7 of 7 Remote/Hybrid Data Ingestion Jobs in Cambridgeshire

Title: Data Engineer Location: Hybrid/Manchester Rate: £400/day Inside Ir35 Duration: until 31/03/26 to begin with About Us: Brio Digital are currently supporting a public sector consultancy who are currently looking for a skilled Data Engineer with a lot of experience … with R, Shiny & Databricks. Role Overview: As a Databricks Engineer, you will design, develop, and manage data solutions on the Databricks platform, enabling high-performance data pipelines and analytics. This role will work closely with data scientists, analysts, and engineering teams to support data-driven decision ...

Title: Data Engineer Location: Hybrid/Manchester Rate: £400/day Inside Ir35 Duration: until 31/03/26 to begin with About Us: Brio Digital are currently supporting a public sector consultancy who are currently looking for a skilled Data Engineer with a lot of experience … with R, Shiny & Databricks. Role Overview: As a Databricks Engineer, you will design, develop, and manage data solutions on the Databricks platform, enabling high-performance data pipelines and analytics. This role will work closely with data scientists, analysts, and engineering teams to support data-driven decision ...

Position Overview We are seeking a highly skilled Machine Learning Engineer to design, build, deploy, and optimise machine learning models that power data-driven products and business solutions. This role bridges data science and software engineering, focusing on production-ready ML systems, scalability, and performance. The ideal candidate … strong experience in Python, ML frameworks, data pipelines, and cloud platforms, and is comfortable working in a fully remote, collaborative environment within the UK. Key Responsibilities 1. Machine Learning Model Development Design, develop, train, and evaluate machine learning models for prediction, classification, recommendation, or automation use cases. Apply supervised ...

Position Overview We are seeking a highly skilled Machine Learning Engineer to design, build, deploy, and optimise machine learning models that power data-driven products and business solutions. This role bridges data science and software engineering, focusing on production-ready ML systems, scalability, and performance. The ideal candidate … strong experience in Python, ML frameworks, data pipelines, and cloud platforms, and is comfortable working in a fully remote, collaborative environment within the UK. Key Responsibilities 1. Machine Learning Model Development Design, develop, train, and evaluate machine learning models for prediction, classification, recommendation, or automation use cases. Apply supervised ...

company's clinical platform. You'll work closely with clinicians, product managers, and software engineers to transform complex healthcare challenges into robust, data-driven solutions. This is a hands-on role with broad impact—touching everything from model training and deployment to safety evaluation and infrastructure. Key Responsibilities: Design … implement NLP and ML systems for clinical and conversational applications Build and maintain data pipelines, model training, fine-tuning, evaluation, and deployment workflows Collaborate cross-functionally to translate clinical requirements into scalable technical solutions Ensure safety, performance, and regulatory compliance of ML systems Contribute to technical strategy, architectural decisions ...

company's clinical platform. You'll work closely with clinicians, product managers, and software engineers to transform complex healthcare challenges into robust, data-driven solutions. This is a hands-on role with broad impact—touching everything from model training and deployment to safety evaluation and infrastructure. Key Responsibilities: Design … implement NLP and ML systems for clinical and conversational applications Build and maintain data pipelines, model training, fine-tuning, evaluation, and deployment workflows Collaborate cross-functionally to translate clinical requirements into scalable technical solutions Ensure safety, performance, and regulatory compliance of ML systems Contribute to technical strategy, architectural decisions ...

company’s discovery platform. Translate research prototypes into well-structured, maintainable code suitable for production-level workflows. Design and maintain infrastructure to support data ingestion, preprocessing, training, inference, and evaluation at scale. Optimise distributed training and inference pipelines, including the use of GPUs and cloud or cluster computing … Recruitment Consultant at Aspire Life Sciences, Julien Funes' expertise lies at the nexus of technology and life sciences. He recruits top Machine Learning and data talent for Biotech and life sciences startups across Europe and North America. He is committed to advancing the industry by sourcing and securing ...