Top AI Jobs in Bristol

Build and operate production AI systems for go-to-market teams, including account segmentation, scoring, enrichment, buying-signal detection, agentic workflows, prospect research, outbound personalization, call summarization, and CRM hygiene. Own solutions end to end from design through deployment, while optimizing quality, latency, cost, reliability, evaluation, monitoring, and guardrails. Collaborate closely with Marketing, Sales, RevOps, and system users to deliver measurable commercial impact.

Leads Workday HRIS solution design, configuration, testing, implementation, reporting, security, and support across Core HCM, Talent, and Recruiting. Builds AI-enabled HR automation, ensures data governance and compliance, mentors analysts, manages releases and projects, and advises HR leaders on technology strategy and process improvements.

Build and operate Kraken’s internal AI platform, including governed integrations, authentication, internal tooling, evaluation systems, spend controls, identity and access controls, provisioning, vendor configuration, and policy enforcement. Provide technical enablement through documentation, deep dives, and office hours while supporting teams and administering the enterprise AI estate.

Lead field-facing AI security strategy for enterprise customers by designing secure LLM/RAG architectures, delivering demos and POVs, advising on data protection and unsanctioned AI usage, and scaling enablement and product feedback across sales, product, and engineering teams.

Deliver live workshops and applied labs on AI-assisted visual, video, document, and interactive content production. Demonstrate tools and workflows, guide learners through practical projects, provide structured feedback, and help participants adapt methods to professional environments. Collaborate with the course team to develop templates, exercises, checklists, and case studies while continuously improving course materials based on learner feedback and evolving AI capabilities.

Operate from the CEO Office to translate CEO priorities into execution across product, hiring, licensing, partnerships and market launches. Track OKRs, owners, decisions and blockers; prepare briefs and action trackers; coordinate cross-functional teams; identify and close execution gaps; and own urgent business problems that cut across departments.

Join Welo Data’s global contributor network for flexible, remote AI projects. Depending on skills, contributors may annotate text, images, or audio; evaluate search results, advertisements, and chatbot responses; create prompts; and assess cultural and linguistic accuracy. Projects vary from several days to weeks, with compensation and requirements provided before each assignment.

Design and run ML experiments, implement and optimize algorithms for hardware efficiency, collaborate with researchers and engineers, and publish and present results at AI conferences.

Support and enhance ADI's global compliance program aligned to enterprise risk and ISO 37301. Monitor regulatory developments, update policies, execute risk‑based monitoring and testing, manage investigations and remediation, support audits, develop training and communications, track metrics, and collaborate with Legal, HR, Finance, IT, and Operations to drive continuous improvement.

Leads positioning, messaging, go-to-market strategy, launches, sales and channel enablement for Sophos AI cybersecurity solutions. Develops category narratives, launch assets, competitive intelligence, analyst relationships, customer feedback programs, and partner enablement. Collaborates cross-functionally with product management, research, sales, marketing, and channel teams to translate technical capabilities into differentiated market stories and pipeline outcomes.

Directs the organization’s AI Governance program, developing frameworks, policies, risk assessments, inventories, compliance processes, and responsible AI practices. Partners with Information Security, Data Privacy, Legal, Vendor Management, Ethics, and IT to evaluate AI vendors, review contracts, support audits, provide expert guidance, and deliver training. The role requires expertise in NIST AI RMF, ISO 42001, the EU AI Act, and AI compliance within healthcare or another highly regulated industry.

Build and maintain backend AI capabilities for GitLab Duo Chat: design flow components and agentic flows in Python/LangGraph, integrate LLMs and multi-agent orchestration, implement and maintain APIs in the Rails monolith, improve observability and reliability, and participate in on-call rotations and cross-functional collaboration to deliver safe, scalable AI chat features.

Leads global AI quality, accreditation, and conformity assessment activities, including obtaining EU AI Notified Body designation, developing regulatory processes, and ensuring consistent certification practices. The role advises internal teams and customers, represents BSI in international technical forums, establishes competency criteria, supports regulatory programs, identifies process improvements, and shapes the AI and machine learning business strategy. It requires expertise in global AI regulations, quality management, legislation, technical product areas, stakeholder influence, and people leadership.

