AI SCORE 8.5

Technical Engineering Director - LLMs /​ Machine Learning /​ NLP (Remote)

$140K–$200K/year

About the Role

We are seeking a Technical Engineering Director - LLMs / Machine Learning / NLP to join our innovative AI-focused technology company. This role offers the opportunity to lead complex customer-facing machine learning projects and build scalable, product-ready solutions. As a Technical Engineering Director, you will play a pivotal role in shaping the future of our AI initiatives while working remotely.

What You'll Do

  • Lead the delivery of complex ML and LLM projects from scoping through deployment.
  • Translate customer needs into scalable technical solutions and new intellectual property.
  • Build, mentor, and retain high-performing engineering teams.
  • Allocate talent across multiple projects to meet business priorities.
  • Act as a senior technical advisor to customers and internal stakeholders.
  • Collaborate closely with other directors, Product, and Platform teams.
  • Represent the department in strategic and technical discussions with clients.

Requirements

  • Strong experience with LLMs and applied Machine Learning.
  • Master’s degree minimum in Machine Learning, Computer Science, Physics, or a related field.
  • Proven experience delivering applied ML or NLP solutions in the industry.
  • Hands-on leadership experience managing teams and multi-project pipelines.
  • Strong Python and ML framework experience.
  • Excellent English and Spanish communication skills.

Nice to Have

  • Experience with cloud platforms such as AWS or Azure.
  • Familiarity with Agile methodologies.
  • Previous experience in a director-level role.

What We Offer

  • Competitive salary ranging from $140,000 to $200,000 annually.
  • Remote work flexibility.
  • Visa sponsorship supported from anywhere.
  • Opportunity to work on cutting-edge AI technologies.
  • Collaborative and innovative work environment.
  • Professional development opportunities.
Language Requirements
EnglishC1
SpanishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This role offers a unique opportunity to lead innovative AI projects remotely while earning a competitive salary. The company supports visa sponsorship, making it attractive for international talent.

Salary Range
Required
0/1
Optional
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Bonus
0/1

About European Tech Recruit

Explore exciting career opportunities at European Tech Recruit in 2026. Browse a variety of remote, hybrid, and office roles tailored to your skills. Utilize our advanced filters, application tracking, and company insights to streamline your job search. Stay informed with the latest industry news while finding the perfect position that aligns with your career goals at European Tech Recruit. Your future starts here!

Industry
Tech
Location
Remote

Who Will Succeed Here

Proficient in Python and experienced with ML frameworks such as TensorFlow or PyTorch, enabling rapid development and deployment of NLP models.

Self-motivated with strong time management skills, suitable for remote work, and capable of leading distributed teams while maintaining high productivity.

Demonstrates a strategic mindset with experience in project management methodologies like Agile, ensuring successful delivery of complex machine learning projects.

Learning Resources

Machine Learning Crash Coursecourse

Career Path

Technical Engineering Director - LLMs / Machine Learning / NLP(Now)Chief Technology Officer (CTO)(2-4 years)Vice President of Engineering(5-7 years)

Market Overview

Market Size 2024
$21.17B
Annual Growth
38.8%
AI Adoption
75%
Investment
+45%
Labour Demand
+30%
Avg Salary
$180K

Skills & Requirements

Required
Machine LearningNatural Language ProcessingPython
Growing in Demand
Deep LearningReinforcement LearningData Engineering
Declining
Traditional Statistical AnalysisRule-Based Systems

Domain Trends

Rise of LLMs in Business
Large Language Models (LLMs) are projected to account for 60% of AI applications in businesses by 2025, streamlining operations and enhancing customer interactions.
Increased Focus on Ethical AI
Over 80% of organizations are prioritizing ethical AI practices, leading to a demand for professionals who can integrate fairness and transparency into ML models.
Integration of AI with IoT
The convergence of AI and IoT is expected to grow by 25% annually, creating new opportunities for machine learning applications in real-time data processing.

Industry News

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