This role involves analyzing large-scale security telemetry, threat intelligence feeds, and detection data to uncover patterns and support strategic initiatives. You will work cross-functionally with product and engineering teams to transform raw security data into actionable insights, using tools like SQL, Python, and Logscale.
This role involves analyzing large-scale security telemetry, threat intelligence feeds, and detection data to uncover patterns and support strategic initiatives. You will work cross-functionally with product and engineering teams to transform raw data into actionable insights, design dashboards, and maintain data pipelines.
The role involves leading projects to develop and benchmark AI models for predicting biological processes using genomic, multi-omic, and phenotypic data. The researcher will work on large-scale datasets, develop statistical methods, and contribute to high-impact publications.
You will research and develop GPU-acceleration techniques for high-performance computing applications in scientific computing, computational engineering, and data science. This involves optimizing algorithms, collaborating with application developers, and working with NVIDIA's architecture and research teams to influence future GPU designs.
Design and implement GPU-accelerated solutions for hyperscaler environments, with a primary focus on Google Cloud Platform. Develop proof-of-concepts and optimize GenAI, machine learning, and data science workloads across training and inference pipelines. Collaborate with engineering, product, and sales teams to integrate NVIDIA technology into enterprise computing architectures and support developer adoption through technical engagement and performance optimization.
This role involves full-stack development across backend, database, and frontend applications, working with Adobe ColdFusion (CFML), MySQL, and React/TypeScript. You'll collaborate with various teams to build and maintain a multi-tenant SaaS platform, integrate with machine learning services, and contribute to CI/CD pipelines and code reviews.
This role involves working directly with enterprise and digital-native clients to design and implement data and AI solutions on the Databricks platform. You'll lead technical projects including data engineering, cloud integration, and MLOps, while providing architectural guidance and resolving complex technical challenges. The position emphasizes customer delivery, collaboration with cross-functional teams, and translating real-world feedback into product improvements.
This role involves defining and executing the AI platform strategy, leading the delivery of complex AI programmes, and ensuring scalable, cutting-edge AI solutions. You will work with a multidisciplinary team to drive innovation and maintain governance standards.
This role involves contributing to cutting-edge AI research for environmental resilience, specifically in weather and climate forecasting. The post holder will collaborate with leading researchers to develop next-generation AI models, support decision-making, and produce high-quality research outputs.
This role involves designing and implementing machine learning solutions to enhance decision-making and operational performance in a growing manufacturing supply business. The candidate will work with complex datasets, lead data science initiatives, and introduce new ways of working to a traditionally operated company.
Develop and deploy advanced machine learning and AI solutions for national security challenges in collaboration with cross-disciplinary teams. Lead technical projects, build scalable data systems and microservices, and provide technical leadership while working at the intersection of research and real-world impact. Mentor team members and contribute to research proposals and capability development.
This role involves designing and delivering secure CI/CD pipelines, building and supporting Kubernetes/container platforms, and embedding security controls into engineering workflows. You'll work closely with data and AI teams to improve platform reliability and deployment standards, with a focus on DevSecOps and automation.
This role involves developing and evaluating machine learning models to predict Strep A outbreaks using real-world datasets. You will collaborate with clinicians and an engineering team to create a tool that can provide early warnings and help protect public health.
A Senior Machine Learning Engineer in the Smarties team at Ocado will own the full ML lifecycle for production systems powering intelligent features like recommendations, search ranking, and customer personalisation. The role focuses on building scalable, reliable ML infrastructure while improving data quality and enabling product teams to integrate AI capabilities self-serve. Work spans MLOps, model design, experimentation, and cross-functional collaboration within a high-engineering-culture environment.
This role involves designing and implementing biological screening cascades for drug discovery programs, with a focus on biophysical, biochemical, and cellular assays. The scientist will bridge computational predictions with experimental validation, working closely with AI/ML teams and CROs to advance oncology and immunology projects from early discovery to clinical development. Key responsibilities include guiding assay development, interpreting complex pharmacological data, and supporting lead optimization across multiple therapeutic areas.
