About this role
Salary: £35,000 - 75,000 per year
Requirements: Strong hands-on Python and machine learning experienceProven track record delivering ML solutions into productionExperience with AutoML frameworksStrong understanding of regression, forecasting, and predictive analyticsData engineering and pipeline development capabilityAWS ML deployment experience, including SageMaker, ECS, or LambdaPractical MLOps experienceExcellent stakeholder management and consulting skillsExperience mentoring data science teamsAWS-native ML tooling and cloud architecture experienceExperience delivering data-driven commercial or optimisation solutions Responsibilities: Design and develop predictive models to support commercial decision-makingUse AutoML tools such as AutoGluon, H2O AutoML, or PyCaret to accelerate model developmentAssess, prepare, and engineer data for modellingDeploy and operationalise machine learning solutions within AWSImplement MLOps practices including monitoring, retraining, and model governanceProvide technical leadership and knowledge transfer to our internal teamsManage stakeholder communication by providing clear recommendations and updatesLead delivery of an existing machine learning programme through to a production-grade AWS deployment Technologies: AWSLambdaCloudSupportMachine LearningMLOpsPython More:
We are seeking a hands-on Principal Data Scientist / ML Consultant for a 6-month full-time contract on a hybrid UK-based working model, with client site attendance as required and an ASAP start. We are looking for someone who can lead the delivery of an existing machine learning programme through to production-grade AWS deployment, while providing technical leadership, mentoring our internal teams, and actively building, deploying, and operationalising machine learning solutions.
last updated 33 week of 2026