Top AI Jobs in Bristol

Manage full-cycle recruiting for GTM roles across Sales, Marketing, Customer Success, and related teams. Own 12–15 requisitions, lead intake meetings, build diverse talent pipelines, assess candidates, manage stakeholder expectations, analyze recruiting data, coordinate interviews, deliver candidate communications, negotiate offers, and improve recruiting practices using responsible AI and market insights.

Participate in an eight-week technical sales internship focused on cybersecurity products. Learn product knowledge, technical requirements, sales processes, and certifications; perform hardware and software testing; support technical sales tools and workflows; collaborate with sales and engineering teams; and create technical demonstrations and collateral for customers, partners, and internal stakeholders.

Leads AI transformation, governance, quality oversight, risk management, and responsible adoption across Pfizer Global Supply and QSEO. Establishes GxP-compliant AI lifecycle practices, inspection-readiness frameworks, governance forums, portfolio monitoring, inventory management, metrics, and reporting. Advises senior leaders on AI regulations, deployment risks, investment priorities, and compliance while leading cross-functional initiatives and influencing stakeholders across Quality, Digital, Operations, and R&D.

Drive complex sales opportunities and account growth across existing enterprise clients in the UK. Build executive-level relationships, identify new opportunities, develop account plans, lead internal virtual teams, present value propositions, manage sales cycles, and meet or exceed individual quotas. The role requires selling technically complex cybersecurity solutions and leveraging AI technologies to improve decision-making and business outcomes.

Designs secure, scalable end-to-end integration solutions for banking platforms using REST APIs, OpenAPI, Kafka, cloud, and microservices. Collaborates with business, technology, security, risk, and program stakeholders to align solutions with enterprise architecture roadmaps. Provides technical guidance, supports architecture reviews and governance, embeds architecture practices in development and CI/CD pipelines, documents decisions, and mentors colleagues on architecture methods and best practices.

Own the strategy, roadmap, development lifecycle, and go-to-market activities for fraud analytics products. Lead customer discovery, prioritize product improvements, analyze complex data, collaborate with development and data science teams, and use market and customer insights to improve user outcomes. The role requires fraud prevention expertise, statistical modeling and AI/machine learning knowledge, strong stakeholder communication, and flexible UK-US working hours.

Develop, maintain, and release modern C++ libraries and runtime APIs for Graphcore AI hardware. Design low-level abstractions, improve performance and reliability, debug and test existing code, and own changes through implementation, integration, packaging, release, and maintenance. Create API documentation and migration guidance, support developers across the software stack, resolve integration issues, and collaborate with accelerator software and performance engineering specialists.

Drive strategic technology sales across UK defence accounts by developing account plans, managing complex sales opportunities, building executive relationships, forecasting pipeline, and expanding existing and new business. The role involves positioning infrastructure, networking, software, cloud, and services solutions while collaborating with internal technical teams, channel partners, and defence-sector stakeholders.

Lead end-to-end product design for AI security and agentic experiences within an enterprise cybersecurity platform. Responsibilities include user research, complex workflow and information architecture design, prototyping, validation, design-system governance, Object-Oriented UX, and translating cybersecurity data into intuitive interfaces. The role partners closely with Product, Engineering, and Research, uses customer insights and behavioral analytics to measure outcomes, and advances scalable, accessible AI-powered product experiences.

Graduate Analysts will support procurement, digital transformation, enterprise change, and supply chain consulting engagements. Responsibilities include stakeholder engagement, client workshops, analysis, options appraisals, tool and model creation, project materials, briefings, and client advice. The 12-month programme provides consulting training, mentoring, feedback, and career coaching, with progression to Consultant after successful completion. Applicants need strong analytical, communication, problem-solving, and collaboration skills, must start in January 2027, and obtain UK Security Check clearance.

Provide privacy compliance guidance to Research, Design and Development and Connectivity teams. Integrate Privacy by Design into product development, conduct privacy impact assessments, develop privacy frameworks and training, monitor evolving privacy laws, and support global privacy initiatives. The role advises stakeholders on responsible personal data use and emerging technologies, including artificial intelligence, machine learning, and IoT.

Lead the AI Acceleration Centre, developing frameworks, governance, operating models and capabilities that help technology teams adopt AI-enabled software delivery. Identify and prioritize AI opportunities, implement solutions across business programs, coach delivery teams, and drive enterprise-wide adoption while maintaining security, privacy, architecture and engineering standards. Partner with senior technology, business, risk and governance stakeholders to deliver measurable value at scale.

