1 to 25 of 4,962 AI 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 More ❯

wealth management), architectural leadership, and transformation technology experience. The ideal candidate will be responsible for shaping and delivering strategic modernisation efforts, spanning core platforms, data and digital initiatives, and AI-driven innovation in alignment with regulatory, operational, and customer-focused priorities with a key focus on Change the Bank (CTB) . The Opportunity Strategic Technology Leadership Define the future-state … and client engagement platforms (e.g., advisor portals, investor dashboards, digital onboarding, portfolio analytics). Support rationalisation and integration of fragmented technology estates resulting from mergers, acquisitions, or platform expansion. AI & Data Strategy Enablement Identify and drive AI and data-driven use cases relevant to investment advisory, client servicing, risk management, and operational automation (e.g., hyper-personalisation, RPA, document intelligence, GenAI … middle and back-office systems, and associated data flows. Hands-on experience with cloud-native platforms (AWS, Azure, GCP) , API management , enterprise integration , and data architecture . Exposure to AI/ML or Generative AI in real-world applications (e.g., NLP, entity extraction, predictive analytics, conversational AI). Deep appreciation of regulatory landscape , data privacy, and cybersecurity needs within financial 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 ❯

VP Digital Insights and Artifical Intelligence - UK We are seeking a highly capable and strategic VP Digital Insights and Artificial Intelligence to lead on own the strategy, implementation, and governance of data, analytics and AI platform architecture across the organization. This newly created role is responsible for shaping the company's approach to information management, enterprise data management, which includes … predictive and prescriptive analytics use cases that inform strategic decisions and improve operational outcomes Champion self-service analytics and empower business teams to access and use data confidently Responsible Artificial Intelligence & Automation Identify, evaluate, and deliver AI initiatives including: Conversational AI (e.g., chatbots, virtual assistants) Machine Learning and Predictive Models for forecasting and optimization Collaborate with product, operations, and technology … of emerging trends and technologies in AI, machine learning, cloud platforms, and analytics to inform strategic decisions Your Profile Master's degree or PhD in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Engineering, or a related field Executive education or certifications in AI strategy, digital transformation, or innovation (e.g., MIT, Stanford, INSEAD programs) Certifications in cloud platforms (AWS, Azure 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. 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 ❯

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 ❯

Overview We're seeking a Senior Data Scientist to lead the development of advanced analytics and AI/ML solutions that unlock real value across our business. This is a contract role for 6 months . In this contract role, you'll work with proprietary and B2B research datasets to design, deliver, and scale data-driven products. Collaborating closely with … governance in data science. Proven ability to manage and mentor data science teams. Evidence of taking a company or department on a journey from Analytics to Data Science to AI and ML deployed at scale. Ability to translate complex analysis findings into clear narratives and actionable insights. Excellent communication skills, with the ability to listen and collaborate with non-technical 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 ❯

or call TCS London Office number 02031552100/+44 204 520 2575 with the subject line: “Application Support Request”. Do you have the expertise in developing and implementing AI solutions? We have a great role for you – AI Engineer! Careers at TCS: It means more TCS is a purpose-led transformation company, built on belief. We do not just … with the range of teams within the business to bring products to life. Opportunity to work for one or more large UK & European Banking clients. The Role: As an AI Engineer , you will join our dynamic technology and compliance team, focusing on regulatory adherence and automation of controls within the banking sector. You will be responsible for designing, developing, and … technical specifications and automated controls. Experience in delivering solutions in Agile environments and working with cross-functional teams. Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field. Desirable skills/knowledge/experience: Experience in RegTech or working with compliance and audit teams in a banking or financial services context. Certification in Google More ❯

or call TCS London Office number 02031552100/+44 204 520 2575 with the subject line: “Application Support Request”. Do you have the expertise in developing and implementing AI solutions? We have a great role for you – AI Engineer! Careers at TCS: It means more TCS is a purpose-led transformation company, built on belief. We do not just … with the range of teams within the business to bring products to life. Opportunity to work for one or more large UK & European Banking clients. The Role: As an AI Engineer , you will join our dynamic technology and compliance team, focusing on regulatory adherence and automation of controls within the banking sector. You will be responsible for designing, developing, and … technical specifications and automated controls. Experience in delivering solutions in Agile environments and working with cross-functional teams. Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field. Desirable skills/knowledge/experience: Experience in RegTech or working with compliance and audit teams in a banking or financial services context. Certification in Google More ❯

