1 to 25 of 146 scikit-learn Jobs

Conversational AI development Model training, testing and evaluation Prompt Engineering and AI workflow optimisation Programming & Frameworks Strong Python development skills PyTorch TensorFlow Scikit-Learn LangChain LangGraph Hugging Face FastAPI REST APIs Data Technologies SQL NoSQL Databases Data Modelling ETL Development Data Pipeline Engineering Vector Databases such as Pinecone ...

They're Looking For Essential Experience 3+ years of commercial experience building machine learning solutions. Strong Python development skills. Experience with PyTorch, TensorFlow, Scikit-learn, or similar ML frameworks. Strong understanding of feature engineering, model evaluation, and optimisation techniques. Experience working with large datasets and SQL databases. Familiarity ...

mentor engineers and scientists, lead applied research initiatives What You'll Bring Technical Expertise: Strong Python skills with the ML stack: NumPy, pandas, scikit-learn Hands-on experience with at least one deep learning framework (PyTorch, TensorFlow, JAX) Solid grounding in core ML—supervised, unsupervised, evaluation, regularisation, statistics ...

unstructured data, especially large-scale text or content datasets. Familiarity with common data science and machine learning tools such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, or Matplotlib. The ability to translate complex and ambiguous requirements into practical, measurable, data-driven solutions, with strong analytical thinking, problem ...

Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Mathematics , or related field Strong foundation in Python (Pandas, NumPy, Scikit-learn) Understanding of machine learning concepts (regression, classification, clustering) Experience with data visualization tools (Matplotlib, Seaborn, or similar) Familiarity with SQL and working with ...

model training, and data analysis 4+ years of experience implementing machine learning models in production environments using frameworks such as TensorFlow, PyTorch, or Scikit-Learn 3+ years of experience working with large-scale data systems and distributed computing frameworks (e.g., Spark, Hadoop, Kafka, or Databricks) 3+ years ...

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 ...

tool/function calling, agentic workflows), including evaluation and safety patterns. Expertise with machine learning frameworks and data science packages (e.g., PyTorch, TensorFlow, Scikit‐Learn, NumPy, Pandas, SciPy, statsmodels). Experience deploying to AWS (e.g., SageMaker, Bedrock) and operating production workloads with attention to cost, performance, security ...

learning Exposure to machine learning models and corresponding statistics like K‐means, Bayesian, Clustering Strong technical skills with Python along with NumPy, Pandas, Scikit‐Learn Machine learning experience -> predictive and prescriptive modelling Data wrangling and data cleansing experience Strong analytical skills Any experience with Node.JS would be beneficial. ...

/ML engineering with end-to-end project ownership Strong Python skills and hands-on experience with frameworks such as PyTorch, TensorFlow, or scikit-learn Experience with LLMs, Generative AI, and open-source models (GPT, Llama, Hugging Face, etc.) Knowledge of RAG architectures , vector search, embeddings ...

/ML engineering with end-to-end project ownership Strong Python skills and hands-on experience with frameworks such as PyTorch, TensorFlow, or scikit-learn Experience with LLMs, Generative AI, and open-source models (GPT, Llama, Hugging Face, etc.) Knowledge of RAG architectures , vector search, embeddings ...

/ML engineering with end-to-end project ownership Strong Python skills and hands-on experience with frameworks such as PyTorch, TensorFlow, or scikit-learn Experience with LLMs, Generative AI, and open-source models (GPT, Llama, Hugging Face, etc.) Knowledge of RAG architectures , vector search, embeddings ...

2+ years experience as an AI/ML Engineer on real projects Strong Python development skills and experience with ML frameworks (scikit-learn, TensorFlow, PyTorch, Hugging Face) Hands-on experience with Large Language Models (LLMs) such as GPT-4, Claude Sonnet, Claude Haiku, or similar foundation models Experience ...

Data Engineering, or Software Engineering roles Strong production Python experience Hands‐on experience training and serving ML models Familiarity with PyTorch, TensorFlow, or scikit‐learn Strong working knowledge of Docker, Linux, Git, and cloud platforms (AWS, Azure, or similar) Experience deploying systems you’ve helped design Excellent communication ...

Python and SQL, with experience in data manipulation, model development, and analytical workflows. Hands‐on experience with machine learning frameworks such as scikit‐learn, TensorFlow, PyTorch, or similar. Strong experience with cloud platforms (AWS, Azure, or GCP) and building cloud‐native systems. Experience with modern data platforms such ...

Agentic AI and reinforcement learning.* Strong proficiency in programming languages, particularly Python.* Expertise in AI/ML frameworks such as PyTorch/TensorFlow, Scikit-learn, Statsmodels, LangGraph and ADK.* Familiarity with cloud platforms (preferably Google Cloud Platform and Vertex AI).* Strong analytical, critical thinking, and complex problem ...

using Data Science Platforms Experience using the latest Data Science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker ) and frameworks (e.g. Tensorflow, PyTorch, MXNet, scikit-learn ) Good understanding of software architecture patterns & application development. Familiarity with DevOps,DataOps,MLOps, LLMOps principles including code repository, code management, CI/ ...

Solid understanding of Scrum practices and a strong Agile mindset. Advanced proficiency in Python and its key data and ML libraries (NumPy, PySpark, Scikit learn, TensorFlow/PyTorch) Working knowledge of generative AI models (e.g., ChatGPT, Claude), Databricks GenAI tooling (including embedding models), and modern data structures such ...

Strong, hands on experience as a Data Scientist/ML Engineer with a focus on Python. Experience with data analysis and modelling (pandas, scikit learn) and building/improving ML models in a production context. Strong software engineering foundation: Git, code reviews, CI/CD pipelines, Docker; experience ...

team of junior data scientists and coached/mentored them in projects/li liAre proficient in bPython, SQL, and machine learning libraries (Scikit learn, TensorFlow, PyTorch, etc.)/b/li liHave strong experience in bexploratory data analysis (EDA), feature engineering, and statistical modelling/b/ ...

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/ ...

track record delivering impactful ML/AI solutions in production. Deep expertise in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn, NumPy, Pandas). Hands-on experience with GenAI, agentic AI, and automated testing for AI systems. Curiosity and creativity to challenge assumptions ...

Senior/Lead roles) Set standards, mentor scientists and lead cross-functional initiatives What You'll Bring Technical Expertise: Strong Python (pandas, scikit-learn, statsmodels) and/or R Solid statistics—inference, experimental design and causal methods Machine learning—supervised and unsupervised methods and rigorous evaluation Strong ...

star schemas and Kimball methodologies Experience supporting advanced Power BI models (DAX and Power Query) Exposure to ML/AI concepts (e.g. scikit-learn, TensorFlow) or an interest in preparing data for LLMs, RAG architectures or predictive models Experience with Docker and/or Terraform (desirable) What ...

analysis, rare event modeling, and stochastic modeling preferred but not required. Substantial experience with Python , especially data-science-relevant libraries (e.g., numpy, pandas, scikit-learn, etc.). Familiarity with database management tools and techniques (e.g., SQL, S3, API protocols) preferred but not required. Understanding of model evaluation methods ...