This role involves working on a nationally critical infrastructure project, providing environment management, IT development, and Java feature development and testing. You will collaborate with the existing CDS programme and support the delivery of critical systems using DevOps practices and cloud technologies.
This role involves designing, implementing, and securing enterprise network services across on-premises, cloud, and hybrid environments. Responsibilities include leading network security engineering, driving automation, and supporting secure browser-based access solutions.
DEVOPS ENGINEER TRAINEESHIPBecome a DevOps Engineer and Build Real-World ExperienceAre you interested in cloud computing, software development, automation, and building reliable technology platforms? Do you want to gain practical experience while developing technical skills that are in high demand across...
DEVOPS ENGINEER TRAINEESHIPBecome a DevOps Engineer and Build Real-World ExperienceAre you interested in cloud computing, software development, automation, and building reliable technology platforms? Do you want to gain practical experience while developing technical skills that are in high demand across...
This role involves architecting and optimizing large-scale AI inference solutions on multi-GPU systems, focusing on cutting-edge challenges like MoE models, speculative decoding, and interconnect-aware scheduling. You will work closely with leading AI organizations and NVIDIA’s product teams to deploy high-performance inference pipelines. The position emphasizes deep technical collaboration, performance optimization, and community engagement across EMEA.
This role involves guiding EMEA-based AI companies and infrastructure providers in deploying and optimizing large-scale AI inference workloads on multi-node GPU clusters. The Senior Solutions Architect will design efficient inference pipelines for dense and sparse Mixture-of-Experts (MoE) models, improve inference efficiency through quantization, speculative decoding, and KV cache optimization, and collaborate with NVIDIA product teams to drive technical innovation. The position also includes leading technical workshops and building developer community engagement around AI inference.
As a Senior Software Engineer, you will design, develop, and maintain internal web applications, business systems, and integrations. You'll modernize processes, improve data flows, and implement cloud-based solutions in Microsoft Azure, collaborating with stakeholders to deliver practical solutions and influence the technology roadmap.
Design and implement secure C applications on Linux with a focus on identity integration, automated deployment, and low-level API development. Work extensively with LDAP, OAuth, and OpenID Connect for authentication, and use Terraform or OpenTofu for infrastructure provisioning. The role involves building systems-level software in a hybrid environment with strong attention to security and configuration integrity.
This role involves building and maintaining production Python services and APIs, integrating LLM capabilities, and improving the security and reliability of existing systems. You will work within a large codebase, focusing on structured refactoring and enhancing platform reliability.
This role involves designing, building, and optimizing production-grade data pipelines using Databricks, Spark, and Delta Lake. You will work closely with Data Scientists, Analysts, and Product teams to deliver high-quality data products and contribute to engineering standards and platform optimization.
This role involves designing and delivering secure cloud environments for high-assurance national defence clients, blending DevSecOps practices with customer-facing technical leadership. You'll lead cloud architecture discussions, implement secure solutions on AWS, and collaborate closely with operational teams and partners. The position emphasizes pragmatic engineering trade-offs, secure CI/CD, and knowledge sharing within a security-cleared environment.
This role involves building and maintaining MLOps infrastructure to productionise AI and computer vision models, from distributed training to deployment on cloud and edge devices. The engineer will optimise inference, manage model registries, and develop CI/CD pipelines while working closely with research and software teams. The role includes hands-on work with GPU-accelerated edge systems and customer-facing deployment environments.
This role involves hands-on management and optimization of a hybrid Azure/on-prem environment, focusing on Azure, VMware, and Terraform/IaC. Responsibilities include remediating platform issues, implementing improvements, and automating infrastructure changes.
Design and maintain a scalable, secure data platform on Azure and Snowflake, using infrastructure-as-code (Terraform) and CI/CD pipelines (Azure DevOps, GitHub Actions). Implement observability, security, and automation practices while mentoring junior engineers and collaborating with data science and business teams. Focus on enabling advanced analytics in a healthcare and insurance context.
This role involves working on short to medium-term customer engagements to solve big data challenges using the Databricks platform. You'll design and implement data engineering and data science solutions, integrate with client systems, provide technical training, and act as an escalation point for complex issues. The position emphasizes hands-on implementation, customer collaboration, and feedback to product teams to improve platform capabilities.
