JCDecaux UK Ltd
City Of Westminster, London
Purpose & Impact Within JCDecaux UK the role of Service Desk Analyst (SDAN) provides both 1st and 2nd line hardware and software customer focused support to end users at all levels of the organisation. The position sits within the Service Desk team, part of the Service Delivery function and reports to the Service Desk Team Leader (SDTL). JCDecaux UK is a challenging and ever evolving company where improvements to processes, systems and working practices are continually strived for, and the role of SDAN is crucial to both the department and wider company's success. What you'll be doing Client Operating systems (Windows 10, Mac OSX, etc) Server Operating system (Windows Server 2008, 2012, 2016 & 2019) Application deployment, configuration and support Mobile device management (Meraki, Mobile Iron, etc) Helpdesk systems (JitBit, Zendesk, etc) End user desktop equipment (desktop PCs, laptops and accessories) Microsoft Office applications (Office365) Printer and multifunction device management Active Directory for user management Telephony Platforms (ShoreTel, Mitel, Cisco, etc) Scripting (PowerShell, etc) Qualifications Educated in an IT related field or strong breadth and depth of relevant industry experience in a technical support position. Microsoft MTA/MCSA (desired but not essential) Working towards CMNO, CCNA or equivalent A little bit about you Ability to listen, adapt and make suggestions Excellent customer service skills Languages: Fluency in English, French desirable Highly motivated and service oriented Strong organisational skills and attention to detail Strong communication skills (written and oral) Excellent analysis, testing and troubleshooting skills Ability to rapidly identify faults and resolve issues EEO Statement We are committed to equal employment opportunities regardless of race, colour, ancestry, religion, national origin, sexual orientation, age, citizenship, marital status, disability or gender identity. We are committed to diversity as part of a culture that values all people.
Purpose & Impact Within JCDecaux UK the role of Service Desk Analyst (SDAN) provides both 1st and 2nd line hardware and software customer focused support to end users at all levels of the organisation. The position sits within the Service Desk team, part of the Service Delivery function and reports to the Service Desk Team Leader (SDTL). JCDecaux UK is a challenging and ever evolving company where improvements to processes, systems and working practices are continually strived for, and the role of SDAN is crucial to both the department and wider company's success. What you'll be doing Client Operating systems (Windows 10, Mac OSX, etc) Server Operating system (Windows Server 2008, 2012, 2016 & 2019) Application deployment, configuration and support Mobile device management (Meraki, Mobile Iron, etc) Helpdesk systems (JitBit, Zendesk, etc) End user desktop equipment (desktop PCs, laptops and accessories) Microsoft Office applications (Office365) Printer and multifunction device management Active Directory for user management Telephony Platforms (ShoreTel, Mitel, Cisco, etc) Scripting (PowerShell, etc) Qualifications Educated in an IT related field or strong breadth and depth of relevant industry experience in a technical support position. Microsoft MTA/MCSA (desired but not essential) Working towards CMNO, CCNA or equivalent A little bit about you Ability to listen, adapt and make suggestions Excellent customer service skills Languages: Fluency in English, French desirable Highly motivated and service oriented Strong organisational skills and attention to detail Strong communication skills (written and oral) Excellent analysis, testing and troubleshooting skills Ability to rapidly identify faults and resolve issues EEO Statement We are committed to equal employment opportunities regardless of race, colour, ancestry, religion, national origin, sexual orientation, age, citizenship, marital status, disability or gender identity. We are committed to diversity as part of a culture that values all people.
JCDecaux UK Ltd
City Of Westminster, London
The AI Engineer designs, builds and operates scalable, secure AI solutions for JCDecaux UK, with a focus on Copilot implementations and agentic AI that augment users and automate complex workflows. The role converts business and data requirements into production grade AI assistants, copilots and intelligent agents embedded into products, processes and decision making. Working closely with technology and business teams, the AI Engineer oversees solutions from experimentation through to deployment, optimisation and support, ensuring they integrate with JCDecaux UK's digital, data and technology landscape. The role supports JCDecaux UK's vision and mission by using advanced AI to pioneer real world communications and enhance client and consumer understanding. Reports to: Chief Innovation and Technology Officer What you'll be doing Design and implement AI copilots and agentic AI solutions that assist users, automate multi step tasks and orchestrate calls to internal tools and systems. Translate business use cases into Copilot scenarios, prompt flows, connectors and agent behaviours, defining secure, scalable solution architectures. Build and maintain AI components (e.g. RAG, classification, recommendation, summarisation) using Python and modern ML/LLM frameworks. Implement end to end MLOps pipelines for development, testing, deployment and monitoring of Copilot and AI solutions, and deploy them into production environments (e.g. Microsoft 365 Copilot, Azure, internal apps). Integrate AI agents with enterprise systems (e.g. CRM, ERP, scheduling, inventory, data platforms) via APIs and microservices. Collaborate with data engineers to design data pipelines, retrieval layers (vector stores, search indices) and large scale processing using big data frameworks. Implement monitoring, logging and analytics to track usage, performance, quality and user satisfaction, and lead optimisation to address issues such as drift, hallucinations