301 to 325 of 393 Azure Machine Learning Jobs

Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and … discipline, such as mathematics, statistics, computer science, or mechanical engineering •Professional certification, e.g., Open Certified Data Scientist •Cloud platform certification, e.g., AWS Certified Machine Learning– Specialty, Google CloudProfessional Machine Learning Engineer, or Microsoft Certified: Azure Data Scientist Associate •Understanding … is a great place to kickstart your career. You will contribute to our business from day one and get access to some incredible learning opportunities to build your skills for your future. You’ll also collaborate with global teams, take advantage of mentorship opportunities and get involved in More ❯

Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and … discipline, such as mathematics, statistics, computer science, or mechanical engineering •Professional certification, e.g., Open Certified Data Scientist •Cloud platform certification, e.g., AWS Certified Machine Learning– Specialty, Google CloudProfessional Machine Learning Engineer, or Microsoft Certified: Azure Data Scientist Associate •Understanding … is a great place to kickstart your career. You will contribute to our business from day one and get access to some incredible learning opportunities to build your skills for your future. You’ll also collaborate with global teams, take advantage of mentorship opportunities and get involved in More ❯

continuous years Unspent criminal record check (Disclosure and Barring Service) Your Role We are looking for individuals with strong technical knowledge in machine learning, GenAI, computer vision, and data science, combined with solid solution architecture and software engineering skills. You will design and build deployable solutions … emphasizing equity and diversity as part of our daily culture. Your Skills and Experience Proficiency in AI techniques such as supervised and unsupervised machine learning, GenAI, deep learning, graph analytics, NLP, sentiment analysis, etc. Excellent communication skills to present complex work clearly to clients … and public sector clients, including participating in RFI/RFP processes, preparing bids, and delivering presentations. Familiarity with data science platforms (e.g., Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g., Keras, TensorFlow, PyTorch, scikit-learn). Experience deploying solutions on Cloud platforms (AWS, Azure, Google Cloud) using provisioning More ❯

to implement AI across departments Your Profile: Min 5 years of experience in data science within a business context Data wrangling, statistical analysis, machine learning, and predictive modeling Python and libraries such as Pandas, NumPy, Scikit-learn SQL, Power BI, and Databricks Strong business acumen: ability … to translate data insights into business recommendations Cloud & GenAI Expertise: Hands-on with Azure cloud services (Azure ML, Azure AI, Azure OpenAI, Vertex AI, etc.) Experience deploying GenAI models with tools like GitHub workflows, CI/CD pipelines More ❯

team, agreeing priorities with stakeholders and the Head of Data Science, enabling the team to deliver against agreed targets. Work closely with the Machine Learning Operations team to deliver products to end users, leveraging and contributing to established engineering standards and best practices. Work collaboratively with … model outputs into our data platform, ensuring their effective use in analysis and reporting. Identify and drive improvements in our product lifecycle and machine learning pipelines, enhancing efficiency and enabling the team to innovate rapidly. Explain the implications of models and model insights to business stakeholders … management skills to lead, motivate and grow a team who are geographically dispersed. Comfortable using a multi-platform stack to deliver products (Databricks, Azure ML Studio, Azure and Snowflake, SageMaker, AWS). Ability to take ownership of a broad product-set and drive forward More ❯

including Data Engineering, Advanced Analytics, and AI. At Exsolvæ, our "Solvers" are passionate professionals equipped with cutting-edge tools, a culture of continuous learning, and an unwavering commitment to delivering high-impact solutions. We are seeking a Data Engineering Specialist with expertise in Azure technologies … collaboration skills to engage with clients and cross-functional teams. Preferred Skills Familiarity with MLOps pipelines and integration with Azure Machine Learning. Knowledge of Power BI for creating interactive dashboards and visualizations. Microsoft Certified: Azure Data Engineer Associate or equivalent certifications. What … Why Join Us? Impactful Projects : Engage in transformative Azure-based data initiatives across industries like finance, healthcare, and manufacturing. Continuous Learning : Access the latest tools, certifications, and training opportunities to remain at the cutting edge of Azure technologies. Collaborative Culture : Be part More ❯

