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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 -

DevOps Engineer - Azure - Public Sector - Outside IR35 Day Rate - up to 500 (Outside) Duration - 3 months with a view to extend Harvey Nash's Client are hiring a contract DevOps Engineer, you will help in developing IT disaster recovery scripts for a set number of applications for business-critical Chamber IT services. Assignment will include concurrent testing and troubleshooting for all ITDR scripts to: • Validate that scripts would recover all in-scope applications effectively, • Liasing with IT Disaster Recovery Project Team to deliver scripts (Bicep, PowerShell, AZCLI) to automate the creation of Azure environments for remaining in-scope applications., • Creation of pipelines (Azure DevOps) to enable the automated running of scripts in the building of environments and deploying code to these environments through pipelines., • Running scripts, including any manual steps, ensuring all dependent environments/applications (APIs, Database connections, permissions, key vaults etc) are correctly connected., • Ability to troubleshoot issues or errors within DR scripts as required., • Undertake technical testing and script iteration to ensure environments are built correctly., • Reviewing the deployed application in the DR site in conjunction with internal team to confirm DR scripts function correctly., • Completion of individual and concurrent testing of all DR scripts to confirm:, • that the deployed runbook of scripts work as required, • the RTOs for individual and concurrent application recovery., • Delivery of application script documentation and guidance, • Extensive Bicep expertise, • Scripting including AZCLI and PowerShell, • Pipeline configuration experience, • Azure deployment and infrastructure Pipeline build, • Experience of building scripts from existing architecture diagrams, • Practical application and management of networking and security settings, • Azure Cloud experience including applications services, DNS, application gateways, SQL database, logic apps, web application firewall rules, • Experience in GIT, • Troubleshooting using Azure tools e.g. application insights, • Azure DevOps tools expertise To From Record Yes No Always use these settings

DevOps Engineer - IT Disaster Recovery Edinburgh (1 day per week on site)£500 per day - Outside IR35 - 3 month contract Maximum 60 days to be worked across this contract duration based on rate shared at top of document. We're supporting our main public sector client on a mid-flight IT Disaster Recovery programme and are looking for an experienced DevOps Engineer to help deliver and validate DR capability for a set of business-critical Chamber IT services. This role is hands-on and delivery-focused, centred on building, testing and refining Azure-based DR scripts and ensuring recovery objectives are met both at application and estate level. The role You'll work closely with the internal ITDR project team to complete and test Disaster Recovery scripts, ensuring environments can be rebuilt reliably, repeatably and within agreed RTOs. Key responsibilities include: • Developing and finalising IT Disaster Recovery scripts to recover in-scope Azure applications, • Running individual and concurrent DR tests to validate:, • Successful application recovery, • RTOs for single applications and full estate recovery, • Troubleshooting and iterating scripts where issues are identified, • Building Azure DevOps pipelines to automate environment creation and deployment, • Ensuring all dependent components (APIs, databases, networking, security, key vaults, permissions) are correctly configured, • Reviewing deployed DR environments with internal teams to confirm scripts function as expected, • Producing clear script documentation and runbooks, • Carrying out knowledge transfer with internal developers throughout the contractTechnical environment / deliverables, • Bicep, PowerShell & AZ CLI scripts to automate Azure environment creation, • Azure DevOps pipelines for script execution and deployments, • Concurrent and individual DR testing with confirmed RTOs, • Extensive Bicep expertise, • Strong Azure scripting (PowerShell & AZ CLI), • Azure DevOps pipelines and tooling, • Azure infrastructure and deployment pipeline builds, • Building scripts from existing architecture diagrams, • Networking and security configuration (permissions, gateways, WAF, DNS, Key Vaults), • Azure services including:, • App Services, • Application Gateways, • SQL Databases, • Logic Apps, • Web Application Firewall rules, • Git source control, • Troubleshooting using Azure tooling (e.g. Application Insights), • Clear communication and stakeholder engagement, • Experience with knowledge transfer / handover Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

