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Title: Laboratory Systems Specialist Location: Slough Visa and Relocation support is offered with this role. Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, there’s no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that’s the kind of work we want to be part of. The role: The role of a Laboratory Systems Specialist is to lead the development and implementation of robust Lab/digital infrastructure within our R&D laboratories for the UK and US locations. This is pivotal in enabling efficient, automated data exchange between laboratory instruments and enterprise informatics systems such as Electronic Lab notebooks (ELN)s, Laboratory Information Management Systems (LIMS) and other relevant data setups. The ideal candidate would have experience in implementing robust digital infrastructures within lab environment automation. You will be pivotal in connecting scientific users, automation scientist, and IT teams together . Be willing to travel within the UK and Europe, accounting for approximately 10% of working time! Key responsibilities: * Design, implement, and maintain secure, scalable IT/OT interfaces between lab instruments (e.g., bioreactors, plate readers, liquid handlers) and informatics systems (ELN, LIMS, SDMS, etc.) * Collaborate with IT, Data science and scientific teams in R&D to identify integration needs and define architecture for real-time or scheduled automated data transfer. * Develop or configure middleware, APIs, and custom connectors—either in-house or in collaboration with external vendors—to enable automated data capture, contextualization, and storage. * Manage instrument network connectivity (e.g., OPC-UA, MQTT, REST APIs, TCP/IP) and data pipelines from edge devices to cloud/on-premise environments. * Support system validation efforts (e.g., CSV, 21 CFR Part 11 compliance) in partnership with QA and IT Compliance teams, while also providing technical troubleshooting and support for instrument connectivity and data integration issues. * Contribute to long-term digital strategy for lab automation, analytics, and operational efficiency. Support scale-up and tech transfer of automated workflows to operational areas or QC environments outside of R&D when needed. * Participate in required Lonza training programs. Key requirements: * Bachelor’s or Master’s degree in Computer Science, Engineering, Scientific or a related field. * Experience in a similar IT/OT integration or lab informatics/digitalisation role within biotech, pharma, or CDMO environment. * Proven hands-on experience integrating lab instruments with ELNs, LIMS, Scientific Data Management System (SDMS), or other data systems. * Proficiency with data integration technologies and protocols: OPC UA, MQTT, REST/SOAP APIs, SQL, Python, etc. * Familiarity with lab automation platforms (e.g., Tecan, Hamilton, Agilent, Beckman, Sartorius) and related data workflows. * A good understanding of GxP, 21 CFR Part 11, data integrity principles, and validated environments is a plus. Every day, Lonza’s products and services have a positive impact on millions of people. For us, this is not only a great privilege, but also a great responsibility. How we achieve our business results is just as important as the achievements themselves. At Lonza, we respect and protect our people and our environment. Any success we achieve is no success at all if not achieved ethically. People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences. In return, we offer the satisfaction that comes with improving lives all around the world. The satisfaction that comes with making a meaningful difference.

Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, there’s no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that’s the kind of work we want to be part of. The role: We seek an adept expert to contribute significantly to our R&D team, bridging machine learning engineering with applied data science. You'll improve and manage our Machine Learning Operations (MLOps) on Azure, and participate in creating, assessing, and advancing various machine learning models and AI systems. Collaborate extensively with scientific and operational teams to guarantee the robustness, scalability, and reliability of our AI tools. Implementing automation and standardization throughout the ML lifecycle, your efforts will support quicker, data-informed decision-making and boost innovation. Help our CDMO's mission by turning research insights into practical solutions efficiently. Key responsibilities: * Compose, construct, and uphold resilient machine learning operations (MLOps) pipelines that facilitate the complete lifecycle of AI models—from creation to implementation and supervision. * Guarantee the successful deployment of machine learning and large language models (LLMs) in practical operational settings, transforming research findings into functional business tools. * Facilitate the progress and examination of ML models, involving both standard machine learning and neural network-focused models, as requested by R&D teams. * Develop standardized, reusable workflows that can be applied across different projects and scientific areas. * Collaborate with scientists and engineers to incorporate AI solutions into daily R&D tasks. * Implement tools for version control, testing, and continuous integration to ensure quality, security, and traceability of AI solutions. * Develop automated reporting systems that make results from AI models easier to interpret, share, and act on. Key requirements: * MSc or BSc in Computer Science, Data Science, Bioinformatics, Engineering, or a related field, or equivalent experience. * Proven experience designing and deploying MLOps pipelines (MLflow, Azure ML, Azure DevOps etc). * Strong programming skills in Python and familiarity with common ML/AI libraries (scikit-learn, tensorflow, Keras etc.). * Experience implementing machine learning and large language models (LLMs), encompassing deployment, monitoring, and retraining. * Familiarity with software engineering guidelines: version control (e.g., Git), CI/CD, containerization (e.g., Docker), and workflow orchestration. * Knowledge of cloud platforms and scalable compute environments (Azure preferred). * Understanding of data governance, model documentation, and reproducibility in a regulated or research-heavy context. * Ability to align machine learning initiatives with business objectives in a scientific or regulated environment. Every day, Lonza’s products and services have a positive impact on millions of people. For us, this is not only a great privilege, but also a great responsibility. How we achieve our business results is just as important as the achievements themselves. At Lonza, we respect and protect our people and our environment. Any success we achieve is no success at all if not achieved ethically. People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences. In return, we offer the satisfaction that comes with improving lives all around the world. The satisfaction that comes with making a meaningful difference.

