Latest deep learning engineer Jobs

PhysicsX logo

Staff Machine Learning Software Engineer, Research

Lead and shape research initiatives in machine learning for physics-based simulation, focusing on scalable and distributed training of foundation models. Translate research prototypes into robust, production-grade systems using cloud and HPC infrastructure, while mentoring junior engineers and guiding technical direction across the Research team.

PhysicsX London, United Kingdom
On-site Permanent
PhysicsX logo

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
NVIDIA logo

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.

Remote Permanent
NVIDIA logo

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.

Remote Permanent

Senior Software Engineer

This role involves developing a scalable neurosymbolic AI platform, focusing on core systems like document ingestion, symbolic reasoning engines, and public API infrastructure. The engineer will solve novel problems at the intersection of LLMs and classical AI, such as encoding regulatory rules and improving system accuracy through feedback loops. Work spans backend development, cloud deployment, and cross-functional collaboration in a high-growth startup environment.

Unlikely AI London, United Kingdom
Hybrid Permanent

Staff Software Engineer

This role involves designing and building a scalable neurosymbolic AI platform that combines LLMs with symbolic reasoning for enterprise applications in compliance and financial services. You'll work on core systems including document ingestion, knowledge representation, and public API architecture, within a cross-functional monorepo environment. The role emphasizes technical leadership, production-quality engineering, and solving novel problems at the intersection of classical AI and modern generative models.

Unlikely AI London, United Kingdom
Hybrid Permanent

Senior Software Engineer, Identity

This role involves designing and building secure identity and access management systems for enterprise-scale AI platforms. The engineer will develop authentication and authorization solutions using standards like SSO, MFA, OAuth, and OpenID Connect, and implement fine-grained access controls such as ReBAC and RBAC. The position offers exposure to cutting-edge AI infrastructure and compliance with major security frameworks.

Scale AI London, United Kingdom
Hybrid Permanent
Isomorphic Labs logo

Security Engineering Manager, London or Lausanne

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.

Isomorphic Labs United Kingdom
Hybrid Permanent
Multiverse logo

Senior Engineering Manager

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.

Multiverse London, United Kingdom
Hybrid Permanent Clearance Required
Newton Colmore logo

Computational Scientist - Deep Tech

Develop advanced computational models integrating mechanistic understanding, machine learning, and digital twin technology to transform complex industrial processes. Work with multidisciplinary teams to build predictive systems using real-time sensor data and drive iterative improvements. Focus on creating intelligent, data-driven platforms with real-world scientific and engineering impact.

Newton Colmore Spain, United Kingdom
Faculty AI logo

Computer Vision Engineer

A Computer Vision Engineer will lead high-impact AI initiatives in the defence sector, designing and deploying advanced computer vision systems that solve real-world challenges. The role involves technical leadership, mentoring, shaping strategic capability, and contributing to business development through cutting-edge research and production deployment. Work spans on-site client collaboration and flexible UK-based remote or office work, with a focus on ethical, reliable AI in sensitive environments.

Faculty AI London, United Kingdom
Hybrid Permanent Flexible Clearance Required
Faculty AI logo

Lead Software Engineer

Lead the technical direction of AI and machine learning projects, designing production-grade systems and guiding engineering teams across the full project lifecycle. Focus on delivering robust, scalable solutions for clients in energy, sustainability, and infrastructure sectors. Drive innovation through reusable tools, architectural leadership, and mentoring across multidisciplinary teams.

Faculty AI London, United Kingdom
Hybrid Permanent
Synthesia logo

Senior Research Engineer - Interactive Avatars

Develop and advance AI-driven interactive avatars using diffusion models, focusing on real-time video generation, audio conditioning, and contextual responsiveness. Work within a research-forward team to translate cutting-edge generative AI into scalable product features. Responsibilities include improving lip-sync accuracy, motion realism, and building evaluation frameworks for long-form interactive video.

Synthesia London, United Kingdom
Remote Permanent
Wayve logo

Principal Engineer, Data & Compute

Design and lead the evolution of large-scale AI infrastructure for training and inference workloads across thousands of GPUs and petabyte-scale data systems. Enable seamless cross-region execution and data federation to support Wayve's embodied AI and autonomous driving research. Provide strategic technical leadership and mentorship across engineering teams.

Wayve United Kingdom US$370,300 – US$418,200 pa
Hybrid Permanent

Forward Deployed AI Engineer

This role involves deploying and integrating generative AI models into pharmaceutical and biotech customers' scientific workflows. The engineer will design production-grade API integrations, data pipelines, and model-serving infrastructure while working on-site to troubleshoot and deliver solutions. The position emphasizes customer collaboration, enterprise-grade deployment standards, and translating real-world feedback into product improvements.

Latent Labs London, United Kingdom, United Kingdom
Hybrid Permanent