Latest Deep Learning Engineer Jobs

Senior Applied Engineer

Develop and scale AI-driven physical foundation models for engineering simulation, bridging research and production. Translate scientific prototypes into robust, distributed ML systems using high-performance computing and cloud infrastructure. Collaborate closely with researchers, engineers, and customers to solve real-world physics and engineering challenges.

PhysicsX United Kingdom

Hybrid Permanent

Staff Backend Software Engineer - Python & GO

Build and maintain a high-performance backend platform for AI-driven, multi-physics simulation used by data and simulation engineers. Work on scalable, observable systems in Python and Go, with ownership from development to production. Collaborate closely with domain experts in engineering and machine learning to enable physics-informed model deployment across aerospace, energy, and advanced manufacturing sectors.

PhysicsX London, United Kingdom

Senior Software QA Test Development Engineer

This role involves developing and automating test frameworks for a distributed system that manages thousands of resources across NVIDIA teams. The engineer will create test plans, automate validation for UIs, APIs, and performance, and integrate testing into CI/CD pipelines. A key focus is leveraging AI and LLMs—such as prompt engineering and fine-tuning—to enhance test automation, generate test cases, and improve QA efficiency across complex cloud and Kubernetes-based environments.

NVIDIA Reading, United Kingdom

Hybrid Permanent

Senior Software QA Test Development Engineer

This role involves developing and automating test frameworks for NVIDIA's large-scale distributed systems, with a strong focus on QA innovation using AI and LLMs. The engineer will design test plans, automate validation across UIs and APIs, integrate testing into CI/CD pipelines, and enhance testing efficiency using AI-driven tools. A key differentiator is the application of LLMs for test generation, prompt engineering, and QA workflow optimization in a high-performance computing environment.

NVIDIA United Kingdom

Platform Engineer

This role involves building and maintaining the MLOps and deployment infrastructure that supports data science teams in transitioning machine learning models from exploration to production. The engineer will work across multiple cloud platforms, design containerised microservices architectures, and implement DevSecOps and infrastructure-as-code practices. Collaboration with customer-facing teams ensures platform solutions are scalable, secure, and effectively integrated into client environments.

Faculty AI London, United Kingdom

Hybrid Permanent

Senior Software Test Engineer

The role involves leading test engineering efforts within a cross-functional product team, focusing on frontend, backend, and mobile applications built on microservices and machine learning. Responsibilities include designing automated test frameworks, driving quality improvements, mentoring team members, and integrating testing into CI/CD pipelines. The engineer will use a mix of open-source and custom tools while advocating for strong test culture and quality practices across teams.

Entrust Portugal

Senior Software Test Engineer

This role involves leading test engineering efforts within a cross-functional team, focusing on designing and implementing automated test frameworks for web, backend, and mobile applications built on microservices and machine learning. The engineer will advocate for quality, mentor team members, and integrate testing into CI/CD pipelines using modern tools and cloud infrastructure. The position emphasizes ownership of test strategy and collaboration with product and engineering to ensure robust, scalable solutions.

Entrust

Staff Software Engineer, AI Reliability Engineering

This role focuses on ensuring the reliability and resilience of large language model serving systems at scale. You'll design service level objectives, build observability tooling, lead incident response, and collaborate across teams to strengthen critical infrastructure paths—from API layers to accelerators. The position demands a systems-thinking engineer passionate about robustness, safety, and cross-team partnership in high-stakes AI environments.

Anthropic London, United Kingdom £325,000 – £390,000 pa

Cloud Support Engineer

This role involves leading the resolution of complex technical incidents for Thought Machine's cloud-native banking platform, supporting both SaaS and self-hosted deployments of Vault. The engineer will drive improvements in observability, automation, and support processes while collaborating closely with engineering and client teams. It requires deep technical expertise in cloud infrastructure, distributed systems, and incident leadership.

Thought Machine London, United Kingdom

Hybrid Permanent

Cloud Support Engineer

Act as a Cloud Support Engineer providing 24/7 technical support for a cloud-native banking platform. Diagnose and triage infrastructure, platform, and application-level issues using observability tools, manage incident resolution, and support clients through product installation, upgrades, and production rollouts. Collaborate with engineering teams to resolve incidents and improve system reliability.

Thought Machine Singapore, Singapore

On-site Permanent Shift-work

Senior/Principal Machine Learning Scientist (Generative Modelling)

Develop generative and predictive models of cellular behaviour using multi-omic and perturbation data, with a focus on causal inference and counterfactual prediction. Collaborate closely with experimental teams to iteratively design and validate hypotheses in wet-lab settings. Work in a highly interdisciplinary environment combining machine learning, biology, and engineering to drive novel therapeutic discovery.

Relation Therapeutics London, United Kingdom

On-site Permanent

Senior Full Stack Software Engineer

This role involves leading the architecture and development of full-stack platforms that translate complex data science and AI insights into production-grade software solutions. The engineer will work closely with data scientists and product managers to build scalable, high-performance systems, particularly focused on visualising AI outputs. Emphasis is placed on technical leadership, mentoring junior engineers, and maintaining rigorous engineering standards across cloud environments.

Faculty AI London, United Kingdom

Hybrid Permanent Clearance Required

Associate Director, Platform Engineering

Lead and develop the platform engineering team responsible for hybrid infrastructure, Kubernetes-based clusters, and scientific compute environments that support machine learning and drug discovery workflows. Define platform strategy, ensure robust CI/CD, observability, and security, and act as a technical leader across engineering and data science. The role involves shaping a developer platform tailored to computational scientists and genomic data pipelines in a high-impact TechBio environment.

Relation Therapeutics London, United Kingdom

Permanent

Senior Specialist Solutions Architect (AI/ML)

Design and implement production-grade machine learning and AI workloads, focusing on MLOps, GenAI, and large-scale data systems. Provide technical leadership during sales cycles, build MVPs, and guide customers in adopting Databricks for AI applications. Mentor teams and contribute to product strategy through customer feedback.

Databricks London, United Kingdom

Hybrid Permanent

Sr. Specialist Solutions Architect

This role involves designing and implementing production-grade machine learning and AI workloads on the Databricks platform, with a strong focus on GenAI, MLOps, and LLMOps. The individual will guide enterprise customers through technical challenges, build MVPs, and lead deep-dive sessions during sales cycles. They will also contribute to product roadmaps, create technical content, and drive AI thought leadership through conferences and hackathons.

Databricks London, United Kingdom

Hybrid Permanent