This role involves managing a team of Technical Deployment Leads (TDLs) in the Financial Services sector, ensuring high-quality delivery of AI solutions, and building strong relationships with executive stakeholders. Responsibilities include hiring, developing team members, managing customer engagements, and setting technical and operational standards.
This role involves owning and evolving a high-performance computing (HPC) infrastructure to support CPU/GPU-intensive physics simulations, with a focus on performance tuning, job scheduling, and capacity planning. The IT Lead Engineer will also mentor junior staff, automate IT processes, and act as the escalation point for complex technical issues across HPC, developer tooling, and general IT. The position operates in a high-ownership environment within a deep-tech scale-up, requiring strong Linux, networking, and zero-trust security expertise alongside an automation-first mindset.
This role involves designing and implementing security features for a core platform in an AI-driven engineering simulation environment. The developer will act as a security SME, conducting threat modeling, code reviews, and mentoring teams on secure coding practices. Key focus areas include authentication, authorization, and secure CI/CD workflows within a high-performance technical environment.
This role involves designing, building, and evolving scalable data pipeline and orchestration infrastructure for Wayve's autonomous driving platform. You'll revamp the existing Harness system, develop a new DAG-based workflow platform, and ensure the platform supports high-priority data runs and batch inference workflows.
This role involves building, scaling, and optimizing next-generation world model architectures for synthetic data generation to accelerate autonomous vehicle development. You will collaborate with researchers and engineers to post-train models, debug large-scale GPU jobs, and integrate synthetic data into the training pipeline for real-world driving models.
This role involves designing, building, and maintaining scalable tools for data, automation, and AI initiatives. You will work closely with SEO, paid media, content, and analytics teams to develop proprietary products, API integrations, and data pipelines, and support AI-driven automation workflows.
This role involves designing and maintaining scalable MLOps infrastructure, deploying and managing machine learning models on Azure, and building CI/CD pipelines. You will work closely with engineering and delivery teams to ensure platform reliability and support the adoption of AI solutions.
This role involves leading a team to integrate Scale AI's cutting-edge AI capabilities with enterprise clients' technical infrastructure. Responsibilities include designing custom integrations, developing production-grade AI agents, and ensuring successful deployment and adoption of AI systems in production environments.
Lead and coach a team of enterprise account executives focused on the Energy & Utilities and Telco sectors, driving sales growth and consumption of Databricks' data and AI platform. Develop territory and revenue strategies, collaborate with cross-functional teams, and build strategic customer relationships. The role emphasizes value-based selling, technical sales methodology, and scaling a high-performing team within a fast-growing tech environment.
This role involves driving adoption of Databricks Lakebase, a fully managed Postgres service, by partnering with account executives and technical teams to position it for intelligent applications and modern operational data workloads. The specialist will lead sales cycles, conduct proofs of value, and enable field teams to sell Lakebase effectively to platform, data, and IT stakeholders. Success requires strategic engagement with high-value accounts, strong technical sales skills, and the ability to articulate business outcomes around cost, governance, and developer productivity.
The AI Accelerator Lead will establish and drive a strategic initiative to unlock enterprise-wide value from AI, combining technical leadership with programme-level influence. Responsibilities include designing and operating the AI Accelerator, exploring advanced AI techniques, and building high-impact prototypes that evolve into scalable solutions.
Build secure, auditable systems for handling lawful data access requests, translating legal and operational requirements into reliable technical workflows. Design backend services, data pipelines, and approval interfaces with strong privacy, least-privilege access, and full lifecycle auditability. Collaborate closely with Legal and Operations to improve accuracy, efficiency, and operator experience in high-stakes compliance processes.
The AI Enablement Lead will work with technology and business teams to drive AI adoption, governance, and value realization across the organization. Key responsibilities include developing AI use cases, building organizational AI literacy, and promoting responsible AI practices.
Lead the design and deployment of enterprise AI and data transformation initiatives in highly regulated sectors, focusing on secure, scalable production systems. Guide technical roadmaps, mentor cross-functional teams, and ensure compliance with governance and security standards. Work across AI/ML, generative AI, and cloud platforms to deliver end-to-end solutions from concept to operation.
This role involves building and automating AI-powered workflows to streamline GTM processes, connecting disparate systems, and working across departments to create reliable, automated solutions. The focus is on using AI and low-code tools to drive efficiency and scalability.
