Future Tech Jobs
Future Tech Jobs
Design and define next-generation system architectures for DPUs and NICs, spanning from hardware to application layers. Lead cloud networking solutions with a focus on orchestration, provisioning, and security. Collaborate globally with engineering teams and external customers to innovate and prototype cutting-edge data center technologies.
Design and define next-generation system architectures for DPUs and NICs, spanning hardware to application layers. Lead cloud networking solutions involving orchestration, provisioning, and security, while collaborating with global engineering teams and external customers. Develop prototypes, evaluate emerging technologies, and deliver clear architectural specifications for scalable data center systems.
Design and implement monitoring, logging, and alerting systems to enable rapid detection and recovery. Build dashboards that reflect real user-centric platform health. Improve deployment safety through better change management, validation, and rollback mechanisms.
Investigate on-road incidents and recurring issues in Wayve's autonomous vehicle stack using data analysis, simulation, and cross-functional collaboration. Identify root causes across hardware, software, and AI models, then develop automated workflows and playbooks to improve resolution speed and system performance. The role involves deep technical investigation, clear communication of insights, and contributing to a safety-first culture.
This role involves deploying and optimising CrowdStrike’s AI-powered threat detection and response capabilities for enterprise customers. The consultant will configure machine learning models, develop automation playbooks, troubleshoot AI-driven alerts, and integrate Falcon’s AI features into existing security workflows. A strong focus is placed on enhancing detection efficacy, reducing false positives, and leading AI skills development within the services team.
This role involves deploying and optimizing CrowdStrike’s AI-powered threat detection and response capabilities for enterprise customers. The consultant will configure machine learning models, develop automation playbooks, and troubleshoot AI-driven security workflows while providing technical leadership and customer support. The position emphasizes hands-on implementation, AI integration with existing security tools, and enhancing detection efficacy through advanced scripting and Falcon API utilization.
This role involves securing AI-first drug discovery platforms by designing risk frameworks, protecting ML model artifacts, and implementing security controls across distributed training and inference systems. The engineer will lead AI-specific incident response, develop guardrails for LLMs and autonomous agents, and ensure compliance with global regulations like the EU AI Act. Close collaboration with ML researchers and platform teams is essential to embed security into the full AI lifecycle while advancing AI safety standards.
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.
Develop and deploy scalable machine learning systems integrated with high-fidelity physics simulations, working directly with customers and engineering teams to solve real-world industrial challenges. Focus on building reliable data pipelines, manipulating 3D point-cloud and mesh data, and translating research into production-grade tools. The role involves significant customer collaboration, on-site problem solving, and travel across multiple regions.
A Senior Machine Learning Engineer in the Smarties team at Ocado will own the full ML lifecycle for production systems powering intelligent features like recommendations, search ranking, and customer personalisation. The role focuses on building scalable, reliable ML infrastructure while improving data quality and enabling product teams to integrate AI capabilities self-serve. Work spans MLOps, model design, experimentation, and cross-functional collaboration within a high-engineering-culture environment.
This role involves leading the design and implementation of complex, cloud-native systems within a high-growth fintech environment. The engineer will drive technical direction, mentor senior teams, and solve ambiguous, large-scale problems across distributed services. Emphasis is placed on operational excellence, cross-team collaboration, and advancing Thought Machine's core banking platform through innovation in architecture and developer practices.
Lead the development of advanced AI safety evaluations to assess risks in critical domains like CBRN and cybersecurity. Conduct original research from concept to publication, shape methodological strategy, and collaborate with frontier labs and government stakeholders. Focus on rigorous, scientifically grounded approaches to red-teaming, robustness testing, and evaluation design.
This role involves leading the design and implementation of complex, cloud-native banking systems, driving technical direction across engineering teams, and mentoring senior engineers. The engineer will solve highly ambiguous problems, improve operational processes across production environments, and help shape company-wide standards in security, scalability, and developer velocity using modern technologies including AI tools. Collaboration with leadership and cross-functional stakeholders is key to delivering long-term platform vision.
Design and optimise transaction monitoring systems to detect financial crime risks across Barclays UK and International. Develop statistical and machine learning models using tools like SQL, Python, and Spark, while ensuring compliance with AML regulations and governance standards. Collaborate with cross-functional teams to enhance detection capabilities and support strategic financial crime risk initiatives.
Lead the engineering team behind Multiverse's Diagnose & Prescribe (D&P) system, which assesses skill gaps and guides learners and employers to the right apprenticeships. You'll own technical direction, team health, and delivery across AI-driven services including RAG, LLM-scored assessments, eligibility logic, and onboarding flows. Work closely with Product, Design, and GTM to shape an AI-native platform while evolving services out of a legacy monolith.
