2,101 to 2,125 of 3,425 DemandTrendPermanent Artificial Intelligence Jobs

system studies, planning & analysis activities on client's distribution and transmission network Enhance analysis to translate to insights using advanced data processing functionality including machine learning and/or AI applications. Validate data and results to identify required data quality enhancements Perform grid analyses such as short circuit analysis, hosting capacity, feeder load management, and timeseries power flow utilizing distribution … management software including but not limited to: Siemens, Schneider, GE, Oracle, OSI, and Hitachi solutions Present findings of analyses to broad stakeholder groups translating engineering intelligence to business value Document client processes, technologies, and systems to support identification of current and future utility grid systems Report on progress of large scale data initiatives to business leadership and identify data More ❯

solution design through to delivery Architect and implement cloud data solutions (Snowflake, Azure, AWS or GCP) Work with BI and visualisation tools such as Power BI or Tableau Apply AI and advanced analytics techniques where relevant, including LLMs and predictive modelling Translate complex business problems into actionable technical solutions Mentor and develop a growing team, raising the bar across delivery … data modelling experience Hands-on expertise with at least one cloud platform (Snowflake, Azure, AWS, GCP) Proficiency in a leading BI tool (Power BI or Tableau essential) Exposure to AI/ML techniques and enthusiasm to apply them in business contexts Strong consulting, communication and stakeholder management skills Experience leading teams and setting best practice standards BENEFITS In return, you … solution design through to delivery Architect and implement cloud data solutions (Snowflake, Azure, AWS or GCP) Work with BI and visualisation tools such as Power BI or Tableau Apply AI and advanced analytics techniques where relevant, including LLMs and predictive modelling Translate complex business problems into actionable technical solutions Mentor and develop a growing team, raising the bar across delivery More ❯

solution design through to delivery Architect and implement cloud data solutions (Snowflake, Azure, AWS or GCP) Work with BI and visualisation tools such as Power BI or Tableau Apply AI and advanced analytics techniques where relevant, including LLMs and predictive modelling Translate complex business problems into actionable technical solutions Mentor and develop a growing team, raising the bar across delivery … data modelling experience Hands-on expertise with at least one cloud platform (Snowflake, Azure, AWS, GCP) Proficiency in a leading BI tool (Power BI or Tableau essential) Exposure to AI/ML techniques and enthusiasm to apply them in business contexts Strong consulting, communication and stakeholder management skills Experience leading teams and setting best practice standards BENEFITS In return, you … solution design through to delivery Architect and implement cloud data solutions (Snowflake, Azure, AWS or GCP) Work with BI and visualisation tools such as Power BI or Tableau Apply AI and advanced analytics techniques where relevant, including LLMs and predictive modelling Translate complex business problems into actionable technical solutions Mentor and develop a growing team, raising the bar across delivery More ❯

experience in Quality Assurance Engineering, Performance Engineering, with at least 5 years in a strategic leadership position managing Quality Engineering teams and processes. Proven track record in using Generative AI in Quality Assurance Engineering. Demonstrated success in driving strategic QA initiatives across multiple product lines or services. Extensive experience in implementing and managing automated and on-demand testing environments, frameworks … Generative AI industry-leading automation solutions. Strong background in designing and executing automated test scripts for continuous integration/continuous delivery (CI/CD) pipelines. Solid expertise in performance & chaos engineering (e.g., Neoload, JMeter, LoadRunner, Gremlin, Chaos Monkey or equivalent) and security testing tools (e.g., OcWASP ZAP, Burp Suite). Experience integrating performance and security testing into DevSeOps workflows to More ❯

in designing and deploying cloud-native solutions. - Knowledge of professional software engineering & best practices for the full software development life cycle, including innovative engineering practices with GenAI and Agentic AI, code reviews, build processes, testing, and operations. - Experience on building Distributed Cloud Native platforms leveraging various System design patterns including Event Driven Architecture, Rate levelling, Event streaming , CQRS and others. … PREFERRED QUALIFICATIONS - Hands-on experience with AI/ML integration, including use of foundational models or building intelligent features. - Hands-on front-end development experience using modern frameworks such as Angular 6.0+, React, or Vue.js. - Background in product discovery methods like design thinking or event storming. - Participation in pre-sales, RFPs, or shaping solution architectures for new client opportunities. Our More ❯

