101 to 125 of 1,125 LLM Jobs in England

days max onsite) £70,000 - £85,000 NearTech's working with a fast-moving FinTech investing heavily in generative AI, and they’re now hiring an Python Engineer with LLM experience to join a predominently product-led, engineering-first team shaping internal AI tools from the ground up. (N.B. I've also advertised the role as an AI software Engineer More ❯

days max onsite) £70,000 - £85,000 NearTech's working with a fast-moving FinTech investing heavily in generative AI, and they’re now hiring an Python Engineer with LLM experience to join a predominently product-led, engineering-first team shaping internal AI tools from the ground up. (N.B. I've also advertised the role as an AI software Engineer More ❯

days max onsite) £70,000 - £85,000 NearTech's working with a fast-moving FinTech investing heavily in generative AI, and they’re now hiring an Python Engineer with LLM experience to join a predominently product-led, engineering-first team shaping internal AI tools from the ground up. (N.B. I've also advertised the role as an AI software Engineer More ❯

days max onsite) £70,000 - £85,000 NearTech's working with a fast-moving FinTech investing heavily in generative AI, and they’re now hiring an Python Engineer with LLM experience to join a predominently product-led, engineering-first team shaping internal AI tools from the ground up. (N.B. I've also advertised the role as an AI software Engineer More ❯

days max onsite) £70,000 - £85,000 NearTech's working with a fast-moving FinTech investing heavily in generative AI, and they’re now hiring an Python Engineer with LLM experience to join a predominently product-led, engineering-first team shaping internal AI tools from the ground up. (N.B. I've also advertised the role as an AI software Engineer More ❯

ways of working across mixed client-consultancy teams. 💡 About You Proven experience as a Product Manager in AI, data, or enterprise technology environments. Hands-on exposure to AI MVPs, LLM applications, or applied ML use cases (e.g. RAG, copilots, generative search). Strong technical grounding in vector search, embeddings, APIs, data pipelines, and prompt design. Skilled in navigating complex enterprise More ❯

impact solutions Job Responsibilities/Objectives Build and deploy Python based AI applications Research and design advanced experiments and prototypes using cutting edge techniques, specifically in GenAI Develop various LLM assisted frameworks Design and write clean, maintainable, auditable and well documented codebases Implement testing pipelines and evaluation frameworks Good documentation practices to ensure seamless operations Exceptional teamwork and communication skills More ❯

bring experience in both AI development and systems engineering, including: Commercial experience building and deploying multi-agent systems Strong Python development skills for AI/ML applications Understanding of LLM orchestration , memory, and tool usage Familiarity with AWS core services , cloud security, and IaC (Terraform/CloudFormation) Proficiency with containerisation (Docker) and Kubernetes-based environments A passion for experimentation , research More ❯

bring experience in both AI development and systems engineering, including: Commercial experience building and deploying multi-agent systems Strong Python development skills for AI/ML applications Understanding of LLM orchestration , memory, and tool usage Familiarity with AWS core services , cloud security, and IaC (Terraform/CloudFormation) Proficiency with containerisation (Docker) and Kubernetes-based environments A passion for experimentation , research More ❯

to design and deliver scalable APIs, system components, and observability layers that enable extensibility and reuse. Collaborate with AI/ML teams to integrate capabilities such as semantic search, LLM-powered assistants, personalization, and classification systems. Write PRFAQs and technical narratives that align senior leadership, drive clarity across functions, and accelerate high-judgment decisions. Engage directly with CIOs, analysts, and More ❯

to design and deliver scalable APIs, system components, and observability layers that enable extensibility and reuse. Collaborate with AI/ML teams to integrate capabilities such as semantic search, LLM-powered assistants, personalization, and classification systems. Write PRFAQs and technical narratives that align senior leadership, drive clarity across functions, and accelerate high-judgment decisions. Engage directly with CIOs, analysts, and More ❯

generative AI and machine learning solutions for commercial real estate. Apply large language models to analyse financial documents and market datasets. Engineer and optimise prompts, as well as evaluate LLM outputs for accuracy and relevance. Build production-ready Python code and integrate models into user-facing applications. Monitor and refine model performance post-deployment, making improvements based on feedback. Collaborate More ❯

