Sr. Machine Learning Engineer

Remote: yes Posted: 2026-10-07

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We are seeking a Senior ML Engineer with strong experience in Applied AI, Machine Learning and MLOps to build and modernise an AI platform. The role combines Applied AI, MLOps and backend/platform engineering, with a strong focus on productionising, deploying, evaluating and operating ML/AI systems. You will build new ML capabilities, modernise existing NLP and generative AI systems, and create reliable, observable infrastructure that makes models easier to integrate, evaluate, monitor and deploy.

Refactor, modernise and productionise existing ML models and Applied AI capabilities, including NLP and generative AI solutions.

Build new ML components and re-engineer existing models into standardised, production-ready modular components.

Develop production ML applications and supporting services primarily using Python.

Build and maintain reliable ML pipelines covering model integration, evaluation, deployment and operation.

Engineer resilient ML workflows with appropriate retry logic, error handling and repeatable execution.

Design and automate model evaluation pipelines using golden datasets and appropriate quality and performance thresholds.

Evaluate different types of models using metrics appropriate to their outputs, including generative AI, classification and other ML use cases.

Implement appropriate guardrails and evaluation mechanisms to assess grounding, hallucinations and quality of generative AI outputs.

Apply Applied AI techniques, including RAG, where appropriate to the ML capabilities being developed.