801 to 825 of 1,366 Remote/Hybrid Artificial Intelligence Jobs

join a global data analytics business serving the energy and commodities sector. The organisation is investing heavily in technology and is now building an AI-native data platform that will fundamentally reshape how its insight, analytics, and consulting services are delivered and commercialised. This is a greenfield product role with … scale-up settings, where ambiguity is high and ownership is expected ** Strong technical literacy, with exposure to data platforms, cloud infrastructure, or Data/AI/ML enabled products ** Confident working autonomously, showing initiative and curiosity while knowing when to engage senior stakeholders ** Excellent communication skills, with experience working directly ...

.NET Developer, C# 14 - Financial Consultancy - London (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML Living Standard, CSS Living Standard, Programmer, Full Stack Engineer, Architect, .NET Developer) Established in the early 1970s … C#) or windows/desktop development (C#.NET). My client can provide training in: .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML Living Standard, CSS Living Standard, Azure, AWS, WPF, MVVM, Prism, continuous integration, dependency injection, Node.js ...

integrity 4. Data Governance & Quality Establish data stewardship processes and governance frameworks Implement metadata standards, symbology conventions, and data validation mechanisms Leverage automation and AI/ML for data quality improvement 5. Geospatial Analytics & Modelling Enable spatial analytics, economic modelling, and visualization tools Support decision-making and public engagement through … DevOps practices Strong understanding of geospatial technologies (e.g., ESRI, QGIS, FME, GeoServer) Experience with legacy GIS systems (Intergraph, Smallworld) and data migration Familiarity with AI/ML applications in geospatial data quality and analytics Agile delivery experience and ability to lead cross-functional teams ...

evolve data schemas and fields, turning product requirements into clear, well modelled datasets Build and maintain data feeds using SQL, Python and internal (AI-assisted) tooling Apply business logic, validation rules and quality checks across large datasets Investigate data issues and improve reliability, consistency and trust in the outputs Work … cleanly Care about data quality, edge cases and consistency Are comfortable collaborating with engineers, product managers and non technical stakeholders Are open to using AI tools to speed up understanding and reduce repetitive work You'll likely bring: Strong SQL skills and experience working with large datasets Experience with ...

evolve data schemas and fields, turning product requirements into clear, well modelled datasets Build and maintain data feeds using SQL, Python and internal (AI-assisted) tooling Apply business logic, validation rules and quality checks across large datasets Investigate data issues and improve reliability, consistency and trust in the outputs Work … cleanly Care about data quality, edge cases and consistency Are comfortable collaborating with engineers, product managers and non technical stakeholders Are open to using AI tools to speed up understanding and reduce repetitive work You'll likely bring: Strong SQL skills and experience working with large datasets Experience with ...

LocationIreland Job CategoryConsulting Job SummaryWe are Progress (Nasdaq: PRGS) - the trusted provider of software that enables our customers to develop, deploy and manage responsible, AI-powered applications and experiences with agility and ease. We're proud to have a diverse, global team where we value the individual and enrich … Develop complex classification strategies that leverage organization's knowledge models. Provide strategic guidance on how Semaphore integrates into the broader application, search, analytics, and AI landscape, including change management and adoption considerations. Lead complex client engagements as the senior consultant, ensuring quality of deliverables, alignment to outcomes, and clear communication ...

Type: Full-time, Permanent The Opportunity We are looking for a Senior Machine Learning Engineer to build the infrastructure and pipelines that power our AI solutions. In this role, you will move beyond experimental notebooks to create robust, scalable, and automated systems. You will be responsible for the "factory" that … task has to be done twice, you believe it should be scripted. Security Mindset: You understand the unique security vulnerabilities inherent in AI/ML systems and build with "security by design" principles. ...

practices in ML engineering and data quality across the business. Adhere to Company Policies and Procedures with respect to Security, Quality and Health & Safety. AI first mindset to improve our products and tools within the business. About You: Here’s what we’re looking for: Experience: 2–3 years … attention to detail. Ability to scope, define, and deliver complex solutions independently. Self-motivated, accountable, and keen to continuously learn and grow. Experience using AI tools to enhance productivity and quality Why Join RealityMine? At RealityMine, we believe our people are at the heart of everything we do. That ...

practices in ML engineering and data quality across the business. Adhere to Company Policies and Procedures with respect to Security, Quality and Health & Safety. AI first mindset to improve our products and tools within the business. About You: Here’s what we’re looking for: Experience: 2–3 years … attention to detail. Ability to scope, define, and deliver complex solutions independently. Self-motivated, accountable, and keen to continuously learn and grow. Experience using AI tools to enhance productivity and quality Why Join RealityMine? At RealityMine, we believe our people are at the heart of everything we do. That ...

DIGITAL PRODUCT MANAGER - 1 YEAR CONTRACT - HYBRID WORKING - NO SPONSORSHIP AVAILABLE Job Description Our client are looking for a Digital Product Manager to join their team on an initial 1 year contract. In this role ...

