Top AI Jobs in Manchester

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.

Own and drive the AI SDR program end-to-end across regions: set direction, optimize agent-human handoffs, improve pipeline and ROI, automate reporting, resolve SDR pain points, and launch new agentic programs. Partner with ops and sales teams to target enrollment, define workflows, and prove measurable impact.

As a Technical Product Manager (AI), you'll manage projects, prototype tools, and enhance AI insights for decision-making at Verve.

Lead design and scaling of legal AI evaluation frameworks and benchmarks, build and maintain datasets, audit and score AI legal outputs, define metrics focused on reasoning and citation accuracy, and collaborate with engineering to translate legal errors into model fine-tuning feedback.

As an AI Automations Engineer, you will design and build tooling for GTM, Operations, and Finance teams, automating processes and enhancing systems with a focus on AI.

This role leads CX automation and AI initiatives, builds AI agents, manages complex programmes, and enhances operational tools for team effectiveness.

Own full enterprise GTM lifecycle for a GenAI SaaS product: prospecting, discovery, demos, pilots, negotiations, closing, and expansion. Map creative workflows, design pilots with success metrics, manage complex multi-stakeholder sales cycles, coordinate contracts and security reviews, and build repeatable GTM processes while feeding customer insights back to Product and Leadership.

As the primary engineer for Aperture OS, you will own the full codebase, drive feature development, manage API and AI integrations, and ensure security and scalability in a multi-tenant SaaS environment.

Build and ship AI-native systems for a fintech neobank: AI agents, RAG/LLM apps, tool-calling and automations to improve onboarding, KYC, support, risk review, CRM and operations, focusing on reliability, latency, cost, security and compliance while collaborating with product and engineering teams.

The role involves creating research content, providing insights in Analytics and AI, engaging with clients, and mentoring team members. A strong focus on industry trends and effective presentation skills is required.

Design, build and optimise Python-based AI applications and data storage solutions. Collaborate with clients and teams, enforce code quality, CI/CD, testing practices, and deliver scalable production systems across cloud environments while travelling to client sites.

The Business Development Rep will qualify clients and manage outreach in AI Cloud sales, engaging technical audiences and developing partnerships.

The role involves designing and developing AI-powered solutions for complex enterprise problems, integrating AI capabilities, and collaborating with various teams. Candidates need strong analytical, algorithmic, and engineering skills in AI and ML.

Architect and build a production, self-improving learning platform: capture event pipelines, measure outcomes, implement recommendation and feedback loops, maintain knowledge graphs and vector stores, build feature stores and experimentation infra, and create evaluation frameworks. Spend majority time coding and shipping resilient systems while providing technical leadership and shielding the engineering team.

Lead design and implementation of scalable AI-centric systems for offensive security, develop agentic AI capabilities (LLMs, RAG), own feature lifecycle to production, mentor engineers, run design reviews, and integrate AI into microservice architectures with cloud, container, and messaging technologies.

The AI Business Development Manager will engage with clients, identify sales opportunities, manage client relationships, and convey complex AI standards and services effectively.

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

Senior commercial role to originate, qualify, and convert GPU compute demand across Armada's AI factory and Leviathan deployments. Build and manage a pipeline of offtake, anchor tenancy, and reserved capacity deals; map customer requirements to deployable infrastructure; shape commercial structures and go-to-market; and provide market intelligence to inform site selection, capacity planning, and product strategy.

Build and ship AI-driven GTM systems: outbound lead engine, inbound/lifecycle automations, AI-assisted content pipeline, data/reporting layer, and fast production patches to eliminate manual marketing workflows.

As a Senior Python Backend Engineer at VidRush, you'll build AI-driven video production systems, ship production-level ML/LLM services, and work closely with product teams while ensuring high autonomy and delivery speed.

Lead development of an autonomous agentic AI scientist for drug discovery: architect multi-step reasoning agents, bridge AI and wet-lab experiment design, prototype to productionize agentic systems, publish research, and collaborate with biological experts.

Drive the expansion of software development and AI services by managing client relationships, building sales pipelines, and negotiating contracts.

Author and iterate curriculum for experienced engineers transitioning to system architecture: validate syllabus, define measurable learning objectives, produce and fine-tune lessons with AI tools, design hands-on projects and rubrics, respond to LX feedback, and deliver milestone-based content over a 4–6 month, 15–20 hr/week engagement.

Lead enterprise sales for Everpure's AI/HPC data infrastructure, driving large deals with F1000 companies. Build executive relationships, lead cross-functional pursuit teams, influence product roadmap, manage a pipeline to exceed revenue targets, and evangelize all-flash storage and data pipeline solutions for AI workloads.