1 to 25 of 286 scikit-learn Jobs

Jira, GitHub, and GitLab. Hands-on experience building, deploying, and scaling AI/ML solutions using frameworks and platforms such as Scikit-learn, PyTorch, TensorFlow, Hugging Face, LangChain, Databricks, Spark, vector databases, cloud services (AWS/Azure), and MLOps tools including MLflow and Kubeflow. Proven ability to develop ...

/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 ...

pricing and policy-related products. Hands-on experience developing data science models (predicting and causal modelling) using Python libraries such as pandas, NumPy, scikit-learn, and TensorFlow. Proficiency in Python and a strong understanding of software engineering principles (object-oriented design, design patterns, testing) applied to ML. Demonstrable ...

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 ...

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/ ...

causal inference techniques (e.g., diff-in-diff, IV, matching) where randomization is impracticalFluency in Python and core data/ML libraries (pandas, NumPy, scikit-learn, PyTorch or TensorFlow), combined with solid software engineering practices (clean code, testing, version control, code review)Proficient with large-scale data: strong ...

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 ...

appropriate. Experience designing evaluation frameworks for AI-generated or retrieval-based outputs. Data & EngineeringFamiliarity with machine learning frameworks such as PyTorch, TensorFlow, Scikit-learn, and Hugging Face. Experience with cloud platforms and modern development workflows, including Git and CI/CD.Understanding of MLOps practices, including experiment tracking, deployment ...

logical, curious approach to solving problems Willingness to learn quickly and take feedback Desirable experience: Familiarity with libraries such as pandas, NumPy, scikit-learn, PyTorch or TensorFlow Experience calling a large language model through an API, or building a simple prompt-based tool Exposure to cloud platforms ...

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 ...

including probability, statistics, and common learning techniques. You understand the full machine learning lifecycle and have experience operationalising models built with frameworks like Scikit-learn, TensorFlow, or PyTorch. You're an excellent communicator, able to guide technical teams and confidently advise non-technical stakeholders. You thrive ...

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 ...

deployment. Key Skills Strong Python and SQL skills. Experience building and deploying ML models in production. Hands-on knowledge of machine learning frameworks (Scikit-learn, TensorFlow, PyTorch). Data engineering and pipeline development experience. Cloud experience (AWS, Azure, or GCP). Strong understanding of software engineering best practices. ...

Engage with senior stakeholders and contribute to business development initiatives. Provide thought leadership through industry engagement and innovation. Requirements Strong Python, SQL, Pandas, Scikit-Learn and Spark experience. Experience delivering real-world AI and machine learning systems. Understanding of statistics and machine learning methodologies. Experience with cloud platforms ...

least two of the following: Python, R, or Julia. Hands-on experience using data science and machine learning libraries such as Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch, Keras, or equivalent. Experience working with Next Generation Sequencing (NGS), OMICS datasets, or other large-scale biological data. Knowledge of variant ...

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 ...

classification, regression, clustering, ranking, NLP, or LLMs).Data & ML Ecosystem: Familiarity with data processing libraries (e.g. Pandas, NumPy) and ML frameworks (e.g. PyTorch, Scikit-learn or XGBoost).Growth Mindset: A genuine interest in distributed system and software design, concurrent algorithms, data structures, and software engineering. At Quantcast ...

causal inference Experience designing and evaluating marketing experiments and lift studies Advanced SQL skills and hands-on Python experience, ideally including pandas, scikit-learn, statsmodels, or similar libraries Familiarity with modern data platforms such as Snowflake, dbt, and cloud-based analytics environments Understanding of digital advertising platforms, attribution ...

Ability to manage multiple priorities across a portfolio of projects Experience engaging both technical and business stakeholders Experience with libraries such as SciPy, Scikit-learn, PyTorch, Keras Experience working with cloud platforms and modern data stacks (e.g. Databricks, Azure) Knowledge of building and deploying large-scale machine learning ...

/LangChain/LangGraph/AI Agents/Enterprise Search/Neural Networks/Model Deployment/Edge AI/TensorFlow/scikit-learn/Linux/Git/Machine Learning/Artificial Intelligence/Computer Science/Mathematics/Statistics RedTech Recruitment Ltd focus on finding roles ...

Marketing experimentation Strong statistical background covering: Hypothesis testing Causal inference Power analysis Sample size calculation Regression modelling Strong SQL skills. Python experience (pandas, scikit-learn, scipy, statsmodels). Experience working with modern analytics stacks. Ability to communicate technical concepts to marketing and commercial stakeholders. Comfortable using ...

Competencies The successful candidate will demonstrate: Proficiency in React Native and TypeScript. Proficiency in Python, including machine learning libraries such as PyTorch or scikit-learn, and experience of large language model APIs. Competence in automated testing (Jest and pytest) and in Git and GitHub, including code review. ...