Finance | 02-12-2025

Machine Learning Engineer

Essential Skills

• Solid programming experience in Python
• Solid understanding of programming concepts, algorithms and cloud concepts
• Previous experience in solution design and knowledge of architecture frameworks and patterns
• Developing serverless pipelines in Azure, AWS or GCP (Azure preferred).
• Building data transformation pipelines using SQL and No SQL DB
• Building and maintaining CI/CD pipeline in Jenkins, Azure Devops or Github actions and ML Ops pipeline in Azure ML, Azure AI Foundry, SageMaker or Vertex AI. IaC – Bicep, ARM, Terraform
• Test driven development
• Having good understanding of different machine learning techniques and ability to explain the methods in detail (regression, clustering, decision trees, reinforcement learning, gradient boosting, CNN, RNN, LSTM, Attention Models, Encoder and Decoder, Transformers, Vector semantics)
• Previous experience in developing Gen AI applications.
• Ability to communicate technical concepts and analytical outputs to a diverse set of stakeholders.
• Working in an agile development environment
• Being able to provide estimates against organisational requirements relating to cost and development tasks
• Working in an agile development environment with the ability to communicate technical concepts and analytical outputs to a diverse set of stakeholders.
• Being able to provide estimates for business requirements and break it down to tasks.

Tech Stack

• Azure Data Factory, Logic Apps
• SQL, Cosmos DB
• Azure Batch, Azure Functions
• Azure Dev Ops – CI/CD, Bicep templates
• Azure AI services – Azure AI Foundry, Azure ML, Azure Open AI, Azure Doc Intelligence, Azure Speech to Text
• Copilot Studio, D365, M365 Copilot
• Python, C#

Our client operates hybrid working (minimum of 4 days every 2 weeks), and have offices in central London or Manchester.