26 to 38 of 38 Permanent Azure Machine Learning Jobs

provide our clients with an integrated end-to-end solution. Our solutions are based on the Dynamics 365, Microsoft 365 and Azure range of products which enables us to deliver, powerful, connected business solutions that drive significant client value. The Role: We are looking for a client … technical matters. The Consultant will be responsible for: Delivery & Engineering Design, build, and optimise data pipelines and architectures using Microsoft Fabric and adjacent Azure data services. Implement ingestion and transformation patterns in Fabric using Lakehouse, Pipelines, and Notebooks, ensuring data is accessible, well-organised, and high-quality. ...

will collaborate with clients to understand complex business challenges, architect scalable AI solutions, and deploy them using modern cloud platforms such as AWS, Azure ML and GCP AI Services. This role offers the opportunity to work on cutting-edge technologies in Generative AI, LLM fine-tuning, agentic … enabling the enterprise with an AI-powered core and agile digital at scale to deliver unprecedented performance and customer delight. Our always-on learning agenda drives continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. Infosys is proud to be an equal ...

Ground‐Breaking AI Initiative at IQVIA**IQVIA is building a world‐class team to develop large‐scale AI solutions using cutting‐edge machine learning architectures. Our mission is to integrate data across clinical, real‐world, and biomedical sources to unlock new insights into patient trajectories … biomarker discovery, or trial optimization.* Experience with agentic AI or LLM orchestration in Life Sciences.* Familiarity with platforms such as AWS, Azure ML, Databricks, foundation‐model platforms (e.g., ChatGPT, Claude), or modern code/AI tooling.## ## ## **What We’re Looking For*** **Polymath mindset:** Ability ...

data extraction and transformation. Knowledge of supply chain/logistics KPIs. Familiarity with AI/ML tools and languages, including Python, R, Azure ML, or AWS SageMaker. Why Ligentia? Why now? Accelerated growth in one of the most dynamic industries you can imagine. Brilliant customers including some ...

smarter, and more impactful outcomes. The Role We are seeking a Senior Technical Architect with deep expertise in Microsoft Dynamics 365, Power Platform, Azure, and enterprise architecture. The ideal candidate will have a strong background in solution design, AI integration, and technical leadership, with a proven track … record of delivering complex projects and mentoring teams. Essential Expertise 10+ years’ experience delivering Microsoft Dynamics 365 solutions (Finance, Supply Chain, Power Platform, Azure) Enterprise and technical architecture (TOGAF, ADM) Solution design, integration, and data migration AI offerings, frameworks, and approach Project management (Prince2 Agile, MSP) Technical ...

workloads across one or more CSPs or third-party vendor technologies, including Google PaLM and Vertex AI, Azure OpenAI Services and AzureML, AWS Bedrock and Sagemaker, Dataiku, Databricks, Snowflake SnowPark and Snowflake Cortex, Data Robot. Experience in architecting scalable, performant & cost optimized AI/ML solutions leveraging … database technologies and Semantic Search techniques & tools. Experience in writing robust and efficient code in Python. Experience in using tools relevant to deep learning like PyTorch, TensorFlow, LangChain. Experience in designing & implementing key MLOps capabilities & frameworks in delivering robust train, test, monitor and improve lifecycles for AI/ ...

workloads across one or more CSPs or third-party vendor technologies, including Google PaLM and Vertex AI, Azure OpenAI Services and AzureML, AWS Bedrock and Sagemaker, Dataiku, Databricks, Snowflake SnowPark and Snowflake Cortex, Data Robot. Experience in architecting scalable, performant & cost optimized AI/ML solutions leveraging … database technologies and Semantic Search techniques & tools. Experience in writing robust and efficient code in Python. Experience in using tools relevant to deep learning like PyTorch, TensorFlow, LangChain. Experience in designing & implementing key MLOps capabilities & frameworks in delivering robust train, test, monitor and improve lifecycles for AI/ ...

APIs, and data layers Build and deploy RAG-based and agent-driven AI systems using secure, governed data sources Develop scalable services on Azure, integrating with enterprise platforms and data pipelines Implement MLOps and AIOps capabilities including model lifecycle management, monitoring, and automation Embed security, compliance … engineering experience (React/TypeScript, Python, FastAPI, or Node.js) Proven experience building AI/ML systems, particularly RAG or agent-based architectures Solid Azure expertise (Azure ML, Azure OpenAI, Functions, AKS, CI/CD pipelines) Data engineering knowledge including pipelines, schema ...

Level: Engineer or Senior Location: UK-based, fast-growing technology startup specialising in the energy sector Cloud Experience: Must have AWS or Azure (certifications desirable) Management: No direct line management required Consultancy/Energy Experience: Highly beneficial, non-essential Visa Sponsorship: Not currently available; right to work … Engineers on technical direction. End-to-End AI Delivery: Design, build, and maintain scalable AI and LLM-based pipelines using AWS or Azure services (e.g., SageMaker, Azure ML, Databricks, OpenAI integrations). Contribute across AI model lifecycles from data preprocessing and prompt engineering through ...

Python and ML/DL frameworks (e.g., scikit-learn, PyTorch, TensorFlow) Experience with AI/ML tools (e.g., Jupyter, MLflow, Vertex AI, Azure ML, Amazon SageMaker Experience of creating delivery client-facing proof of concepts Strong knowledge of cloud platforms (Azure ...

intersection of two explosive growth markets: AI and beauty tech. We are looking for a Mid-Level Computer Vision/Deep Learning Engineer to join our team. In this role, you won't just be researching models in a vacuum, but own the end-to-end ML lifecycle … , AWS, or GCP). Data visualization skills using tools like Plotly or Gradio. Your Tech Stack: Python, PyTorch, ONNX, OpenCV, Microsoft AzureML, GCP Vertex AI and PostgreSQL. We also heavily utilize modern workflow and productivity tools including Jira, Notion, Slack, GitHub, GitHub Copilot, Codex, Gemini, and OpenAI. ...

engineering experience - for example, working with IaC, Terraform, or similar tooling. Role: * Contribute to the design and delivery of robust, automated, and scalable Azure and Snowflake data platform components. * Develop and maintain infrastructure-as-code using Terraform, ensuring consistency and reusability across environments. * Build and optimise …/CD pipelines using Azure DevOps and GitHub Actions to support rapid, reliable deployments. * Implement observability practices including logging, metrics, and alerting using observability tools. * Collaborate with the Lead Engineer and Architects to align implementation with platform standards and patterns. * Provide technical guidance and mentorship ...

Design and implement integrations with hospital systems (EHR, HL7/FHIR), including partnerships with major healthcare data platforms 🔹 Build and maintain Python/Azure-based services — APIs, data pipelines, monitoring and audit frameworks 🔹 Write software that meets medical device quality standards, producing artefacts that support regulatory submissions … Looking For ✅ 5+ years of professional software engineering experience with a strong Python background ✅ Proven experience building and operating production services on Azure or AWS ✅ Comfort with data-heavy systems — pipelines, databases, REST APIs — and a taste for clean architecture ✅ Strong written communication; able to document work ...