ML Tech Stack

Payments and banking consultancy with in-house software engineering

Financial Services London, London 11–50 employees Founded 2007 Privately Held

ML is a 17-year-old consulting firm in payments and banking now building internal software—a shift evident in their tech stack (full modern cloud: AWS, Azure, GCP, Kubernetes, observability tools) and active hiring of senior engineers. Current projects cluster around post-acquisition integration, SSO migration, and observability scaling, signaling the company is absorbing a recent acquisition while modernizing its internal platform infrastructure.

Tech Stack 34 technologies

Core StackJira Confluence C# .NET Azure DevOps Dynatrace AWS Kubernetes OpenShift Prometheus Grafana Elasticsearch Java Node.js Python Okta Azure AD Word PowerPoint Visio NET MAUI Xamarin Git Android iOS Azure GCP Bash PowerShell SQL+1 more

AdoptingPingID

ReplacingGitLab Kubernetes ForgeRock

What ML Is Building

◆Challenges

Merger integration
Acquisition tool migration
Scaling observability capabilities
Monitoring coverage hybrid environments
Performance bottleneck analysis
Migrating legacy identity platform to global sso
Minimal disruption to business operations
Large-scale infrastructure migration
Complex transformation initiatives

▲Active Projects

Sso migration programme
Merger and integration project
Acquisition tool migration
Mature and scale observability capabilities
Implement dynatrace across application landscape
Build integrations with custom systems
Acquiring proposition
Post-merger integration programme

Hiring Activity

Accelerating7 roles · 4 in 30d

Department

Engineering

Data

Product

Security

Seniority

Senior

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About ML

ML provides talent acquisition and consulting services to financial institutions across EMEA, Americas, and APAC, with deep specialization in payments, banking, compliance, and risk. Founded in 2007, the firm advises on digital transformation and staffing for banks and fintech. The company operates a software engineering team—evidenced by a multi-cloud architecture (AWS, Azure, GCP), Kubernetes orchestration, and monitoring platforms (Dynatrace, Prometheus, Grafana)—alongside its core consulting practice. Recent activity shows integration of an acquisition and a concurrent migration of legacy identity systems to a cloud-native SSO model.

HeadquartersLondon, London

Company Size11–50 employees

Founded2007

Hiring MarketsIreland, Slovakia, Greece, United States

Frequently Asked Questions

What tech stack does ML use?

ML runs on multi-cloud infrastructure (AWS, Azure, GCP), Kubernetes and OpenShift orchestration, with observability via Dynatrace, Prometheus, and Grafana. Development uses .NET/C#, Java, Node.js, and Python; deployment via Azure DevOps and Git.

What is ML working on?

ML is executing a post-merger integration programme, SSO migration from a legacy identity platform, acquisition tool migration, and scaling observability across their application landscape using Dynatrace.