NeurIPS, ICML, ICLR, TACL, ACL, NAACL, EMNLP, COLM). About the job The Gemini Factuality team is dedicated to ensuring the factual accuracy and reliability of our next-generation AI models. As a Research Scientist, you will play a critical role in measuring and enhancing the factuality of Gemini, collaborating extensively with research and engineering teams to drive foundational improvements. … This role requires a blend of theoretical research and applied science to address one of the most critical issues in AI today. Responsibilities Drive research efforts to improve complex frontier Gemini capabilities, such as factuality. Review the latest literature to guide research and experimental directions. Curate and generate data to evaluate and improve Gemini capabilities. Design and conduct supervised fine More ❯

We are seeking an experienced and highly skilled Drone Pilot to assist in the development and training of AI models, specifically in the areas of computer vision, sensor fusion, and autonomous navigation. The ideal candidate will be responsible for collecting high-quality data in real-world environments, contributing to the optimization of AI algorithms that power autonomous systems. As a … Drone Pilot for AI & Autonomous Systems Training, you will operate advanced drones to capture data essential for training and validating AI models that power autonomous navigation, object detection, and decision-making systems. Key Responsibilities: Pilot drones equipped with high-resolution cameras, LiDAR, thermal imaging, and other sensors to collect diverse datasets used for training AI algorithms, particularly for autonomous navigation … computer vision, and sensor fusion. Capture data in various real-world conditions (e.g., urban, rural, industrial, challenging weather conditions) to expose AI systems to a wide range of environments and scenarios. Execute complex drone missions with precise data collection objectives, such as aerial mapping, 3D reconstruction, obstacle detection, and object tracking. Collaborate closely with AI engineers, machine learning specialists, and More ❯

layer. Maintaining a hybrid environment during the transition, with both Oracle and the new .NET system temporarily coexisting. Supporting BAU operations while migration is in progress. We are leveraging AI-assisted tools to accelerate code analysis, documentation, and transformation. We are seeking Oracle experts with deep technical insight and practical experience to help guide this complex and high-impact initiative. … detail. Excellent communication skills, with the ability to document and explain complex systems clearly. Desirable Skills Experience working with legacy PHP systems and their integration with Oracle. Exposure to AI-assisted development tools for code analysis and migration. Familiarity with data modelling, version control of database logic, and CI/CD practices for backend services. Background in agile development and … oriented architectures or backend systems. What We Offer A central role in a high-impact digital transformation initiative. A collaborative and forward-thinking engineering culture. Opportunities to work with AI-enabled development tools and modern best practices in software delivery. More ❯

layer. Maintaining a hybrid environment during the transition, with both Oracle and the new .NET system temporarily coexisting. Supporting BAU operations while migration is in progress. We are leveraging AI-assisted tools to accelerate code analysis, documentation, and transformation. We are seeking Oracle experts with deep technical insight and practical experience to help guide this complex and high-impact initiative. … detail. Excellent communication skills, with the ability to document and explain complex systems clearly. Desirable Skills Experience working with legacy PHP systems and their integration with Oracle. Exposure to AI-assisted development tools for code analysis and migration. Familiarity with data modelling, version control of database logic, and CI/CD practices for backend services. Background in agile development and … oriented architectures or backend systems. What We Offer A central role in a high-impact digital transformation initiative. A collaborative and forward-thinking engineering culture. Opportunities to work with AI-enabled development tools and modern best practices in software delivery. More ❯

systems and processes. Assist in the creation of best practices for Agentic Systems architecture and integration, focusing on performance monitoring, optimization, and evaluation. Support your manager in working with AI researchers, ML engineers, and software developers to advance the capabilities of Agentic AI. Learn and contribute to fostering a collaborative and innovative team environment that drives performance and professional growth. … learn multi-agent architectures and frameworks like LangChain, AutoGPT, CrewAI. Excited about building or using LLM-powered Agentic solutions. Familiarity with developing, training, and deploying machine learning models, Gen AI models, and knowledge of model evaluation and optimization techniques. Basic understanding of cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), and microservices More ❯

key role in designing and building robust, scalable data pipelines that bring together data from across the organisation - including CRM, HR, Finance, and Commercial systems - into clean, trusted, and AI-ready datasets. You'll be part of a growing data team, working closely with architects, analysts, and business stakeholders to unlock insights and enable innovation. What You'll Be Doing … and Databricks. Integrate data from enterprise systems (e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling More ❯

