626 to 650 of 9,045 Permanent Artificial Intelligence Jobs

Overview From your everyday PowerPoint presentations to Hollywood movies, AI will transform the way we create and consume content. Today, people want to watch and listen, not read - both at home and at work. If you're reading this and nodding, check out our brand video. Despite the clear preference for video, communication and knowledge sharing in the business environment … high-quality video production remains complex and challenging to scale-until now . Meet Synthesia We're on a mission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high-quality videos. Whether … from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. Role Overview Synthesia is building a modern, AI-powered back office. We are hiring a full-stack engineer to design and run the data layer that powers Finance ensuring data from finance systems land securely in a data More ❯

a modern Python stack, consistently shipping high-quality code every sprint. Advance our IDP platform's capabilities in line with the product roadmap, with a strong focus on enhancing AI-driven document understanding (e.g., data extraction, classification). Ensure best coding practices, including robust testing and thorough code reviews, are implemented and upheld within the IDP development lifecycle. Work closely … with other engineers (AI, front-end, infrastructure) and product teams to align all development efforts and deliver cohesive IDP solutions. Solve complex technical problems and eliminate performance bottlenecks within the IDP services, ensuring reliability for high-volume, low-latency document processing. Design, build, and maintain core, scalable, and reusable components of our Python-based Intelligent Document Processing pipelines. The Person … cloud service providers to deploy multi-tenant infrastructures , managing and segregating user access control. Understanding of containerised applications orchestration, including inter-service communication. Desirable Skills: Interest or familiarity with AI is a plus, given the nature of the product Familiarity with Agile development processes including daily stand-ups, weekly catch-ups, retrospectives, and hybrid approaches. Behavioural Competencies: Accountability: Takes ownership More ❯

reinventing how organisations do that, combining speed, scale and accuracy with cutting-edge AI. Since 2018, we’ve grown from a deep-tech startup to a global player in AI-driven due diligence and risk intelligence. 2024 was a landmark year as we closed a $10M (£8M) Series A, earned recognition in the Chartis RiskTech100® and Everest Group’s Leading … another tech job, it’s a chance to shape the direction of the due diligence industry with our market-leading product. Whether you’re in engineering, data science, product, AI/ML or infrastructure, you’ll be solving hard, high-impact problems: scaling distributed systems to fuel explosive growth, making sense of multilingual and unstructured data, applying AI/ML … things we’re interested in: Experience working lower in the stack, e.g., databases, infrastructure, Kubernetes, or observability tooling. Exposure to CI/CD tooling Interest in natural language processing, AI, or distributed systems. Here’s our promise to you: We are going to work with you – to build a rewarding and fulfilling career with the opportunities, challenges and resources you More ❯

reinventing how organisations do that, combining speed, scale and accuracy with cutting-edge AI. Since 2018, we’ve grown from a deep-tech startup to a global player in AI-driven due diligence and risk intelligence. 2024 was a landmark year as we closed a $10M (£8M) Series A, earned recognition in the Chartis RiskTech100® and Everest Group’s Leading … another tech job, it’s a chance to shape the direction of the due diligence industry with our market-leading product. Whether you’re in engineering, data science, product, AI/ML or infrastructure, you’ll be solving hard, high-impact problems: scaling distributed systems to fuel explosive growth, making sense of multilingual and unstructured data, applying AI/ML … things we’re interested in: Experience working lower in the stack, e.g., databases, infrastructure, Kubernetes, or observability tooling. Exposure to CI/CD tooling Interest in natural language processing, AI, or distributed systems. Here’s our promise to you: We are going to work with you – to build a rewarding and fulfilling career with the opportunities, challenges and resources you More ❯

reinventing how organisations do that, combining speed, scale and accuracy with cutting-edge AI. Since 2018, we’ve grown from a deep-tech startup to a global player in AI-driven due diligence and risk intelligence. 2024 was a landmark year as we closed a $10M (£8M) Series A, earned recognition in the Chartis RiskTech100® and Everest Group’s Leading … another tech job, it’s a chance to shape the direction of the due diligence industry with our market-leading product. Whether you’re in engineering, data science, product, AI/ML or infrastructure, you’ll be solving hard, high-impact problems: scaling distributed systems to fuel explosive growth, making sense of multilingual and unstructured data, applying AI/ML … things we’re interested in: Experience working lower in the stack, e.g., databases, infrastructure, Kubernetes, or observability tooling. Exposure to CI/CD tooling Interest in natural language processing, AI, or distributed systems. Here’s our promise to you: We are going to work with you – to build a rewarding and fulfilling career with the opportunities, challenges and resources you More ❯

