I am looking for a Machine Learning (ML) and Data Engineer to join my clients growing Data & AI team and contribute to Artificial Intelligence technology solutions for their public sector and enterprise clients. This role is offering a generous salary of up to £70K!

As a ML and Data Engineer, you will collaborate with a team of data scientists, data architects, software engineers, business analysts and delivery managers to deliver innovative solutions that leverage the power of cloud-based AI. This is an exciting opportunity for a driven individual to join a team of passionate and talented professionals. Successful candidates will work on challenging and rewarding projects that have a real impact on various industries and domains - so you really will be leading the industry!

You will be:

• Creating and customising machine learning models using Azure AI services for various use cases.
• Integrating Azure AI services with other Azure products and services, such as Azure Machine Learning, Azure Databricks, Azure App Service, and Azure Cognitive Search.
• Enabling data capture, ingestion, processing, and storage to serve AI and analytics using Azure technologies
• Optimising the performance, scalability, and reliability of machine learning solutions using Azure best practices and tools.
• Monitoring and troubleshooting machine learning solutions using Azure AI Metrics Advisor, Azure Application Insights, and Azure Monitor.
• Communicating and collaborating with stakeholders and clients to understand their business needs and providing data-driven insights and recommendations.

My client is looking for the BEST talent and therefore, they can be flexible with remote working, but you will need the following skill set:

• 3+ years of experience in machine learning, data science, or software development.
• Proficient in Python, R, or other programming languages for data analysis and machine learning.
• Familiar with machine learning frameworks and libraries, such as TensorFlow, PyTorch, Scikit-learn, etc
• Experience with Microsoft Azure AI services.
• Experience with Azure data and analytics services, such as Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, Azure SQL Database, etc
• Experience with Azure DevOps, GitHub, or other tools for version control, testing and deployment.

This is an excellent opportunity for an experienced Machine Learning & Data Engineer to further their career and add value to my clients talented team. So, if you are looking for your next step, or just want to find out more, get in touch!