Sopsai

Frame, model and ship ML solutions that move client P&L. What you'll do Translate ambiguous business problems into modelable formulations Build, evaluate and ship classical ML and modern LLM solutions Design experiments and causal analyses to quantify impact Own model monitoring, drift detection and lifecycle in production Communicate insights to executive stakeholders with clarity What you bring 4+ years applied data science with production deployments Strong Python (pandas, scikit-learn, PyTorch) and SQL Solid grounding in statistics, experimentation and causal inference Experience with at least one MLOps stack (MLflow, SageMaker, Vertex) Nice to have Published research or Kaggle competition experience Domain depth in financial services, retail or healthcare Send your CV and a short note about the work you're most proud of.

Sopsai is seeking a Machine Learning Engineer in Greater London to frame, model and ship ML solutions that drive client profitability. You will translate business challenges into modelable solutions and deploy advanced ML algorithms. Ideal candidates will have 4+ years in data science, robust skills in Python and SQL, and familiarity with MLOps. Experience in financial services or related domains is a plus. Send your CV and a short note about your proudest work.

Sopsai is seeking an Enterprise Consultant to lead client engagements from inception to delivery. The ideal candidate will shape AI and cloud transformation strategies alongside C-suite sponsors and has a strong record in consulting. You will mentor consultants and drive transformation initiatives. A minimum of 8 years of experience in top-tier consulting firms is required, along with a track record in leading enterprise transformations. Strong communication skills and technical comfort are essential for this role.