551 to 575 of 1,199 LLM Jobs in England

help build the infrastructure, workflows, and systems that bring cutting-edge LLM research to life. What You’ll Do: Design and build tools, methods, and infrastructure to advance large language model development Collaborate with researchers to identify and solve weaknesses in agent-generated code Develop scalable frameworks for annotation, training, and model experimentation Apply agentic design principles to improve LLM … environment (e.g., Jupyter Notebook , Google Colab ) Key Requirements: 4+ years’ experience in Machine Learning/AI (LLMs, data mining, recommendation systems, or pattern recognition) Proven hands-on experience with LLM agents and generative AI systems Strong Python skills, with experience in PyTorch or TensorFlow Familiarity with agentic design principles and LLaMA-based architectures Advanced debugging & problem-solving ability Experience running More ❯

businesses. Youll work with innovative tools, a collaborative culture and meaningful career progression Role Overview: As a Senior/Lead AI Engineer, you will take full ownership of our LLM Ops platform and the orchestration of multi-agent AI systems. You will collaborate with cross-functional teams to design, implement, and scale AI-driven solutions that power intelligent automation across … various domains. Key Responsibilities: Own and lead the development and operations of our LLM Ops platform, ensuring scalability, reliability, and high performance. Design and implement multi-agent orchestration frameworks for autonomous AI workflows. Optimise LLM performance, fine-tuning pipelines, and monitoring inference efficiency. Collaborate with product, research, and engineering teams to integrate AI solutions into production systems. Qualifications: Bachelors or More ❯

streamline workflows. Collaborate with product and engineering teams to integrate prompting strategies into user-facing features and backend systems. Stay current with the latest advancements in prompt engineering techniques, LLM capabilities, and conversational AI research. Play a key role in building and maintaining a centralized library of best-in-class prompts and interaction patterns to ensure consistency and reusability. Person … ML Engineer, Data Scientist or Python development role with a focus on AI/ML applications. Prompt Engineering: Proven ability to design and iterate on prompts for real-world LLM applications, with a strong portfolio of examples. Python Proficiency: Strong command of Python and its use in interacting with APIs and building applications. Collaborative Development: Experience using collaborative coding environments More ❯

streamline workflows. Collaborate with product and engineering teams to integrate prompting strategies into user-facing features and backend systems. Stay current with the latest advancements in prompt engineering techniques, LLM capabilities, and conversational AI research. Play a key role in building and maintaining a centralized library of best-in-class prompts and interaction patterns to ensure consistency and reusability. Person … ML Engineer, Data Scientist or Python development role with a focus on AI/ML applications. Prompt Engineering: Proven ability to design and iterate on prompts for real-world LLM applications, with a strong portfolio of examples. Python Proficiency: Strong command of Python and its use in interacting with APIs and building applications. Collaborative Development: Experience using collaborative coding environments More ❯

streamline workflows. Collaborate with product and engineering teams to integrate prompting strategies into user-facing features and backend systems. Stay current with the latest advancements in prompt engineering techniques, LLM capabilities, and conversational AI research. Play a key role in building and maintaining a centralized library of best-in-class prompts and interaction patterns to ensure consistency and reusability. Person … ML Engineer, Data Scientist or Python development role with a focus on AI/ML applications. Prompt Engineering: Proven ability to design and iterate on prompts for real-world LLM applications, with a strong portfolio of examples. Python Proficiency: Strong command of Python and its use in interacting with APIs and building applications. Collaborative Development: Experience using collaborative coding environments More ❯

streamline workflows. Collaborate with product and engineering teams to integrate prompting strategies into user-facing features and backend systems. Stay current with the latest advancements in prompt engineering techniques, LLM capabilities, and conversational AI research. Play a key role in building and maintaining a centralized library of best-in-class prompts and interaction patterns to ensure consistency and reusability. Person … ML Engineer, Data Scientist or Python development role with a focus on AI/ML applications. Prompt Engineering: Proven ability to design and iterate on prompts for real-world LLM applications, with a strong portfolio of examples. Python Proficiency: Strong command of Python and its use in interacting with APIs and building applications. Collaborative Development: Experience using collaborative coding environments More ❯