and latency. Contribute to AI engineering standards, guardrails and best practices, and support incident investigation and resolution with Service Delivery. Ensure solutions comply with security, privacy, compliance and ethical AI requirements, including access controls, data protection and risk assessments. Share knowledge and mentor colleagues to build AI literacy and capability across IT and the wider business. A little bit about you Degree in Computer Science, Data Science, Software Engineering, Mathematics, Engineering or a closely related field. Previous experience in AI, data science, ML engineering or advanced analytics. Hands on experience designing, building and deploying Copilot and/or agentic AI solutions (e.g. Microsoft 365 Copilot extensions, Azure OpenAI based copilots, custom AI assistants/agents). Strong proficiency in Python for AI/ML development, including use of common ML and data libraries (e.g. TensorFlow/PyTorch, scikit learn, pandas, NumPy). Proven experience integrating AI services with enterprise systems via APIs and event driven architectures. Practical experience with LLMs, prompt engineering, RAG and tools/plugins for agents and copilots. Familiarity with cloud platforms (ideally Azure) and AI services (e.g. Azure OpenAI, Azure Machine Learning, or equivalents). Experience working in agile, cross functional delivery teams. Postgraduate study or certifications in AI, machine learning or data science. Cloud certifications (e.g. Azure, GCP, AWS) and relevant AI/ML credentials. Experience with big data and distributed computing (e.g. Spark, Databricks, Hadoop or cloud native alternatives). Experience with containerisation and DevOps/MLOps tools (e.g. Docker, Kubernetes, Git, CI/CD, MLflow, Airflow). Strong experience with data engineering concepts (ETL/ELT, data integration, warehousing, vector databases/search). We are committed to equal employment opportunities regardless of race, colour, ancestry, religion, national origin, sexual orientation, age, citizenship, marital status, disability or gender identity.
The AI Engineer designs, builds and operates scalable, secure AI solutions for JCDecaux UK, with a focus on Copilot implementations and agentic AI that augment users and automate complex workflows. The role converts business and data requirements into production grade AI assistants, copilots and intelligent agents embedded into products, processes and decision making. Working closely with technology and business teams, the AI Engineer oversees solutions from experimentation through to deployment, optimisation and support, ensuring they integrate with JCDecaux UK's digital, data and technology landscape. The role supports JCDecaux UK's vision and mission by using advanced AI to pioneer real world communications and enhance client and consumer understanding. Reports to: Chief Innovation and Technology Officer What you'll be doing Design and implement AI copilots and agentic AI solutions that assist users, automate multi step tasks and orchestrate calls to internal tools and systems. Translate business use cases into Copilot scenarios, prompt flows, connectors and agent behaviours, defining secure, scalable solution architectures. Build and maintain AI components (e.g. RAG, classification, recommendation, summarisation) using Python and modern ML/LLM frameworks. Implement end to end MLOps pipelines for development, testing, deployment and monitoring of Copilot and AI solutions, and deploy them into production environments (e.g. Microsoft 365 Copilot, Azure, internal apps). Integrate AI agents with enterprise systems (e.g. CRM, ERP, scheduling, inventory, data platforms) via APIs and microservices. Collaborate with data engineers to design data pipelines, retrieval layers (vector stores, search indices) and large scale processing using big data frameworks. Implement monitoring, logging and analytics to track usage, performance, quality and user satisfaction, and lead optimisation to address issues such as drift, hallucinations and latency. Contribute to AI engineering standards, guardrails and best practices, and support incident investigation and resolution with Service Delivery. Ensure solutions comply with security, privacy, compliance and ethical AI requirements, including access controls, data protection and risk assessments. Share knowledge and mentor colleagues to build AI literacy and capability across IT and the wider business. A little bit about you Degree in Computer Science, Data Science, Software Engineering, Mathematics, Engineering or a closely related field. Previous experience in AI, data science, ML engineering or advanced analytics. Hands on experience designing, building and deploying Copilot and/or agentic AI solutions (e.g. Microsoft 365 Copilot extensions, Azure OpenAI based copilots, custom AI assistants/agents). Strong proficiency in Python for AI/ML development, including use of common ML and data libraries (e.g. TensorFlow/PyTorch, scikit learn, pandas, NumPy). Proven experience integrating AI services with enterprise systems via APIs and event driven architectures. Practical experience with LLMs, prompt engineering, RAG and tools/plugins for agents and copilots. Familiarity with cloud platforms (ideally Azure) and AI services (e.g. Azure OpenAI, Azure Machine Learning, or equivalents). Experience working in agile, cross functional delivery teams. Postgraduate study or certifications in AI, machine learning or data science. Cloud certifications (e.g. Azure, GCP, AWS) and relevant AI/ML credentials. Experience with big data and distributed computing (e.g. Spark, Databricks, Hadoop or cloud native alternatives). Experience with containerisation and DevOps/MLOps tools (e.g. Docker, Kubernetes, Git, CI/CD, MLflow, Airflow). Strong experience with data engineering concepts (ETL/ELT, data integration, warehousing, vector databases/search). We are committed to equal employment opportunities regardless of race, colour, ancestry, religion, national origin, sexual orientation, age, citizenship, marital status, disability or gender identity.