676 to 700 of 779 scikit-learn Jobs in the UK

Managing delivery independently within a scoped project timeline KEY SKILLS AND REQUIREMENTS 5+ years' experience delivering commercial time series forecasting projects Strong programming ability in Python (NumPy, Pandas, scikit-learn) Solid SQL skills and experience working with large datasets Experience deploying models into production environments (GCP preferred) Strong communication skills and stakeholder collaboration experience Ability to manage the More ❯

CLeaR, ICML, ICLR, NeurIPS, AAAI, WWW, KDD, or related A problem-solver with experience with Python, R, or similar languages. Experience with tools like CausalML, EconML, TensorFlow, PyTorch, Scikit-learn, Ray, etc., is a strong plus You have experience with hands-on skills in sourcing, cleaning, manipulating, analysing, visualising and modelling of real data. Experience with SQL is More ❯

methods relevant to recommendation systems. You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages. Experience with TensorFlow, PyTorch, Scikit-learn, etc. is a strong plus. You have some experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or even our open source More ❯

and Pandas Extensive usage of MongoDB, BigQuery, data visualisation and manipulation tools Experience with designing, training, evaluating machine learning models Familiarity with the main AI frameworks (Pytorch, Tensorflow, scikit-learn) Appreciation of Test Driven Development, SOLID principles and optimisation techniques Interest in DevOps Benefits 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to More ❯

and Pandas Extensive usage of MongoDB, BigQuery, data visualisation and manipulation tools Experience with designing, training, evaluating machine learning models Familiarity with the main AI frameworks (Pytorch, Tensorflow, scikit-learn) Appreciation of Test Driven Development, SOLID principles and optimisation techniques Interest in DevOps Benefits 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to More ❯

tools and techniques used What skills, experience and qualities are we looking for? Python - strong knowledge required Experience working across a range of ML models, e.g. TensorFlow and scikit-learn More than 4 years of experience in the energy industry, with a specific focus on forecasting the short-term power markets GitHub or Azure DevOps knowledge is desired More ❯

years in a leadership position. Proficiency in programming languages such as Python, R, and SQL. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Keras) and libraries (e.g. scikit-learn, Theano), demonstrating technical capability to build, optimise, and deploy AI models. Strong aptitude for analysing complex data sets and derive actionable insights using advanced ML/AI techniques. This More ❯

Master's Degree Preferred 5+ years of experience in marketing or customer analytics. 1+ years in a lead or manager role preferred Strong fluency in SQL, Python (pandas, scikit-learn, or similar), and CRM experimentation. Experience with A/B testing frameworks, holdout design, and incrementality measurement. The essential duties and responsibilities described above are not a comprehensive More ❯

Master's Degree Preferred 5+ years of experience in marketing or customer analytics. 1+ years in a lead or manager role preferred Strong fluency in SQL, Python (pandas, scikit-learn, or similar), and CRM experimentation. Experience with A/B testing frameworks, holdout design, and incrementality measurement. The essential duties and responsibilities described above are not a comprehensive More ❯

or AI domains Proven track record of leading complex AI projects in an agile environment Strong technical proficiency with modern ML tools and frameworks: PyTorch, TensorFlow, SparkMLLib, SciPy, Scikit-Learn, NLTK (etc) MLflow or similar ML lifecycle tools Experience with AI governance and responsible AI practices Understanding of public sector data requirements and compliance Outstanding communication and stakeholder More ❯

or AI domains Proven track record of leading complex AI projects in an agile environment Strong technical proficiency with modern ML tools and frameworks: PyTorch, TensorFlow, SparkMLLib, SciPy, Scikit-Learn, NLTK (etc) MLflow or similar ML lifecycle tools Experience with AI governance and responsible AI practices Understanding of public sector data requirements and compliance Outstanding communication and stakeholder More ❯

complex problems, scale globally, guarantee performance, and enable breakthrough innovations. Use AWS AI/ML services (e.g., Amazon Bedrock), ML platforms (SageMaker), and frameworks (e.g., MXNet, PyTorch, SparkML, scikit-learn) to help our customers build AI/ML solutions. Work with customers and partners, guiding them through planning, prioritization and delivery of complex transformation initiatives, while collaborating with More ❯

product-focused roles. Understanding of LTV modeling, forecasting, and experimental design. Comprehension of A/B testing methodologies Proficiency in Python for data analysis and modeling (e.g., pandas, scikit-learn, statsmodels). Strong SQL skills and experience working with large datasets in modern data environments. Experience working with cross-functional growth or marketing teams. Competent user of data More ❯

