3 manufacturing jobs found

ServiceNow Business Analyst Contract: 3 months Outside IR35 Location: Remote My client, a leading multinational is looking for a ServiceNow Business Analyst for an initial 3 moth contract and an immediate start. The ideal candidate will be someone with CPG/FMCG/Consumer Goods Manufacturing experience. It is essential and a must have to have experience in ServiceNow ITSM with demonstrable experience working on Service Request/Service Catalogue and Joiners/Movers/Leavers process. The role is not a ServiceNow developer, but we need a BA well versed in the platform and not a generalist.

ERP Consultant (MacPac) - 12 Month Contract - Outside IR35 - [Location/Remote] Role Overview: We are working with a manufacturing sector client who are looking for an ERP Consultant with MacPac experience to support and maintain their core ERP environment. MacPac experience is genuinely scarce in the current market, so our client is open to candidates with strong IBM i (iSeries) or AS400 backgrounds who can bridge into MacPac, as well as those with direct OpenVMS platform exposure where MacPac has historically run. Key Responsibilities: Support and maintain the MacPac ERP environment and related Legacy applications Operate within OpenVMS-based or IBM i/AS400-based production environments, depending on background Execute existing SOPs for recovery and operational continuity Participate in structured knowledge transfer from existing/retiring team members Carry out system health checks, restarts, recovery, incident response, and OS-level troubleshooting...

AI Engineer Location: London (Hybrid) Rate: £400 per day Contract Type: Contract – Outside IR35 About the Role We are seeking an experienced AI Engineer to join an exciting contract engagement with a leading global technology client in London. This role offers the opportunity to design, develop, and deploy cutting-edge AI and machine learning solutions that enable intelligent automation and data-driven decision-making at enterprise scale. Key Responsibilities Design, develop, and deploy production-ready AI and machine learning models. Build and maintain scalable MLOps pipelines for model training, deployment, monitoring, and lifecycle management. Develop and implement Large Language Model (LLM) solutions, Retrieval-Augmented Generation (RAG) pipelines, and Generative AI applications. Integrate AI and ML capabilities into enterprise applications, APIs, and existing platforms. Collaborate with data scientists, software engineers, architects, and product teams to...