426 to 450 of 2,003 Remote LLM Jobs

Social network you want to login/join with: Banijay Entertainment is the largest independent content producer and distributor, home to over 130 production companies across 20+ territories, with a multi-genre catalogue boasting over 200,000 hours of original More ❯

Job Description Team: Backend Location: Remote Employment Type: Full-time and Permanent Remuneration (UK – Remote): £40–56k + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of More ❯

Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Enigma We recruit ML Talent for AI-Tech Startups Python | Backend | AWS | Biology | Software Engineer | Must have some familiarity with Biology – Either commercially More ❯

Job Title: ML Engineering Trainer Location: Fully Remote Job Type: Permanent Role Overview: FIND are working with a Global Data & AI Training/Education specialist who are looking to expand their Data Science Training team. They’re looking for AI More ❯

Job Title: ML Engineering Trainer Location: Fully Remote Job Type: Permanent Role Overview: FIND are working with a Global Data & AI Training/Education specialist who are looking to expand their Data Science Training team. They’re looking for AI More ❯

This range is provided by Omnis Partners. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range Direct message the job poster from Omnis Partners Join a Global Leader More ❯

About Caribou International tax is a rigged system. Tax rules get ever more complicated, compliance gets more expensive, and the Big Four controls the expertise. They charge fees that only giant companies can afford, while smaller businesses are left flying More ❯

About Caribou International tax is a rigged system. Tax rules get ever more complicated, compliance gets more expensive, and the Big Four controls the expertise. They charge fees that only giant companies can afford, while smaller businesses are left flying More ❯

Senior Research Scientist (LLM post training) United Kingdom PolyAI automates customer service through lifelike voice assistants that let customers lead a conversation. Our voice assistants make it possible for businesses to deliver outstanding customer service that rivals their human agents. Our customers, which include the world's leading logos, are expanding how they use our platform, driving automation of critical … into their daily customer service workflows. We are looking for a Senior Research Scientist to join our world-class team and lead cutting-edge work on large language model (LLM) post-training. This is not just about applying standard fine-tuning techniques - it's about building the future of dialogue systems with novel approaches to reasoning, reinforcement learning, audio-first … data. Generate, collect, and annotate training data - including synthetic and real-world conversational datasets - with an eye for quality and bias mitigation. Design robust evaluation metrics and benchmarks for LLM-based assistants in customer service domains. Work closely with engineering and product teams to integrate research into production environments. Collaborate with legal and compliance teams to ensure responsible use of More ❯

Senior Research Scientist (LLM post training) United Kingdom PolyAI automates customer service through lifelike voice assistants that let customers lead a conversation. Our voice assistants make it possible for businesses to deliver outstanding customer service that rivals their human agents. Our customers, which include the world’s leading logos, are expanding how they use our platform, driving automation of critical … into their daily customer service workflows. We are looking for a Senior Research Scientist to join our world-class team and lead cutting-edge work on large language model (LLM) post-training. This is not just about applying standard fine-tuning techniques - it's about building the future of dialogue systems with novel approaches to reasoning, reinforcement learning, audio-first … data. Generate, collect, and annotate training data - including synthetic and real-world conversational datasets - with an eye for quality and bias mitigation. Design robust evaluation metrics and benchmarks for LLM-based assistants in customer service domains. Work closely with engineering and product teams to integrate research into production environments. Collaborate with legal and compliance teams to ensure responsible use of More ❯

Company Insight: The company is a world leading investment manager with offices throughout North America, Europe and Asia. They are at the forefront of developing advanced hardware and software, utilizing proprietary prediction algorithms for autonomous trading of the markets. This More ❯

Company Insight: The company is a world leading investment manager with offices throughout North America, Europe and Asia. They are at the forefront of developing advanced hardware and software, utilizing proprietary prediction algorithms for autonomous trading of the markets. This More ❯

Company Insight: The company is a world leading investment manager with offices throughout North America, Europe and Asia. They are at the forefront of developing advanced hardware and software, utilizing proprietary prediction algorithms for autonomous trading of the markets. This More ❯

