Microsoft Intune & Windows 11 Specialist End User Compute Transformation – Fixed Term Contract Contract Type: Fixed Term Contract Duration: 3–6 months Start Date: January Location: Remote (UK-based only) Role Overview Leeds City Council is seeking an experienced Microsoft Intune and Windows 11 specialist to support the End User Compute team during a period of transformation. The role will focus on replicating an existing Microsoft Intune configuration, policies, and application estate into an arms-length organisation, while also identifying opportunities to streamline, standardise, and optimise the current implementation. The successful candidate will act as a subject matter expert across Intune and modern endpoint management, supporting both project delivery and BAU activities. Key Responsibilities<ul><li>Migrate and configure Microsoft Intune policies, device compliance settings, and application deployments into a target tenant</li><li>Replicate and optimise existing Intune configurations and application estates</li><li>Review and rationalise policies and configurations to improve consistency and reduce technical debt</li><li>Produce clear technical documentation, including runbooks and SOPs</li><li>Deliver structured knowledge transfer to internal support teams to enable long-term self-sufficiency</li><li>Provide subject matter expertise for Intune-related BAU activities</li><li>Support user and support team adoption through guidance, training materials, and troubleshooting</li></ul>Technical Requirements Essential Skills & Experience Microsoft Intune / Endpoint Manager <ul><li>Device configuration profiles including Wi-Fi, VPN, certificates, and custom OMA-URI</li><li>Compliance policies integrated with Conditional Access</li><li>Windows Autopilot deployment profiles and ESP configuration</li><li>Win32 application packaging and deployment</li><li>Update rings and Windows feature update management</li><li>Endpoint security policies including antivirus, firewall, disk encryption, and ASR rules</li></ul>Windows 11 <ul><li>Enterprise Windows 11 deployment and migration experience</li><li>Feature update planning and compatibility assessment</li><li>Troubleshooting modern management and cloud-managed endpoint scenarios</li></ul>Microsoft 365 & Entra ID <ul><li>Entra ID (Azure AD) device identity and hybrid join configurations</li><li>Conditional Access policy design and implementation</li><li>Microsoft 365 Apps deployment and update channel management</li><li>Group-based policy targeting and dynamic groups</li></ul>General <ul><li>Strong documentation skills, including technical runbooks and SOPs</li><li>Excellent communication skills with the ability to deliver knowledge transfer and engage stakeholders</li></ul>Desirable<ul><li>Experience working within the public sector or other regulated environments</li></ul>

Microsoft Intune / Windows 11 Specialist

AI Pre-Sales Integration Architect  I am working with a leading technology services organisation seeking a senior AI Pre-Sales Integration Architect to act as the technical authority between customers, sales teams, and delivery architects. This is a customer-facing, pre-sales and solution architecture role, focused on shaping and positioning AI solutions rather than pure research or back-office delivery. You’ll lead AI engagements end to end — from early discovery and use-case definition through to high-level architecture and platform design. The role covers areas such as Predictive AI, Machine Learning and Generative AI, MLOps, data pipelines and modern AI platforms, across both cloud and private infrastructure. Alongside customer work, you’ll contribute to the development of AI offerings, standards and propositions, while supporting and mentoring other architects within the wider team. Key Responsibilities •    Act as the AI subject matter expert in customer engagements, working directly with business stakeholders, data teams and IT operations. •    Lead discovery and design of AI strategies, governance models and platform architectures aligned to business outcomes. •    Design end-to-end AI solutions, including data ingestion, feature engineering, ML/GenAI models, MLOps and deployment. •    Support pre-sales activity, including solution shaping, technical validation, demos and customer presentations. •    Bridge multiple technology domains (cloud, hybrid infrastructure, data platforms, security, DevOps) into cohesive AI solutions. •    Contribute to the evolution of AI propositions, offerings and best practices. •    Mentor and support less experienced team members, contributing to team-wide capability development. Skills & Experience Required •    5 years’ experience in AI / ML, data platforms, MLOps or advanced analytics roles. •    Recognised as a technical expert by colleagues, partners and customers. •    Strong hands-on knowledge of AI/ML frameworks such as PyTorch, TensorFlow, scikit-learn. •    Experience working with cloud AI platforms (AWS, Azure or GCP). •    Exposure to private / on-prem AI platforms (e.g. NVIDIA-based stacks, private AI platforms). •    Solid understanding of data engineering concepts (ETL, data lakes, Spark or similar). •    Experience designing scalable, distributed systems. •    Familiarity with model lifecycle management and MLOps practices. •    Proven ability to align AI initiatives to business outcomes and shape practical use cases. •    Experience in client-facing and pre-sales environments. •    Broad technology background, with depth in at least one of: Cloud, Hybrid Infrastructure, Workspace or Security. •    Strong commercial awareness; channel or partner experience is advantageous. •    Experience mentoring or leading small teams is a plus. Personal Attributes •    Credible, ambitious and accountable, with the confidence to influence senior stakeholders. •    Clear, concise communicator — comfortable presenting complex concepts to both technical and non-technical audiences. •    Detail-oriented, organised, and able to manage multiple priorities in a fast-moving environment. •    Naturally curious, with a strong appetite for learning and staying current with AI trends. •    Proactive, pragmatic, and delivery-focused with a strong “can-do” mindset. •    Willing to travel occasionally while maintaining a healthy work–life balance.

