26 to 28 of 28 Data Science Jobs in Nottinghamshire

Engineering Analyst, Data Analyst, Data Scientist, Mechanical engineering, Structural Condition Monitoring, Python, SCADA, Git - East Midlands, Hybrid working - up to 50K About the opportunity Are you an engineer with a passion for data-driven problem solving and structural analysis? I'm working with an innovative company at the forefront of condition monitoring technology. They're looking for More ❯

help design, build, and scale intelligent systems that make a genuine difference across healthcare, mobility, and retail. You’ll work across the full machine learning lifecycle, from experimentation and data pipelines through to deployment and monitoring. This role is ideal for someone who wants to take cutting-edge ML research and turn it into production systems that reach millions … of users. Key Responsibilities: Design, build, and optimise ML models for large-scale behavioural and temporal datasets Develop and maintain scalable, cloud-based data and model pipelines Deploy, monitor, and improve production ML systems (forecasting, classification, behavioural modelling) Collaborate with data scientists, software engineers, and product teams to deliver scalable, explainable AI solutions Contribute to MLOps best practices … experimentation frameworks, and model governance What They’re Looking For: Strong academic background in Computer Science, Machine Learning, or a related field (Master’s or PhD preferred) Proven experience developing and deploying ML models in real-world applications Solid coding and data skills (Python, SQL, Databricks, cloud platforms) Deep understanding of the full ML lifecycle and productionisation of More ❯

help design, build, and scale intelligent systems that make a genuine difference across healthcare, mobility, and retail. You’ll work across the full machine learning lifecycle, from experimentation and data pipelines through to deployment and monitoring. This role is ideal for someone who wants to take cutting-edge ML research and turn it into production systems that reach millions … of users. Key Responsibilities: Design, build, and optimise ML models for large-scale behavioural and temporal datasets Develop and maintain scalable, cloud-based data and model pipelines Deploy, monitor, and improve production ML systems (forecasting, classification, behavioural modelling) Collaborate with data scientists, software engineers, and product teams to deliver scalable, explainable AI solutions Contribute to MLOps best practices … experimentation frameworks, and model governance What They’re Looking For: Strong academic background in Computer Science, Machine Learning, or a related field (Master’s or PhD preferred) Proven experience developing and deploying ML models in real-world applications Solid coding and data skills (Python, SQL, Databricks, cloud platforms) Deep understanding of the full ML lifecycle and productionisation of More ❯