AI / Machine Learning Engineer | Models That Guide Missions, Not Ads

Thales is hiring an AI / Machine Learning Engineer | Models That Guide Missions, Not Ads. Level rates it ; you can apply on Thales.

Level's read on this job

Level rates this machine learning engineer role Builds AI ●●●●: the job is building AI systems.
The posting allows some remote work.
Tools and skills the posting cites include PyTorch, TensorFlow and scikit-learn.
Level classifies it as a mid-level role.
Level lists 3,600+ other open roles at Thales.

AI in this role

Design, develop, and deploy machine learning models and applied AI solutions for mission-critical European operational programs.

PyTorchTensorFlowscikit-learnPythonSQL

ml-opsmachine-learningdata-sciencemodel-deploymentapplied-ai

Location: Bucharest Orhideea, Romania

Thales is a global technology leader trusted by governments, institutions, and enterprises to tackle their most demanding challenges. From quantum applications and artificial intelligence to cybersecurity and 6G innovation, our solutions empower critical decisions rooted in human intelligence. Operating at the forefront of defence and security, aerospace and space, cybersecurity and digital identity, we’re driven by a mission to build a future we can all trust.

In Romania, we are advancing innovation through software engineering, research and development, delivering solutions in key markets in which Thales Group operates. Our engineers design, develop and integrate solutions that impact global industries – from fully operational systems and subsystems for naval warfare and maritime security operations, to air traffic management systems, satellite-based solutions, tactical indoor simulations, identity and biometric technologies and more.

We're Thales ECC Bucharest, one of the fastest-growing engineering centers in the city. Our AI work feeds real European operations through our AI factory (CortAIx).

THE WORK
Machine learning models, data science, and applied AI on operational programs, with a direct
line into our AI factory. Models deployed into systems people depend on, not proofs of concept.

YOUR STACK
Python, SQL, ML frameworks (scikit-learn, PyTorch or TensorFlow), model deployment basics. MLOps and cloud data services exposure welcome.

YOU
2+ years as a data scientist or machine learning engineer. You'd rather ship one model that changes a decision than ten that decorate a presentation. Not ticking every box? Apply anyway.
We hire for trajectory, not checklists.

FRENCH TRACK
French is a multiplier here, never a requirement. Combine AI skills with French and you're in the shortest supply line we hire from. Expect a faster process.

WHAT'S IN IT FOR YOU
Competitive package, private medical care, meal tickets, flexible/hybrid working, learning budget and certifications, and the stability of a group that has been building critical technology for 130 years.

WHAT HAPPENS NEXT
AI is our fastest-growing line, so we hire for it all year. Apply in five minutes, no cover letter.
Answer a few short questions about your stack and seniority, and a recruiter dedicated to your domain takes it from there. When the right project opens, you're matched first, at your level, on your timeline.

At Thales, we’re committed to fostering a workplace where respect, trust, collaboration, and passion drive everything we do. Here, you’ll feel empowered to bring your best self, thrive in a supportive culture, and love the work you do. Join us, and be part of a team reimagining technology to create solutions that truly make a difference – for a safer, greener, and more inclusive world.

How we rate this

AI / Machine Learning Engineer | Models That Guide Missions, Not Ads at Thales rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

AI / Machine Learning Engineer | Models That Guide Missions, Not Ads is an open job at Thales.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Bucharest Orhideea and is marked remote.
The job was posted on July 9, 2026.
Seniority: mid.
Applications are handled by Thales. Apply on Thales

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ML OpsMachine learningData ScienceModel DeploymentApplied AIPyTorchTensorFlowscikit-learn

Also common in machine learning engineer jobs at this level

LLM Deep learning AWS Generative AI C++Spark

Pay

Typical machine learning engineer job: $197k

This posting doesn't list pay. Use the typical machine learning engineer figure when pay comes up. See machine learning engineer jobs

Questions you could be asked

How do you monitor a model once it's live, and how do you know it needs retraining?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where data science was part of your work. What did you do?
Tell me about a project where model deployment was part of your work. What did you do?
Tell me about a project where applied ai was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: ML Ops, Machine learning, Data Science, Model Deployment, and Applied AI. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

Get your CV reviewed before you apply

Send your CV and the role you want next. Your review arrives by email within 3 days.

Get a free CV review Check your resume with the ATS resume checker