Workshop Manager About the Role An exciting opportunity has arisen for an experienced Workshop Manager to lead the end-to-end repair, refurbishment and operational management of a busy technical workshop supporting a large-scale, customer-facing technology environment. The successful candidate will provide both strategic and operational leadership, ensuring the efficient repair of electronic equipment, effective resource planning, high-quality technical outputs and continuous improvement across workshop operations. You will manage a multidisciplinary team including Workshop Team Leaders, Repair Engineers, Technical Specialists and Administrative Support, whilst also overseeing third-party logistics providers to ensure seamless delivery of services. Key Responsibilities Lead the day-to-day operation of the technical workshop, ensuring the timely repair, refurbishment and testing of returned equipment and assets. Provide leadership to Workshop Team Leaders, Repair Engineers, Technical Specialists, Stores personnel and Administrative staff to ensure consistent service delivery. Ensure compliance with quality standards, repair procedures, health and safety requirements and agreed service performance measures. Act as the senior escalation point for complex technical and operational issues arising within the workshop. Plan and prioritise repair activities, allocating resources and technical expertise to maximise productivity and turnaround times. Oversee stock control, spare parts availability and inventory management, working closely with logistics and stores functions. Drive workforce development through coaching, performance management, skills development and succession planning. Manage relationships with third-party logistics providers, ensuring service level agreements are achieved and operational performance is maintained. Support forecasting, capacity planning, budgeting and operational improvement initiatives alongside senior leadership. Produce regular management reports covering workshop performance, repair turnaround times, quality metrics, risks and continuous improvement activities. Identify opportunities to improve workshop efficiency, repair processes and overall operational performance. Skills & Experience Essential Degree or equivalent qualification in Engineering, Electronics, Telecommunications, Industrial Engineering or a related technical discipline. Significant experience managing technical workshop operations, repair centres or engineering service environments. Strong understanding of electronic, electro-mechanical and PC-based equipment diagnostics, repair and refurbishment. Proven experience leading multidisciplinary technical teams within operational environments. Strong knowledge of quality assurance, operational governance and continuous improvement methodologies. Experience planning resources, managing workflow and balancing multiple repair priorities. Demonstrable experience delivering against operational KPIs such as repair turnaround times, quality targets and service performance measures. Excellent stakeholder management and communication skills, including experience managing third-party suppliers or logistics partners. Strong organisational, analytical and problem-solving skills. Ability to perform effectively in fast-paced, high-volume, quality-driven operational environments. Desirable Experience supporting customer-facing technology, payment systems, access control, ticketing equipment or similar operational hardware. Knowledge of workshop quality management systems and continuous improvement methodologies. Experience with inventory management, spare parts planning and logistics coordination. Background in diagnostic engineering, fault finding, root cause analysis or repair methodology development. Familiarity with ITIL or other service management frameworks.
Aug 19, 2026
Full time
Workshop Manager About the Role An exciting opportunity has arisen for an experienced Workshop Manager to lead the end-to-end repair, refurbishment and operational management of a busy technical workshop supporting a large-scale, customer-facing technology environment. The successful candidate will provide both strategic and operational leadership, ensuring the efficient repair of electronic equipment, effective resource planning, high-quality technical outputs and continuous improvement across workshop operations. You will manage a multidisciplinary team including Workshop Team Leaders, Repair Engineers, Technical Specialists and Administrative Support, whilst also overseeing third-party logistics providers to ensure seamless delivery of services. Key Responsibilities Lead the day-to-day operation of the technical workshop, ensuring the timely repair, refurbishment and testing of returned equipment and assets. Provide leadership to Workshop Team Leaders, Repair Engineers, Technical Specialists, Stores personnel and Administrative staff to ensure consistent service delivery. Ensure compliance with quality standards, repair procedures, health and safety requirements and agreed service performance measures. Act as the senior escalation point for complex technical and operational issues arising within the workshop. Plan and prioritise repair activities, allocating resources and technical expertise to maximise productivity and turnaround times. Oversee stock control, spare parts availability and inventory management, working closely with logistics and stores functions. Drive workforce development through coaching, performance management, skills development and succession planning. Manage relationships with third-party logistics providers, ensuring service level agreements are achieved and operational performance is maintained. Support forecasting, capacity planning, budgeting and operational improvement initiatives alongside senior leadership. Produce regular management reports covering workshop performance, repair turnaround times, quality metrics, risks and continuous improvement activities. Identify opportunities to improve workshop efficiency, repair processes and overall operational performance. Skills & Experience Essential Degree or equivalent qualification in Engineering, Electronics, Telecommunications, Industrial Engineering or a related technical discipline. Significant experience managing technical workshop operations, repair centres or engineering service environments. Strong understanding of electronic, electro-mechanical and PC-based equipment diagnostics, repair and refurbishment. Proven experience leading multidisciplinary technical teams within operational environments. Strong knowledge of quality assurance, operational governance and continuous improvement methodologies. Experience planning resources, managing workflow and balancing multiple repair priorities. Demonstrable experience delivering against operational KPIs such as repair turnaround times, quality targets and service performance measures. Excellent stakeholder management and communication skills, including experience managing third-party suppliers or logistics partners. Strong organisational, analytical and problem-solving skills. Ability to perform effectively in fast-paced, high-volume, quality-driven operational environments. Desirable Experience supporting customer-facing technology, payment systems, access control, ticketing equipment or similar operational hardware. Knowledge of workshop quality management systems and continuous improvement methodologies. Experience with inventory management, spare parts planning and logistics coordination. Background in diagnostic engineering, fault finding, root cause analysis or repair methodology development. Familiarity with ITIL or other service management frameworks.
