226 to 250 of 1,797 Remote LLM Jobs

CI/CD (Jenkins, GitHub Actions), Observability (AWS, Grafana). Development tools: GitHub, Jira, Notion, ChatGPT, Gemini, LangChain, AI-native IDE's (Cursor, JetBrains), LLM-powered internal tools. Test automation: Cypress (E2E), Postman (API), Jest (frontend unit), PHPUnit (backend unit), JUnit (Android), XCTest (iOS). WHAT WE OFFER YOU A More ❯

Freelance Economics - Quality Assurance/AI Trainer London, England, United Kingdom 6 days ago Freelance Economics - Quality Assurance/AI Trainer Freelance Python QA - LLM/AI training (Global) Amersham, England, United Kingdom 1 day ago Assistant Director of Operations – Care & Clinical ServiceNOW Senior Technical Consultant - Source to Pay ServiceNOW More ❯

thought leadership on OCI capabilities including Cloud Infrastructure (Landing Zones and Networking), Data Platforms (Database, Pipelines and consumption), AI/ML/GenAI (Models, LLM, RAG, GPUs), DevSecOps (Git, Terraform, Ansible, Dev Lifecycle), Application Modernization (Cloud Native, FE/BE Frameworks, Good Programmer), and Integration (OIC or others). Contribute More ❯

Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data strategy, data analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which More ❯

one Using LLMs for text simplification, text classification and contextual instruction within cybersecurity domain Developing of user Interface and API to integrate the chosen LLM with the in-house cybersecurity software. Supporting company scale up and exploitation of new technology. Acting as project lead, to progress the project and ensure More ❯

one Using LLMs for text simplification, text classification and contextual instruction within cybersecurity domain Developing of user Interface and API to integrate the chosen LLM with the in-house cybersecurity software. Supporting company scale up and exploitation of new technology. Acting as project lead, to progress the project and ensure More ❯

the system’s ability to learn which data points are key to resolving specific customer problems Innovating prompt development to optimise the performance of LLM-based parts of the system and background processes Developing models to map customer contacts to defined structures Performance Testing and Optimisation Evaluating our customer problem More ❯

bring the capabilities of groundbreaking AI technologies to benefit humanity in a safe and reliable way. Responsibilities: Develop appropriate Service Level Objectives for large language model serving and training systems, balancing availability/latency with development velocity Design and implement monitoring systems including availability, latency and other salient metrics Assist More ❯

our interventions. Run multi-agent reinforcement learning experiments to test out techniques like AI Debate. Build tooling to efficiently evaluate the effectiveness of novel LLM-generated jailbreaks. Write scripts and prompts to efficiently produce evaluation questions to test models' reasoning abilities in safety-relevant contexts. Contribute ideas, figures, and writing More ❯

production, ranging from best practices to building back-end API services or stand-alone libraries. Experience with advanced prompting, fine-tuning or training an LLM, open-source or cloud, using industry accepted platforms (such as mosaic.ai or stochastic.ai ). Showcase previous work (e.g. via a website, presentation, open source code More ❯

production, ranging from best practices to building back-end API services or stand-alone libraries. Experience with advanced prompting, fine-tuning or training an LLM, open-source or cloud, using industry accepted platforms (such as mosaic.ai or stochastic.ai ). Showcase previous work (e.g. via a website, presentation, open source code More ❯

learning/data engineering machine learning tech in Python (such as numpy, pytorch, pandas/polars, airflow, etc) Experience developing data products using large language model, prompt engineering, model evaluation. Experience with web services and programming (such as Python, docker, databases etc.) Great to (but not essential) Master's or More ❯

of solutions. Product knowledge and industry expertise: Stay up-to-date on the latest trends and advancements in AI, particularly in large language models (LLM) and SaaS solutions. Provide clients with expert insights into how Nebius AI Studio can optimize their operations and AI development. Collaboration and reporting: Collaborate closely More ❯

