51 to 75 of 143 scikit-learn Jobs in the UK excluding London

unsupervised learning techniques and their applications to real-world problems. Hands-on experience with machine learning frameworks and libraries (e.g. Pytorch, TensorFlow, Keras, scikit-learn) for model development and deployment. Experience using LLMs Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and present complex ...

unsupervised learning techniques and their applications to real-world problems. Hands-on experience with machine learning frameworks and libraries (e.g. Pytorch, TensorFlow, Keras, scikit-learn) for model development and deployment. Experience using LLMs Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and present complex ...

unsupervised learning techniques and their applications to real-world problems. Hands-on experience with machine learning frameworks and libraries (e.g. Pytorch, TensorFlow, Keras, scikit-learn) for model development and deployment. Experience using LLMs Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and present complex ...

unsupervised learning techniques and their applications to real-world problems. Hands-on experience with machine learning frameworks and libraries (e.g. Pytorch, TensorFlow, Keras, scikit-learn) for model development and deployment. Experience using LLMs Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and present complex ...

unsupervised learning techniques and their applications to real-world problems. Hands-on experience with machine learning frameworks and libraries (e.g. Pytorch, TensorFlow, Keras, scikit-learn) for model development and deployment. Experience using LLMs Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and present complex ...

unsupervised learning techniques and their applications to real-world problems. Hands-on experience with machine learning frameworks and libraries (e.g. Pytorch, TensorFlow, Keras, scikit-learn) for model development and deployment. Experience using LLMs Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and present complex ...

unsupervised learning techniques and their applications to real-world problems. Hands-on experience with machine learning frameworks and libraries (e.g. Pytorch, TensorFlow, Keras, scikit-learn) for model development and deployment. Experience using LLMs Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and present complex ...

unsupervised learning techniques and their applications to real-world problems. Hands-on experience with machine learning frameworks and libraries (e.g. Pytorch, TensorFlow, Keras, scikit-learn) for model development and deployment. Experience using LLMs Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and present complex ...

unsupervised learning techniques and their applications to real-world problems. Hands-on experience with machine learning frameworks and libraries (e.g. Pytorch, TensorFlow, Keras, scikit-learn) for model development and deployment. Experience using LLMs Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and present complex ...

unsupervised learning techniques and their applications to real-world problems. Hands-on experience with machine learning frameworks and libraries (e.g. Pytorch, TensorFlow, Keras, scikit-learn) for model development and deployment. Experience using LLMs Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and present complex ...

with strong problem-solving skills and attention to detail Desirable Experience with Python and familiarity with data science or machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) Interest or experience in signals, RF, or SDRs Knowledge of version control (Git), containerisation (Docker), or cloud platforms (AWS, Google Cloud ...

Level Published papers Good understanding of software engineering concepts Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn Data Science experience including working with large data sets Responsibilities for Machine Learning Research Engineer: Join a team responsible for investigating the latest research in machine ...

Job Description Summary We are seeking a Lead Machine Learning (ML) Engineer with solid experience typically gained over at least 5 years in large multinational manufacturing environments, ideally within the energy, smart infrastructure, or industrial ...

culture, this could be an exciting match. Skills: Ability to write and produce production-grade code in Python Experience with TensorFlow, PyTorch and Scikit-learn Experience with NLPs and LLMs Speech, Text or Audio data Strong knowledge of machine learning techniques and algorithms, including supervised and unsupervised learning ...

forecasting, survival analysis). Solid object-oriented programming skills in Python and hands-on expertise with the core data science stack (Pandas, Numpy, Scikit-learn, XGBoost/LightGBM). A proven ability to break down vague, complex problems into concrete, solvable steps. Excellent communication and data storytelling skills. ...

professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows ...

professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows ...

professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows ...

professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows ...

professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows ...

professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows ...

professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows ...

professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows ...

professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows ...

professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows ...