Top AI Jobs in Manchester

Drive new enterprise business and strategic account growth for Anthropic consulting, implementation, and advisory services. Responsibilities include territory planning, prospecting senior technology and business leaders, building pipeline, positioning AI solutions, leading complex sales cycles, developing proposals, managing executive relationships, maintaining CRM data, and exceeding revenue targets.

Build and scale 1Password’s Commercial Deal Desk within Revenue Operations. Partner with Sales, Finance, Legal, and cross-functional teams on complex deals, advising on pricing, terms, discounting, approvals, renewals, and amendments. Execute accurate quotes and contracts in Salesforce CPQ/Revenue Cloud, develop approval workflows and commercial policies, create playbooks and training, and improve quote-to-cash processes through automation, AI, and data-driven analysis.

Leads enterprise technology strategy, delivery, and transformation across Finance, FinTech, Legal, and Risk. Oversees product platforms, Agile and DevOps adoption, AI and data initiatives, digital transformation, change management, vendor partnerships, governance, and technology operations. Partners with executive stakeholders to align global priorities, integrate platforms, manage dependencies, and deliver scalable, secure, value-driven outcomes across a federated enterprise technology organization.

Lead enterprise AI solution architecture across reusable capabilities, defining engineering patterns, integration designs, deployment strategies, security controls, monitoring, lifecycle management, and technical standards. Partner with application, platform, infrastructure, data, DevOps, security, and delivery teams. Contribute hands-on to proof-of-concepts and production AI solutions while guiding technology adoption and enterprise AI roadmap decisions.

Evaluate AI coding-agent interactions for quality, engineering judgment, reasoning, explanations, and user trust. Provide clear written feedback, distinguish response-quality levels, help define evaluation standards, and record short video explanations. The role requires senior-level software engineering experience, strong TypeScript/JavaScript or Python skills, familiarity with OpenAI Codex, Claude Code, or Cursor, and excellent English communication.

Build and scale AI-driven automation solutions using LLMs and agent frameworks. Design multi-step workflows, integrate AI with internal systems (HR, finance, legal, ticketing), automate document processing and data extraction, and train internal teams. Collaborate with technical leads, product, and IT to deliver practical, production-ready automation and iterate quickly.

Own analyst relationships and engagement across cybersecurity, data protection, backup, disaster recovery, and MSP markets. Manage analyst briefings, evaluations, research submissions, executive preparation, and analyst intelligence programs. Partner with Product Marketing, Product Management, Communications, Sales, and leadership to strengthen market positioning, translate complex technology into compelling narratives, inform go-to-market strategy, and measure analyst relations performance.

Drive responsible AI adoption across the organisation by identifying automation opportunities, facilitating process-mapping workshops, training colleagues, developing guidance, and prototyping AI-powered solutions. The role builds an AI champions network, manages an opportunity pipeline, establishes governance guardrails, and collaborates with the Data, Systems & GIS team to implement internal tools. It is fully remote with travel for workshops and in-person collaboration.

Manage consulting engagements for energy network clients across capital delivery, asset management, operating model improvement, field operations, and digital transformation. Shape improvements across people, processes, technology, governance, and performance management. Help clients deploy pragmatic data and AI solutions, mobilize delivery, land operational change, and develop proposals and client relationships. The role requires utilities or asset-intensive industry experience and involves travel to client sites, typically one to two days per week.

Leads AI and data security architecture across a global healthcare organization. Defines secure AI adoption patterns, governance frameworks, security controls, and standards; conducts threat modeling and architecture reviews; assesses cloud platforms, APIs, suppliers, and AI solutions; manages emerging AI risks; and advises senior stakeholders on security, privacy, and responsible innovation. Partners with technology, data, legal, clinical, and risk teams to protect sensitive personal and clinical data.

Build BLP’s core software across infrastructure, backend, machine learning, and product extension platforms. Responsibilities include operating secure and observable cloud infrastructure, developing performant distributed systems, applying AI to business problems, and enabling customer process automation. The role emphasizes formal reasoning, correctness by construction, maintainable systems, type systems, and functional programming. Work is available onsite in Zurich or remotely within Europe.

Build and operate production AI infrastructure powering intelligent agents at scale. Develop high-performance Rust services for model inference, orchestration, and execution; design scalable distributed systems; establish MLOps, observability, guardrails, and failure recovery; and optimize latency, throughput, reliability, and cost. Partner with agent systems and infrastructure teams to turn prototypes into hardened services serving millions of users.

Build and deploy reliable, measurable, and safe AI agents for real business workflows. Work within Marketing Engineering and growth pods to identify problems, develop end-to-end solutions, evaluate LLM performance, and measure business impact. The role involves productionizing agent systems beyond demos, using Python, SQL, LLM APIs, and orchestration tools, with potential integration into go-to-market data and marketing systems.