streamline workflows. Collaborate with product and engineering teams to integrate prompting strategies into user-facing features and backend systems. Stay current with the latest advancements in prompt engineering techniques, LLM capabilities, and conversational AI research. Play a key role in building and maintaining a centralized library of best-in-class prompts and interaction patterns to ensure consistency and reusability. Person … ML Engineer, Data Scientist or Python development role with a focus on AI/ML applications. Prompt Engineering: Proven ability to design and iterate on prompts for real-world LLM applications, with a strong portfolio of examples. Python Proficiency: Strong command of Python and its use in interacting with APIs and building applications. Collaborative Development: Experience using collaborative coding environments More ❯

Role/Job Title: Prompt Engineer Work Location: London 250 Bishopsgate (on site) The Role A Prompt Engineer in the Data and Analytics domain within banking plays a crucial role in leveraging Generative AI (GenAI) and Large Language Models (LLMs More ❯

talented Full Stack Developer looking to work at the forefront of AI and software innovation? Were partnering with a leading international law firm thats building cutting-edge GenAI and LLM-powered solutions and theyre looking for a Full Stack Developer to help shape the next generation of legal technology. This is a unique opportunity to work within a forward-thinking … and managing DevOps processes for seamless deployment. Working in an agile team , contributing to sprints, backlog refinement, and continuous improvement. Staying up to date with AI/ML and LLM trends to bring innovative ideas into production. Ensuring code quality through testing, documentation, and peer review. 4+ years experience building enterprise-grade applications. Strong backend skills in Python (FastAPI, Flask … and CSS . Understanding of modern development best practices, including agile delivery, CI/CD, and automated testing. Passion for emerging tech and willingness to learn Generative AI and LLM technologies (e.g. Experience working in or with legal tech, consulting, or data-driven environments. Familiarity with UX design principles and the ability to prototype interfaces. Experience managing deployments or infrastructure More ❯

We’re seeking a skilled Senior AI Engineer to join our Core AI Services team. In this role, you'll help build scalable, secure, and cloud-native AI platform services and public APIs. You'll work on enabling innovative AI More ❯

We’re seeking a skilled Senior AI Engineer to join our Core AI Services team. In this role, you'll help build scalable, secure, and cloud-native AI platform services and public APIs. You'll work on enabling innovative AI More ❯

is a full-time, remote UK-based role. ***Unfortunately we can't consider candidates that require sponsorship*** Compensation: Up to £65,000 + package Key Responsibilities: Research and deploy LLM-based solutions (e.g., LangChain, Mastra.ai, Pydantic) for document processing, summarization, and clinical Q&A systems. Develop and optimize predictive models using scikit-learn, PyTorch, TensorFlow, and XGBoost. Design robust data … compliance standards (e.g., ISO27001). Ensure data governance, particularly around sensitive healthcare data. Share best practices and stay current with developments in AI, ML, and LLMs. Proven experience with LLM frameworks and transformer-based architectures. Strong Python skills and familiarity with key ML/DL libraries. Experience with Azure (or similar cloud platforms), containerization (Docker/Kubernetes a plus), and More ❯

Stack Developer looking to work at the forefront of AI and software innovation? We’re partnering with a leading international law firm that’s building cutting-edge GenAI and LLM-powered solutions — and they’re looking for a Full Stack Developer to help shape the next generation of legal technology. This is a unique opportunity to work within a forward … and managing DevOps processes for seamless deployment. Working in an agile team , contributing to sprints, backlog refinement, and continuous improvement. Staying up to date with AI/ML and LLM trends to bring innovative ideas into production. Ensuring code quality through testing, documentation, and peer review. 🎯 What we’re looking for: 4+ years’ experience building enterprise-grade applications. Strong backend … solutions — Azure preferred. Understanding of modern development best practices, including agile delivery, CI/CD, and automated testing. Passion for emerging tech and willingness to learn Generative AI and LLM technologies (e.g. OpenAI, Claude). ✨ Nice-to-haves: Experience working in or with legal tech, consulting, or data-driven environments. Familiarity with UX design principles and the ability to prototype More ❯

