26 to 33 of 33 scikit-learn Jobs in the City of London

notebooks or research). Proven leadership experience in either a senior IC or tech lead/managerial capacity. Familiarity with common AI/ML libraries and frameworks (e.g. scikit-learn, PyTorch, TensorFlow). Comfortable navigating greenfield environments and driving projects from concept to execution. Bachelor’s degree (or higher) in Computer Science, Engineering, Mathematics, or a related discipline More ❯

At Peregrine, were constantly seeking Specialist Talent that offer the ideal mix of skills, experience, and attitude, to place with our vast array of clients. From Project Change Professionals in large government organisations to Software Developers in the private sector More ❯

on varied and impactful use cases. Key Skills 3–5 years of hands-on experience across the ML lifecycle Strong Python skills and familiarity with common ML frameworks (Scikit-learn, XGBoost/LightGBM, TensorFlow, PyTorch) Exposure to LLMs or NLP techniques is a plus Experience with cloud-based data platforms and modern MLOps practices Details London (hybrid More ❯

term internship) in data science or climate modeling. SKILLS Proficient in statistics, applied mathematics and machine learning methods; Capable of building high-performance algorithms; Proficiency in Python (e.g. scikit-learn); Fluency in English (written and verbal communication) required; Good command of one additional language (e.g. Chinese, French, Italian, German, Spanish...) is valued. MINDSET Interested in weather and natural More ❯

including frameworks like Hugging Face, LangChain, or custom pipelines. Deep technical understanding of biometric security systems and privacy-aware architecture. Strong Python/ML stack (e.g., PyTorch, TensorFlow, Scikit-learn). Experience building real-time AI systems in production environments . Exposure to Agentic AI concepts or multi-agent systems is a strong plus. Due to the high More ❯

Required Skills Strong background in statistics, mathematics, econometrics or related field Hands-on experience developing and validating trading strategies Proficient in Python and data science libraries (pandas, NumPy, scikit-learn) Familiarity with backtesting frameworks and time-series modelling Bonus Points Experience in crypto or digital asset markets Exposure to LLMs or AI-powered research tools Understanding of market More ❯

frameworks ✅ What we’re looking for: 2+ years’ experience in a data science or pricing role within insurance Strong skills in Python, SQL , and ML libraries such as scikit-learn or XGBoost Proven experience modelling claims, risk, or technical pricing Confident working independently and comfortable shaping processes from day one Bonus: experience with low/no-code pricing More ❯

gaming Revenue/yield management or dynamic pricing Digital media or entertainment Expertise in Python and SQL, with a strong grounding in statistical and machine learning techniques (e.g. scikit-learn, XGBoost, statsmodels). Experience working with modern cloud data stacks (e.g. Snowflake, BigQuery, Redshift) and transformation tools like dbt. Familiarity with A/B testing, causal inference, and More ❯