Machine Learning Jobs in Reading

Open roles
5
Hiring companies
2
Live jobs

5 live roles

NVIDIA logo

Senior Software QA Test Development Engineer

This role involves developing and automating test frameworks for a large-scale distributed system used across NVIDIA teams. You'll 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 to enhance test automation, including prompt engineering, fine-tuning models, and building AI-powered test generation tools, with strong collaboration across engineering groups to improve QA efficiency and product quality.

NVIDIA Reading, United Kingdom
Hybrid Permanent

Forward Deployed Engineer, Agentic Platform

This role involves building and deploying autonomous AI agents on Cohere's North platform, integrating them with enterprise data and workflows. You'll work closely with client engineering teams to deliver secure, high-performance agentic applications in sectors like finance and healthcare. The role spans the full product lifecycle, from concept to production, with a focus on rapid experimentation and customer-driven development.

Cohere Shinfield, RG2 9BT, United Kingdom
Hybrid Permanent
NVIDIA logo

Senior Embedded Architect Manager

Lead the design and implementation of security architecture for next-generation NVIDIA Networking products, combining hardware and software solutions. Drive innovation in secure computing platforms using hardware security primitives and collaborate across internal teams and external partners. Focus on embedded systems, low-level firmware, and secure boot architectures with a strong emphasis on research, standards compliance, and threat mitigation.

NVIDIA Reading, United Kingdom
On-site Permanent
NVIDIA logo

Senior Developer Relations Manager, ISV

This role involves driving adoption of NVIDIA's AI and computing platforms among independent software vendors and developer communities. The Senior Developer Relations Manager will act as a technical advocate, supporting partners with integration, enabling solutions using NVIDIA's stack, and translating field feedback into product insights. Emphasis is placed on technical engagement, ecosystem growth, and cross-functional collaboration to accelerate AI-driven innovation in targeted verticals.

NVIDIA Reading, United Kingdom
NVIDIA logo

Principal AI Developer Technology Engineer

Research and develop GPU-accelerated techniques for deep learning, machine learning, and AI workloads, focusing on performance optimization across CPU and GPU architectures. Collaborate with experts in industry and academia to analyze and enhance complex AI and HPC algorithms. Contribute to shaping next-generation hardware and software by influencing design through deep technical insights and published findings.

NVIDIA Reading, United Kingdom

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