Top AI Jobs in Bristol

The AI Deployment Engineer manages the technical integration of CrewAI's platform with customers, ensuring successful deployment and customer relationships post-sale while addressing technical challenges and optimization needs.

The Senior Director leads AI transformation in procurement, creating research content, offering actionable insights, and collaborating to drive strategy and change management.

The PhD Research Intern will develop AI and computer vision algorithms for robotic systems, enhance perception, and transition research to production. Responsibilities include collaboration, documentation, and evaluation of research.

Lead AI transformation initiatives in procurement, creating impactful research, developing strategies, and advising clients on AI integration and analytics for business outcomes.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

As a Senior Site Reliability Engineer, you will enhance the reliability and performance of our inference platform, leveraging Kubernetes and Terraform while ensuring smooth scalability of systems under load.

The AI Developer will design, implement, and deploy AI agents and workflows, integrating advanced models and ensuring reliable performance in production environments.

As an AI Implementation Engineer, you'll design AI solutions to enhance business processes, develop automation workflows, and integrate systems, while collaborating with diverse teams.

Provide hands-on deployment, debugging, benchmarking, and optimization of large-scale AI training and inference workloads on NVIDIA GPU clusters. Work with customers and internal teams to identify bottlenecks, improve efficiency, and scale workloads reliably while contributing to resilience features for sovereign AI initiatives across Europe.

The role involves testing and debugging AI clusters, maintaining hardware, and collaborating with development teams to resolve issues across networking components.

Design and deliver complex product features using AI tools, build AI-native workflows, and mentor teams to enhance engineering practices.

As a Technical Lead, you will guide software engineering teams, translate client requirements into applications, ensure best practices, and shape technical direction while mentoring team members.

Serve as a strategic legal advisor in AI and privacy, provide governance, develop sales collateral, and oversee compliance for data protection.

The Senior Applied AI Solution Engineer will design, develop, and lead AI applications, mentor engineers, and communicate with clients to align AI strategies with business objectives.

This role involves managing revenue operations, building analytical tools, redesigning processes, and using AI to optimize workflows while collaborating with cross-functional teams.

The Lead Power Platform & AI Architect will manage the end-to-end architecture, delivery, and governance of intelligent solutions using the Power Platform and AI technologies, while coordinating cross-functional teams and ensuring alignment with editorial standards.

As an AI Solutions Architect, you will consult with clients, design tailored AI security solutions, demonstrate products, and lead proof of concept projects while providing support and training.

The Senior Staff Engineer will focus on automation-first customer problem resolution, providing hands-on technical leadership while collaborating across teams to enhance customer experience and operational efficiency.

The role requires creating insights for finance leaders focused on AI integration in finance processes, conducting research, and advising on AI strategies. It involves engaging with clients, presenting insights, and mentoring junior team members.

Lead the LLM team at EverAI, managing architecture, training, deployment of AI models, and ensuring user experience through effective moderation and alignment strategies.

Design, build and optimise Python-based AI applications and data storage solutions. Collaborate with clients and teams, enforce code quality, CI/CD, testing practices, and deliver scalable production systems across cloud environments while travelling to client sites.

The AI Director will oversee ML bot development and implementation, identify AI opportunities, educate teams, and prototype AI solutions.