1 to 25 of 56 Generative AI Jobs in the South West

GenAI Manager (Python/GenAI/LLM) Hybrid Remote (Manchester, London, or Glasgow HQ) Global Consultancy Client £95k package including base and bonus We are looking for a GenAi Manager with a passion for Generative AI projects and a background in Managing a small team, the successful candidate must have current or prior experience Managing a … small team of Ai/GenAi Engineers (We are not able to consider candidates without this). Why Join Us? You'll be joining a forward-thinking consultancy that offers incredible growth potential, with the chance to work on cutting-edge GenAI technologies. This is a fantastic opportunity to contribute to impactful Proofs of Concept (POC), engage with … explore new business development avenues as you shape the future of AI-driven solutions. What Were Looking For: Managerial experience - Leading/Managing a small team of GenAi Developers Python (FastAPI), Typescript (Express) or similar Frontend Development: React, Next.js, or Vite GenAI tools: LangChain, LangGraph, CrewAI, or Vercel AI (Python or JavaScript) LLM platforms: OpenAI, Anthropic More ❯

Fullstack GenAI Developer (Python/LLMs/GenAI) ?? Hybrid | Manchester, London, or Glasgow HQ ?? Up to £55,000 + Benefits ?? Global Consultancy | High-Impact Projects | Cutting-Edge Tech Are you a fullstack developer with a passion for Generative AI? Do you thrive at the intersection of innovation, client delivery, and future-defining technology? Were partnering with … a leading global consultancy on a mission to scale its next-generation GenAI team . This is your chance to work on ground-breaking Proofs of Concept (POCs) , explore bleeding-edge tools, and make a real impact in shaping AI-powered solutions across diverse industries. What Youll Be Doing Design & build fullstack GenAI applications that solve real-world … problems Work on client-facing POCs using the latest in LangChain, LangGraph, CrewAI, and beyond Engage in hands-on R&D to explore new GenAI techniques and tools Collaborate across cross-functional teams, helping build a centre of excellence in GenAI Contribute to business development conversations and future project scoping ?? Your Tech Stack Backend: Python (FastAPI), Node (Express) Frontend: React More ❯

Overview We are seeking a talented Data and AI Engineer to join our team. As a Data and AI Engineer, you will undertake a comprehensive stock take of current AI initiatives across the UK, assess customer tools and infrastructure, and determine the suitability of applications for executing Systems Engineering identified use-cases. Responsibilities Collaborate … with stakeholders to understand and assess the use of AI in Systems Engineering and Model-Based Systems Engineering (MBSE). Conduct external assessments (papers, conferences, internet) to identify suitable AI tools not currently employed by the client. Undertake Proof of Concept (PoC) investigations for selected use cases, which may involve using existing customer tools or testing … third-party tools. Use Generative AI to produce Design Verification Plans (DVPs) and AI-generated reference requirements. Identify challenging customer and project requirements. Define the scope of engineering data, starting with systems artefact's (requirements, test results, supporting documentation). Develop and review NLP Generative AI engineering data models tailored More ❯

Overview We are seeking a talented Data and AI Engineer to join our team. As a Data and AI Engineer, you will undertake a comprehensive stock take of current AI initiatives across the UK, assess customer tools and infrastructure, and determine the suitability of applications for executing Systems Engineering identified use-cases. Responsibilities Collaborate … with stakeholders to understand and assess the use of AI in Systems Engineering and Model-Based Systems Engineering (MBSE). Conduct external assessments (papers, conferences, internet) to identify suitable AI tools not currently employed by the client. Undertake Proof of Concept (PoC) investigations for selected use cases, which may involve using existing customer tools or testing … third-party tools. Use Generative AI to produce Design Verification Plans (DVPs) and AI-generated reference requirements. Identify challenging customer and project requirements. Define the scope of engineering data, starting with systems artefact's (requirements, test results, supporting documentation). Develop and review NLP Generative AI engineering data models tailored More ❯

