Skills training and deployment for tech, banking, and business roles
mthree operates a training-to-deployment model, building and placing job-ready talent across technology, banking, and business functions. The tech stack reveals dual operating modes: Salesforce + ServiceNow for internal talent management and delivery workflows, paired with a heavy data/ML toolchain (Python, TensorFlow, PyTorch, Databricks, Dataiku) that underpins candidate assessment and upskilling curriculum. The hiring velocity is accelerating with engineering-dominant roles (75 of 119 open positions), skewed toward mid-level talent (47 hires), suggesting rapid scaling of training delivery capacity and platform engineering to support onboarding and deployment at scale.
mthree is a workforce solutions company based in London that designs, trains, and deploys skilled professionals into mid-market and enterprise organizations. Founded in 2010, the company operates across three core service lines: deploying emerging talent and experienced professionals directly into roles, reskilling existing employee populations, and building custom high-performance teams. Coverage spans technology roles (software development, DevOps, SRE, data science, data analytics, production support), banking (regulatory reporting, risk calculation, etrading), and business functions. Active projects include greenfield regulatory reporting platforms, CI/CD automation, ERP and Workday integration, and modernization of legacy systems. The organization maintains hiring presence in Canada, the United Kingdom, the United States, India, Poland, Hungary, and China.
mthree uses Salesforce (with Lightning Web Components), ServiceNow, Jira, and Workday for delivery and operations; Python, TensorFlow, PyTorch, Databricks, and Dataiku for curriculum and assessment; and Bitbucket and GitHub for development. Currently adopting Google Workspace, Azure API Management, and Power BI.
mthree actively hires in Canada, the United Kingdom, the United States, India, Poland, Hungary, and China.
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