26 to 50 of 1,155 Remote LLM Jobs

product drastically improves the working lives of our users, enables our customers to cover more risks, more competitively. The Role As an AI Engineer (LLM), you will play a critical role in developing our core Large Language Model (LLM) service. Our LLM service underpins our Generative AI powered risk digitization … services to leverage the power of LLMs at scale, regardless of the underlying foundational model. You will be responsible for building, deploying, and optimizing LLM-powered solutions that directly impact our customer's ability to understand and process risk in commercial insurance. What you will be doing Problem Solving & Collaboration … processing in commercial insurance that can be solved with LLMs. Collaborate closely with consuming service teams to define clear, efficient, and scalable interfaces for LLM tasks. Development & Deployment: Design, develop, test, and deploy domain-specific LLM tasks (e.g., information extraction, risk assessment, document summarization, etc.) that are readily consumable by More ❯

source control and JIRA Knowledge/experience working with Cloud, preferably AWS Knowledge of AI/ML and latest AI trends & technologies Familiarity in LLM frameworks and libraries such as LangChain, Langfuse, LiteLLM Agile/SCRUM Strong technical, problem solving and communication skills Keen to learn and develop new technical More ❯

that you're proud of in your application. Ideally these projects should show off complex and clever architectures or a systematic evaluation of an LLM's behaviour. You might be a good fit if you Bring your deep-dive software engineering expertise Thrive in a results-driven environment, where flexibility More ❯

that you’re proud of in your application. Ideally these projects should show off complex and clever architectures or a systematic evaluation of an LLM’s behaviour. You might be a good fit if you Bring your deep-dive software engineering expertise Thrive in a results-driven environment, where flexibility More ❯

Responsibilities Must have at least 4 years of Python experience Must have at least 4+ years working experience Develop software that provides visibility into LLM models and offers configurability for tuning and evaluation. Take a hands-on approach to quickly prototype, test, and iterate on solutions, moving from proof-of More ❯

Experience in MLOps (DataOps, Model Ops, ML Flow) Strong DevOps (CI/CD) Experience with Azure Databricks Strong Python programming Strong SQL Experience with LLM & GenAI This is an outside IR35 contract, paying up to £900/day. #J-18808-Ljbffr More ❯

sub-selection methods together with the latest training insights from our researchers. Engineer and Develop : Design, develop, and optimize scalable data pipelines to support LLM training and evaluation. You will also help us develop this in a robust and testable way, through careful source control and a solid back-up More ❯

sub-selection methods together with the latest training insights from our researchers. Engineer and Develop : Design, develop, and optimize scalable data pipelines to support LLM training and evaluation. You will also help us develop this in a robust and testable way, through careful source control and a solid back-up More ❯

and computational efficiency. This requires staying current with academic research and industry developments to identify opportunities for platform evolution. The role demands expertise in LLM optimization techniques including fine-tuning on domain-specific data, crafting robust prompting strategies, and implementing retrieval-augmented generation style architectures. You'll apply these techniques More ❯

Chart.js, Recharts) Knowledge of Microsoft Graph API and M365 deployment configurations Exposure to AWS services (Lambda, API Gateway, Cognito, etc.) Understanding of AI and LLM patterns for chat, collaboration or search interfaces What We Offer Work with cutting-edge AI and data technologies. Collaborate with a small, high-calibre, mission More ❯

Chart.js, Recharts) Knowledge of Microsoft Graph API and M365 deployment configurations Exposure to AWS services (Lambda, API Gateway, Cognito, etc.) Understanding of AI and LLM patterns for chat, collaboration or search interfaces What We Offer Work with cutting-edge AI and data technologies. Collaborate with a small, high-calibre, mission More ❯

in a cloud-native environment (Azure preferred; AWS/GCP acceptable). At least 1 year of hands-on experience with Generative AI or LLM-based tools and applications. Comfortable building end-to-end AI pipelines , from data ingestion to model deployment and monitoring. Demonstrated experience with consulting engagements , client More ❯

