1 to 25 of 8,047 Artificial Intelligence Jobs in England

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 … Remote Skills to succeed in the role Active Learning, Adaptability, Bitbucket, Cloud Infrastructure (Aws), Code Reviews, Cross-Functional Work, Curiosity, Databricks Platform, Data Science, Data Storytelling, Digital Literacy, Emotional Intelligence, Empathy, Git, Initiative, Machine Learning, Problem Solving, Python (Programming More ❯

time to join us!# About the Role Level: 5Department: COOLocation: Southampton or LondonContract type: PermanentThe new role sits within Group Chief Operation Office and reports to Head of AI and Data Science. The key accountabilities for the role are as follows: AI/ML Solution Development : Design and implement advanced AI solutions spanning traditional machine learning, Generative AI, and … Agentic AI paradigms. This includes leading hands-on development of models and RAG pipelines to support enterprise-grade LLM applications. MLOps and LLMOps : Build and maintain scalable MLOps and LLMOps pipelines, enabling automation of model training, testing, deployment, and monitoring. Enable reproducibility, traceability, and performance optimization across all AI solutions. Vendor Product Evaluation & Onboarding : Lead the technical evaluation of third … party AI products and platforms, conducting benchmarking, sandbox testing, and assessing integration feasibility. Collaborate with procurement, legal, and security teams to ensure successful onboarding of approved vendors. Governance & Compliance : Define and enforce standards for model validation, bias detection, and explainability, ensuring alignment with internal governance frameworks and external regulations such as GDPR and FCA Platform Enablement: Leverage Databricks, Azure AI More ❯

to do. Come join us at the heart of trust! From reviews to user behaviours to internal systems, at Trustpilot we truly have big data. And, in our Applied AI team, we are leveraging AI and ML to transform data into value, drive product innovation, improve user experience, enrich Trustpilot's data ecosystem and enhance business growth. We are seeking … a Data Science Manager to join our Applied AI team, to help us in our mission. We are seeking a candidate with a proven track record in managing and developing a team of Data Scientists specializing in Applied AI, across junior, mid-level, and senior roles. The ideal candidate will also possess hands on experience throughout the entire ML modeling … collaborate with cross functional teams in product management, UX, data analytics, and engineering across various product contexts. This role involves managing the delivery and maintenance of highly impactful, innovative AI/ML solutions at scale. To effectively fulfil this role, you will have an extensive technical background and several years of experience as a Data Scientist/Applied AI Scientist More ❯

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 compliance with More ❯

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. Are you the right applicant for … this opportunity Find out by reading through the role overview below. 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 More ❯

and Internal Mobility Program (switching between projects, locations) LuxTalent platform (webinars, training, courses, paid certificates) ... and many 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 More ❯

fast-track your career and lead projects that deliver tangible business results. What you will do Act as trusted advisor to board-level stakeholders; co-create enterprise-wide data & AI roadmaps, operating models and investment cases. Shape and execute annual practice plan-investment, hiring plan, capability build, M&A or venturing plays, ensuring a healthy team pyramid and team members … existing relationships and expanding client engagements. What you will bring Master's (or Ph.D.) degree in a quantitative field with a focus on data analysis (e.g. computer science, econometrics, AI, engineering, mathematics, physics, and other exact sciences). 10+ years of consulting experience or relevant industry experience, with at least 3+ years at a senior leadership level and a strong More ❯

goals. You will; help the organisation gain the benefit from the data within our business systems. identify and exploit opportunities to integrate operational and telemetry data into our Business Intelligence ensure the organisation adheres to the key principles of information management, particularly Accountability, Integrity, Compliance and Usability. This role involves leading data governance, analytics, and data management initiatives, ensuring … problem-solving skills, with a strong business acumen. Exceptional communication and interpersonal skills, with the ability to influence and engage stakeholders at all levels. Familiarity with machine learning and artificial intelligence applications in business contexts. Experience within the construction industry can be advantageous. Strong project management skills and experience managing cross-functional teams. Vendor Management, particularly Managed Service More ❯

goals. You will; help the organisation gain the benefit from the data within our business systems. identify and exploit opportunities to integrate operational and telemetry data into our Business Intelligence ensure the organisation adheres to the key principles of information management, particularly Accountability, Integrity, Compliance and Usability. This role involves leading data governance, analytics, and data management initiatives, ensuring … problem-solving skills, with a strong business acumen. Exceptional communication and interpersonal skills, with the ability to influence and engage stakeholders at all levels. Familiarity with machine learning and artificial intelligence applications in business contexts. Experience within the construction industry can be advantageous. Strong project management skills and experience managing cross-functional teams. Vendor Management, particularly Managed Service More ❯

goals. You will; help the organisation gain the benefit from the data within our business systems. identify and exploit opportunities to integrate operational and telemetry data into our Business Intelligence ensure the organisation adheres to the key principles of information management, particularly Accountability, Integrity, Compliance and Usability. This role involves leading data governance, analytics, and data management initiatives, ensuring … problem-solving skills, with a strong business acumen. Exceptional communication and interpersonal skills, with the ability to influence and engage stakeholders at all levels. Familiarity with machine learning and artificial intelligence applications in business contexts. Experience within the construction industry can be advantageous. Strong project management skills and experience managing cross-functional teams. Vendor Management, particularly Managed Service More ❯

