176 to 200 of 433 scikit-learn Jobs

years experience in applied ML, data science, or AI, including senior or leadership roles. Expert in Python, proficient with frameworks such as PyTorch, TensorFlow, FastAI, and experience with scikit-learn, MLflow, or ONNX. Solid engineering backgroundexperienced in deploying and maintaining ML systems on Azure, including Azure Machine Learning, Azure Functions, Databricks, Docker, and Kubernetes. Experience with real-time More ❯

years’ experience in applied ML, data science, or AI, including senior or leadership roles. Expert in Python, proficient with frameworks such as PyTorch, TensorFlow, FastAI, and experience with scikit-learn, MLflow, or ONNX. Solid engineering background—experienced in deploying and maintaining ML systems on Azure, including Azure Machine Learning, Azure Functions, Databricks, Docker, and Kubernetes. Experience with real More ❯

machine learning lifecycle Working with Data Scientists to deploy trained machine learning models into production environments Working with a range of models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch Experience with software engineering best practices and developing applications in Python. Technical experience of cloud architecture, security, deployment, and open-source tools ideally with one More ❯

machine learning lifecycle Working with Data Scientists to deploy trained machine learning models into production environments Working with a range of models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch Experience with software engineering best practices and developing applications in Python. Technical experience of cloud architecture, security, deployment, and open-source tools ideally with one More ❯

machine learning lifecycle Working with Data Scientists to deploy trained machine learning models into production environments Working with a range of models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch Experience with software engineering best practices and developing applications in Python. Technical experience of cloud architecture, security, deployment, and open-source tools ideally with one More ❯

machine learning lifecycle Working with Data Scientists to deploy trained machine learning models into production environments Working with a range of models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch Experience with software engineering best practices and developing applications in Python. Technical experience of cloud architecture, security, deployment, and open-source tools ideally with one More ❯

L domain experts Required Skills/Experience The ideal candidate will have the following: Be an expert Python programmer proficient in frameworks/libraries such as: Numpy, Pandas, Scikit-Learn, Langchain, Llamaindex, Azure AI Foundry amongst others. Must have Azure and be an expert with R&D on generative AI techniques Practical experience with GenAI techniques such as More ❯

background will include: 3+ years industry experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression More ❯

the end-to-end machine learning lifecycle, including data ingestion, preprocessing, model training, deployment, and production monitoring 3+ years of experience with modern machine learning tools and libraries (scikit-learn, PyTorch, TensorFlow, spaCy, etc) with strong proficiency in Python 3+ years of experience with any of the following fundamental AI technologies: vector search, embedding models, recommender systems, supervised More ❯

years of real world experience Strong analytical background with proven expertise in exploratory data analysis, feature engineering, and working with tabular datasets Proficiency in Python (including libraries like Scikit-learn) and SQL, with solid experience in relational databases Good knowledge and experience of the broader data science domains, especially large language models or computer vision models used for More ❯

technical audiences Right to work in the UK Strong academic background (GCSEs, A-Levels or equivalent) Desirable (but not essential) Experience with Python libraries like Pandas, NumPy, or Scikit-learn Exposure to machine learning concepts or blockchain architecture Coursework or personal projects involving data analysis, AI/ML, or distributed systems Knowledge of data visualisation tools like Power More ❯

including experience with software testing (unit, integration, system), and knowledge of test-driven development; other languages are a plus. Proficiency in at least one ML framework, such as scikit-learn, XGBoost, Tensorflow, or PyTorch. Proficiency with Cloud platform(s), such as Google Cloud Platform, Amazon Web Services, or Azure. Experience in designing, and deploying ML pipelines in production More ❯

and ML issues in live production environments. Were looking for individuals with: Experience: Proven background as a Machine Learning Engineer. Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib). Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services). Expertise: Solid understanding of computer More ❯

ML issues in live production environments. We’re looking for individuals with: Experience: Proven background as a Machine Learning Engineer. Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib). Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services). Expertise: Solid understanding of computer More ❯

LLM and ML research. What We're Looking For MSc or PhD in Computer Science, Data Science, Mathematics, Physics, or a related field. Strong Python skills (pandas, NumPy, scikit-learn, PyTorch). Curiosity, rigour, and drive to improve model performance. Why Join Us Work on real applied LLMs from training to deployment. Collaborate with an ambitious, research-informed More ❯