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 Providers More ❯

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 Providers More ❯

Job Title: Lead AI Developer Base Location: London plus network of 20 offices nationally: www.kpmg88careers.co.uk/experienced-professional/#LeBlender.OfficeLocations The KPMG Audit Technology team is dedicated to building cutting-edge solutions in close collaboration with the Audit function. We blend audit expertise with the latest technology, enabling us to understand the challenges our customers face daily and develop indispensable … Developer The Audit Technology team at KPMG is driving innovation at the intersection of auditing and advanced technological solutions, reshaping the future of audit delivery. By combining expertise in Artificial Intelligence, Data Engineering, Data Analytics, and Software Development, the team is revolutionising the auditing process to deliver smarter, faster, and more reliable outcomes. Our mission is to design and implement … Skills: Strong communication skills, with the ability to explain technical concepts to varied audiences in a clear and accessible manner. Qualifications: Bachelor (preferably master or PhD) in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related technical field. Advanced certifications in AI, machine learning, cloud computing or data engineering are highly advantageous - desirable Professional accounting qualification preferred, however More ❯

Job Title: Lead AI Developer Base Location: London plus network of 20 offices nationally: www.kpmg88careers.co.uk/experienced-professional/#LeBlender.OfficeLocations The KPMG Audit Technology team is dedicated to building cutting-edge solutions in close collaboration with the Audit function. We blend audit expertise with the latest technology, enabling us to understand the challenges our customers face daily and develop indispensable … Developer The Audit Technology team at KPMG is driving innovation at the intersection of auditing and advanced technological solutions, reshaping the future of audit delivery. By combining expertise in Artificial Intelligence, Data Engineering, Data Analytics, and Software Development, the team is revolutionising the auditing process to deliver smarter, faster, and more reliable outcomes. Our mission is to design and implement … Skills: Strong communication skills, with the ability to explain technical concepts to varied audiences in a clear and accessible manner. Qualifications: Bachelor (preferably master or PhD) in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related technical field. Advanced certifications in AI, machine learning, cloud computing or data engineering are highly advantageous - desirable Professional accounting qualification preferred, however More ❯

at a large Consulting firm (preferably Analytics consulting) Experience in the financial services industry Degree in a quantitative field (Statistics, Computer Science, Mathematics, etc.) Knowledge of machine learning and AI applications Familiarity with data governance frameworks Understanding of agile methodologies Experience mentoring junior team members Knowledge of programming languages commonly used in analytics (Python, R, SQL) Experience with data visualization More ❯

Technically sharp AI Prompt Engineer Youll design and optimize prompts, build LLM-powered applications, and deploy scalable GenAI solutions that connect people and intelligent systems in new ways. ?? What Youll Do Design, test, and refine prompts for leading LLMs (GPT-4/5, Claude, Gemini, Mistral, LLaMA, Cohere). Experiment with advanced prompting techniques; Chain-of-Thought, ReAct, Tree-of … Thoughts, and more. Deploy AI/ML pipelines using Azure ML, AWS SageMaker, Vertex AI, or Databricks. Integrate LLMs into production apps using LangChain, LlamaIndex, and RAG architectures. Build APIs and microservices for scalable AI deployment. Use AI-powered dev tools like GitHub Copilot, Cursor, and Codeium to speed up iteration. Apply MLOps/LLMOps practices with MLflow, Weights & Biases … and collaboration skills. Curious, adaptable, and passionate about staying at the edge of Generative AI. ?? Nice to Have Experience with PromptOps tools (PromptLayer, Humanloop, LangFuse). Knowledge of ethical AI, bias mitigation, responsible AI principles. Bachelors or Masters degree in Computer Science, AI/ML or related field. Tech Stack LLMs: GPT-4/5, Claude, Gemini, Mistral, LLaMA, Cohere More ❯

AI Prompt Engineer Location: UK Rate: £400.00 Outside IR35 We are seeking a dedicated and technically proficient AI Prompt Engineer to spearhead the development and optimisation of prompts for advanced platforms such as DealCloud, Filament Sifter, and Capsa. The ideal candidate will possess hands-on experience with generative AI technologies, leveraging their skills to significantly enhance user interactions and outcomes. … This role involves close collaboration with leading AI vendors to ensure optimal prompt performance and foster innovation. In addition to prompt engineering, the successful candidate will play a vital role in supporting chatbot development and integrating AI-driven insights into enterprise workflows and interactive dashboards, thereby driving efficiency and improving decision-making processes across the organisation. Key Responsibilities: Develop, test … and refine high-quality prompts tailored for DealCloud, Filament Sifter, and Capsa use cases. Work closely with AI vendors such as ChatGPT, Claude, and Perplexity to enhance prompt performance and relevance. Support the design and implementation of AI-powered chatbots within DealCloud to improve user interaction and automation. Collaborate with data engineers and visualisation specialists to embed AI-driven insights More ❯