and AI frameworks for ingestion, storage, and processing. Build real-time and batch data solutions using Spark, Kinesis, and Pub/Sub. Develop machine learning pipelines, MLOps best practices, and automated model deployment. Architect cloud-based data lakes, warehouses, and AI-driven analytics platforms. Champion compliance … to non-technical stakeholders. EXPERIENCE & SKILLS REQUIRED Expertise in solution design, data engineering, and AI/ML platform construction. Good with artificial and machine learning systems (Google Vertex AI, Azure ML, AWS SageMaker) and contemporary data tools (BigQuery, Databricks, Snowflake, Spark). Good … Discounted Private Health Cover, Eye Care Discounts. Wealth Benefits: Shopping Discounts, Debt Support, Money Advice, Free Credit Reports, Travel Money Savings. Education Benefits: Learning Courses, Business Skills Training. *Offered only to employees based in the UK. Apply for this job Full Name * Email * Phone * Canada +1 Single Line More ❯

and build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. … the right fit for Deloitte landscape and uses cases. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG … privacy regulations Connect to your skills and professional experience A bachelor’s degree or higher in AI or equivalent. Experience in data science, machine learning, and AI, with a proven track record of delivering AI-driven solutions in a professional setting, using a variety of tools More ❯

are looking for experience in the following skills and areas: AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector databases. Implementation of AI/ML architectural patterns and best practices, including data drift … monitoring, scaling, disaster recovery, high availability) on one or more cloud platforms. Software Engineering and DevSecOps practices. Set yourself apart with: Certified cloud Machine Learning (e.g., AWS Certified Machine Learning – Specialty). Creating PoCs to facilitate learning. Experience delivering production AI/ More ❯

in support of 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 … 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 … experience with computer vision technologies, video/image analytics, and metadata processing. Hands-on experience with ML/AI pipelines, model training, active learning, and image data enrichment. Familiarity with Agile development environments, CI/CD integration, and software configuration management. Experience supporting ISR or national defense-related More ❯

customers through workshops, training sessions, and documentation to empower them to effectively utilize, maintain, and reproduce the AI solutions you deliver. Maintain continuous learning and stay up-to-date with the rapidly evolving GenAI landscape, proactively seeking knowledge of new trends and technologies. Required Qualifications: Enterprise Application Development … Docker, and Kubernetes, and proficiency in source control software, including Git and SVN. Cloud Computing Expertise : Practical experience with cloud platforms (e.g., AWS, Azure, GCP) and demonstrated proficiency in deploying applications within cloud environments. Generative AI Ecosystem Knowledge : Deep understanding of the generative AI ecosystem … including AI orchestration frameworks (e.g., LangChain, Llama Index, Haystack) and cloud provider AI offerings (e.g., AWS Bedrock, Vertex AI, Azure Machine Learning). Data Expertise : Strong foundation in data engineering, data analytics, or data science, with the ability to work effectively with various More ❯

national law enforcement operations. Identify innovative solutions to complex technical challenges. Tech Stack & Skills: Frontend & API: React/Next.js Node.js TypeScript Express.js Docker Azure Web Apps Backend: Node.js TypeScript Azure Function Apps Elasticsearch Kubernetes Infrastructure & DevOps: Microsoft Azure (Function Apps, Web … Apps, Container Registry, Cosmos DB, API Management, Log Analytics) Azure DevOps (Repos, Pipelines, Boards, Wiki) Infrastructure … as Code (Bicep) Azure Kubernetes Service (AKS), Helm Charts Authentication via Microsoft Entra ID (formerly Azure AD) Machine Learning Studio Ideal Candidate: Holds active SC clearance and is willing to undergo eSC. Has experience in government or secure environments (preferred More ❯

and growing data team, reporting directly into the Head of Data and AI. The core of the role will be developing and deploying Machine Learning models, which will be integrated into various platforms including their website, to allow for better customer personalization and product recommendations. You … and scaling of your solutions within their data infrastructure. They work on an AWS tech stack, but are open to seeing candidates from Azure backgrounds too, as long as you have experience leveraging Databricks as this is a core part of their tech stack. This is a … a Data Scientist to make a tangible impact on a business that is investing in its data capabilities! Requirements Experience developing and deploying machine learning models Skills in Python, SQL, and ML frameworks such as TensorFlow, PyTorch, or scikit-learn Hands-on experience with Databricks (either More ❯