robotic learning or embodied intelligence A solid background in multimodal model development—especially in areas that combine computer vision, language understanding, and interactive learning (LLM, VLM or VLA) Real-world deployment experience of learning-based systems, ideally within robotic or physical environments (embodied systems (AI) & reinforcement learning) Comfort collaborating across More ❯

research into safe, user-centric features. Qualifications Degree or equivalent experience in Machine Learning, NLP, Computational Linguistics, or a related field. Demonstrated success shipping LLM-based products (GPT, Llama, Mistral, or similar) or conversational AI systems into production. Deep knowledge of modern ML/NLP frameworks (PyTorch, TensorFlow, JAX) and More ❯

research into safe, user-centric features. Qualifications Degree or equivalent experience in Machine Learning, NLP, Computational Linguistics, or a related field. Demonstrated success shipping LLM-based products (GPT, Llama, Mistral, or similar) or conversational AI systems into production. Deep knowledge of modern ML/NLP frameworks (PyTorch, TensorFlow, JAX) and More ❯

research into safe, user-centric features. Qualifications Degree or equivalent experience in Machine Learning, NLP, Computational Linguistics, or a related field. Demonstrated success shipping LLM-based products (GPT, Llama, Mistral, or similar) or conversational AI systems into production. Deep knowledge of modern ML/NLP frameworks (PyTorch, TensorFlow, JAX) and More ❯

leads, subject matter experts, and other ML Engineers to deliver impactful AI solutions. WHAT YOU WILL DO Technological Leadership: Define architectural patterns for scalable LLM pipelines, ensuring versioning, monitoring, and best practices. Research and Development: Develop RAG architectures, explore state-of-the-art LLMs, and incorporate recent trends like instruction More ❯

as well as technical messaging with marketing as the voice of the customer. Strong understanding of AI/ML concepts, techniques & infrastructure (learning models, LLM, GenAI, AGI, NLP, neural networks, deep learning, AI Frameworks, GPU and DPU). Strong knowledge of customer networks, their current challenges, ability to act as More ❯

contributed to system architecture decisions in a product-driven environment. Strong expertise in AI/ML technologies , including experience with modern AI frameworks and LLM integration (OpenAI, Anthropic, Pydantic-AI, LangGraph, LangChain), and deployment of production AI systems. Proficiency in back-end development with Python and Laravel based systems. Experience More ❯

Essential): University degree Knowledge of .NET (C#) and .NET framework application development Experience with programming languages (Java, .NET, VBA, HTML, SQL) Familiarity with NLP, LLM, Document Understanding, and OCR technologies Ready to Make an Impact? At tombola, we celebrate diversity and inclusion -our "Free to be me" value ensures that More ❯

Software Engineering skills. The following requirements are important: An experienced Data Scientist or a PhD graduate with Semantic Search, recommender systems, information retrieval, or LLM experience. PhD in a relevant field such as Mathematics, Engineering, or Computer Science. Hands-on expertise with Deep Learning approaches, including modern language models based More ❯

systems. Undergraduate or Masters degree in Computer Science (or related fields). Experience with AWS and Docker. Interest in AI, and familiarity with building LLM-based agents. Exposure to contract-first development (OpenAPI, gRPC/Protocol Buffers). Ability to design scalable and efficient system architectures. Ability to navigate rapidly More ❯

Knowledge of cloud platforms (preferably AWS) Strong problem-solving skills and attention to detail Excellent communication and collaboration skills Keen interest in AI and LLM and practical experience with it Nice To Have Familiarity with CloudFlare tools and techniques Experience developing enterprise-level or internal tools Knowledge of security best More ❯

with writing and maintaining Unit tests and E2E tests Advanced experience with MongoDB Upper-intermediate or higher English proficiency Experience with usage of the LLM-based solutions in daily workflow (ChatGPT, CoPilot, JetBrains AI Assistant, etc). Understanding of vector databases, embeddings, and RAG implementations Strong problem-solving skills and More ❯