9 Azure Machine Learning Jobs in the South East

strategies. You will collaborate with cross-functional teams to identify business opportunities, design experiments, and develop predictive models. Your expertise in statistical analysis, machine learning, and data visualization within the Data Science ecosystem will be instrumental in extracting meaningful insights from diverse datasets. This role requires … Analyse business data and AI priorities, strategies and requirements and translate them into reusable architecture artefacts for the enterprise. Develop and deploy advanced machine learning models using Azure Machine Learning and open-source stack. Apply statistical analysis and hypothesis … a plus. Understanding of Knowledge Graphs and LLM's is advantageous. Solid understanding of statistical analysis, hypothesis testing, and experimental design. Expertise in machine learning algorithms and frameworks (e.g., TensorFlow, Keras, PyTorch). Strong problem-solving skills and the ability to translate business challenges into data more »

practices, covering Continuous Integration and Continuous Delivery (CI/CD), Test-Driven Development (TDD), SDLC , etc. Familiarity working within an agile team. Developing machine learning models ( Python or TensorFlow ) Familiarity with natural language processing or AI technologies ( e.g LLMs such as ChatGPT or BARD , Embeddings , Prompt … of software or products. Experience in some of the following areas. Experience working with Cloud Native design patterns, with a preference towards Microsoft Azure/Google Cloud. Hands-on Technical experience with at least some of our core technologies (Terraform, Ansible, Packer). Working with cloud cognitive … Integrations, Release Management, Regression Testing, Integrations, Data Obfuscation, etc. Knowledge of Azure Data Factory/GCP Cloud Data Fusion , Microsoft Azure Machine Learning or GCP Cloud ML Engine , Azure Data Lake , Azure Databricks or more »

Identify opportunities for innovation through analytics, influencing business stakeholders, and shaping them into viable candidates aligned with strategic objectives. Develop and deploy advanced machine learning models using cloud-based platforms. Apply statistical analysis and hypothesis testing to validate model performance and ensure robustness. Coach, guide, and … projects. Proficiency in programming languages such as Python or R, and extensive experience with ML algorithms and models. Experience with cloud services like Azure ML studio, Azure functions, Azure Pipelines … Mlflow, Azure Synapse Analytics, etc., is a plus. Solid understanding of statistical analysis, hypothesis testing, and experimental design. Expertise in machine learning algorithms and frameworks. Strong problem-solving skills and the ability to translate business challenges into data science solutions. Excellent communication and more »

products, preferably in the Insurance sector. As a Lead Data Scientist, you will lead advanced analytics and ML projects, leveraging the power of Azure tools and services, mentor junior team members, and drive innovation through cutting-edge data solutions. Required skills & Experience: Bachelor or Master's degree … as Python or R, and extensive experience with ML algorithms and Models. (Regression, Tree based, Unsupervised, NLP, open-source models). with other Azure cloud services like Azure ML studio, Azure functions, Azure Pipelines, Mlflow, Promptflow, Azure OpenAI, Azure Synapse Analytics, etc., is a plus. of Knowledge Graphs and LLM’s is advantageous. in machine learning algorithms and frameworks (e.g., TensorFlow, Keras, PyTorch). with version control systems (e.g., Git) and CI/CD practices. ability to more »

services. Join the Ordnance Survey's Automatic Feature Extraction team as a Data Scientist and contribute to solving business and customer problems using machine-learning and data science techniques, particularly with Computer Vision. Be part of a multidisciplinary production delivery team and actively engage in the … engineering best practices in support of ML programming. ? Customer-focused with strong presentation skills. ? Understanding of descriptive, predictive and prescriptive analytics. ? Experience developing machine learning models. ? Ability to structure business problems for evaluation using data science techniques. ? Programming experience, preferably in Python, and familiarity with version … Patterns) ? Experience mentoring or advocating best practice to team members. Technologies We Use : Python (including Data Science libraries such as NumPy, Pandas, Matplotlib, PyTorch), AzureML, QGIS. Our wider team also uses Esri ArcPro and geoprocessing tools, FME, Bicep, Azure Batch, Azure Pipelines, YAML, SQL. more »

s Automatic Feature Extraction team as a Senior Infrastructure Engineer and contribute to solving business and customer problems using Microsoft's cloud offering Azure to orchestrate exciting new solutions. Be part of a multidisciplinary production delivery team and actively engage in the analytical community at OS. Who … skills in software engineering & industry best practice (including (TDD, CI, Clean Code, creating testable code, Design Patterns). Technologies We Use : YAML, Bicep, Azure Pipelines, Azure Data Factory, Function Apps, Azure Batch. Our wider team also … uses Python, Esri ArcPro and geoprocessing tools, FME, SQL and AzureML. While not required, the following skills would be a plus: Experience of using AzureML to orchestrate Machine Learning models. Experience of processing geospatial data. Remember, you don't need to tick every box to apply. more »

Experience of architecting data solutions across hybrid (cloud, on-premise) data platforms. Knowledge of data science platforms such as Azure Machine Learning, Amazon SageMaker, Databricks, DataRobot, Snowflake etc., to enable the use of data and tie in with roadmap aspirations. Strong knowledge of more »

programming with C#.NET. This should include experience with some of the following: WinForms, WPF and SQL Server. Further project experience with cloud computing (Azure), ML/AI integration, MVC web development, real-time data management software (OsiSoft PI Systems), or mapping software (ArcGis) would be beneficial. Applicants more »

programming with C#.NET. This should include experience with some of the following: WinForms, WPF and SQL Server. - Further project experience with cloud computing (Azure), ML/AI integration, MVC web development, real-time data management software (OsiSoft PI Systems), or mapping software (ArcGis) would be beneficial. Applicants more »