1 to 25 of 34 scikit-learn Jobs in the South West

required). 3+ years of professional experience in machine learning engineering. 2+ years of leadership or technical mentoring experience. Strong expertise in Python for machine learning (Pandas, NumPy, scikit-learn, etc.). Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning). Experience building and maintaining More ❯

required). 3+ years of professional experience in machine learning engineering. 2+ years of leadership or technical mentoring experience. Strong expertise in Python for machine learning (Pandas, NumPy, scikit-learn, etc.). Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning). Experience building and maintaining More ❯

required). 3+ years of professional experience in machine learning engineering. 2+ years of leadership or technical mentoring experience. Strong expertise in Python for machine learning (Pandas, NumPy, scikit-learn, etc.). Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning). Experience building and maintaining More ❯

required). 3+ years of professional experience in machine learning engineering. 2+ years of leadership or technical mentoring experience. Strong expertise in Python for machine learning (Pandas, NumPy, scikit-learn, etc.). Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning). Experience building and maintaining More ❯

required). 3+ years of professional experience in machine learning engineering. 2+ years of leadership or technical mentoring experience. Strong expertise in Python for machine learning (Pandas, NumPy, scikit-learn, etc.). Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning). Experience building and maintaining More ❯

required). 3+ years of professional experience in machine learning engineering. 2+ years of leadership or technical mentoring experience. Strong expertise in Python for machine learning (Pandas, NumPy, scikit-learn, etc.). Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning). Experience building and maintaining More ❯

required). 3+ years of professional experience in machine learning engineering. 2+ years of leadership or technical mentoring experience. Strong expertise in Python for machine learning (Pandas, NumPy, scikit-learn, etc.). Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning). Experience building and maintaining More ❯

required). 3+ years of professional experience in machine learning engineering. 2+ years of leadership or technical mentoring experience. Strong expertise in Python for machine learning (Pandas, NumPy, scikit-learn, etc.). Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning). Experience building and maintaining More ❯

intelligence, law enforcement, or government. Active EDV/UK*C security clearance. Proficient in Python and/or R, with experience using data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Strong statistical, mathematical, and data modelling skills. Experience with data visualisation tools (e.g., Power BI, Tableau, matplotlib, Plotly). Familiarity with big data tools and More ❯

last 5 years. You must be able to hold or gain a UK government security clearance. Preferred Technical And Professional Experience Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn). Familiarity with big data technologies (Hadoop, Spark). Background in data science, IT consulting, or a related field. AWS Certified Big Data or equivalent Seniority level Seniority More ❯

Proficiency using Natural Language Processing techniques for solving problems, ideally including Large Language Models. Proficiency in Python, particularly with machine learning and data science libraries such as PyTorch, scikit-learn, numpy and scipy. Good communication and interpersonal skills. Experience working with large-scale data processing systems such as Spark and Hadoop. Experience in software development in agile environments More ❯

Proficiency using Natural Language Processing techniques for solving problems, ideally including Large Language Models Proficiency in Python, particularly with machine learning and data science libraries such as PyTorch, scikit-learn, numpy and scipy Good communication and interpersonal skills Experience working with large-scale data processing systems such as Spark and Hadoop Experience in software development in agile environments More ❯

focus on scalable deployment What We’re Looking For: 2+ years of experience building and deploying machine learning models Strong programming skills in Python and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Experience with model evaluation, tuning, and productionisation Exposure to cloud platforms (e.g., Azure, AWS, or GCP) and containerisation tools (e.g., Docker) A collaborative mindset, strong problem More ❯

extracting business value from data science methods using both quantitative and qualitative metrics. Strong mathematical and statistical background. Deep knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow, and PySpark. Experience and understanding of mixed technical teams such as engineering, architects, business analysts. Familiar with MLOps industry best practices. Good stakeholder communication skills More ❯

extracting business value from data science methods using both quantitative and qualitative metrics. Strong mathematical and statistical background. Deep knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow, and PySpark. Experience and understanding of mixed technical teams such as engineering, architects, business analysts. Familiar with MLOps industry best practices. Good stakeholder communication skills More ❯

on understanding business requirements and designing optimal AI solutions. Develop and deploy AI models for visual data analysis and inference using Python and C++, OpenVINO, OpenCV, AWS, CVAT, scikit-learn, and scipy. Collaborate with our data scientists and domain experts to understand project requirements and design optimised AI solutions. Preprocess and analyse visual data using OpenCV, scikit … of commercial experience as an AI Engineer or similar roles. Strong proficiency in Python/C++ for AI model development and inference. Experience with OpenVINO, OpenCV, AWS, CVAT, scikit-learn, and scipy for visual AI applications. Proficiency in TensorFlow/Keras, PyTorch, and PaddlePaddle for model training and optimisation. Strong analytical and problem-solving skills with the ability More ❯

