1 to 25 of 137 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 ...

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 ...

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research experience through publications, open-source contributions, or impactful projects Strong engineering fundamentals and experience implementing AI systems in production environments Deep knowledge of LLM evaluation methodologies, alignment techniques, and model optimization approaches Experience with model fine-tuning, adapters, quantization, and distillation frameworks Self-motivation and ability to define ...

research experience through publications, open-source contributions, or impactful projects Strong engineering fundamentals and experience implementing AI systems in production environments Deep knowledge of LLM evaluation methodologies, alignment techniques, and model optimization approaches Experience with model fine-tuning, adapters, quantization, and distillation frameworks Self-motivation and ability to define ...

research experience through publications, open-source contributions, or impactful projects Strong engineering fundamentals and experience implementing AI systems in production environments Deep knowledge of LLM evaluation methodologies, alignment techniques, and model optimization approaches Experience with model fine-tuning, adapters, quantization, and distillation frameworks Self-motivation and ability to define ...

research experience through publications, open-source contributions, or impactful projects Strong engineering fundamentals and experience implementing AI systems in production environments Deep knowledge of LLM evaluation methodologies, alignment techniques, and model optimization approaches Experience with model fine-tuning, adapters, quantization, and distillation frameworks Self-motivation and ability to define ...

research experience through publications, open-source contributions, or impactful projects Strong engineering fundamentals and experience implementing AI systems in production environments Deep knowledge of LLM evaluation methodologies, alignment techniques, and model optimization approaches Experience with model fine-tuning, adapters, quantization, and distillation frameworks Self-motivation and ability to define ...

generation models, multimodal models, and LLMs (incl. SFT, DPO, GRPO). Proficiency with Google Vertex AI for end-to-end ML development. Experience with LLM agents and adaptive systems in complex environments. Ability to work cross-functionally with legal, SecOps, IT, and exec stakeholders in a highly matrixed org. Clear ...

generation models, multimodal models, and LLMs (incl. SFT, DPO, GRPO). Proficiency with Google Vertex AI for end-to-end ML development. Experience with LLM agents and adaptive systems in complex environments. Ability to work cross-functionally with legal, SecOps, IT, and exec stakeholders in a highly matrixed org. Clear ...

generation models, multimodal models, and LLMs (incl. SFT, DPO, GRPO). Proficiency with Google Vertex AI for end-to-end ML development. Experience with LLM agents and adaptive systems in complex environments. Ability to work cross-functionally with legal, SecOps, IT, and exec stakeholders in a highly matrixed org. Clear ...

generation models, multimodal models, and LLMs (incl. SFT, DPO, GRPO). Proficiency with Google Vertex AI for end-to-end ML development. Experience with LLM agents and adaptive systems in complex environments. Ability to work cross-functionally with legal, SecOps, IT, and exec stakeholders in a highly matrixed org. Clear ...

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 ...

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 ...

10+ years working with ML/AI systems, including 3+ years owning human data/labeling/RLHF/evaluation workflows Deep understanding of LLM training stacks and post-training methods (e.g. SFT, RLHF, preference learning, DPO, RLAIF) at a conceptual level Hands-on experience designing human data tasks: specs ...

10+ years working with ML/AI systems, including 3+ years owning human data/labeling/RLHF/evaluation workflows Deep understanding of LLM training stacks and post-training methods (e.g. SFT, RLHF, preference learning, DPO, RLAIF) at a conceptual level Hands-on experience designing human data tasks: specs ...

10+ years working with ML/AI systems, including 3+ years owning human data/labeling/RLHF/evaluation workflows Deep understanding of LLM training stacks and post-training methods (e.g. SFT, RLHF, preference learning, DPO, RLAIF) at a conceptual level Hands-on experience designing human data tasks: specs ...

10+ years working with ML/AI systems, including 3+ years owning human data/labeling/RLHF/evaluation workflows Deep understanding of LLM training stacks and post-training methods (e.g. SFT, RLHF, preference learning, DPO, RLAIF) at a conceptual level Hands-on experience designing human data tasks: specs ...

10+ years working with ML/AI systems, including 3+ years owning human data/labeling/RLHF/evaluation workflows Deep understanding of LLM training stacks and post-training methods (e.g. SFT, RLHF, preference learning, DPO, RLAIF) at a conceptual level Hands-on experience designing human data tasks: specs ...