Company description Company Description AG Consultancy & Apps Ltd are an SAP Gold Partner, SAP Quality Awards Gold Winner (Innovation) and UI Path Gold Partner with expertise across the SAP Ecosystem. Our company ethos is providing exceptional quality and building long lasting relationships. Focussed on SAP S4HANA & EAM with recognised expertise and helping to deliver wide scale initiatives in the maintenance, reliability and engineering space. Headquartered in Slough, UK with offices in Chennai, Netherlands & Aberdeen with teams across Europe and India. See ___ for more details. Position We are seeking an experienced SAP Plant Maintenance (PM) Principal Consultant to lead and support a Greenfield S/4HANA implementation. The ideal candidate will bring a deep understanding of SAP PM processes, hands-on configuration skills, and strong business consulting experience. This role requires the ability to translate business requirements into system solutions and work closely with stakeholders to drive successful project outcomes Role and Responsibilities: • Lead the end-to-end design and implementation of SAP PM module in an S/4HANA Greenfield environment., • • Collaborate with business stakeholders to gather and analyse requirements, translating them into effective SAP PM solutions., • • Configure SAP PM module, including functional specs for enhancements and interfaces., • • Integrate PM processes with other SAP modules (MM, PP, QM, EAM, etc.)., • • Develop and deliver workshops, demos, and training sessions for key users and business leads., • • Work with technical teams to support development of custom objects, data migration, and integrations., • • Support testing, cutover planning, and Hypercare activities., • • Provide strategic input into system architecture and process optimization aligned with industry best practices. Skills and Qualifications: • 12+ years of experience with SAP PM, including at least 2 full-cycle implementations., • • Proven experience with S/4HANA Greenfield implementations., • • Strong functional knowledge of Plant Maintenance processes, including notifications, work orders, preventive maintenance, and equipment management., • • Familiar with Fiori apps, SAP Activate methodology, and S/4HANA simplifications., • • Ability to map business requirements to system functionality with a focus on usability and scalability., • • Excellent communication and stakeholder management skills., • • Ability to lead workshops and present solutions to both technical and non-technical audiences., • • Bachelor’s degree in engineering, Computer Science, or related field; SAP certification is a plus. Desirable Qualifications • Experience in asset-intensive industries (e.g., utilities, oil & gas, manufacturing)., • Exposure to integration with mobile maintenance solutions, IoT, or predictive maintenance., • Familiarity with EAM or Linear Asset Management. Preferences: • Experience in Oil & Gas, • Automobile, • Exposure to Winshuttle / Prometheus / RPA, • Experience in SAP PS (Project system)

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FindTutors is looking for passionate Computer science tutors to join our growing online teaching community.

FindTutors is looking for passionate Computer science tutors to join our growing online teaching community.Whether you’re a private tutor or prefer online sessions, we provide the platform to connect with students across the UK.No previous tutoring experience required.Flexible hours and remote tea

FindTutors is looking for passionate Computer science tutors to join our growing online teaching community.

FindTutors is looking for passionate Computer science tutors to join our growing online teaching community.

FindTutors is looking for passionate Computer science tutors to join our growing online teaching community.Whether you’re a private tutor or prefer online sessions, we provide the platform to connect with students across the UK.No previous tutoring experience required.Flexible hours and remote tea

FindTutors is looking for passionate Computer science tutors to join our growing online teaching community.

FindTutors is looking for passionate Computer science tutors to join our growing online teaching community.

FindTutors is looking for passionate Computer science tutors to join our growing online teaching community.

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The School of Computer Science and Mathematics is dedicated to producing research that has real-world application, boasting specialisms in immersive technologies, applications of artificial intelligence, trustworthy computing technologies and data science. About the School of Computer Science and Ma

Windsor Forest Colleges group is looking for a Teacher of Business and Computer Science to join our Strodes College team on a permanent, part-time basis working on a 0.

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