8 of 8 Data Pipeline Jobs in Wolverhampton

Principal Data Engineer Location: Flexible UK Salary: £95,000 plus bonus of up to 17 per cent and a yearly equity gift worth 10 per cent of base I am working with a scaling technology organisation operating across multiple brands within the property and legal technology space. … business continues to grow and mature its data capability, they are now looking to hire a Principal Data Engineer to define and lead the technical direction of their data platform. This is a senior, highly influential role sitting above multiple engineering teams. While there ...

continually refine the AI initiatives portfolio and roadmap for the group. Run a structured intake process for new ideas, assessing value, feasibility, data readiness, ethical risk, and compliance. Define clear success measures for every proof of concept (PoC) and MVP, including KPIs, leading indicators, and decision gates … weeks) using Agile methods (Scrum or Kanban) with regular demos and retrospectives. Build and lead cross-functional squads including Product Owner, Data Scientists, ML Engineers, Integration Engineers, Solution Architect, and domain experts from Admissions, Registry and Student Services. Design experiments, test hypotheses, and iterate quickly, ensuring human ...

model capabilities and protocols. Leadership & Collaboration - Collaborate on UI/UX integration, code reviews, architecture and roadmap decisions, and cross-functional work with data science, product, and commercial teams. Data Engineering - Design and maintain efficient data pipelines, ensuring smooth data flow between ...

Data Scientist | Fully Remote | Health and Wellbeing We're hiring an Data Scientist to help build and ship ML and LLM features in a regulated environment with sensitive data. You'll work with engineering to move models from idea to production. Tech Stack: Python, scikit-learn … Python for data science and ML Practical experience with LLM frameworks (e.g. LangChain) Familiar with Spark/Kafka and End-to-end pipeline experience Databricks, MLflow, Docker, Kubernetes Clear communication with technical and non-technical stakeholders If you are interested apply below or email me directly mmatysik ...

could get involved with: Developing and maintaining software and infrastructure for web applications. Integrating AI/ML components with frontend, backend, data, and compute infrastructure. Ensuring high-quality software delivery through automated testing, documentation, and adherence to best practices. Monitoring and improving key performance metrics for tools … services. Participating in code reviews, and contributing to continuous improvement of team standards and practices. Collaborating with data engineers and technical staff across teams to build end-to-end data pipelines. Supporting deployment workflows and contributing to the evolution of cloud architecture and infrastructure. Why Join ...

growth, scaling the platform, and building a high-performing engineering team. About the Role You will take full ownership of the platform architecture, data pipelines, integrations, and multi-tenant SaaS infrastructure. This is a highly visible, strategic role where you will work closely with the founder and early … customers, ensuring the platform is scalable, secure, reliable, and enterprise-ready. Key Responsibilities Own the full platform architecture, including ingestion, scoring, data stores, APIs, and dashboards. Lead AI/ML-powered enrichment and scoring systems. Build and scale microservices, event-driven pipelines, and automated intelligence workflows. Harden cloud ...

What You Might Be Doing As an Full-stack Engineer at GSK, you could get involved with: Developing front-end applications and interactive data visualizations. Integrating AI/ML components with backend systems and data pipelines. Building and maintaining cloud-based infrastructure for large-scale applications. … disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/immunology and oncology). Our success absolutely depends on our people. While ...

Conducting user research to identify risks, failure modes, and usability challenges in AI-powered systems. Integrating AI/ML components with frontend, backend, data pipelines, and compute infrastructure. Writing high-quality, maintainable code and participating in peer code reviews. Collaborating with data engineers and cross-functional … teams to build end-to-end ML pipelines. Delivering insights from generative AI datasets using ML and data analysis techniques. Supporting the deployment and monitoring of AI/ML models in production environments. Why Join Our Talent Pool? Be the first to hear about new AI/ ...