reinventing how organisations do that, combining speed, scale and accuracy with cutting-edge AI. Since 2018, we’ve grown from a deep-tech startup to a global player in AI-driven due diligence and risk intelligence. 2024 was a landmark year as we closed a $10M (£8M) Series A, earned recognition in the Chartis RiskTech100® and Everest Group’s Leading … another tech job, it’s a chance to shape the direction of the due diligence industry with our market-leading product. Whether you’re in engineering, data science, product, AI/ML or infrastructure, you’ll be solving hard, high-impact problems: scaling distributed systems to fuel explosive growth, making sense of multilingual and unstructured data, applying AI/ML … things we’re interested in: Experience working lower in the stack, e.g., databases, infrastructure, Kubernetes, or observability tooling. Exposure to CI/CD tooling Interest in natural language processing, AI, or distributed systems. Here’s our promise to you: We are going to work with you – to build a rewarding and fulfilling career with the opportunities, challenges and resources you More ❯

reinventing how organisations do that, combining speed, scale and accuracy with cutting-edge AI. Since 2018, we’ve grown from a deep-tech startup to a global player in AI-driven due diligence and risk intelligence. 2024 was a landmark year as we closed a $10M (£8M) Series A, earned recognition in the Chartis RiskTech100® and Everest Group’s Leading … another tech job, it’s a chance to shape the direction of the due diligence industry with our market-leading product. Whether you’re in engineering, data science, product, AI/ML or infrastructure, you’ll be solving hard, high-impact problems: scaling distributed systems to fuel explosive growth, making sense of multilingual and unstructured data, applying AI/ML … things we’re interested in: Experience working lower in the stack, e.g., databases, infrastructure, Kubernetes, or observability tooling. Exposure to CI/CD tooling Interest in natural language processing, AI, or distributed systems. Here’s our promise to you: We are going to work with you – to build a rewarding and fulfilling career with the opportunities, challenges and resources you More ❯

has a dedicated R&D function made up of Research Fellows and DNA colleagues. The R&D team explores how new tools and ideas across data science, analytics and AI can be applied in industry. Our Values We believe in the power of diverse perspectives and collaborative teams to drive innovation. Our team comes from a wide range of backgrounds … your first day solving some of the world's biggest challenges. This will include: Designing solutions for complex problems using the latest research in data science, advanced analytics and AI Implementing prototypes and measuring their effectiveness Engaging in discussions with colleagues to share ideas and show results Your contributions will be crucial for creating cutting-edge products and carrying out … sector Modelling portfolio decarbonization strategies leveraging advanced analytics techniques for large European banks Identifying supply chain risks by combining multiple live data feeds, and developing and applying a bespoke AI based risk methodology – click here for more information Why Join us? Expect a steep learning curve, as no two weeks are ever the same: You'll have access to the 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 … s site. How You'll Shape Our Success The purpose of this role is to advance clients' technical environments by designing and deploying innovative machine learning-based models and AI solutions that directly deliver measurable value for their organizations. What You'll Do Strong grasp of statistics and probability fundamentals Solid understanding of machine learning algorithms for supervised and unsupervised … learning Understanding of Transformer based models Experience developing AI agents Strong Python and SQL skills Experience with Cloud ML tools and version control (e.g. git) Experience with MLOps Collaborative, proactive, logical, methodical, and attentive to detail Excellent communication skills (verbal and written) Collaborate with clients to understand their business problems and design technical solutions using machine learning models Develop and More ❯

role focused on demonstrating and clicking through a piece of vendor software. You will collaborate closely with our customers, understanding their needs and goals, effectively demonstrating how Constructor's AI-Powered eCommerce Search and Product Discovery Platform can be optimized to meet and exceed their expectations. Your strong technical background, combined with effective communication and a penchant for problem solving … to comprehend complex data structures and prescribe best practices to optimize them Familiarity with data science and statistics principles, A/B testing methodologies and analytics Ability to explain AI and Machine Learning concepts to both technical and non-technical audiences This role is ideal for someone who can bridge the gap between engineering and business teams, ensuring seamless communication … best on the market, having never lost an A/B test to a competitive technology. We're passionate about maintaining this and work on the bleeding edge of AI to do so. Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is More ❯

