Senior ML Engineer
5y relevant experience
EU engineers, ready to place with your US clients
Pre-screened on AI. Remote B2B contracts. View 5 full profiles free — AI score, skills report, interview questions included.
Executive Summary
Strong senior ML engineer with excellent technical depth and 5+ years of production experience. Has worked on performance optimization, anomaly detection, and model training across multiple domains. Strong mathematical background and proven ability to work with cutting-edge ML systems. Main gaps are in specific MLOps tooling and Kubernetes, but has transferable skills and strong fundamentals that suggest quick adaptability.
Top Strengths
- ✓5+ years production ML experience across diverse domains
- ✓Strong performance optimization background with CUDA/GPU expertise
- ✓Proven track record at reputable companies (Shell, Graphcore, Tromero)
- ✓Solid mathematical foundation from Imperial College
- ✓Experience with both research and production environments
Key Concerns
- !Limited explicit MLOps tooling experience (MLflow, Kubeflow)
- !No clear Kubernetes production experience mentioned
Culture Fit
Growth Potential
High
Salary Estimate
£80K-£100K (assuming Austin equivalent ~$110K-$140K)
Assessment Reasoning
FIT decision based on strong technical fundamentals, relevant 5+ years ML engineering experience, and proven track record of building production ML systems. While missing some specific MLOps tools experience, the candidate demonstrates strong Python, PyTorch/TensorFlow, and cloud platform skills. The GPU optimization and performance engineering background is highly valuable. Mathematical foundation and progression through reputable companies indicates ability to learn and adapt to missing tools quickly.
Interview Focus Areas
Code Review
Evidence of strong technical implementation skills with both high-level ML frameworks and low-level CUDA programming. Demonstrates ability to optimize for performance and memory efficiency.
- +CUDA C++ experience shows low-level optimization skills
- +Memory-efficient algorithm implementation demonstrates strong CS fundamentals
- -Limited code samples to fully assess production code quality
Experience Overview
5y total · 5y relevantStrong ML engineer with 5+ years of production experience across multiple domains. Excellent technical depth in PyTorch/TensorFlow with proven track record of optimizing model performance and building scalable systems.
Matching Skills
Skills to Verify