7 of 7 Remote/Hybrid Service Management Jobs in Slough

leading Banking client are looking for a talented and motivated individual to take responsibility for end-to-end service integration and performance management across a portfolio of IT services delivered by multiple suppliers and providers, ensuring consistent delivery, control and accountability across multiple suppliers and regions. This … newly created role in a growing area of the business. A brilliant opportunity! Job Responsibilities Owning the end-to-end service outcome across multiple suppliers and service providers. Driving cross-supplier collaboration, issue resolution and service improvement activities. Holding suppliers accountable for service performance and service ...

Location: Datchet, Slough Job ID: R0141950 Date Posted: 2026-08-21 Company Name: HITACHI EUROPE LTD. Profession (Job Category): Project/Program Management Job Schedule: Full time Remote: No Company Overview Through its Social Innovation Business that brings together IT, OT(Operational Technology) and products, Hitachi contributes … Ditton Park, Datchet in the UK with offices throughout Europe. The Information Technology Group of Hitachi Europe Ltd is part of Hitachi’s shared service for EMEA (Europe, Middle East and Africa) and responsible for delivery of IT services to Hitachi companies in our region. What ...

inclusive environment that helps them thrive. Our client, a leading player in the financial services industry, is seeking an experienced Identity & Access Management Operations Analyst at the VP level to bolster their IAM operations across EMEA. This is an exciting opportunity for a talented professional who thrives … dynamic environment and is eager to make a significant impact on access management services. Role: Identity & Access Management Operations Analyst, VP Duration: 12 Months Location: London (Hybrid, 2 - 3 days a week in office) Rate: £750 per day (umbrella) Role Summary: In this pivotal role, the successful candidate ...

Lake, Unity Catalog, access controls, and production support) Experience implementing MLOps practices across the model lifecycle (CI/CD, versioning, monitoring, reproducibility) Strong stakeholder management; able to translate business outcomes into platform priorities and service commitments. Experience working with security, risk, and governance teams to evidence controls … data and AI services Experience managing suppliers and delivery partners, including service performance and support processes. Heavy on Databricks Key Responsibilities: Own and manage the day-to-day operation of the Databricks Lakehouse Platform and MLOps services, ensuring high availability, performance, security, and user satisfaction. Lead platform service ...

Humankind Global Recruitment is looking for a Head of Service Delivery in London on a hybrid basis. This fixed-term maternity cover will oversee IT service delivery across regions, ensure SLA adherence and strong client satisfaction while guiding a cross-functional team. You will establish service management ...

handover activities. What We're Looking For Previous experience in a Project Coordinator, PMO, or Project Manager role. Experience supporting technology, infrastructure, outsourcing, supplier management, or transition projects. Strong organisational skills with the ability to manage multiple workstreams simultaneously. Experience maintaining project plans, governance packs, RAID logs, and status … reporting. Excellent stakeholder management and communication skills. Ability to work effectively across business, technology, and third-party partner teams. Strong attention to detail and proactive problem-solving approach. Desirable Experience Experience supporting supplier exits, contract transitions, or vendor offboarding activities. Retail industry experience. Knowledge of IT service management ...

MLOps AI Lead & Databricks Platform Specialist to own the Databricks Lakehouse Platform and drive robust MLOps capabilities across the enterprise. The role involves platform service management, security governance, and collaborating with Data Engineering and Data Science teams to operationalize ML models through CI/CD, testing, deployment ...