CVFine by Instrovate Technologies

CVFine by Instrovate Technologies is seeking an M365 Copilot Administrator in the UK to own the deployment, governance, and optimization of Microsoft 365 Copilot for an enterprise workforce. Responsibilities include managing data governance, ensuring compliance, and training users on Copilot features. The role offers a salary range of £55,000-£75,000, with a flexible hybrid working arrangement. This is a highly technical position requiring substantial Microsoft 365 experience and Copilot expertise.

# M365 Copilot AdministratorEnterprise Microsoft 365 TeamHybrid UK £55,000-£75, days ago 13 interestedMicrosoft 365 CopilotSharePointTeamsEntra IDPower Platform Job DescriptionThe M365 Copilot Administrator owns the technical deployment, governance and optimisation of Microsoft 365 Copilot across an enterprise workforce - ensuring that licences translate into active, effective usage while managing the data governance, security and compliance requirements that enterprise Copilot deployment demands. This is a technically deep role that sits at the intersection of Microsoft 365 administration, data governance and AI adoption.Role & Responsibilities:• Own the Microsoft 365 Copilot deployment: licence management, feature enablement, rollout sequencing and user provisioning across the organisation• Configure and maintain Copilot governance controls: sensitivity label policies, SharePoint oversharing remediation, data access reviews and Copilot usage policies• Manage Microsoft 365 data estate for Copilot readiness: auditing SharePoint content accessibility, cleaning up orphaned sites, reviewing permissions and ensuring Copilot only surfaces content users should access• Deploy and configure Microsoft Purview for Copilot governance: data classification, retention policies, Copilot interaction logging and compliance reporting• Monitor Copilot adoption and usage: Microsoft Copilot Dashboard analysis, usage trend reporting, identifying low-adoption teams and driving targeted interventions• Manage Copilot extensibility: deploying and governing Copilot plugins, Graph connectors and declarative agents built by internal or external developers• Build and deliver M365 Copilot training for end users: Teams Copilot, Word Copilot, Excel Copilot, Outlook Copilot and Copilot Pages - practical, role-specific training that drives adoption• Support the Power Platform Copilot rollout: Copilot Studio agent deployment, governance policies and integration with M365 Copilot experiencesRequired Skills & Experience:• 4+ years of Microsoft 365 administration experience with at least 1 year focused on Copilot or AI features• Deep Microsoft 365 technical knowledge: Exchange Online, SharePoint Online, Teams, OneDrive, Entra ID and Purview• Hands-on Microsoft 365 Copilot deployment experience - you have configured Copilot governance, managed licence assignment and addressed oversharing issues in production• Microsoft Purview experience: sensitivity labels, data classification, compliance policies and audit capabilities• Understanding of Microsoft Graph and Copilot extensibility: plugins, connectors and declarative agent deployment• Microsoft 365 Certified: Administrator Expert (MS-102) required; Microsoft 365 Copilot certification is a strong advantage• Power Platform administration experience is advantageousWhat We Offer:• Technical ownership of M365 Copilot for an enterprise workforce• Salary £55,000-£75,000 based on experience• Hybrid working with flexible remote arrangement• Microsoft partner resources and early access to Copilot preview featuresThe M365 Copilot Administrator is the person who ensures Copilot licences deliver real productivity value - not just by deploying the feature, but by governing the data, training the users and measuring the outcomes. If you have deployed M365 Copilot at enterprise scale and understand the governance challenges it creates, this role is yours.

CVFine by Instrovate Technologies is looking for a hands-on engineer to develop cutting-edge ML products that enhance customer experiences. This role involves rapid research-to-production cycles for innovative ML applications, partnering with a diverse cross-functional team to deliver effective solutions. The ideal candidate will have a strong foundation in machine learning, a minimum of 5 years of practical experience, and proficiency in Python, Java, and SQL. The position offers competitive compensation and various benefits, encouraging a focus on excellence and innovation.

# Member of Technical Staff (AI Inference Engineer)PerplexityVia company siteLondon, UK, United Kingdom 56 days ago 0 interestedAIPython Job DescriptionWe are looking for an AI Inference Engineer to join our growing team. We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL. Responsibilities: New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway. GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow. Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic. Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernels interleaving. Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents. Who we're looking for: Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus. You understand modern LLM architectures and are able to bring them up reliably in a production environment. You've built and operated production distributed systems under real load - ideally performance-critical ones. Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels. You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday. Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you. Nice-to-have: ML compilers and framework internals: PyTorch internals, torch.compile, custom operators. Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism. Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving. Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis. Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads. Qualifications: 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems. Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow). Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores). Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation).Final offer amounts are determined by multiple factors including experience and expertise. Equity: In addition to the base salary, equity may be part of the total compensation package.

CVFine by Instrovate Technologies in Greater London is seeking an AI Inference Engineer. The role involves supporting transformer-based models, migrating GPU kernels, and developing a Rust-based inference server. Candidates should have extensive experience in GPU programming and ML systems. The position offers opportunities for performance optimization and reliability improvements. Additional work in ML compilers and frameworks is a plus, making this an ideal role for proficient software engineers.

CVFine by Instrovate Technologies is looking for a GitHub Advanced Security Engineer to embed security in the development workflow within an enterprise engineering organization. This role focuses on deploying and configuring GitHub Advanced Security, writing custom CodeQL queries, and working with development teams to integrate security smoothly. The ideal candidate will have over 5 years of experience in application security or DevSecOps, strong CodeQL expertise, and a GitHub Advanced Security certification. This is a remote-first position with a competitive salary of £80,000-£105,000 based on experience.

CVFine by Instrovate Technologies is looking for a Workday Integration Specialist to manage complex integrations across their clients in the UK and US. You will design, build, and support Workday integrations while ensuring data consistency across systems. The ideal candidate will have over 4 years of experience in Workday integration development and proficiency in Workday Studio and related tools. The position offers a fully remote working environment and competitive compensation ranging from £70,000 to £90,000.