1 to 25 of 192 LLM Jobs in the West Midlands

clients MU. Essential Skills Strong proficiency in Python, Azure AI Services, and Machine Learning frameworks (e.g., TensorFlow, PyTorch). Experience with Generative AI and LLM-based solutions for enterprise use cases. Familiarity with DevOps pipelines and CI/CD practices using Gitlab or Azure DevOps. Understanding of data governance, security ...

programming and experience with Python data science frameworks Familiarity with common ML frameworks (e.g., PyTorch, Keras) and libraries (e.g., NumPy, scikit-learn) Experience with LLM agents including tool using and reasoning, for instance, the combination of RAG solution and code interpreter Experience with Multi-agent system architecture (e.g., LangGraph, ToolUniverse ...

programming and experience with Python data science frameworks Familiarity with common ML frameworks (e.g., PyTorch, Keras) and libraries (e.g., NumPy, scikit-learn) Experience with LLM agents including tool using and reasoning, for instance, the combination of RAG solution and code interpreter Experience with Multi-agent system architecture (e.g., LangGraph, ToolUniverse ...

programming and experience with Python data science frameworks Familiarity with common ML frameworks (e.g., PyTorch, Keras) and libraries (e.g., NumPy, scikit-learn) Experience with LLM agents including tool using and reasoning, for instance, the combination of RAG solution and code interpreter Experience with Multi-agent system architecture (e.g., LangGraph, ToolUniverse ...

programming and experience with Python data science frameworks Familiarity with common ML frameworks (e.g., PyTorch, Keras) and libraries (e.g., NumPy, scikit-learn) Experience with LLM agents including tool using and reasoning, for instance, the combination of RAG solution and code interpreter Experience with Multi-agent system architecture (e.g., LangGraph, ToolUniverse ...

programming and experience with Python data science frameworks Familiarity with common ML frameworks (e.g., PyTorch, Keras) and libraries (e.g., NumPy, scikit-learn) Experience with LLM agents including tool using and reasoning, for instance, the combination of RAG solution and code interpreter Experience with Multi-agent system architecture (e.g., LangGraph, ToolUniverse ...

research, or both - with a proven ability to find and fix real vulnerabilities Hands-on experience with at least one of the following: Adversarial LLM red teaming, model extraction or prompt injection, data poisoning or evasion attacks, secure model deployment or sandboxing, detection and monitoring for AI misuse Strong programming ...

research, or both - with a proven ability to find and fix real vulnerabilities Hands-on experience with at least one of the following: Adversarial LLM red teaming, model extraction or prompt injection, data poisoning or evasion attacks, secure model deployment or sandboxing, detection and monitoring for AI misuse Strong programming ...

research, or both - with a proven ability to find and fix real vulnerabilities Hands-on experience with at least one of the following: Adversarial LLM red teaming, model extraction or prompt injection, data poisoning or evasion attacks, secure model deployment or sandboxing, detection and monitoring for AI misuse Strong programming ...

Building clean, intuitive UIs for AI tools (React/Vue/Angular or Blazor) Developing scalable back-end services in C# .NET Integrating real LLM/GenAI capabilities into production products Creating responsive components that simplify complex AI workflows Working closely with AI platform engineers Writing maintainable, well-tested code ...

hands-on experience building scalable, automated systems. You combine backend engineering expertise with applied AI knowledge, using technologies like LangChain, vector databases, and LLM APIs alongside microservices, Kubernetes, Terraform, and CI/CD pipelines to create resilient, intelligent systems. You'll partner closely with devOps, data science, and data engineering … systems monitoring, alerting, and analytics using tools such as Datadog, Splunk, New Relic, or AWS CloudTrail. Communication Skills: Demonstrated success in cross-functional collaboration. LLM Expertise: Proven experience developing, evaluating and orchestrating agentic workflows MLOps and Distributed Systems: Hands-on experience with distributed systems and MLOps tooling such as Kubernetes ...

