Azure Data Engineer (AI / ML)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer (AI/ML) on a contract basis, requiring expertise in Azure Data Services and machine learning. Key skills include data pipeline creation, Azure certifications, and experience with AIML platforms. Contract length and pay rate are to be discussed.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
April 25, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Unknown
📄 - Contract type
Inside IR35
🔒 - Security clearance
Unknown
📍 - Location detailed
Greater London, England, United Kingdom
🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #ADF (Azure Data Factory) #Azure ADLS (Azure Data Lake Storage) #TensorFlow #Azure Data Factory #Databricks #Storage #Jupyter #Azure #Consulting #MLflow #NLP (Natural Language Processing) #Dataiku #Synapse #Generative Models #Azure Databricks #Consul #Logistic Regression #Data Lake #Data Pipeline #SageMaker #PyTorch #Regression #ML (Machine Learning) #AI (Artificial Intelligence) #Conda #Anomaly Detection #Data Engineering #ADLS (Azure Data Lake Storage)
Role description

Staffworx are planning for future talent pool projects. Azure Data Engineer with AI / Machine Learning experience for a leading specialist consulting ogranisaiton and Digital FS Fintech client. Key Responsibilities for the Azure Data Engineer.

   • Excellent experience in the Data Engineering Lifecycle, you will have created data pipelines which take data through all layers from generation, ingestion, transformation and serving.

   • Strong experience in building data solutions using Azure, Azure Data Lake Storage Gen2, Azure Databricks, Azure Data Factory, Azure Synapse, Data Fabric. Azure certified Data Engineer / Architect

   • Knowledge of Machine Learning and NLP unstructured data.

   • Implemented ML platform in enterprise client

   • experience of ML use-cases

   • AIML Platforms: DataRobot, Dataiku, Anaconda, Sagemaker, Vertex etc.

   • AIML Frameworks: MLFlow, KubeFlow, BentoML, TensorFlow etc.

   • AIML Development: PyTorch, Jupyter Notebooks, XGBoost, Tensorflow etc.

   • AIML Models: Linear/Logistic Regression, KNN, Decision Trees, Anomaly Detection, LLMs, Generative Models (PALM, GPT3/4), Entity Extraction etc.

Inside IR35 contract, rates to reflect