goals. You will; help the organisation gain the benefit from the data within our business systems. identify and exploit opportunities to integrate operational and telemetry data into our Business Intelligence ensure the organisation adheres to the key principles of information management, particularly Accountability, Integrity, Compliance and Usability. This role involves leading data governance, analytics, and data management initiatives, ensuring … problem-solving skills, with a strong business acumen. Exceptional communication and interpersonal skills, with the ability to influence and engage stakeholders at all levels. Familiarity with machine learning and artificial intelligence applications in business contexts. Experience within the construction industry can be advantageous. Strong project management skills and experience managing cross-functional teams. Vendor Management, particularly Managed Service More ❯

goals. You will; help the organisation gain the benefit from the data within our business systems. identify and exploit opportunities to integrate operational and telemetry data into our Business Intelligence ensure the organisation adheres to the key principles of information management, particularly Accountability, Integrity, Compliance and Usability. This role involves leading data governance, analytics, and data management initiatives, ensuring … problem-solving skills, with a strong business acumen. Exceptional communication and interpersonal skills, with the ability to influence and engage stakeholders at all levels. Familiarity with machine learning and artificial intelligence applications in business contexts. Experience within the construction industry can be advantageous. Strong project management skills and experience managing cross-functional teams. Vendor Management, particularly Managed Service More ❯

goals. You will; help the organisation gain the benefit from the data within our business systems. identify and exploit opportunities to integrate operational and telemetry data into our Business Intelligence ensure the organisation adheres to the key principles of information management, particularly Accountability, Integrity, Compliance and Usability. This role involves leading data governance, analytics, and data management initiatives, ensuring … problem-solving skills, with a strong business acumen. Exceptional communication and interpersonal skills, with the ability to influence and engage stakeholders at all levels. Familiarity with machine learning and artificial intelligence applications in business contexts. Experience within the construction industry can be advantageous. Strong project management skills and experience managing cross-functional teams. Vendor Management, particularly Managed Service 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 ❯

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 ❯

in multiple locations — London, Edinburgh, Newcastle, and Erskine — with the expectation to attend any of these offices when required. 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 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. Location & Work Arrangement: Hybrid … days per week in the office in London or Edinburgh ; 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 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. Location & Work Arrangement: Hybrid … days per week in the office in London or Edinburgh ; 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 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. Location & Work Arrangement: Hybrid … days per week in the office in London or Edinburgh ; 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 More ❯

Role As a Senior Python Backend Engineer specializing in GenAI Solutions, you will play a critical role in designing, developing, and optimizing advanced cloud-based applications that leverage generative AI capabilities. This hands-on position requires deep technical expertise to translate business needs into robust, scalable, and intelligent software solutions. Your responsibilities: Software Design & Development: Design, develop, and maintain high … specifications, architectural designs, and API contracts. Create and implement microservice architectures via APIs and services, ensuring seamless integration and data flow. GenAI Application Development: Develop and integrate advanced Generative AI models and Agentic AI approaches into new and existing applications. Optimize application code and architecture for performance, scalability, security, and cost-effectiveness. Work with data scientists to integrate Agents into … within the application code, including secure authentication and authorization mechanisms. Continuous Improvement & Mentorship: Stay abreast of the latest industry trends, programming languages, and advancements in software engineering and Generative AI application development. Continuously seek opportunities to improve application development practices and code quality. Mentor junior developers, provide technical guidance, and assist in onboarding new team members regarding application design and More ❯

Role summary: As a Principal Data Scientist (individual contributor), you will play a hands-on role in designing, building, and deploying scalable AI solutions that go beyond prototypes and are actively used in production. You'll work closely with collaborative teams to co-develop innovative products for financial markets and professionals.We're looking for someone who combines deep technical expertise … business needs and production-grade standards. What you'll be doing: This is a hands-on technical leadership role in a high-impact environment focused on delivering production-ready AI systems. Lead the end-to-end development of AI solutions: design, build, test, and deploy models that are robust, scalable, and used by real users. Apply NLP and LLM techniques … to solve real-world problems, ensuring models are optimized for performance and reliability. Continuously improve model quality through tuning, evaluation, and feedback from production usage. Evaluate third-party AI solutions with a critical eye on performance, scalability, and integration into production environments. Write and maintain production-grade Python code , adhering to best practices in software engineering and model development. Collaborate More ❯

is a fast-growing technology company based in London, dedicated to building innovative solutions that transform the way people and businesses interact with data. With a strong focus on AI, machine learning, and advanced analytics, they are tackling complex challenges and driving data-led decision-making across their industry. The Opportunity: We are partnering with our client to find a … findings into clear and actionable recommendations for both technical and non-technical audiences. Ensure data quality and integrity while building scalable solutions. Stay current with the latest developments in AI, machine learning, and data science methodologies. Experienced Needed: Masters or PhD in a STEM subject Proficiency in Python, with experience in libraries such as pandas, scikit-learn, TensorFlow, or PyTorch. More ❯

is a fast-growing technology company based in London, dedicated to building innovative solutions that transform the way people and businesses interact with data. With a strong focus on AI, machine learning, and advanced analytics, they are tackling complex challenges and driving data-led decision-making across their industry. The Opportunity: We are partnering with our client to find a … findings into clear and actionable recommendations for both technical and non-technical audiences. Ensure data quality and integrity while building scalable solutions. Stay current with the latest developments in AI, machine learning, and data science methodologies. Experienced Needed: Masters or PhD in a STEM subject Proficiency in Python, with experience in libraries such as pandas, scikit-learn, TensorFlow, or PyTorch. More ❯