We’re partnering with an exciting early-stage biotech in Edinburgh that is building cutting-edge machine learning tools to unlock new understanding in gene regulation, synthetic biology, and next-generation therapeutics. This is a rare opportunity for an ML Engineer to join a highly ambitious, science-led team at an early stage and help scale a machine learning platform with real-world biological impact. The Opportunity You’ll work at the intersection of machine learning engineering, data infrastructure, and applied research, helping translate novel scientific ideas into robust ML systems. Key areas of focus include: • Building and optimising deep learning models (PyTorch), • Developing and maintaining scalable data pipelines for large genomics datasets, • Experiment tracking, benchmarking & reproducibility, • Improving model training efficiency and infrastructure, • Supporting deployment and model lifecycle management, • Contributing to AI/agentic workflows for scientific automation We’re looking for: • Strong Python & PyTorch experience, • Experience training / evaluating deep learning models in production or research environments, • A solid grounding in ML engineering best practice (pipelines, versioning, benchmarking, cloud compute), • Experience working with large-scale datasets, • Bonus points for transformers, biological sequence data, workflow tooling, or LLM / agentic AI exposure Why join? • Work on genuinely novel ML applications in biotech, • High ownership and visibility from day one, • Collaborative, research-driven culture, • Dedicated learning & development time, • Edinburgh-based with flexibility If you’re excited by applied ML, infrastructure, and solving hard scientific problems, I’d love to speak with you. Apply as directed above, or by sending your CV to for a confidential discussion.

Systems Research Engineer - AI Infrastructure / Distributed Systems We're partnered with a leading advanced technology research centre in the UK, focused on building next-generation AI-native infrastructure. They're seeking a Systems Research Engineer for AI Infrastructure and Distributed Systems to join them onsite in Edinburgh on a permanent basis. As large language models continue to reshape the software stack, this team is pioneering scalable, high-performance systems for training and serving AI at data centre scale. Sitting at the intersection of cutting-edge research and real-world deployment, the group transforms novel system architectures into production-ready technologies that will define the future of distributed AI. This is an excellent opportunity for engineers with a strong systems background who want to work on complex, research-driven challenges in distributed infrastructure, AI serving, and performance optimisation. The Role You will design and build core components of distributed AI systems, working across infrastructure layers to improve scalability, efficiency, and performance of large-scale model serving environments. Key Responsibilities: Distributed Systems Engineering • Design, implement, and evaluate distributed system components for AI and data-intensive workloads, • Build scalable infrastructure across heterogeneous environments (CPU, GPU, accelerators), • Profile and optimise large-scale inference pipelines, • Improve key-value cache efficiency and memory scheduling, • Develop low-latency, multi-tenant, fault-tolerant model serving systems, • Work on areas such as cache sharing, data locality, and cluster scheduling, • Contribute to cutting-edge systems and ML research, • Work closely with global research and engineering teams, • Communicate technical findings and system insights clearly Requirements • BSc or MSc in Computer Science, Electrical Engineering, or related field, • Strong fundamentals in distributed systems and operating systems, • Experience with machine learning systems and AI inference infrastructure, • Hands-on experience with LLM serving frameworks, • Strong programming skills in C/C++, • Python for prototyping and experimentation, • Experience with performance profiling and optimisation tools, • Solid understanding of distributed algorithms Nice to Have • PhD in systems, distributed computing, or AI infrastructure, • Publications in top-tier systems or ML conferences, • Experience with load balancing, fault tolerance, and resource scheduling, • Background in large-scale cloud or AI infrastructure environments Why Apply? • Work on cutting-edge AI infrastructure challenges at scale, • Bridge research and real-world system deployment, • Collaborate with leading experts in distributed systems and AI, • Shape the future of large-scale AI systems In accordance with local employment laws, applicants must have current, valid authorisation to work in the UK at the time of application. We are unable to sponsor employment visas for this role. Applications from individuals without existing work authorisation for the UK cannot be considered. If this sounds interesting and you'd like to learn more, click the link below to apply or email me with a copy of your CV on By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (___)