Owkin seeks spontaneous applications from biologists, clinicians, computational biologists, bioinformaticians, data scientists, and AI scientists working on biomedical questions. Candidates should have advanced training in biomedical sciences, medicine, bioinformatics, or a related field; hands-on biomedical, clinical, or omics data experience; and enthusiasm for applying AI to biology in multidisciplinary teams. Suitable profiles may be considered for current or future opportunities.

Owns new-logo sales for managed data, cloud, and AI services across the full sales cycle. Builds a territory and self-generated pipeline, conducts consultative discovery, develops commercial cases, shapes pricing and contracts, coordinates transitions, co-sells with AWS and Databricks, forecasts recurring revenue, and wins multi-year managed services agreements.

Leads the Wealth Operations function, including platform operations, complex wealth servicing, outsourced platforms, service delivery, risk, controls, and governance. Owns the operating strategy and large-scale transformation agenda, driving automation, AI adoption, workflow digitization, productivity, cost optimization, operational resilience, regulatory compliance, client satisfaction, and commercial outcomes. Partners with Technology, Product, and Commercial teams while developing leadership teams and succession pipelines.

Manage full-cycle technical recruiting for Engineering, Product, Security, UX, and R&D roles. Partner with hiring leaders on role definition, structured interviews, sourcing strategy, market research, candidate assessment, pipeline management, and offer negotiations. Build diverse talent pipelines, use recruiting data to guide decisions, maintain accurate Greenhouse documentation, deliver an inclusive candidate experience, and improve recruiting practices through responsible AI use and shared resources.

Leads complex client software projects through hands-on coding, architecture, solution design, delivery leadership, and project management. Manages and mentors engineers, sets technical standards, oversees planning and risk management, communicates with stakeholders, and drives reliable, scalable outcomes. Builds trusted client relationships, translates business needs into technical plans, contributes to hiring and pre-sales, and supports continuous improvement across consultancy practices.

Leads hands-on client engagements to understand business processes, identify AI and automation opportunities, redesign workflows, build business cases, and translate solutions into implementation plans. Partners with engineers, facilitates workshops, engages frontline teams and executives, validates measurable outcomes, supports proposals, and develops consulting methods. Requires strong process improvement, commercial, storytelling, writing, stakeholder management, and AI prototyping capabilities.

Owns planning, activation, optimization, testing, budgeting, and reporting for paid campaigns across TikTok, Meta, and YouTube. Manages $1M+ budgets, presents data-driven recommendations to clients, tracks platform changes, and partners with strategy and creative teams. The role also mentors a Paid Media Executive and establishes team standards for campaign QA, reporting, naming conventions, and optimization practices.

Leads customer support operations across EMEA and APJ, managing distributed Support Engineers and Managers. Owns regional metrics, escalations, customer sentiment, workforce planning, quality, knowledge management, and talent development. Drives AI adoption in support workflows, improves customer experience, and partners with Product, Engineering, Customer Success, Sales, Renewals, and Professional Services on incidents, retention, and scalable processes. Regularly presents performance updates to executives and travels to Cambridge and across the assigned regions.

Lead the product direction and experience for an AI-native phone. Define user workflows, proactive interactions, and cross-application AI behavior; translate concepts into engineering requirements; collaborate with Android and AI teams; prioritize prototype and launch capabilities; and validate interaction patterns through user research.

Contribute to high-performance C++ libraries and compute kernels for machine learning workloads on Graphcore hardware. Develop operations such as matrix multiplication and convolutions, profile and optimize performance, and create regression tests and numerical checks. Work with engineers on benchmarking, numerical computing, parallel performance, and low-level software while developing practical engineering skills through a supported 12-week internship.

Develop C++ compute libraries and kernels for machine learning workloads on Graphcore hardware. Optimize matrix operations, convolutions, reductions, and fused kernels using profiling and microbenchmarks. Build regression tests and numerical checks to ensure correctness and reliability. The two-year graduate programme provides hands-on experience in performance engineering, numerical computing, parallel execution, and low-level software development with guidance from experienced engineers.

Develops software tests for machine learning workloads on Graphcore accelerator hardware. Responsibilities include creating representative workloads, analyzing numerical accuracy and performance, designing tests, improving test infrastructure, building CI/CD pipelines, debugging issues, and collaborating with development teams to improve software quality. The two-year graduate program provides practical experience across machine learning, automation, performance analysis, and simulated and physical hardware platforms.

Conduct research on AI compute, machine learning algorithms, large language models, efficient inference, numerics, world models, molecule generation, or model safety. Implement models and algorithms in Python or C++, design and analyze experiments using frameworks such as PyTorch, and communicate findings through technical presentations or research papers under experienced mentorship.