26 to 50 of 78 LLM Jobs in the North West

build robust and scalable internal systems. You will also collaborate on Python-based research tools and contribute to the build and deployment of a locally hosted Large Language Model (LLM). Key Responsibilities Develop and maintain internal web applications and APIs Collaborate with investment and operational stakeholders to understand requirements Support Python-based research tools and automation Assist in configuring More ❯

The Francis Crick have an exciting opportunity available for a Software Engineer ????? to join one of the world's leading research Institutes at a crucial time in its evolution, and play a definitive role in shaping it for the future. More ❯

presence on Google Maps, Apple Maps and Bing Maps. Be the primary go-to-person for colleagues who need help with editing the website. Supporting search engine and large language model visibility by applying basic SEO principles to social media posts and website updates. Assisting with updates to the company website using the CMS (e.g. publishing content, correcting issues, maintaining More ❯

About the projects: We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms … across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate … contributing to or evaluating open-source projects is a plus. Note: Experience working with well-maintained, widely-used repositories (500+ stars) is required. Nice to Have: Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. Perks of Freelancing With Turing: Work in a fully remote environment. Opportunity to work on cutting-edge More ❯

About the projects: We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms … across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate … contributing to or evaluating open-source projects is a plus. Note: Experience working with well-maintained, widely-used repositories (500+ stars) is required. Nice to Have: Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. Perks of Freelancing With Turing: Work in a fully remote environment. Opportunity to work on cutting-edge More ❯

About the projects: We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms … across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate … contributing to or evaluating open-source projects is a plus. Note: Experience working with well-maintained, widely-used repositories (500+ stars) is required. Nice to Have: Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. Perks of Freelancing With Turing: Work in a fully remote environment. Opportunity to work on cutting-edge More ❯

About the projects: We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms … across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate … contributing to or evaluating open-source projects is a plus. Note: Experience working with well-maintained, widely-used repositories (500+ stars) is required. Nice to Have: Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. Perks of Freelancing With Turing: Work in a fully remote environment. Opportunity to work on cutting-edge More ❯

About the projects: We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms … across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate … contributing to or evaluating open-source projects is a plus. Note: Experience working with well-maintained, widely-used repositories (500+ stars) is required. Nice to Have: Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. Perks of Freelancing With Turing: Work in a fully remote environment. Opportunity to work on cutting-edge More ❯

across the full stack-from prompt engineering and memory management to UI and cloud deployment-using tools like LangChain, CrewAI, and vector databases. Core Responsibilities Build and iterate on LLM/agent-based prototypes (e.g., copilots, chatbots, A2A agents). Implement multi-step reasoning, memory modules, and RAG pipelines. Use frameworks like LangChain, LangGraph, CrewAI, and tools like Pinecone, FAISS. More ❯

Skills: 5+ years software engineering experience Proficiency with modern backend and frontend technologies such as Java, TypeScript, React, and MySQL Hands-on experience with generative AI tools and platforms (LLM APIs, agentic frameworks, codegen systems, vector databases) Driving innovation as a core principle Experience in greenfield projects This is hybrid role from Manchester 3 days per week. Must hold British More ❯

Jira, Bitbucket, Git Flow, Confluence, Azure Devops, Azure App Centre, Service Bus Explorer, SSMS and agile software development process/practices and other productivity tools AI-driven development/LLM/Azure Document Intelligence Elastic Search/Kibana/ELK Stack Azure DevOps YAML, Terraform More ❯

looking at – reliably and at scale. RAG Systems, Data Pipelines & Internal Agents: You'll design the data pipelines that power our AI features, including retrieval-augmented generation (RAG), internal LLM-based tools, and content delivery workflows. Experience with vector stores, agent frameworks, or scalable data workflows is all relevant here. MLOps & Deployment: Build and maintain the infrastructure behind our AI More ❯

looking at – reliably and at scale. RAG Systems, Data Pipelines & Internal Agents: You'll design the data pipelines that power our AI features, including retrieval-augmented generation (RAG), internal LLM-based tools, and content delivery workflows. Experience with vector stores, agent frameworks, or scalable data workflows is all relevant here. MLOps & Deployment: Build and maintain the infrastructure behind our AI More ❯