Stack Developer looking to work at the forefront of AI and software innovation? We’re partnering with a leading international law firm that’s building cutting-edge GenAI and LLM-powered solutions — and they’re looking for a Full Stack Developer to help shape the next generation of legal technology. This is a unique opportunity to work within a forward … and managing DevOps processes for seamless deployment. Working in an agile team , contributing to sprints, backlog refinement, and continuous improvement. Staying up to date with AI/ML and LLM trends to bring innovative ideas into production. Ensuring code quality through testing, documentation, and peer review. 🎯 What we’re looking for: 4+ years’ experience building enterprise-grade applications. Strong backend … solutions — Azure preferred. Understanding of modern development best practices, including agile delivery, CI/CD, and automated testing. Passion for emerging tech and willingness to learn Generative AI and LLM technologies (e.g. OpenAI, Claude). ✨ Nice-to-haves: Experience working in or with legal tech, consulting, or data-driven environments. Familiarity with UX design principles and the ability to prototype More ❯

Stack Developer looking to work at the forefront of AI and software innovation? We’re partnering with a leading international law firm that’s building cutting-edge GenAI and LLM-powered solutions — and they’re looking for a Full Stack Developer to help shape the next generation of legal technology. This is a unique opportunity to work within a forward … and managing DevOps processes for seamless deployment. Working in an agile team , contributing to sprints, backlog refinement, and continuous improvement. Staying up to date with AI/ML and LLM trends to bring innovative ideas into production. Ensuring code quality through testing, documentation, and peer review. 🎯 What we’re looking for: 4+ years’ experience building enterprise-grade applications. Strong backend … solutions — Azure preferred. Understanding of modern development best practices, including agile delivery, CI/CD, and automated testing. Passion for emerging tech and willingness to learn Generative AI and LLM technologies (e.g. OpenAI, Claude). ✨ Nice-to-haves: Experience working in or with legal tech, consulting, or data-driven environments. Familiarity with UX design principles and the ability to prototype More ❯

Stack Developer looking to work at the forefront of AI and software innovation? We’re partnering with a leading international law firm that’s building cutting-edge GenAI and LLM-powered solutions — and they’re looking for a Full Stack Developer to help shape the next generation of legal technology. This is a unique opportunity to work within a forward … and managing DevOps processes for seamless deployment. Working in an agile team , contributing to sprints, backlog refinement, and continuous improvement. Staying up to date with AI/ML and LLM trends to bring innovative ideas into production. Ensuring code quality through testing, documentation, and peer review. 🎯 What we’re looking for: 4+ years’ experience building enterprise-grade applications. Strong backend … solutions — Azure preferred. Understanding of modern development best practices, including agile delivery, CI/CD, and automated testing. Passion for emerging tech and willingness to learn Generative AI and LLM technologies (e.g. OpenAI, Claude). ✨ Nice-to-haves: Experience working in or with legal tech, consulting, or data-driven environments. Familiarity with UX design principles and the ability to prototype More ❯

Stack Developer looking to work at the forefront of AI and software innovation? We’re partnering with a leading international law firm that’s building cutting-edge GenAI and LLM-powered solutions — and they’re looking for a Full Stack Developer to help shape the next generation of legal technology. This is a unique opportunity to work within a forward … and managing DevOps processes for seamless deployment. Working in an agile team , contributing to sprints, backlog refinement, and continuous improvement. Staying up to date with AI/ML and LLM trends to bring innovative ideas into production. Ensuring code quality through testing, documentation, and peer review. 🎯 What we’re looking for: 4+ years’ experience building enterprise-grade applications. Strong backend … solutions — Azure preferred. Understanding of modern development best practices, including agile delivery, CI/CD, and automated testing. Passion for emerging tech and willingness to learn Generative AI and LLM technologies (e.g. OpenAI, Claude). ✨ Nice-to-haves: Experience working in or with legal tech, consulting, or data-driven environments. Familiarity with UX design principles and the ability to prototype More ❯

