Top AI Jobs in Bristol

Lead AI-focused change and adoption programmes: develop strategy, stakeholder engagement, communications, learning pathways, events, champions community, and reporting while tracking risks, adoption, and governance.

Manage the GTM AI Engineering team overseeing automation, AI agent strategy, and integration with sales and marketing for revenue growth.

Lead and manage a cross-functional engineering team to design, build, and operate a high-scale payments app. Drive architecture, delivery, code quality, reliability, observability, and incident response while coaching engineers and improving processes to ship customer-focused products quickly and reliably.

Lead and grow a high-performing engineering team building scalable, customer-facing products. Own engineering delivery, architecture, code quality, observability, incident response, and engineering culture. Partner with product, design, mobile, backend and AI teams to turn ambiguous problems into production systems while coaching engineers and improving processes to deliver reliable, high-quality outcomes.

Lead technical design and execution of products for an AI-enabled payments app. Hands-on coding, architecture, system design, code review, debugging, production ownership, mentoring engineers, improving dev tooling, and collaborating with product, design and AI teams to ship reliable, scalable systems.

Lead technical design and delivery of AI-native email applications. Own architecture and implementation across backend, frontend, APIs, databases and cloud. Stay hands-on writing and reviewing code, debugging production, mentoring engineers, driving major initiatives, improving tooling, and ensuring reliability, security and observability while collaborating with product, design and AI teams.

Lead and manage a cross-functional engineering team to design, build, and operate scalable, reliable payment and AI-integrated products. Own technical architecture, delivery, code quality, observability, incident response, and engineering processes while coaching engineers and driving product-focused outcomes.

Technical lead responsible for designing, building and operating scalable full-stack systems. Hands-on coding, architecture decisions, code reviews, mentoring, cross-team collaboration, production reliability, observability and driving features from concept to production.

Lead and manage a cross-functional engineering team to design, build, and operate scalable, reliable production systems. Own technical architecture, delivery, code quality, observability, incident response, and engineering processes while coaching engineers and driving product outcomes in partnership with product, design, mobile, backend and AI teams.

Lead and scale Mimica's product organisation, define global product strategy and roadmap for AI-driven task/process mining and automation, mentor product and design teams, improve product operations and discovery, align cross-functional stakeholders, handle escalations, and hire and forecast team needs.

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.

Lead end-to-end product design for complex, data-intensive workflows across web, desktop, and mobile. Run user research and validation, craft flows, wireframes, prototypes, and polished interfaces. Partner with product and engineering, use data and design judgment to improve outcomes, and contribute to design systems, patterns, and cross-team collaboration. Advocate for AI-enabled UX where applicable.

Lead customer engagements to design, prototype, and deploy agentic AI-powered CX solutions. Drive discovery, define architectures, implement POCs/MVPs, integrate with CRM/ERP, build evaluation pipelines, apply governance and responsible AI, mentor teams, and codify reusable frameworks to scale AI orchestration across enterprise accounts.

Support productionising AI/ML solutions for Workday products under senior guidance. Collaborate with data scientists and engineers to deploy, monitor, and maintain models using cloud, containerisation, and MLOps practices while following responsible AI and data privacy guidelines.

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

Own and evolve production voice AI systems across telephony, speech, and LLM stacks. Build, ship, and scale phone agents; implement observability, evaluation, and tooling; collaborate cross-functionally to integrate voice AI into product workflows.

Design, develop, and productionize AI/ML solutions within the Workday practice. Integrate models into production, implement MLOps (CI/CD, versioning, monitoring), use cloud AI services and container orchestration, build data pipelines, and collaborate with cross-functional teams to ensure scalable, reliable AI-driven features.

Design, build, and productionize AI/ML solutions within the Workday practice. Collaborate with data scientists and engineers to deploy scalable models, implement MLOps (CI/CD, versioning, monitoring), integrate with enterprise data systems and cloud platforms, and ensure reliability and performance of AI-driven features.

Freelance AI Engineer to design, develop, and deploy AI and machine learning solutions. Responsibilities include algorithm development, data analysis, building production-ready models, and contributing to the platform's AI initiatives in a fully remote capacity.

Hunt and build the EMEA robotics and physical AI business: execute GTM strategy, prospect and open net-new accounts, orchestrate partner ecosystems, lead complex technical-commercial programs from validation to close, run marketing and demand-generation initiatives, and represent the company at industry events. Requires technical advising with engineering teams and up to 25% travel across EMEA.

Build and scale AI-driven automation solutions using LLMs and agent frameworks. Design multi-step workflows, integrate AI with internal systems (HR, finance, legal, ticketing), automate document processing and data extraction, and train internal teams. Collaborate with technical leads, product, and IT to deliver practical, production-ready automation and iterate quickly.

Mentor apprentices on an AI Champion programme by assessing progress, supporting portfolio development and EPA preparation, providing technical advice and regular feedback, contributing to curriculum content, safeguarding learners, and liaising with employers and the Delivery Team to drive AI adoption.

Mentor apprenticeship learners to identify and implement AI-driven workflow improvements, assess progress against the apprenticeship standard, support portfolio and EPA preparation, provide technical support and mentoring sessions, report learner progress, and uphold safeguarding and equality responsibilities.

Work as a quantitative consultant delivering insight programmes that combine advanced analytics, mixed methods and AI to solve client problems. Contribute to analysis, synthesize evidence, build consultancy skills, explore AI tools, support business growth and help shape proposals and client-facing work.

As an AI Product Manager at n8n, you'll develop AI-driven product experiences, coordinate with various teams, and innovate through user-centric design, focusing on AI trust and building.