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Support SAP PM, engineering master data and asset management systems at a major Teesside manufacturing site Wolviston Management Services is continuing to support Tioxide and recruiting for a SAP Data Controller to join the Engineering function at Greatham. This is a specialist engineering systems and data role, supporting the development and continuous improvement of SAP Plant Maintenance, Enterprise Asset Management processes, Factory Information Systems and other intelligent data interfaces. You will work closely with Engineering, Maintenance, Operations, Manufacturing SAP users, Site Leadership, external suppliers and wider site stakeholders to ensure SAP PM/MM data, workflows, reporting and system processes support safe, reliable and efficient site operations. This role would suit someone with strong SAP PM, maintenance systems, engineering master data or Enterprise Asset Management experience who enjoys improving systems, supporting users and turning data into meaningful operational insight. WHAT YOU’LL BE DOING You will: Own and improve functional workflow processes for SAP PM/MM and Enterprise Asset Management. Create, change and manage SAP PM data, including functional locations, equipment, materials, BOMs, task lists and maintenance plans. Support SAP master data accuracy across plant areas. Manage complementary systems, including engineering spares and maintenance-related data systems. Provide first-line support to manufacturing SAP users. Coach and influence users in the effective use of SAP PM, Factory Information Systems and web-based intelligent interfaces. Provide technical support, guidance and solutions for SAP PM and related system issues. Develop and enhance SAP Planned Maintenance module functionality. Support consistent working practices across maintenance, reliability and engineering teams. Plan and prioritise master data maintenance work to support statutory, maintenance and CAPEX programmes. Manage SAP role allocation, access controls and user training requirements. Develop automated reports aligned to business goals. Provide targeted performance information for stakeholders including the Site Director, Site Leadership Team and Engineering Managers. Liaise with external suppliers to support Computer Aided Engineering solutions. Support the development of Aveva PI Vision, Factory Information Systems and other intelligent interfaces. Contribute to improved safety, quality, cost, production, maintenance and reliability performance. CANDIDATE REQUIREMENTS We welcome applications from people who have: Proven experience delivering or supporting SAP Plant Maintenance or Enterprise Asset Management solutions. HNC-level education in an engineering discipline, such as Mechanical, Electrical or Chemical Engineering, or equivalent experience. At least 5 years’ relevant industrial experience in asset management, maintenance systems or capital project execution. Strong knowledge of SAP PM and maintenance performance metrics, including OEE, MTBF and MTTR. Experience developing performance reports, automated reports or business intelligence tools. Well-developed IT skills, including Excel and the ability to create tools, reports and analysis using relevant software packages. Strong written and verbal communication skills. Good facilitation and stakeholder engagement skills. The ability to support, coach and influence system users. The ability to understand complex issues and translate them into practical solutions. A proactive approach to learning new systems and applying them effectively. Experience in any of the following would be beneficial: Chemical, process, manufacturing or high-hazard industrial environments. Supporting a large SAP user community. Managing SAP role allocation, access controls or user training. Aveva PI Vision, PI/FIS or Factory Information Systems. Statutory maintenance, planned maintenance or CAPEX programme data requirements. Computer Aided Engineering systems or external software suppliers. Acting as a Business Process Owner for SAP, maintenance systems or asset management processes. Developing web-based intelligent interfaces or operational reporting dashboards. DIVERSITY AND INCLUSION Tioxide is committed to building a diverse and inclusive workplace where everyone feels respected, valued and able to contribute. We welcome applications from people of all backgrounds, identities and experiences, including people from groups currently under-represented in engineering, manufacturing, technology and leadership roles. Brilliant Together

A small Biotech firm in Oxfordshire is looking for a Computer Vision Engineer to join their team on a permanent basis. This role requires strong experience in computer vision, proficiency in Python, and the ability to lead technical projects.

Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking. Machine Learning Engineer (Computer Vision). We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team d

You’ll train, debug, and improve computer vision and 3D perception models, and iterate based on clear evaluation signals. Our vision is to create autonomy that propels the world forward.

Platform Recruitment is seeking a Machine Learning Engineer specializing in Computer Vision to join a dynamic engineering team in Cambridge.

They operate at the cutting edge of computer vision and real-time AI, and they are scaling quickly. You will own research directions end-to-end, from problem formulation through to production deployment, working across a range of computer vision and deep learning disciplines. PhD, or Master's with e

You will be working on a broad range of projects on Computer / Machine Vision. Some experience with Computer Vision (academic or commercial). I am working with a very exciting tech start up - they work at the bleeding edge of Machine Vision and VLM's.

Qualifications Must-Have 5+ years in computer vision and ML engineering. Position: Computer Vision MLE Type: Contract Compensation: $135/hour Location: Remote Duration: 3–4 weeks Commitment: 20+ hours/week Role Responsibilities Benchmark baseline model performance on a representative image sample.

Fixed Term until 15 August 2027.West Lothian Council reserve the right to close this post early depending on applicant response levels.We are keen to employ a diverse workforce that reflects the people of Scotland.We welcome applications from all backgrounds and particularly from groups currently un

Position: Computer Vision MLE Type: Contract Compensation: $135/hour Location: Remote Duration: 3–4 weeks Commitment: 20+ hours/week Role Responsibilities Benchmark baseline model performance on a representative image sample. Evaluate the realistic performance ceiling of the computer vision system

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Fixed Term until 15 August 2027.West Lothian Council reserve the right to close this post early depending on applicant response levels.We are keen to employ a diverse workforce that reflects the people of Scotland.We welcome applications from all backgrounds and particularly from groups currently un

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