476 to 500 of 4,754 Remote AI Jobs

beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring More ❯

breadth of their business needs. 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. More ❯

breadth of their business needs. 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. More ❯

breadth of their business needs. 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. More ❯

breadth of their business needs. 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. More ❯

breadth of their business needs. 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. More ❯

you really get involved with? Small, close-knit team that have fun together Your ideas heard, explored and integrated Mentor up and down Innovation embraced New product ideation Embracing Ai but not for the sake of it Small, agile business, still in start-up phase (but with solid history). Your voice matters – You will contribute ideas that shape the More ❯

regulatory upheaval. We've proudly stood beside the institutions and businesses which make the UK what it is. Why Join KPMG Data in our Quantexa Engineering team: Our Data & AI practice is a dynamic and rapidly growing capability, delivering data-driven solutions that generate measurable impact for our clients. As part of this practice, we have a strategic alliance with More ❯

regulatory upheaval. We've proudly stood beside the institutions and businesses which make the UK what it is. Why Join KPMG Data in our Quantexa Engineering team: Our Data & AI practice is a dynamic and rapidly growing capability, delivering data-driven solutions that generate measurable impact for our clients. As part of this practice, we have a strategic alliance with More ❯

regulatory upheaval. We've proudly stood beside the institutions and businesses which make the UK what it is. Why Join KPMG Data in our Quantexa Engineering team: Our Data & AI practice is a dynamic and rapidly growing capability, delivering data-driven solutions that generate measurable impact for our clients. As part of this practice, we have a strategic alliance with More ❯

regulatory upheaval. We've proudly stood beside the institutions and businesses which make the UK what it is. Why Join KPMG Data in our Quantexa Engineering team: Our Data & AI practice is a dynamic and rapidly growing capability, delivering data-driven solutions that generate measurable impact for our clients. As part of this practice, we have a strategic alliance with More ❯

regulatory upheaval. We've proudly stood beside the institutions and businesses which make the UK what it is. Why Join KPMG Data in our Quantexa Engineering team: Our Data & AI practice is a dynamic and rapidly growing capability, delivering data-driven solutions that generate measurable impact for our clients. As part of this practice, we have a strategic alliance with More ❯

data integration patterns, ETL/ELT, and data pipeline orchestration Experience with data quality frameworks, metadata management, and data lineage Hands-on experience with machine learning pipelines and generative AI engineering Familiarity with DevOps practices, CI/CD for data workflows, and infrastructure-as-code (e.g., Terraform, CloudFormation). Proven track record of delivering data engineering solutions in banking and More ❯

data integration patterns, ETL/ELT, and data pipeline orchestration Experience with data quality frameworks, metadata management, and data lineage Hands-on experience with machine learning pipelines and generative AI engineering Familiarity with DevOps practices, CI/CD for data workflows, and infrastructure-as-code (e.g., Terraform, CloudFormation). Proven track record of delivering data engineering solutions in banking and More ❯

data integration patterns, ETL/ELT, and data pipeline orchestration Experience with data quality frameworks, metadata management, and data lineage Hands-on experience with machine learning pipelines and generative AI engineering Familiarity with DevOps practices, CI/CD for data workflows, and infrastructure-as-code (e.g., Terraform, CloudFormation). Proven track record of delivering data engineering solutions in banking and More ❯

data integration patterns, ETL/ELT, and data pipeline orchestration Experience with data quality frameworks, metadata management, and data lineage Hands-on experience with machine learning pipelines and generative AI engineering Familiarity with DevOps practices, CI/CD for data workflows, and infrastructure-as-code (e.g., Terraform, CloudFormation). Proven track record of delivering data engineering solutions in banking and More ❯

data integration patterns, ETL/ELT, and data pipeline orchestration Experience with data quality frameworks, metadata management, and data lineage Hands-on experience with machine learning pipelines and generative AI engineering Familiarity with DevOps practices, CI/CD for data workflows, and infrastructure-as-code (e.g., Terraform, CloudFormation). Proven track record of delivering data engineering solutions in banking and More ❯

data integration patterns, ETL/ELT, and data pipeline orchestration Experience with data quality frameworks, metadata management, and data lineage Hands-on experience with machine learning pipelines and generative AI engineering Familiarity with DevOps practices, CI/CD for data workflows, and infrastructure-as-code (e.g., Terraform, CloudFormation). Proven track record of delivering data engineering solutions in banking and More ❯

managers to understand requirements and contribute to effective technical solutions. Learn how to design and adapt applications for Azure, exploring event-driven architectures and cloud service capabilities. Begin exploring AI-powered development tools such as GitHub Copilot to enhance productivity and support smarter engineering. About the Candidate The ideal candidate will possess the following: Experience with Oracle ERP Cloud and More ❯

