Azure Data Engineer (AI / ML)

Staffworx; Greater London; On-site; GBP 50,000 - 90,000; Full time

Job summary

An innovative consulting organization is on the lookout for an Azure Data Engineer with expertise in AI and Machine Learning. This role involves creating robust data pipelines and building data solutions using cutting-edge Azure services. You will leverage your knowledge of Machine Learning and Natural Language Processing to implement advanced platforms for enterprise clients. Join a forward-thinking team that values creativity and technical excellence, and contribute to transformative projects in the fintech sector. If you have a passion for data engineering and AI, this opportunity is perfect for you.

Qualifications

• Experience in creating data pipelines from generation to serving.
• Strong Azure services experience for data solutions.

Responsibilities

• Build data solutions using Azure services for a fintech client.
• Implement ML platforms and frameworks for enterprise clients.

Skills

Data Engineering Lifecycle

Azure Data Lake Storage Gen2

Azure Databricks

Azure Data Factory

Machine Learning

Natural Language Processing

DataRobot

Dataiku

TensorFlow

PyTorch

Education

Azure Data Engineer / Architect certification

Tools

DataRobot

Dataiku

Anaconda

Sagemaker

Vertex

MLFlow

KubeFlow

BentoML

Jupyter Notebooks

XGBoost

Job description

Job Description

Staffworx is planning for future talent pool projects. We are seeking an Azure Data Engineer with AI / Machine Learning experience for a leading specialist consulting organization and Digital FS Fintech client. The key responsibilities for the Azure Data Engineer include:

1. Demonstrated experience in the Data Engineering Lifecycle, including creating data pipelines that handle data from generation, ingestion, transformation, to serving.
2. Strong experience in building data solutions using Azure services such as Azure Data Lake Storage Gen2, Azure Databricks, Azure Data Factory, Azure Synapse, and Data Fabric. Azure Data Engineer / Architect certification is preferred.
3. Knowledge of Machine Learning and NLP applied to unstructured data.
4. Experience in implementing ML platforms within enterprise clients.
5. Familiarity with ML use-cases.
6. Experience with AIML Platforms such as DataRobot, Dataiku, Anaconda, Sagemaker, Vertex, etc.
7. Experience with AIML Frameworks like MLFlow, KubeFlow, BentoML, TensorFlow, etc.
8. Proficiency in AIML Development tools such as PyTorch, Jupyter Notebooks, XGBoost, TensorFlow, etc.
9. Knowledge of AIML Models including Linear/Logistic Regression, KNN, Decision Trees, Anomaly Detection, LLMs, Generative Models (PALM, GPT3/4), Entity Extraction, etc.

This is an inside IR35 contract, with rates to reflect.