Overview We are seeking a talented Data and AI Engineer to join our team. As a Data and AI Engineer, you will undertake a comprehensive stock take of current AI initiatives across the UK, assess customer tools and infrastructure, and determine the suitability of applications for executing Systems Engineering identified use-cases. Responsibilities Collaborate … with stakeholders to understand and assess the use of AI in Systems Engineering and Model-Based Systems Engineering (MBSE). Conduct external assessments (papers, conferences, internet) to identify suitable AI tools not currently employed by the client. Undertake Proof of Concept (PoC) investigations for selected use cases, which may involve using existing customer tools or testing … third-party tools. Use Generative AI to produce Design Verification Plans (DVPs) and AI-generated reference requirements. Identify challenging customer and project requirements. Define the scope of engineering data, starting with systems artefact's (requirements, test results, supporting documentation). Develop and review NLP Generative AI engineering data models tailored More ❯

of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. More ❯

of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. More ❯

of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. More ❯

of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion. Ref. code More ❯

of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion. More ❯

of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion. More ❯

of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion. More ❯

Bristol As a generative AI-focused Data Scientist specialising in Natural Language Processing (NLP), you will drive innovation by designing and enhancing cutting-edge AI algorithms tailored for our diverse internal customer. Your primary mission is to empower our teams with maintainable and robust NLP solutions, fostering a data-driven culture throughout the organization. … the-art solutions to our internal stakeholders, and keeping our organization at the forefront of innovation. It is a good opportunity to take part in shaping the future of GenAI within MBDA with your insights and experiences in this newly formed international team. Key Responsibilities: Capture internal client needs and requirements across diverse business functions. Employ NLP techniques to extract … complexity against business needs, ensuring durability and responsiveness. Collaborate with internal clients to understand and deliver on their unique data challenges. Stay abreast of the latest advancements in generative AI and NLP, guiding our technology strategy. Ensure smooth data flow through various exchange and processing techniques (ETL, ESB, API). Lead the way in delivering Agile More ❯

do things As you grow in confidence, you’ll take on more responsibility, including calls, feedback sessions, and helping shape how we support our users. Training Why choose AI & Digital Support? This programme brings together AI, Microsoft Copilot and broader digital skills to provide support and advice to users across a wide range of business software … and Generative AI applications, enhancing digital transformation and increasing AI literacy across your organisation. Accelerate AI adoption Streamline productivity Champion innovation The AI & Digital Support programme integrates live and online workshops with self-paced learning, employing a guided discovery approach for individual learner contexts. Learners are assigned a Digital Learning More ❯

Government must seize the opportunity of AI to drive outcomes in the public interest. This is of critical importance now. Government needs innovation and must not sleep on the opportunity presented by AI to drive better services for taxpayers and citizens. In November 2023, the creation of the incubator for AI (i.AI) was announced … and following early successes, the team was expanded in March 2024. Our mission is to harness the opportunity of AI to improve lives, drive growth, and deliver better public services. This is an AI product team that focuses on delivery of technical solutions to public service challenges, responding to ministerial steers about priorities and driving impact … you are offered the role. We are looking for a talented, product-orientated engineer with proven delivery experience to join our team building the future of critical government AI-powered products. In this role you will work closely with researchers, engineers, designers and product leaders to build AI products that have an impact on real-world More ❯

As an AI Software Engineer Apprentice, you’ll deliver real-world AI and ML solutions working with data pipelines, models, APIs, and microservices while advancing toward a fully funded Level 6 degree. This role is rooted in the Digital and Technology Solutions standard, blending a common core with the Software Engineer specialism. Role Location: Hybrid (UK … Perform error analysis, feature importance, and other model diagnostics. Track and log training/testing outcomes to support reproducibility and model versioning. Engineering Contributions Help build and integrate AI-powered APIs, scripts, and microservices. Collaborate on backend services and model deployment in dev/test environments. Use Git, CI/CD tools, and containerization (e.g., Docker) to maintain … codebase quality. Applied AI Domains Work on projects that involve Natural Language Processing (NLP), Computer Vision, Generative AI, or Recommendation Systems. Support annotation, feature engineering, and augmentation tasks where necessary. Documentation & Collaboration Write clear, well-organized documentation for code, models, datasets, and project workflows. Participate in team meetings, sprint planning, and code reviews. Engage More ❯