Venesky-Brown’s client, a public sector organisation in Edinburgh, is currently looking to recruit a DevOps Engineer for an initial 3 month contract on a rate of £500/day (Outside IR35). This role will be hybrid working. Responsibilities: • Liasing with IT Disaster Recovery Project Team to deliver scripts to automate the creation of Azure environments for remaining in-scope applications., • Creation of pipelines (Azure DevOps) to enable the automated running of scripts in the building of environments and deploying code to these environments through pipelines., • Running scripts, including any manual steps, ensuring all dependent environments/applications (APIs, Database connections, permissions, key vaults etc) are correctly connected., • Ability to troubleshoot issues or errors within DR scripts as required., • Undertake technical testing and script iteration to ensure environments are built correctly., • Reviewing the deployed application in the DR site in conjunction with internal team to confirm DR scripts function correctly., • Completion of individual and concurrent testing of all DR scripts to confirm that the deployed runbook of scripts work as required and that the RTOs for individual and concurrent application recovery., • Delivery of application script documentation and guidance, • Knowledge transfer with internal developers to ensure thorough knowledge handover throughout contract Essential Skills: • Extensive Bicep expertise, • Scripting including AZCLI and PowerShell, • Pipeline configuration experience, • Azure deployment and infrastructure Pipeline build, • Experience of building scripts from existing architecture diagrams, • Practical application and management of networking and security settings, • Azure Cloud experience including applications services, DNS, application gateways, SQL database, logic apps, web application firewall rules, • Experience in GIT, • Troubleshooting using Azure tools e.g. application insights, • Azure DevOps tools expertise, • Azure DevOps knowledge transfer and stakeholder management expertise. Desirable Skills: • Previous experience in development of IT disaster recovery scripting for public sector organisations If you would like to hear more about this opportunity please get in touch.

Mainframe Engineer Hybrid Working – Edinburgh Financial Services Lorien's leading banking client is looking for a n experienced Mainframe Engineer, this person will support the test environments to enable delivery of features to mobile/online banking customers. The person will have hands-on experience with Mainframe Technologies – CICS and z/OS System Expertise. This role is based in Edinburgh. This role will be Via Umbrella. Working in a Hybrid Mode. Key Responsibilities: • CICS & z/OS Systems Engineering Expertise – Individual must display deep practical experience with how CICS runs on z/OS, beyond application development., • IBM WebSphere Liberty (CICS Liberty) & Java Runtime Skills - A CICS Liberty Infrastructure Engineer must understand Liberty as a runtime and have experience in configuring the runtime, • Security, Integration & Modern Ops Practices - CICS Liberty environments are exposed to modern integration patterns and strict security requirements., • Demonstratable technical experience required would include:, • CICS system setup and configuration (regions, JVM servers), • Understanding of z/OS components used by CICS Liberty (USS, RACF, TCP/IP, SMF), • Capacity planning, performance tuning, and availability (HA/DR), • Problem determination using dumps, traces, SMF data, and logs, • WebSphere Liberty configuration (server.xml, features, shared libraries), • JVM tuning for z/OS (heap sizing, GC behaviour), • Managing Java workload inside CICS (JVM servers lifecycle, diagnostics), • Patching and maintaining Liberty and Java SDK levels, • RACF and TLS configuration (certificates, keyrings, SAF integration), • REST/HTTP exposure and API enablement, • CI/CD awareness (bundles, pipelines, automated deployment), • Operational monitoring and log management IND_PC3

What youll do as a Principal Test Equipment Engineer: Key contributor to the creation and delivery of the technical solution within a defined work package area, ensuring that it meets all stakeholder requirements Development and deployment of test programs Hardware and software integration of test p

As a DevOps Engineer in our Security Data and AI lab, part of the Chief Security Office (CSO), you will help drive the influence of data and AI on our product operations.You will support the build, development, implementation, and management of continuous integration and continuous deployment pipeli

A public sector organization in Edinburgh is seeking a Technical Systems Officer to implement the ICT rolling replacement programme and manage hardware configurations. You will specify and install new hardware, maintain asset management records, and provide technical support to users.