We’re looking for a customer champion with strong technical curiosity and a passion for helping people succeed with AI. As an AI Digital Assistant Success Specialist , you’ll be at the heart of improving our enterprise digital assistants experience (which includes a combination of internal and external tools such as ChatGPT) . You’ll help users get the most … more satisfying. This is a great role for someone who loves solving problems, thrives in fast-evolving tech environments, and wants to play a key part in shaping how AI transforms employee experience. This is a 12 month Fixed Term contract and you will be required to work in hybrid model in our Guildford office 3 days per week. Key … issues, ensuring fast, friendly, and accurate responses. Identify recurring issues, patterns, and opportunities for product improvement. Act as the voice of the customer — championing feedback and insights across teams. AI Operations & Collaboration Partner with AI Engineering and Product teams to improve model accuracy, coverage, and behavior. Translate real-world user challenges into actionable insights and enhancement requests. Participate in roadmap More ❯

AI Engineer [Analyst/Associate] About the job As an AI engineer on the AI team at Cerberus, you’ll work on high-impact projects that combine the pace of a startup with the reach of a global investment platform. Our team partners directly with internal investment desks as well as portfolio companies across industries to build and deploy machine … learning systems that accelerate decision-making and unlock business value. You’ll design, implement and deploy production-grade AI and ML systems, ranging from NLP pipelines that extract insights from complex documents to integrating models with third-party services to streamline workflows. We’re looking for AI engineers who care about impact: people who want to see their models not … just trained, but deployed, adopted, and driving measurable results. What You’ll Do Design and deliver AI systems: Build and deploy machine learning models and data-driven products that directly impact investment decisions and portfolio company performance. Drive measurable impact: Partner with internal desks and portfolio teams to integrate ML products into their existing workflows to drive high adoption and More ❯

AI Engineer [Analyst/Associate] About the job As an AI engineer on the AI team at Cerberus, you’ll work on high-impact projects that combine the pace of a startup with the reach of a global investment platform. Our team partners directly with internal investment desks as well as portfolio companies across industries to build and deploy machine … learning systems that accelerate decision-making and unlock business value. You’ll design, implement and deploy production-grade AI and ML systems, ranging from NLP pipelines that extract insights from complex documents to integrating models with third-party services to streamline workflows. We’re looking for AI engineers who care about impact: people who want to see their models not … just trained, but deployed, adopted, and driving measurable results. What You’ll Do Design and deliver AI systems: Build and deploy machine learning models and data-driven products that directly impact investment decisions and portfolio company performance. Drive measurable impact: Partner with internal desks and portfolio teams to integrate ML products into their existing workflows to drive high adoption and More ❯

Role: GenAI Architect Duration: long term Roles and Responsibilities: Educational Qualifications: Graduate or Doctorate degree in information technology, Neuroscience, Business Informatics, Biomedical Engineering, Computer Science, Artificial Intelligence, or a related field. Specialization in Natural Language Processing is preferred. Experience Requirements: 10 years+ of experience in developing Data Science, AI, and ML solutions, with a specific focus on generative AI and … LLMs in the Finance/Telecomm/LSH/Manufacturing/Retail domain. Prior experience in identifying new opportunities to optimize the business through analytics, AI/ML and use case prioritization. The individual should be a thought leader having a well-balanced analytical business acumen, domain, and technical expertise. Large Language Model Expertise: Experience in working with and fine … of NLP systems, frameworks, and tools. Application Development with LLMs: Experience in building scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc and productionizing machine learning and AI models. Language Model Development: Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications. Cloud Computing Expertise: Proven architect kind of experience in cloud More ❯

Role: GenAI Architect Duration: long term Roles and Responsibilities: Educational Qualifications: Graduate or Doctorate degree in information technology, Neuroscience, Business Informatics, Biomedical Engineering, Computer Science, Artificial Intelligence, or a related field. Specialization in Natural Language Processing is preferred. Experience Requirements: 10 years+ of experience in developing Data Science, AI, and ML solutions, with a specific focus on generative AI and … LLMs in the Finance/Telecomm/LSH/Manufacturing/Retail domain. Prior experience in identifying new opportunities to optimize the business through analytics, AI/ML and use case prioritization. The individual should be a thought leader having a well-balanced analytical business acumen, domain, and technical expertise. Large Language Model Expertise: Experience in working with and fine … of NLP systems, frameworks, and tools. Application Development with LLMs: Experience in building scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc and productionizing machine learning and AI models. Language Model Development: Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications. Cloud Computing Expertise: Proven architect kind of experience in cloud More ❯