5 of 5 Permanent Data Pipeline Jobs in Oxford

Forward Deployed Data Engineer (Genomics / Bioinformatics)

Hiring Organisation
Cubiq Recruitment
Location
Oxford, England, United Kingdom
Location: Oxford/London – Hybrid I’m currently working with a highly ambitious organisation building large-scale data platforms to power the next generation of scientific discovery. They are looking for Data Engineers with a background in genomics or bioinformatics to work directly alongside scientists … researchers, turning complex biological data into reliable, scalable datasets that can power AI and machine learning models. This role sits at the intersection of data engineering, genomics, and applied research - ideal for engineers who enjoy collaborating closely with scientists and building systems that enable real-world ...

Senior Technical Lead (AI & Data Platform)

Hiring Organisation
Brightsmith
Location
Oxford, England, United Kingdom
Senior Technical Lead (AI & Data Platform) Oxford, UK (Hybrid) An early-stage, mission-driven technology company is hiring a Senior Technical Lead to help build a next-generation analytics platform used by major investors, regulators, and infrastructure operators. Intersting applications to the sustainability space, and investor landscape. This … hands-on technical role working directly with the founders to design and build a scalable platform that combines data engineering, AI modelling, and modern web applications . You will shape the architecture, engineering standards, and technical direction of the platform while helping turn complex analytical models into production ...

Python Software Engineer / Senior Software Engineer - Quantum

Hiring Organisation
ARCA Resourcing Ltd
Location
Oxford, Oxfordshire, England, United Kingdom
Employment Type
Full-Time
Salary
Salary negotiable
next-generation technologies. Key Responsibilities Design, develop, and maintain robust software for computing applications and experimental systems Build scientific computing tools, libraries, and data pipelines to support research and product development Collaborate closely with physicists and hardware engineers to translate theoretical concepts into practical software solutions Contribute … production-quality codebases, including testing, debugging, documentation, and code reviews Support the development of software tools for quantum algorithms, data analysis, system control, and error correction Work in a fast-paced, collaborative R&D environment contributing to the company’s rapidly evolving technology stack Essential Skills & Experience Degree ...

Machine Learning Engineer / MLOps Engineer

Hiring Organisation
ARCA Resourcing Ltd
Location
OX2, Oxford, Oxfordshire, United Kingdom
Employment Type
Permanent
performance, stability, and sensitivity of next-generation technologies. Working closely with experimental scientists and hardware engineers, you will translate complex physical system data into actionable improvements through intelligent data modelling and automation. Key Responsibilities Develop and implement custom machine learning models for signal processing, sensor fusion … system optimisation Design models for applications such as noise suppression, drift compensation, anomaly detection, and adaptive calibration Build and maintain robust data pipelines to process high-dimensional experimental and time-series datasets Train, validate, and optimise machine learning models using modern Python-based frameworks Integrate ML inference into ...

Data & Statistical Modelling Engineer

Hiring Organisation
Gerrell & Hard
Location
Oxford, Oxfordshire, South East, United Kingdom
Employment Type
Permanent
Data & Statistical Modelling Engineer Oxfordshire £Competitive + Good Benefits Our client is a fast-growing, venture-backed advanced manufacturing company, redefining how high-performance metal components are designed and produced. By combining machine learning, physics-based modelling, and metal 3D printing, the team is pushing the boundaries … scale next-generation manufacturing systems. The Role Laser Powder Bed Fusion machines generate vast streams of data. The successful candidate will turn that data into insight and predictive power. Responsibilities include: Building statistical and machine learning models to predict machine and component performance Identifying key drivers of variation ...