Machine Learning Engineer

AI & ML Senior Engineer (Contract) 📍 London (2 days onsite) ⏳ 6 months | 💷 £500-£600/day (Inside IR35) Our client, a top global organization, is seeking an AI & ML Senior Engineer to join a modern ML Engineering team working on production-scale machine learning systems that support high-impact digital and retail platforms. Responsibilities • Build and maintain end-to-end ML pipelines for training, validation, deployment, and monitoring • Productionise ML models and workflows using cloud-native infrastructure • Develop scalable ML services using tools such as FastAPI, Airflow, and Azure ML • Automate ML deployment using CI/CD pipelines • Improve platform reliability, observability, and performance • Implement monitoring, alerting, and model drift detection • Manage and evolve infrastructure using Terraform, Docker, and cloud services Essential Skills & Experience • Proven experience in ML Engineering, DevOps, or Data Engineering with ML exposure • Strong Python skills and hands-on ML tooling experience (e.g. MLflow, Scikit-learn, PyTorch) • Experience building or operating ML pipelines / workflows • Cloud experience (Azure and/or AWS) • Containerisation experience (Docker, orchestration exposure preferred) • CI/CD experience (GitHub Actions, Azure DevOps) • Infrastructure-as-code experience (Terraform) • Strong collaboration and communication skills Desirable • Experience with Snowflake, Azure Data Lake, Delta Lake • Deploying ML models as APIs (FastAPI, serverless) • Observability and ML monitoring best practices • Workflow orchestration tools (Airflow, ADF) If this is relevant to your experience, please apply with your CV and we’ll be in touch.