We are seeking a Senior ML consultant who has experience with real-time data platforms. This will be a fully remote contract and outside IR35. Requirements • Experience deploying machine learning models and processes in production settings. This • involves repurposing data science code to interoperate with distributed systems. • Experience understanding trade-offs regarding changes to complex systems, and being able to select the most appropriate action whilst understanding improvements. • Experience writing type-hinted/MYPY-compliant Python in a production setting. • Bonus if experience using data validation libraries such as Pydantic and Marshmallow. • Bonus if experience writing asynchronous Python code, with the ability to differentiate between blocking and non-blocking routines. • Familiarity with the modern data stack, and how to use this stack in a real-time context. • Ability to write SQL for both OLTP and OLAP use cases and differentiate between OLTP and OLAP data models. • Experience with machine learning orchestration/operations (MLflow, Sagemaker, W&B or similar). Knowledge of model versioning, deployment and metadata tracking frameworks. • Experience supporting production systems. Ability when necessary to troubleshoot issues and • implement steps to enable service continuity. • Experience working with product managers to translate business requirements into technical • specifications. • Experience working with data scientists in productionizing their pipelines and working with them to ensure pipelines cover necessary edge cases for production code Tech Stack • Python 3.9+. • Kubernetes, docker and docker-compose for test orchestration. • GitLab CI. • AWS. • Sklearn, Pandas, Numpy, Scipy and Python statistical packages • Trimesh, OpenCV for vision and geometric computing • Torch/PyTorch for accelerated/GPU computing