Copilot Studio Consultant Are you passionate about building intelligent, AI-powered solutions? This is a fantastic opportunity to join a growing Data & AI practice within a well-established UK-based digital consultancy that's leading the way in AI-driven transformation. As a Copilot Studio Consultant, you'll play a key role in designing … internal teams to create applications that drive real business value. What you'll be doing: Designing and deploying solutions using Microsoft Copilot Studio, including Power Virtual Agents and generative AI plugins Translating business needs into scalable, AI-driven applications Collaborating with cross-functional teams to integrate Copilot Studio with Microsoft Power Platform and Azure … services Providing technical leadership and best practice guidance Staying up to date with Microsoft's AI roadmap and emerging technologies What we're looking for: Hands-on experience with Microsoft Copilot Studio Strong knowledge of Microsoft Power Platform and Azure AI services Excellent communication skills, with the ability to explain technical concepts to varied audiences A More ❯

Copilot Studio Consultant Are you passionate about building intelligent, AI-powered solutions? This is a fantastic opportunity to join a growing Data & AI practice within a well-established UK-based digital consultancy that's leading the way in AI-driven transformation. As a Copilot Studio Consultant, you'll play a key role in designing … internal teams to create applications that drive real business value. What you'll be doing: Designing and deploying solutions using Microsoft Copilot Studio, including Power Virtual Agents and generative AI plugins Translating business needs into scalable, AI-driven applications Collaborating with cross-functional teams to integrate Copilot Studio with Microsoft Power Platform and Azure … services Providing technical leadership and best practice guidance Staying up to date with Microsoft's AI roadmap and emerging technologies What we're looking for: Hands-on experience with Microsoft Copilot Studio Strong knowledge of Microsoft Power Platform and Azure AI services Excellent communication skills, with the ability to explain technical concepts to varied audiences A More ❯

Copilot Studio Consultant Are you passionate about building intelligent, AI-powered solutions? This is a fantastic opportunity to join a growing Data & AI practice within a well-established UK-based digital consultancy that's leading the way in AI-driven transformation. As a Copilot Studio Consultant, you'll play a key role in designing … internal teams to create applications that drive real business value. What you'll be doing: Designing and deploying solutions using Microsoft Copilot Studio, including Power Virtual Agents and generative AI plugins Translating business needs into scalable, AI-driven applications Collaborating with cross-functional teams to integrate Copilot Studio with Microsoft Power Platform and Azure … services Providing technical leadership and best practice guidance Staying up to date with Microsoft's AI roadmap and emerging technologies What we're looking for: Hands-on experience with Microsoft Copilot Studio Strong knowledge of Microsoft Power Platform and Azure AI services Excellent communication skills, with the ability to explain technical concepts to varied audiences A More ❯

effective systems for internal engineering teams. Microservices & API Gateways Guide distributed system architectures and internal service integration. Define best practices for service-to-service communication and data management. AI & ML Enablement Set vision for MLOps platforms and streamline machine learning workflows. Enable deployment of traditional and generative AI models into internal platforms. Developer Experience …/CD, Infrastructure as Code (IaC), and monitoring frameworks. Enhance developer productivity, deployment velocity, and system reliability. Key Responsibilities Define and maintain product roadmaps for platform, infrastructure, and AI/ML tooling. Act as primary product partner to engineering, SRE, and data science teams. Lead initiatives that boost developer experience, system observability, and engineering efficiency. Foster a culture … engineering/SRE teams on internal tooling and shared services. Track record of delivering internal products that boost developer workflows, reliability, or deployment velocity. Hands-on experience with AI/ML platforms, MLOps, and deploying machine learning models into production environments. Core Focus Areas Core Platform Engineering Developer Experience (DevEx/DX) Engineering Productivity DevOps Tooling Observability Solutions More ❯

effective systems for internal engineering teams. Microservices & API Gateways Guide distributed system architectures and internal service integration. Define best practices for service-to-service communication and data management. AI & ML Enablement Set vision for MLOps platforms and streamline machine learning workflows. Enable deployment of traditional and generative AI models into internal platforms. Developer Experience …/CD, Infrastructure as Code (IaC), and monitoring frameworks. Enhance developer productivity, deployment velocity, and system reliability. Key Responsibilities Define and maintain product roadmaps for platform, infrastructure, and AI/ML tooling. Act as primary product partner to engineering, SRE, and data science teams. Lead initiatives that boost developer experience, system observability, and engineering efficiency. Foster a culture … engineering/SRE teams on internal tooling and shared services. Track record of delivering internal products that boost developer workflows, reliability, or deployment velocity. Hands-on experience with AI/ML platforms, MLOps, and deploying machine learning models into production environments. Core Focus Areas Core Platform Engineering Developer Experience (DevEx/DX) Engineering Productivity DevOps Tooling Observability Solutions More ❯

