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Head of IOT Platform Development Edinburgh £100,000 - £115,000 Are you a platform engineering leader with a passion for IoT, scalability, and cutting-edge cloud architecture? Be-IT is working exclusively with a high-growth technology company based in central Edinburgh to find an exceptional Head of IoT SaaS Platform Development to lead the evolution of their flagship cloud-native platform. This is a rare opportunity to join a well-funded, scaling business at an exciting inflection point — with investment coming in and ambitious plans to grow from 500 to 10,000 connected devices over the next 2–3 years. About the Role Our client has been developing a cloud-native AWS SaaS platform for the past three years, built on a React front-end and Django web application framework with fully native AWS services for database, security, and deployment. As the business scales and onboards new customers and devices, they are now looking for a senior technical leader to drive significant improvements in performance, scalability, and high-volume data ingestion.The platform receives telemetry from environmental sensors (including infrared and visual monitoring devices) deployed across critical infrastructure sites. Anomaly detection triggers high-volume data transmission to the platform, which is used to generate actionable condition reports for customers — for example, identifying thermal stress in underground cabling or circuits before failure occurs.You will lead the development and technical direction of the SaaS platform, overseeing a current team of five (infrastructure/DevOps, application developers, and front-end/full-stack engineers) with plans to grow by a further three this year — including two AI application developers and an additional core applications engineer. Key Responsibilities• Lead the architectural direction and ongoing development of the AWS cloud-native IoT SaaS platform, with a focus on scalability, performance, and high-volume data ingestion• Drive improvements across loose-coupled device-to-platform integrations, ensuring devices are more closely monitored and managed• Oversee the roadmap for AI/ML applications, including the split of AI capabilities between edge devices and the central platform• Build out a set of API services enabling customers to integrate platform data, alerts, and insights into their own applications• Collaborate closely with the device engineering team to ensure seamless integration and co-development across interconnected systems• Work alongside the customer-facing team (primarily based in North America) to translate feature requests into scalable platform solutions — providing what customers need, not just what they ask for• Manage, mentor, and grow the platform team, with additional headcount planned for this year• Make high-impact design decisions and bring in third-party technologies where appropriate to accelerate the platform roadmap What We're Looking For Our client is open on background but the ideal candidate will bring:• Demonstrable experience working in an environment dealing with connected sensors and IoT devices and AWS-native architectures• Experience leading or architecting a SaaS platform — whether as a tech lead, chief engineer, principal architect, or platform lead — with responsibility for design decisions and third-party technology selection• Hands-on familiarity with cloud-native technologies including AWS, Kubernetes, Django, and React, plus a solid grasp of data storage topologies (RDS, time-series, NoSQL) and hot/warm/cold data layer concepts• Understanding of IoT connectivity protocols (MQTT, AMQP, HTTPS), device provisioning and lifecycle management, and real-time streaming and analytics pipelines• A strong understanding of platform scalability, performance engineering, design patterns, and API service design• Familiarity with AI/ML application development on connected device data would be highly advantageous• Strong collaboration skills — this role requires working across the platform team, device team, customer success, and sales functions• Comfortable working in person: the Edinburgh office has a collaborative and flexible culture • People leadership experience is beneficial but not essential — the ability to influence and make technical decisions is the priority If this sounds like the right role for you, then please get in touch with Christina Hall for more information -

