1 to 25 of 9,099 Artificial Intelligence Jobs

Sand Technologies is a fast-growing enterprise AI company that solves real-world problems for large blue-chip companies and governments worldwide. We're pioneers of meaningful AI : our solutions go far beyond chatbots. We are using data and AI to solve the world's biggest issues in telecommunications, sustainable water management, energy, healthcare, climate change, smart cities, and other … areas that have a real impact on the world. For example, our AI systems help to manage the water supply for the entire city of London. We created the AI algorithms that enabled the 7th largest telecommunications company in the world to plan its network in 300 cities in record time. And we built a digital healthcare system that enables More ❯

Sand Technologies is a fast-growing enterprise AI company that solves real-world problems for large blue-chip companies and governments worldwide. We're pioneers of meaningful AI : our solutions go far beyond chatbots. We are using data and AI to solve the world's biggest issues in telecommunications, sustainable water management, energy, healthcare, climate change, smart cities, and other … areas that have a real impact on the world. For example, our AI systems help to manage the water supply for the entire city of London. We created the AI algorithms that enabled the 7th largest telecommunications company in the world to plan its network in 300 cities in record time. And we built a digital healthcare system that enables More ❯

teams on our website. The Role This is an exciting new role aimed at growing our data science capability, and the adoption of data-driven methods (including ML/AI) more widely within the business. You will work with a range of colleagues and teams to help solve complex business problems, unlock business insight and value from semi-structured and … and apply a range of scientific methods. Expert understanding and application of Natural Language Processing techniques. Experience of text mining, data annotation and model development. Awareness of Data and AI Governance considerations - ethics, transparency and explainability, licensing and regulation. Commercial awareness and awareness of product delivery life cycle (within an Agile delivery context). Competencies At application stage, you will … and preparing your answers using software such as MS Word or Google Docs, and then uploading the file. We strongly advise you review our policy on responsible use of AI in the application process. RoS may check answers with an AI detection tool and will contact you for a pre-screening call to verify your responses. Applications and appointments are More ❯

Job Description Salary- 90k-100k, plus 25k bonus Role Overview As Head of AI, you will be the primary technical driver of all AI/ML initiatives. You’ll report directly to the CEO/CTO and own the full lifecycle of our AI roadmap—from research and proof-of-concept to scalable production. We’re looking for a “doer … who can rapidly prototype models, optimize for performance, and mentor junior engineers, all while helping define product strategy. In this role, you will: • Lead AI strategy and execution in a high-ambiguity environment. • Build, train, and deploy state-of-the-art models (e.g., deep learning, NLP, computer vision, reinforcement learning, or relevant domain-specific architectures). • Design infrastructure for data … ingestion, annotation, experimentation, model versioning, and monitoring. • Collaborate closely with product, design, and DevOps to integrate AI features into our platform. • Continuously evaluate new research, open-source tools, and emerging frameworks to keep us at the forefront. • Recruit, mentor, and grow an AI/ML team as we scale beyond our seed round. ⸻ Key Responsibilities 1. Architecture & Hands-On Development More ❯

Job Title: Generative AI Architect – Professional Services Job Description: We are seeking a strategic and highly skilled Generative AI Architect to lead the design and implementation of advanced AI solutions tailored for professional services. This role requires expertise in AI-driven decision automation , data-driven insights , and scalable architecture to enhance business processes and client outcomes. As a key member … of our team, you will architect solutions that learn, reason, and make intelligent decisions , enabling AI to drive efficiency, innovation, and competitive advantage across multiple domains. Key Responsibilities AI Systems Architecture & Business Impact Design and develop scalable AI architectures that integrate seamlessly with existing business systems. Ensure AI models support enterprise-grade workloads , focusing on efficiency, adaptability, and security . … Algorithm & Model Development Develop and optimize AI algorithms for predictive analytics, recommendation engines, and automation in professional services. Apply machine learning (ML) and deep learning (DL) techniques to enhance decision-making and business intelligence. Data Engineering & Integration Architect robust data pipelines to support AI model training and inference. Implement automated data collection, integration, cleansing, and transformation techniques to ensure high More ❯