Global Analytics firm, recognized with multiple industry awards for innovation and excellence. Our team comprises experts with deep domain knowledge in risk, analytics, AI/ML, AML/FCC, and fraud. By converging this expertise with cutting-edge technologies like AI, Machine Learning, Generative AI, and Large Language Models (LLMs ...

Global Analytics firm, recognized with multiple industry awards for innovation and excellence. Our team comprises experts with deep domain knowledge in risk, analytics, AI/ML, AML/FCC, and fraud. By converging this expertise with cutting-edge technologies like AI, Machine Learning, Generative AI, and Large Language Models (LLMs ...

Data Science Location: Hybrid, London Area Salary: Up to £135,000 A global consumer experiences organisation is investing heavily in data, analytics and AI to drive growth across its international portfolio. They are now hiring a Director of Data Science to lead enterprise-wide insight, advanced analytics and AI initiatives … insights aligned to business objectives. Experimentation and Optimisation – Drive large-scale testing across digital, CRM and marketing channels, optimising pricing, promotions and creative performance. AI and Predictive Analytics – Champion the adoption of AI, machine learning and predictive analytics, embedding models and tools into core business processes to deliver tangible impact. ...

Title: Data Analyst – (Generative AI) Locations: London, UK – (Hybrid- 3 days onsite) Duration: 11 Months (Contract) About the Role: You will work on prototyping evaluation protocols, analyzing model outputs, curating training data, and supporting the scaling of validated processes. This role combines data analysis with a basic technical understanding … Python, SQL, and generative AI concepts. Responsibilities: Prototype human rating and semi-automatic evaluation protocols. Conduct small-to-medium scale evaluations of generated content. Identify model gaps and assist in preparing data for improvements. Support scaling of evaluation processes with internal teams. Skills & Requirements : Strong attention to detail and analytical ...

Team Overview: The Amplify Engineering team builds internal tools, platforms, and AI-powered automation that help Klaviyos work more efficiently and at scale as the company grows. We partner across the organisation, including Sales, Marketing, Engineering & Product, Customer Service & Success, and Finance, to solve real operational problems with practical, well … designed software. Our work spans internal applications, 3rd-party integrations, interactive dashboards, CMS integrations, and robust AI systems and agents that automate repetitive tasks, surface the right information at the right time, and help teams make better decisions. We operate in tight feedback loops with our internal customers, shipping quickly ...

Learning Engineer | Early Stage Deep Tech Start Up | London I am partnered with an early stage, London based start up that is building an AI native intelligence layer for private market investing. The platform transforms fragmented documents, deal histories, and proprietary investment data into structured, searchable intelligence … evidence of success in high ownership projects: Responsibilities Design and build machine learning models for document understanding, knowledge graphs, and data extraction Develop generative AI systems for research, summarisation, and investment memo drafting Solve complex problems involving unstructured and proprietary private company data Contribute to technical architecture and applied research ...

role, suited to someone with 5-10 years' experience who combines strong data fundamentals, delivery expertise, and product thinking, alongside a practical understanding of AI-driven data capabilities. You will work closely with engineering, product, client stakeholders, and senior leadership - taking initiative, shaping solutions, and ensuring data is treated … modelled, governed, surfaced, and consumed Own requirements for data pipelines, reporting, and analytics capabilities Ensure data solutions support business, regulatory, and operational needs AI & Advanced Data Capabilities Apply AI/ML-aware thinking to data pipelines, quality processes, automation, and insight generation Identify opportunities to use AI for data validation ...

learn and research solutions and share findings with others, playing an active, positive collaborative role with colleagues and customers. You will be utilising AI implementing software development using AI agentic to enhance productivity and efficiency through intelligent task management, seamless communication, and adaptive learning. Please note, AI is used … will ideally be Educated to University standard with an IT-related degree. Any experience with BDD , DDD , PowerShell , Azure/AWS and using agentic AI environments, i.e. Cline, Copilot, Gemini, is highly desirable. The role comes with an excellent benefits package including, 25 days holiday + bank holidays, ability ...

About Mirantis Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production … platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards ...

About Mirantis Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production … platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards ...

About Mirantis Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production … platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards ...

About Mirantis Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production … platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards ...

About Mirantis Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production … platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards ...

Senior DevOps Engineer – AI & Cloud Infrastructure Type: Permanent/Full-Time (Employment or Contract considered) Location: Remote or Hybrid Time Zones: UK, Europe, North America–friendly The Opportunity We’re working with a high-growth tech-start up company building a next-generation AI cloud platform , focused on fast, reliable … language models and other compute-intensive workloads. The platform combines modern cloud infrastructure, Kubernetes, GPU clusters, and developer-first tooling to support mission-critical AI systems operating across multiple regions. They’re now looking for a Senior DevOps Engineer to take ownership of the infrastructure backbone — someone who enjoys operating ...

Role: AI Lead Working Model: Permanent Location: Hybrid - London Salary: up to £100,000 Are you a hands-on AI Lead passionate about Generative AI, LLMs, and cloud deployments This is an exciting opportunity to join a dynamic AI team and contribute to cutting-edge projects in Insurtech and Fintech ...