Remote - AI Pre-Sales Integration Architect

Job Position: Software Engineer (m/f/d) – 8DAX1 R&D SW Platform Core & Data Services Location: Dresden, Germany Working Hours: Full-time, 40 hours per week Start Date: January 1, 2026 Contract Duration: Up to 24 months Remote Work: Up to 60% possible after initial onboarding; no fully remote work available Security Clearance: Standard nationalities list applies; No NfD or Ü2 required Career Starters: Not suitable Core Responsibilities – Software Engineer Dresden<ul><li>Development & Maintenance of Core Platform Services: Design, develop, and maintain critical services including Single Sign-On (SSO), Multi-Factor Authentication (MFA), user and group management, and data persistence solutions.</li><li>Microservices Architecture: Contribute to the evolution and implementation of scalable, maintainable, and secure service-oriented architectures.</li><li>Technology Stack Implementation: Build, deploy, and manage containerized services using Java, Golang, C#, and/or C within a Kubernetes environment.</li><li>Collaboration & Delivery: Work closely with development, product, and security teams throughout the full software development lifecycle (SDLC) to deliver high-quality, secure solutions.</li></ul>Required Qualifications<ul><li>Education & Experience: Bachelor's degree in Computer Science or related field, with 2 years of hands-on software development experience.</li><li>Technical Proficiency: Strong knowledge of Java, Golang, C#, and/or C , authentication and authorization protocols (OAuth2, OIDC, SAML), user and permission management, event-driven infrastructures, and security in service-oriented architectures (SOA).</li><li>Database & Data Pipeline Knowledge: Experience with PostgreSQL, MongoDB, Redis, Kafka, Flink, and cluster management tools like Patroni or Strimzi.</li><li>Cloud & Containerization: Familiarity with Docker and orchestration platforms such as Kubernetes.</li><li>DevOps & Agile Practices: Hands-on experience with CI/CD pipelines, Git version control, and agile development methodologies.</li><li>Tool Proficiency: Advanced knowledge of Gitlab/Git, Docker, Kubernetes, and at least one programming language from Java, Golang, C#, or C .</li></ul>Bonus Skills (Optional)<ul><li>Experience with Identity Providers (e.g., KeyCloak, Okta) and MFA solutions.</li><li>Knowledge of Secret Stores, Vaults, and certificate management.</li><li>Familiarity with Service Registries and security aspects of service-oriented systems.</li><li>Advanced experience with databases, data pipelines, and event-driven systems.</li><li>Exposure to workflow automation, orchestration, and cluster-capable architectures.</li><li>Knowledge of modern web technologies and front-end integrations.</li></ul>Why Join Us in Dresden<ul><li>Be part of a cutting-edge R&D software platform team focusing on core and data services.</li><li>Work in a collaborative environment that values security, scalability, and innovation.</li><li>Opportunity to develop skills in microservices, cloud-native architecture, and containerized environments.</li></ul>

Software Engineer (m/f/d) – 8DAX1 R&D SW Platform Core & Data Services - Hybrid in Dresden (24 Month Contract)

Previously working as an account manager in the public sector for the last 4 years, Luke joins our Contract team focusing on the Cloud and End-User Computing sector. 

Microsoft Intune / Windows 11 Specialist

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Luke Roberts

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