Top AI Jobs in Bristol

As a Research Scientist, you will design experiments, collaborate with engineers, and advance AI research focusing on embodied AI and world models.

As a Research Scientist at Graphcore, you will advance AI research by designing experiments and collaborating with engineers on AI hardware developments while addressing embodied AI challenges.

Design and implement large-scale AI/ML systems using LLMs and RAG. Develop data pipelines, optimize models, and collaborate with teams on actionable intelligence solutions.

The role involves testing AI/ML systems, creating workloads, building CI/CD pipelines, and improving test strategies while collaborating with development teams.

The Managing Consultant will deliver Human Factors projects, ensuring effective collaboration, technical leadership, and management of safety improvement programs, while mentoring juniors and supporting business development.

Manage and grow AI influencer brands by refining identities, optimizing content strategies, and driving performance across social platforms, focusing on audience connection and engagement.

Lead research and produce actionable insights for CIOs in Financial Services on IT risk strategy, cybersecurity, AI and vendor selection. Advise clients, present at events, shape research agenda, mentor analysts, support sales, and publish thought leadership that drives client decision-making.

Responsible for leading post-silicon validation for AI SoCs, ensuring reliability and quality of new silicon. Collaborates across teams to resolve issues and improve validation processes.

Samsara seeks a Staff Software Engineer to lead technical design and architecture on the Fleet Safety team, improving driver safety through software for enterprise fleets. Responsibilities include developing applications, designing systems for event tracking, and addressing production issues.

Define the strategic vision for the Video-Based Safety platform, integrating AI and Computer Vision to enhance safety and efficiency in physical operations. Lead cross-functional teams and mentor product managers while driving innovation in a rapidly growing company.

As Senior Product Manager for Video-based Safety, you will define, own, and execute the product strategy involving AI/ML models to enhance safety outcomes, collaborating with engineering and design teams.

As a Senior Machine Learning Engineer, you'll design evaluation frameworks, lead ASR quality improvements, and develop ML models for speech recognition and NLP tasks, ensuring integration into production systems.

The Channel Sales Manager will focus on driving revenue growth through strategic partnerships, managing partner relationships, and closing complex identity deals, while exceeding revenue targets.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

Manage end-to-end delivery of public safety software implementations from contract signature through go-live and into service. Coordinate internal and external teams, third-party contractors and customer stakeholders, track milestones, budgets and risks, run senior boards, manage escalations and ensure delivery to required quality, time and cost.

Lead the delivery of AI solutions, oversee data science lifecycle, mentor junior staff, and promote ethical AI practices.

Lead AI & Automation initiatives to enhance customer journeys, manage product backlogs, mentor team members, and ensure quality delivery of self-service solutions.

Provide technical support as a Senior Software Engineering Resolution Engineer, focused on high-performance computing and Linux troubleshooting, while coordinating with multiple teams and mentoring less-experienced staff.

The Software Engineering Resolution Engineer provides level 3 support for high-performance computing solutions, troubleshoots issues, analyzes Linux environments, and collaborates with various teams to resolve customer problems.

As a Software Engineer, AI, you'll train large-language models by comparing, ranking, and refining AI-coded snippets, while providing feedback for reinforcement learning.

Train large-language models (LLMs) by evaluating, ranking, repairing, and refactoring code. Provide detailed feedback and maintain the RLHF pipeline.

The Software Engineer will analyze, rank, and improve AI-generated code, providing feedback for reinforcement learning in a remote role.

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.

As a Software Engineer, you will help train large-language models in code evaluation and training, focusing on Ruby, with an emphasis on code review and improvement.

Train large-language models to improve code quality by comparing snippets, providing feedback, and refining AI-generated code. Requires strong communication skills and attention to detail.