626 to 650 of 7,479 Artificial Intelligence Jobs

Terraform, Kubernetes, Docker CI/CD pipelines (Azure DevOps, GitHub Actions, etc.) Front End frameworks (React, Vue, ASP.NET) API design (REST, JSON, XML) Database experience: SQL, NoSQL, vector databases AI integration: OpenAI, Gemini, and other LLMs Strong knowledge of agile, lean, and DevOps best practices.A collaborative, commercial, and solutions-oriented mindset - someone who thrives in a high-trust, cross-functional More ❯

Terraform, Kubernetes, Docker CI/CD pipelines (Azure DevOps, GitHub Actions, etc.) Front End frameworks (React, Vue, ASP.NET) API design (REST, JSON, XML) Database experience: SQL, NoSQL, vector databases AI integration: OpenAI, Gemini, and other LLMs Strong knowledge of agile, lean, and DevOps best practices.A collaborative, commercial, and solutions-oriented mindset - someone who thrives in a high-trust, cross-functional More ❯

Terraform, Kubernetes, Docker CI/CD pipelines (Azure DevOps, GitHub Actions, etc.) Front End frameworks (React, Vue, ASP.NET) API design (REST, JSON, XML) Database experience: SQL, NoSQL, vector databases AI integration: OpenAI, Gemini, and other LLMs Strong knowledge of agile, lean, and DevOps best practices.A collaborative, commercial, and solutions-oriented mindset - someone who thrives in a high-trust, cross-functional More ❯

frameworks (TensorFlow, PyTorch) and neural network architectures Understanding of time series analysis and advanced forecasting technique Apply now to join our innovative team and help shape the future of AI More ❯

Clearance Requirement: TS w/SCI Eligibility Job Description and Responsibilities: Come join the future of data-driven decision making! At Data Machines we leverage data analytics, DevSecOps, machine intelligence, and data science to engineer solutions for our Federal government, defense, and commercial sponsors to solve real-world, critical mission problems. Data Machines is looking for a motivated and More ❯

Preferred Skills: Experience with infrastructure as code (IaC) tools like AWS CloudFormation or Terraform. Familiarity with DevOps practices and integration of RPA into CI/CD pipelines. Knowledge of AI, machine learning, and data analytics within the AWS ecosystem. Work Environment: Dynamic and fast-paced with a focus on cloud-based innovation and automation. Opportunity for remote work and flexible More ❯

disaster recovery and data backup protocols. Automation & Optimization Build and maintain automated pipelines for data collection, storage, and processing. Integrate tools for automated reporting and analytics (including ML/AI models where applicable). Develop scalable, automated workflows for repetitive data operations tasks. Data Maintenance & Accessibility Maintain and update data dictionaries with historical change logs. Standardize naming conventions and data More ❯

Relational or non-relational databases using SQL or NoSQL Data Engineering skills using Python Modern Analytics architectures - Data Lakes/Data fabrics/Data mesh. Machine Learning and Generative AI use cases HTML, JavaScript, Angular XML, XSLT, JSON, SOAP, REST Cloud hardware services, containers, kubernetes, etc. Windows, Unix/Linux, MAC OS X API Management Healthcare protocol experience (FHIR, HL7 More ❯

world-class software solutions used across industries. As a Software Engineer at IBM, you will be part of an agile team working on cutting-edge technologies, cloud-based systems, AI integrations, and enterprise solutions. You'll contribute to projects that matter - from digital transformation for Fortune 500 companies to solving complex problems with scalable software. Job Responsibilities: Design, develop, and More ❯

