6 of 6 Permanent Data Pipeline Jobs in Cambridge

Title: Data Engineer Location: Cambridge (Hybrid - 2-3 days per week in office) Industry: SaaS/Technology Salary: £55,000 - £65,000 DOE The Opportunity I'm working with a fast-growing SaaS company in Cambridge that is looking to hire a Data Engineer to join … their expanding data and analytics team. This role is ideal for someone who enjoys building scalable data pipelines, designing ETL processes, and ensuring high-quality, reliable data for analytics and reporting . You'll work with product, engineering, and analytics teams to deliver data ...

through to clinical development. They are looking for an Informatics Specialist (2-year FTC) to play a key role in shaping how scientific data is captured, structured, and shared across research teams. This backend-focused role will centre on database systems, APIs, and data pipelines, with … particular emphasis on integrating Electronic Lab Notebook (ELN) platforms—building solutions to extract, transform, and transfer data between systems to support collaboration and downstream research. In this role, you’ll collaborate closely with scientists and technical teams to design and deliver scalable data solutions, helping ...

, microbiome sequencing, clinical and real-world outcomes. Our goal is to translate biological signals into actionable compound discovery and optimisation, powering a pipeline across: Discovery → Prediction → Design → Validation We are looking for a Senior Computational Biologist with ML Engineering background to help build, bridge, and functionalise … intelligent ingredient complexes o repurposed peptides o newly discovered natural peptides 4) Productionise the AI product launch ● Build end-to-end ML pipeline covering ingestion, training, evaluation and deployment ● Develop APIs/services to serve predictions and ranked candidates into internal tools and client outputs ● Create evaluation harnesses ...

maintain momentum across several active research initiatives. You will take ownership of day‐to‐day technical work spanning research platform development, model evaluation, data management, and research operations. The role plays an important part in supporting human studies, community deployments, and evaluation workflows—ensuring that community input … while maintaining good engineering practices. Key Responsibilities: Develop and maintain a research platform supporting human‐in‐the‐loop evaluation, feedback tasks, and synthetic data workflows, including new experimental API and UI features (e.g. using FastAPI and React). Extend model evaluation pipelines, including quantitative metrics, qualitative review workflows ...

into a production service that enterprise customers can rely on. That means three things: building a robust, secure backend that handles sensitive enterprise data with confidence; creating interfaces that make complex AI-generated outputs legible and trustworthy to non-technical users; and working alongside … interrogate AI-generated outputs Build deployment pipelines, testing frameworks, monitoring, and observability to keep the platform reliable as we onboard customers Design secure data pipelines that handle sensitive data with appropriate access controls and audit trails Ensure the platform meets enterprise security and compliance expectations ...

highly applied role where you'll move quickly from concept to production, building systems that automate complex knowledge work such as literature review, data extraction, and target identification, while working closely with ML researchers, engineers, and scientists in a fast-paced, collaborative environment. You'll be responsible … development, testing, and deployment processes. You'll work across Python, LLMs, LangGraph, Pydantic AI, Crew AI, APIs, cloud platforms (GCP preferred), microservices, and data pipelines, contributing to scalable, high-performance AI solutions. We're looking for strong engineers with experience building production-grade systems in Python, integrating ...