7 of 7 Remote Data Pipeline Jobs in Nottinghamshire

Data Scientist – Applied AI for Real-World Impact Location: Nottingham (Hybrid, 2 days per week) The Opportunity Join a fast-growing AI company born from world-class academic research and now powering decision-making for major brands like Boots. You’ll work at the intersection of science and impact, turning large, complex behavioural datasets into production-ready AI … operate. What You’ll Do Analyse and model large-scale behavioural and temporal datasets Build, validate, and deploy ML models for forecasting, classification, and behavioural prediction Develop scalable data pipelines and collaborate with engineering and product teams to operationalise models Communicate insights clearly to both technical and non-technical audiences What You Bring Strong academic background (STEM or … data/AI-related field) 2+ years’ experience in applied data science or ML Skilled in Python (pandas, scikit-learn; PyTorch/TensorFlow a plus) and SQL Hands-on experience with real-world, messy datasets Curious, analytical, and motivated by practical impact Why Join Work with a modern AI/ML stack (Python, SQL, Databricks, cloud More ❯

Data Scientist Applied AI for Real-World Impact Location: Nottingham (Hybrid, 2 days per week) Join a fast-growing AI company born from world-class academic research and now powering decision-making for major brands like Boots. Youll work at the intersection of science and impact, turning large, complex behavioural datasets into production-ready AI models that drive … product direction, and see your models make a measurable difference in how organisations operate. Build, validate, and deploy ML models for forecasting, classification, and behavioural prediction Develop scalable data pipelines and collaborate with engineering and product teams to operationalise models Strong academic background (STEM or data/AI-related field) 2+ years experience in applied data … first) Hybrid working (2 days/week in Nottingham HQ) 30 days holiday + flexible working + strong culture of curiosity and experimentation This is a hands-on data science role where cutting-edge research meets real-world applicationideal for someone who wants to build AI that genuinely improves how people live and work. More ❯

Data Scientist | AI & Advanced Analytics | Nottingham (Hybrid) The Company An early-stage AI and analytics company building intelligent, explainable machine learning systems that help businesses in retail, healthcare, and mobility unlock the true value of their data. What will I be doing? You'll be developing modular ML solutions that power real-world applications - from predictive analytics and … high ownership and technical depth across the full development lifecycle. What we're looking for Strong Python programming skills and OOP fundamentals Experience with SQL and working with data pipelines Practical machine learning knowledge and a passion for applying AI responsibly A collaborative, curious mindset that thrives in ambiguity and values transparency in how models work What's More ❯

healthcare, mobility, and retail, turning cutting-edge machine learning into production-ready solutions that impact millions. You’ll work end-to-end on model development and deployment, from data pipelines and experimentation to production and monitoring, shaping how AI moves from research to real-world use. What You’ll Do Design, implement, and optimise ML models for large … scale behavioural and temporal data Build and maintain robust, cloud-based data and model pipelines Deploy, monitor, and iterate on production ML systems (forecasting, classification, behavioural modelling) Collaborate with data scientists, engineers, and product teams to deliver scalable, explainable AI solutions Contribute to MLOps best practices, experimentation frameworks, and model governance What You Bring … Degree in Computer Science, Engineering, or related technical field 2+ years’ experience in applied ML, data engineering, or AI systems development Strong skills in Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL Experience with cloud platforms and modern ML infrastructure (e.g. Databricks, MLflow, Docker, CI/CD) A practical mindset, curious, experimental, and focused on real-world More ❯

healthcare, mobility, and retail, turning cutting-edge machine learning into production-ready solutions that impact millions. You’ll work end-to-end on model development and deployment, from data pipelines and experimentation to production and monitoring, shaping how AI moves from research to real-world use. What You’ll Do Design, implement, and optimise ML models for large … scale behavioural and temporal data Build and maintain robust, cloud-based data and model pipelines Deploy, monitor, and iterate on production ML systems (forecasting, classification, behavioural modelling) Collaborate with data scientists, engineers, and product teams to deliver scalable, explainable AI solutions Contribute to MLOps best practices, experimentation frameworks, and model governance What You Bring … Degree in Computer Science, Engineering, or related technical field 2+ years’ experience in applied ML, data engineering, or AI systems development Strong skills in Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL Experience with cloud platforms and modern ML infrastructure (e.g. Databricks, MLflow, Docker, CI/CD) A practical mindset, curious, experimental, and focused on real-world More ❯

across healthcare, mobility, and retail, turning cutting-edge machine learning into production-ready solutions that impact millions. Youll work end-to-end on model development and deployment, from data pipelines and experimentation to production and monitoring, shaping how AI moves from research to real-world use. Design, implement, and optimise ML models for large-scale behavioural and temporal … data Build and maintain robust, cloud-based data and model pipelines Deploy, monitor, and iterate on production ML systems (forecasting, classification, behavioural modelling) Collaborate with data scientists, engineers, and product teams to deliver scalable, explainable AI solutions Degree in Computer Science, Engineering, or related technical field 2+ years experience in applied ML, data More ❯

Engineering Manager to lead and inspire a team of talented software engineers. In this pivotal role, you will be responsible for guiding the development and delivery of robust data pipelines and critical system integrations. You will play a key part in shaping our technical strategy, ensuring the high quality and efficient delivery of software solutions, particularly within a … audiences. The Person: Proven experience in an Engineering Manager or a senior technical leadership role, leading software development teams. Strong expertise in ETL (Extract, Transform, Load) processes and data integration patterns. Demonstrable experience with designing, building, and maintaining robust integrations between disparate systems. Solid understanding of the software development lifecycle (SDLC) and delivery methodologies (Agile, Scrum). Deep … technical proficiency in C#.NET development, including relevant frameworks and technologies. Experience with relational databases (e.g., SQL Server, PostgreSQL) and data warehousing concepts. Excellent communication, interpersonal, and leadership skills. Ability to inspire, motivate, and develop engineering talent. Desired Skills: A strong background in software testing, including experience with various testing methodologies (unit, integration, system, performance) and automation frameworks. Experience More ❯