Top AI Jobs in Manchester

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.

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.

Lead and grow a team of 5-8 AI engineers to design, build, and deploy conversational, generative, and agentic AI systems. Own delivery roadmaps, collaborate with product and platform teams, establish AI engineering best practices, build CI/CD and evaluation pipelines, and communicate technical progress and risks to senior leadership.

Lead delivery of AI-powered insights for clients, manage relationships, and drive commercial growth while innovating technical workflows.

As an AI Creative Producer, you'll develop and scale AI-generated content across various platforms, collaborate with teams, and enhance production workflows.

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.

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.

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.

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.

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.

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.