redefine the standard for expressive conversational speech. Join us and help create the voices that define the future of human–AI interaction. Core Responsibilities Research, design, and train SOTA LLM-based and neural TTS models, combining diffusion, flow-matching, or autoregressive architectures for ultra-natural speech generation. Explore and implement expressive prosody modelling, emotion-conditioned synthesis, and speaker cloning for More ❯

redefine the standard for expressive conversational speech. Join us and help create the voices that define the future of human–AI interaction. Core Responsibilities Research, design, and train SOTA LLM-based and neural TTS models, combining diffusion, flow-matching, or autoregressive architectures for ultra-natural speech generation. Explore and implement expressive prosody modelling, emotion-conditioned synthesis, and speaker cloning for More ❯

redefine the standard for expressive conversational speech. Join us and help create the voices that define the future of human–AI interaction. Core Responsibilities Research, design, and train SOTA LLM-based and neural TTS models, combining diffusion, flow-matching, or autoregressive architectures for ultra-natural speech generation. Explore and implement expressive prosody modelling, emotion-conditioned synthesis, and speaker cloning for More ❯

data or ML services. Strong understanding of machine learning pipelines and integration between data science and production environments. UK-based and available for remote contract work. Desirable: Experience with LLM integration (e.g. OpenAI, ChatGPT API, or similar). Familiarity with Kubernetes , CI/CD pipelines , or cloud deployment (AWS/GCP/Azure). Prior experience in start-up, R More ❯

in Python, particularly for AI/ML, data engineering, or automation use cases Experience working with or building applications around large language models (open-source or commercial) Familiarity with LLM agents, orchestration frameworks (e.g. LangGraph, LangChain), and context management Experience with cloud platforms (AWS preferred) and associated services for AI workloads A background in software engineering or data science, ideally More ❯

in Python, particularly for AI/ML, data engineering, or automation use cases Experience working with or building applications around large language models (open-source or commercial) Familiarity with LLM agents, orchestration frameworks (e.g. LangGraph, LangChain), and context management Experience with cloud platforms (AWS preferred) and associated services for AI workloads A background in software engineering or data science, ideally More ❯

in Python, particularly for AI/ML, data engineering, or automation use cases Experience working with or building applications around large language models (open-source or commercial) Familiarity with LLM agents, orchestration frameworks (e.g. LangGraph, LangChain), and context management Experience with cloud platforms (AWS preferred) and associated services for AI workloads A background in software engineering or data science, ideally More ❯

in Python, particularly for AI/ML, data engineering, or automation use cases Experience working with or building applications around large language models (open-source or commercial) Familiarity with LLM agents, orchestration frameworks (e.g. LangGraph, LangChain), and context management Experience with cloud platforms (AWS preferred) and associated services for AI workloads A background in software engineering or data science, ideally More ❯

in Python, particularly for AI/ML, data engineering, or automation use cases Experience working with or building applications around large language models (open-source or commercial) Familiarity with LLM agents, orchestration frameworks (e.g. LangGraph, LangChain), and context management Experience with cloud platforms (AWS preferred) and associated services for AI workloads A background in software engineering or data science, ideally More ❯

data science/ML, with at least 2 years in a technical lead role. · Deep experience in training and deploying computer vision models into production · Proven track record with LLM fine-tuning, prompt engineering and productionisation · Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. · Strong coding skills in Python, with frameworks such as PyTorch More ❯

and perform advanced searches with ElasticSearch. You’ll contribute to developing a cloud-native data platform that processes and indexes large-scale web data Refine search algorithms and explore LLM-based features You will play a key role in advancing their microservices-based, event-driven architecture. What you’ll bring: 3+ years of commercial software engineering experience with Python (FastAPI More ❯

and perform advanced searches with ElasticSearch. You’ll contribute to developing a cloud-native data platform that processes and indexes large-scale web data Refine search algorithms and explore LLM-based features You will play a key role in advancing their microservices-based, event-driven architecture. What you’ll bring: 3+ years of commercial software engineering experience with Python (FastAPI More ❯

and perform advanced searches with ElasticSearch. You’ll contribute to developing a cloud-native data platform that processes and indexes large-scale web data Refine search algorithms and explore LLM-based features You will play a key role in advancing their microservices-based, event-driven architecture. What you’ll bring: 3+ years of commercial software engineering experience with Python (FastAPI More ❯