NVIDIA is seeking a Senior MLOps Engineer to join our DSX Enablement team, collaborating closely with strategic customers to implement and enhance groundbreaking AI workloads. We partner with the world's most innovative AI companies and open-source communities to address their...
LEAD DATA ENGINEER (Azure)Uo to £75,000 + BenefitsLondon (Hybrid)This is a fantastic opportunity to join one of the UK's most recognisable cultural organisations as they embark on a major data transformation programme. You'll take ownership of building a modern data...
Lead a 6-person engineering team building internal business systems using C#, .NET, and Azure. Balance hands-on development with technical leadership, mentoring, and improving engineering practices. Drive project delivery from concept to implementation while collaborating closely with product and business stakeholders in a hybrid remote setup.
This role involves designing and developing scalable RAG pipelines, generative AI workflows, and agentic systems. You will contribute to evaluation frameworks, model optimization, and mentor junior engineers in a growing AI function focused on real-world impact.
Develop production-ready AI-powered applications using Python, C#, and cloud platforms, integrating LLMs and machine learning models into enterprise software. Work on scalable backend services, APIs, and microservices in a collaborative engineering environment. Focus on practical AI solutions with a modern tech stack and clear pathways to senior roles.
This role involves embedding security into the software development lifecycle by integrating security controls into CI/CD pipelines, securing APIs and cloud environments, and supporting development teams with secure design and tooling. The engineer will work extensively with Microsoft Azure, Kubernetes, GitHub Actions, and security-as-code practices, focusing on automation, threat modelling, and secure engineering. The position supports a health research organisation’s mission to safeguard sensitive medical data through robust application security.
This role involves full-stack Java development within a modern, scalable software platform, with a focus on microservices, event-driven architecture using Kafka, and cloud-native technologies. The engineer will contribute to solution design, write production-quality code, and participate in agile practices while collaborating closely with senior engineers and architects. Key technologies include Java Spring, Docker, Kubernetes, MongoDB, and React, within a culture emphasizing technical excellence, continuous learning, and knowledge sharing.
Design and operate scalable AI infrastructure on Microsoft Azure and Foundry, focusing on productionising RAG pipelines, LLM orchestration, and vector search systems. Build resilient, secure, and observable cloud-native services using Terraform, Python, and CI/CD tooling. Collaborate with AI and DevOps teams to enhance performance, reliability, and governance across ingestion, retrieval, and inference layers.
This role involves full-stack Java development within a modern, scalable software platform, with a focus on microservices, event-driven architecture using Kafka, and containerisation via Docker and Kubernetes. The engineer will contribute to solution design, architecture, and agile ceremonies while building robust, test-covered production code. Collaboration, knowledge sharing, and engagement with modern observability tooling are key aspects of the role.
This role involves conducting in-depth research into emerging cybersecurity threats, vulnerabilities, and attack techniques, with a focus on reverse engineering, exploit development, and prototyping. The engineer will design and build security tools, perform vulnerability analysis across multiple platforms, and collaborate with cross-functional teams to turn research into practical solutions. The position supports technical reporting and knowledge sharing within a multidisciplinary team working on high-impact security challenges.
This role involves leading the end-to-end delivery of analytics and data engineering projects for clients, including designing cloud-based data solutions, building transformation pipelines, and developing data visualisations. The consultant will act as a technical advisor, leading workshops and solution design while mentoring team members and driving best practices. Work is delivered remotely across diverse client engagements using modern data stack technologies on Google Cloud.
This role involves designing and managing AWS cloud architecture, building infrastructure as code with Terraform, and maintaining CI/CD pipelines. You will work closely with architecture and security teams to ensure secure and scalable cloud infrastructure in a hybrid London setup.
This role involves hands-on development using C# .NET, Angular, and AWS, while also leading and mentoring a team of developers. You will drive best practices, support Agile delivery, and contribute to architectural decisions, ensuring high-quality, scalable solutions are delivered globally.
Design and develop the compute layer for a cloud-native, managed event streaming platform with a focus on high availability, scalability, and multi-tenancy. Work on distributed systems challenges in a production environment, driving technical solutions from concept to delivery while collaborating closely with stakeholders and solving deep infrastructure problems.
This role involves being the primary technical advisor for a major financial services client, driving technical adoption of Snowflake's platform across risk analytics, regulatory data, fraud detection, and AI/ML use cases. The engineer will lead proof of concepts, design enterprise data solutions, and act as an internal advocate, coordinating cross-functionally to accelerate platform adoption. It’s a high-impact, client-facing role requiring deep expertise in cloud data platforms and financial services architecture.
