Develop automated tools for large-scale data analysis, vulnerability research, and exploit development. Investigate 0-day and n-day vulnerabilities by analyzing patches, malware, and system logs. Collaborate across teams to support threat intelligence and publish findings in blogs or conferences.
Develop and maintain security automation workflows and SOAR playbooks to enhance detection, triage, and response within a managed detection and response (MDR) environment. Leverage Python and PowerShell scripting, integrate AI-powered workflows, and collaborate with SOC analysts to improve operational efficiency. Work with SIEM data, version control systems, and emerging automation technologies in a remote-first cybersecurity team.
This role involves working closely with government clients and internal teams to design and deploy AI-driven solutions that address public sector challenges. The Solution Architect will develop technical strategies, create educational resources, lead proof-of-concept initiatives, and support the implementation of AI workflows using NVIDIA's technologies. A strong focus is placed on computer vision, generative AI, and deep learning deployment in real-world government environments.
This role involves working closely with government clients and partners to design and deploy AI-driven solutions using NVIDIA's hardware and software technologies. The Solution Architect will develop technical collateral, lead proof-of-concept initiatives, and guide field teams in implementing AI workflows across public sector challenges. A strong focus is placed on computer vision, generative AI, and MLOps, with an emphasis on translating mission goals into scalable technical strategies.
This role involves developing and applying machine learning interatomic potentials (MLIPs) to model atomistic systems for real-world materials science challenges. The Research Scientist will work on high-fidelity, multi-physics simulations using state-of-the-art ML frameworks, run large-scale experiments on chemistry and materials datasets, and collaborate across disciplines to translate research into production-ready pipelines. The position operates in a high-performance computing environment and emphasizes publication, mentorship, and cross-functional communication.
This role involves working closely with sales teams to provide technical expertise during the pre-sales process, focusing on Databricks' Data Intelligence Platform. The engineer will engage with clients through hands-on demonstrations, Spark programming, and solution design, helping them solve complex data and AI challenges. Responsibilities include building reference architectures, delivering technical presentations, and participating in customer workshops across industries like financial services, retail, and media.
Lead business development and delivery projects for an AI-driven simulation platform within the aerospace and defense sector. Engage with senior engineering and manufacturing leaders to identify opportunities, scope technical proposals, and drive customer adoption. Shape product direction through direct customer feedback and represent the company at industry events, balancing strategic relationship management with hands-on project execution.
This role involves working directly with enterprise customers to design and implement end-to-end data and AI solutions on the Databricks platform. The engineer leads architectural decisions, builds production-grade systems, and integrates data pipelines with ML/AI models and applications. Emphasis is placed on customer collaboration, reusable solutioning, and influencing product development through real-world feedback.
Design and evolve the ML platform infrastructure for training, serving, and deploying generative models at scale. Build reliable, automated systems and internal tooling to reduce operational overhead for researchers and engineers. Work across distributed systems, Kubernetes, and cloud environments to improve scalability, observability, and developer experience in a high-growth AI company.
This role involves generating and qualifying sales leads for Synthesia through inbound and outbound outreach, using phone, email, and social channels. The candidate will work closely with marketing and sales teams to convert interest into opportunities, with a strong focus on German-speaking markets. Success requires proactive lead mapping, cold outreach, and seamless handoff to account executives in a fast-paced AI startup environment.
The role involves onboarding and implementing Luminance's Legal-Grade AI technology for enterprise clients globally, working closely with in-house legal teams to integrate the platform into existing contract management workflows. The specialist ensures smooth adoption by guiding customers through setup and initial use, collaborating with Customer Success Managers. This position sits at the intersection of legal technology and client enablement, focusing on technical onboarding and practical training.
Lead the design, evaluation, and deployment of a Socratic AI tutor on the Isaac Science and Ada Computer Science platforms, guiding student problem-solving through hints and prompts without revealing full answers. Collaborate with engineering, content, and education teams to prototype, trial, and scale the system in partnership with schools. Work within a multidisciplinary research environment at the University of Cambridge, focusing on pedagogically informed AI in STEM education.
Lead and scale a security engineering team at the forefront of AI-driven drug discovery, designing and implementing a robust, AI-first security architecture. Translate complex scientific and business objectives into secure, automated systems while enabling high-velocity research in a regulated, cloud-native environment. Collaborate closely with ML researchers, medical teams, and Google/Alphabet partners to secure cutting-edge digital biology platforms.
This role involves diagnosing and resolving engineering faults in a highly automated grocery fulfilment centre, ensuring smooth operations through reactive and planned maintenance. The technician will work hands-on with advanced automation systems and contribute to reliability improvement projects. The position operates on a 24/7 shift pattern, requiring comfort with working at height and adherence to safety protocols.
Design and maintain large-scale, distributed backend systems for automated in-store order fulfilment, integrating AI tools into development workflows. Lead technical initiatives from design to deployment while collaborating with product and business teams in an agile environment. Work with cloud infrastructure and modern Scala/Java ecosystems to support high-availability systems processing hundreds of thousands of orders weekly.
