Junior AI/ML Engineer

Build the Next Generation of AI Products with TensorOps

TensorOps is an applied-machine-learning studio that helps organisations across Europe and North America design, train, and deploy production-grade GenAI systems. Our team blends research depth with pragmatic engineering, and we’re looking for curious engineers to join us.

What We’re Working On

• Conversational copilots that assist knowledge workers
• Autonomous research agents for market-leading platforms
• Decision-support tools for healthcare, finance, and e-commerce
  
  

Core Stack

• Python, FastAPI, Docker
  
• TensorFlow, LightGBM, CatBoost
  
• Open-source & commercial LLMs
  
• LangChain / LangGraph, Langfuse, MCP
  
• MLFlow, Kubeflow
  
• AWS and GCP
  

The Role

(Internship with a clear path to a full-time offer)

You will

• Perform exploratory data analysis to understand client datasets and requirements
• Prototype and refine GenAI models, evaluating them with offline and in-context metrics
• Ship reliable data pipelines and inference services to production environments
• Collaborate closely with senior ML architects and client teams to deliver business impact
  
  

About You

• Proficient in Python, with solid foundations in statistics and machine learning
• Comfortable with Pandas, Jupyter, and at least one deep-learning or gradient-boosting library
• Curious about large-language-model research and tooling
• Enrolled in—or recently completed—a BSc/MS in Computer Science, Software Engineering, or a related field
  
  

Why TensorOps

• Real-world projects, rapid feedback loops, and measurable impact
• Mentorship from engineers who have shipped ML systems at scale
• Competitive compensation and growth opportunities