staff machine learning engineer

As a Staff Machine Learning Engineer with a backend focus, you will play a pivotal role in shaping scalable AI and algorithmic solutions that directly address complex business challenges. You are expected to possess a deep understanding of both the technical and domain-specific landscapes, enabling you to architect robust systems that integrate seamlessly with our platforms.

You will be part of a high-impact team that works at the intersection of data, machine learning, and backend engineering.

What you'll be getting up to:

• Design and implement efficient, scalable solutions that support advanced algorithmic and AI/Machine Learning-driven applications.

• Define and architect solutions that are structurally sound and align with best practices, ensuring robust integration with data-driven systems.

• Collaborate with various departments to integrate machine learning models and complex algorithms into business driven applications.

• Support and improve existing AI/Machine Learning solutions

• Take ownership of code quality, testing, and documentation to maintain high standards and continuous improvement across projects.

• Stay engaged in new technologies, AI advancements, and domain-specific knowledge, bringing fresh insights and approaches to the team.

Required Technical Skills

• 10+ years experience as a Software Engineer with a focus on high throughput distributed systems with a focus on the backend. 

• Proven experience in backend development with proficiency in languages such as Python, C# on Linux, Go, or similar.

• Utilise Advanced Technical Stack: Leverage our technical stack, including Python, SQL, PostgreSQL, BigQuery, and libraries such as Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Pytorch, to develop robust and scalable AI/ML solutions.

• Strong foundation in data structures, algorithms, and problem-solving, with a clear focus on efficiency and optimisation.

• Experience with architecting and implementing large-scale, distributed systems that handle significant data processing.

• Apply knowledge of Large Language Models (LLMs) such as OpenAI's GPT models, Claude, Gemini, Llama, Whisper, and Groq to develop innovative Gen AI use cases and solutions.

• Knowledge of databases (SQL and NoSQL) and experience in designing data storage solutions that support machine learning workflows.

• Advanced experience with PostgreSQL (stored procedures, functions, views, etc.).

• Fluent with GCP cloud platform and containerization tools (e.g., Docker, Kubernetes).

• Implement and optimise CI/CD pipelines for machine learning model deployment using Gitlab CI.

• Monitor system performance and implement improvements for scalability.

• Participate in code reviews and technical documentation.

• Experience with version control systems (Git) and collaborative development workflows.

Requirements:

• Passion for continuous learning and a keen interest in exploring and mastering new domains, especially in AI/ML and data-driven technologies.

• Strong analytical skills and an ability to translate complex problems into effective, scalable solutions.

• Excellent communication skills to effectively collaborate with cross-functional teams and articulate technical concepts to diverse stakeholders.

• Excellent command of the English language - written & spoken.

• Attention to detail and commitment to quality.

• Collaborative team player.

• Highly organised with a strong ability to prioritise across multiple projects.