UK Salary : Up to 65,000 Start Date : ASAP Security Clearance : Must be SC Cleared About Us My client is a dynamic and innovative team at the forefront of AI and cloud computing, delivering scalable, intelligent solutions that drive real-world impact. Their expertise spans analytics and AI services across sectors including finance, government, life sciences, private sector, and sport. More ❯

UK Salary : Up to £65,000 Start Date : ASAP Security Clearance : Must be SC Cleared About Us My client is a dynamic and innovative team at the forefront of AI and cloud computing, delivering scalable, intelligent solutions that drive real-world impact. Their expertise spans analytics and AI services across sectors including finance, government, life sciences, private sector, and sport. More ❯

API Management, ensuring resilience, performance, and compliance. • Automation and Infrastructure-as-Code: Develop and maintain Infrastructure-as-Code solutions using Terraform and GitHub, automating deployments and reducing manual effort. • AI-Driven Operations: Leverage AI and automation to optimise infrastructure operations, including monitoring, fault detection, and performance tuning, driving greater efficiency and reliability. • Disaster Recovery and Resilience: Implement disaster recovery strategies … in regulated environments, ensuring compliance with frameworks such as ISO27001, NIST or FCA requirements • Strong expertise in Terraform, GitHub Actions, and modern Infrastructure-as-Code practices • Experience in applying AI and automation to infrastructure operations, driving efficiency and improving resilience • Solid understanding of Azure Firewall, Front Door, Application Gateway, API Management, and associated services • Skilled in architecting and implementing Disaster More ❯

API Management, ensuring resilience, performance, and compliance. • Automation and Infrastructure-as-Code: Develop and maintain Infrastructure-as-Code solutions using Terraform and GitHub, automating deployments and reducing manual effort. • AI-Driven Operations: Leverage AI and automation to optimise infrastructure operations, including monitoring, fault detection, and performance tuning, driving greater efficiency and reliability. • Disaster Recovery and Resilience: Implement disaster recovery strategies … in regulated environments, ensuring compliance with frameworks such as ISO27001, NIST or FCA requirements • Strong expertise in Terraform, GitHub Actions, and modern Infrastructure-as-Code practices • Experience in applying AI and automation to infrastructure operations, driving efficiency and improving resilience • Solid understanding of Azure Firewall, Front Door, Application Gateway, API Management, and associated services • Skilled in architecting and implementing Disaster More ❯

API Management, ensuring resilience, performance, and compliance. • Automation and Infrastructure-as-Code: Develop and maintain Infrastructure-as-Code solutions using Terraform and GitHub, automating deployments and reducing manual effort. • AI-Driven Operations: Leverage AI and automation to optimise infrastructure operations, including monitoring, fault detection, and performance tuning, driving greater efficiency and reliability. • Disaster Recovery and Resilience: Implement disaster recovery strategies … in regulated environments, ensuring compliance with frameworks such as ISO27001, NIST or FCA requirements • Strong expertise in Terraform, GitHub Actions, and modern Infrastructure-as-Code practices • Experience in applying AI and automation to infrastructure operations, driving efficiency and improving resilience • Solid understanding of Azure Firewall, Front Door, Application Gateway, API Management, and associated services • Skilled in architecting and implementing Disaster More ❯

API Management, ensuring resilience, performance, and compliance. • Automation and Infrastructure-as-Code: Develop and maintain Infrastructure-as-Code solutions using Terraform and GitHub, automating deployments and reducing manual effort. • AI-Driven Operations: Leverage AI and automation to optimise infrastructure operations, including monitoring, fault detection, and performance tuning, driving greater efficiency and reliability. • Disaster Recovery and Resilience: Implement disaster recovery strategies … in regulated environments, ensuring compliance with frameworks such as ISO27001, NIST or FCA requirements • Strong expertise in Terraform, GitHub Actions, and modern Infrastructure-as-Code practices • Experience in applying AI and automation to infrastructure operations, driving efficiency and improving resilience • Solid understanding of Azure Firewall, Front Door, Application Gateway, API Management, and associated services • Skilled in architecting and implementing Disaster More ❯