effective systems for internal engineering teams. Microservices & API Gateways Guide distributed system architectures and internal service integration. Define best practices for service-to-service communication and data management. AI & ML Enablement Set vision for MLOps platforms and streamline machine learning workflows. Enable deployment of traditional and generative AI models into internal platforms. Developer Experience …/CD, Infrastructure as Code (IaC), and monitoring frameworks. Enhance developer productivity, deployment velocity, and system reliability. Key Responsibilities Define and maintain product roadmaps for platform, infrastructure, and AI/ML tooling. Act as primary product partner to engineering, SRE, and data science teams. Lead initiatives that boost developer experience, system observability, and engineering efficiency. Foster a culture … engineering/SRE teams on internal tooling and shared services. Track record of delivering internal products that boost developer workflows, reliability, or deployment velocity. Hands-on experience with AI/ML platforms, MLOps, and deploying machine learning models into production environments. Core Focus Areas Core Platform Engineering Developer Experience (DevEx/DX) Engineering Productivity DevOps Tooling Observability Solutions More ❯

effective systems for internal engineering teams. Microservices & API Gateways Guide distributed system architectures and internal service integration. Define best practices for service-to-service communication and data management. AI & ML Enablement Set vision for MLOps platforms and streamline machine learning workflows. Enable deployment of traditional and generative AI models into internal platforms. Developer Experience …/CD, Infrastructure as Code (IaC), and monitoring frameworks. Enhance developer productivity, deployment velocity, and system reliability. Key Responsibilities Define and maintain product roadmaps for platform, infrastructure, and AI/ML tooling. Act as primary product partner to engineering, SRE, and data science teams. Lead initiatives that boost developer experience, system observability, and engineering efficiency. Foster a culture … engineering/SRE teams on internal tooling and shared services. Track record of delivering internal products that boost developer workflows, reliability, or deployment velocity. Hands-on experience with AI/ML platforms, MLOps, and deploying machine learning models into production environments. Core Focus Areas Core Platform Engineering Developer Experience (DevEx/DX) Engineering Productivity DevOps Tooling Observability Solutions More ❯

effective systems for internal engineering teams. Microservices & API Gateways Guide distributed system architectures and internal service integration. Define best practices for service-to-service communication and data management. AI & ML Enablement Set vision for MLOps platforms and streamline machine learning workflows. Enable deployment of traditional and generative AI models into internal platforms. Developer Experience …/CD, Infrastructure as Code (IaC), and monitoring frameworks. Enhance developer productivity, deployment velocity, and system reliability. Key Responsibilities Define and maintain product roadmaps for platform, infrastructure, and AI/ML tooling. Act as primary product partner to engineering, SRE, and data science teams. Lead initiatives that boost developer experience, system observability, and engineering efficiency. Foster a culture … engineering/SRE teams on internal tooling and shared services. Track record of delivering internal products that boost developer workflows, reliability, or deployment velocity. Hands-on experience with AI/ML platforms, MLOps, and deploying machine learning models into production environments. Core Focus Areas Core Platform Engineering Developer Experience (DevEx/DX) Engineering Productivity DevOps Tooling Observability Solutions More ❯

effective systems for internal engineering teams. Microservices & API Gateways Guide distributed system architectures and internal service integration. Define best practices for service-to-service communication and data management. AI & ML Enablement Set vision for MLOps platforms and streamline machine learning workflows. Enable deployment of traditional and generative AI models into internal platforms. Developer Experience …/CD, Infrastructure as Code (IaC), and monitoring frameworks. Enhance developer productivity, deployment velocity, and system reliability. Key Responsibilities Define and maintain product roadmaps for platform, infrastructure, and AI/ML tooling. Act as primary product partner to engineering, SRE, and data science teams. Lead initiatives that boost developer experience, system observability, and engineering efficiency. Foster a culture … engineering/SRE teams on internal tooling and shared services. Track record of delivering internal products that boost developer workflows, reliability, or deployment velocity. Hands-on experience with AI/ML platforms, MLOps, and deploying machine learning models into production environments. Core Focus Areas Core Platform Engineering Developer Experience (DevEx/DX) Engineering Productivity DevOps Tooling Observability Solutions More ❯