Senior Cloud Architect | Edinburgh (Hybrid Working) | Competitive Salary & Great Benefits Quorum is looking for a Senior Cloud Architect to join our growing team. This is a hands-on, client-facing role where you’ll design, deliver, and assure secure, resilient cloud and hybrid solutions across leading platforms. You’ll lead technical discovery, define target architectures, and guide delivery teams to ensure solutions are implemented safely, predictably, and cost-effectively. Alongside this, you’ll play a key role in shaping client strategy, improving delivery standards, and mentoring engineers. Key Responsibilities of the Senior Cloud Architect: • Lead technical discovery, translating business goals into scalable cloud and hybrid architectures, • Support pre-sales and bid activities, shaping solution designs, estimates, and technical approaches, • Define target architectures, reference patterns, and guardrails (including landing zones), • Design security-by-design solutions (IAM, encryption, secrets management, monitoring, policy enforcement), • Architect resilient platforms with clear backup, disaster recovery, and operational strategies (RTO/RPO aligned), • Enable delivery through Infrastructure as Code, CI/CD pipelines, and automation best practices, • Provide architecture assurance—reviewing designs, managing risks, and ensuring alignment to scope, cost, and security, • Support FinOps practices including cost modelling, tagging strategies, and optimisation, • Proven experience designing and delivering cloud and hybrid architectures in a consultancy or multi-client environment, • Strong knowledge of networking, connectivity, and segmentation (including secure ingress/egress and private connectivity), • Solid security foundations: IAM, least privilege, encryption, secrets management, and monitoring, • Experience designing highly available, multi-region architectures with defined disaster recovery strategies, • Automation-first mindset with Infrastructure as Code, configuration management, and CI/CD pipelines, • Excellent communication skills, with the ability to engage both technical and non-technical stakeholders You’ll work across a modern cloud ecosystem, including: • Public cloud & hybrid platforms, • Containers/Kubernetes and autoscaling compute, • Networking (DNS, load balancing, segmentation, private connectivity), • Security (IAM, MFA, encryption, policy enforcement), • Storage & data services (object/block/file, backup, replication), • Automation (IaC, pipelines, scripting) Quorum is an employee-owned IT consultancy, delivering managed services, projects, and professional services to organisations across the public and private sectors. We offer a highly competitive package and a culture that genuinely supports your growth: • Competitive salary, • Contributory pension & private healthcare, • Buy/sell holiday scheme, • Paid home broadband, • Annual bonus for Microsoft accreditations, • Personal technical development budget, • Award-winning, family-friendly working culture Apply Now If you enjoy solving complex technical challenges and delivering meaningful outcomes for clients, we’d love to hear from you. Apply today for immediate consideration.

Data Architect Up to £125,00 About the Role We are seeking a Data Architect to support the design and delivery of modern Azure-based data solutions within a fast-growing data consultancy environment. This role plays a key part in helping clients define and deliver scalable, cloud-native data platforms that enable advanced analytics and AI-driven insights. This position sits at the centre of client engagements, shaping end-to-end data architectures across areas such as data ingestion, integration, storage, warehousing and cloud infrastructure. You will be responsible for designing robust, secure and cost-efficient data solutions that align with client strategies and support data-driven decision making. This role is ideal for someone confident working across the full data lifecycle, with strong experience in modern data architecture and the ability to translate complex client requirements into scalable, high-quality designs. You will collaborate closely with stakeholders across business and technical teams, presenting solutions, influencing delivery approaches and contributing to the development of best practices. Responsibilities • Lead data architecture design across client projects, ensuring scalable and secure solutions, • Design and deliver cloud data platforms using Azure technologies such as Data Factory, Synapse, Azure SQL and Microsoft Fabric, • Define data models, pipelines, integrations and overall architecture frameworks, • Engage with stakeholders at all levels, from senior leadership to technical delivery teams, • Present architecture decisions and proof-of-concept solutions clearly to both technical and non-technical audiences, • Shape client data strategies, challenging approaches and promoting best practices where appropriate, • Strong background in data architecture, data engineering, or modern data platform delivery, • Experience designing and implementing enterprise-scale data solutions end-to-end, • Strong hands-on experience with Azure data technologies (ADF, Synapse, Azure SQL, Data Lake, Fabric), • Expertise in data modelling techniques, • Ability to gather and translate business and technical requirements into scalable solutions, • Competitive salary of up to £125,000 depending on experience, • Hybrid working model, • Ongoing investment in professional development and certifications, • Opportunity to work on high-impact, enterprise-scale data transformation projects, • Collaborative and high-performance culture focused on innovation and growth

Head of IoT Platform Engineering | £90k-120k | 3x Onsite | Edinburgh 🌍 The Role We’re partnering with a fast-growing, venture-backed company building a next-generation IoT platform powering tens of thousands of connected devices and millions of real-time data points. They’re now hiring a Head of IoT Platform Engineering to own and scale a cloud-native SaaS platform at the heart of their product. This is a rare opportunity to combine deep technical leadership, product thinking, and commercial impact in a business where IoT, real-time data, and AI are core to the mission. Working closely with Product, Device, and Customer teams, you’ll build a platform that is: • Highly scalable and real-time, • Secure and enterprise-grade, • Ready for AI and edge evolution 🔧 What You’ll Do • Define and drive the platform strategy and roadmap, • Lead, hire, and mentor a high-performing engineering team, • Architect systems across device management, ingestion, messaging, and analytics, • Own AWS infrastructure, security, and compliance, • Partner with commercial teams on customer adoption and platform growth 🧠 What They’re Looking For • Experience leading IoT SaaS platforms at scale, • Strong cloud-native background (AWS, Kubernetes, modern stacks), • Deep understanding of IoT, real-time data, and distributed systems, • Proven ability to lead teams in fast-paced, scaling environments Bonus: AI/ML, edge computing, or regulated industry experience 💡 Why Join? • Own a mission-critical platform at scale, • Work at the intersection of IoT, AI, and real-time data, • Join a high-growth company with real traction

