• Serve as a senior escalation engineer for Microsoft 365, Exchange Online, and on-premises Exchange environments. • Troubleshoot and resolve complex technical issues across varying priority levels while maintaining exceptional client service. • Design, plan, and execute Exchange to Microsoft 365 migration projects, including hybrid and coexistence environments. • Administer and support Microsoft 365 services including Exchange Online, Entra ID (Azure AD), SharePoint Online, Teams, Intune, Defender, and Purview Compliance. • Perform advanced troubleshooting related to Active Directory, Azure AD Connect, hybrid identity, mail flow, authentication, and directory synchronization. • Utilize PowerShell scripting to automate administrative tasks, expedite troubleshooting, generate reporting, and improve operational efficiency. • Identify and remediate migration blockers using tools such as ADSI Edit, Active Directory utilities, and Microsoft diagnostic tools. • Support and manage third-party migration tools and technologies utilized during tenant migrations and consolidations. • Collaborate with project teams, stakeholders, and clients to ensure successful delivery of technical projects. • Lead technical implementations and provide guidance to engineers during complex project engagements. • Document technical procedures, solutions, and project deliverables according to organizational standards. • Manage project responsibilities independently when a dedicated project manager is not assigned. • Balance ticket-based support activities with project commitments while maintaining service quality and meeting deadlines. • Escalate issues appropriately based on business impact, urgency, and technical complexity. • Participate in after-hours maintenance, migration activities, and critical incident response when required. • Communicate effectively with leadership, clients, and team members regarding project status, risks, and technical recommendations. • Assist with process improvement initiatives and contribute to the best technical practices across the organization.

Role Description Validate the ML stack that turns accelerator hardware into trusted AI performance. This role sits where modern ML models meet Graphcore’s software and hardware stack. You will test, benchmark and validate complex systems before they reach customers. - Your work will expose regressions, correctness issues and performance limits across frameworks, models and execution environments. - You will help teams understand what is working, what is breaking and why. - You will run open source models, build automated benchmarking pipelines and create targeted tests for low level ML behaviour, including: - Numerical precision - Quantisation - Attention mechanisms - Distributed execution - Model subgraphs - This is a role for someone who wants to stay close to how AI systems really work. You will not design new models, but you will make them run reliably on ambitious infrastructure. Qualifications - Strong experience in Machine Learning or ML-adjacent software engineering roles. - A solid grasp of neural networks, training, inference, numerical precision and performance trade-offs. - Hands-on experience with PyTorch, TensorFlow, JAX, Triton or similar ML frameworks and tools. - Strong Python skills for automation, experimentation, benchmarking and reporting. - Experience designing, running and analysing ML benchmarks or model experiments. - Confident debugging skills in Linux, with curiosity about model behaviour and system performance. Benefits - Unlimited annual leave - Up to 5% matched pension - Phantom equity – share in Graphcore’s success - True flexibility in how and where you work - Office spaces designed for collaboration - Free food and an on-site barista - Health cash plan - Income protection - Life assurance - Along with other benefits you can choose from (private medical insurance, dental plan etc)

Role Description Validate the ML stack that turns accelerator hardware into trusted AI performance. This role sits where modern ML models meet Graphcore’s software and hardware stack. You will test, benchmark and validate complex systems before they reach customers. - Your work will expose regressions, correctness issues and performance limits across frameworks, models and execution environments. - You will help teams understand what is working, what is breaking and why. - You will run open source models, build automated benchmarking pipelines and create targeted tests for low level ML behaviour, including: - Numerical precision - Quantisation - Attention mechanisms - Distributed execution - Model subgraphs - This is a role for someone who wants to stay close to how AI systems really work. You will not design new models, but you will make them run reliably on ambitious infrastructure. Qualifications - Strong experience in Machine Learning or ML-adjacent software engineering roles. - A solid grasp of neural networks, training, inference, numerical precision and performance trade-offs. - Hands-on experience with PyTorch, TensorFlow, JAX, Triton or similar ML frameworks and tools. - Strong Python skills for automation, experimentation, benchmarking and reporting. - Experience designing, running and analysing ML benchmarks or model experiments. - Confident debugging skills in Linux, with curiosity about model behaviour and system performance. Benefits - Unlimited annual leave - Up to 5% matched pension - Phantom equity – share in Graphcore’s success - True flexibility in how and where you work - Office spaces designed for collaboration - Free food and an on-site barista - Health cash plan - Income protection - Life assurance - Along with other benefits you can choose from (private medical insurance, dental plan etc)

Role Description Worley is a global company of energy, chemicals and resources experts headquartered in Australia. We partner with our customers to deliver projects and create value across the life of their assets. We specialize in consulting, engineering, procurement and construction across the project lifecycle, with services extending through to operations and decommissioning. Leveraging extensive experience and AI-enabled delivery, we support customers in navigating complexity as they meet today's needs and transition to more sustainable solutions. Qualifications - Cursando Ensino superior em Geologia, Engenharia Ambiental, Gestão Ambiental, Ciências Ambientais entre outras. - Conhecimento dos tópicos relacionados ao processo caracterização ambiental e às técnicas de remediação. - Autonomia, capacidade trabalho em equipe e habilidades de comunicação oral e escrita. - Experiência de estudos em campo (nível universitário). - Conhecimentos acadêmico com bases de dados, software estatísticas, GIS, CAD, ou Power BI desejável. - Motivação e habilidade de trabalho em equipe. - Disciplina e condições de estagiar remoto (home office). - Dominio de pacote Office. Benefits - We want our people to be energized and empowered to drive sustainable impact. - Focus on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. - Building a diverse, inclusive and respectful workplace. - Creating a space where everyone feels they belong, can be themselves, and are heard. - Reskilling our people and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. - Opportunities to broaden horizons and explore diverse opportunities. - Be part of delivering sustainable change.