Job Title: Generative AI Architect – Professional Services Job Description: We are seeking a strategic and highly skilled Generative AI Architect to lead the design and implementation of advanced AI solutions tailored for professional services. This role requires expertise in AI-driven decision automation , data-driven insights , and scalable architecture to enhance business processes and client outcomes. As a key member … of our team, you will architect solutions that learn, reason, and make intelligent decisions , enabling AI to drive efficiency, innovation, and competitive advantage across multiple domains. Key Responsibilities AI Systems Architecture & Business Impact Design and develop scalable AI architectures that integrate seamlessly with existing business systems. Ensure AI models support enterprise-grade workloads , focusing on efficiency, adaptability, and security . … Algorithm & Model Development Develop and optimize AI algorithms for predictive analytics, recommendation engines, and automation in professional services. Apply machine learning (ML) and deep learning (DL) techniques to enhance decision-making and business intelligence. Data Engineering & Integration Architect robust data pipelines to support AI model training and inference. Implement automated data collection, integration, cleansing, and transformation techniques to ensure high More ❯

Role - Practice Lead - Data Science Technology - Generative AI, Devops Location - Amsterdam, NL What are we looking for? Lead AI Engineer. We are looking for smart, self-driven, high-energy people with top notch communication skills, intellectual curiosity and passion for technology in the Machine Learning Space. Our analysts have a blend of in-depth domain expertise in one or more … the opportunity to shape value-adding consulting solutions for clients by connecting various functions of cloud components. Industry knowledge - Knows advanced concepts of machine learning, has deployed ML/AI solutions in the cloud, has a deep understanding of coding practices, knows how to guide teams on debugging issues, can connect the dots to arrive at a solution and is … very good at presentation of the ideas, thoughts and solutions. Technical knowledge- has expertise in building and deploying AI solutions in the cloud with hands on coding experience in - •Python Programming - Expert and Experienced •DevOps Working knowledge with implementation experience - 1 or 2 projects a minimum •Hands-On MS Azure/AWS/GCP Cloud knowledge •Experience in development of More ❯

Role Overview As Head of AI, you will be the primary technical driver of all AI/ML initiatives. You'll report directly to the CEO/CTO and own the full life cycle of our AI roadmap-from research and proof-of-concept to scalable production. We're looking for a doer who can rapidly prototype models, optimize for … performance, and mentor junior engineers, all while helping define product strategy. In this role, you will: Lead AI strategy and execution in a high-ambiguity environment. Build, train, and deploy state-of-the-art models (eg, deep learning, NLP, computer vision, reinforcement learning, or relevant domain-specific architectures). Design infrastructure for data ingestion, annotation, experimentation, model versioning, and monitoring. … Collaborate closely with product, design, and DevOps to integrate AI features into our platform. Continuously evaluate new research, open-source tools, and emerging frameworks to keep us at the forefront. Recruit, mentor, and grow an AI/ML team as we scale beyond our seed round. Key Responsibilities 1. Architecture & Hands-On Development Define and implement end-to-end AI More ❯

joining a team of IT and communications technology pros who are empowered to do what they do best, your best choice your choice is C1. Overview Summary As an AI Developer, you will be responsible for designing, developing, and deploying AI models and systems that drive meaningful outcomes for our customers. You will collaborate with cross-functional teams to identify … analytics, and recommendation systems. Data Handling: Preprocess, analyze, and visualize large datasets to extract actionable insights; collaborate with data engineers to ensure data quality and availability. System Integration: Integrate AI models into existing software architectures, ensuring seamless functionality and optimal performance. Research & Innovation: Stay current with the latest AI research and trends; propose and implement innovative solutions to enhance our … AI capabilities. Collaboration: Work closely with product managers, data scientists, and software engineers to define project requirements and deliver AI-powered solutions. Testing & Evaluation: Develop rigorous testing methodologies to evaluate the performance and reliability of AI systems; troubleshoot and optimize model performance. Documentation: Maintain clear and comprehensive documentation of models, experiments, and code for future reference and knowledge sharing. Compliance More ❯