Systems Research Engineer (AI Infrastructure) - Edinburgh - Global Leading Firm As large language models reshape the foundational software stack, next-generation AI-native infrastructure is redefining how large-scale models are trained, served, and deployed. We are driving innovation in AI infrastructure and agent-oriented serving architectures to define future large-scale data centre and distributed AI systems. Key Responsibilities • Distributed Systems R&D: Architect and implement distributed system components for AI workloads across heterogeneous clusters (CPU, GPU, accelerators)., • Performance Optimisation: Conduct deep profiling and performance tuning of large-scale inference pipelines, focusing on KV cache management and memory scheduling., • Scalable Serving Infrastructure: Develop frameworks for multi-tenant, low-latency, and fault-tolerant AI serving, researching techniques for cache sharing and data locality., • Research & Publications: Translate novel designs into publishable contributions for leading systems and ML venues (e.g., OSDI, SOSP, EuroSys, NeurIPS)., • Cross-Team Collaboration: Communicate technical insights to multidisciplinary teams and align on long-term infrastructure strategy. Qualifications • Education: BSc, MSc, or PhD in Computer Science, Electrical Engineering, or a related field., • Systems Expertise: Strong knowledge of Operating Systems, Distributed Systems, and AI inference serving., • Technical Stack: Proficiency in C/C++ for systems development and Python for research prototyping., • Hands-on Experience: Experience with LLM serving frameworks, distributed cache optimisation, and performance profiling tools., • Preferred: A track record of publications in top-tier systems or ML conferences and practical experience in load balancing or resource scheduling for inference clusters.

About us The Royal Zoological Society of Scotland (RZSS) is a wildlife conservation charity with a bold vision: a world where nature is protected, valued and loved. Edinburgh Zoo and Highland Wildlife Park are our gateways to the natural world through which people can experience nature. How you you’ll contribute to our mission To supervise the day to day works operations at one of Royal Zoological Society for Scotland’s (RZSS) locations (Edinburgh Zoo or Highland Wildlife Park), including the maintenance and refurbishment of all buildings, enclosures, facilities and infrastructure owned by RZSS. Some of the things you’ll do: • Take the day-to-day lead to ensure all assigned works repairs and projects are delivered effectively, safely, on time and to budget and recommend cost-effective opportunities to minimize the impact of its operations on the environment., • Supervise the following areas: electrical, plumbing, gas servicing/heating, roofing, fire/intruder alarms, automatic doors, drainage, lift maintenance, aircon/refrigeration maintenance, PPM/compliance works, and any other duties as required., • Highlights any issues where relevant plant, equipment, are requiring to be maintained and documentation kept, meeting relevant legislation and best practice standards at all times., • Ensure all sub-contractors work to RZSS guidelines., • Ensure that a consolidated stock list of all materials, and order supplies required for the daily operation of your activity according to the formal procedures set down by RZSS, maximizing value for money., • Ensure that all relevant record systems, inspections and testing in line with legislation for park and building and infrastructure are maintained and up to date., • Work collaboratively with other sections and departments to ensure all work is scheduled, coordinated and monitored effectively, providing guidance and advice relating to your trade when required., • To keep the customers updated on progress and give technical support where required to allow work to be estimated accurately, • Work with the wider team to input into project designs, builds; coordinating departmental requirements (within area of responsibility), ensure that legislation is being met budgets are set and monitored throughout the project and act as liaison between client and architect/designer?, • Highlight and assist with site risks ensuring the key stakeholders are prompted to ensure their actions are completed on time, • Relevant City and Guilds certification or S/NVQ Level 3 or equivalent experience, • Up-to-date knowledge and understanding of basic building related health and safety legislation, • Working knowledge of the risk assessment processes, • Understanding of basic principles of structural design, relevant to a multi-trade environment, and ability to work to design drawings, • Experience of the maintenance and construction of buildings and similar structures What you'll get in return: • Starting salary of £34,526 - £35,389 (offer based on experience) with future salary progression up to £38,483, • 37.5hr working week (may require some weekend working), • 34 days annual leave (pro rata), • Discount in both retail/catering, • Access to a healthcare plan, • Access to Employee Assistance Programme (EAP), that provide 24-hour counselling and support, including health, legal, finance, wellbeing and family advice, • Employer contributory pension scheme If this role excites you and aligns with your career aspirations, click APPLY now. This role is subject to standard pre-employment checks, including the candidate's right to work in the UK and Basic Disclosure check. Please note that shortlisting of applications and interviews for this position will take place while the advert is live. The advert will close once a successful candidate has been found. Interested candidates are therefore encouraged to submit applications, as soon as possible. The Royal Zoological Society of Scotland is an equal opportunities employer. Our policy is to recruit a diverse workforce following the guidelines of the Equality Act 2010.

