7 Permanent Azure Machine Learning Jobs in the South East

the foundational technologies that underpin our products and services. This role demands a good understanding of a specific tech stack, including Databricks, Snowflake, Azure, as well as ML/AI frameworks, Python, and C#. You will collaborate with cross-functional teams to ensure our cloud and AI … our various core engineering capabilities.Duties and responsibilitiesSupport and guide stakeholders and product teams with design and development of solutions leveraging Databricks, Snowflake and Azure for cloud computing services.Be at the forefront of introducing AI/ML technology and frameworks into our core technology capabilities.Develop and maintain high … core technologies for superior performance and user experience.Ensure system designs adhere to best practices, supporting the strategic direction of the company and leveraging Azure cloud services effectively.Troubleshoot and resolve complex issues related to the specific tech stack, providing expertise in Databricks, Snowflake, Azure, ML more »

Xcede are delighted to be working with a well-renowned insurance company based in Hertfordshire. The company have an excellent Data Science and Machine Learning unit supported by a group of Data Engineers who are responsible for Data Pipelines. As a bonus - Data Engineers are also … to help with ML model deployment and MLOps.ResponsibilitiesDesign and implement Data Pipelines for both structured and unstructured data.Support and improve ML infrastructure – particularly Azure ML.Data Engineering: Guarantee data access, Data quality, ETL, Data pipelines Platform administration: Help set up accesses, infrastructure, create new storage, enforce best practicesProduction … decisions, rather than just writing code)An ability to write production quality Python code.Strong SQL SkillsExperienced creating data pipelines in a cloud (preferably Azure) environmentTDD & CI/CD experienceContainerisation experience (Docker, Kubernetes, etc.)Good understanding of software best practises MongoDB (or NoSQL) experienceTerraform experiencePrevious experience in managing 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 »

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 … Python or R, and extensive experience with ML algorithms and Models. (Regression, Tree based, Unsupervised, NLP, open-source models). Experience with other Azure cloud services like Azure ML studio, Azure functions, Azure Pipelines, Mlflow … Promptflow, Azure OpenAI, Azure Synapse Analytics, etc., is a plus. Knowledge Graphs and LLM’s is advantageous. Machine learning algorithms and frameworks (e.g., TensorFlow, Keras, PyTorch). Version control systems (e.g., Git) and CI/CD practices. Ability to lead 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 »

will place you at the forefront, collaborating directly with decision-makers and an adept team of data specialists The Role: Applying statistical and machine learning expertise to solve real-world business problems. Experimenting with models and datasets to drive transformation. Developing tools to monitor model performance … and data accuracy. Communicating results to stakeholders. The Candidate: Strong statistical and machine learning skills. Proficiency in Python, Power BI, and SQL. Experience with Azure ML. Ability to mentor junior team members. MSc/PhD in Data Science or related field. Excellent communication more »