Lead the strategy, vision, and multi-quarter roadmap for Elastic’s vector database, embedding and reranking capabilities, hybrid retrieval, and AI search use cases. Conduct market and competitive research, define product metrics, prioritize features, and partner with engineering, cloud, and applied research teams. Guide technical trade-offs involving recall, latency, index size, ingestion throughput, model lifecycle, retrieval quality, and total cost of ownership across serverless and self-managed deployments.

Conduct research, market sizing, forecasting, competitive analysis, and thought leadership on enterprise AI services. Develop actionable insights for technology providers and senior executives through published research, presentations, conferences, and client engagements. Assess market trends, demand drivers, customer behavior, and growth opportunities while advising clients, supporting sales, reviewing content, mentoring analysts, and improving research processes.

Build and deploy production-grade AI solutions, including LLM agents, multi-agent workflows, RAG systems, classical ML, and speech models. Develop reliable, secure, observable, and scalable AI platforms using strong software engineering and MLOps practices. Own solutions from client scoping through monitoring and continuous improvement, collaborate with technical and business stakeholders, mentor engineers, and drive innovation in enterprise AI.

Own new-business sales across pharmaceutical, biotech, CRO, VC/PE, and life sciences accounts, with emphasis on North America. Build target-account relationships, generate pipeline, lead consultative discovery, develop proposals and pilots, negotiate contracts, and close complex multi-stakeholder opportunities. Collaborate with technical sales, product, delivery, legal, finance, marketing, and partnerships teams while maintaining accurate CRM forecasts and feeding market insight back into commercial strategy.

Lead hands-on development of production-grade AI systems, including RAG pipelines, semantic search, embedding infrastructure, LLM orchestration, and integrations with legacy and multi-cloud environments. Establish engineering standards, mentor developers, implement responsible AI guardrails, and ensure secure, observable, reliable deployments. Support knowledge transfer to government engineers, promote sustainable AI practices, and work with multidisciplinary public-sector teams. The role is hybrid in Newcastle and requires weekly travel there, UK-only system and data access, and BPSS clearance.

Lead Clio’s product portfolio and customer experience for France, driving localization, regulatory readiness, multilingual support, and market expansion. Own the roadmap, coordinate cross-functional teams, influence central platform priorities, and deliver SaaS products for French legal professionals. Apply knowledge of French civil law, legal-market regulations, AI-enabled product practices, system design, and internationalization to launch and scale compliant solutions.

Lead enterprise-scale Dynamics 365 CE and Power Platform solution architecture from strategy through delivery. Design integrations, data models, security, environments, DevOps and ALM approaches while ensuring scalability, resilience and performance. Facilitate technical discovery and architecture reviews, advise senior client stakeholders, establish governance and reusable patterns, guide technology strategy, and mentor architects and senior consultants across complex Microsoft consulting programmes.

Review, draft, and negotiate complex client-facing commercial, technology, and AI-related contracts. Provide practical legal advice, ensure regulatory and policy compliance, mitigate risks, support governance and General Counsel Office projects, and improve contracting processes through legal technology and contract-management tools. The role also involves people management, cross-firm collaboration, stakeholder influence, and contributing to commercial strategy.

Owns Pencil’s financial controls, month-end close, cash flow forecasting, treasury, payment approvals, revenue recognition oversight, payroll review, and audit readiness. The role provides senior financial judgment, manages banking and vendor escalations, strengthens finance processes, and applies AI to automate workflows. It requires a qualified UK accountant with experience in scaling businesses, preferably SaaS or technology companies.

Leads technical strategy and pre-sales engagement for hyperscale cloud, AI, and data center networking solutions. Partners with customers, hyperscalers, technology providers, sales teams, and product organizations to co-design architectures, shape go-to-market strategy, and influence product development. Requires deep expertise in routing, switching, SDN, network automation, virtualization, and hyperscale infrastructure, plus strong executive communication, RFP response, and relationship-building skills. Travel of up to 50%, including international travel, is required.

Build Tailscale’s internal AI-enablement tools, workflows, guardrails, and practices. Partner with engineering leadership and technical teams to define the AI roadmap, evaluate coding agents and models, improve developer velocity and quality, and drive safe adoption. The role includes internal tooling, developer advocacy, documentation, impact measurement, and collaboration across engineering and non-engineering teams.

Join Welo Data’s Swahili contributor network for potential remote AI projects involving text, image, or audio annotation; search, advertising, or chatbot evaluation; prompt creation; and cultural and linguistic accuracy review. Applicants must be native or near-native Swahili speakers based in Kenya, Tanzania, or the Democratic Republic of Congo, with English proficiency, digital-tool comfort, and strong attention to detail. Projects vary in duration and compensation, with details provided before participation.