AI Systems Research Engineer - LLM Optimisation Permanent Edinburgh City Centre (On-site 5 days), walking distance from local transport links Salary : Competitive and negotiable, generous benefits package In an era where Large Language Models (LLMs) are rebuilding the foundational software stack, our client is at the forefront of reshaping how large-scale models are trained, served, and deployed. Operating at the intersection of advanced systems research and industrial-scale engineering, their Edinburgh-based team is driving new AI Infrastructure & Agentic Serving architectures. This role is a unique opportunity to help define next-generation large-scale data centres and AI infrastructure systems, turning innovative system designs into deployable, real-world technologies. We are seeking Systems Research Engineers with a deep passion for computer systems, distributed AI infrastructure, and performance optimization. These roles are ideal for recent PhD graduates or exceptional BSc/MSc engineers looking to build research-driven experience in Operating Systems, Distributed Systems, AI Model Serving, Machine learning infrastructure. You will work closely with architects to prototype and optimize the next generation of global AI clusters. What you will be doing • Distributed Systems Research & Development : Architect, implement, and evaluate distributed system components for emerging AI and data-centric workloads. Drive modular design and scalability across GPU, and NPU clusters, building highly efficient serving and scheduling systems., • Performance Optimization & Profiling : Conduct in-depth profiling and performance tuning of large-scale inference and data pipelines, focusing on KV cache management, heterogeneous memory scheduling, and high-throughput inference serving using frameworks like vLLM, Ray Serve, and modern PyTorch Distributed systems., • Scalable Model Serving Infrastructure : Develop and evaluate frameworks that enable efficient multi-tenant, low-latency, and fault-tolerant AI serving across distributed environments. Research and prototype new techniques for cache sharing, data locality, and resource orchestration and scheduling within AI clusters., • Research & Publications : Translate innovative research ideas into publishable contributions at leading venues (e.g., OSDI, NSDI, EuroSys, SoCC, MLSys, NeurIPS, ICML, ICLR) while driving internal adoption of novel methods and architectures., • Cross-Team Collaboration : Communicate technical insights, research progress, and evaluation outcomes effectively to multidisciplinary stakeholders and global research teams. What we are looking for • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field, • Fresh PhD graduates in systems, distributed computing, or large-scale AI infrastructure are also welcome, • At least 2 years of experience with LLM inference / serving framework optimization (vLLM / Ray Serve / TensorRT-LLM / PyTorch), • Hands-on experience with distributed KV cache optimization, • Familiarity with GPU and how they execute LLMs, • Strong knowledge of distributed systems, operating systems, machine learning systems architecture, Inference serving, and AI Infrastructure., • Solid grounding in systems research methodology, distributed algorithms, and profiling tools., • Proficiency in C/C++, with additional experience in Python for research prototyping., • Team-oriented mindset with effective technical communication skills If this sounds like a role you can take hold of, we would love to hear from you! To apply for this role, please send your CV to Maggie Kwong Great journeys start here, apply now!

Dynamics365ArchitectUKRemote AreyouanexperiencedDynamics365CEArchitectwhothrivesondesigningenterprise-gradesolutionsthatmakearealimpact? Were looking for a forward-thinking professional to join a high performing Microsoft practice, where youll take a lead role in the technical design and delivery of secure, scalable Dynamics 365 and Power Platform solutions. This is a UK-based remote role, with occasional travel to client sited or team hubs in Glasgow or Reading. SC Clearance eligibility is required. WhatsonOffer • Basesalaryupto£90,000, • Carallowance, • Performance-basedbonus, • Flexibleremoteworkingwithoccasionalhybridtravel, • Architect,design,andimplementrobustDynamics365CEsolutions(Sales,CustomerService,Marketing,PowerPlatform), • Leadtechnicalarchitecturethroughthefullprojectlifecycle, • IntegrateDynamics365withAzureservicesandthird-partyplatforms, • Developcustomplugins,PowerAutomateflows,andmodel-drivenapps, • ...

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