learning, and an unwavering commitment to delivering high-impact solutions. We are seeking a Data Science & Machine Learning Specialist with a proven ability to design, develop, and deploy transformative AI and machine learning solutions. Your Role: As a Data Science & Machine Learning Specialist, you will work alongside multidisciplinary teams to unlock the full potential of data assets for clients. You … will design state-of-the-art ML models, develop data-driven insights, and deploy production-grade AI solutions. Leveraging your expertise, you will help clients overcome their most pressing challenges and create sustainable value using AI and ML. What We're Looking For: Required Skills and Qualifications Educational Background : Bachelor's or Master's degree in Data Science, Artificial … Mastery : Proficiency in TensorFlow, PyTorch, and scikit-learn for designing, training, and deploying ML models. Cloud Expertise : Hands-on experience with Azure Machine Learning, AWS SageMaker, or GCP Vertex AI for scalable AI deployments. Data Visualization : Proficiency in tools like Tableau, Power BI, and Python-based libraries such as Matplotlib, Seaborn, and Plotly. Statistics and Mathematics : Deep understanding of linear More ❯

a highly skilled and Hands-on Machine Learning Operations (MLOps) Lead. This role will be pivotal in building out a greenfield framework for the deployment and management of scalable AI/ML solutions, specifically for the front and Middle Office user base. The role is to define and set up a greenfield standardized MLOps framework for capital markets and set … standaridised framework for Capital markets. The core platform is built on Azure Databricks Lakehouse, consolidating data from various front and Middle Office systems to support BI, MI, and advanced AI/ML analytics. As a lead, you will shape the MLOps framework and establish best practices for deploying and managing AI/ML solutions for a diverse and dynamic user … base, including data scientists, quants, risk managers, traders, and other tech-savvy users. Core Responsibilities: Lead the development of AI/ML CI/CD pipelines and frameworks for supporting AI/ML and Data Science solutions on Azure Databricks. Define and implement best practices for DataOps, DevOps, ModelOps, and LLMOps to standardize and accelerate the AI/ML life More ❯

role, you'll harness the power of data to influence strategic and operational outcomes. Your passion for transforming complex data into actionable insights will drive the development of agentic AI solutions and elevate our advanced analytics capabilities to new heights. We seek an innovative thinker who thrives in a collaborative environment, with a deep understanding of prescriptive analytics, machine learning … and the latest generative AI technologies. As a Data Scientist, you'll contribute directly to the USCCA mission by transforming data into insights that help safeguard life, freedom, and finances for responsible American gun owners. Few roles in data science offer this level of tangible, socially relevant impact. Is creating scalability the professional challenge you've been missing? Are you … analytics models (optimization, simulation, heuristics) in direct support of strategic decision-making and operational efficiency. Build scalable machine learning pipelines, including feature engineering, training, evaluation, and monitoring. Develop generative AI-powered solutions for summarization, content generation, personalized recommendations, and decision support. Explore and build agentic AI systems that can autonomously plan, reason, and act across tasks and tools. Implement robust More ❯

will be responsible for driving innovation, managing technical teams, product development roadmap, and ensuring the suitable functionality, scalability and efficiency of our software solutions and leading-edge products in AI-first platforms. The Software Engineering Director will ensure an AI-first development and innovation model for all AWTG products and solutions. As a key member of the executive team, the … development, and product roadmap. Align technology initiatives with the company’s vision, business objectives and growth strategies. Evaluate and implement emerging technologies to maintain a competitive edge. Implement an AI-first software vision on products, platforms and solutions. Secure internal and external funding for development of new technologies and innovations. Manage P&L for the entire Software Division. Develop products … and solutions to ensure high productivity, efficiency and effective task management. Software Development Oversee the design, development, and deployment of scalable, secure, and high-quality software solutions. Implement an AI-first software approach Ensure adherence to best practices in software architecture, coding, and testing. Ensure continuous improvement of products and platforms Collaborate with various stakeholders and technical teams to define More ❯

