Machine Learning Engineer

A leading organisation is expanding its AI capability and is looking for a Machine Learning Engineer to help build and scale next-generation NLP and Gen AI solutions. This role sits at the heart of an established data function, working on real production workloads rather than prototypes.

You'll play a key role in shaping how intelligent automation, LLMs and ML-driven services are designed, deployed and continuously improved.

What you'll be working on

• Designing and delivering Gen AI and LLM-driven applications
• Building and maintaining machine learning pipelines and data workflows
• Developing cloud-native (serverless) ML components within a distributed engineering team
• Improving existing ML systems and identifying opportunities for optimisation
• Supporting sprint planning, estimation and shaping a healthy product backlog

• Strong hands-on Python skills and solid grounding in algorithms and software engineering
• Experience designing ML/AI solutions and working with common architecture patterns
• Background in serverless data/ML pipelines (Azure preferred, AWS/GCP welcome)
• Proficiency in SQL and NoSQL data stores
• Broad understanding of machine learning methods (regression, tree-based models, clustering, deep learning, attention models, transformers, vector representations)
• Ability to explain technical concepts clearly to a range of stakeholders
• Confidence estimating development effort and costs

Nice to have

• CI/CD experience (Azure DevOps, GitHub Actions, Jenkins)
• Exposure to ML Ops tooling (Azure ML, AI Foundry, SageMaker or Vertex AI)
• Infrastructure-as-Code (Bicep, ARM, Terraform)
• Previous work building Gen AI-powered products or automation

Tech environment you'll be joining Python, C# Azure Data Factory, Logic Apps SQL, Cosmos DB Azure Functions, Azure Batch Azure DevOps (CI/CD, Bicep) Azure AI services including Azure ML, Azure OpenAI, Speech-to-Text and document intelligence Copilot Studio, D365, M365 Copilot