51 to 75 of 6,170 Artificial Intelligence Jobs in the UK

knowledge to create end to end products to support key products. Ideally, you'll have experience from within the energy industry. You will - Support the creation & adoption of data & AI products across the wider SSEN business, ranging from traditional machine learning, generative AI, advanced analysis & statistics. - Work closely with business stakeholders to create high impact, value returning products to impact … on key business metrics. - Create sustainable cost optimised solutions (FinOps) & working with our data quality/governance teams & ensuring compliance to data security, GDPR & ethical AI best practice. - Leveraging advances in AI technology to work on data science innovation products to create a series of prototype products in emerging fields (Agentic AI) - Utilise best practice for coding standards, use of … stakeholder management skills, with the ability to drive value via end-to-end ownership of business use cases related problems. - Early experience of new tech - such as NLP & generative AI (familiarity with potential use cases, value & concerns - ethical AI, information security). - Front end development (GUI) experience with the ability to leverage the Azure Databricks platform (Databricks Apps) to create More ❯

Associate Director, Data Science and Innovation Are you a data science leader passionate about leveraging AI and machine learning to drive innovation in financial markets and transaction banking? Standard Chartered Bank is on an ambitious journey to embed cutting-edge AI solutions into all aspects of our Corporate and Investment Banking (CIB) business. We are looking for a senior data … LLMs) to help shape the future of financial services. Responsibilities Collaborate with product owners and business stakeholders to identify pain points, define use cases, and translate business needs into AI/ML solutions. Develop, test, and optimize AI models, ensuring they align with business goals and regulatory requirements. Work closely with MLOps engineers and the wider Tech and Data teams … Stay ahead of industry trends, particularly in Data Science, NLP, and GenAi advancements, and share insights across the team. Ensure data quality and governance standards are maintained across all AI and analytics projects. Support risk and audit management for AI applications, identifying potential risks and ensuring compliance with regulatory frameworks. Skills and Qualifications Skills & Expertise Strong experience in machine learning More ❯

authority for all digital workspace products and services, with responsibility for supporting the desired architecture, integration, configuration, and lifecycle management across platforms like Microsoft 365, Azure, Intune, and Gen-AI tooling. You'll lead the technical delivery and automation of services across the Digital Employee Experience ecosystem, covering end-user computing, device management, hardware/software provisioning, service desk operations … PowerShell, Graph API, and automation platforms. You'll develop and maintain APIs and integrations across workspace systems (e.g., ServiceNow, JAMF, DEX tools). You'll drive the adoption of AI-based automation and telemetry ingestion for continuous service improvement. You'll embed Gen-AI technologies (e.g., Microsoft Copilot, OpenAI APIs) into workspace tools and processes to enhance digital workflows and … employee interactions. You'll use AI/ML techniques to build predictive maintenance models for device and application health. You'll support the definition of architecture for AI-enhanced service desk automation, including copilots, bots, and intelligent knowledge management. You'll implement and fine-tune Digital Experience Monitoring (DEM) tools to measure system health, device usage, and performance. You'll More ❯

authority for all digital workspace products and services, with responsibility for supporting the desired architecture, integration, configuration, and lifecycle management across platforms like Microsoft 365, Azure, Intune, and Gen-AI tooling. You'll lead the technical delivery and automation of services across the Digital Employee Experience ecosystem, covering end-user computing, device management, hardware/software provisioning, service desk operations … PowerShell, Graph API, and automation platforms. You'll develop and maintain APIs and integrations across workspace systems (e.g., ServiceNow, JAMF, DEX tools). You'll drive the adoption of AI-based automation and telemetry ingestion for continuous service improvement. You'll embed Gen-AI technologies (e.g., Microsoft Copilot, OpenAI APIs) into workspace tools and processes to enhance digital workflows and … employee interactions. You'll use AI/ML techniques to build predictive maintenance models for device and application health. You'll support the definition of architecture for AI-enhanced service desk automation, including copilots, bots, and intelligent knowledge management. You'll implement and fine-tune Digital Experience Monitoring (DEM) tools to measure system health, device usage, and performance. You'll More ❯

complement our world-leading ETP & ETF business. The Engineering team is responsible for all aspects of software development for the firm, including platform engineering, quant engineering, and ML and AI infrastructure and implementation. As part of a nimble team in a growing organisation, you will be collaborating and developing real time solutions with your colleagues on a constant basis. Our … the Head of Engineering as required. Technical implementation of the quant research environment and all data used in trading and quant research, including data used in Machine Learning and AI and the infrastructure to fully exploit the signals within. Lead and inspire a team of engineers to deliver solutions for Traders, Quants and Operations. Oversee team development and performance, ensuring … business objectives and goals are successfully achieved. Innovate for opportunities to improve development speed and quality including automation and AI process improvement. Lead the design of low-latency services and data pipelines. Ensure scalability, reliability, and performance across all components and consistency and maintainability across firmwide technology. Contribute directly to backend systems in Golang and Python, optimizing for performance and 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 ❯

