26 to 50 of 6,045 Permanent Artificial Intelligence Jobs

of best practices/standards - Software delivery, including CI/CD and related DevSecOps practices, working with cloud-based platforms such as Azure or AWS (preferred) - Experience working on AI/Gen AI implementations and underlying architecture, and models - Application testing, automation and performance testing tools - Working knowledge of Agile Scrum Boston Consulting Group is an Equal Opportunity Employer. All More ❯

Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. The Amazon Web Services Professional Services … position requires a deep understanding of machine learning, natural language processing, and generative models, combined with problem-solving skills and a passion for innovation. Key job responsibilities 1. Generative AI Model Development: -Design and develop generative AI models, including language models, image generation models, and multimodal models. -Explore and implement advanced techniques in areas such as transformer architectures, attention mechanisms … and stay up-to-date with the latest advancements in the field of generative AI. 2. Data Acquisition and Preprocessing: -Identify and acquire relevant data sources for training generative AI models. -Develop robust data preprocessing pipelines, ensuring data quality, cleanliness, and compliance with ethical and regulatory standards. -Implement techniques for data augmentation, denoising, and domain adaptation to enhance model performance. More ❯

and training plans to ensure that you will continue to grow and develop your career at Hitachi. Job Description We are growing our consulting team and looking for Senior AI (Artificial Intelligence) Consultants to join us on our exciting journey and be part of the Hitachi Solutions family Key Accountabilities Accountable for providing hands-on technical knowledge, while … organizational standards. Key Responsibilities Capture client requirements and lead the development of solution architectures that meet both current and future business needs Provide expert advisory services to clients on AI best practices, ensuring delivery of scalable and efficient solutions. Define high-value business scenarios that can benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data … as Azure ML Pipelines, Azure DevOps. Run experiments and monitor performance of machine learning solutions using tools such as Azure Azure ML, and Azure Application Insights. Operationalise and deploy AI solutions, ensuring that coding, security and CI/CD best practices are followed. Communicate and present findings and recommendations to stakeholders and customers using tools such as Power BI, Azure More ❯

analysis and business intelligence projects across our businesses in UK, Ireland, and North American in both B2C and B2B businesses. Reporting into the Senior Manager, Data Science and AI, you will explore the wide data sets to identify new insight and leverage new technologies to create capabilities that enable effective decision making and drive growth in the Wiltshire Farm … marketing, product, and operations to understand data needs and efficient solutions. Gather, clean ad hoc data from various sources while ensuring data accuracy and quality, leveraging advanced analytics and AI technologies. Track marketing performance with attribution modelling and provide quarterly acquisition forecasts. Work closely with the data team to provide analytical support, champion best practice and contribute to shared goals. … a keen focus on detail. Desirable: Experience with marketing attribution models and budget allocation analysis. Familiarity with Microsoft Azure services and Databricks for data processing and analytics. Experience with AI tools and Agentic AI systems. Experience in retail, food service, or consumer goods industries. Previous exposure to multi-market operations (UK, Ireland, North America). Background in business consulting or More ❯

AI Technical Consultant - Permanent Job Decription As an AI Technical Consultant, you will be working as part of an agile team you will be responsible for providing expert guidance and support to our clients in the implementation and optimisation of AI technologies. You will work closely with clients to understand their business needs, design AI solutions, and ensure successful deployment … to client sites when required, along with travel to our company conference and events. What you'll be delivering Collaborate with clients to identify business challenges and opportunities for AI solutions. Design and develop AI models and algorithms to address client needs. Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision. Conduct data analysis … and preprocessing to prepare datasets for AI model training. Proven experience in data science and analytics, with a strong portfolio of successful projects. Implement and deploy AI models into production environments. Monitor and evaluate the performance of AI models and make necessary adjustments. Provide training and support to clients on AI tools and best practices. Stay up to date with More ❯

AI Technical Consultant - Permanent Job Decription As an AI Technical Consultant, you will be working as part of an agile team you will be responsible for providing expert guidance and support to our clients in the implementation and optimisation of AI technologies. You will work closely with clients to understand their business needs, design AI solutions, and ensure successful deployment … to client sites when required, along with travel to our company conference and events. What you'll be delivering Collaborate with clients to identify business challenges and opportunities for AI solutions. Design and develop AI models and algorithms to address client needs. Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision. Conduct data analysis … and preprocessing to prepare datasets for AI model training. Proven experience in data science and analytics, with a strong portfolio of successful projects. Implement and deploy AI models into production environments. Monitor and evaluate the performance of AI models and make necessary adjustments. Provide training and support to clients on AI tools and best practices. Stay up to date with More ❯

