1 to 25 of 3,077 AI Jobs in the UK excluding London

Manchester/Madrid (1 Position) Position Purpose The Senior Data Scientist is responsible for designing and developing advanced tools and products that leverage Machine Learning, Data Science, and Generative AI techniques using data sourced from various internal and external platforms. This role focuses on increasing supply chain efficiency, boosting productivity, and delivering measurable value to customers by implementing innovative models … monitoring deployed models. Lead and mentor junior data scientists and analysts, fostering skill development and best practices within the team. Drive continuous innovation by exploring emerging data science and AI technologies, including generative AI for supply chain applications. Communicate insights, risks, and recommendations effectively to both technical and non-technical stakeholders. Support prioritization and management of data science workstreams to More ❯

as Kafka, Airflow, and Spark to build scalable and efficient data pipelines Ability to design, build, and deploy data solutions that capture, explore, transform, and utilize data to support AI, ML, and BI Strong ability in programming languages such as Java, Python, and C/C++ Ability in data science languages/tools such as SQL, R, SAS, or Excel More ❯

a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Data Analytics & AI - Data Science & AI - Senior Consultant EY exists to build a better working world. We empower our people by offering the culture, tech, teams, scale, challenges, learning, and the relationships for … EY teams ask better questions to find new answers for the complex issues facing our world today. The Team and the opportunity As part of our Data Analytics and AI team, the Data Scientist & AI role is pivotal in enabling our clients to derive significant value from their information assets. Through collaboration and domain expertise, our team embeds innovative data … will play a key role in driving growth by developing new and existing client relationships and delivering first-class customer experience on high-profile engagements. The Data Analytics and AI team serve as trusted advisors, both practical and innovative, to embed innovative data analytics solutions into existing business areas and transforming data into strategic assets. Working across all industries, you More ❯

Project Description: We are seeking highly skilled and motivated Generative AI Engineers to join our growing AI team. You will be responsible for designing, developing, and deploying cutting-edge Generative AI solutions using LLMs, Transformers, and Diffusion models. This role involves working on enterprise-grade applications such as intelligent chatbots, document summarization, code assistants, and more. Responsibilities: Design, prototype, and … deploy Generative AI models (LLMs, Transformers, Diffusion models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data … stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, detect drift, and drive continuous improvement. Optimize inference performance and cost through model compression, quantization, and API optimization. Ensure More ❯

Project Description: We are seeking highly skilled and motivated Generative AI Engineers to join our growing AI team. You will be responsible for designing, developing, and deploying cutting-edge Generative AI solutions using LLMs, Transformers, and Diffusion models. This role involves working on enterprise-grade applications such as intelligent chatbots, document summarization, code assistants, and more. Responsibilities: Design, prototype, and … deploy Generative AI models (LLMs, Transformers, Diffusion models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data … stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, detect drift, and drive continuous improvement. Optimize inference performance and cost through model compression, quantization, and API optimization. Ensure More ❯

Project Description: We are seeking highly skilled and motivated Generative AI Engineers to join our growing AI team. You will be responsible for designing, developing, and deploying cutting-edge Generative AI solutions using LLMs, Transformers, and Diffusion models. This role involves working on enterprise-grade applications such as intelligent chatbots, document summarization, code assistants, and more. Responsibilities: Design, prototype, and … deploy Generative AI models (LLMs, Transformers, Diffusion models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data … stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, detect drift, and drive continuous improvement. Optimize inference performance and cost through model compression, quantization, and API optimization. Ensure More ❯

processes, identify gaps, and implement solutions that drive efficiency and innovation. Lead migration and upgrade projects for legacy systems, ensuring minimal disruption and maximizing system adoption across teams. Leverage AI/ML and analytics capabilities to enhance reporting, forecasting, and decision-making within these platforms. Lead end-to-end digital transformation initiatives, modernizing legacy systems and migrating critical business applications … Computer Science, or related field. Certifications: PMP, Digital Leader (Azure, AWS, or Google Cloud). Technical Depth: Expertise in at least two areas: Salesforce Sales Cloud, Cloud Networking, Security, AI, Storage, Private/Hybrid/Public Cloud, Data Protection, Disaster Recovery. Industry Trends: Experience with AI/ML-driven CRM solutions and cloud-native architectures More ❯