Stack Developer looking to work at the forefront of AI and software innovation? We’re partnering with a leading international law firm that’s building cutting-edge GenAI and LLM-powered solutions — and they’re looking for a Full Stack Developer to help shape the next generation of legal technology. This is a unique opportunity to work within a forward … and managing DevOps processes for seamless deployment. Working in an agile team , contributing to sprints, backlog refinement, and continuous improvement. Staying up to date with AI/ML and LLM trends to bring innovative ideas into production. Ensuring code quality through testing, documentation, and peer review. 🎯 What we’re looking for: 4+ years’ experience building enterprise-grade applications. Strong backend … solutions — Azure preferred. Understanding of modern development best practices, including agile delivery, CI/CD, and automated testing. Passion for emerging tech and willingness to learn Generative AI and LLM technologies (e.g. OpenAI, Claude). ✨ Nice-to-haves: Experience working in or with legal tech, consulting, or data-driven environments. Familiarity with UX design principles and the ability to prototype More ❯

and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback loops), owning schema design, latency, and relevance across vector databases. LLM integration: Connect and orchestrate large language models (OpenAI, Bedrock, etc.), manage prompts, tools, safeguards, and evaluation. Data pipelines: Ingest, clean, and transform structured and unstructured data; design efficient schemas (Postgres … Architecture: Shape a modular, scalable platform on AWS (ECS), separating ingestion, retrieval, reasoning, and delivery. Quality & reliability: Ensure reliability through testing, CI/CD, observability (metrics/tracing for LLM and retrieval paths), and performance optimisation. Collaboration: Partner with product and leadership teams, mentor peers, and play a role in shaping technical direction. Innovation: Explore and recommend new technologies, frameworks … Excellent communication, problem-solving, and leadership skills. Nice to have Experience with rerankers (e.g., cross-encoders), hybrid retrieval (SQL + vectors), query expansion, or lightweight knowledge graphs. Familiarity with LLM evaluation tooling (LangChain, LlamaIndex, OpenAI Evals) and observability for cost, relevance, and latency. Background in B2B data products or fintech. More ❯

and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback loops), owning schema design, latency, and relevance across vector databases. LLM integration: Connect and orchestrate large language models (OpenAI, Bedrock, etc.), manage prompts, tools, safeguards, and evaluation. Data pipelines: Ingest, clean, and transform structured and unstructured data; design efficient schemas (Postgres … Architecture: Shape a modular, scalable platform on AWS (ECS), separating ingestion, retrieval, reasoning, and delivery. Quality & reliability: Ensure reliability through testing, CI/CD, observability (metrics/tracing for LLM and retrieval paths), and performance optimisation. Collaboration: Partner with product and leadership teams, mentor peers, and play a role in shaping technical direction. Innovation: Explore and recommend new technologies, frameworks … Excellent communication, problem-solving, and leadership skills. Nice to have Experience with rerankers (e.g., cross-encoders), hybrid retrieval (SQL + vectors), query expansion, or lightweight knowledge graphs. Familiarity with LLM evaluation tooling (LangChain, LlamaIndex, OpenAI Evals) and observability for cost, relevance, and latency. Background in B2B data products or fintech. More ❯

and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback loops), owning schema design, latency, and relevance across vector databases. LLM integration: Connect and orchestrate large language models (OpenAI, Bedrock, etc.), manage prompts, tools, safeguards, and evaluation. Data pipelines: Ingest, clean, and transform structured and unstructured data; design efficient schemas (Postgres … Architecture: Shape a modular, scalable platform on AWS (ECS), separating ingestion, retrieval, reasoning, and delivery. Quality & reliability: Ensure reliability through testing, CI/CD, observability (metrics/tracing for LLM and retrieval paths), and performance optimisation. Collaboration: Partner with product and leadership teams, mentor peers, and play a role in shaping technical direction. Innovation: Explore and recommend new technologies, frameworks … Excellent communication, problem-solving, and leadership skills. Nice to have Experience with rerankers (e.g., cross-encoders), hybrid retrieval (SQL + vectors), query expansion, or lightweight knowledge graphs. Familiarity with LLM evaluation tooling (LangChain, LlamaIndex, OpenAI Evals) and observability for cost, relevance, and latency. Background in B2B data products or fintech. More ❯