London, England, United Kingdom 1 month ago London, England, United Kingdom 2 months ago London, England, United Kingdom 11 months ago Senior ML Engineer - LLM Applications (Remote - United Kingdom) London, England, United Kingdom 1 week ago London, England, United Kingdom 1 month ago We’re unlocking community knowledge in a More ❯

to cloud service provider marketplaces Requirements Bachelor’s degree from an accredited institution, and legal or contract management qualifications are a plus, including JD, LLM, CCCM, CPCM, or paralegal certificate Minimum of 3 years of experience in contract management, with specific experience in SaaS offerings provided through cloud service provider More ❯

Duration: 1+ year Job Description: NOTE : Must be good in comm and technical + Minimum of 8 years of work exp needed Role Overview We are seeking a skilled Machine Learning Engineer to design, develop, and deploy advanced AI/ More ❯

optimize SQL queries for large-scale data analysis. Utilize Databricks for data processing, analytics, and collaborating with team members to build scalable solutions. Leverage LLM (Large Language Models) for AI-driven projects, improving business processes and customer experiences. Collaborate with data engineers to build data pipelines and integrate various data More ❯

Responsibilities: Must have at least 4 years of Python experience. Must have at least 4+ years working experience. Develop software that provides visibility into LLM models and offers configurability for tuning and evaluation. Take a hands-on approach to quickly prototype, test, and iterate on solutions, moving from proof-of More ❯

effective graph-based AI methodologies for our data. Leverage LLMs/ML to extract insights for better client experiences. Integrate prompt engineering techniques into LLM-driven products. Develop production-ready ML/AI pipelines. Conduct research, document findings, and share knowledge monthly. Mentor junior team members as needed. Follow MLOps More ❯

migration, data mapping, and data modeling. Familiarity with microservices and composable business systems. Familiarity with Advanced Analytics (AA), Artificial Intelligence (AI), Large Language Models (LLM), and Robotic Process Automation (RPA) Ability to recognize internally and externally stakeholders and technical dependencies. Ability to take on the role of subject matter experts More ❯

experience. Key skills: Senior Data Scientist experience Commercial experience in Generative AI and recommender systems Strong Python and SQL experience Spark/Apache Airflow LLM experience MLOps experience AWS Additional information: This role offers a strong salary of up to 95,000 (Depending on experience/skill) with hybrid working More ❯

experience. Key skills: ** Senior Data Scientist experience ** Commercial experience in Generative AI and recommender systems ** Strong Python and SQL experience ** Spark/Apache Airflow ** LLM experience ** MLOps experience ** AWS Additional information: This role offers a strong salary of up to £95,000 (Depending on experience/skill) with hybrid working More ❯

experience. Key skills: ** Senior Data Scientist experience ** Commercial experience in Generative AI and recommender systems ** Strong Python and SQL experience ** Spark/Apache Airflow ** LLM experience ** MLOps experience ** AWS Additional information: This role offers a strong salary of up to £95,000 (Depending on experience/skill) with hybrid working More ❯

OCR engines (we use AWS Textract, GDocAI, and we have used tesseractOCR in the past) Prompt Engineering Weaviate (we use it for RAG in LLM powered tasks and for hybrid searches) Kubernetes (we run Weaviate and other specific services on Kubernetes) CircleCI DataDog Auth0 (we use it, but we would More ❯

data-driven ML inference pipelines using Kafka. There will also be the opportunity to get involved in the continued development of our suite of LLM and Data Science focused modules. Help design, build and extend Seldon's Core v2 MLOps platform, contributing to improved reliability, scalability and performance as well More ❯

data-driven ML inference pipelines using Kafka. There will also be the opportunity to get involved in the continued development of our suite of LLM and Data Science focused modules. Help design, build and extend Seldon's Core v2 MLOps platform, contributing to improved reliability, scalability and performance as well More ❯