15 of 15 Permanent Azure Machine Learning Jobs in the South East

Machine Learning Operations Engineer Our financial services client based in London is looking to recruit a Machine Learning Operations Engineer ASAP. The position will be a Hybrid role be working from home and their offices in London. To be considered … role you must have the following essential skills & experience: Key Skills & Experience Model development: Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine ...

work we want to be part of. The role: We seek an adept expert to contribute significantly to our R&D team, bridging machine learning engineering with applied data science. You'll improve and manage our Machine Learning Operations (MLOps) on Azure, and participate in creating, assessing, and advancing various machine learning models and AI systems. Collaborate extensively with scientific and operational teams to guarantee the robustness, scalability, and reliability of our AI tools. Implementing automation and standardization throughout the ML lifecycle, your efforts will ...

ecosystem. You'll ensure that the data platform architecture supports availability and growth targets and that the platforms leverage advances in AI and Machine Learning capability. They are currently working with a 3rd Party Data Partner who have recommended a number of improvements - you'll work … hybrid cloud environment but predominantly Azure/Databricks - Experience of pipeline orchestration management - Strong exprerience with Databricks - Experience of implementing machine learning and AI - Tooling such as Purview and Unity Catalog as well as the use of observability tools such as Monte Carlo ...

management, and data security solutions for an enterprise across business verticals Experience on at least one of the 3 major cloud platforms- AWS, Azure, GCP Knowledge of GenAI technologies, including LLMs (Large Language Models), generative models … related frameworks (e.g., LangChain, TensorFlow, etc.) Possess knowledge of cloud-based AI/ML services like AWS SageMaker, Azure Machine Learning, Google AI Platform, Databricks GenAI/BI, Snowflake GenAI, and their relevant services for building and deploying GenAI workloads. Knowledge of market ...

ML) Proven experience developing or deploying AI models across domains such as natural language processing, computer vision, or predictive analytics Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data science tools (e.g., Jupyter, Pandas, NumPy) Ability to design, train, and evaluate supervised … unsupervised learning algorithms Strong teamwork and interpersonal skills, with a collaborative and agile mindset Proven ability to work within agile development environments Self-motivated, detail-oriented, and capable of managing multiple tasks Desirable Skills Knowledge of geological or subsurface data domains Experience with containerization tools such as Docker ...

implement Microsoft-specific solutions with Microsoft Dynamics 365, including Dynamics 365 Contact Centre, Power Platform (Power BI, Power Apps, Power Automate), and Azure services to streamline processes, enhance data insights, and enable personalized interactions, making business operations more efficient and customer-centric. Plan and drive the implementation … met. Ensure all appropriate reporting is in place. Leverage Microsoft’s AI-driven capabilities such as Copilot, Azure AI, and machine learning capabilities to enhance customer experience, business processes and decision-making. Collaborate across our business sharing knowledge within the Accenture ecosystem ...

engineering disciplines: Cloud Engineering Data Engineering (framework design, not just pipelines) DevOps MLOps/LLMOps Technologies you'll often work with: Cloud Platforms: Azure, AWS, GCP Data Tools: Airflow, dbt, Databricks … Snowflake Developer Tooling & CI/CD: GitHub, Azure DevOps, Terraform (or other Infrastructure-as-Code tools) MLOps/LLMOps Frameworks: MLflow, AzureML, LangSmith ...

required: AWS Bedrock/Sagemaker, Google Vertex AI, OpenAI and Azure ML is required An understanding of underlying statistics, machine learning and data science, data engineering and big data concepts is required An understanding of the process and data complexities and prerequisites ...

required: AWS Bedrock/Sagemaker, Google Vertex AI, OpenAI and Azure ML is required An understanding of underlying statistics, machine learning and data science, data engineering and big data concepts is required An understanding of the process and data complexities and prerequisites ...

required: AWS Bedrock/Sagemaker, Google Vertex AI, OpenAI and Azure ML is required An understanding of underlying statistics, machine learning and data science, data engineering and big data concepts is required An understanding of the process and data complexities and prerequisites ...

required: AWS Bedrock/Sagemaker, Google Vertex AI, OpenAI and Azure ML is required An understanding of underlying statistics, machine learning and data science, data engineering and big data concepts is required An understanding of the process and data complexities and prerequisites ...

required: AWS Bedrock/Sagemaker, Google Vertex AI, OpenAI and Azure ML is required An understanding of underlying statistics, machine learning and data science, data engineering and big data concepts is required An understanding of the process and data complexities and prerequisites ...

required: AWS Bedrock/Sagemaker, Google Vertex AI, OpenAI and Azure ML is required An understanding of underlying statistics, machine learning and data science, data engineering and big data concepts is required An understanding of the process and data complexities and prerequisites ...

required: AWS Bedrock/Sagemaker, Google Vertex AI, OpenAI and Azure ML is required An understanding of underlying statistics, machine learning and data science, data engineering and big data concepts is required An understanding of the process and data complexities and prerequisites ...

Technology Product Owner, AI Data Analytics, Microsoft Stack, Azure, Data Engineering, ML, Azure, Mainly Remote Technology Product Owner required to join a global Professional Services business based in Central London. However, this is practically a remote role, but when travel is required (to London … more details... Experience required: Development FIRST mentality. You must have been a Developer before moving into Product Ownership Technical proficiency: Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance. Experience with implementing and optimising scalable cloud infrastructure ...