Top AI Jobs in Bristol

Build and operate distributed backend services and genomic reasoning engines that combine whole genome bioinformatics with AI. Design scalable data models, retrieval and vector search systems, and deterministic guardrails to ensure scientifically accurate, explainable genomic AI for production use.

Design and build production AI systems and distributed backend services that enable genomic reasoning, retrieval, and data platforms. Integrate genomic annotations and interpretation logic, architect high-performance data models and storage across PostgreSQL, DuckDB, Qdrant, Redis, and Spark. Ensure AI outputs are accurate, explainable, and grounded in genomic evidence while collaborating across engineering and bioinformatics teams.

Lead architecture and delivery for Fortives HR technology ecosystem, owning Oracle HCM, Boomi integrations, ServiceNow HRSD, Eightfold and LMS platforms. Define API-first integration patterns, implement AI/automation use cases, ensure data governance and compliance, and guide integration engineers while partnering with HR and IT stakeholders to modernize HR systems.

Ship real open-source integrations and MCP servers to bring SearchApi to agent and automation frameworks. Create PRs, example apps, docs, and integration guides. Stay current with the agent ecosystem, pick high-leverage targets, and work independently to deliver production-ready integrations.

The Senior AI Transformation Consultant works with clients to identify AI opportunities, define robust business cases, and oversee AI project deployments, ensuring solutions deliver value.

Lead and build Maze’s new AI-native Market Research service: define research vision and methodologies, recruit and manage a research team, own delivery quality, partner with Product/Engineering and GTM, and serve as executive research lead on strategic customer engagements.

The role requires deploying AI solutions and automations for clients, building prototypes, integrating systems, and collaborating with various teams while ensuring effective client interaction.

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.

Create high-quality video content and integrate AI tools into production workflows, combining storytelling and video craft to enhance cinematic quality.

Design, scale, and productionize ML and physics-based scientific code for drug and materials discovery. Transition prototypes to robust products, orchestrate distributed GPU training, implement hardware optimizations, and support model lifecycle and integration into large-scale simulation frameworks.

As a Product Manager, you will lead AI-first pods, drive product roadmaps, prioritize customer needs, and collaborate effectively across teams to deliver AI-powered solutions.

Architect and build agentic workflows combining LLMs, reasoning, and data pipelines. Lead ML/NLP product development from training to deployment, drive experimentation, integrate intelligent agents into recruiting workflows, mentor engineers, and improve reliability, personalization, and observability.

Lead design and delivery of end-to-end AI solutions spanning traditional ML, data science and Gen AI. Identify Gen AI opportunities, provide technical direction, ensure code quality, manage client stakeholders, and mentor delivery teams to produce production-ready outcomes aligned to client needs.

Lead MVP delivery of an AR-powered, culturally sensitive mobile product providing real-time Quranic recitation translation. Define scope, manage ASR/NLP and mobile teams, ensure GDPR/privacy-by-design and Sharia compliance, design reverent Prayer Mode UX, deploy cross-platform with offline/edge support, and track latency, confidence, stability, and accessibility KPIs.

Lead design and deployment of human-machine collaboration strategies, evaluate workflows for AI teaming opportunities, create shared-control frameworks, coordinate with engineers and UX, manage training/change management, measure teaming performance, ensure ethical AI integration, and produce SOPs and stakeholder documentation.

Deliver and operationalize an AI Code of Responsibility and governance for a 35-person, values-driven SME: implement interim AI guidelines, define decision rights, run workshops to protect creative boundaries, produce 3–4 implementation-ready roadmaps (Shopify integration, fabric calculators, PO/SO automation), assess environmental and privacy impacts, create training materials and an AI decision framework, and establish incident reporting and sustainable governance that the team can run independently.

Recruit experienced mid-to-senior AI/ML engineers and data scientists across the MENA region into a remote talent community offering expert sessions, curated professional development, peer networking, and job-matching opportunities. Members engage in learning, leadership, and collaboration to accelerate careers and access top AI roles.

Build a production-ready web crawling and AI lead-qualification application: crawl and extract website content, analyze with LLMs to score/qualify industry-specific leads, produce structured outputs, and deliver a maintainable handover-ready product.

Lead the technical architecture and integration of enterprise-grade AI platforms (semantic search, RAG, generative/agentic systems), embed Responsible AI governance, manage risk/value trade-offs, enable zero-dependency handover through capability uplift, and design energy-efficient AI infrastructure across legacy and multi-cloud environments.

Design and build application-level AI features: implement RAG pipelines, prompt templates, retrieval strategies, and agentic workflows; integrate LLM-based functionality with legacy and multi-cloud systems; run structured evaluations, apply human-in-the-loop guardrails, and produce docs-as-code for handover to government engineers.

Hands-on Lead AI Engineer to design, build, and operate production-grade RAG, semantic search, embedding, and LLM orchestration systems in a UK government programme. Mentor engineers, implement Responsible AI guardrails, ensure security/observability, and enable capability transfer using Docs-as-Code and iterative delivery.

Manage early-stage grantmaking for the Transformative AI Fund: evaluate applications, recommend grants, source opportunities, support grantees, build partnerships, represent the fund, and develop systems and LLM-assisted tooling to improve grant processes.

Build and ship AI-powered, production-grade features enabling analytics and agentic workflows across large datasets. Rapidly prototype, iterate, and dogfood solutions; integrate agent components with internal tools; collaborate cross-functionally while owning scalable, maintainable AI-driven product capabilities.

Lead product marketing for AI and emerging products across the full lifecycle: market research, positioning, pricing, launches, enablement, and growth. Drive GTM strategy, alignment with Product/Sales/CS, and build repeatable frameworks. Use customer insights and AI tools to inform roadmap, messaging, and commercial decisions while scaling adoption and go-to-market execution.

Lead development and execution of a Professional Development Strategy for AI Technical and AI Notified Body teams. Assess training needs from regulatory, standards, audit, and performance outputs; design learning pathways, onboarding, initial training and CPD; oversee competence data to identify gaps; coordinate with leadership to implement capability plans and support competence verification.