Role overview The Hardware Engineer is responsible for supporting the development, integration and lifecycle management of hardware systems across the service. The role focuses on requirements analysis, technical documentation, hardware design activities, component selection and compliance assurance. Working closely with engineering, production, quality and project teams, the Hardware Engineer ensures that hardware solutions meet performance, reliability, maintainability and regulatory requirements throughout the system lifecycle. Key Responsibilities Perform requirements analysis and contribute to the specification and design of hardware systems. Analyse and maintain technical documentation, including schematics, wiring diagrams, drawings and design records. Develop, review and manage Bills of Materials (BOMs), ensuring component suitability, availability and compliance. Define wiring designs and support hardware architecture and component selection activities. Support the creation and modification of technical drawings and 3D models using CAD tools. Ensure compliance with CE marking requirements and applicable environmental standards. Provide engineering support during manufacturing, integration, testing and troubleshooting activities. Collaborate with systems, software, mechanical and production teams throughout the project lifecycle. Requirements Essential Minimum 2 years of experience in hardware engineering or a related discipline. Experience in requirements analysis and hardware system design. Experience preparing and maintaining technical documentation. Knowledge of BOM definition, evaluation and management. Experience in wiring design and hardware architecture development. Understanding of CE marking requirements and environmental compliance standards. Proficiency in Microsoft Visio, Excel and Word. Experience using CAD tools for technical drawings and 3D design. Strong analytical, problem-solving and communication skills. Desirable Experience within transport, defence, aerospace or other regulated industries. Knowledge of configuration management and engineering change processes. Experience supporting manufacturing, testing or system integration activities. Familiarity with electrical and electronic system development.
Aug 13, 2026
Full time
Role overview The Hardware Engineer is responsible for supporting the development, integration and lifecycle management of hardware systems across the service. The role focuses on requirements analysis, technical documentation, hardware design activities, component selection and compliance assurance. Working closely with engineering, production, quality and project teams, the Hardware Engineer ensures that hardware solutions meet performance, reliability, maintainability and regulatory requirements throughout the system lifecycle. Key Responsibilities Perform requirements analysis and contribute to the specification and design of hardware systems. Analyse and maintain technical documentation, including schematics, wiring diagrams, drawings and design records. Develop, review and manage Bills of Materials (BOMs), ensuring component suitability, availability and compliance. Define wiring designs and support hardware architecture and component selection activities. Support the creation and modification of technical drawings and 3D models using CAD tools. Ensure compliance with CE marking requirements and applicable environmental standards. Provide engineering support during manufacturing, integration, testing and troubleshooting activities. Collaborate with systems, software, mechanical and production teams throughout the project lifecycle. Requirements Essential Minimum 2 years of experience in hardware engineering or a related discipline. Experience in requirements analysis and hardware system design. Experience preparing and maintaining technical documentation. Knowledge of BOM definition, evaluation and management. Experience in wiring design and hardware architecture development. Understanding of CE marking requirements and environmental compliance standards. Proficiency in Microsoft Visio, Excel and Word. Experience using CAD tools for technical drawings and 3D design. Strong analytical, problem-solving and communication skills. Desirable Experience within transport, defence, aerospace or other regulated industries. Knowledge of configuration management and engineering change processes. Experience supporting manufacturing, testing or system integration activities. Familiarity with electrical and electronic system development.
