This role involves owning full-solution validation, minimizing time to production, and ensuring Day 2 stability for large-scale GPU clusters. You will work closely with customers, partners, and cross-functional teams to architect, implement, and optimize Kubernetes-based platforms and HPC systems.
This role involves owning full-solution validation, minimizing time to production, and ensuring Day 2 stability for large-scale GPU clusters. You will work closely with customers, partners, and cross-functional teams to architect and implement Kubernetes-based platforms, automate processes, and provide consultative guidance across the entire stack.
This role involves developing and advancing AI systems for autonomous driving, focusing on areas like world modeling, reinforcement learning, and spatial intelligence. You'll work on cutting-edge research and real-world deployment, contributing to the future of embodied AI.
This role involves advancing embodied AI for autonomous driving through research in world modeling, reinforcement learning, and 3D spatial understanding. The scientist will develop foundation models, scalable decision-making systems, and sim-to-real transfer techniques, working at the intersection of machine learning, robotics, and simulation. The position emphasizes long-horizon prediction, cross-embodiment learning, and evaluation framework development in a research-driven environment.
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.As AI continues to shape...
Drive land-and-expand sales strategies for enterprise clients with over 10,000 employees, focusing on AI-powered video solutions. Collaborate with Customer Success to ensure adoption, retention, and growth. Operate in a high-growth, value-driven SaaS environment using methodological sales frameworks.
Lead or contribute to drug discovery projects by integrating medicinal chemistry expertise with AI-driven platforms. Collaborate closely with machine learning scientists to refine predictive models, guide programs from hit identification to candidate selection, and manage external research partners. The role emphasizes innovation in structure-based and fragment-based design within a dynamic, interdisciplinary environment.
Lead toxicology strategy in an AI-driven drug discovery environment, designing safety assessment frameworks and predictive models to reduce reliance on animal testing. Collaborate with machine learning teams to integrate toxicology insights into a digital drug design engine, while mentoring junior scientists and guiding regulatory submissions for small molecules and biologics.
Leads international communications strategy across Europe, Asia, and the Americas, translating business growth into locally resonant media stories. Advises regional leaders, shapes press narratives around market expansions and customer wins, and builds regional PR teams and agency networks. Ensures global consistency while adapting messaging to local media landscapes and business priorities.
This role involves driving big data and AI transformation within major Defence contractors by identifying high-impact use cases and delivering value through the Databricks Data Intelligence Platform. The Enterprise Account Executive will lead complex sales campaigns, collaborate with ecosystem partners, and engage C-level executives to expand strategic accounts. Success requires deep sector expertise, experience in value-based selling, and the ability to orchestrate technical and business teams to achieve customer and revenue goals.
A Machine Learning Scientist will develop and apply advanced sequence modelling techniques to DNA and genetic data to uncover associations between genetic variants and diseases. The role involves building and evaluating ML models for variant interpretation, gene discovery, and regulatory modelling, in close collaboration with computational and experimental scientists. Work is grounded in real-world therapeutic discovery, leveraging both internal and large-scale external genomics datasets.
This role involves partnering with the research team to develop and refine intraday and systematic trading strategies using statistical arbitrage. You will analyze large-scale market data, build predictive models, and collaborate with technology teams to integrate these models into advanced trading infrastructure. The position is ideal for those who want to be involved in all aspects of the research, trading, and coding process in a collaborative start-up environment.
This role involves managing the operational performance and reliability of enterprise AI platforms in production, with a focus on incident management, monitoring, SLAs, and DevOps practices. The individual will ensure operational readiness, support continuous improvement, and coordinate with distributed teams while applying principles of AI governance and responsible AI. The position requires strong technical leadership in cloud-based AI environments, particularly with Microsoft Azure AI and Co-pilot.
Lead the development of innovative wireless communication systems for diverse clients, from startups to global enterprises. Drive techno-commercial projects from concept to delivery, focusing on emerging technologies like Low Earth Orbit Satellites and High-Altitude Platforms. Mentor engineers and shape next-generation solutions in cellular, satellite, and personal area networks.
The role involves analysing and optimising cash management workflows, with a focus on Nostro accounts, intraday liquidity, and funding efficiency. The analyst will support automation initiatives, develop real-time reporting dashboards, and evaluate AI-driven solutions to enhance liquidity controls. Collaboration with technology teams is key to assessing system enhancements and improving treasury operations.