will be responsible for driving innovation, managing technical teams, product development roadmap, and ensuring the suitable functionality, scalability and efficiency of our software solutions and leading-edge products in AI-first platforms. The Software Engineering Director will ensure an AI-first development and innovation model for all AWTG products and solutions. As a key member of the executive team, the … development, and product roadmap. Align technology initiatives with the company’s vision, business objectives and growth strategies. Evaluate and implement emerging technologies to maintain a competitive edge. Implement an AI-first software vision on products, platforms and solutions. Secure internal and external funding for development of new technologies and innovations. Manage P&L for the entire Software Division. Develop products … and solutions to ensure high productivity, efficiency and effective task management. Software Development Oversee the design, development, and deployment of scalable, secure, and high-quality software solutions. Implement an AI-first software approach Ensure adherence to best practices in software architecture, coding, and testing. Ensure continuous improvement of products and platforms Collaborate with various stakeholders and technical teams to define More ❯

machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep learning architectures. Practical experience with, or demonstrable capability for, applications of Generative AI, Large Language Models (LLMs), and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions. Solid understanding of foundational statistics and experimental design. Familiarity with … Impact and Achievements: As a Principal Data Scientist, your success will be measured by your ability to: Pioneer the development and robust deployment of highly impactful machine learning and AI-driven solutions, directly contributing to significant commercial value, quantifiable business growth, or efficiency gains across the organization. Translate complex data science insights into tangible, measurable improvements across critical business processes … the real-world adoption and beneficial outcomes of our analytical work. Actively elevate the technical maturity and capabilities of the data science team by shaping and implementing industry-leading AI, data, and analytics techniques, methodologies, and engineering best practices. Work with amazing people and be part of a unique culture More ❯

This is how your job looks like You are part of the IT Data & AI Team and play a key role in shaping, implementing, and enhancing our Data Lake using Azure Databricks Source Integration : Establish connections to diverse systems via APIs , ODBC , Event Hubs , and sFTP protocols. ETL/ELT Pipelines : Design and optimize data pipelines using Azure Data Factory … Proficiency with Azure Data Factory , Databricks and Azure Storage . Strong skills in SQL , Python , and data modeling techniques. Familiarity with data formats like Parquet and JSON. Experience with AI/ML model management on Azure Databricks . Education : Bachelor's degree in IT, Computer Science, or a related field. Microsoft Certified: Azure Data Engineer Associate Language Skills : Fluency in More ❯

Overview We're seeking a Senior Data Scientist to lead the development of advanced analytics and AI/ML solutions that unlock real value across our business. This is a contract role for 6 months . In this contract role, you'll work with proprietary and B2B research datasets to design, deliver, and scale data-driven products. Collaborating closely with … governance in data science. Proven ability to manage and mentor data science teams. Evidence of taking a company or department on a journey from Analytics to Data Science to AI and ML deployed at scale. Ability to translate complex analysis findings into clear narratives and actionable insights. Excellent communication skills, with the ability to listen and collaborate with non-technical More ❯

Cloud & DevOps: Experience with AWS cloud services, Terraform, Docker, Kubernetes Agile/DevOps: Experience with Agile methodologies, CI/CD pipelines, and project management tools (Jira, Confluence, Bitbucket). AI/ML: Exposure to AI/ML projects or data analytics. Benefits and Perks Our comprehensive offering is designed around flexibility, well-being, and continuous growth, ensuring that you have More ❯

Cloud & DevOps: Experience with AWS cloud services, Terraform, Docker, Kubernetes Agile/DevOps: Experience with Agile methodologies, CI/CD pipelines, and project management tools (Jira, Confluence, Bitbucket). AI/ML: Exposure to AI/ML projects or data analytics. Benefits and Perks Our comprehensive offering is designed around flexibility, well-being, and continuous growth, ensuring that you have More ❯

Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in … or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. More ❯

Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in … or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. More ❯

Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in … or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. More ❯

Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in … or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. More ❯

Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in … or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. More ❯

technical users can explore results intuitively Turn insights into actionable recommendations and present findings to clients; Contribute reusable components (feature engineering blocks, forecasting engines, GenAI pipelines) to our internal AI/ML toolkit Support business-development by shaping analytics in proposals and thought-leadership Tech you'll use (and learn) Python SQL scikitlearn XGBoost TensorFlow/PyTorch LangChain Airflow dbt More ❯