Design and maintain scalable data pipelines and models for a SaaS platform, processing large national datasets. Work across the full data lifecycle, from ingestion to reporting, while contributing to data architecture and mentoring within a collaborative tech team. Use Azure-based technologies including SQL Server, Data Factory, and Cosmos DB in a hybrid working environment.
This role involves building and maintaining MLOps infrastructure to productionise AI and computer vision models, from distributed training to deployment on cloud and edge devices. The engineer will optimise inference, manage model registries, and develop CI/CD pipelines while working closely with research and software teams. The role includes hands-on work with GPU-accelerated edge systems and customer-facing deployment environments.
This role involves designing, deploying, and managing secure cloud infrastructure on Google Cloud Platform, with a strong focus on containerised workloads using Kubernetes and Docker. The engineer will apply infrastructure-as-code practices using tools like Terraform or Ansible and implement CI/CD pipelines in a highly regulated environment requiring SC clearance. Responsibilities include ensuring hardened, compliant deployments and supporting scalable data or machine learning platforms.
This role involves developing and maintaining software-driven network automation solutions using Python, Ansible, and CI/CD pipelines. You'll design custom tools, manage network source-of-truth systems, and implement automated testing for network APIs and configurations. The position emphasizes collaboration with network engineers and upskilling teams in DevOps and software engineering practices, within a secure environment requiring high-level security clearance.
Design and maintain a scalable, secure data platform on Azure and Snowflake, using infrastructure-as-code (Terraform) and CI/CD pipelines (Azure DevOps, GitHub Actions). Implement observability, security, and automation practices while mentoring junior engineers and collaborating with data science and business teams. Focus on enabling advanced analytics in a healthcare and insurance context.
DevOps / Cloud Engineer (AWS) | Active SC Clearance EssentialDay Rate: £600 per day (Outside IR35)Location: Hybrid, London (1 day per week onsite)Contract Length: Initial 6 monthsStart Date: Immediate / ASAPSecurity Clearance: Active SC Clearance requiredWe are partnering with a...
As a Senior Software Engineer, you will design, develop, and maintain internal web applications, business systems, and integrations. You'll modernize processes, improve data flows, and implement cloud-based solutions in Microsoft Azure, collaborating with stakeholders to deliver practical solutions and influence the technology roadmap.
This role involves building, deploying, and maintaining cloud infrastructure on Microsoft Azure using infrastructure-as-code principles. The engineer will automate cloud operations using Bicep, PowerShell, and Azure CLI, ensuring secure and scalable environments aligned with ISO 27001 and Cyber Essentials Plus standards. The position supports both internal systems and client-facing projects within a globally focused consultancy.
The role involves designing and implementing end-to-end AI/ML solutions, building scalable generative AI and agentic AI solutions, and implementing MLOps frameworks. You will collaborate with stakeholders to deliver robust, scalable, and responsible AI solutions for high-profile clients.
Develop and maintain full-stack web applications using .NET, C#, and Angular within an Agile team. Work across the development lifecycle, from feature development to bug investigation, with exposure to Azure cloud services, AI tooling (Claude & Codex), and CI/CD pipelines. Collaborate closely with team members through code reviews and peer programming while contributing to both new and existing systems.
Design and assure secure, scalable technical architectures for defence and MOD programmes in highly regulated R&D environments. Focus on AI-enabled systems, secure cloud, Kubernetes, and Zero Trust, integrating legacy and modern technologies. Engage with stakeholders across engineering, security, and government to guide digital transformation and technical governance across the full lifecycle.
Build modern web and mobile applications using TypeScript, React, and AWS CDK within a cloud-native environment. Develop scalable microservices and shared solutions across web and mobile platforms while collaborating closely with product and engineering teams. Work on impactful products used by millions, with a strong focus on automation, testing, and modern delivery practices.
Our client, a leading global SaaS organisation is looking for a Senior Data Analyst to work on exciting AI/ML user experience projects for a 12 month contract. Hybrid with 3 days on site.Responsibilities;* Providing data sources that help build the...
MLOps Engineer (Platform / DevOps) - AI Platform - 3 days per week onsiteWe're partnering with a leading organisation on a high-profile AI initiative, seeking an experienced MLOps / Platform Engineer to build and scale infrastructure supporting advanced AI solutions.The...
Application Support Engineer MSSQL PostgreSQL PSQL Azure - Home / Remote based - 8am - 10pm / Monday to Sunday - Shift. Temp role with a view to a permanent positionAs this clients services continue to grow, they are looking...
