models for robustness and regulatory compliance Evaluate data quality, feature engineering, and model performance across surveillance systems Review model documentation for conceptual soundness, implementation quality, and governance controls Conduct benchmarking, backtesting, and stress testing using Python to challenge model design Assess statistical and machine learning-based surveillance systems for transparency and effective alert thresholds Provide quantitative and qualitative assessments of More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Opus Recruitment Solutions Ltd
concurrency model (goroutines, channels, memory model). Strong grasp of computer fundamentals: memory, CPU, I/O. Experience with distributed systems, APIs, and cloud-native environments. Skilled in profiling, benchmarking, and optimizing Go applications. Demonstrated mentorship and leadership experience. Clear communication with both technical and non-technical stakeholders. Nice-to-Have (Differentiators): Background in computer science, mathematics, or engineering. Knowledge More ❯
with AI/ML technologies such as LLMs, NLP, LangGraph, PydanticAI, or AutoGen Experience with biological or scientific datasets (genomics, proteomics, etc.) Exposure to frontend development (React preferred) Experience benchmarking and improving AI/ML models or agent-based systems What You'll Bring A track record of delivering clean, production-grade backend systems A collaborative and proactive approach to More ❯
