctoral degree
- Java
- Master's degree
Applied Scientist, Silicon and Systems Group Edge AI
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
Research Support Officers | Neurobiology | Dr Marco Tripodi | LMB 2532
UK Research and Innovation (UKRI) —Cambridge
- £42,159 - £47,071 a year
- Full-time
- Doctoral degree
- Laboratory experience
- Master's degree
9d
Senior Machine Learning Scientist
Flagship Pioneering, Inc. —Cambridge
- Doctoral degree
- Master's degree
- Machine learning
Staff AI Platform Engineer
Altos Labs —Cambridge
- £97,300 - £128,000 a year
- Computer Science
- Master's degree
- AWS
Go-To-Market (GTM) Engineer / Revenue Operations
Abselion —Cambridge
- £40,000 - £60,000 a year
- Full-time
- Microsoft Outlook
- Sales
- SQL
Senior AI Engineer (Full Stack)
Abcam —Cambridge
- Full-time
- Master's degree
- Machine learning
- APIs
- Annual leave
(UK)Principal Engineer - Test
Codvo.ai —Cambridge
- Azure
- Product management
- APIs

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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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scientist llm, jobs in thriplow, cam

Applied Scientist - LLM, Alexa

Applied Scientist, Silicon and Systems Group Edge AI

Agentic AI Engineer (life sciences)

Research Support Officers | Neurobiology | Dr Marco Tripodi | LMB 2532

Senior Machine Learning Scientist

Staff AI Platform Engineer

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

Senior AI Engineer (Full Stack)

(UK)Principal Engineer - Test

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