4 of 4 Remote/Hybrid Contract Azure Machine Learning Jobs

seeking a highly skilled and motivated Python Developer with experience in Google Cloud Platform (GCP), Microsoft Azure, and Machine Learning technologies. The ideal candidate will be responsible for developing scalable solutions, deploying machine learning models, and integrating cloud-based … services using cutting-edge technologies. Key Responsibilities Design, develop, and maintain scalable Python applications. Build and deploy machine learning models on cloud platforms (GCP and Azure). Develop, test, and optimize machine learning algorithms for various business use cases. ...

Machine Learning Developer (Document AI & NLP) Duration: 6-month contract (FTC/Subcon) role Hybrid 3 days onsite Location:Sheffield The Role You will design and build Python-based ML and OCR components, taking ownership of the full lifecycle-from initial requirement gathering with stakeholders … solutions. Innovation: Continuously test and improve existing features using traditional ML and Generative AI. Technical Requirements Mandatory Skills: Azure Machine Learning: Proven experience within the Azure ecosystem. Document AI: Strong background in Intelligent Document Processing (IDP) using both traditional ...

record of actually implementing/delivering AI Automations . The role focuses on leveraging the Microsoft technology stack, including Copilot Enterprise, Power Apps, Azure services, Python, and OpenAI technologies, to streamline workflows, enhance operational efficiency, and support data-driven decision making. The successful candidate will work closely … systems. Strong problem-solving and analytical skills. Desirable Experience Experience with Azure AI Studio, Azure Machine Learning, or Cognitive Services. Familiarity with DevOps practices and CI/CD pipelines within the Microsoft ecosystem. Experience integrating AI solutions with Microsoft ...

validation, deployment, and monitoring of models. Support scalable ML solutions across use cases like recommendations, forecasting, and automation. Work with tools like Airflow, Azure ML, and FastAPI to deliver production-ready systems. Automate model deployment workflows using CI/CD tools (e.g. GitHub Actions, Azure … data scientists to productionise research code and models into scalable services. Help implement monitoring, alerting, and model drift detection using tools like NewRelic, Azure Monitor, and custom logging frameworks. Continuously improve and manage infrastructure using Terraform, Docker, and Fargate. Your Profile Essential skills/knowledge/experience ...