Overview We are seeking a Responsible AI Governance Specialist to support our Digital Engineering function, ensuring Responsible AI principles are Embedded throughout AI-enabled software development life cycle (SDLC) processes, engineering platforms and product delivery. Working closely with Engineering, Platform, Product, Privacy, Data Governance and Cyber Security teams, you will provide governance, advisory and compliance support across AI development initiatives. This role is instrumental in helping the organisation develop, deploy and manage AI solutions that are ethical, transparent, secure and compliant with evolving regulatory requirements. You will play a key role in AI governance, Responsible AI assessments, model evaluations and risk management, helping engineering teams build AI solutions that meet both business objectives and regulatory expectations. Key Responsibilities Develop, maintain and continuously improve AI governance frameworks, policies, standards, procedures and best practices for the development and use of AI systems. Support Responsible AI assessments and governance reviews to identify, assess and mitigate ethical, legal and operational risks. Partner with Engineering, Platform and Product teams to embed Responsible AI principles-including transparency, explainability, robustness, accountability and fairness-into AI-enabled SDLC processes and engineering workflows. Lead and perform AI model evaluations, including: Fairness and bias testing Robustness and resilience assessments Model lineage verification Model card validation Documentation and governance reviews Coordinate governance activities across Engineering, Product, Privacy, Data Governance and Security functions to ensure consistent application of AI governance standards. Evaluate third-party AI tools, foundation models and AI-enabled solutions against Responsible AI and regulatory requirements. Support supplier and supply chain assessments where external AI technologies are incorporated into engineering platforms and development workflows. Provide expert guidance to senior stakeholders on ethical, safe and compliant AI development, with a particular focus on engineering platforms, AI-enabled software delivery and operational risk. Monitor emerging AI legislation, standards and industry best practices, helping ensure ongoing compliance with an evolving regulatory landscape. Required Skills & Experience Minimum of 2 years' experience in AI Governance, Responsible AI, AI Ethics, AI Risk, AI Compliance, AI Engineering or a related discipline. Strong understanding of Responsible AI principles, AI ethics and governance frameworks. Good working knowledge of GDPR and data protection requirements. Understanding of the EU AI Act and broader AI regulatory developments, with the ability to interpret and apply evolving legislation. Experience supporting AI governance, model risk management or AI assurance activities is highly desirable. Relevant degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Law, Ethics, Social Sciences or a related discipline. Excellent communication and stakeholder management skills, with the ability to engage both technical and non-technical audiences. Confident presenting recommendations and governance outcomes to senior stakeholders. Comfortable working within a complex, matrixed organisation and collaborating across multiple technical and business teams. Desirable Experience Experience working within software engineering or digital product development environments. Familiarity with AI model life cycle management, MLOps or AI-enabled SDLC practices. Knowledge of AI governance frameworks such as NIST AI RMF, ISO/IEC 42001, ISO 23894 or similar. Experience assessing third-party AI vendors or AI-enabled SaaS platforms. Understanding of model explainability, bias detection, AI assurance or AI risk assessment methodologies.
Jul 21, 2026
Contractor
Overview We are seeking a Responsible AI Governance Specialist to support our Digital Engineering function, ensuring Responsible AI principles are Embedded throughout AI-enabled software development life cycle (SDLC) processes, engineering platforms and product delivery. Working closely with Engineering, Platform, Product, Privacy, Data Governance and Cyber Security teams, you will provide governance, advisory and compliance support across AI development initiatives. This role is instrumental in helping the organisation develop, deploy and manage AI solutions that are ethical, transparent, secure and compliant with evolving regulatory requirements. You will play a key role in AI governance, Responsible AI assessments, model evaluations and risk management, helping engineering teams build AI solutions that meet both business objectives and regulatory expectations. Key Responsibilities Develop, maintain and continuously improve AI governance frameworks, policies, standards, procedures and best practices for the development and use of AI systems. Support Responsible AI assessments and governance reviews to identify, assess and mitigate ethical, legal and operational risks. Partner with Engineering, Platform and Product teams to embed Responsible AI principles-including transparency, explainability, robustness, accountability and fairness-into AI-enabled SDLC processes and engineering workflows. Lead and perform AI model evaluations, including: Fairness and bias testing Robustness and resilience assessments Model lineage verification Model card validation Documentation and governance reviews Coordinate governance activities across Engineering, Product, Privacy, Data Governance and Security functions to ensure consistent application of AI governance standards. Evaluate third-party AI tools, foundation models and AI-enabled solutions against Responsible AI and regulatory requirements. Support supplier and supply chain assessments where external AI technologies are incorporated into engineering platforms and development workflows. Provide expert guidance to senior stakeholders on ethical, safe and compliant AI development, with a particular focus on engineering platforms, AI-enabled software delivery and operational risk. Monitor emerging AI legislation, standards and industry best practices, helping ensure ongoing compliance with an evolving regulatory landscape. Required Skills & Experience Minimum of 2 years' experience in AI Governance, Responsible AI, AI Ethics, AI Risk, AI Compliance, AI Engineering or a related discipline. Strong understanding of Responsible AI principles, AI ethics and governance frameworks. Good working knowledge of GDPR and data protection requirements. Understanding of the EU AI Act and broader AI regulatory developments, with the ability to interpret and apply evolving legislation. Experience supporting AI governance, model risk management or AI assurance activities is highly desirable. Relevant degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Law, Ethics, Social Sciences or a related discipline. Excellent communication and stakeholder management skills, with the ability to engage both technical and non-technical audiences. Confident presenting recommendations and governance outcomes to senior stakeholders. Comfortable working within a complex, matrixed organisation and collaborating across multiple technical and business teams. Desirable Experience Experience working within software engineering or digital product development environments. Familiarity with AI model life cycle management, MLOps or AI-enabled SDLC practices. Knowledge of AI governance frameworks such as NIST AI RMF, ISO/IEC 42001, ISO 23894 or similar. Experience assessing third-party AI vendors or AI-enabled SaaS platforms. Understanding of model explainability, bias detection, AI assurance or AI risk assessment methodologies.
