1 to 25 of 47 scikit-learn Jobs in England

with stakeholders at different levels BSc or MSc in Data Science, Computer Science, Statistics, or related field Familiarity with machine learning tools like scikit-learn and PyTorch. NEXT STEPS: If this role looks of interest, please reach out to Joseph Gregory more »

to explain and present the findings of technical work to non-expert audiences Fluency with Python machine learning and data science packages (pandas, scikit-learn, Apache, Spark, DASK, Tensorflow, etc.) or experience with programming languages and willingness to learn Python For engineering, experience in a DevOps role more »

knowledge of existing audit methodologies Liaison with audit teams and audit clients to develop innovative approaches Data transformation and modelling (e.g. pandas and scikit-learn in Python); Data storage and querying (e.g. SQL, Alteryx, Python); Data visualisation experience (eg PowerBI, Tableau) Understanding of common data quality issues and more »

knowledge of existing audit methodologies Liaison with audit teams and audit clients to develop innovative approaches Data transformation and modelling (e.g. pandas and scikit-learn in Python); Data storage and querying (e.g. SQL, Alteryx, Python); Data visualisation experience (eg PowerBI, Tableau) Understanding of common data quality issues and more »

Associate Portfolio Manager/Quantitative Researcher | BAM Quant PM Team A growing medium-frequency market-neutral global systematic equities team is looking for an Associate Portfolio Manager or Quantitative Researcher to directly add value to a portfolio through innovative idea more »

their performance. REQUIRED SKILLS AND EXPERIENCE Proficiency in Python, including its associated data and machine learning packages such as numpy, pandas, pyspark, matplotlib, scikit-learn, Keras, TensorFlow, and more. Experience working with object-oriented programming languages. Experience in Forecasting and propensity. Expertise in utilizing SQL for data acquisition more »

environment. Systems/Internal Processes Familiarity with programming languages such as Python, R or Java and with data analysis libraries (e.g. Pandas, NumPy, scikit-learn). Understanding of database technologies (ETL) and SQL proficiency for data manipulation, data mining and querying. Knowledge of Big Data Tools (Spark or more »

Machine Learning Engineer £70-120k + benefits London Hybrid Why Join? AI/ML driven business Innovation is core to business success Global leader in this space with leading international orgs as customers Forge your career path, opportunity to more »

Company Overview: Join a pioneering leader in software development based in London, driving innovation and excellence in machine learning (ML) and artificial intelligence (AI). They are committed to pushing the boundaries of technology and leveraging the power of Google more »

perform machine learning experiments on clinical datasets. You will get to work with some of the most innovative tools in the market, including scikit-learn, pandas, Tensorflow, Pytorch, spaCy, and the AWS data stack. The role is hybrid, in central London (zone 1) and they are offering more »

NLP , and LLMs Expert ability with ML/MLOps Experience mentoring/up-skilling more junior team members. Strengths in SQL , Python ( Pandas , Scikit - Learn , PyTorch ) PhD -level education and experience within Marketing is preferred. Experience in an academic/research background. If you think this opportunity could more »

S3, Lambda, Step Functions, Athena/Glue, CodePipeline Containers orchestration using CloudFormation, Terraform, Docker, Kubernetes Experience in development using Python, particularly using TensorFlow, PyTorch, scikitlearn, boto3 and the Python Data Science stack (pandas, numpy etc.) Why work at GlobalLogic. Our goal is to build an inclusive positive culture where everyone more »

DATA SCIENTIST HYBRID (LONDON) £60,000 - £70,000 COMPANY: Join a consumer finance business focused on simplifying the consumer finance experience. Our client is committed to making finance easier for their customers. With its first product, a digital credit card more »

Ripjar is a UK based software company that uses data and machine learning technologies to help companies and governments prevent financial crimes and terrorism. This includes continuing to help many financial institutions and corporations comply with the recent addition of more »

AI Engineer & Innovation Consultant Consulting firm London UK £50k - £60k About Them Part of the digital innovation and data division within a leading global consultancy, they create fresh ventures and products for clients in the professional services space. Their efforts more »

We are currently looking for an experienced Machine Learning Engineer to work an exciting project, utilising the latest technologies. You will work closely with data scientists to take ML models from research to production while upholding engineering best practices. Responsibilities more »

Title: Software Engineer Location: Onsite in Cambridge ideally but open to hybrid working. Are you a self-motivated and enthusiastic software engineer who is passionate about working on complex science and engineering problems? If so, this role is for you more »

with a focus on NLP, machine learning, and MLOps. Proficiency in Python and its libraries for data manipulation, analysis, and machine learning (e.g., scikit-learn, TensorFlow, PyTorch). Strong knowledge of AWS services, particularly AWS Sagemaker, and experience working within an AWS environment. Experience with large language models more »

experience with cloud data and ML services. Proficiency in deep-learning frameworks (TensorFlow, PyTorch, etc.) & basic libraries for data science e.g. NumPy, Pandas, Scikit-Learn Strong command of standard data science techniques - supervised/unsupervised ML, Bayesian inference, time-series analysis etc. Master's or PhD in relevant more »

within the financial/lending industry. Strong programming skills in languages such as Python or R. Familiarity with relevant tools and libraries, including scikit-learn, TensorFlow, or PyTorch. Ability to analyze and interpret complex data sets to drive actionable insights. Excellent communication skills to convey technical findings to more »

time limit, or sponsorship 2+ years of industry experience in applied data science Thorough understanding of statistical techniques and modelling Python (Pandas, Jupyter, Scikit-learn, NumPy, SciPy, Matplotlib, Seaborn, Plotly, Bokeh) Expert skills with data wrangling and cleaning large datasets Clear communication and presentation of datasets Optional Skills more »

methods, optimizers, super/unsupervised learning, feature engineering, etc.). Strong experience with Python required understanding of the ML/DS frameworks (XGBoost, Scikit-learn, Pandas, Numpy, etc.), and modular/modern OOP software design practices with a modern ML/Data/Cloud engineering technical stack If more »

statistical methods and model building to extract valuable insights from data. Proficient in Python and its core data science libraries (Pandas, Jupyter Notebook, Scikit-learn, NumPy, SciPy, etc.) for efficient data manipulation and analysis. Data Wrangling: You have the skills to tackle messy data sets with confidence, cleaning more »

their performance. REQUIRED SKILLS AND EXPERIENCE Proficiency in Python, including its associated data and machine learning packages such as numpy, pandas, pyspark, matplotlib, scikit-learn, Keras, TensorFlow, and more. Experience working with object-oriented programming languages. Experience in Forecasting & AB testing. Leadership Expertise in utilizing SQL for data more »

terminology, insight). Proficiency in Python. Experience using relational databases and SQL. Familiarity with data manipulation and analysis libraries (e.g., pandas, numpy, jupyter, scikit-learn). Knowledge of machine learning and statistical methods (e.g. linear/logistic regression, decision trees, random forest, unsupervised methods) is preferred. Ability to more »