1 to 25 of 185 scikit-learn Jobs

analysis, and statistical methodologies. Strong grasp of supervised/unsupervised methods, evaluation metrics, feature engineering, and model tuning. Proficiency in Python (pandas, NumPy, Scikit-learn); experience with PyTorch or TensorFlow for deep learning. Experience with API development and connecting AI systems to external platforms. Working knowledge in deep ...

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 ...

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 ...

able to hold or gain a UK government security clearance. Preferred Technical And Professional Experience Familiarity with machine learning frameworks (TensorFlow, PyTorch, scikit-learn). Experience with cloud platforms (AWS, Azure, Google Cloud). Knowledge of big data technologies (Hadoop, Spark). Background in supply chain management, pricing ...

million users without incurring technical debt. Strong programming skills in Python and familiarity with ML libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar. MLOPS experience with tools such as Drift, Decay, A/B Testing. Integration and Differential testing, python package building, code version etc. ...

into clear business value and influencing enterprise AI strategy. Knowledge, Qualifications and Experience Expertise in Python and key data science libraries (NumPy, Pandas, Scikit-Learn, PyTorch, TensorFlow) with strong ML/AI knowledge, including deep learning, time-series modelling, and LLMs (fine-tuning, RAG). Hands-on experience ...

looking for someone with a strong technical foundation, an innovative mindset, and a collaborative spirit. Technical skills (essential): Expertise in Python (NumPy, pandas, scikit-learn) and SQL Experience with EDA, data wrangling, and visualization tools (e.g., Matplotlib, Plotly, BI tools) Ability to build, evaluate, and deploy ML 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 ...

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 ...

Cortex) Understanding of natural language processing, computer vision, and recommender systems Strong programming skills in Python, SQL and proficiency with ML libraries (e.g. scikit-learn, pandas, NumPy, XGBoost, LightGBM) Soft Skills Strong analytical and problem-solving mindset with attention to detail Ability to work independently and drive projects ...

Cortex) Understanding of natural language processing, computer vision, and recommender systems Strong programming skills in Python, SQL and proficiency with ML libraries (e.g. scikit-learn, pandas, NumPy, XGBoost, LightGBM) Soft Skills Strong analytical and problem-solving mindset with attention to detail Ability to work independently and drive projects ...

Cortex) Understanding of natural language processing, computer vision, and recommender systems Strong programming skills in Python, SQL and proficiency with ML libraries (e.g. scikit-learn, pandas, NumPy, XGBoost, LightGBM) Soft Skills Strong analytical and problem-solving mindset with attention to detail Ability to work independently and drive projects ...

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 ...

complex, real-world problems through data science and analytics. Experience coaching and reviewing work of junior team members. Strong Python skills (pandas, numpy, scikit-learn) and a solid grounding in probability and statistics. Deep knowledge of machine learning methods and their practical application. Experience managing multiple ...

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 ...

provision containerized environments and support model scoring via low-latency APIs Minimum Skills Required: Strong proficiency in Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch Experience with cloud platforms and containerization (Docker, Kubernetes Familiarity with data engineering tools (e.g., Airflow, Spark) and ML Ops frameworks. ...

regression, classification, clustering, and deep learning (e.g., CNNs, RNNs, GANs, etc.Programming Skills: Proficiency in Python and experience with machine learning libraries such as scikit-learn, NumPy, and Pandas.Data Handling: Strong skills in data preprocessing, data cleaning, and feature engineering.Experience with Cloud Platforms: Familiarity with cloud-based machine learning ...

data roles (i.e., data engineer/scientist/software developer) in a professional environment Deep expertise in Python (pandas/polars, NumPy, scikit-learn a plus) and strong SQL; hands-on experience with dbt and Snowflake preferred Fluency with GitHub and DevOps/infra concepts (CI/ ...

supervised/unsupervised learning, deep learning, NLP, computer vision, and generative AI Familiarity with modern AI/ML frameworks and tools (TensorFlow, PyTorch, scikit-learn, etc.) Understanding of cloud platforms (AWS, Azure, GCP) and MLOps practices Knowledge of data engineering, APIs, and software development lifecycle Strong business acumen ...

proficiency in Python 2-4 years of experience in machine learning or backend software development Hands on experience with ML frameworks (TensorFlow, PyTorch, Scikit learn) Solid understanding of ML workflows: data cleaning, model development, tuning, evaluation Familiarity with model deployment, API development, or real world ML product integration ...

DevOps practices (Infrastructure-as-Code). Proficiency with Git, Unix/Linux, Docker. Familiarity with ML frameworks such as TensorFlow, PyTorch, Keras, or scikit-learn (commercial experience not essential). Excellent communication skills for both internal and client-facing interactions. Awareness of MLOps is a plus. UK citizenship ...

DevOps practices (Infrastructure-as-Code). Proficiency with Git, Unix/Linux, Docker. Familiarity with ML frameworks such as TensorFlow, PyTorch, Keras, or scikit-learn (commercial experience not essential). Excellent communication skills for both internal and client-facing interactions. Awareness of MLOps is a plus. UK citizenship ...

additional experience with other languages is a plus Experience working with tools and frameworks such as Spark, Kafka, Airflow, MLflow, TensorFlow, PyTorch, Scikit-learn, etc. Excellent communication and interpersonal skills; ability to work with both technical and business stakeholders. Strong command of German and English language (both verbal ...