Company Insight: The company is a world leading investment manager with offices throughout North America, Europe and Asia. They are at the forefront of developing advanced hardware and software, utilizing proprietary prediction algorithms for autonomous trading of the markets. This More ❯

e.g. AWS, GCP, or Azure) and containerization (e.g. Docker). Interest in or experience with building microservices , APIs, or distributed systems. Prior work with data processing, prompt engineering, or LLM evaluation. Enthusiasm for learning, experimentation, and applying new AI tools to real-world problems. Strong communication skills and a collaborative mindset. Competitive salary and EMI share options so you grow More ❯

with data pipelines, data warehouses, data lakes, and data quality tooling. You have experience with Microsoft services such as Databricks and Azure Services. You are experienced in working with LLM and Prompt Engineering. You have experience working with RESTful APIs and microservices. FE fundinfo is a leading investment management technology and data company connecting asset managers to distributors in the More ❯

tier international conferences and journals. Role and Responsibilities As a Research Scientist you will: Contribute to research and commercialization efforts for Samsung AI Centre in areas including on-device LLM and VLMs, adaptive inference methods, and mobile ML systems. Conduct cutting-edge research within the existing group's agenda as well as contribute towards shaping it. Collaborate closely with cross More ❯

automation is seeking an experienced AI Engineer to help develop intelligent, scalable agentic systems integrated into modern software development lifecycles. This role involves leading the design and deployment of LLM-powered agents, developer tools, and automation frameworks that streamline workflows and elevate productivity. This is a hands-on engineering role that blends software development, AI experimentation, and product innovation. The … key role in architecting agent-based systems, leveraging advanced frameworks such as LangChain and LlamaIndex, and deploying real-time AI capabilities that integrate deeply with SDLC processes. Key Responsibilities LLM Agent Development: Design and implement intelligent, multi-step agents using frameworks like LangChain, LangGraph, and LlamaIndex to enhance developer workflows. Tooling & Assistant Innovation: Develop AI-powered assistants and developer tools … OpenAI, Claude, and Gemini, including fine-tuned custom models and evaluation pipelines. Prompt Engineering: Design, iterate, and test prompt strategies to improve model accuracy, robustness, and responsiveness across various LLM backends. Cross-Functional Collaboration: Work closely with engineering, product, and QA teams to embed agent-led automation within CI/CD pipelines and developer environments. Prototyping & R&D: Drive rapid More ❯

of experience in hardware acceleration of AI/ML models Experience in deep learning frameworks and tensor libraries like PyTorch, Tensorflow, JAX/FLAX Familiarity with building ML applications, LLM serving, GPU serving. Familiarity with containers and container orchestration systems Outstanding interpersonal communication skills (including listening, speaking, and writing) and ability to work well in a diverse, team-focused environment More ❯

data privacy, and secure software development are integrated into the product. Collaborate with the engineering team to drive innovation and efficiency. Work with OpenAI and other large language model (LLM) providers. Implement front-end code and maintain excellent user experiences. Ensure familiarity with cloud platforms like AWS, Azure, or Google Cloud. Contribute to the design and architecture of AI systems … with a focus on GDPR compliance and secure data handling. Required Skills and Qualifications Demonstrable experience with building multi-Agent AI systems. Hands-on experience with LLM providers (OpenAI). Front-End Development expertise in Svelte Kit, along with CSS skills. Strong understanding of AI ethics, data privacy, and best practices in secure software development. Strong problem-solving, analytical, and More ❯

innovative evaluation frameworks and ensuring its robust, scalable, and precise operation. Collaborate closely with cross-functional teams to create new methodologies that empower our legal experts to rigorously assess LLM output quality while ensuring the platform remains adaptive to evolving challenges and technological advances. Establishing a Continuous Auto-Evaluation Framework: Develop and deploy an automated system that continuously monitors and … validates our LLM outputs against stringent quality thresholds. Incorporate real-time performance metrics, anomaly detection, and proactive remediation triggers—ensuring that any dip in response quality is promptly identified and corrected. Integrate feedback loops that sustain our commitment to excellence, thereby ensuring our platform maintains consistently high standards. Designing a Load Balancing Framework for LLM API Calls: Architect and deploy … a dynamic load balancing system that intelligently distributes API calls across multiple LLM endpoints. Implement robust fallback mechanisms to automatically reroute traffic when an LLM instance is down or reaching usage quotas. Integrate real-time health monitoring and performance analytics to assess endpoint availability and adjust routing in real time. Deploying and Maintaining Proprietary LLM Models with Training and Fine More ❯

is an award-winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading Natural Language Processing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni harnesses the power of voice to drive unprecedented efficiency and oversight. We’re using the latest in More ❯

is an award-winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading Natural Language Processing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni harnesses the power of voice to drive unprecedented efficiency and oversight. We're using the latest in More ❯

is an award-winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading Natural Language Processing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni harnesses the power of voice to drive unprecedented efficiency and oversight. We're using the latest in More ❯

Learning frameworks and libraries (e.g., PyTorch, HuggingFace, LangChain, spaCy, NLTK, scikit-learn). Experience with information retrieval techniques and structured data extraction from unstructured sources. Hands-on experience with LLM APIs for pre-processing, fine-tuning, and deploying models on cloud-based infrastructure (AWS, GCP). Proficiency in containerization and orchestration technologies such as Docker and Kubernetes for scalable ML More ❯