201 to 225 of 409 scikit-learn Jobs in London

run a mixture of Linux and Windows, and use Python and C# as primary languages, with an emphasis on Python and the Python scientific stack: numpy, scipy, pandas, scikit-learn, etc. We implement the systems that require the highest data throughput in Java. We implement most of our long running services and analytics in C#. We use Airflow More ❯

Job Title Senior Machine Learning Engineer Job Description Here at UnderwriteMe, we are on a mission to make life insurance more widely accessible and ensure people and their loved ones are protected when the inevitable happens. We are doing this More ❯

forecast offering. Developing our power market and dispatch models to grow and enhance Modo's product offering. We use Python and the standard scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). Working closely with our product and analytics functions to ensure the product we deliver aligns closely with user needs and provides value to the wider Modo team. Qualifications … to 5 years experience using Python (or another programming language e.g. R, C++, Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). Strong quantitative skills and a proven track record of solving complex technical problems using data analysis, machine learning, and optimization techniques. Hands-on experience with cloud environments (e.g., AWS) for deploying data science models. More ❯

Graduate AI and Machine Learning Engineer About Data Reply: DATA REPLY are data specialists, offering data platforms, BI, advanced analytics and AI/Machine Learning (ML) solutions to drive business success. We specialise in developing, deploying and operating production data More ❯

This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board. Woven by Toyota is the mobility technology subsidiary of Toyota Motor Corporation. Our mission is to deliver safe, intelligent, human More ❯

We Are Redefining How People Approach Their Health ZOE is the science and nutrition company leading a movement to transform the health of millions. We exist because the food we eat is making us sick. Most of what we are More ❯

Senior Machine Learning Engineer Apply locations London, UK time type Full time posted on Posted Today job requisition id R13623 Job Title : Senior Machine Learning Engineer Job Description Here at UnderwriteMe, we are on a mission to make life insurance More ❯

1 week ago Be among the first 25 applicants We Are Redefining How People Approach Their Health ZOE is the science and nutrition company leading a movement to transform the health of millions. We exist because the food we eat More ❯

machine learning & GenAI models. Hands-on experience with AI technologies, including Generative AI and Agent-based AI systems. Proficiency in Python and experience with ML libraries such as scikit-learn, TensorFlow, PyTorch. Extensive experience with NLP techniques and libraries like NLTK, spaCy, Gensim, Transformers. Experience with version control systems (Git) and AWS. Knowledge of MLOps practices and tools. … above criteria and are available to start ASAP, please send your CV for immediate consideration, as our client is looking to hire promptly. Nice-to-have skills Python Scikit-learn TensorFlow PyTorch NLTK Git AWS Work experience Machine Learning NLP Languages English Seniority level Mid-Senior level Employment type Contract Job function Engineering and Information Technology Industries Technology More ❯

AI tools. Proficiency in programming languages such as Python or Scala. Familiarity with ETL, Data Pipelines, Data Modelling and Data Warehousing (they are using Snowflake) Machine learning expertise (scikit-learn, TensorFlow) Strong communication skills for presenting to different business functions and analysing their needs. Salary: £75,000 - £80,000 + good pension + 25 days holiday + Discretionary More ❯

and excellent communication skills to convey insights effectively to clients and internal teams. Technical Skills: Proficiency with open-source tools and technologies. Languages & Libraries: Python, R, Pandas, NumPy, scikit-learn, XGBoost, LightGBM, statsmodels. NLP & ML Frameworks: spaCy, Hugging Face Transformers, TensorFlow or PyTorch (as applicable). Visualization tools: Plotly, Seaborn, Matplotlib, Dash, Streamlit. Preferred Qualifications: Fluency in French 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 ❯