you will lead strategic data initiatives aimed at optimizing customer engagement, pricing, and inventory management across retail operations. Key Responsibilities: Develop and deploy machine learning models to support business objectives (e.g., customer segmentation, demand forecasting, price optimization). Conduct deep-dive analyses on customer behavior, sales … and data visualization tools (e.g., Power BI, Tableau). Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Expertise in machine learning, statistical modeling, and predictive analytics. Excellent communication and stakeholder management skills. Desirable: Experience working with large-scale retail datasets (e.g., POS More ❯

analytics tools. Developing and enhancing data collection procedures to include information that is relevant for building analytic systems, utilising tools such as WhereScape, Azure Synapse, Snowflake, AWS Redshift. Monitoring performance and advising any necessary infrastructure changes, utilising BI tools such as Qlik Sense Cloud … Power BI, or Tableau, as well as the AI, ML, and NL tools available in Fabric. This includes leveraging Azure Machine Learning for predictive analytics. Preparing ad-hoc analysis and presenting results in a clear manner Work with stakeholders and business analysts to More ❯

architecture for our Data Science & AI capabilities. Responsible for the implementation and management of secured, highly scalable, performance efficient, modernised infrastructure across our Azure cloud platforms supporting our Data Science and AI toolset. Automate infrastructure provisioning, configuration, and deployment processes, with CI/CD principles a strong … improvements. Ensure Security and Compliance of our infrastructure and Solutions, including a focus on Vulnerability Management & Maintenance. Knowledge and Experience: Strong experience implementing Azure Infrastructure Services in accordance with best practises. Strong experience in automation leveraging scripting languages such as JSON, Bicep, Yaml, Python, Terraform, Ansible and … PowerShell. Proven understanding in Containerisation and Serverless computing services and practices (examples such as Docker, Azure AKS, ACI, AWS EKS and Lambda). Strong networking skills specifically in the use of securing data in the cloud. Experience in the deployment and support of Databricks, Azure More ❯

idea to outcome. World Wide Technology EMEA. has an opportunity available for a Data Scientist or Data Engineer with a strong background in Machine Learning (ML) or Artificial Intelligence (AI) to join our client’s risk and security team. This role is critical in evaluating AI … e.g., MLflow, ModelOps platforms). Excellent communication and documentation skills for technical and non-technical stakeholders. Bachelor’s or Master’s degree in Machine Learning, AI, Computer Science, Statistics, Mathematics or a related field. Preferred Qualifications Experience working in AI governance, security risk assessment or regulated … AI frameworks or security standards (e.g. NIST AI RMF, ISO/IEC 23894). Familiarity with cloud-based ML platforms (e.g. AWS SageMaker, Azure ML, GCP AI Platform). More ❯

idea to outcome. World Wide Technology EMEA. has an opportunity available for a Data Scientist or Data Engineer with a strong background in Machine Learning (ML) or Artificial Intelligence (AI) to join our client’s risk and security team. This role is critical in evaluating AI … e.g., MLflow, ModelOps platforms). Excellent communication and documentation skills for technical and non-technical stakeholders. Bachelor’s or Master’s degree in Machine Learning, AI, Computer Science, Statistics, Mathematics or a related field. Preferred Qualifications Experience working in AI governance, security risk assessment or regulated … AI frameworks or security standards (e.g. NIST AI RMF, ISO/IEC 23894). Familiarity with cloud-based ML platforms (e.g. AWS SageMaker, Azure ML, GCP AI Platform). More ❯

idea to outcome. World Wide Technology EMEA. has an opportunity available for a Data Scientist or Data Engineer with a strong background in Machine Learning (ML) or Artificial Intelligence (AI) to join our client’s risk and security team. This role is critical in evaluating AI … e.g., MLflow, ModelOps platforms). Excellent communication and documentation skills for technical and non-technical stakeholders. Bachelor’s or Master’s degree in Machine Learning, AI, Computer Science, Statistics, Mathematics or a related field. Preferred Qualifications Experience working in AI governance, security risk assessment or regulated … AI frameworks or security standards (e.g. NIST AI RMF, ISO/IEC 23894). Familiarity with cloud-based ML platforms (e.g. AWS SageMaker, Azure ML, GCP AI Platform). More ❯

