Senior ML Engineer

Company Description

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.

By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.

From prototype to real-world impact - be part of a global shift by doing work that matters.

Qualifications

• Deep expertise in Python, with strong understanding of idiomatic patterns and best practices.
• Solid experience with Generative AI technologies, especially integrating LLMs and chatbot interfaces.
• Experience developing agents and agentic workflows.
• Hands-on experience with LangChain, LlamaIndex, and similar GenAI tooling.
• Proficiency in asyncio and asynchronous programming models in Python.
• Strong understanding of RESTful API design and development.
• Familiarity with Pydantic for data validation and model management.
• Practical knowledge of the HTTP protocol, WebSockets, and real-time data systems.
• Experience writing thorough unit tests, with a focus on mocks and maintainability.
• Competence in using Docker for development and deployment.
• Comfortable working in Linux/WSL-based environments.
• Solid version control practices with Git, Python package managers and virtual environments.
  
  

Bonus:

• Experience with open-source LLMs (e.g., Mistral, LLama).
• Familiarity with cloud platforms (AWS, GCP, Azure) and deploying AI services at scale.
• Knowledge of frontend development for chatbot UIs (React, Next.js, etc.).
  
  

Additional Information

Discover some of the global benefits that empower our people to become the best version of themselves:

• Finance:
  Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;
• Career Development:
  Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
• Learning Opportunities:
  Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
• Work-Life Balance:
  Hybrid work and flexible working hours, employee assistance programme;
• Health:
  Global internal wellbeing programme, access to wellbeing apps;
• Community:
  Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.
  
  

At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.