key role in designing and building robust, scalable data pipelines that bring together data from across the organisation - including CRM, HR, Finance, and Commercial systems - into clean, trusted, and AI-ready datasets. You'll be part of a growing data team, working closely with architects, analysts, and business stakeholders to unlock insights and enable innovation. What You'll Be Doing … and Databricks. Integrate data from enterprise systems (e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling More ❯

key role in designing and building robust, scalable data pipelines that bring together data from across the organisation - including CRM, HR, Finance, and Commercial systems - into clean, trusted, and AI-ready datasets. You'll be part of a growing data team, working closely with architects, analysts, and business stakeholders to unlock insights and enable innovation. What You'll Be Doing … and Databricks. Integrate data from enterprise systems (e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling More ❯

key role in designing and building robust, scalable data pipelines that bring together data from across the organisation - including CRM, HR, Finance, and Commercial systems - into clean, trusted, and AI-ready datasets. You'll be part of a growing data team, working closely with architects, analysts, and business stakeholders to unlock insights and enable innovation. What You'll Be Doing … and Databricks. Integrate data from enterprise systems (e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling More ❯

key role in designing and building robust, scalable data pipelines that bring together data from across the organisation - including CRM, HR, Finance, and Commercial systems - into clean, trusted, and AI-ready datasets. You'll be part of a growing data team, working closely with architects, analysts, and business stakeholders to unlock insights and enable innovation. What You'll Be Doing … and Databricks. Integrate data from enterprise systems (e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling More ❯

key role in designing and building robust, scalable data pipelines that bring together data from across the organisation - including CRM, HR, Finance, and Commercial systems - into clean, trusted, and AI-ready datasets. You'll be part of a growing data team, working closely with architects, analysts, and business stakeholders to unlock insights and enable innovation. What You'll Be Doing … and Databricks. Integrate data from enterprise systems (e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling More ❯

solution design through to delivery Architect and implement cloud data solutions (Snowflake, Azure, AWS or GCP) Work with BI and visualisation tools such as Power BI or Tableau Apply AI and advanced analytics techniques where relevant, including LLMs and predictive modelling Translate complex business problems into actionable technical solutions Mentor and develop a growing team, raising the bar across delivery … data modelling experience Hands-on expertise with at least one cloud platform (Snowflake, Azure, AWS, GCP) Proficiency in a leading BI tool (Power BI or Tableau essential) Exposure to AI/ML techniques and enthusiasm to apply them in business contexts Strong consulting, communication and stakeholder management skills Experience leading teams and setting best practice standards BENEFITS In return, you More ❯

take ownership of building and deploying risk models that span from individual company assessments to broader supply chain evaluations. You’ll also play a key role in developing generative AI capabilities for insight reporting and contribute directly to new product development alongside Product, BI and wider Data Science teams. Key Responsibilities Build and implement risk models across companies and construction … finance, insurance, or supply chains. Knowledge of UK company law or insolvency risk is a bonus. Experience with PowerBI or similar data visualisation tools. Exposure to LLMs or generative AI for reporting is highly desirable. If this looks like it could be of interest, apply below. More ❯

transformation specialists who blend strategy, creativity, and deep tech expertise to solve complex business challenges. You'll work on high-impact projects that bring together the latest advancements in AI, cloud, and full-stack development. Responsibilities: Build proof-of-concept GenAI applications using tools like RAG and intelligent agents Scale prototypes into production-ready systems Design and develop full-stack … leadership, internal initiatives, recruitment, and team-building Technical Expertise: Backend: Python (FastAPI) or TypeScript (Express) Frontend: React (TypeScript) with Next.js or Vite GenAI: Familiar with LangChain, LangGraph, CrewAI, Vercel AI, etc. LLMs: Hands-on with OpenAI, Anthropic, LLaMA, Mistral, or similar Cloud: AWS or Azure proficiency Containers & IaC: Docker, Kubernetes, Docker Compose, Terraform Monitoring: Langsmith, Langfuse, or similar CI/ More ❯

