Senior Engineering Lead - ML & Platform Systems

We are seeking a seasoned engineering professional to guide the development of advanced software systems and help shape the technical direction of a growing, research-driven organization. This position is ideal for someone who thrives in a cross-functional environment, enjoys close collaboration with product and research teams, and is motivated by building reliable, high-quality infrastructure., * Degree in Computer Science, Data Engineering, or a closely related technical discipline.

• 5-8 years of hands-on software engineering experience, including at least two years in a technical leadership or team lead capacity.
• Strong background in project planning and execution-including sprint management, roadmapping, and coordinating across multiple teams.
• Proven ability to guide cross-functional engineering groups (backend, frontend, or full stack) delivering complex, multi-layered systems.
• Clear, adaptable communication skills suited for both technical audiences and non-technical stakeholders.
• Deep understanding of API-centric architectures, microservices, and cloud-native ecosystems (AWS or GCP).
• Demonstrated capability to convert research or exploratory work into robust product requirements and scalable engineering designs.
• Practical experience with languages such as Python, Go, or TypeScript, along with familiarity with modern frameworks like FastAPI or React/Next.js.
• Strong commitment to engineering excellence, code quality, and dependable system performance.
• Solid experience with CI/CD pipelines, containerised environments (Docker/Kubernetes), and contemporary DevOps workflows.

Preferred Experience

• Previous involvement in building or managing machine learning infrastructure, workflow orchestration platforms, or AI-focused developer tooling (e.g., Flyte, MLflow, Hugging Face Hub).
• Understanding of the lifecycle of large language models-from fine-tuning and evaluation to deployment, monitoring, and iteration.
• Exposure to research automation frameworks, internal tooling initiatives, or data platform engineering.
• Experience mentoring engineers on system architecture, performance tuning, and scaling strategies.
• Product-oriented approach with the ability to balance rapid R&D experimentation and engineering discipline.
• Interest in enabling researchers and ML practitioners to innovate efficiently by removing infrastructure friction.

If you're motivated, open to fixed-term opportunities, and based in a suitable location, apply now or email [email protected]