Top AI Jobs in Bristol

Manage business relationships with GSIs in EMEA, focusing on AI-enabled services and program development partnering with NVIDIA solution architects. Drive sales strategies, track progress, and foster collaboration among teams.

Design and build scalable Azure-based AI platform capabilities (APIs, integrations, model serving) to support Agents, RAG, and LLMs. Produce high-quality technical designs, develop reusable platform components (AI gateways, orchestration services), optimize performance, cost and scalability, and collaborate with architecture, engineering, and product teams to enable enterprise AI adoption.

Lead and mentor AI/ML engineering teams to design, build, deploy, and monitor production ML and LLM solutions. Collaborate with clients and cross-functional teams, define project scope, ensure model governance and responsible AI, implement MLOps/CI-CD pipelines, and continuously evaluate and improve model performance.

Lead strategic engagements to accelerate adoption of Genesys AI and Experience Orchestration. Advise C-level stakeholders, shape AI use cases, run customer workshops, support sales enablement, pricing, proposals, and pilots, and partner cross-functionally to drive measurable AI-powered customer experience outcomes.

The Research Manager will lead AI-powered insight projects, manage client relationships, oversee team execution, and innovate using AI tools to improve insights delivery.

The role involves embedding in enterprise accounts to solve procurement problems using AI, managing customer relationships, and developing AI agent solutions.

As a Senior AI Research Scientist, you will lead AI research in LLM, MLLM, and computer vision, developing models and algorithms for real-world applications, while mentoring junior scientists and contributing to publications.

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

The AI Engineer - FDE develops GenAI solutions, deploys machine learning applications, advises customers, and collaborates within teams to influence product strategy.

Lead independent research on LLM evaluation, alignment, and synthetic data generation. Design and run rigorous experiments, build scalable evaluation frameworks and research infrastructure, apply fine-tuning and model optimization techniques, publish and open-source work, and collaborate with engineers and product teams to translate research into production-ready tools.

Support Shopify administration and Flow automations, maintain Google Apps Scripts and API integrations, manage access and SaaS subscriptions, configure Recharge subscription flows, and document processes. Use AI tools (Claude, ChatGPT) and n8n to build automations, test end-to-end, and liaise with vendors and internal teams to keep e-commerce systems running smoothly.

The AI Platform Engineer leads the development of production AI agents and components, collaborates on AI implementations, and maintains AI systems for reliability and observability.

Lead the product strategy for AI agent testing and observability, ensuring tools for testing agent behavior and quality scoring are user-friendly for non-technical users in B2B environments. Coordinate across multiple teams to deliver integrated solutions.

The Software Engineer will shape AI governance in developer tooling, build product features, collaborate with teams, support users, and innovate rapidly.

Lead AI strategy and enablement at Primer, ensuring AI adoption across functions. Coach teams on AI workflows and measure impact effectively.

The Senior Product Manager will lead AI product strategy at CoinMarketCap, focusing on user needs and data analysis to drive product development.

The AI Video Editor will develop and produce performance marketing videos, collaborate with various teams, and innovate video production processes while maintaining brand consistency and optimizing video performance based on data.

Lead technical initiatives for Generative AI in logistics, design architecture, implement evaluation pipelines, and mentor engineers.

The role involves developing sophisticated LLM-powered autonomous agents, integrating intelligent services, and ensuring systems' scalability and reliability. Responsibilities include architecting AI modules, leading agile sprints, and monitoring production lifecycle with CI/CD roles.

Drive AI-led innovation across UK and international business: research AI trends, identify and prototype use cases, guide initiatives through AI governance, evaluate vendors and platforms, collaborate with product/data/tech teams to implement and scale solutions, maintain AI Academy content, and document designs and support procedures.

The AI Research Engineer will develop AI models to enhance product autonomy, analyze extensive data, and deliver impactful solutions, driving innovative product features.

Manage AI tooling operations, ensuring reliability and performance of AI tools. Drive improvements and uphold technical standards across the AI stack as technology evolves.

As a Senior AI Engineer at Savanta, you will develop production-grade AI applications using C#, .NET, and Azure while collaborating with cross-functional teams to implement AI-driven features and enhance engineering capabilities.

As a Curriculum Manager, you will manage the content development lifecycle, collaborate with instructors, and improve data science curriculum, ensuring technical accuracy and pedagogical effectiveness.

Lead product execution for Ping Identity's Identity for AI solution: define strategy, prioritize features, gather market and customer requirements, produce technical requirements, manage roadmap and backlog, collaborate with engineering, design, sales and marketing, enable go-to-market, and leverage AI tools to improve product workflows and delivery.