Top AI Jobs in Bristol

The role involves training and evaluating AI models by completing tasks related to research design and methodology. Candidates must possess experience as a Research Scientist and a strong understanding of scientific analysis.

The role requires lawyers to train AI models using their legal expertise by evaluating AI performance and providing feedback on tasks such as contract interpretation and legal research.

The AI Training Specialist will train and evaluate AI models by performing tasks like analyzing and annotating data, and improving AI performance.

As an AI Training Specialist, you'll train and evaluate AI models by completing tasks that involve analyzing and annotating data, thereby improving AI performance.

AI Trainers will complete tasks involving analyzing, editing, and annotating data to improve AI models with real ML expertise, including performance evaluation and providing technical feedback.

Seeking a Mid/Senior AI Cinematic Video Editor to produce narrative-driven video content using AI tools, manage production workflows, and ensure visual coherence in storytelling.

Manage multilingual data collection and Large Language Model evaluation projects, ensuring quality assurance and effective global team coordination.

The Lead Backend Engineer will design scalable backend systems, mentor engineers, integrate AI, and define architecture for Midnite's back office platform.

The Senior Fullstack Engineer will develop fullstack features for Midnite's internal platform, collaborate on AI improvements, and mentor junior engineers.

The Senior Product Designer will lead product design for AI-powered workflows, collaborating with teams to enhance user experience and create end-to-end flows for marketers. Responsibilities include facilitating design reviews, ensuring design quality, and advocating for AI tool integration in workflows.

The Senior Azure AI Consultant delivers advisory services for AI capabilities, focusing on Microsoft AI platforms. Responsibilities include leading engagements, designing solutions, and acting as a trusted advisor to clients.

The Senior AI/ML Engineer will design, develop, and deploy language models for African languages, focusing on NLP applications and cultural context.

Join Verve as an Insight Associate, focusing on AI-powered market research. Learn to design research, interpret human behavior, and contribute to client projects using AI tools.

The AI Implementation Engineer delivers and stabilizes AI solutions in customer environments, ensuring integrations and workflows meet requirements while coaching customer teams during critical phases.

The Senior .Net Developer will enhance SDG's C#/.NET Core codebase, design high-load services, and optimize MS SQL queries, benefiting from a remote work environment and attractive benefits.

The AI Engineer will develop and maintain AI infrastructure, implement ML solutions, curate datasets, and collaborate with teams to enhance products.

The AI Creative Designer creates high-quality, AI-generated visuals for marketing campaigns, collaborating with teams to optimize visual content for conversion rates.

The role focuses on deploying AI SDR agents and optimizing sales processes through automation, enhancing productivity across the revenue team while requiring hands-on experience in AI implementation in B2B sales environments.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

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

Design and ship production agents and reusable skills on ClickStack. Own the agent stack (context engineering, tools, MCP servers), integrate with ClickHouse telemetry, build SDKs and observability, optimize latency/cost, run evals, and collaborate with open-source contributors and customers.

Lead design and implementation of high-performance agent runtimes, backend services, and self-hosted model/agent infrastructure. Build low-latency execution systems, real-time data pipelines, telemetry loops, CI/CD for zero-downtime deployments, and ensure fleet reliability on AWS/EKS.

Test and validate Spanish (Mexican) voice AI agents, review recordings and transcripts, identify language/pronunciation and workflow issues, provide structured feedback, and support live customers via email/tickets during US Pacific Time business hours.

Lead AI-enabled financial planning and strategic analysis, build data-backed business cases, refine unit economics, deliver executive-level insights, integrate ML into FP&A, and track KPIs to drive profitability and strategic decisions.

Design, implement, and optimize AI-driven solutions across the claims lifecycle (intake, investigation, adjudication). Build ML models for data extraction, fraud detection, reserve setting, subrogation, and adjudication decision engines. Collaborate with underwriting, fraud, legal, and IT to integrate models into operations and improve efficiency, accuracy, and compliance.