776 to 800 of 5,718 Artificial Intelligence Jobs in the UK

Amazon Development Centre (Scotland) Limited We're looking for a Machine Learning Scientist in the Personalization team for our Edinburgh office experienced in generative AI and large models. You will be responsible for developing and disseminating customer-facing personalized recommendation models. This is a hands-on role with global impact More ❯

strong communication and collaboration skills. Preferred Qualifications Experience with big data processing frameworks like Apache Flink or Spark. Familiarity with machine learning models and AI-driven analytics. Understanding of front-end and mobile app interactions with backend services. Expertise in cloud-native application development and DevOps practices. This position is More ❯

a highly skilled and motivated Machine Learning Engineer with 2+ years' of experience. This team sits within Wisetech's Digital Document portfolio and develops AI-based software to extract information from documents, structuring critical logistics data that powers the seamless movement of goods worldwide. You would join a team of More ❯

data scientists. In this role, you'll enhance the data platform, develop advanced data pipelines, and integrate cutting-edge technologies like DataOps and Generative AI, including Large Language Models (LLMs). You'll have proven experience developing AWS Cloud platforms end to end, orchestrating data using Dagster or similar as More ❯

Familiarity with GitHub for version control and documentation Bonus Points For: • Python skills • Knowledge of JSON and ETL/data ingestion workflows • Experience with AI/ML techniques for predictive modelling Benefits: • Generous staff discount (up to 50%!) • 30 days holiday (incl. bank holidays), increasing with service • Annual discretionary bonus More ❯

test them to drive towards the optimal level of model performance Improve existing processes with development and implementation of state of the art generative AI models Work with technology teams to integrate models by wrapping them as services that plug into Amazon's Alexa Eco system Work across the spectrum More ❯

It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, cloud, and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion. Get The Future You More ❯

It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, cloud, and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion. Get The Future You More ❯

wide variety of analytical processes (governance, measurement, etc.). Experience with agile software development. A solid understanding of key trends including machine learning and artificial intelligence. General business skills: Analytical mind with a problem-solving aptitude expressed with clear, concise written, verbal and presentation skills. Experience managing global, complex More ❯

software development or product management. You have knowledge of and are enthusiastic about technology trends and digital topics, including cloud technologies, app development, and AI concepts. You have a proven record of first experience as a technical project manager or engineering manager ideally with programming experience for web-based scalable More ❯

and scientific inquiry in machine translation and evaluation. About the team We are a start-up mindset team with opportunities for innovation, leveraging Gen AI technologies to build scalable solutions from scratch. Our Vision: Language will not stand in the way of anyone on earth using Amazon products and services. More ❯

products? The company This company are primarily data driven with domain expertise delivering insights to networks and assets using analytics, presentation, machine learning and AI that is SAAS and cloud based services. The Role: Working as a Technical Customer Delivery Engineer with and as part of the internal customer development More ❯

ability to convey rigorous mathematical concepts and considerations to non-experts. PREFERRED QUALIFICATIONS - A PhD in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent) and 5+ years of experience working in data science in a consumer product company. - Practical experience in several of the following areas More ❯

to-have, providing a well-rounded background. Experience with data visualization tools and DevOps principles/tools is advantageous. Familiarity with machine learning and AI concepts, particularly in how they integrate into data architectures. Design and Lifecycle Management: Proven background in designing modern, scalable, and robust data architectures. Comprehensive grasp More ❯

Engineer, youll get to join a small, focused delivery team working on key feature development, devops, and testing, exploring new areas of cloud computing, AI/ML, and platform engineering. You'll be key in determining architectural and design decisions, supporting junior team members, writing fantastic code, ensuring it's More ❯

better life, enabled by economic prosperity that lifts society up. That's why we empower British businesses and government to harness the power of AI and data analytics, so they can create value for people, not just profits. By working with brave and ambitious organisations who share our vision, we More ❯

be an advocate of software design patterns, CI/CD and DevOps in an Agile environment. Experience or personal projects exploring Machine Learning and AI would fit well. What you'll get in return You'll work for a technology focused company building innovative products. There's an excellent rewards More ❯

architecture and how front-end applications interact with distributed systems. Exposure to backend development (Node.js, Java, or Python) for full-stack capabilities. Exposure to AI tools like Co-pilot etc. is an added advantage. DevOps experience. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Citi is More ❯

the way, we guarantee you'll get opportunities to be a bold disruptor, prolific innovator, and a reputed problem solver-someone who truly enables AI and robotics to significantly impact the lives of millions of consumers. Key job responsibilities Architect, design, and implement Machine Learning models for vision systems on More ❯

architecture, leveraging the latest Azure offerings, while having the freedom to explore and implement new technologies. Optimizing Our Platform and Processes: TLA has embraced AI as a key element, enabling us to automate workflows, enhance validation, and improve consumer scoring-a core part of our future vision. At the same More ❯

MBA or a Master's in Cyber Security, or equivalent experience. Professional certifications like CISSP, CISM, or CEH. Experience with UEBA, machine learning and AI in threat detection. Familiarity with global financial systems and regulations. A track record of successful project management in a cyber security context. What we offer More ❯

can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility More ❯

signing up to use MongoDB every month, it's no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. MongoDB Engagement Managers utilize customer-facing sales, technical, consulting, and commercial experience to scope, negotiate and close Professional Services opportunities to accelerate and More ❯

meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. Diverse More ❯

softwares (e.g. PowerBi, Tableau, Grafana) to efficiently produce analysis and reports. Strong technical understanding of multi-factor models (e.g. Bloomberg MAC, Axioma) Experience leveraging AI tools to improve scalability Previous Investment risk, performance or portfolio control experience Experience with and strong understanding of UCITS and AIFMD regulations Liquidity risk management More ❯