Python with SQL (MySQL, SQLite) and Oracle technologies (cx_Oracle), as well as using python to interact with MS Office applications. ·Desirable skills include use of ML libraries (Scikit-learn,Keras, Tensorflow), web development frameworks such as Flask and Django, using Python to perform text manipulation (NLTK) and knowledge of data visualization libraries such as Matplotlib and Seaborne. More ❯

AI services, model deployment, monitoring, and CI/CD pipelines for ML models (MLOps best practices). Example Tools & Technologies: Frameworks & Libraries: LangChain, Hugging Face Transformers, PyTorch, TensorFlow, Scikit-learn Agentic AI Tools: OpenAI GPT models, Crew,AI, Cohere, Pinecone (for vector databases), AutoGPT Data Engineering & ML Pipelines: Apache Airflow, MLflow, Kubeflow, dbt, Prefect Cloud & Deployment Platforms: AWS More ❯

suite stakeholders and decision-makers. Experienced in using BI tools such as Tableau or Microsoft Power BI. Proficient in Python with strong experience in libraries such as pandas, scikit-learn, and xgboost, and writing clean, modular, and reusable code. Experienced in deploying Python scripts and ML workloads. Familiarity with SQL, including writing complex queries with Common Table Expressions More ❯

Quantitative Researcher (Machine Learning) We are seeking a talented Quantitative Researcher to join our competitive global quantitative trading team at Geneva Trading. In this role, you'll research, develop, and deploy automated intraday and mid-frequency trading strategies using machine More ❯

strategy and architecture design Build and scale our AI/ML capabilities Develop our cloud infrastructure Drive innovation and technical excellence AI/ML technologies (not limited to); PyTorch, SciKitLearn, TensorFlow. Cloud infrastructure (AWS/Azure) API integration capabilities; preferably REST API. Data processing at scale Qualifications Must Have: A Master's Degree in Computer Science, Artificial Intelligence, Mechanical or More ❯

At Depop, machine learning is integral to our value proposition. We are looking for an MLOps Engineer to help level-up how ML solutions are delivered at Depop. You will be responsible for enabling our ML Scientists - currently spread across More ❯

strategy and architecture design Build and scale our AI/ML capabilities Develop our cloud infrastructure Drive innovation and technical excellence AI/ML technologies (not limited to); PyTorch, SciKitLearn, TensorFlow. Cloud infrastructure (AWS/Azure) API integration capabilities; preferably REST API. Data processing at scale Extensive knowledge and experience with bayesian neural networks is preferred. Qualifications: Must Have: A More ❯

Statistical Arbitrage Quant Researcher Locations: London The Firm: A leading multi-strategy hedge fund with ~$30 billion in assets under management is seeking an exceptional Medium Frequency Statistical Arbitrage Quant Researcher. With a global footprint and a reputation for excellence More ❯

Machine Learning/Semantic Web - FTC (6 Months) - West London We have an opportunity available for an experienced AI/ML Engineer to join a team based in Egham. This position requires immediate start so we politely request that you More ❯

Join to apply for the Data Architect role at Supermercados Guanabara 4 days ago Be among the first 25 applicants Join to apply for the Data Architect role at Supermercados Guanabara Get AI-powered advice on this job and more More ❯

skills & experience (listed is our current software solution): ExData visualisation tools (PowerBI) and manipulating data (Python/Excel/VBA/SQL/Databricks/Spark), Analytical models (Python: SciKitLearn, Imblearn, Prophet, XGBoost, ExtraTrees, Kmeans Clustering), Web Scraping (Python: Selenium, Chrome driver, BeautifulSoup) and understanding of Databases (Oracle/SAP Hana/AWS). At Evri, we know we only More ❯

skills & experience (listed is our current software solution): ExData visualisation tools (PowerBI) and manipulating data (Python/Excel/VBA/SQL/Databricks/Spark), Analytical models (Python: SciKitLearn, Imblearn, Prophet, XGBoost, ExtraTrees, Kmeans Clustering), Web Scraping (Python: Selenium, Chrome driver, BeautifulSoup) and understanding of Databases (Oracle/SAP Hana/AWS). At Evri, we know we only More ❯