Sr. Machine Learning Engineer

Enable transforms supply chain management with cutting-edge rebate management software, having secured $276M in Series A-D funding.
Machine Learning
Senior Software Engineer
Remote
5+ years of experience
AI · Enterprise SaaS

Description For Sr. Machine Learning Engineer

Enable is revolutionizing the supply chain industry with their innovative rebate management software platform. Having secured $276M in Series A-D funding, the company is experiencing rapid growth and expansion. They're seeking a Senior Machine Learning Engineer to join their AI and Architecture team, where you'll be at the forefront of developing cutting-edge AI solutions.

The role offers an exciting opportunity to work with state-of-the-art technologies including LLMs, RAG systems, and multi-agent architectures. You'll be responsible for designing, developing, and deploying machine learning systems that directly impact the company's products and operations. The position requires a strong background in machine learning engineering with at least 5 years of experience and expertise in Python, PyTorch, and modern ML frameworks.

What makes this role particularly attractive is the chance to work on meaningful projects that transform supply chain management while being part of a rapidly growing company. You'll collaborate with cross-functional teams including ML scientists, data engineers, and product teams to bring innovative solutions to life. The company offers comprehensive benefits including health insurance, equity, professional development opportunities, and a flexible remote work environment.

Enable's commitment to diversity and inclusion is evident in their encouragement of applications from underrepresented groups. They provide a supportive environment focused on professional growth and development, making it an ideal place for ambitious ML engineers looking to make a significant impact while advancing their careers. The combination of cutting-edge technical challenges, growth opportunities, and competitive compensation makes this an exceptional opportunity for experienced machine learning professionals.

Last updated 5 minutes ago

Responsibilities For Sr. Machine Learning Engineer

  • Design, build, and deploy RAG systems, including multi-agent and AI agent-based architectures for production use cases
  • Contribute to model development processes including fine-tuning, parameter-efficient training
  • Build evaluation pipelines to benchmark LLM performance
  • Work across the ML stack—from data preparation and model training to serving and observability
  • Optimize model pipelines for latency, scalability, and cost-efficiency
  • Collaborate with MLOps, DevOps, and data engineering teams
  • Stay informed on current research and emerging tools in LLMs, generative AI, and autonomous agents
  • Participate in roadmap planning, design reviews, and documentation

Requirements For Sr. Machine Learning Engineer

Python
  • 5+ years of experience in machine learning engineering, applied AI, or related fields
  • Bachelor's or Master's degree in Computer Science, Machine Learning, Engineering, or related technical discipline
  • Strong foundation in machine learning and data science fundamentals
  • Proven experience building and deploying RAG systems and LLM-powered applications
  • Proficiency in Python and ML libraries such as PyTorch, Hugging Face Transformers
  • Experience with vector search tools and retrieval frameworks
  • Hands-on experience with fine-tuning and distillation of large language models
  • Comfortable with cloud platforms (Azure preferred), CI/CD tools, and containerization
  • Experience with monitoring and maintaining ML systems in production
  • Strong communication skills and ability to work across disciplines

Benefits For Sr. Machine Learning Engineer

Medical Insurance
Dental Insurance
Vision Insurance
Equity
Education Budget
  • Ample paid time off + 8 bank holidays
  • Quarterly wellness benefit
  • Private Health Insurance for employee and family
  • Electric Vehicle Scheme
  • Lucrative Bonus Plan
  • Equity Program
  • Internal mobility program
  • Training and professional development
  • Life Insurance

Interested in this job?

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