AI Engineer (LangGraph Expert) Salary: £90k - £130k + Equity + Bonus Location: Remote/Hybrid in London We’re looking for a brilliant AI Engineer who’s passionate about building intelligent, agentic systems using LangGraph. If you thrive at the intersection of LLMs, automation, and complex system design, this is your chance to shape the next generation of AI infrastructure. … What You’ll Do Design, implement, and optimize LangGraph-based AI workflows and multi-agent systems Integrate LLMs, APIs, and data pipelines into production-ready solutions Build scalable, maintainable AI applications with structured memory, tools, and dynamic reasoning paths Collaborate with cross-functional teams — from data scientists to product engineers — to bring cutting-edge AI features to life Continuously research … and prototype new techniques in AI orchestration and agentic reasoning What We’re Looking For Proven experience with LangGraph (bonus: contributions to the open-source project) Strong background in Python, LangChain, OpenAI APIs, and LLM architectures Familiarity with vector databases, retrieval-augmented generation (RAG), and prompt engineering Understanding of software design principles, version control (Git), and CI/CD practices More ❯

AI Engineer (LangGraph Expert) Salary: £90k - £130k + Equity + Bonus Location: Remote/Hybrid in London We’re looking for a brilliant AI Engineer who’s passionate about building intelligent, agentic systems using LangGraph. If you thrive at the intersection of LLMs, automation, and complex system design, this is your chance to shape the next generation of AI infrastructure. … What You’ll Do Design, implement, and optimize LangGraph-based AI workflows and multi-agent systems Integrate LLMs, APIs, and data pipelines into production-ready solutions Build scalable, maintainable AI applications with structured memory, tools, and dynamic reasoning paths Collaborate with cross-functional teams — from data scientists to product engineers — to bring cutting-edge AI features to life Continuously research … and prototype new techniques in AI orchestration and agentic reasoning What We’re Looking For Proven experience with LangGraph (bonus: contributions to the open-source project) Strong background in Python, LangChain, OpenAI APIs, and LLM architectures Familiarity with vector databases, retrieval-augmented generation (RAG), and prompt engineering Understanding of software design principles, version control (Git), and CI/CD practices More ❯

Overview Our client is at the forefront of AI innovation and is seeking a world-class Principal AI Research Scientist specializing in Natural Language Processing (NLP) to join their dynamic, fully remote team. This position offers a unique opportunity to drive groundbreaking research and development in state-of-the-art NLP models and applications, impacting a global user base. The … learning architectures for tasks such as text generation, summarization, sentiment analysis, and machine translation. Conduct cutting-edge research in areas like transformer models, large language models (LLMs), and explainable AI (XAI) for NLP. Collaborate with a global team of researchers and engineers to translate research findings into practical applications and product features. Publish research findings in top-tier AI conferences … deep learning. Contribute to the strategic direction of the company's AI research roadmap. Evaluate and benchmark new models and techniques against industry standards. Qualifications Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. 10+ years of experience in AI research, with a strong focus on Natural Language Processing. Proven track record of impactful research, evidenced More ❯

Founding AI Engineer – Early-Stage AI Startup (UK/US) We’re partnering with a cutting-edge, VC-backed AI startup that is redefining how businesses leverage artificial intelligence to drive smarter decisions. Their mission: to make enterprise AI accessible, actionable, and transformative, helping companies unlock insights from complex data in real-time. They’re looking for a Founding AI … Engineer to join the team, helping shape the product, technology, and AI strategy from day one. This is a rare opportunity to have a direct impact on the business, working closely with the founders and leadership team. What You’ll Do: Design, build, and deploy AI/ML models powering the core platform. Create scalable AI infrastructure, data pipelines, and … deployment workflows. Collaborate with product and engineering to turn business problems into AI solutions. Experiment with the latest AI techniques to innovate and deliver real-world impact. Mentor future AI/ML hires as the team grows. What We’re Looking For: Proven experience in AI/ML, ideally from a startup or high-growth scaleup environment. Expert in Python More ❯

Software AI Engineer II page is loaded Software AI Engineer IIlocations: CAMBRIDGE 02time type: Full timeposted on: Posted 4 Days Agojob requisition id: R50556 At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Cadence is a pivotal leader in electronic design, building upon more than 30 years of computational … for developing and maintaining Agentic AI applications in the digital verification domain. This role offers an exciting opportunity to work at the intersection of computational software, hardware verification and artificial intelligence, helping to shape the future of Cadence's innovative solutions. Job Responsibilities: Design and development of AI systems and AI features within Cadence's suite of verification tools. Identify … Java or Python software development experience, Or M.Sc plus 2+ years of experience in implementing ML models and applications, Or PhD in a relevant area. Strong understanding of various Artificial Intelligence and Machine Learning algorithms and techniques. Extensive experience in building AI based applications Strong understanding of Software Development best practices and in OO Design principles and patterns. Very strong More ❯

excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. About the job As Head of AI (R&D), you will lead cross-functional teams to drive innovation in training multimodal large language models (LLMs), video foundation models, and other advanced AI systems. These models will be … deployments and edge computing environments, ensuring scalability, efficiency, and real-world applicability. You will report directly to senior leadership and play a pivotal role in shaping the company's AI strategy, from research breakthroughs to production-ready solutions. Key Responsibilities Lead and mentor interdisciplinary teams of researchers, engineers, and data scientists to pioneer cutting-edge AI research and development. Innovate … AI R&D teams (5+ years in a leadership role) with a track record of delivering production-grade models from concept to deployment. PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Deep expertise in training foundation models, including multimodal LLMs and video models, with hands-on experience in frameworks like PyTorch, TensorFlow, or JAX. Strong understanding More ❯