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Senior Software Engineer C# - FLEXIBLE WORKING

Kevin Edward
London
11 months ago
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JOB TITLE: .NET and Python Developer EMPLOYMENT TYPE: Contract / Long Term Project LOCATION: Flexible (Hybrid – 2 days a week onsite/ Berkshire) SALARY: Competitive rates dependent on experience/ skills Job Description: We are seeking a highly skilled .NET and Python Developer with expertise in data-driven solutions and Azure cloud platforms. The ideal candidate will have a strong understanding of machine learning principles and a proven track record of building scalable, efficient applications that leverage cloud and data services. Key Responsibilities: · Develop and maintain robust applications using .NET and Python. · Design and implement data pipelines and analytics workflows on Azure services such as Azure Data Factory, Azure SQL, Azure Synapse Analytics, and Azure Databricks. · Collaborate with data scientists and ML engineers to integrate machine learning models into production systems. · Optimize application and data performance to meet scalability and reliability requirements. · Ensure best practices in code quality, testing, and DevOps in an Azure environment. · Work closely with stakeholders to understand business needs and translate them into technical solutions. · Provide guidance and mentoring on Azure services and machine learning integrations. Required Skills and Experience: · Proficiency in .NET (C#) and Python for software development. · Strong experience with Azure cloud services, including Azure App Services, Functions, Key Vault, and Storage. · Solid understanding of data engineering concepts and tools, including ETL pipelines and data modeling. · Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, or Scikit-learn). · Experience with deploying ML models in a cloud environment. · Knowledge of database technologies like SQL Server and NoSQL databases. · Hands-on experience with CI/CD pipelines using Azure DevOps or similar tools. · Strong problem-solving skills with a focus on performance and scalability. Preferred Qualifications: · Certification in Azure Data Engineer or Azure AI Engineer. · Knowledge of MLOps practices and tools. · Experience with RESTful API development and integration. · Background in big data technologies (e.g., Spark, Hadoop). Why Join Us?· Work on cutting-edge technologies and projects. · Collaborate with a team of passionate professionals in a dynamic and innovative environment. · Opportunities for professional growth and certifications in Azure and ML.

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