As a Senior Microsoft Azure AI Engineer (m/w/d) Lead AI Solution Architecture , you're responsible for the end-to-end architecture of AI/ML solutions on Azure . You provide technical leadership to teams in implementing best practices and MLOps, and work closely with clients to translate their business needs into innovative AI solutions. Activities … Lead AI Solution Architecture: Own the end-to-end architecture for AI/ML solutions on Azure, from concept and design to deployment. Develop high-level solution designs that integrate with clients' existing data platforms and infrastructure. Client Engagement: Work closely with enterprise clients to understand business challenges and identify opportunities where AI/ML can drive value (e.g. predictive … in pharma, or risk modeling in insurance). Translate these needs into solution roadmaps and technical plans. Technical Leadership: Provide hands-on technical leadership to delivery teams. Guide Azure AI Engineers and Data Engineers in implementing best practices for data preparation, model development, and cloud deployment. Mentor team members in advanced AI techniques and review designs/code to ensure More ❯

As a Senior Microsoft Azure AI Engineer (m/w/d) Lead AI Solution Architecture , you're responsible for the end-to-end architecture of AI/ML solutions on Azure . You provide technical leadership to teams in implementing best practices and MLOps, and work closely with clients to translate their business needs into innovative AI solutions. Activities … Lead AI Solution Architecture: Own the end-to-end architecture for AI/ML solutions on Azure, from concept and design to deployment. Develop high-level solution designs that integrate with clients' existing data platforms and infrastructure. Client Engagement: Work closely with enterprise clients to understand business challenges and identify opportunities where AI/ML can drive value (e.g. predictive … in pharma, or risk modeling in insurance). Translate these needs into solution roadmaps and technical plans. Technical Leadership: Provide hands-on technical leadership to delivery teams. Guide Azure AI Engineers and Data Engineers in implementing best practices for data preparation, model development, and cloud deployment. Mentor team members in advanced AI techniques and review designs/code to ensure More ❯

As a Senior Microsoft Azure AI Engineer (m/w/d) Lead AI Solution Architecture , you're responsible for the end-to-end architecture of AI/ML solutions on Azure . You provide technical leadership to teams in implementing best practices and MLOps, and work closely with clients to translate their business needs into innovative AI solutions. Activities … Lead AI Solution Architecture: Own the end-to-end architecture for AI/ML solutions on Azure, from concept and design to deployment. Develop high-level solution designs that integrate with clients' existing data platforms and infrastructure. Client Engagement: Work closely with enterprise clients to understand business challenges and identify opportunities where AI/ML can drive value (e.g. predictive … in pharma, or risk modeling in insurance). Translate these needs into solution roadmaps and technical plans. Technical Leadership: Provide hands-on technical leadership to delivery teams. Guide Azure AI Engineers and Data Engineers in implementing best practices for data preparation, model development, and cloud deployment. Mentor team members in advanced AI techniques and review designs/code to ensure More ❯

at scale, selecting appropriate technologies. Build and maintain secure, high end performance backend services and APIs that power document analytics and GenAI applications. Collaborate with data scientists to productionize AI prototypes and integrate them into enterprise-ready solutions including deployment automation, monitoring and lifecycle management. Integrate diverse data sources from internal databases, file systems, and third-party systems into the … to the architecture of scalable, modular components supporting multi-tenant, cross-business-unit deployment. Implement monitoring, logging, and alerting mechanisms to ensure the reliability and observability of data and AI services. Establish engineering best practices and contribute to CI/CD workflows across data pipelines and application services. Participate in technical discussions and design reviews to align engineering efforts with … modern software engineering practices Hands-on experience with Microsoft Azure cloud services, including Azure DevOps and related tooling. Experience in building data processing pipelines and integrating Data Science or AI solutions into production environments is a strong advantage. Strong analytical and problem-solving skills, with the ability to work independently and collaboratively in a cross-functional team. Proficiency in English More ❯