processes, identify gaps, and implement solutions that drive efficiency and innovation. Lead migration and upgrade projects for legacy systems, ensuring minimal disruption and maximizing system adoption across teams. Leverage AI/ML and analytics capabilities to enhance reporting, forecasting, and decision-making within these platforms. Lead end-to-end digital transformation initiatives, modernizing legacy systems and migrating critical business applications … Computer Science, or related field. Certifications: PMP, Digital Leader (Azure, AWS, or Google Cloud). Technical Depth: Expertise in at least two areas: Salesforce Sales Cloud, Cloud Networking, Security, AI, Storage, Private/Hybrid/Public Cloud, Data Protection, Disaster Recovery. Industry Trends: Experience with AI/ML-driven CRM solutions and cloud-native architectures More ❯

based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to solve complex, real-world problems through data science and analytics. Experience coaching and reviewing … data science efforts with broader business objectives. Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations More ❯

based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to solve complex, real-world problems through data science and analytics. Experience coaching and reviewing … data science efforts with broader business objectives. Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations More ❯

based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to solve complex, real-world problems through data science and analytics. Experience coaching and reviewing … data science efforts with broader business objectives. Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations More ❯

Cloud & DevOps: Experience with AWS cloud services, Terraform, Docker, Kubernetes Agile/DevOps: Experience with Agile methodologies, CI/CD pipelines, and project management tools (Jira, Confluence, Bitbucket). AI/ML: Exposure to AI/ML projects or data analytics. Benefits and Perks Our comprehensive offering is designed around flexibility, well-being, and continuous growth, ensuring that you have More ❯

Cloud & DevOps: Experience with AWS cloud services, Terraform, Docker, Kubernetes Agile/DevOps: Experience with Agile methodologies, CI/CD pipelines, and project management tools (Jira, Confluence, Bitbucket). AI/ML: Exposure to AI/ML projects or data analytics. Benefits and Perks Our comprehensive offering is designed around flexibility, well-being, and continuous growth, ensuring that you have More ❯

Cloud & DevOps: Experience with AWS cloud services, Terraform, Docker, Kubernetes Agile/DevOps: Experience with Agile methodologies, CI/CD pipelines, and project management tools (Jira, Confluence, Bitbucket). AI/ML: Exposure to AI/ML projects or data analytics. Benefits and Perks Our comprehensive offering is designed around flexibility, well-being, and continuous growth, ensuring that you have More ❯

visualizations to communicate insights to non-technical stakeholders. Ensure data quality, integrity, and security throughout the analytics lifecycle. Keep up-to-date with the latest developments in data science, AI, and machine learning. Required Skills & Experience Proven experience as a Data Scientist or in a similar role. Strong programming skills in Python, R, or SQL . Hands-on experience with More ❯

AI Solutions Engineer AI Solutions, B2B, B2C, Azure, AI Foundry, Open-AI, Microsoft Copilot Studio, Machine Learning, Python, TensorFlow, PyTorch, scikit-learn, Large Language Models, LLM, Data preprocessing, REST API, Microservices architecture, MLOps, CI/CD for ML, Power-BI, Docker, Kubernetes, AI Ethics, Cloud Platforms, AWS, Google Cloud Platform, SQL, NoSQL, DevOps, Financial services, Regulatory environments Contract Type: Hybrid …/Bedford Daily Rate: £600-£650 (via Umbrella) 9 months initial contract We are seeking two AI Solutions Engineers to lead the design, development, and deployment of AI solutions. This hands-on technical role focuses on building scalable AI-powered services for both B2B and B2C applications. The successful candidates will work under the coordination of the Lead Data Scientist … and closely with stakeholders to integrate AI capabilities into existing systems, leveraging advanced Microsoft Azure services. Day-to-day of the role: Design and develop AI solutions using Microsoft Azure services including AI Foundry, Open-AI services, and Microsoft Copilot Studio. Collaborate with cross-functional teams to integrate AI technologies into business processes and consumer applications. Manage the full lifecycle More ❯

