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...
This role involves enabling global systems integrators and AI consulting partners to adopt NVIDIA's AI platforms, including Agent Toolkit, Nemotron, and NIM. The Senior Solutions Architect will design and implement complex AI agent workflows, support the development of RAG pipelines and Agentic AI applications, and act as a technical liaison between NVIDIA, partners, and enterprise customers. Key responsibilities include building proofs of concept, evangelizing accelerated computing, and translating business challenges into scalable AI solutions using the full AI stack.
Design and implement production-grade machine learning and AI workloads on the Databricks platform, with a focus on GenAI architectures like RAG and agentic systems. Provide technical leadership during sales cycles, mentor teams, and influence product direction through customer feedback. Engage in thought leadership via tutorials, conferences, and hackathons to drive platform adoption.
This role involves designing and implementing production-grade machine learning and AI workloads on the Databricks platform, with a strong focus on generative AI, MLOps, and large-scale data systems. The individual will lead technical engagements with enterprise customers, build proof-of-concept solutions, and influence product development through customer feedback. They will also contribute to technical thought leadership via training, conferences, and internal mentorship.
This role involves safeguarding hybrid on-premises and cloud environments, with a focus on threat detection, incident response, and security hardening across Microsoft Azure, Microsoft 365, and Intune. The engineer will actively monitor, investigate, and remediate security incidents while ensuring compliance with standards like ISO 27001 and NCSC guidance. A key part of the role includes improving detection rules, managing vulnerabilities, and supporting IAM and encryption across systems.
Design and build backend systems for scientific computing and high-performance computing (HPC) workloads, integrating with cloud and HPC job schedulers like Slurm. Collaborate closely with scientists and engineers to develop APIs, manage stateful services, and ensure robust system design. Work with modern Python and Rust tooling, containerization, and infrastructure-as-code in a deeptech environment focused on engineering optimization.
This role involves designing and building backend systems for a deeptech startup focused on optimizing complex engineering simulations. The engineer will work closely with scientists and developers to shape the platform layer, using modern Python and Rust, and will integrate systems involving HPC job management (e.g. Slurm), containerized services, and secure identity flows (OIDC/OAuth2). Responsibilities include API design, state management, and handling failure resilience in distributed systems.
Lead incident response engagements for high-profile cybersecurity breaches, conducting forensic investigations across Windows, Mac, and Linux environments. Perform malware analysis, network forensics, and intrusion hunting while delivering strategic remediation guidance to clients. Contribute to thought leadership through public speaking and technical publications.
Design and scale foundational backend services for a next-generation detection platform processing internet-scale data streams. Work on distributed systems using Go/C++ and cloud technologies to enable real-time threat detection across Falcon products. Collaborate across teams to improve platform performance, resilience, and architecture in a high-autonomy environment.
This role involves leading the design and delivery of enterprise-grade software and data platforms using Python, C#/.NET, and modern data technologies. The engineer will drive technical strategy, modernize legacy systems, and build scalable data solutions on cloud platforms like Azure and Snowflake. Key responsibilities include mentoring teams, ensuring data governance, and delivering secure, high-performance systems across analytics and operational workloads.
Develop and productionise Python-based backend services and prototypes in a research-driven, security-focused environment. Collaborate with ML/AI researchers and SREs to translate experimental outputs into robust, observable systems. Engage in live problem-solving, code reviews, and cloud-native development using Docker and CI/CD workflows.
This role involves leading the strategic development and implementation of a cohesive technology architecture to support the company's transformation and future growth. Responsibilities include defining architecture principles, standards, and roadmaps, modernizing systems, and ensuring integration and automation across the organization. The role requires hands-on involvement and strategic thinking, with a focus on leveraging data, AI, and emerging technologies to drive competitive advantage.
This role involves supporting daily security operations by monitoring and analysing alerts using modern security tools such as Palo Alto Cortex XSIAM, XSOAR, and Microsoft Purview. The analyst will assist in incident response, investigate threats like phishing and malware, and contribute to improving detection and automation capabilities within a global environment. Emphasis is placed on learning and professional development, with opportunities to gain hands-on experience across a cloud-first security stack.
This role involves leading the commercial structuring and execution of Snowflake's largest international customer deals across EMEA and APAC. The person will define deal economics, navigate regional pricing and regulatory constraints, and collaborate with sales, legal, and finance teams to close high-value, complex agreements. They will also coach field teams, engage directly with senior stakeholders, and shape repeatable commercial strategies using AI-native workflows.
This role involves providing deep technical expertise for Broadcom's mainframe solutions, focusing on AIOPS, automation, performance management, or storage. The consultant will work closely with sales and customers to design, demonstrate, and implement complex solutions, leading proofs of concept and ensuring technical requirements are met. The position requires strong mainframe knowledge, customer engagement, and cross-functional collaboration in a remote UK-based role.
