26 to 43 of 43 scikit-learn Jobs in Central London

Python and SQL. Proficiency with data visualization tools (e.g., Tableau, Power BI, matplotlib) and cloud platforms (preferably AWS). Expertise in statistics and machine learning frameworks (e.g., PyTorch, scikit-learn). Familiarity with Git and collaborative workflows, such as pull requests and code reviews. Experience in product experimentation, including A/B testing. Strong problem-solving skills and More ❯

🚀 We’re Hiring: Data Scientist | Fast-Growing Tech Company | London (Hybrid) Are you a data expert who loves solving real-world problems with predictive models and analytics? Join a fast-growing tech company where your models will drive strategic decisions More ❯

AWS, Aurora, ElasticSearch) Experience with Natural Language Processing & Large Language Models Experience building Data Science tools or Agentic Frameworks Experience in AdTech or data-driven marketing Experience with scikit-learn or keras, pandas, and numpy Expert understanding of SQL & Python programming More ❯

us again, and again. Proven track record delivering impactful ML/AI solutions in production. Deep expertise in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn, NumPy, Pandas). Hands-on experience with GenAI, agentic AI, and automated testing for AI systems. Curiosity and creativity to challenge assumptions and explore new approaches. Strong communication More ❯

REQUIREMENTS: 4+ years of experience in machine learning engineering, with a strong focus on productionizing ML models and MLOps. Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Hands-on experience with CI/CD pipelines, version control, and ML workflows More ❯

re Looking For: 2–4 years of experience in data science, machine learning, or commercial/pricing analytics. Proficiency in Python/R, SQL , and ML libraries (e.g., scikit-learn, TensorFlow, XGBoost). Experience with data visualisation tools (Tableau, Power BI) and statistical methods. Ability to communicate insights clearly to non-technical stakeholders. Passion for applying AI/ More ❯

Senior Machine Learning Engineer 📌 Industry: Insurtech 🏢 Company size: Approximately 200 employees 🌍 Working environment: Hybrid (2 days a week in Central London) 💷 Salary: Up to £110K based on experience + bonus Are you passionate about building innovative technology solutions using cutting More ❯

🚀 We’re Hiring: Data Scientist | Leading Music Investment Company | London (Hybrid) Are you a data expert who loves solving real-world problems with predictive models and analytics? Join a leading music rights investment and management company where your models will 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 ❯

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 ❯

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 ❯

Senior Data Scientist UK – Hybrid Up to £80,000 The Company A leading UK telecoms company is expanding its Product and Marketing Data Science teams and is looking for a Senior Data Scientist to help drive data-driven decision-making. More ❯

Machine Learning Engineer Machine Learning Engineer - Remote UK - £80000 We are helping an innovative tech business scale their technology team in the UK. Due to continued growth and demand for their products they now urgently need a Machine Learning Engineer 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 ❯

a (small) team and managing business projects; As a plus: prior experience in structuring, pricing & underwriting parametric insurance covers for climate risks. SKILLS Proficiency in Python (e.g. pandas, scikit-learn); Strong background in statistics and mathematics, showing clear understanding of probabilities; Eye for quality, autonomous and attention to detail; Fluency in English (written and verbal communication) is required More ❯