4 of 4 Contract Data Scientist Jobs in the UK excluding London

Data Scientist - Contract - 6 Months Rate : £500 per day IR35 : Inside Duration : 6 Months (extendable) Location : Remote/Occasional travel to Southwest England The role: A large organisation is seeking a Data Scientist to support the delivery of AI and machine learning solutions across an evolving … enterprise data environment.This is a hands-on role working across the full ML lifecycle, from prototype through to production, focused on delivering scalable, value-driven outcomes. Experience requirements & Responsibilities: Develop and deploy machine learning models to solve business problems. Translate prototypes into production-ready solutions. Build and maintain data ...

Data Scientist/Machine Learning Scientist - Outside IR35 Location: London (Hybrid) Length: 6 months Ready to build and deploy real AI systems at scale? Join a growing AI teams, where you'll shape how AI transforms global business. We're hiring hands-on operators who deliver production ...

Data Scientist - Operational & Optimisation-Focused AI £700+ per day | Inside IR35 | Long-term programme (2-3 years) I'm currently looking for Data Scientists to join a highly capable, collaborative team working on real operational problems at serious scale within a well-established, commercially driven organisation.This … this role, you won't be siloed away from the business. You'll be embedded alongside engineers and operational stakeholders, working on problems where data science is central to how decisions are made, not just how performance is reported.You will: Design and build optimisation, predictive, and prescriptive models that ...

What you’ll do: Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player … experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low-latency, highly reliable cloud-based AI systems for live sports scenarios, ensuring ...