Base + Performance Related Bonus + Benefits Location: Glasgow or Edinburgh preferred (Hybrid, flexible working available) About Hypercube Consulting Hypercube Consulting is a fast-growing data and AI consultancy specialising in the energy sector. We build world-class data solutions with deep domain expertise to help customers unlock value from their data. To learn more, visit: wearehypercube.com Role Overview We … junior project managers. Strong analytical and problem-solving skills, with a proactive approach to overcoming challenges. Desirable Skills: Experience within the energy sector or related industries. Background in data, AI, or analytics project delivery. Familiarity with project management tools such as Azure DevOps, JIRA, and MS Office. Experience supporting business development and proposal writing. Why Join Hypercube? Hypercube is an … and want to be part of an innovative team, apply now! For any questions, reach out to us at wearehypercube.com Join us in shaping the future of data and AI in the energy sector More ❯

business. You’ll set the standards, patterns, and principles for all data-related initiatives, ensuring alignment with business goals while enabling advanced analytics, BI, and emerging technologies such as AI and machine learning. Working closely with IT, security, compliance, and business stakeholders, you’ll translate strategy into practical roadmaps and architect solutions that deliver real value. Key Responsibilities Own and … on expertise in data modelling (conceptual, logical, and physical) Experience with MDM platforms (e.g., Profisee, Semarchy, CluedIn, Reltio) Strong understanding of APIs for system-to-system integration Familiarity with AI/ML services within Azure for enterprise data solutions ToGAF certification (or equivalent) highly desirable Why Apply? Join a forward-thinking global firm at the forefront of data strategy and More ❯

with business and IT leaders to evaluate and prioritize technology initiatives. Define reference architectures and reusable patterns for cloud, API, integration, and data platforms. Evaluate emerging technologies (e.g., biometrics, AI/ML, real-time payments) for strategic fit and innovation potential. Support modernization of legacy systems and migration to cloud/hybrid environments. Ensure architectural compliance with banking regulations (e.g. … tools (e.g., LeanIX, Ardoq, MEGA, Sparx EA). Preferred: TOGAF, Azure Architect, AWS Architect or equivalent certification. Experience in digital transformation, cloud migration, or core banking modernization. Exposure to AI/ML applications, enterprise risk, cybersecurity, and data governance programs. Familiarity with agile and DevSecOps practices in regulated environments. More ❯

applications using Azure cloud-native services. Write clean, testable, and maintainable code following industry standards. Implement CI/CD pipelines and test automation using Azure DevOps or JIRA. Apply AI-powered development tools to improve engineering productivity. Drive continuous improvement in tools, technologies, and practices. Participate in Agile ceremonies including sprint planning and retrospectives. Mentor peers and junior team members … Proficiency in Azure, Snowflake, and DBT. Experience in application modernisation and migration. Ability to produce clean, testable, maintainable code. CI/CD pipeline implementation and test automation. Familiarity with AI-powered development tools like GitHub Copilot. Mentorship and knowledge sharing. We are proud to be a Disability Confident Committed employer. If you have a disability and would like to apply More ❯

growing 130+ person Australian owned, multiple roles Attractive salary package, flexible working hours Role Are you interested in understanding and countering influence through social and formal networks leveraging human-AI collaboration and integration. Then join us with shaping and growing our information warfare research and development portfolio. What You'll Do The Senior Applied Scientist position sits within the Innovation … Science : Contribute to the organisation's research goals by leading and conducting research into approaches for: Cognitive behavioural modelling and computational psychology to simulate human-decision making and human-AI teaming. Improve workflow integration; and more broadly, identifying information/influence campaigns. Forecasting the reach and impact of such campaigns, understanding effects in the human/social context, and exploring More ❯

All applications must be received by the closing date 23:59 on 30 August 2025. Interviews are expected to take place week commencing 8 September 2025 We recognise that AI function tools (i.e. ChatGPT or other generative AI tools) are here to stay and can be helpful for applications e.g. to assist in researching for application responses and to shorten … your first draft. However, we are observing a growing trend in the use of AI, and we would caution applicants against relying too heavily on such tools when drafting responses. The pitfall of such tools is that they produce generic responses that don't showcase individuality, specific experiences or real-life examples. This usually results in applications being unsuccessful. We … You are more likely to successfully demonstrate your soft skills like communication and teamwork when preparing answers to application questions yourself and this helps mitigate the unintended consequences of AI-generated responses. If we suspect you have used AI inappropriately, the panel reviewing your application may adjust how your response is rated. For more details of what we consider to More ❯