Cloud, Data & AI, Enterprise Applications, Workplace Services and Cyber Security & Networking. Values: Open, Trusted and Bold Trusted Partners: Microsoft: Top 3 Service Providers, Azure Expert Status, Fastrack & Inner Circle Partner HPE: Platinum Partner – FY23 UK&I Solution Provider of the Year Palo Alto & Crowdstrike: part of our … typically in London or Farnham. Responsibilities What will I be doing? Working on client leads and opportunities that utilise tools primarily within Microsoft Azure Data & AI (experience of other cloud platforms is useful but not necessary) Working closely with clients and building lasting customer relationships Clearly articulating … across organizational boundaries. What experience/skills do I need? Industry experience in designing data lake, data warehouse and analytics solutions on Microsoft Azure with a good grounding in all associated areas Ability and aptitude towards investigating and sharing new technologies Strong spoken and written English skills More ❯

in Computer Science, Engineering, Data Science, or related field (or equivalent experience) Proven experience in designing Data & AI solutions Strong knowledge of Microsoft Azure (preferred: Microsoft Fabric, Azure Synapse, Azure ML) Hands-on experience in at least 3 of the following … areas : Semantic Layer & Data Modeling Data Warehousing & Engineering Real-time Data Pipelines Machine Learning & MLOps Generative AI/LLMs IoT Architecture Data Governance & Quality Management Familiarity with agile project methodologies and customer-facing roles ABOUT YOU ️ Proactive and solution-oriented with a strong client focus. Able More ❯

levels within the salary range, so candidates are not expected to be experienced in all areas listed below. AI techniques (supervised and unsupervised machine learning, deep learning, graph data analytics, statistical analysis, time series, geospatial analysis, NLP, sentiment analysis, pattern detection, etc.) Python, R … Bricks/Data QISQL for data access and processing (PostgreSQL preferred, but general SQL knowledge is important) Latest Data Science platforms (e.g., Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g., TensorFlow, MXNet, scikit-learn) Software engineering practices (coding standards, unit testing, version control, code review) Hadoop distributions (Cloudera, Hortonworks), NoSQL databases … tools like Jenkins, configuration management with Ansible, containerisation with Docker, Kubernetes) Data visualization skills (JavaScript preferred) Experience deploying solutions on Cloud platforms (AWS, Azure, Google Cloud) including provisioning tools (Terraform) Strong interpersonal skills for client engagement and requirement gathering Ability to translate business needs into technical solutions More ❯

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. … 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. … milestones and fundraising milestones. Identify and evaluate opportunities for AI-driven competitive advantages (e.g., proprietary data, unique model architectures, transfer/few-shot learning). Collaborate with business stakeholders to translate “big problems” into technically feasible AI solutions. Data & Infrastructure Oversee the creation and maintenance of scalable data More ❯

Kanban) Applying software design patterns Creative problem-solving for client challenges Experience in the following is a plus, but training will be provided: Machine Learning tools (Amazon, Azure ML, TensorFlow) Cloud deployment (AWS, Azure) Containerisation (Docker, Kubernetes) Database systems (relational More ❯

cloud-native solutions like Azure, Databricks, Synapse, Azure Data Lake, Power BI and Azure Machine Learning. Working hands-on to improve the performance, security, and maintainability of the analytics lands. Essential Skills: Bachelors or Masters degree in Computer Science … or a related field. Deep experience with cloud-based analytics and data engineering tools, especially within Azure Strong knowledge of data platform architecture, including pipeline design, security, performance tuning, and automation. Hands-on familiarity with infrastructure as code, containerization, microservices, and event-driven design. Excellent communication and More ❯