76 to 100 of 687 LLM Jobs in London

publications, patents, and successful projects that demonstrate expertise in robotic autonomy and intelligence. Expertise in Robotic Autonomy and experience with VLA/VLM/LLM/RT-X or equivalent solutions for dynamic Robotic World Modeling and advanced decision-making systems for humanoid robots. Hands-on experience with Python, cloud More ❯

such as TensorFlow, PyTorch, Scikit-learn. Experience with deploying and using AI models on cloud platforms (preferably Azure and OpenAI). Experience with developing LLM agent-based applications using tools like LangGraph, Autogen, etc. Experience dealing with the security aspects of using AI models with confidential client information. Able to More ❯

application. PREFERRED QUALIFICATIONS Experience using Unix/Linux. Experience in professional software development. Experience with Artificial General Intelligence, generative deep learning models, and specifically LLM development. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based More ❯

on AWS. Key Responsibilities: Design, develop, and deploy machine learning models into production Build scalable ML pipelines and infrastructure on AWS Implement and optimize LLM-based solutions Collaborate with data scientists and software engineers to productionize ML models Ensure ML systems meet performance, reliability, and scalability requirements Contribute to continuous More ❯

on AWS. Key Responsibilities: Design, develop, and deploy machine learning models into production Build scalable ML pipelines and infrastructure on AWS Implement and optimize LLM-based solutions Collaborate with data scientists and software engineers to productionize ML models Ensure ML systems meet performance, reliability, and scalability requirements Contribute to continuous More ❯

challenges The latest technology solutions from industry and academia and how to apply them to solve real world customer problems As a Full Stack LLM Development Specialist, you will: Design and build use-case and platform technology solutions to solve key business challenges using reference and cutting-edge technologies and More ❯

challenges The latest technology solutions from industry and academia and how to apply them to solve real world customer problems As a Full Stack LLM Development Specialist, you will: Design and build use-case and platform technology solutions to solve key business challenges using reference and cutting-edge technologies and More ❯

the last few years. Within this ecosystem, the Neuron Compiler team is developing a deep learning compiler stack that takes state of the art LLM and Vision models created in frameworks such as TensorFlow, PyTorch, and JAX, and makes them run performantly on our accelerators. The team is comprised of More ❯

frontend technology stacks: We use the latest Ruby on Rails, Turbo, Phlex, AlpineJS, TailwindCSS, AWS, PostgresSQL to name a few technologies. OpenAI & Claude for LLM interfacing. We are not wedded to them and will rapidly evolve over the next 3-6 months with the right technologies. Has worked in complex More ❯

Summary Yelp engineering culture is driven by our values: we're a cooperative team that values individual authenticity and encourages creative solutions to problems. All new engineers deploy working code their first week, and we strive to broaden individual impact More ❯

models across a robust AWS-based infrastructure 🧰 Collaborate across teams to maintain and enhance ML pipelines, services, and data ingestion systems 📊 Evaluate and improve LLM output quality, integrate models with backend services 🔧 Work on everything from data crawling to ML infra to production model serving 🤝 Partner with engineers to bring More ❯

models across a robust AWS-based infrastructure Collaborate across teams to maintain and enhance ML pipelines, services, and data ingestion systems Evaluate and improve LLM output quality, integrate models with backend services Work on everything from data crawling to ML infra to production model serving Partner with engineers to bring More ❯

a hands-on role where you'll help design and build the infrastructure behind scalable machine learning systems. You’ll work on workflow automation, LLM deployment and fine tuning, and support production-grade model inference. The team is moving fast, and the company is heading toward Series B – a good More ❯

a hands-on role where you'll help design and build the infrastructure behind scalable machine learning systems. You’ll work on workflow automation, LLM deployment and fine tuning, and support production-grade model inference. The team is moving fast, and the company is heading toward Series B – a good More ❯

the role data plays in developing data sets and exemplars that meet customer needs. You will analyze and automate processes for collecting and annotating LLM inputs and outputs to assess data quality and measurement. You will apply state-of-the-art Generative AI techniques to analyze how well our data More ❯

to travel up to 25%, as needed to client sites, but flexible based on personal preferences. Nice to have skills/experiences: Experience improving LLM performance for custom domains via fine tuning or RLHF. Experience in Information Retrieval systems for document question answering. Experience in day-to-day NLP for More ❯

Snowflake, dbt, and related technologies Cross-functional Collaboration : Align business needs with technical execution across diverse stakeholder groups Innovation Mindset : Stay current with GenAI, LLM applications, and emerging trends in enterprise data Essential Experience Enterprise architecture experience in data engineering or cloud platforms Proficiency in Snowflake , dbt , and Azure AI More ❯

Snowflake, dbt, and related technologies Cross-functional Collaboration : Align business needs with technical execution across diverse stakeholder groups Innovation Mindset : Stay current with GenAI, LLM applications, and emerging trends in enterprise data Essential Experience Enterprise architecture experience in data engineering or cloud platforms Proficiency in Snowflake , dbt , and Azure AI More ❯

science required change dynamically depending on the vendor needs. In the past we have worked on initiatives drawing from multiple disciplines, including causal inference, LLM, forecasting, and optimization. A large fraction of the team consists of former academic researchers, and we maintain that culture through collaboration with universities, exchange programs More ❯

real user adoption. Experience in developing and fine-tuning Gen AI models, including prompt engineering, model fine tuning and deployment. Knowledge and use of LLM and statistical evaluation techniques such as G-Eval, Bleu, Perplexity and/or others for prompt and model optimisations. Comfortable working with databases (relational & vector More ❯

of new and current systems PREFERRED QUALIFICATIONS - Experience with full software development life cycle, domain expertise on Knowledge Management Lifecycle - Exposure to AI/LLM related technology and it's application Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. More ❯

enthusiasm for creating and optimising digital media Quantitative degree from a top university The following is DESIRABLE, not essential: Candidates with previous experience with LLM models Commercial Experience with Tensorflow/Keras Developing cloud native systems An enthusiasm for data visualisation and dashboarding Benefits: Making a serious impact from day More ❯

enthusiasm for creating and optimising digital media Quantitative degree from a top university The following is DESIRABLE, not essential: Candidates with previous experience with LLM models Commercial Experience with Tensorflow/Keras Developing cloud native systems An enthusiasm for data visualisation and dashboarding Benefits: Making a serious impact from day More ❯

What you'll bring 3+ years experience in machine learning algorithms, software engineering, and data mining models with an emphasis on large language models (LLM). A background in maths, statistics, and algorithms, with the capability to write robust scalable Python code. A strong understanding of the mathematical and statistical More ❯

real-world problems Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences Even better Experience building or deploying AI/LLM systems in production Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed Familiarity with tools that More ❯