1 to 25 of 184 scikit-learn Jobs

writing clean, efficient, and maintainable code to enable scalable and production-grade AI/ML solutions. Extensive experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch), with the ability to design, implement, and optimise scalable solutions while guiding teams in the effective use of these tools. Extensive ...

across engineering, security, and product teams to deliver at pace and scale. The toolkit you’ll use 🌳 Data Science & Engineering: Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow), SQL, NoSQL, Spark, big data ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau, D3.js ...

platforms (MuleSoft, Boomi). Advanced proficiency in Python , Java , or Node.js , including experience with AI/ML frameworks such as TensorFlow , PyTorch , or scikit-learn . Knowledge of LLMs , NLP , and prompt engineering for conversational AI and intelligent automation. Deep experience with data engineering -ETL, data lakes, feature ...

Engineer (preferably in SaaS, fintech, or RegTech). Proficiency in Python, R, or Scala , with strong knowledge of libraries such as scikit-learn, TensorFlow, PyTorch, or similar. Strong understanding of statistics, probability, and machine learning techniques (classification, clustering, NLP, anomaly detection). Experience working with SQL and NoSQL ...

Engineer (preferably in SaaS, fintech, or RegTech). Proficiency in Python, R, or Scala , with strong knowledge of libraries such as scikit-learn, TensorFlow, PyTorch, or similar. Strong understanding of statistics, probability, and machine learning techniques (classification, clustering, NLP, anomaly detection). Experience working with SQL and NoSQL ...

with machine learning, deep learning, or AI technologies. Familiarity with a wide range of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Keras, Scikit-learn, etc.). Experience with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models is preferred. Skills: Strong proficiency in programming languages such ...

PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra, Redis) systems with experience in data modeling and optimization Advanced experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn) and MLOps practices for production ML systems at scale Expert knowledge of observability and monitoring tools and practices, with experience architecting solutions using ...

Azure) including and open systems (e.g. Docker and Kubernetes) and their associated ML services. Experience with Data Science tools and processes (e.g. NumPy, scikit-learn, Pandas, PySpark) Familiarity with ML lifecycle tools like MLflow, Weights & Biases Hands-on experience building Generative AI-powered applications, including Large Language Models ...

statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong problem-solving ability and analytical thinking A willingness to learn and work collaboratively in a team environment Nice to Have ...

Artificial Intelligence, Data Science, Software Engineering, Mathematics, Statistics, or a related field Strong Python skills and comfort with data-science libraries (NumPy, pandas, scikit-learn) Foundational knowledge of AI/ML concepts and frameworks (PyTorch, TensorFlow, or JAX) Exposure to reinforcement learning or similar methods (deep Q-learning ...

Java with an understanding of algorithms and data structures. Strong expertise in Python data science stack (NumPy, Pandas) and ML/DL frameworks (scikit-learn, PyTorch, TensorFlow) for end-to-end model development. 3+ years building production-ready ML infrastructure, including data pipelines, training/inference workflows ...

automation scripts with proper logging, testing (pytest), and documentation. AI & Machine Learning Frameworks - Deep expertise in AI/ML frameworks including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers. Experience building, training, and deploying machine learning models for classification, regression, clustering, and NLP tasks. Understanding of model evaluation ...

structures, data modeling, algorithms, and software architecture. Proficient in probability, statistics, and algorithm development. Hands-on experience with ML and deep learning libraries (Scikit Learn, Keras, TensorFlow, PyTorch, Theano, DyLib). (Bonus) Experience with big data and distributed computing (Hadoop, MapReduce, Spark, Storm). Proficiency in Python ...

LLMs, or Agentic AI. Strong background in ML, deep learning, NLP, computer vision, and time -series modeling. Expertise in Python , TensorFlow, PyTorch, Scikit -learn, Hugging Face, and LangChain. Proven delivery experience on AWS, Azure, or GCP . Hands -on experience with Docker, Kubernetes, and API deployment . Familiarity ...

with OpenAI, Claude Sonnet, Claude Opus, and other AI engines. Strong Python proficiency and familiarity with AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Understanding of supervised and unsupervised learning techniques. Experience working with cloud platforms (AWS, Azure, or GCP) and container tools (Docker, Kubernetes). ...

Requirements Hands-on experience in AI/ML model development or AI-driven engineering Proficiency in Python and common AI frameworks (TensorFlow, PyTorch, Scikit-Learn, etc.) Experience with cloud AI services (Azure AI, AWS Sagemaker, GCP Vertex AI) Strong understanding of model lifecycle, tuning, and evaluation Ability ...

with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g, GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). Experience with data storage for AI, vector databases, semantic search, and knowledge graphs. Contributions to open-source AI projects or research ...

performance, and accuracy. • Mentor junior engineers and review code for quality and best practices. Required Skills & Experience • Strong proficiency in Python (Pandas, NumPy, Scikit-learn, FastAPI/Flask). • Experience with machine learning workflows: data preprocessing, model training, evaluation, and deployment preferably using Microsoft stack - Azure ML, Azure ...

Solutions Engineer AI Solutions, B2B, B2C, Azure, AI Foundry, Open-AI, Microsoft Copilot Studio, Machine Learning, Python, TensorFlow, PyTorch, scikit-learn, Large Language Models, LLM, Data preprocessing, REST API, Microservices architecture, MLOps, CI/CD for ML, Power-BI, Docker, Kubernetes, AI Ethics, Cloud Platforms, AWS, Google Cloud ...

natural language processing, Bayesian statistics, time-series forecasting, collaborative filtering etc) ? Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) ? Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku, Databricks. ? Experience with ML Ops, including model deployment, monitoring ...

with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). Experience with data storage for AI, vector databases, semantic search, and knowledge graphs. Contributions to open-source AI projects or research ...

core ML concepts (classification, time-series, statistical modeling) and their real-world tradeoffs. Fluency in Python and commonly used ML libraries (e.g. pandas, scikit-learn; experience with PyTorch or TensorFlow is a plus). Experience with model lifecycle management (MLOps), including monitoring, retraining, and model versioning. Ability ...

long-term scalability, reliability, and resilience. Has strong programming skills with Python - essential. Has hands-on experience with ML frameworks (PyTorch, TensorFlow, Scikit-learn). Is experienced with cloud platforms (ideally GCP: BigQuery, Vertex AI, Dataflow), but AWS/SageMaker or similar is also valued. Has operated ...

next teammate 2-4 years of experience in software engineering, machine learning, or data science. Proficiency in Python, with exposure to ML libraries (Scikit-learn, TensorFlow, or PyTorch ). Solid understanding of data structures, algorithms, and software engineering principles. Hands-on with SQL and comfortable working with large ...

tech. What We’re Looking For 5+ years in data engineering, with team or project leadership experience. Advanced Python (Pandas, PyTorch, TensorFlow, Scikit-learn). Strong AWS/GCP , MySQL , and CI/CD experience; Docker/Kubernetes a plus. Excellent communication, organisation, and problem-solving skills. Passion ...