and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback loops), owning schema design, latency, and relevance across vector databases. LLM integration: Connect and orchestrate large language models (OpenAI, Bedrock, etc.), manage prompts, tools, safeguards, and evaluation. Data pipelines: Ingest, clean, and transform structured and unstructured data; design efficient schemas (Postgres … Architecture: Shape a modular, scalable platform on AWS (ECS), separating ingestion, retrieval, reasoning, and delivery. Quality & reliability: Ensure reliability through testing, CI/CD, observability (metrics/tracing for LLM and retrieval paths), and performance optimisation. Collaboration: Partner with product and leadership teams, mentor peers, and play a role in shaping technical direction. Innovation: Explore and recommend new technologies, frameworks … Excellent communication, problem-solving, and leadership skills. Nice to have Experience with rerankers (e.g., cross-encoders), hybrid retrieval (SQL + vectors), query expansion, or lightweight knowledge graphs. Familiarity with LLM evaluation tooling (LangChain, LlamaIndex, OpenAI Evals) and observability for cost, relevance, and latency. Background in B2B data products or fintech. More ❯

and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback loops), owning schema design, latency, and relevance across vector databases. LLM integration: Connect and orchestrate large language models (OpenAI, Bedrock, etc.), manage prompts, tools, safeguards, and evaluation. Data pipelines: Ingest, clean, and transform structured and unstructured data; design efficient schemas (Postgres … Architecture: Shape a modular, scalable platform on AWS (ECS), separating ingestion, retrieval, reasoning, and delivery. Quality & reliability: Ensure reliability through testing, CI/CD, observability (metrics/tracing for LLM and retrieval paths), and performance optimisation. Collaboration: Partner with product and leadership teams, mentor peers, and play a role in shaping technical direction. Innovation: Explore and recommend new technologies, frameworks … Excellent communication, problem-solving, and leadership skills. Nice to have Experience with rerankers (e.g., cross-encoders), hybrid retrieval (SQL + vectors), query expansion, or lightweight knowledge graphs. Familiarity with LLM evaluation tooling (LangChain, LlamaIndex, OpenAI Evals) and observability for cost, relevance, and latency. Background in B2B data products or fintech. More ❯

and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback loops), owning schema design, latency, and relevance across vector databases. LLM integration: Connect and orchestrate large language models (OpenAI, Bedrock, etc.), manage prompts, tools, safeguards, and evaluation. Data pipelines: Ingest, clean, and transform structured and unstructured data; design efficient schemas (Postgres … Architecture: Shape a modular, scalable platform on AWS (ECS), separating ingestion, retrieval, reasoning, and delivery. Quality & reliability: Ensure reliability through testing, CI/CD, observability (metrics/tracing for LLM and retrieval paths), and performance optimisation. Collaboration: Partner with product and leadership teams, mentor peers, and play a role in shaping technical direction. Innovation: Explore and recommend new technologies, frameworks … Excellent communication, problem-solving, and leadership skills. Nice to have Experience with rerankers (e.g., cross-encoders), hybrid retrieval (SQL + vectors), query expansion, or lightweight knowledge graphs. Familiarity with LLM evaluation tooling (LangChain, LlamaIndex, OpenAI Evals) and observability for cost, relevance, and latency. Background in B2B data products or fintech. More ❯

and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback loops), owning schema design, latency, and relevance across vector databases. LLM integration: Connect and orchestrate large language models (OpenAI, Bedrock, etc.), manage prompts, tools, safeguards, and evaluation. Data pipelines: Ingest, clean, and transform structured and unstructured data; design efficient schemas (Postgres … Architecture: Shape a modular, scalable platform on AWS (ECS), separating ingestion, retrieval, reasoning, and delivery. Quality & reliability: Ensure reliability through testing, CI/CD, observability (metrics/tracing for LLM and retrieval paths), and performance optimisation. Collaboration: Partner with product and leadership teams, mentor peers, and play a role in shaping technical direction. Innovation: Explore and recommend new technologies, frameworks … Excellent communication, problem-solving, and leadership skills. Nice to have Experience with rerankers (e.g., cross-encoders), hybrid retrieval (SQL + vectors), query expansion, or lightweight knowledge graphs. Familiarity with LLM evaluation tooling (LangChain, LlamaIndex, OpenAI Evals) and observability for cost, relevance, and latency. Background in B2B data products or fintech. More ❯