Software Engineer - Generative AI page is loaded Software Engineer - Generative AIlocations: Newbury, GBRtime type: Full timeposted on: Posted Todaytime left to apply: End Date: November 3, 2025 (19 days left to apply)job requisition id: Summary: VIAVI has a 90+ year history of technical innovations that have evolved to keep pace and address our customer's most pressing business issues. … network analytics, customer experience, and automation. Own end-to-end delivery - from prototyping to production release. Build and optimize RAG pipelines, LLM integrations, and orchestration workflows Deploy and monitor AI workloads in containerized cloud environments (Docker, Kubernetes, AWS/GCP/Azure) Participate in code reviews, architecture discussions, and mentor junior engineers Collaborate cross-functionally with data science, product, and … operations teams Champion responsible AI practices and safety mechanisms in all development work Pre-Requisites/Skills/Experience Requirements: Bachelor's degree in Computer Science, Software Engineering, or related field (Master's a plus) Extensive experience in professional software development Strong Python skills and a track record of delivering maintainable, well-tested code Experience with LLM APIs (OpenAI, Hugging More ❯

revolutionising financial insights and market intelligence for LBG and our customers. It's a critical role to us, as you'll drive the evolution of data analytics solutions and AI capabilities, by developing and delivering solutions that are aligned with our group technical strategy and help achieve our lab's goals and priorities. What you'll do Be responsible for … to ensure timely delivery. Get the opportunity to work with modern tech, data stacks, and cloud-based architectures, managing both the foundational data solutions alongside the adoption of advanced AI and ML capabilities. Work alongside the team Product Owner to plan and manage the delivery of feature roadmap to drive continuous improvement and operational excellence. Why Lloyds Banking Group We …/Cloud Architect certifications Good appreciation of data security and privacy, and architectural implications it has on application design. Modern progressive technologies– e.g. batch/streaming pipelines, machine learning, artificial intelligence etc. High-level knowledge of QA, data quality, and software quality tools such as SonarQube, etc. About working for us Our ambition is to be the leading UK business More ❯

We are looking for a Tech lead who has strong experience insoftware engineering, data engineering,andcloud engineering, with recent leadership in Gen AI and ML solution delivery. Description Accountabilities Collaborate with product teams: Provide technical direction and support for Gen AI solutions across cross-functional groups. Own Gen AI product vision: Define and communicate the technical vision, ensuring solutions meet … product goals. Document technical designs: Maintain clear designs and project documentation, refine user stories, and manage resources and timelines. Identify and manage technical risks: Proactively assess Gen AI-specific risks such as model bias and data privacy and ensure visibility of mitigation strategies. Lead and mentor teams: Inspire technical teams, foster collaboration, and encourage innovation in Gen AI development. Define … governance frameworks: Establish standards for Gen AI product development, including ethical and responsible AI practices. Deliver service readiness: Ensure Gen AI solutions meet Service Acceptance Criteria for successful deployment. Ensure compliance and data security: Align development with regulatory, security, and industry requirements throughout the lifecycle. Oversee DevOps, DataOps, and MLOps: Ensure Gen AI solutions adhere to coding, security, and performance More ❯

Are you a Graduate AI Engineer ready to launch your career in Artificial Intelligence? We’re looking for a driven and curious Graduate AI Engineer to join our hybrid-working team in London . You’ll be part of a collaborative group of engineers and data scientists developing and deploying cutting-edge AI solutions that make a real impact. This … solve real-world problems. In this role, you’ll: 🧠 Design, train, and evaluate machine learning and deep learning models for real-world applications 🛠 Support the development and optimisation of AI pipelines — from data preprocessing to model deployment 📊 Experiment with techniques across NLP, computer vision, and predictive analytics 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable … Development Pathway – Build a strong foundation in AI engineering and progress toward senior roles as you grow. What We’re Looking For: 🎓 A degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field 🐍 Proficiency in Python and familiarity with libraries such as TensorFlow, PyTorch, or scikit-learn 🧩 Understanding of machine learning algorithms and statistical modelling 📈 Strong problem More ❯

Are you a Graduate AI Engineer ready to launch your career in Artificial Intelligence? We’re looking for a driven and curious Graduate AI Engineer to join our hybrid-working team in London . You’ll be part of a collaborative group of engineers and data scientists developing and deploying cutting-edge AI solutions that make a real impact. This … solve real-world problems. In this role, you’ll: 🧠 Design, train, and evaluate machine learning and deep learning models for real-world applications 🛠 Support the development and optimisation of AI pipelines — from data preprocessing to model deployment 📊 Experiment with techniques across NLP, computer vision, and predictive analytics 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable … Development Pathway – Build a strong foundation in AI engineering and progress toward senior roles as you grow. What We’re Looking For: 🎓 A degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field 🐍 Proficiency in Python and familiarity with libraries such as TensorFlow, PyTorch, or scikit-learn 🧩 Understanding of machine learning algorithms and statistical modelling 📈 Strong problem More ❯