Linux environment including scripting skills. SDLC/Dev Ops - Git/BitBucket, CI/CD pipeline frameworks such as Jenkins, SonarQube, JIRA, Any secure coding toolkits. Experience using Generative AI tools such as CoPilot Demonstrated clear and concise written and verbal communication skills Demonstrated leadership, project and stakeholder management skills Education Bachelor's degree/University degree in software or More ❯

deploys world-class software solutions used across industries.As a Software Engineer at IBM, you will be part of an agile team working on cutting-edge technologies, cloud-based systems, AI integrations, and enterprise solutions. You'll contribute to projects that matter - from digital transformation for Fortune 500 companies to solving complex problems with scalable software. Job Responsibilities: Design, develop, and More ❯

machine learning, and AI. Proficient in R, Python, SQL, and familiar with visualisation tools like Power BI. Excellent problem-solving, communication, and stakeholder management skills. Experience in applying Gen AI tools or techniques is highly desirable. Educated to degree level (2:1 or above) in a numerical discipline. What You'll Bring: A proactive, self-motivated approach to solving real More ❯

HCLTech is a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom More ❯

HCLTech is a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom More ❯

the backing of Skipton Building Society, Connells offers a stable and resource-rich environment for tech professionals to work on impactful projects across customer platforms, internal systems, and exploring AI-driven solutions - making it an exciting space for anyone looking to shape the future of property technology in the UK.The Lead Site Reliability Engineer owns the operational reliability of the More ❯

cross-functional teams to integrate analytics solutions into our products. Design and build data visualization tools to communicate findings to stakeholders. Continuously research and apply the latest techniques in AI and machine learning to supply chain problems. Contribute to the development of our analytics product suite, ensuring scalability and efficiency. Communicate complex data science concepts to non-technical stakeholders. Key More ❯

of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always More ❯

for machine learning. Your expertise spans data processing and distributed systems, with a focus on software engineering. You will work at the intersection of research and product, building generative AI features in Autodesk products. You will report to: Manager, Autodesk Research, Generative AI. Location: London or remote (within UK). Autodesk supports a hybrid work environment, allowing remote, in-office More ❯

professional, you will work closely with our business units. Our technology teams offer an environment with exciting challenges - supporting and developing legacy systems or introducing modern technologies such as AI, machine learning, and highly automated trading applications. Our Technology department, comprising around 300 employees, works largely in an agile manner using a Scrumban approach. It covers areas such as Cloud More ❯

that we are upholding our values and ethics in how we use data. Skills and Knowledge Analysis of structure, semi-structured and unstructured data Programming - SQL, Python, R, Julia AI/ML ethics Understanding of Data Governance concepts and best practice Quick understanding of business problems and requirements A willingness to learn new skills and adopt to new technologies Good More ❯

in providing top-notch IT solutions for critical government clients that defend national security. They tackle challenging projects across various tech domains, including enterprise software, data analytics, DevOps, Cloud, AI/ML, and cybersecurity. They understand the importance of flexibility, offering remote work options on multiple contracts and a culture that respects your personal time. Competitive salaries, over 5 weeks More ❯

AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we're working toward one bold goal: a world with zero accidents and More ❯

optical cover Enhanced Parental Leave: 20 weeks of fully paid maternity leave 4 weeks of fully paid paternity leave Contributory pension scheme Friday office lunches Access to cutting-edge AI tooling Hybrid working from our dog-friendly Shoreditch office Free gym membership via our co-working spaces Cycle-to-work scheme Regular team socials, events, and offsites More ❯

IT consulting. Operating across both public and private sectors, we offer a comprehensive range of services from product design and engineering, digital strategy, data services & management (Machine Learning and AI), cloud migration to program delivery and service operations, our offerings are designed to meet diverse business needs. Job Description This is an exciting opportunity within technology consultancy, which offers you More ❯

cloud providers, including AWS, Microsoft, and Google Cloud, and other leading partners worldwide to create strategic alliances. The Dynatrace platform uses cutting-edge technologies, including our own Davis hypermodal AI, to help our customers modernize and automate cloud operations, deliver software faster and more securely, and enable flawless digital experiences. Over 50% of the Fortune 100 companies are current customers More ❯