26 to 50 of 151 Permanent scikit-learn Jobs

Responsible AI principles (e.g. Fairness, Accountability, Transparency, Ethics) and AI Governance in finance Strong and proven hands on experience implementing solutions (e.g. Python, scikit learn, pandas, keras, TensorFlow/PyTorch, GPT models) Strong communication skills (presenting, writing) and highly collaborative mindset Innovative mindset and creative thinking demonstrated ...

Senior-level experience in data science or a quantitative field Proficient programming skills (Python preferred); familiarity with core data science libraries (NumPy, Pandas, Scikit-Learn) Experience with deep learning tools (e.g. PyTorch, TensorFlow, or similar) Strong mathematical/statistical background Familiarity with a wide range of data science ...

Senior-level experience in data science or a quantitative field Proficient programming skills (Python preferred); familiarity with core data science libraries (NumPy, Pandas, Scikit-Learn) Experience with deep learning tools (e.g. PyTorch, TensorFlow, or similar) Strong mathematical/statistical background Familiarity with a wide range of data science ...

Senior-level experience in data science or a quantitative field Proficient programming skills (Python preferred); familiarity with core data science libraries (NumPy, Pandas, Scikit-Learn) Experience with deep learning tools (e.g. PyTorch, TensorFlow, or similar) Strong mathematical/statistical background Familiarity with a wide range of data science ...

Embeddings - Transformers: BERT, ELMo - OpenAI Models: GPT-3.5 Turbo, GPT-4o, GPT-3o Reasoning, text-embedding-ada-002 Libraries & Tools - numpy, pandas, scipy, scikit-learn, tensorflow, keras, nltk, matplotlib, seaborn, plotly Programming Languages - Python, R, C++, C#, Java, Node.js, HTML, SQL Agentic AI - OpenAI Agents SDK, Model Context ...

Advanced analytical and problem-solving skills with real business impact Strong Python (production-level) and SQL skills Experience with ML/AI libraries (scikit-learn, TensorFlow, PyTorch) Familiarity with MLOps , model deployment and cloud platforms (Databricks, AWS, Azure) Nice to have Experience in contact centres , workforce planning ...

research techniques to real-world business problems Proficiency in Python (production-level) and SQL ; experience with modern ML/AI libraries such as scikit-learn, TensorFlow or PyTorch Familiarity with MLOps , model deployment and cloud platforms such as Databricks, AWS or Azure It would be great ...

talented ML Ops Engineer to join our growing teams. Key Responsibilities Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow ...

candidates from other asset classes with genuine interest in power & gas. Strong Python skills and experience with the scientific stack (NumPy, pandas, SciPy, scikit-learn or similar). You write clean, production-grade code, not just notebooks. Solid understanding of stochastic processes, Monte Carlo simulation, and time series ...

candidates from other asset classes with genuine interest in power & gas. Strong Python skills and experience with the scientific stack (NumPy, pandas, SciPy, scikit-learn or similar). You write clean, production-grade code, not just notebooks. Solid understanding of stochastic processes, Monte Carlo simulation, and time series ...

candidates from other asset classes with genuine interest in power & gas. Strong Python skills and experience with the scientific stack (NumPy, pandas, SciPy, scikit-learn or similar). You write clean, production-grade code, not just notebooks. Solid understanding of stochastic processes, Monte Carlo simulation, and time series ...

candidates from other asset classes with genuine interest in power & gas. Strong Python skills and experience with the scientific stack (NumPy, pandas, SciPy, scikit-learn or similar). You write clean, production-grade code, not just notebooks. Solid understanding of stochastic processes, Monte Carlo simulation, and time series ...

candidates from other asset classes with genuine interest in power & gas. Strong Python skills and experience with the scientific stack (NumPy, pandas, SciPy, scikit-learn or similar). You write clean, production-grade code, not just notebooks. Solid understanding of stochastic processes, Monte Carlo simulation, and time series ...

systems. Build, train, fine-tune, and evaluate AIML models for automation use cases. Develop Python-based data pipelines and algorithms using NLTK, NumPy, Scikit-learn, Pandas. Collaborate with cross-functional teams in an Agile setup (sprint planning, refinement, retrospectives). Integrate solutions with test automation frameworks ...

embeddings and semantic search Collaborating with engineering, data and product teams What you'll need: Strong Python and experience with TensorFlow, PyTorch or scikit-learn Hands-on LLM work—prompt engineering, modern NLP techniques AWS experience: SageMaker, Bedrock, S3, Lambda, CloudWatch Understanding of deep learning, transformers and attention ...

unsupervised learning techniques and their applications to real-world problems. Hands-on experience with machine learning frameworks and libraries (e.g. Pytorch, TensorFlow, Keras, scikit-learn) for model development and deployment. Experience using LLMs Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and present complex ...

unsupervised learning techniques and their applications to real-world problems. Hands-on experience with machine learning frameworks and libraries (e.g. Pytorch, TensorFlow, Keras, scikit-learn) for model development and deployment. Experience using LLMs Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and present complex ...

unsupervised learning techniques and their applications to real-world problems. Hands-on experience with machine learning frameworks and libraries (e.g. Pytorch, TensorFlow, Keras, scikit-learn) for model development and deployment. Experience using LLMs Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and present complex ...

unsupervised learning techniques and their applications to real-world problems. Hands-on experience with machine learning frameworks and libraries (e.g. Pytorch, TensorFlow, Keras, scikit-learn) for model development and deployment. Experience using LLMs Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and present complex ...

with strong problem-solving skills and attention to detail Desirable Experience with Python and familiarity with data science or machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) Interest or experience in signals, RF, or SDRs Knowledge of version control (Git), containerisation (Docker), or cloud platforms (AWS, Google Cloud ...

learning. Solid understanding of data structures, algorithms, and software engineering principles. Hands-on experience with machine learning libraries and frameworks (TensorFlow, Keras, PyTorch, Scikit-Learn, etc. Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes Experience in testing and validating machine learning models ...

Experience with generative models (GANs, VAEs, Diffusion models) Programming & Tools : Expert-level Python programming Proficiency with ML frameworks (PyTorch, TensorFlow, JAX) Experience with scikit-learn, XGBoost, LightGBM Strong software engineering practices and clean code principles Data & Computing : Experience with big data technologies (Spark, Dask) SQL and NoSQL databases ...

related field; 3+ years of experience in machine learning. Strong programming skills in Python, with experience using data and ML libraries (pandas, scikit-learn, etc.). Proficiency in SQL and data querying from cloud data warehouses. Ensure data quality and integrity in all processes. Experience with building backend ...

Level Published papers Good understanding of software engineering concepts Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn Data Science experience including working with large data sets Responsibilities for Machine Learning Research Engineer: Join a team responsible for investigating the latest research in machine ...

relevant work experience in NLP, data engineering, or language data processing, Strong Python proficiency with extensive experience in data processing libraries (Pandas, NumPy, Scikit-learn), Hands-on experience with large-scale data collection, cleaning, and ETL pipelines, Understanding of NLP fundamentals: tokenization, sentence alignment, language identification, text preprocessing ...