Build AI & Data Engineering Teams That Deliver

Hire senior AI, machine learning, and data engineers embedded into your team. Production-ready in weeks - without hiring delays or operational complexity.

Senior AI, ML, and data engineers
Dedicated teams working exclusively for you
Embedded into your data stack, workflows, and roadmap
Engineers productive in 4–6 weeks
Experience with production AI systems and pipelines
Deep technical vetting and replacement guarantee
Payroll, HR, compliance, and legal handled end-to-end

Trusted by companies building AI and data-driven products

AI & Data Engineering Talent in Europe

Build production-ready AI and data systems with experienced teams

We help companies build dedicated AI, machine learning, and data engineering teams capable of delivering real, production-grade systems - not just prototypes.

Our engineers work across the full AI and data stack:

Data engineering (ETL pipelines, data platforms, real-time processing)
Machine learning (model development, training, optimization)
Applied AI (LLMs, NLP, recommendation systems, computer vision)
MLOps and infrastructure (deployment, monitoring, scaling)

You get engineers who understand both models and systems - fully embedded into your product and data organization.

What you get when building AI & data teams with us:

Full-time, long-term AI and data engineers
Experience with production ML systems, not just research
MLOps-ready teams (deployment, monitoring, scaling)
Secure contracts and IP protection
Local HR support and retention management
Engineers integrated into your product and data workflows

This is not freelance AI support - it’s a dedicated team delivering real systems.

Scale AI capacity without enterprise-level hiring costs

Build AI capabilities faster — without compromising seniority, delivery, or ownership.

$108k

average fully-loaded US AI engineer cost

$52k

average senior AI/data engineer in Europe

40-70%

typical cost reduction

What clients say about building AI and data teams with Correct Context

"

The quality of engineers Correct Context delivered was outstanding. These weren’t just skilled developers; they were professionals who understood the importance of building robust, scalable systems for environmental impact measurement.

- Trevor Parsons, Co-Founder & CEO of GreenFeet

"

By hiring with Correct Context, we’ve maintained engineering excellence while dramatically reducing our burn rate and time-to-hire.

- Jan Szajda, CEO of IDENTT Sp. z o.o.

You focus on building AI products - we handle hiring, operations, and long-term team stability.

From Requirement to AI Team in 4–6 Weeks

Our process is designed to reduce the typical risks of hiring AI and data talent:

Define roles across data, ML, and engineering layers
Deep technical vetting (algorithms, systems, real-world use cases)
Validation of production experience (not just theory)
Cultural and collaboration fit checks
Client approval of final candidates
Legal employment, payroll, and compliance handled
Structured onboarding into your data and product stack

You focus on building AI products - we handle hiring, operations, and long-term team stability.

Build AI and data teams with full IP protection, compliance, and long-term stability — without operational overhead.

Build your AI & data engineering team

Let’s discuss how to build a dedicated AI, machine learning, or data engineering team aligned with your product, data infrastructure, and growth plans. Scale your AI capabilities predictably - without hiring risk or delays.