convergence between brick-and-mortar and online payments. Further information is available at . It starts here. Have a global impact on the world of payments. Are you an AI visionary with a passion for shaping the future of Generative AI ? We're seeking a Senior Director, Gen AI to lead the development of advanced AI agents, leveraging LLMs, reinforcement … learning, vector databases, and autonomous systems . As a key AI strategy leader , you'll define the next-generation consumer experiences , enabling real-time merchant insights , AI-powered Ops automation , and cutting-edge chatbot capabilities . You will collaborate closely with executive leadership, key industry stakeholders, and regulatory bodies to ensure AI solutions align with global standards and drive measurable … St Paul's cathedral with easy access and transport links via St Paul's, Bank, Cannon Street, City Thameslink, Liverpool Street, Farringdon, Mansion House. The impact you will have: AI Agent Development: Design and optimize AI agents capable of autonomous learning, decision-making, and task execution. LLM Fine-Tuning & Enhancement: Adapt foundational models like GPT, Llama, integrating retrieval-augmented generation More ❯

Sr. Director/VP, Data & AI Strategy Department: Technology & Product Employment Type: Permanent Location: London, UK Description We are seeking a dynamic and visionary leader to join our team as Sr. Director/VP of Data Strategy and ML/AI . This role is responsible for shaping and driving our enterprise-wide data strategy-leveraging data as a strategic … asset to deliver actionable insights, enable innovation through ML/AI, and support scalable, secure, and trustworthy data practices. This high-impact leadership role requires cross-functional collaboration across Product, Engineering, Operations, Finance, and Compliance. You will be the steward of our data ecosystem, championing a culture of data excellence, insight-led decision making, measurable business outcomes, and embedded ML …/AI capabilities. What that means day to day Architecture & Platform Leadership: - Architect a unified and scalable enterprise data platform supporting structured and unstructured data. - Build a modern Data Lakehouse/Warehouse as a single source of truth. - Implement reporting and dashboarding solutions that empower internal teams and customers. - Ensure platform reliability, observability, and security. - Promote reusable, curated datasets and More ❯

Sr. Director/VP, Data & AI Strategy Department: Technology & Product Employment Type: Permanent Location: Bath, UK Description We are seeking a dynamic and visionary leader to join our team as Sr. Director/VP of Data Strategy and ML/AI . This role is responsible for shaping and driving our enterprise-wide data strategy-leveraging data as a strategic … asset to deliver actionable insights, enable innovation through ML/AI, and support scalable, secure, and trustworthy data practices. This high-impact leadership role requires cross-functional collaboration across Product, Engineering, Operations, Finance, and Compliance. You will be the steward of our data ecosystem, championing a culture of data excellence, insight-led decision making, measurable business outcomes, and embedded ML …/AI capabilities. What that means day to day Architecture & Platform Leadership: - Architect a unified and scalable enterprise data platform supporting structured and unstructured data. - Build a modern Data Lakehouse/Warehouse as a single source of truth. - Implement reporting and dashboarding solutions that empower internal teams and customers. - Ensure platform reliability, observability, and security. - Promote reusable, curated datasets and More ❯

Sr. Director/VP, Data & AI Strategy Department: Technology & Product Employment Type: Permanent Location: Cardiff, UK Description We are seeking a dynamic and visionary leader to join our team as Sr. Director/VP of Data Strategy and ML/AI . This role is responsible for shaping and driving our enterprise-wide data strategy-leveraging data as a strategic … asset to deliver actionable insights, enable innovation through ML/AI, and support scalable, secure, and trustworthy data practices. This high-impact leadership role requires cross-functional collaboration across Product, Engineering, Operations, Finance, and Compliance. You will be the steward of our data ecosystem, championing a culture of data excellence, insight-led decision making, measurable business outcomes, and embedded ML …/AI capabilities. What that means day to day Architecture & Platform Leadership: - Architect a unified and scalable enterprise data platform supporting structured and unstructured data. - Build a modern Data Lakehouse/Warehouse as a single source of truth. - Implement reporting and dashboarding solutions that empower internal teams and customers. - Ensure platform reliability, observability, and security. - Promote reusable, curated datasets and More ❯

for our colleagues too; we won Insurance Employer of the Year at the British Insurance Awards 2024 and our Glassdoor score is pretty mega too! Are you a seasoned AI expert ready to take your skills to the next level? Do words like Azure OpenAI, Cognitive Services, prompt engineering, Retrieval-Augmented Generation (RAG) architectures, vector stores, and API integrations make … you light up inside? If so, we want to hear from you! At 1st Central , we're on an exciting journey with AI and Generative AI - and we're looking for a Senior AI Engineer to help us shape the future. This isn't just about writing code or building models (though there'll be plenty of that too!). … It's about bringing smart ideas to life and making a real impact. You'll be at the heart of our AI strategy - from initial concept and prompt design, through development and testing, to deployment, production, monitoring and continuous improvement optimising cutting-edge AI solutions across the business. One day you might be collaborating with our Data Scientists, Software Engineers More ❯

