Jobs at Spectris plc

Owner of early-stage venture creation and product management: identify and validate opportunities, define venture thesis and MVP, run customer discovery and pilots, use AI and no-code tools to prototype and validate, develop business cases and GTM, align cross-functional teams, and guide stage-gate investment decisions to achieve early traction.

This role involves qualifying sales leads, preparing budgetary quotations, nurturing prospects, and supporting the EMEA sales team in achieving targets.

Design and own end-to-end agentic AI workflows on the Microsoft AI stack, focusing on agent orchestration, human-in-the-loop controls, cost optimization, secure enterprise integrations, governance, and phased multi-country deployments. Define reference architectures, optimize model routing and token budgets, and ensure compliance and auditability while evaluating emerging agent frameworks.

Design, develop, and scale frontend and backend enterprise web applications and integrations to power AI-driven workflows. Build secure backend services (Python with .NET/Java), integrate diverse APIs, implement authentication/authorization (Entra ID/SSO/RBAC), support CI/CD and observability, and design data models (SQL/Dataverse) for workflow tracking and auditability.

Design, tune, and maintain production prompts and guardrails for LLM-driven agents. Build evaluation suites, run A/B tests, implement feedback loops, optimize cost and model selection, ensure multi-language B2B tone, and document patterns and test results.

Design, build, and operate governed data pipelines and context layers for AI agents integrating Salesforce, SAP, and service data. Implement feedback loops, data-quality frameworks, semantic models, Power BI reporting, and secure API-based integrations to support enterprise commercial AI workflows.

Own and execute pricing strategy for a global portfolio. Build pricing analytics and dashboards, run price increase programmes, establish discount governance and deal review, support sales on strategic deals, and embed pricing best practices across the organisation.

Lead the financial workstream across the full M&A lifecycle: target analysis, financial due diligence, build and stress-test transaction models, support investment cases, track post-acquisition performance and integration synergies, and provide strategic financial insight to senior leadership and private equity partners.

The Customer Support Engineer installs, repairs, and maintains instrumentation across the UK, ensuring high customer satisfaction through effective service and support.

Lead Site Reliability Engineering for Azure cloud platforms: define SLOs/SLIs, improve observability, drive automation, manage incidents and root-cause analysis, collaborate with engineering and product teams to ensure scalable, reliable deployments and operational excellence.

Design, develop, and deploy enterprise-grade Azure AI solutions including LLM-powered chatbots, vector-search integrations, and autonomous agents. Collaborate with cross-functional teams to build secure, governed, scalable AI platforms, optimise data flows, and support AI adoption and engineering best practices.

Design, develop, and optimize scalable, secure cloud-native applications on Microsoft Azure. Provide technical leadership across architecture, development, testing, CI/CD and DevSecOps. Collaborate with product, UX and cross-functional teams, troubleshoot complex issues, mentor engineers, and drive engineering best practices and continuous improvement in an Agile environment.