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Chief Information Security Officer (CISO)

Lead and scale the global cybersecurity organization at a leading crypto platform, defining security strategy, overseeing security engineering and operations, and ensuring regulatory compliance ahead of IPO. Strengthen cloud, application, and infrastructure security while embedding security into development and establishing AI governance. Operate custody systems and provide executive-level risk assessments to board and regulators.

Blockchain.com London, United Kingdom

Back-End Engineer, Trading

Design and develop backend services in Kotlin and Python for a high-performance cryptocurrency trading platform, focusing on real-time order management, market data processing, and low-latency APIs. Collaborate with product, frontend, and trading teams in an international environment with strong emphasis on system reliability, scalability, and engineering excellence.

Blockchain.com London, United Kingdom

On-site Permanent

Data Platform Engineering Manager

Lead and grow a team of senior data platform engineers building Kraken's real-time streaming infrastructure. Own the architecture and roadmap for high-volume, low-latency data systems using technologies like Kafka, Flink, Spark, and RisingWave. Drive AI-powered automation in data workflows and evolve the data lake and warehouse to support both batch and streaming workloads across trading, risk, compliance, and product teams.

Kraken London, United Kingdom, United Kingdom

Remote Permanent

Senior AI Product Engineer

Design and build agentic AI workflows and backend systems that transform complex blockchain data into actionable insights for compliance investigators. Lead technical decisions on LLM integrations, evaluation frameworks, and production reliability while mentoring junior engineers and shaping cross-team AI practices. Work across the full stack to ship AI-powered features in a high-impact, real-world financial crime detection environment.

Elliptic London, United Kingdom, United Kingdom

Hybrid Permanent

Senior AI Compute Infrastructure Engineer

This role involves designing and operating GPU and accelerator infrastructure for AI model training, inference, and experimentation at scale. The engineer will build production-grade systems for scheduling, orchestration, observability, and cost-efficient compute, working closely with ML researchers and product teams. Key responsibilities include optimizing inference pipelines, integrating new hardware and frameworks, and enabling internal teams to efficiently use GPU resources.