for our colleagues too; we won Insurance Employer of the Year at the British Insurance Awards 2024 and our Glassdoor score is pretty mega too! Are you a seasoned AI expert ready to take your skills to the next level? Do words like Azure OpenAI, Cognitive Services, prompt engineering, Retrieval-Augmented Generation (RAG) architectures, vector stores, and API integrations make … you light up inside? If so, we want to hear from you! At 1st Central , we're on an exciting journey with AI and Generative AI - and we're looking for a Senior AI Engineer to help us shape the future. This isn't just about writing code or building models (though there'll be plenty of that too!). … It's about bringing smart ideas to life and making a real impact. You'll be at the heart of our AI strategy - from initial concept and prompt design, through development and testing, to deployment, production, monitoring and continuous improvement optimising cutting-edge AI solutions across the business. One day you might be collaborating with our Data Scientists, Software Engineers More ❯

Delivery Practice Manager - Data & AI, Professional Services Job ID: AWS EMEA SARL (Italy Branch) The Amazon Web Services Professional Services (ProServe) team is seeking an experienced Delivery Practice Manager (DPM) to join our ProServe Shared Delivery Team (SDT) at Amazon Web Services (AWS). In this role, you'll manage a team of ProServe Delivery Consultants while supporting AWS enterprise … Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. Key job responsibilities As an experienced More ❯

Department of Defense intelligence, surveillance, and reconnaissance (ISR) efforts. This position plays a pivotal role in integrating advanced computer vision, machine learning (ML), and artificial intelligence (AI) capabilities into secure, modular software environments. The Software Engineer will collaborate with multidisciplinary teams including Data Scientists, ML Engineers, and hardware developers to accelerate the delivery of mission insights by … Develop and optimize computer vision pipelines, including video analytics, object tracking, and feature extraction. Accelerate image processing tasks such as segmentation, similar-object labeling, clustering, and active learning. Leverage AI/ML methods to enhance metadata, improve model validation, and increase the speed of dataset enrichment. Deploy automation technologies to reduce time spent on data exploration, cleaning, and model training. … processes, ensuring continuous delivery in secure, classified environments. EDUCATION/TRAINING Required: Bachelor's Degree in Computer Science, Software Engineering, or related technical field. Preferred: Master's Degree in AI, Machine Learning, Software Engineering, or Systems Engineering. Required Certification: IAT Level II (e.g., CompTIA Security+) upon hire. Preferred Certifications: Certified Software Development Professional (CSDP), AWS/Azure ML/AI More ❯

promotion of fair competition in the marketplace. This position offers the opportunity to make a direct impact on important research efforts in areas such as artificial intelligence (AI), information systems, computational models, and data-driven discoveries. You will collaborate with multidisciplinary teams, including researchers, engineers, and domain experts, to design and implement data science solutions that advance the … on performance and scalability Innovate and test new computational techniques to improve the accuracy and robustness of models for research applications Contribute to algorithmic advancements in the context of AI, machine learning, and deep learning Stay updated on the latest academic research and industry advancements in data science, AI, and information systems, and apply relevant findings to ongoing projects Work … specialized techniques relevant to computer and information research Experience with version control systems (e.g., Git) and software development practices Strong background in applying data science to domains such as AI, computational research, data mining, or information systems Excellent problem-solving skills and the ability to think critically and analytically to address complex research challenges Strong verbal and written communication skills More ❯

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate … to accelerate your skills. What You Bring Along: Minimum 7 years as a consultant, engineer or architect who has deep expertise in Enterprise Search concepts and technology, including generative AI technologies. This should include solid experience deploying Elastic Search solutions or similar domains (Solr, Algolia, AWS OpenSearch, Palantir, Unbxd, e-commerce site search engines). You have designed and built … with a pre-sales organization in scoping the needs of Customers Comfortable with Ansible, JavaScript, Terraform ECK experience or Kubernetes Knowledge of machine learning and Artificial Intelligence (AI) Proven understanding of Java and Linux/Unix environment, software development, and/or experience with distributed systems Experience and curiosity about delivering and/or developing product training Experience More ❯

