7 of 7 Data Engineering Jobs in Cambridge

in healthcare, research, and education as we look to establish and develop a hub for our wide-ranging innovation work across the Trust. We recognise that the Trust's data represents one of our most potent assets to support innovation, as well as research and quality improvement. But we have yet to fully exploit its potential. Our new Clinical … Data Science and Engineering Unit will be the vital engine room for curating, sharing and utilising our data for novel purposes outside of the routine operations of hospital. It will work collaboratively with the Trust's core digital and data functions, performance and analytics, clinical and operational staff, academics and commercial partners to discover new insights … and develop data-driven applications. It will also play a key role in managing the safe, secure and efficient deployment of such solutions - from predictive analytics to medical device-grade decision support tools - in line with policies and processes that it takes the lead in designing. The Trust is committed to funding the unit and the necessary digital technology More ❯

Salary: £49,100-£64,600 with an average profit share of £3,532-£10,861. Softwire is one of the UK's leading digital technology consultancies, offering services in data, AI, cloud, CX, innovation, design, and software engineering. We deliver high-profile, mission-critical, and transformational projects for household names across the public and private sectors. Founded on the … clients. Our culture and values emphasize doing jobs properly, making work fulfilling and fun, extending kindness, and trusting each other to reduce bureaucracy. In brief We seek well-rounded data engineers capable of tackling complex data challenges, impressing clients, and impacting team output. We offer a supportive environment with career development, mentorship, and diverse project opportunities. You will … work with talented developers and data engineers, supported by a Technical Lead, on projects such as: Data modeling for Moorfields Eye Hospital's INSIGHT programme Maintaining data pipelines and dashboards on Elexon's Azure platform Implementing AI transcription services for the BBC using GenAI Migrating legacy Excel workflows for a financial services firm Modeling data for More ❯

Job Title: DevOps Specialist & Data Engineer Location: Remote Type: Full-time Experience Level: Senior Industry: Generative AI/Artificial Intelligence/Machine Learning Reports To: Head of Engineering/CTO About Us Ready to join a cutting edge AI company? We’re on a mission to become the OpenAI of the spicy content industry, building a full-spectrum … and images, with a roadmap that includes agentic superModels, API integrations, and video capabilities. Role Overview We are looking for a Senior DevOps Specialist with a strong python and data engineering background to support our R&D and tech teams by designing, building, and maintaining robust infrastructure and data pipelines across AWS and GCP. You will be … and proactively resolve infrastructure issues. Manage CI/CD pipelines for rapid, reliable deployment of services and models. Ensure high availability, disaster recovery, and robust security practices across environments. Data Engineering Build and maintain data processing pipelines for model training, experimentation, and analytics. Work closely with machine learning engineers and researchers to understand data requirements and More ❯

our culture of innovation and collaboration that drives us to deliver exceptional benefits to our clients every day. We are seeking an experienced and dynamic Technical Project Manager for Data Analytics Services to join our team. The ideal candidate will have a strong background in managing technical projects related to legacy data platform migration, data lake build … and data analytics across multiple cloud platforms. This role requires a blend of project management expertise and technical acumen to ensure successful delivery of complex data projects on time and within budget. Key Responsibilities: Project Management: Lead and manage legacy data platform migration (Teradata, Hadoop), data lake build, and data analytics projects from initiation to … project plans, including scope, timelines, resource allocation, and budgets. Monitor project progress, identify risks, and implement mitigation strategies to ensure successful project delivery. Coordinate with cross-functional teams, including data engineers, data scientists, and IT professionals, to ensure seamless execution of projects. Technical Leadership: Provide technical guidance and expertise on data migration strategies, data lake architectures More ❯

Sciences effort is leveraging AI and high-throughput automation for valuable therapeutic discovery and development across biological modalities. And our Physical Sciences effort is developing a novel AI and data-driven approach to materials discovery and development to accelerate the transition to a sustainable economy. At Lila, we are uniquely cross-functional and collaborative. We are actively reimagining the … listed below, please apply. The Role We are seeking a mid-level Machine Learning Operations Engineer to join our growing team. In this role, you will focus on unifying data management at Lila by building and maintaining high performance and robust data pipelines to support a variety of machine learning use-cases. You will work closely with both … Engineers to ensure the seamless integration of cutting-edge LLM research with scalable, production-ready systems for life science and physical science automation. Responsibilities: Design and implement high-performance data processing infrastructure for large language model training Collaborate with researchers to implement novel data processing pipelines Develop an easy-to-use, secure, and robust developer experience for researchers More ❯

You will: Help create and maintain a lightning-fast, resilient, scalable build system that templates, renders and compiles many languages for many targets - and feeds machine learning algorithms with data about its operation. Ruthlessly optimise, refactor, and deprecate existing production tools, flows, scripts Integrate and optimise use of external-vendor EDA tools & suites Improve and maintain continuous integration/… Bazel, Nextflow, FuseSoC) Hardware EDA tools (eg. simulation, linting, synthesis) Systemverilog, C/C++, Simulator DPI/VPI Containerization (eg. Docker) Distributed Compute, Orchestration Jenkins Automation Software templating, rendering Data Engineering/Data Science/Machine Learning Who we are Imagination is a UK-based company that creates silicon and software IP designed to give its customers More ❯

Our new Clinical Data Science and Engineering Unit will be the vital engine room for curating, sharing and utilising our data for novel purposes outside of the routine operations of hospital. It will work collaboratively with the Trust's core digital and data functions, performance and analytics, clinical and operational staff, academics and commercial partners to … discover new insights and develop data-driven applications. It will also play a key role in managing the safe, secure and efficient deployment of such solutions - from predictive analytics to medical device-grade decision support tools - in line with policies and processes that it takes the lead in designing. The Research Software Engineer is a key role in this … new unit, contributing to the delivery of advanced data engineering solutions to manage large volumes of data effectively. The role has a particular focus on supporting the technical delivery and implementation of key commercial partnerships, curating viable, deep, longitudinal and anonymised research datasets, with an initial focus on oncology. In doing so, you will support the generation More ❯