Are you a Graduate AI Engineer ready to launch your career in Artificial Intelligence? We’re looking for a driven and curious Graduate AI Engineer to join our hybrid-working team in London . You’ll be part of a collaborative group of engineers and data scientists developing and deploying cutting-edge AI solutions that make a real impact. This … solve real-world problems. In this role, you’ll: 🧠 Design, train, and evaluate machine learning and deep learning models for real-world applications 🛠 Support the development and optimisation of AI pipelines — from data preprocessing to model deployment 📊 Experiment with techniques across NLP, computer vision, and predictive analytics 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable … Development Pathway – Build a strong foundation in AI engineering and progress toward senior roles as you grow. What We’re Looking For: 🎓 A degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field 🐍 Proficiency in Python and familiarity with libraries such as TensorFlow, PyTorch, or scikit-learn 🧩 Understanding of machine learning algorithms and statistical modelling 📈 Strong problem More ❯

will be invaluable in suggesting improvements to enhance quality and streamline workflows, ensuring we continue to exceed our customers' expectations. What you'll be doing Design, develop, and maintain AI-driven automation systems Collaborate with data scientists, software engineers, and product teams to understand and deliver AI-based solutions. Build new tools and technology Assist in monitoring and maintenance of … programming experience, preferably with Python for scripting and working with machine learning tools Ability to design, implement, and optimize solutions leveraging LLMs via API Experience using various LLMs (Open AI, Anthropic APIs) and AI Frameworks like langchain, Tensorflow etc. Hands-on experience testing AI-powered features (e.g., recommendation systems, computer vision models, chatbots). 2+ years of experience developing test … able to work independently Previous experience with Non-Functional Testing (Performance Testing, Stress Testing) Experience with infrastructure as code and orchestration technologies (Terraform, Kubernetes, CloudFormation) Certifications or training in AI/ML or AI testing (e.g., Coursera AI for Everyone, Google AI Engineer, ISTQB AI Testing Foundation) Benefits Roku is committed to offering a diverse range of benefits as part More ❯

AI Engineer (Machine Learning Expertise) Reporting to: Engineering Manager Office Environment: Hybrid (minimum two days per week) Type: Full time, Permanent SC Eligibility Required Joining Our Mission Shape the future. Make an impact. At QuantSpark, pioneering the strategic application of data, analytics, and AI is at the heart of our work. We empower businesses and government to thrive, not just … scale, and forging solutions that leave a legacy of prosperity and efficiency. Here, engineers and strategists collaborate daily, compressing years of traditional progression into an accelerated path. As an AI Engineer, you'll operate at both the visionary and technical frontier, steering teams who build, own, and transform essential platforms and products. Our Client Portfolio We work with high-growth … organisations and sector leaders: Financial Services & Private Equity: Delivering AI-powered analytics, risk, and operational tools. Retail & Consumer Brands: Optimising pricing, inventory, and engagement through actionable analytics. Asset Management: Developing investment infrastructure and automated risk management systems. Public Sector: Trusted by government departments for fraud analytics, predictive maintenance, and operations optimisation. SaaS & Manufacturing: Driving technological transformation and efficiency across verticals. More ❯

Job title: AI & Data Developer Reports to: Head of AI and Data Location: Hybrid (strong preference for Reading office) Hours: Monday to Friday, 37.5 hours per week Salary: Competitive + BCN benefits About BCN: At BCN we unite people and technology to enable organisations to fly. We believe people and organisations can achieve anything using technology to it's full … learning solutions, aligned to operational goals and governance standards. Prepare and transform data for modelling using Python and Azure-native tools, ensuring quality and consistency across the ML and AI lifecycles. Evaluate, and deploy models using AutoML, MLflow, and custom pipelines, with a focus on performance, scalability, and maintainability. Monitor model performance, detect drift, and implement retraining strategies to maintain … relevance and accuracy. Apply responsible AI principles including fairness, explainability, and privacy to support ethical and transparent model development. Collaborate with cross-functional teams to integrate ML and AI solutions into business processes, improving engagement, productivity, and decision-making. Support our clients maintain and optimise Azure ML environments to deliver reproducible experimentation and efficient deployment. Person, Skills & Experience: Certified in More ❯