API Management, ensuring resilience, performance, and compliance. • Automation and Infrastructure-as-Code: Develop and maintain Infrastructure-as-Code solutions using Terraform and GitHub, automating deployments and reducing manual effort. • AI-Driven Operations: Leverage AI and automation to optimise infrastructure operations, including monitoring, fault detection, and performance tuning, driving greater efficiency and reliability. • Disaster Recovery and Resilience: Implement disaster recovery strategies … in regulated environments, ensuring compliance with frameworks such as ISO27001, NIST or FCA requirements • Strong expertise in Terraform, GitHub Actions, and modern Infrastructure-as-Code practices • Experience in applying AI and automation to infrastructure operations, driving efficiency and improving resilience • Solid understanding of Azure Firewall, Front Door, Application Gateway, API Management, and associated services • Skilled in architecting and implementing Disaster More ❯

datasets. Experience with database platforms such as SQL Server, Oracle, SAS, or Access. Familiarity with data visualisation tools (e.g. Power BI, Tableau) for insight generation and reporting. Knowledge of AI and Machine Learning models for risk scoring and predictive analytics. Expertise with Financial Crime platforms such as ACI PRM (Proactive Risk Manager), SIRA, SONAR, ThreatMetrix, Mitek, and CIFAS. In-depth … accuracy in data investigation and interpretation. Strong communication skills, capable of translating technical findings into actionable business insights. Qualifications Degree in Computer Science, Data Analytics, Mathematics MIS/CIS, AI, or Machine Learning, or equivalent experience. Recognised SQL/Database qualification (Microsoft, Oracle, or equivalent). Relevant certification in Financial Crime, Fraud, or Cybercrime is desirable. Exceptional candidates without formal More ❯

about data, experimentation and emerging technologies in machine learning and AI. These are some of the key ingredients to the role Lead and conduct research into advanced ML/AI methods, causal inference (A/B testing) and experimental design, applied to Retail Media challenges. Prototype and evaluate algorithms for audience segmentation, recommendation, targeting, and campaign optimization. Collaborate with data … data science and engineering community at JET. What will you bring to the table? Proven experience as a research-focused data scientist, with a track record of applying ML, AI, or statistical methods to complex, real-world problems and building and deployment of these models into production. Strong background in machine learning, causal inference, experimentation, or recommendation systems. Demonstrated ability More ❯

globally. Your innovations will directly power breakthrough solutions that identify critical decarbonisation opportunities across entire industries and supply chains. You'll push the boundaries of what's possible with AI-driven climate tech developing advanced models that process vast amounts of unstructured data to reveal hidden patterns in global emissions. You'll collaborate with our climate science team to translate … ML solutions Evaluate and recommend appropriate ML implementations by balancing upfront setup costs and effort against business value and company goals Guide the integration of out-of-the-box AI tools to enhance internal operations and support front-end use cases Stay up-to-date with the latest ML theory, techniques, and out-of-the-box tools Contribute to technical More ❯

globally. Your innovations will directly power breakthrough solutions that identify critical decarbonisation opportunities across entire industries and supply chains. You'll push the boundaries of what's possible with AI-driven climate tech developing advanced models that process vast amounts of unstructured data to reveal hidden patterns in global emissions. You'll collaborate with our climate science team to translate … ML solutions Evaluate and recommend appropriate ML implementations by balancing upfront setup costs and effort against business value and company goals Guide the integration of out-of-the-box AI tools to enhance internal operations and support front-end use cases Stay up-to-date with the latest ML theory, techniques, and out-of-the-box tools Contribute to technical More ❯

an experienced MLOps Engineer in London to join an established Banking client who have multiple offices around the UK. They have allocated a ton of investment to propel their AI & Cloud transformation and this role will be the first of its kind with the view to build a team around this hire. You will act work closely with their Data More ❯

an experienced MLOps Engineer in London to join an established Banking client who have multiple offices around the UK. They have allocated a ton of investment to propel their AI & Cloud transformation and this role will be the first of its kind with the view to build a team around this hire. You will act work closely with their Data More ❯

an experienced MLOps Engineer in London to join an established Banking client who have multiple offices around the UK. They have allocated a ton of investment to propel their AI & Cloud transformation and this role will be the first of its kind with the view to build a team around this hire. You will act work closely with their Data More ❯

an experienced MLOps Engineer in London to join an established Banking client who have multiple offices around the UK. They have allocated a ton of investment to propel their AI & Cloud transformation and this role will be the first of its kind with the view to build a team around this hire. You will act work closely with their Data More ❯