with strong engineering skills and a passion for enabling innovation through technology. Key Responsibilities Design and deploy interactive tools and dashboards for portfolio analytics and research insights. Integrate generative AI solutions to accelerate research workflows and portfolio management. Build and maintain reusable data assets tailored to research needs. Automate recurring reporting processes and develop tools for on-demand analysis. Create … and serverless functions. Solid understanding of Microsoft 365 and general IT infrastructure (Mac and PC environments). Strong communication skills and a user-first mindset. Relevant certifications in data, AI, or automation are advantageous. Degree in Computer Science, Information Systems, or a related field. Minimum of 5 years' experience in a similar role. Apply Now More ❯

performance of deployed models, making updates and improvements as necessary. Work closely with the data engineer and Principal ML engineer. Stay updated with the latest advancements in machine learning, AI, and data science Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field. 3+ years' experience in implementing scalable ML systems … . Experience building an enterprise-class business automation solution is a plus. Experience working in a SaaS environment a plus. Stay updated with the latest advancements in machine learning, AI, and data science. About Conexiom: Conexiom is a cloud-based, purpose-built automation platform that automates the most critical and complex B2B document transactions between buyers and sellers. Manufacturers and More ❯

relevant industry experience, with at least 3+ years at a project lead level. Master (or Ph.D.) degree in a quantitative field with a focus on data analysis (e.g. econometrics, AI, mathematics, physics, and other exact sciences). Sharp thinking ability to be able to quickly differentiate major contributors from irrelevant details and to hierarchically structure information residing in the data … Kubernetes), and CI/CD pipelines Working knowledge of embedding compliance and security in ML systems, including governance, access controls, and regulatory alignment (e.g., GDPR, HIPAA) Proficient with modern AI tooling and ecosystems, including Hugging Face, Cursor, vector DBs, and productivity tools that accelerate GenAI development Expertise in GenAI and LLMs, with hands-on experience in RAG solutions and agentic More ❯

drive engagement. Optimise customer journeys across digital touchpoints to maximise retention and bookings. Identify and prioritise new product features based on customer insights, market trends, and competitive analysis. Implement AI-driven personalisation and automation to enhance the customer experience. SEO & Performance Optimisation Lead technical and non-technical SEO initiatives to improve organic growth and search rankings. Work with developers to … environment. Strong analytical, communication, and negotiation skills. Desirable Skills (Not Essential but beneficial) Experience working with React, Next.js, or modern web frameworks. Hands-on software engineering background. Familiarity with AI-driven personalisation, automation, or chatbot integration. 25 days holiday + bank holidays. Company pension contribution. Modern office in the centre of Liverpool's business district. I wish to receive email More ❯

who want to be part of this our success and help drive our limitless ambitions. About the role The Data Science team drives the use of data, machine learning & AI to enhance internal decision-making and creates hyper-personalised customer experiences. Team members tackle diverse business challenges and explore various modelling paradigms. This dynamic environment provides ample opportunities for on … the-job development. The role focuses on optimising marketing spend, content, personalisation, and AI, positioning the right candidate as a key driver of our ambitious goals. Key responsibilities The role encompasses the full data science stack, from project scoping to deployment and performance monitoring. Key responsibilities include Sourcing and processing data using domain-specific/agnostic techniques Analysing data to More ❯

BigQuery, laying the foundation for a modern, scalable, and reliable data platform. You'll work closely with stakeholders across the business to ensure that our data architecture supports business intelligence, analytics, and data science needs. This is a hands-on leadership role, combining deep technical experience, strong project delivery skills, and people leadership. You will directly manage a team … skills. Experience working in agile environments and cross-functional teams. Desirable Experience in insurance or regulated industries. Familiarity with data privacy, GDPR, and data security practices. Exposure to business intelligence tools (e.g., Looker, Power BI) and ML/AI. We think we have a fantastic company culture and welcome new team members with open arms. We also offer a More ❯

with back-end APIs. Direct the analysis, planning, and managed retirement of outdated systems-ensuring functionality is transitioned without disruption. GenAI Drive the end-to-end engineering of generative-AI solutions-designing, building and operationalising pipelines that harness Claude (via Databricks), Azure OpenAI Service and ChatGPT-while enforcing robust security, governance and monitoring to deliver scalable, business-value-driven outcomes. … in influencing and motivating individuals and teams and used to operating up and down a multi-tiered management structure Beneficial to have experience building agentic solutions using Azure Open AI services and or Anthropic Claude. Strong experience managing work requests using the Scrum framework and utilising Azure DevOps to facilitate that work. Proficient in programming languages and tooling as follows More ❯