looking at – reliably and at scale. RAG Systems, Data Pipelines & Internal Agents: You'll design the data pipelines that power our AI features, including retrieval-augmented generation (RAG), internal LLM-based tools, and content delivery workflows. Experience with vector stores, agent frameworks, or scalable data workflows is all relevant here. MLOps & Deployment: Build and maintain the infrastructure behind our AI More ❯

looking at – reliably and at scale. RAG Systems, Data Pipelines & Internal Agents: You'll design the data pipelines that power our AI features, including retrieval-augmented generation (RAG), internal LLM-based tools, and content delivery workflows. Experience with vector stores, agent frameworks, or scalable data workflows is all relevant here. MLOps & Deployment: Build and maintain the infrastructure behind our AI More ❯

looking at – reliably and at scale. RAG Systems, Data Pipelines & Internal Agents: You'll design the data pipelines that power our AI features, including retrieval-augmented generation (RAG), internal LLM-based tools, and content delivery workflows. Experience with vector stores, agent frameworks, or scalable data workflows is all relevant here. MLOps & Deployment: Build and maintain the infrastructure behind our AI More ❯

of professional software engineering experience or a Computer Science Degree and Internship Experience Curiosity and comfort with modern development tools, including AI-assisted platforms like GitHub Copilot, Cursor, or LLM APIs A collaborative mindset and strong communication skills A balance of pragmatism and technical rigor A desire to grow quickly on a high-impact, mission-oriented team People Who Thrive More ❯

Job Role: Product Engineer (backend C# .net core) Reference: BH-355p Job Type: Permanent Location: Hybrid, West Hampstead, London (2 days/week in-office) Salary: up to £75-£85k per annum About The Client: Our client builds AI-driven More ❯

Senior Developer | .Net | £60,000 - £70,000 Basic + Bonus | Liverpool Hybrid The main benefit in this role is all around modern technology. For example pushing what is possible with AI/LLMs. If you have heard of something and More ❯

TTS team to deploy and scale advanced models in production environments. Lead efforts in optimising TTS pipelines for performance and scalability, particularly focusing on GPU utilisation. Implement and maintain LLM (Large Language Models) and transformers, ensuring efficient inference on a large scale. Integrate and manage LLM-based inference servers like Triton, TensorRT, or TorchServe to streamline model deployment and scaling. … years of hands-on experience deploying and scaling machine learning solutions in production. Proven experience in deploying and optimising LLMs/transformers in production environments. Knowledge of LLM inference servers (e.g., Triton, TensorRT, TorchServe). Experience with GPU scaling for large-scale machine learning models. Expertise in deploying complex machine learning pipelines in production environments. Proficiency with PyTorch and Hugging More ❯

tasks concurrently Bonus Project management certification Experience of working with the Monday.com work management platform and Jira for issue tracking Experience using on interest in utilising AI tools and LLM models. The Benefits of working at 1X2 Network Competitive salary in addition to a company bonus scheme. We offer long-term career prospects with opportunities to develop – the job is More ❯

have partnered with a retail bank undergoing a data transformation. You'll be joining their core Data team and be responsible for deploying tooling through cloud platforms, utilising new LLM models and building out new pipelines. Data/MLOps Engineer - Python, SQL, AWS, Azure Key Skills and Experience: Python SQL Tableau, PowerBI Terraform AWS, Azure This role is hybrid working More ❯

APIs Collaborate on Python-based investment tools Ensure secure and scalable deployments Skills: Frontend: React (TypeScript, Hooks, Tailwind) Backend: Node.js, Express, PostgreSQL Python (for research & analytics integration), Locally hosted LLM Experience cleaning and translating code If you are interested, please apply and I call you in the strictest confidence. More ❯

years software engineering experience Experience with modern backend and frontend technologies such as Java, TypeScript, React, and MySQL Exposure or passion for generative AI tools and platforms (LLM APIs, agentic frameworks, codegen systems, vector databases) Driving innovation as a core principle Experience in greenfield projects This is hybrid role from Manchester 3 days per week. Must hold British Citizenship, European More ❯

have - experience with GraphQL, tRPC, TanStack, AWS, Prisma Why join? Own and ship real AI features to millions — fast. Help build the next-gen chat automation, AI voice, and LLM-enhanced experiences. Work in a product-first, execution-obsessed team. Location: Remote within Europe - quarterly team meetings in London. This role does not provide sponsorship and you must be legally More ❯