We’re looking for an ML Lead Engineer to take technical ownership, guide a multi‑disciplinary team, and ship production ML solutions that deliver clear business value. You’ll balance hands‑on engineering with strategic oversight, ensuring models are designed, deployed, and maintained to the highest standards. Key responsibilities Own the architecture of end‑to‑end AI systems, from data ingestion and feature pipelines to training, evaluation, and real‑time inference. Lead and mentor data scientists, ML engineers, and software developers, fostering a pragmatic, high‑performance engineering culture. Design and implement scalable MLOps pipelines (CI/CD, automated tests, model versioning, drift detection, retraining) with MLflow/Airflow, Docker, and cloud. Collaborate with product, data, and infrastructure teams to translate business problems into deployable AI solutions and prioritise the backlog. Champion best practices in code quality, documentation, security, and data governance, ensuring full auditability and compliance. Drive continuous optimisation of cost, latency, and model performance in production. Stay current with emerging research and tooling, assessing their fit for our roadmap. What We’re Looking For 5+ years in machine learning engineering, with 2+ years in a senior or lead role. Proven delivery of production ML systems in Python (PyTorch or TensorFlow); strong grasp of data structures, algorithms, and performance tuning. Deep knowledge of cloud-native AI tooling (e.g., SageMaker, Vertex AI). Demonstrated experience building agent‑based LLM workflows—multi‑step reasoning, retrieval‑augmented, and multi‑agent solutions. Familiarity with monitoring, alerting, and observability for models and data pipelines. Excellent communication skills and the ability to influence technical direction across teams. Knowledge of privacy‑preserving ML or responsible‑AI frameworks will be a plus. Contributions to open‑source AI projects or peer‑reviewed publications will be a plus. Ongoing quarterly training and development to help you grow. Attractive performance bonuses. Comprehensive family medical insurance. Access counselling services to support your well‑being. #J-18808-Ljbffr