76 to 100 of 6,210 Artificial Intelligence Jobs

join our global operations team as Director of Intelligent Operations. This role is pivotal in shaping the future of operational excellence through the application of cutting-edge technologies, including AI, automation, and cloud-native architectures. The ideal candidate will bridge business strategy and technical execution, driving scalable, secure, and privacy-compliant solutions that deliver measurable impact across the organization. A … a culture of learning and growth. Requirements: Proven experience in a senior leadership role driving innovation in complex, data-driven environments. Deep understanding of cloud infrastructure, data orchestration, and AI/ML applications in operational contexts. Strong business acumen with the ability to translate strategic goals into technical execution. Track record of influencing cross-functional teams and executive stakeholders. Passion … and delivering solutions for projects with multiple dependencies and constraints. Strong competence in Applications, Operability, Integration, Data, Technology, Infrastructure, and Security architecture. Technical Skills: Experience of commercial integration of AI into Operational systems, or similar, featuring LLM, Transformer, ML & traditional statistical data driven software components. Proficiency in SaaS, API design, Azure/Kubernetes hosting, and Integration technologies. Experience in developing More ❯

join our global operations team as Director of Intelligent Operations. This role is pivotal in shaping the future of operational excellence through the application of cutting-edge technologies, including AI, automation, and cloud-native architectures. The ideal candidate will bridge business strategy and technical execution, driving scalable, secure, and privacy-compliant solutions that deliver measurable impact across the organization. A … a culture of learning and growth. Requirements: Proven experience in a senior leadership role driving innovation in complex, data-driven environments. Deep understanding of cloud infrastructure, data orchestration, and AI/ML applications in operational contexts. Strong business acumen with the ability to translate strategic goals into technical execution. Track record of influencing cross-functional teams and executive stakeholders. Passion … and delivering solutions for projects with multiple dependencies and constraints. Strong competence in Applications, Operability, Integration, Data, Technology, Infrastructure, and Security architecture. Technical Skills: Experience of commercial integration of AI into Operational systems, or similar, featuring LLM, Transformer, ML & traditional statistical data driven software components. Proficiency in SaaS, API design, Azure/Kubernetes hosting, and Integration technologies. Experience in developing More ❯

join our global operations team as Director of Intelligent Operations. This role is pivotal in shaping the future of operational excellence through the application of cutting-edge technologies, including AI, automation, and cloud-native architectures. The ideal candidate will bridge business strategy and technical execution, driving scalable, secure, and privacy-compliant solutions that deliver measurable impact across the organization. A … a culture of learning and growth. Requirements: Proven experience in a senior leadership role driving innovation in complex, data-driven environments. Deep understanding of cloud infrastructure, data orchestration, and AI/ML applications in operational contexts. Strong business acumen with the ability to translate strategic goals into technical execution. Track record of influencing cross-functional teams and executive stakeholders. Passion … and delivering solutions for projects with multiple dependencies and constraints. Strong competence in Applications, Operability, Integration, Data, Technology, Infrastructure, and Security architecture. Technical Skills: Experience of commercial integration of AI into Operational systems, or similar, featuring LLM, Transformer, ML & traditional statistical data driven software components. Proficiency in SaaS, API design, Azure/Kubernetes hosting, and Integration technologies. Experience in developing 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 ❯

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 ❯

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 ❯

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 ❯

methodologies to deliver high-quality solutions within agreed timelines. Design, develop, and maintain scalable and secure software platforms using Python, C#, and Angular. Lead the development of an agentic AI platform for developers and other users. Collaborate with cross-functional teams to provide architectural guidance and technical expertise. Ensure the integration of security best practices in all development processes. Utilize … a Data platform for data ingestion, refinment and distribution. Expose to Databricks is a plus. Experience in delivery using Agile methodologies (Scrum and/or Kanban) Understanding of main AI models and their combination in the context of implementing RAG use cases Understanding of quant optimizers algorithms and their integration in the investment life-cycle Support Strong understanding of investment 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 ❯

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 ❯

reviews, and supporting junior developers. Serves as an advocate for maintaining an empowered team culture at RiverStone , adeptly pushing the boundaries to adopt optimal technologies, especially those related to AI toolsets, cloud-first solutions, PaaS services, DevOps, IaaS, and security tooling. Takes proactive ownership of problems, addressing them with professional urgency. Committed to delivering high-quality results, demonstrating energy, drive … Azure DevOps, serverless) or comparable AWS services Familiarity with all phases of the SDLC (Plan, Design, Develop, Deploy, Test, Support) Experience with various frameworks: Experience with using Microsoft's AI toolset to delivery organizational efficiencies Data Access: JDBC, ORM, DAO, Transaction Architecture: MVC, MVVM Unit Testing: TDD, BDD, Mocking Knowledge of data structures and algorithms Experience with multiple platforms: Windows 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 ❯

Excellent communication presentation and stakeholder management skills Strong analytical thinking and complex problemsolving capabilities Good to have Qualifications Genesys Certified Professional GCP or Genesys Certified Expert GCE Experience with AI machine learning Copilot and customer experience analytics Familiarity with AgileScrum methodologies Experience in global contact center implementations and largescale deployments More ❯

Excellent communication presentation and stakeholder management skills Strong analytical thinking and complex problemsolving capabilities Good to have Qualifications Genesys Certified Professional GCP or Genesys Certified Expert GCE Experience with AI machine learning Copilot and customer experience analytics Familiarity with AgileScrum methodologies Experience in global contact center implementations and largescale deployments More ❯

Excellent communication presentation and stakeholder management skills Strong analytical thinking and complex problemsolving capabilities Good to have Qualifications Genesys Certified Professional GCP or Genesys Certified Expert GCE Experience with AI machine learning Copilot and customer experience analytics Familiarity with AgileScrum methodologies Experience in global contact center implementations and largescale deployments More ❯

Excellent communication presentation and stakeholder management skills Strong analytical thinking and complex problemsolving capabilities Good to have Qualifications Genesys Certified Professional GCP or Genesys Certified Expert GCE Experience with AI machine learning Copilot and customer experience analytics Familiarity with AgileScrum methodologies Experience in global contact center implementations and largescale deployments More ❯

Excellent communication presentation and stakeholder management skills Strong analytical thinking and complex problemsolving capabilities Good to have Qualifications Genesys Certified Professional GCP or Genesys Certified Expert GCE Experience with AI machine learning Copilot and customer experience analytics Familiarity with AgileScrum methodologies Experience in global contact center implementations and largescale deployments 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 ❯

and taking our products to the next level. We're building new features like mutual funds, bonds, and family investment tools. We're also exploring how we can leverage AI to deliver an even better experience for our customers. Why join the Data team at Freetrade? Data is at the core of how we make decisions, build products, and drive 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 ❯