communities Partner with and influence stakeholders across the ViiV insights & analytics space and in the broader Tech organization in the development of the ViiV data architecture and data/AI governance framework. Basic Qualifications: First and foremost, you will be enthusiastic and energised about data and be driven to share that knowledge and excitement with others. In addition: Master's … subject and experience in a related field i.e. MBA, Statistics, Data Science or equivalent experience (Mathematics, Information Science, Computer Science, or similar) Hands on experience with Advanced Analytics, Generative AI (GenAI), Statistics in a commercial environment A passion for writing clean, maintainable code in Python A broad knowledge of tech; comfortable recommending non-data science solutions where appropriate Proven experience … it would be a plus: PhD - in a STEM subject and experience in related field i.e. Statistics, Data Science or equivalent experience (Mathematics, Statistics, Information Science, Computer Science, ML, AI, Bioinformatics or similar) Demonstrated experience in product ownership and stakeholder management. Demonstrated experience with Azure stack (databricks, AMLS, etc.) Knowledge of the data landscape in healthcare (EHR, claims data, real More ❯

the Basel 3 Regulatory Framework, FRTB and BCBS 239, and prepare for upcoming regulation around Liquidity and Interest Rate Risk and supporting our clients in leverage how to deploy AI in their businesses responsibly. As we look to the future prudential regulation will increasingly have a Climate Risk component, and EY have been recognised as leaders in ESG and sustainability … Collab, Confluence Experience of engineering based on the likes of SQL, SSIS, Python, Java, Scala, XML/FpML and Power BI Data architecture, data lineage and all aspects of AI including, but not limited to, NLP, ML, deep learning and Generative AI Testing/quality engineering; experience of test automation will be beneficial Process Automation, BPM and Digital Platforms, e.g. … of Azure, AWS and Google would be beneficial) Experience of handling information security and privacy challenges Interest and awareness in emerging technologies Experience of vendor packages. An appreciation of Artificial Intelligence and Machine Learning Academic and prior experience A university degree, 2:1 (or equivalent) or above is usually preferred, however we would be open to outstanding candidates More ❯

Pelagic AI, LLC 1765 Greensboro Station Place, Tower 1, Suite 900, McLean VA 22102 USA +1 DevOps Engineer - (Mid level/Senior/Expert) Data Posted: August 2024 Job Title: DevOps Engineer - (Mid level/Senior/Expert) Req Number: 200-xxxx Location(s): Herndon, VA, Chantilly, VA, Melbourne, FL Position Type: Full-Time, W-2 Employment Salary Range: Competitive … polygraph or willingness to take one. Background investigation required, including a minimum of a criminal and credit check as well as at least three professional references. Role Overview: Pelagic AI is seeking DevOps Engineers of varying levels of experience to support the development and integration of various intelligence capabilities into a test and subsequently operational environment. You will be … numerous components into the larger system infrastructure. Deployment will be across multiple networks into hybrid architectures consisting of both local and cloud infrastructures. As a DevOps Engineer at Pelagic AI, you will be a vital part of our team, contributing to the design and implementation of advanced software solutions. You will work under the guidance of senior engineers to develop More ❯

Grade Level (for internal use): 10 Job Description The Role: Sr Data Scientist- NLP, LLM and GenAI S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for hands-on ML scientists and NLP/Gen AI/LLM scientists to grow into the next step in their career … apply her or his technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research around LLMs, Gen AI, and related areas. Responsibilities: ML, Gen AI, NLP, LLM Model Development: Design and develop custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines. … develop, validate, and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability, during development, UAT. Implement model optimizations to improve system efficiency. NLP, LLM, Gen AI Model Deployment: Work closely with the MLOps team for the deployment of machine learning models into production environments, ensuring reliability and scalability. Internal Collaboration: Collaborate closely with product teams, business More ❯

Grade Level (for internal use): 10 Job Description The Role: Sr Data Scientist- NLP, LLM and GenAI S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for hands-on ML scientists and NLP/Gen AI/LLM scientists to grow into the next step in their career … apply her or his technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research around LLMs, Gen AI, and related areas. Responsibilities: ML, Gen AI, NLP, LLM Model Development: Design and develop custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines. … develop, validate, and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability, during development, UAT. Implement model optimizations to improve system efficiency. NLP, LLM, Gen AI Model Deployment: Work closely with the MLOps team for the deployment of machine learning models into production environments, ensuring reliability and scalability. Internal Collaboration: Collaborate closely with product teams, business More ❯