13 of 13 Predictive Maintenance Jobs in the UK

manufacturing, and asset lifecycle management). Own and deliver end-to-end EAM solution design covering key asset management processes including Plant Maintenance, Asset Performance Management, Service Management, Maintenance Planning, and Mobile Asset Management. Conduct senior-level fit-to-standard workshops with client stakeholders to align … 4HANA, and relevant non-SAP asset management or analytics platforms. Provide expert guidance on leveraging SAP EAM innovations, advanced analytics, and intelligent technologies (e.g., predictive maintenance, condition-based monitoring, IoT integration, and mobile solutions). Oversee integration strategies between SAP EAM and SAP S/4HANA using ...

zero-tolerance policy for harassment and discrimination in all our operations, including our focused SAP projects. The Role As our SAP EAM & Plant Maintenance Architect, you will be the go-to expert for clients across asset-intensive industries, helping them design and optimise their SAP Enterprise Asset Management … Plant Maintenance landscapes. This is a senior, client-facing role. You'll lead architecture decisions, shape implementation strategy, and work closely with client stakeholders from operational managers through to C-suite. You'll also play a key part in shaping how Resulting grows its EAM capability in the UK. ...

enterprise asset management (EAM) with IT solutions in the ERP domain. This role collaborates with stakeholders in procurement, supply chain, and operations/maintenance to identify requirements, improve processes, and implement cost-effective ERP solutions. Acting as a subject matter expert for modules like SAP MM (Materials Management … Plant Maintenance) and associated systems (e.g., Maximo for EAM), ensures that the ERP configuration supports efficient supply chain and asset management processes. Works closely with project managers and IT delivery teams to deliver high-quality enhancements and provide ongoing support post implementation. This role also requires a strong technical ...

Design and build hands-on lab environments (e.g. Python-based ML pipelines, MLOps workflows, model deployment scenarios) Develop simulation-based exercises (e.g. anomaly detection, predictive maintenance, NLP pipelines, cyber/AI use cases) Integrate tools such as TensorFlow, PyTorch, Scikit-learn, and cloud platforms where appropriate Mentorship & Capability … TensorFlow, PyTorch, Scikit-learn) Experience with data pipelines, feature engineering, and model evaluation Exposure to areas such as: Deep Learning Natural Language Processing (NLP) Predictive analytics MLOps and model lifecycle management Familiarity with cloud platforms (AWS, Azure, or GCP) is desirable Practical/Industry Experience Demonstrated experience applying ...

lead a world-class engineering team across AI/ML, data, and full-stack Develop multi-modal AI systems for diagnostics, reasoning, and predictive analytics Drive rapid product development from prototype to customer pilots Ensure secure and scalable integrations with industrial systems (SCADA/OT, OEM platforms, enterprise tools … production AI/ML Expertise Deep experience with LLMs, multi-modal models (time-series, sensor, imagery, text), explainable AI, knowledge graphs, and real-time predictive analytics Track record building enterprise-grade AI systems and integrating them into complex or mission-critical environments Systems & Infrastructure Strong foundation in distributed systems ...

operations, overseeing electrical, mechanical and cooling systems to ensure maximum uptime and performance. The successful candidate will take ownership of day-to-day operations, maintenance programmes, incident response and continuous improvement across the site. Key Responsibilities • Oversee operation and maintenance of electrical, mechanical and HVAC/liquid cooling … systems • Drive preventive and predictive maintenance to ensure uptime and reliability • Manage critical infrastructure including UPS, generators, PDUs, CRAC/CRAH, chillers and BMS/EMS • Ensure compliance with safety standards, permits, LOTO and regulatory requirements • Maintain technical documentation (SOPs, SLDs, asset registers) • Supervise contractors and support upgrades ...

deterministic, high-availability industrial systems. Software Engineers will contribute to the software architecture by focusing on key areas such as reliability, data logging, predictive maintenance capabilities, and cybersecurity for industrial environments. Software Engineers C# will have some of the following software development experience. Expert proficiency in C# ...

Internet of Things (IoT) to optimize vessel operations, improve fuel efficiency, and reduce carbon emissions. These technologies enable real-time monitoring and predictive maintenance, ensuring that the fleet operates at peak performance. To drive continuous innovation, CMA CGM has established several innovation centers and formed strategic partnerships with ...

life safety systems Vertical transport Occupancy and environmental monitoring technologies The objective is clear: create a unified communication architecture that delivers real-time monitoring, predictive maintenance capability, improved system uptime and measurable energy savings. You will develop and implement a 5-year rolling integration strategy aligned with asset ...

Internet of Things (IoT) to optimize vessel operations, improve fuel efficiency, and reduce carbon emissions. These technologies enable real-time monitoring and predictive maintenance, ensuring that the fleet operates at peak performance. To drive continuous innovation, CMA CGM has established several innovation centers and formed strategic partnerships with ...

fuel costs, and cut carbon emissions through smart fleet and asset management software. Their platform uses real-time telematics, dash cams, driver analytics, and predictive maintenance to turn complex data into clear, actionable insight. Having achieved 250% growth over the past year , they're now scaling fast. ...

that reduce noise whilst catching real issues, and creating monitoring policies that prevent incidents instead of just logging them. Proactive monitoring, self-healing scripts, predictive maintenance—these aren't buzzwords here. They're how we can continue to continue to evolve our business with ever increasing intelligence ...

hospital capabilities, including digitally empowered patients through accessible, interoperable systems; smart buildings designed with embedded digital infrastructure to support real-time data, automation, and predictive maintenance; digitally enabled staff with tools that enhance clinical workflows and decision-making; hospitals without walls, promoting integrated care across physical and virtual ...