501 to 525 of 713 scikit-learn Jobs in the UK

Social network you want to login/join with: Senior Quant Developer/Researcher - Java, london col-narrow-left Client: Selby Jennings Location: london, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 More ❯

Job Title: Quantitative Researcher, Systematic Equities Company: Millennium Millennium is a top tier global hedge fund with a strong commitment to leveraging market innovations in technology and data to deliver high-quality returns. Location: London or Dubai preferred Job Description More ❯

Location(s): UK, Europe & Africa: UK: Great Baddow BAE Systems Digital Intelligence is home to 4,500 digital, cyber, and intelligence experts. We work across 10 countries to collect, connect, and understand complex data, enabling governments, armed forces, and businesses More ❯

Are you passionate about artificial intelligence, cutting-edge technologies, and innovative design? Rapid X , a leader in digital transformation consulting, is seeking talented graduates to join our AI and design teams. We’re exploring innovations in generative AI , AI-based 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 ❯

KDB/Python Lead Quant Developer - Systematic Equities | London/Dubai - Leading Multi-Strategy IM Salary: 200-600k GBP TC Summary: One of the world's most prestigious hedge funds is looking for a Quant Developer to be a More ❯

Direct message the job poster from Stanton House Technology Recruiter Specialising in Data 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 More ❯

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple 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 ❯

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 ❯

science. Validate model improvements through a rigorous testing framework, similar to CI/CD practices in software development. Requirements: PhD or Masters in a related field Python Pandas, Scikit-learn, NumPy GCP Forecasting experience (nice to have) Desired Skills and Experience Forecasting, Price Optimisation, Python, Pandas #J-18808-Ljbffr More ❯

science. Validate model improvements through a rigorous testing framework, similar to CI/CD practices in software development. Requirements: PhD or Masters in a related field Python Pandas, Scikit-learn, NumPy GCP preferred Forecasting experience (nice to have) Desired Skills and Experience Forecasting, Price Optimisation, Python, Pandas #J-18808-Ljbffr More ❯

model improvements through rigorous testing frameworks, similar to CI/CD practices in software development. Requirements PhD or Masters in a related field Proficiency in Python, including Pandas, Scikit-learn, NumPy Experience with GCP (preferred) Forecasting experience (nice to have) Additional Details Remote position available. Desired Skills and Experience: Forecasting, Price Optimisation, Python, Pandas. #J-18808-Ljbffr More ❯

or Agricultural Engineering. Professionally proficient in English (written and spoken) for non-English native speakers. Programming Skills: Proficient in Python, with experience in libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, and others relevant to data science and analytics. Data Science Expertise: Background in predictive modeling, machine learning, and statistical analysis. API Integration: Experience in working with APIs More ❯

re Looking For Proven experience in AI/ML implementation, ideally within marketing, media, or eCommerce. Proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Experience with cloud platforms (AWS, GCP, or Azure) and deploying AI models in production. A strategic mindset with the ability to balance innovation with business impact. #J More ❯

experience working within areas such as NLP, LLM, recommendation systems Information Retrieval stacks, GenAI (specifically RAG systems). Familiar with architecture and implementation of 1+ ML frameworks (PyTorch, scikit-learn). Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment). Good knowledge of AWS’s machine learning infrastructure. Again this is a More ❯

on a sell-side trading desk or buyside firm, preferably in credit or fixed income Strong proficiency in Python programming and data manipulation libraries (e.g., Pandas, NumPy, SciPy, Scikit-learn) Proficiency with database programming languages including SQL Strong knowledge of MS Excel Experience dealing with large datasets Experience with AWS/cloud deployment Experience with market data sources 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 ❯

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 ❯

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 ❯

Looking For: At least 1 year in a Data Science role, with practical experience applying machine learning techniques. Proficiency in Python, with experience using libraries like pandas, NumPy, scikit-learn, and PyTorch. A relentless drive to push model performance boundaries, a focus on client needs, and a dedication to delivering impactful results. Familiarity with NLP concepts, transformer models More ❯

on areas such as robustness, explainability, or uncertainty estimation. Advanced programming and mathematical skills with Python and an experience with the standard Python data science stack (NumPy, pandas, Scikit-learn etc.). The ability to conduct and oversee complex technical research projects. A passion for leading and developing technical teams; adopting a caring attitude towards the personal and 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 ❯

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 ❯