601 to 625 of 7,412 Artificial Intelligence Jobs

firm to evolve our client lifecycle and productivity tools. You will lead the design, development, and implementation of solutions using Power Apps, Power Automate, Power Pages, Copilot Studio, and AI Builder. You will also provide technical leadership and mentoring to colleagues, supporting innovation and operational excellence. Key tasks include: Designing, developing, and maintaining Power Platform solutions, including model-driven and … Model-Driven), Power Automate, and Power Pages. Familiarity with tools such as SharePoint Framework (SPFx), PCF, Microsoft Graph, REST APIs, and Custom Connectors. Ideally, experience with Copilot Studio and AI agent configuration. Strong documentation skills and a user-centred design mindset. Relevant certifications such as Microsoft PL-400 or PL-600 (preferred). We encourage applications from candidates who may More ❯

breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of 22.1 billion. Get the future you want Disclaimer All More ❯

About the role We are looking for a Senior Machine Learning Engineer to join our AI team and help us build cutting-edge legal solutions for some of the world's largest law firms. In this role, you will leverage your deep expertise in machine learning, natural language processing, and large language model (LLM) agents to push the boundaries of … value. Strategic Innovation: Stay current with the latest trends and breakthroughs in NLP, machine learning, and multi-agent systems, and contribute ideas that shape the strategic direction of our AI initiatives. About You Machine Learning & NLP Expertise: Strong understanding of machine learning and natural language processing with relevant commercial experience in building and deploying NLP solutions. Cloud & Containerization Skills: Experience More ❯

challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions. As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and … best quality. Research discover and harness new ideas that can make a difference. What You'll Need To Succeed 4+ years hands-on data science experience. Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks. Significant proficiency in SQL and languages like Python, PySpark and/or More ❯

know. About Cleo Most people come to Cleo to do work that matters. Every day, we empower people to build a life beyond their next paycheck, building a beloved AI that enables you to forge your own path toward financial well-being. Backed by Tier 1 investors, we’ve reached millions of people to support them throughout their financial lives … evaluation. Here are some examples, big and small, of the kinds of product feature work our ML Engineers have taken part in over the last year: Designed and implemented AI agents to analyse and extract insights from users’ transactional data. Developed models to interpret transactional data, enhancing the understanding of users’ finances. Created contextual intent classifiers to understand user conversations More ❯

We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising. We're endlessly curious. Our team of thinkers, builders, creators and problem solvers are over 1,000 strong, across … systems, solving difficult and novel problems, and leading engineering and operational teams working in this space. Proven experience in developing data structures and algorithms. Experience working with ML/AI highly desirable. Proven experience contributing to product strategy development with Product Management teams. Experience in SaaS product engineering and operations highly desirable. Proven experience in modern software development and testing More ❯

us to handle the risks that come with using models for our decisions, especially with all the complex regulations and growing expectations from regulators. Plus, with new tech like AI (and Gen AI) and new financial risks like climate change, the modelling space is constantly evolving and needs to be managed well. That's where our team steps in! We More ❯

projects with clear business impact. Design and implement novel post-training strategies including preference tuning, reward modeling, and synthetic supervision. Develop innovative model architectures and training approaches for conversational AI, including speech-aware and multimodal models. Conduct empirical studies to assess model performance in live deployments and iterate quickly based on real-world data. Generate, collect, and annotate training data … published work or deployed systems. Strong programming skills in Python and deep learning frameworks like PyTorch. Demonstrated expertise in at least one domain area such as reinforcement learning, conversational AI, audio modelling, or LLM alignment. Experience leading projects end-to-end, from ideation to deployment. Excellent communication skills with the ability to write clear technical documents and explain complex concepts More ❯

lots of teams are releasing code 15-20 times per day!) Terraform Prometheus and Grafana If you've built and deployed complex Python applications or have experience with generative AI, we'd be especially keen to hear from you - we're always pushing the boundaries of what's possible with AI/ML. Interview process Interviewing is a two way 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 ❯

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 ❯