connectivity with back-end APIs. Direct the analysis, planning, and managed retirement of outdated systemsensuring functionality is transitioned without disruption. GenAI Drive the end-to-end engineering of generative-AI solutionsdesigning, building and operationalising pipelines that harness Claude (via Databricks), Azure OpenAI Service and ChatGPTwhile enforcing robust security, governance and monitoring to deliver scalable, business-value-driven outcomes. Integration Deliver … in influencing and motivating individuals and teams and used to operating up and down a multi-tiered management structure Beneficial to have experience building agentic solutions using Azure Open AI services and or Anthropic Claude. Strong experience managing work requests using the Scrum framework and utilising Azure DevOps to facilitate that work. Proficient in programming languages and tooling as follows More ❯

with back-end APIs. Direct the analysis, planning, and managed retirement of outdated systems-ensuring functionality is transitioned without disruption. GenAI Drive the end-to-end engineering of generative-AI solutions-designing, building and operationalising pipelines that harness Claude (via Databricks), Azure OpenAI Service and ChatGPT-while enforcing robust security, governance and monitoring to deliver scalable, business-value-driven outcomes. … in influencing and motivating individuals and teams and used to operating up and down a multi-tiered management structure Beneficial to have experience building agentic solutions using Azure Open AI services and or Anthropic Claude. Strong experience managing work requests using the Scrum framework and utilising Azure DevOps to facilitate that work. Proficient in programming languages and tooling as follows More ❯

business analysts, data stewards, and other developers. Cloud Technologies : Proficiency with cloud-native services and patterns across major platforms (AWS, Azure, GCP), including serverless functions and managed database services. AI Engineering : Basic understanding and interest in integrating AI capabilities for data quality, matching, and enrichment within master data management systems. Adaptability : Willingness to learn new technologies and approaches to solve More ❯

contact center modernization. Provide Technical Leadership and Mentorship - Guide other presales specialists with best practices in solution design for CCaaS. Drive Innovation and Emerging Technology Adoption - Stay updated on AI, ML, and automation trends in contact centers and apply them where relevant . Ensure Security, Compliance, and Best Practices - Maintain governance standards and compliance with industry regulations. Support Pre-Sales … Preferred Qualifications: Certifications: Zendesk certifications, AWS Certified Solutions Architect, or equivalent credentials in contact center platforms. Industry Knowledge: Experience in designing omnichannel contact center solutions, including voice, chat, and AI-driven automation, Workforce Engagement Management (including workforce and quality Management), contact center reporting and analytics tools Agile Methodologies: Experience working within Agile and DevOps frameworks. What We Offer: Competitive salary More ❯

to achieve their digital transformation goals and maximize their business impact through the effective use of data and AI. We leverage cutting-edge technologies in data analytics, data governance, AI-ML, GenAI/LLM and industry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth. Job role: Senior Software Engineer - PriceFX More ❯

Ourc client is leveraging AI-powered technology to break down the barriers to fair and profitable trade in emerging markets. Our clients Intelligent Open Commerce Platform connects FMCG Brands, Distributors, and Local Merchants on a single, equitable marketplace, empowering them with real-world insights and data to help them make better decisions. It enables FMCG Brands to seize new opportunities More ❯

Our client is leveraging AI-powered technology to break down the barriers to fair and profitable trade in emerging markets. Our clients Intelligent Open Commerce Platform connects FMCG Brands, Distributors, and Local Merchants on a single, equitable marketplace, empowering them with real-world insights and data to help them make better decisions. It enables FMCG Brands to seize new opportunities More ❯

Cloud consultancy. At Qodea, you'll be part of a team energised by innovation and passionate about delivering exceptional results. We craft cutting-edge solutions in data and analytics, AI, cloud infrastructure and security, driving digital transformation that empowers our customers to scale, modernise and lead in their industries. We're driven by ideas and powered by our people. We More ❯

Knowledge of or experience with: Linux/Unix operating systems Cloud Technologies (AWS, Azure, Google Cloud) DevOps tools (e.g., Docker, Kubernetes) Version Control Systems (e.g., Git) Machine Learning/AI technologies Software Development: Understanding of software development methodologies, including Agile and DevOps practices. Networking & Cybersecurity: Familiarity with networking protocols, firewalls, VPNs, and cybersecurity practices is a strong plus, especially in More ❯

IT consulting. Operating across both public and private sectors, we offer a comprehensive range of services from product design and engineering, digital strategy, data services & management (Machine Learning and AI), cloud migration to program delivery and service operations, our offerings are designed to meet diverse business needs. Job Description Netcompany is seeking a Senior Azure Cloud Engineer to join its More ❯

We work with some of the UK's biggest companies and government departments to provide a pragmatic approach to technology, delivering bespoke software solutions and expert advice. Our clients are increasingly looking to us to help them make the best More ❯