Machine Learning Engineer

Senior ML Engineer
Location: Remote / London / Manchester

The Role:

Lead the development and deployment of scalable machine learning systems, driving innovation and mentoring the team while ensuring technical excellence.

Key Responsibilities:

1. Build and deploy ML systems from prototype to production.
2. Design and maintain MLOps pipelines for efficient model management.
3. Set the technical direction for ML initiatives and guide junior team members.
4. Translate business needs into robust technical solutions.

What You'll Bring:

1. Advanced Python skills and experience with ML frameworks (e.g., PyTorch, TensorFlow).
2. Deep knowledge of MLOps tools and practices.
3. Strong foundation in math, statistics, and machine learning theory.
4. Proven ability to deploy ML solutions at scale.

Preferred:

1. Advanced degree in a relevant field and 7+ years of ML engineering experience.
2. Financial services experience and knowledge of cloud platforms (AWS, GCP, Azure).

Impact:
A senior role shaping technical strategy and delivering cutting-edge solutions in a dynamic environment.