1 to 25 of 40 scikit-learn Jobs

products. Key Skills & Experience: Experience in machine learning, data science, or applied AI roles. Proficiency in Python and ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Strong understanding of statistics, ML algorithms, and model evaluation techniques. Experience working with cloud platforms (AWS, Azure ...

products. Key Skills & Experience: Experience in machine learning, data science, or applied AI roles. Proficiency in Python and ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Strong understanding of statistics, ML algorithms, and model evaluation techniques. Experience working with cloud platforms (AWS, Azure ...

products. Key Skills & Experience: Experience in machine learning, data science, or applied AI roles. Proficiency in Python and ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Strong understanding of statistics, ML algorithms, and model evaluation techniques. Experience working with cloud platforms (AWS, Azure ...

problems into AI solutions. Mentor junior engineers and contribute to AI architecture and technology strategy. Core Technical Skills: Programming: Python, SQL. Machine Learning: Scikit-learn, XGBoost/LightGBM. Deep Learning: PyTorch/TensorFlow. GenAI: LLMs, Prompt Engineering, Embeddings, RAG. Agentic AI: LangGraph, LangChain or equivalent frameworks. Vector Search ...

regulated industries such as banking, financial services, or insurance. Experience with technologies in the stated stack, including Python, SQL, NLP, PyTorch, TensorFlow, Scikit-learn, LangChain/LangGraph, vector databases, document stores, and CI/CD. Experience with LLM platforms such as Azure OpenAI, OpenAI, AWS Bedrock, or Google ...

another STEM-related discipline. Desirable Skills Experience with cloud platforms such as AWS, Azure or GCP . Experience with Pandas, NumPy and Scikit-learn . Knowledge of data visualisation tools such as Power BI or Tableau. Experience with Git/version control. Exposure to Generative AI, LLMs ...

LLMs and GenAI: prompt engineering, RAG, embeddings, and agent frameworks (e.g., LangChain, LlamaIndex) Strong Python skills and fluency in ML frameworks (PyTorch, TensorFlow, scikit-learn) Deep experience with at least one major cloud (AWS, Azure, or GCP) and its AI services (e.g., SageMaker, Bedrock, Azure OpenAI, Vertex ...

machine learning, including coursework or practical work with NLP or LLMs Proficiency in Python for data analysis (Pandas, NumPy) and ML model development (scikit-learn, PyTorch) Experience programming in Java and C++ Strong understanding of Linux, including command-line usage, system navigation, and scripting Familiarity with LLM concepts ...

/LLMs, multimodal AI, self-supervised learning, reinforcement learning, time-series analytics or foundation models. Experience with AI frameworks and libraries: PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers; OpenCV for vision applications. Strong understanding of experimental design, statistical evaluation, benchmarking and model validation. Experiment tracking and reproducibility tools ...

leading ML/AI technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management ...

will have experience in many of the following: Hands-on experience developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow Strong experience with AWS ML services (SageMaker, Lambda, S3) in production environments Strong experiment design skills: hypothesis formulation, A/ ...

will have experience in many of the following: Hands-on experience developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow Strong experience with AWS ML services (SageMaker, Lambda, S3) in production environments Strong experiment design skills: hypothesis formulation, A/ ...

will have experience in many of the following: Hands-on experience developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow Strong experience with AWS ML services (SageMaker, Lambda, S3) in production environments Strong experiment design skills: hypothesis formulation, A/ ...

intelligent automation solutions. AI/ML Engineering: Practical experience building and deploying AI/ML models using frameworks such as Python, TensorFlow, PyTorch, scikit-learn, or Azure AI services. Software Engineering: Strong programming skills in Python, C#, .NET, PowerShell, or similar languages, with experience building REST APIs, microservices ...

modern data science and machine learning techniques, including supervised and unsupervised learning. Proficiency in the Python data science ecosystem (e.g. NumPy, Pandas, scikit-learn, PyTorch, TensorFlow). Experience with big data and distributed analytics platforms (e.g. Spark, Hadoop). Hands-on experience with Natural Language Processing, graph analytics ...

experience in the following areas: Experience using Python and machine learning libraries/frameworks including at least one of the following: Pandas, NumPy, Scikit-learn, PyTorch or TensorFlow; experience with machine learning model development, feature engineering, and data analysis; experience with cloud infrastructure and deployment; Experience with Agile ...

science processes. Experience in translating customer requirements into technical requirements and development objectives. Python expertise covering standard data science libraries (NumPy, pandas, matplotlib, Scikit-learn, PyTorch, etc...), web frameworks (Flask or FastAPI) and visualisation (Dash, Plotly, & Streamlit). Proficient in SQL. Working with unstructured data Building customer ...

instinct for leakage, bias and overfitting in messy real-world data. Strong ML fundamentals across classical ML and deep learning (pandas, scikit-learn, XGBoost or LightGBM, PyTorch), and the judgement to tell when a language model is the wrong tool. A deep understanding of how modern models ...

Text2SQL, fine-tuning) with HuggingFace, LangChain, DSPy Production-grade GenAI deployments including evaluation and optimization Extensive hands-on data science experience with pandas, scikit-learn, PyTorch Experience deploying ML on AWS, Azure, or GCP Graduate degree in a quantitative discipline or equivalent practical experience Strong communication skills with ...

computer vision projects Knowledge of AWS, Azure, or GCP Familiarity with Docker, APIs, or Git workflowsFamiliarity with frameworks such as PyTorch, TensorFlow, or Scikit-learn Internship, university project, or personal portfolio related to AI/ML What’s on Offer Competitive graduate salary package Company stock options/ ...

Desirable Experience Machine Learning model development and training. LLMs, transformers, RAG and Agentic AI. LangChain, LangGraph or similar AI orchestration frameworks. PyTorch, TensorFlow, Scikit-learn or Hugging Face. Vector databases, embeddings and model evaluation. NLP, Computer Vision or multimodal AI. Edge AI, AI safety, security or explainability. Experience ...

four years of work experience; and (5) Demonstrated knowledge of AI tools such as Python and ML frameworks such as TensorFlow, PyTorch or Scikit-learn gained through at least two years of work experience. All years of experience and project completion may be gained concurrently. This position ...

define what 'good' means for a model, build the test set and measure it. Strong grounding in the ML stack, such as PyTorch, scikit-learn, Hugging Face and vector databases, alongside sound software engineering practice. Experience deploying and monitoring models on cloud infrastructure, ideally AWS, with ...

data and implementing data science processes. Experience in translating customer requirements intotechnical requirements and development objectives. Pythonexpertisecovering standard data sciencelibraries (NumPy, pandas, matplotlib, Scikit-learn,PyTorch, etc),web frameworks (Flask or FastAPI) and visualisation(Dash,Plotly,&Streamlit). Proficient inSQL. Working with unstructured data Building customer and stakeholder ...

natural language processing, computer vision, and recommendation engines. Key Responsibilities Design, train, and optimize machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn Process and analyze large datasets to extract insights and build training pipelines Deploy ML models to production environments and monitor performance Research emerging ...