LLM and ML research. What We’re Looking For MSc or PhD in Computer Science, Data Science, Mathematics, Physics, or a related field. Strong Python skills (pandas, NumPy, scikit-learn, PyTorch). Curiosity, rigour, and drive to improve model performance. Why Join Us Work on real applied LLMs from training to deployment. Collaborate with an ambitious, research-informed More ❯

LLM and ML research. What We’re Looking For MSc or PhD in Computer Science, Data Science, Mathematics, Physics, or a related field. Strong Python skills (pandas, NumPy, scikit-learn, PyTorch). Curiosity, rigour, and drive to improve model performance. Why Join Us Work on real applied LLMs from training to deployment. Collaborate with an ambitious, research-informed More ❯

LLM and ML research. What We’re Looking For MSc or PhD in Computer Science, Data Science, Mathematics, Physics, or a related field. Strong Python skills (pandas, NumPy, scikit-learn, PyTorch). Curiosity, rigour, and drive to improve model performance. Why Join Us Work on real applied LLMs from training to deployment. Collaborate with an ambitious, research-informed More ❯

. ✅ Strong expertise in Snowflake and MongoDB for data modeling and integration. ✅ Hands-on experience with Azure, AWS, or GCP cloud ecosystems. ✅ Deep proficiency in PyTorch, TensorFlow, or Scikit-learn . ✅ Understanding of MLOps, LLMOps , and modern data engineering best practices. Why Ascendion? At Ascendion, we combine human creativity and technology excellence to build the future of digital More ❯

. ✅ Strong expertise in Snowflake and MongoDB for data modeling and integration. ✅ Hands-on experience with Azure, AWS, or GCP cloud ecosystems. ✅ Deep proficiency in PyTorch, TensorFlow, or Scikit-learn . ✅ Understanding of MLOps, LLMOps , and modern data engineering best practices. Why Ascendion? At Ascendion, we combine human creativity and technology excellence to build the future of digital More ❯

. ✅ Strong expertise in Snowflake and MongoDB for data modeling and integration. ✅ Hands-on experience with Azure, AWS, or GCP cloud ecosystems. ✅ Deep proficiency in PyTorch, TensorFlow, or Scikit-learn . ✅ Understanding of MLOps, LLMOps , and modern data engineering best practices. Why Ascendion? At Ascendion, we combine human creativity and technology excellence to build the future of digital More ❯

outcomes. What You’ll Bring 🔥Deep knowledge of ML/statistical methods (e.g. supervised/unsupervised, Bayesian, time-series). ⚙️Strong Python skills with core libraries (NumPy, Pandas, Scikit-Learn) plus deep learning frameworks (PyTorch, TensorFlow). 🚀Strong leadership in project delivery, architecture, and technical decision-making. 💡Excellent communicator, able to simplify complex ideas for any audience. 📈Strategic More ❯

outcomes. What You’ll Bring 🔥Deep knowledge of ML/statistical methods (e.g. supervised/unsupervised, Bayesian, time-series). ⚙️Strong Python skills with core libraries (NumPy, Pandas, Scikit-Learn) plus deep learning frameworks (PyTorch, TensorFlow). 🚀Strong leadership in project delivery, architecture, and technical decision-making. 💡Excellent communicator, able to simplify complex ideas for any audience. 📈Strategic More ❯

the development of AI/ML proof-of-concepts and evaluate their business value 🧠 What You will Bring Extensive experience with Python and data science Python packages (e.g. scikit-learn, pandas, numpy, etc). (LEAD) Understanding of data science concepts, AI/ML models, evaluation approaches, and data science applications to enhance business processes. (LEAD) Proven hands-on More ❯

the development of AI/ML proof-of-concepts and evaluate their business value 🧠 What You will Bring Extensive experience with Python and data science Python packages (e.g. scikit-learn, pandas, numpy, etc). (LEAD) Understanding of data science concepts, AI/ML models, evaluation approaches, and data science applications to enhance business processes. (LEAD) Proven hands-on More ❯