/Machine Learning role; additional data or commercial experience is a plus Strong understanding of mathematical background, focusing on statistics and linear algebra Highly proficient in Python (Pandas, Scikit-Learn, PyTorch, PySpark) and SQL Experience with Snowflake (function & procedure) and Snowpark is a plus Experience with unit and integration tests Strong understanding of machine learning algorithms and best More ❯

network operations. Skills & Experience: Individual contributor with expertise and hands-on experience in Data Science (AI/ML/Predictive Analysis/Gen AI), Python, SQL. Experience with Scikit-learn, Keras, TensorFlow, or PyTorch. Excellent knowledge of SQL (complex queries). Proficiency in Qlik Sense/Power BI. Good knowledge of VBA/VBS coding. Excellent knowledge of More ❯

change, in a high-growth environment, while maintaining high standards of quality and attention to detail. Bonus: Existing interest in standard machine learning and deep-learning packages (e.g., scikit-learn, Keras, PyTorch). Exposure to commercial engineering tools or optimisation packages (e.g., Dassault Systèmes, Siemens, ANSYS, Aspen), open-source optimisation tools used in industry and academia. What we More ❯

grow and shape the data science team and its role within the wider business. What We’re Looking For Strong technical foundation with proficiency in Python (Pandas, NumPy, Scikit-learn), SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses (BigQuery, Snowflake, Redshift). Proven experience in deploying machine learning models or optimisation algorithms into More ❯

field 5+ years of hands-on experience in MLOps and Research Engineering Strong proficiency in programming languages such as Python, with experience in libraries like TensorFlow, PyTorch, and scikit-learn Demonstrated experience in designing and implementing end-to-end machine learning pipelines, including data preprocessing, model training, deployment, and monitoring Prior commercial experience in designing and implementing systematic More ❯

guidance to junior data science team members. What We're Looking For Essential Skills Python : Advanced proficiency in data manipulation, machine learning, and data science libraries (e.g., pandas, scikit-learn, TensorFlow, etc.). SQL : Strong skills in querying large datasets and optimizing performance for analysis. Machine Learning : Proven hands-on experience with various techniques including regression, classification, clustering More ❯

and multi-objective optimization using machine learning and/or deep learning methods Experienced with common python toolkits for scientific computing (e.g., numpy, pandas, scipy), machine learning (e.g., scikit-learn, pytorch), and cheminformatics/bioinformatics (e.g., rdkit, openeye, biotite, biopython) Familiarity running simulations and training models on high-performance computing (GPU) environments for corporate R&D, innovation labs More ❯

chain. Solid understanding of supervised learning, time-series forecasting, clustering , and other core ML techniques. Strong experience with SQL and querying large, complex datasets. Proficiency in Python (Pandas, scikit-learn, XGBoost, etc.); familiarity with R or dbt is a plus. Experience working with BI tools such as Looker, Tableau, or Power BI. Comfort working in high-growth environments More ❯

chain. Solid understanding of supervised learning, time-series forecasting, clustering , and other core ML techniques. Strong experience with SQL and querying large, complex datasets. Proficiency in Python (Pandas, scikit-learn, XGBoost, etc.); familiarity with R or dbt is a plus. Experience working with BI tools such as Looker, Tableau, or Power BI. Comfort working in high-growth environments More ❯

such as LTV, dynamic pricing, time-series analysis, reinforcement learning); Solid understanding of ML system design and architecture; Extensive experience with Python, core ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn), SQL, Git, and Docker; Strong problem-solving skills, attention to detail, and a commitment to delivering high-quality work; Ability to work with large language models (LLMs), including More ❯

practical systems. Background in ERP integration and custom software development. Proficiency with project management tools and stakeholder management. Experience with Machine Learning, NLP, Deep Learning, Neural Networks (TensorFlow, Scikit-learn, Pandas, etc.). Management experience at a lead or support level. Handling large data volumes in SQL, NoSQL, and Big Data databases. Proven track record of delivering projects More ❯

to meet deadlines. Understanding of the commercial impact of data activities. Proven knowledge of languages such as Python, R, Scala, or Java. Experience with data science tools like scikit-learn, pandas, R, or Weka. Good understanding of SQL and NoSQL databases; familiarity with big data technologies like Hadoop and Spark is a plus. Solid knowledge of statistics, including More ❯

software engineering knowledge, including data structures, algorithms, system design, and OOP. You have advanced knowledge of LLM architectures and ML/DL frameworks (e.g. TensorFlow, PyTorch, LangChain, Keras, scikit-learn). You're ready to design, deploy and maintain production-grade Machine Learning systems. You're willing to champion best practices in code quality, testing, observability and MLOps. More ❯