5 of 5 Permanent Data Pipeline Jobs in Nottingham

m looking for a Senior Back End Developer for an electrical vehicle charger company (founded 1990) based in Nottingham. You will create an ambitious Cloud platform that sends data pipelines to customers. Location: Nottingham, ~5 days on-site to start with then 1-2 days on-site per week. 2:30pm finish on Fridays. The requirements include: Golang 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 ❯

sure your CV is up to date, then read the following job specs carefully before applying. 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. 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 ❯