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.
Conducts advanced vulnerability research and exploit development, analyzing patches and malicious artifacts to identify 0-day and n-day vulnerabilities. Develops automated tools for large-scale data analysis and collaborates across teams to publish findings and support threat intelligence efforts. Focuses on reverse engineering, proof-of-concept creation, and rapid response to emerging threats.
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.
Design and build full-stack applications that integrate AI-driven physics simulation models into real-world engineering workflows. Collaborate directly with customers and technical teams to prototype, deploy, and iterate on high-impact tools across aerospace, energy, and advanced manufacturing. Work across backend services, APIs, and cloud infrastructure while contributing to core platform development.
This role involves embedding with strategic enterprise customers to build and deploy production AI applications using Anthropic's Claude models. The engineer will develop custom solutions like agent skills and MCP servers, provide on-site deployment support, and translate customer needs into technical implementations while maintaining safety and reliability standards. As a founding member of the Forward Deployed Engineering team, the role also shapes Anthropic’s customer deployment strategy and contributes insights back to product and engineering teams.
Lead and build Anthropic's first Forward Deployed Engineering team, guiding technical customer implementations of Claude while shaping best practices and product direction. This role combines hands-on technical oversight with team leadership, requiring experience in enterprise AI deployments and scaling engineering teams from the ground up. The manager will travel frequently to customer sites and act as a bridge between field experience and internal product development.
This role involves researching and prototyping agentic AI workflows within cybersecurity, exploring how autonomous systems can enhance threat detection and response across Darktrace’s platform. You'll collaborate with product, engineering, and ML teams to translate novel AI concepts into functional prototypes, while maintaining deep expertise in both AI advancements and security applications. The position emphasizes innovation, cross-functional coordination, and applied research in a real-world cyber defense context.
The role involves deep expertise in a specific reliability domain such as observability, performance engineering, or security-focused SRE, with responsibility for defining standards, building automation, and improving system resilience across a cloud-native platform. The engineer will lead incident response, develop tooling for scalability, and integrate reliability practices across Platform Engineering and DevSecOps. Emphasis is placed on cross-team collaboration, operational excellence, and driving long-term fixes for complex systemic issues.
Design and build scalable backend systems for detecting and preventing abuse of free-tier services, focusing on AI-driven moderation and guardrails. Develop production-grade APIs, data pipelines, and observability frameworks while collaborating with ML engineers to deploy models at scale. Own end-to-end technical execution of safety infrastructure across a multimodal AI platform.
Develop and apply advanced machine learning models to DNA and genetic data to uncover associations between genetic variants and diseases. Collaborate with computational and experimental scientists to validate hypotheses and integrate ML into target discovery pipelines. Work on sequence modelling tasks such as variant interpretation, gene discovery, and regulatory mechanism analysis using large-scale genomic datasets.
Work as a freelance Translator/Linguist on a flexible basis, refining AI-generated translations for fluency, cultural accuracy, and natural spoken delivery. Collaborate with audio and dubbing teams to produce high-quality localized content including subtitles, dubs, and audiobooks. Use AI-assisted workflows and maintain terminology consistency across multimedia projects.
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 in a technically challenging environment, collaborating with data and AI teams to improve platform reliability and deployment standards.
The Lead Software Engineer will design and implement software solutions for underwater robotics applications, working closely with multidisciplinary teams to deliver complex projects. Responsibilities include leading technical innovation, ensuring software quality, and mentoring junior engineers.
This role involves designing and developing customer-focused data science solutions, including segmentation, lifetime value, forecasting, and targeting. You will work closely with the Data Science Lead and other team members to take models from problem definition through deployment and monitoring, and contribute to the development of a new Data Science platform.
This role involves designing, building, and operationalising advanced machine learning solutions for UK national security objectives. The Senior Machine Learning Engineer will work in a multidisciplinary AI environment, leading experimentation cycles, transitioning models to production, and ensuring robust and scalable deployments using AWS and MLOps tools.
