SR2 | Socially Responsible Recruitment | Certified B Corporation™
Machine Learning Engineer (LLMs/NLP)
SR2 | Socially Responsible Recruitment | Certified B Corporation™, Germantown, Ohio, United States
We’re partnered with a
global product company
building world-class enterprise platforms used by thousands of organisations worldwide. With a diverse portfolio of products, they are investing heavily in
AI innovation,
from
agentic AI systems
to advanced
LLM applications,
to power their next phase of growth. This is a
fast-paced, engineering-led environment
where you’ll work with
state-of-the-art AI technologies
to solve real-world problems at scale. The team is diverse, globally distributed, and thrives on
cross-functional collaboration , ownership, and experimentation. The Role As a Senior ML/NLP Engineer, you will: Design, train, and deploy
machine learning and NLP models
into production. Implement and optimise
LLMs, RAG pipelines, and prompt engineering strategies
to improve product performance. Work with
agentic AI systems
and explore new architectures for automation and reasoning. Ensure
data quality and pipeline reliability
through robust validation and monitoring. Leverage
AWS
(preferred) or another major cloud platform, applying modern MLOps practices to build scalable, future-proof solutions. Collaborate with cross-functional teams (engineering, product, design) to translate business goals into technical solutions. What You’ll Bring Strong experience in
machine learning and NLP , with proven impact in production environments. Hands-on expertise with
LLMs, GenAI, prompt engineering, and modern ML frameworks
(e.g. PyTorch). Experience with
AWS
is preferred, though open to those with other cloud experience who are motivated to learn. Solid foundations in
Python, data/model pipelines , and experimentation workflows. A proactive, motivated approach with excellent collaboration and communication skills. Master’s degree in Computer Science, Machine Learning, or a related technical field The Offer Fully remote within Germany Join a
fast-moving, innovation-driven environment
where your work has direct product impact Work with a
cross-functional, distributed team
shaping next-generation AI solutions Opportunity to contribute across multiple products, driving innovation in
agentic AI and LLMs If you’re motivated to take on a high-impact role and grow with a team that’s pushing the boundaries of AI,
apply now and take the next step in your career . Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
IT Services and IT Consulting and Software Development
#J-18808-Ljbffr
global product company
building world-class enterprise platforms used by thousands of organisations worldwide. With a diverse portfolio of products, they are investing heavily in
AI innovation,
from
agentic AI systems
to advanced
LLM applications,
to power their next phase of growth. This is a
fast-paced, engineering-led environment
where you’ll work with
state-of-the-art AI technologies
to solve real-world problems at scale. The team is diverse, globally distributed, and thrives on
cross-functional collaboration , ownership, and experimentation. The Role As a Senior ML/NLP Engineer, you will: Design, train, and deploy
machine learning and NLP models
into production. Implement and optimise
LLMs, RAG pipelines, and prompt engineering strategies
to improve product performance. Work with
agentic AI systems
and explore new architectures for automation and reasoning. Ensure
data quality and pipeline reliability
through robust validation and monitoring. Leverage
AWS
(preferred) or another major cloud platform, applying modern MLOps practices to build scalable, future-proof solutions. Collaborate with cross-functional teams (engineering, product, design) to translate business goals into technical solutions. What You’ll Bring Strong experience in
machine learning and NLP , with proven impact in production environments. Hands-on expertise with
LLMs, GenAI, prompt engineering, and modern ML frameworks
(e.g. PyTorch). Experience with
AWS
is preferred, though open to those with other cloud experience who are motivated to learn. Solid foundations in
Python, data/model pipelines , and experimentation workflows. A proactive, motivated approach with excellent collaboration and communication skills. Master’s degree in Computer Science, Machine Learning, or a related technical field The Offer Fully remote within Germany Join a
fast-moving, innovation-driven environment
where your work has direct product impact Work with a
cross-functional, distributed team
shaping next-generation AI solutions Opportunity to contribute across multiple products, driving innovation in
agentic AI and LLMs If you’re motivated to take on a high-impact role and grow with a team that’s pushing the boundaries of AI,
apply now and take the next step in your career . Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
IT Services and IT Consulting and Software Development
#J-18808-Ljbffr