hands-on experience building scalable, automated systems. You combine backend engineering expertise with applied AI knowledge, using technologies like LangChain, vector databases, and LLM APIs alongside microservices, Kubernetes, Terraform, and CI/CD pipelines to create resilient, intelligent systems. You'll partner closely with devOps, data science, and data engineering … systems monitoring, alerting, and analytics using tools such as Datadog, Splunk, New Relic, or AWS CloudTrail. Communication Skills: Demonstrated success in cross-functional collaboration. LLM Expertise: Proven experience developing, evaluating and orchestrating agentic workflows MLOps and Distributed Systems: Hands-on experience with distributed systems and MLOps tooling such as Kubernetes ...

clearly in writing and provide structured feedback. No AI experience required Perks: Fully remote, flexible work. Work on cutting-edge AI projects with leading LLM companies. Offer Details: Pay rate: $50+/hour (depends on role and candidate expertise). Assessment: Shortlisted experts complete an evaluation before selection. Assignments: Contract ...

clearly in writing and provide structured feedback. No AI experience required Perks: Fully remote, flexible work. Work on cutting-edge AI projects with leading LLM companies. Offer Details: Pay rate: $50+/hour (depends on role and candidate expertise). Assessment: Shortlisted experts complete an evaluation before selection. Assignments: Contract ...

clearly in writing and provide structured feedback. No AI experience required Perks: Fully remote, flexible work. Work on cutting-edge AI projects with leading LLM companies. Offer Details: Pay rate: $50+/hour (depends on role and candidate expertise). Assessment: Shortlisted experts complete an evaluation before selection. Assignments: Contract ...

data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL. Preferred Experience with AI/ML model evaluation ...

data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL. Preferred Experience with AI/ML model evaluation ...

data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL. Preferred Experience with AI/ML model evaluation ...

data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL. Preferred Experience with AI/ML model evaluation ...

Lead Data Scientist (remote) Search, Ranking, Retrieval and LLM Modelling Early Stage AI Company We are working with a fast growing early stage company that is building a new intelligence layer for the next era of product discovery. With AI assistants becoming the first place consumers turn to for information ...

Lead Data Scientist (remote) Search, Ranking, Retrieval and LLM Modelling Early Stage AI Company We are working with a fast growing early stage company that is building a new intelligence layer for the next era of product discovery. With AI assistants becoming the first place consumers turn to for information ...

Lead Data Scientist (remote) Search, Ranking, Retrieval and LLM Modelling Early Stage AI Company We are working with a fast growing early stage company that is building a new intelligence layer for the next era of product discovery. With AI assistants becoming the first place consumers turn to for information ...

directly with clients Bonus skills: Git CI/CD pipelines (Azure Pipelines or similar) Azure Boards or similar project tools Experience with AI/LLM integrations Mindset & Behaviours Youll thrive in this role if you are: Curious, proactive, and eager to learn Clear and confident in your communication Open ...

practices to ensure continuous model improvement and deployment cycles. Data Collection: Execute initiatives for collecting, normalizing, and storing data across multiple sources, including external LLM providers. Collaboration: Partner with AI R&D, Applied AI, and Data Platform teams to ensure seamless data flow and quality standards. Partner with stakeholders … MLflow, Weights & Biases), and model deployment pipelines. Experience with Large Language Models (LLMs), embedding generation, retrieval-augmented generation (RAG) systems, and frameworks for orchestrating LLM interaction (LiteLLM, LangFuse, LangChain, LlamaIndex). Strong problem-solving, analytical, and communication skills, with the ability to design scalable AI data systems and collaborate effectively ...

work. Technical DepthYou've been writing Python professionally for 5+ years and have strong software engineering fundamentals. AI Integration ExperienceYou've integrated AI/LLM APIs into production systems and understand both their capabilities and limitations. This is a full-time, permanent role, with a flexible hybrid working arrangement ...