on understanding business requirements and designing optimal AI solutions. Develop and deploy AI models for visual data analysis and inference using Python and C++, OpenVINO, OpenCV, AWS, CVAT, scikit-learn, and scipy. Collaborate with data scientists and domain experts to understand project requirements and design optimized AI solutions. Preprocess and analyze visual data using OpenCV, scikit-learn … of commercial experience as an AI Engineer or similar roles. Strong proficiency in Python/C++ for AI model development and inference. Experience with OpenVINO, OpenCV, AWS, CVAT, scikit-learn, and scipy for visual AI applications. Proficiency in TensorFlow/Keras, PyTorch, and PaddlePaddle for model training and optimization. Strong analytical and problem-solving skills with the ability More ❯

development of advanced AI and machine learning models, integrating plasma physics insights to innovate semiconductor solutions, such as plasma etch and deposition. Utilize Python libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) to architect and prototype cutting-edge ML systems, leveraging Linux environments. Able to expand programming expertise to other languages such as C++ and Java. Drive complex … leading mid-scale development projects. Advanced proficiency in at least one of Python, C++, Fortran, Julia, or Java, with experience in AI/ML libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) and familiarity with Linux environments. Strong understanding of physics and engineering principles, ideally with plasma physics knowledge relevant to semiconductor processing. Exceptional communication and leadership skills 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 Cloud platforms (AWS/Azure/GCP) Experience with AI governance and responsible AI practices Understanding of public sector data More ❯

Social network you want to login/join with: Data Scientist/Machine Learning Engineer/AI Engineer - Java, Python, scikit-learn, TensorFlow, PyTorch AWS, Machine Learning, Artificial intelligence (Hybrid - 3 days in the office -mon, weds, Friday) Data Scientist/Machine Learning Engineer:- You will be joining a fast-growing, research-driven company building an artificial intelligence … Data Science/Machine Learning role Solid experience of Python and some Java (Could be from University projects) A strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Familiarity with cloud platforms (AWS) and Kubernetes for deploying A degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience in engineering. … etc.) The latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill. Data Scientist/Machine Learning Engineer/AI Engineer - Java, Python, scikit-learn, TensorFlow, PyTorch AWS, Machine Learning, Artificial intelligence (Hybrid - 3 days in the office -mon, weds, Friday) Applicants must have the right to work in the UK, no sponsorship More ❯

Social network you want to login/join with: Data Scientist/Machine Learning Engineer/AI Engineer - Java, Python, scikit-learn, TensorFlow, PyTorch AWS, Machine Learning, Artificial intelligence (Hybrid - 3 days in the office -mon, weds, Friday) Data Scientist/Machine Learning Engineer:- You will be joining a fast-growing, research-driven company building an artificial intelligence … Data Science/Machine Learning role Solid experience of Python and some Java (Could be from University projects) A strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Familiarity with cloud platforms (AWS) and Kubernetes for deploying A degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience in engineering. … etc.) The latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill. Data Scientist/Machine Learning Engineer/AI Engineer - Java, Python, scikit-learn, TensorFlow, PyTorch AWS, Machine Learning, Artificial intelligence (Hybrid - 3 days in the office -mon, weds, Friday) Applicants must have the right to work in the UK, no sponsorship More ❯

experience in software engineering Strong proficiency in Python and one additional language (e.g. C++, Java, Scala) Experience with ML frameworks (e.g. PyTorch, TensorFlow), and scientific libraries (NumPy, SciPy, scikit-learn) Familiarity with audio data (or video), able to handle large binary files Proven experience in at least one of: ML model deployment, ML Ops, AI agents, or LLM More ❯

image classification, detection, facial recognition, etc.) Understanding of transfer learning and popular augmentation techniques Able to apply machine learning to real-life problems Vision Transformers, DeepLabv3, SegFormer, etc.Python, Scikit-Learn, NumPy, Pandas and PyTorch/TensorFlow/Keras Thrive in a cross-functional working environment Possess a clear passion for data science beyond the day job Nice-to 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 in system design, application development, testing, and operational stability. Proficient in coding in Python. Proficient in the use of basic data science libraries in Python (NumPy, pandas, scikit-learn, pyspark). Experience in developing, debugging, and maintaining code in a large corporate environment with modern programming languages and database querying languages. Overall knowledge of the Software Development More ❯