Latest Distributed Ledger Jobs

Sr. Software Engineer, Cloud Platform , London)

Design and implement cloud platform features for marketplace integrations using Foundry, ensuring seamless discoverability and search capabilities within the AISOAR platform. Innovate on platform services by identifying customer needs, integrating with cybersecurity solutions, and maintaining high availability using cloud-native technologies like Kubernetes, Kafka, and AWS/GCP. Troubleshoot complex issues using observability tools and contribute to a security-first, AI-driven engineering culture.

CrowdStrike London, United Kingdom

Hybrid Permanent

Sr. Software Engineer, Cloud Detection , London)

Design and scale backend services for a next-generation security detection platform processing internet-scale data streams. Focus on building resilient, high-performance systems using distributed technologies to enable real-time threat detection across the Falcon ecosystem. Collaborate across teams to innovate and improve platform architecture and execution.

CrowdStrike London, United Kingdom

Hybrid Permanent Clearance Required

Senior Software Engineer, RL Post-Training Frameworks

Architect and build scalable reinforcement learning post-training infrastructure that integrates training, inference, and rollout across heterogeneous hardware. Work across the full stack—from deep learning frameworks to distributed runtimes—optimizing performance and reliability for large-scale AI workloads. Collaborate with researchers, framework teams, and hardware partners to enable next-generation AI capabilities.

NVIDIA

Remote Permanent

Senior Software Engineer, RL Post-Training Frameworks

This role involves designing and building scalable reinforcement learning post-training infrastructure that supports the full lifecycle of RL workflows, from experimentation to production at scale. The engineer will optimize distributed training-inference-rollout loops across heterogeneous hardware, contribute to open-source RL frameworks like VeRL and TorchTitan, and collaborate with research and hardware teams to shape future AI capabilities. Key challenges include fault tolerance, elastic scaling, and efficient coordination of actor-critic-reward models in complex distributed environments.

NVIDIA

Remote Permanent

Data Science - Manager

Lead a team of data scientists who deliver experimental and observational analysis to accelerate the development of Wayve’s end-to-end AI for autonomous vehicles. Drive evals and insights from real and simulated driving data, enabling engineering teams to rapidly iterate and meet customer commitments. Scale impact through people, tooling, and automation in a fast-paced, innovative environment.

Wayve London, United Kingdom

Staff Cloud SRE – AI/ML Platform & GPU Compute

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.

Wayve London, United Kingdom

On-site Permanent

Senior Machine Learning Infrastructure Engineer, Research

This role involves building and operating scalable ML infrastructure for training and serving large physics models, with a focus on distributed training optimization, data pipeline performance, and model deployment. You'll work closely with research scientists and ML engineers in a high-impact R&D environment, solving systems-level challenges in GPU clusters and HPC workflows. The position emphasizes end-to-end ownership of research infrastructure, reproducibility, and developer experience for fast iteration.

PhysicsX United Kingdom

CFD Multiphase & DEM Engineer

This role involves developing high-fidelity multiphase CFD models for industrial applications in bioprocess and chemical engineering, integrating them with AI-driven simulation workflows. The engineer will work end-to-end on multi-physics simulations, from geometry and meshing to solver development and validation against experimental data. A key focus is automating and scaling CFD workflows to enable design optimisation and support machine learning pipelines in collaboration with clients across advanced industries.

PhysicsX United Kingdom

Hybrid Permanent

Senior Security Engineer (AI Safety), London, Lausanne

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.

Isomorphic Labs United Kingdom

Hybrid Permanent

Sr. Forward Deployed Engineer - Architect - Full Stack

Lead the design and implementation of production-grade data and AI systems for strategic customers using the Databricks platform. Work hands-on to architect end-to-end solutions combining data engineering, machine learning, and application development while embedding with customer teams to drive adoption and impact. Contribute reusable frameworks and influence product direction through direct customer feedback.

Databricks London, United Kingdom

Senior Forward Deployed Engineering - Architect

This role involves working directly with enterprise customers to design and implement end-to-end data and AI solutions on the Databricks platform. The engineer leads architectural decisions, builds production-grade systems, and integrates data pipelines with ML/AI models and applications. Emphasis is placed on customer collaboration, reusable solutioning, and influencing product development through real-world feedback.

Databricks London, United Kingdom

Hybrid Permanent

Research Scientist/Engineer - Multimodal AI & LLM

Research Scientist / Research Engineer - Multimodal AI & Large Language ModelsLocation: LondonSalary: £(phone number removed) per annum + permanent benefits + bonusJob Type: Permanent, Full-Time, On-siteAbout the OpportunityWe are partnering with an innovative research organisation at the forefront of...

Adecco London, United Kingdom

ML Platform Engineer

This role involves designing and improving the ML platform systems that support model training, evaluation, and production serving at scale. The engineer will build infrastructure and internal tooling to enhance reliability, scalability, and automation, with a focus on reducing operational overhead for researchers and product teams. Work includes developing agentic workflows, optimizing GPU-based workloads, and improving observability and developer experience across distributed systems.

Synthesia London, United Kingdom

Remote Permanent

Principal ML Platform Engineer

Design and evolve the ML platform infrastructure for training, serving, and deploying generative models at scale. Build reliable, automated systems and internal tooling to reduce operational overhead for researchers and engineers. Work across distributed systems, Kubernetes, and cloud environments to improve scalability, observability, and developer experience in a high-growth AI company.

Synthesia London, United Kingdom

Remote Permanent

Applied Scientist I

This role involves developing and training advanced machine learning models for digital identity verification, with a focus on areas like deepfake detection, bias mitigation, document understanding, and efficient on-device ML. The candidate will conduct research, build multimodal models using synthetic data, optimise training performance across GPUs, and collaborate with engineering teams to deploy solutions globally. Work includes creating large-scale datasets, benchmarking vision-language models, and improving fairness in biometric systems.

Entrust London, United Kingdom