Own the full business development and sales cycle across Europe, including prospecting, partnerships, stakeholder engagement, negotiation, contracting, and closing against revenue targets. Develop channel opportunities, support European go-to-market strategies, communicate customer ROI, attend industry events, and collaborate with Marketing, Product, technology partners, and agencies. Track funnel performance, improve acquisition processes, and share market insights while engaging apparel brands and retailers.

Own the technical design, delivery, evaluation, and reliability of multi-component AI systems. Build data pipelines, evaluation frameworks, model-tool boundaries, feedback loops, and internal development harnesses. Ship LLM-backed products, optimize latency and cost, assess external models and datasets, and support APIs, SDKs, and agent-oriented applications. Participate in on-call rotation, conduct code and design reviews, and mentor engineers on evaluation practices.

Manages occupational health and safety programs across multiple European jurisdictions. Responsibilities include overseeing OHS vendors and training partners, coordinating employee health assessments and safety training, conducting internal compliance audits, answering OHS questions, improving procedures, launching new processes, developing policies with People and Legal teams, and protecting confidential employee information.

Own AI cost visibility features end to end, from Go backend services and APIs processing cloud spend data to TypeScript and React interfaces. Define product direction, understand FinOps and AI economics, build scalable cloud software, and use AI throughout development. Lead design reviews, establish engineering standards, mentor peers, and ensure reliability, usability, and measurable customer impact.

Partner with customers after the sale to deploy, integrate, and optimize AI security solutions across cloud, on-premises, and hybrid environments. Provide technical guidance on Docker, Kubernetes, cloud networking, and infrastructure as code; troubleshoot issues; deliver training and documentation; and serve as the primary technical contact. Capture customer feedback and collaborate with product, engineering, and research teams to improve products and support successful scaling.

Lead research and advisory on application security for enterprise applications (ERP/CRM). Produce thought leadership, client-facing insights, presentations, market analysis, and support sales. Mentor analysts, drive research agenda, improve processes, and advise CIOs on security strategy, vendor evaluation, metrics, and vulnerability testing across major vendors (SAP, Salesforce, Workday, Oracle).

Leads AI and automation initiatives across portfolio companies, partnering with executives to identify process improvements, build and deploy prototypes, manage technology partners, develop business cases, and scale reusable solutions. The role requires hands-on workflow automation, prompt engineering, RAG fundamentals, Python, and stakeholder management experience.

Build and operate Typeform’s internal AI Operations capability for R&D. Identify and prioritize AI opportunities, discover workflows, design and deliver AI-native solutions, and manage their lifecycle after launch. Responsibilities include improving enterprise AI tools, coordinating access and governance, evaluating reliability and security, supporting automations and agents, measuring adoption and value, and partnering with Product, Engineering, IT, InfoSec, Finance, and other teams.

Lead discovery, rapid prototyping, and deployment of production-ready AI solutions for supply chain and manufacturing. Build Python-based RAG pipelines, semantic search, multi-agent workflows, data integrations, and enterprise platform connections. Engage frontline operations, translate business needs into technical requirements, manage agile delivery, and ensure prototypes are scalable and transferable to core engineering teams. Work across SAP, MES, shop-floor platforms, databases, telemetry, and unstructured data while collaborating with security, data, and architecture teams.

Leads client-facing AI strategy, discovery, prototyping, product delivery, and adoption initiatives. Partners with senior stakeholders to identify opportunities, build business cases, demonstrate ROI, and implement Generative AI, agentic AI, and Claude-based solutions. Advises on AI governance and organizational readiness, mentors consultants and product teams, supports change management, and contributes to pre-sales and consulting capability growth.

Coordinates the AI Accountability Network’s newsletters, training programs, grants, fellowships, payments, events, communications, and community initiatives. Manages editorial workflows, contractors, applications, logistics, websites, listservs, dashboards, metrics, and stakeholder communications. Supports grant administration, funder reporting, travel, curriculum development, and website publishing while improving processes and tracking program impact.

Build and refine AI-powered prototypes for supply chain and manufacturing operations. Engage with factory and warehouse teams, translate operational needs into software requirements, develop Python-based RAG and agentic systems, integrate APIs and data sources, and iterate prototypes based on frontline feedback. The role involves SQL and document data preparation, agile collaboration, occasional manufacturing-site travel, and progressive adoption of enterprise AI frameworks and production engineering practices.