1 to 25 of 165 Permanent scikit-learn Jobs

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 ...

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 ...

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 ...

techniques, including LLMs, GenAI, and automated AI systems. Experience with machine learning frameworks (eg, TensorFlow, PyTorch) and data science libraries (eg, NumPy, pandas, scikit-learn). Proficiency in Python, R, or other relevant programming languages. Proficiency in working with large datasets, data wrangling, and data preprocessing. Experience ...

enhance predictive accuracy, interpretability, and automation. Engineer scalable analytical frameworks and reusable ML assets, integrating Python-based (or other) ML pipelines (TensorFlow, PyTorch, Scikit-learn, Pandas) with enterprise data platforms (Snowflake, Azure, Google Vertex AI) to standardise insight generation and model delivery. Collaborate with Data Architecture and Engineering ...

innovate, explore possibilities and grow with purpose. What you'll need Advanced proficiency in Python and SQL; hands‐on use of pandas, NumPy, scikit‐learn, PyTorch. Strong knowledge of supervised/unsupervised learning; experience in NLP, anomaly detection, classification. Experience across the full software development lifecycle, from experimentation ...

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 ...

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 ...

tools into production, delivering scalable and effective solutions. Strong proficiency in Python and key libraries commonly used in machine learning (e.g., NumPy, Pandas, Scikit-Learn, PyTorch, Langchain). Advanced working knowledge of SQL Experience with GitHub for version control. Demonstrated experience productionising ML models and analytic outputs within ...

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 ...

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 ...

learning, deep learning, NLP, computer vision, Agentic AI, data, automation and generative AI Familiarity with modern AI frameworks and tools (e.g. TensorFlow, PyTorch, scikit-learn, UiPath, Databricks, Snowflake etc. ) Familiarity with governance frameworks and compliance considerations for AI products Understanding of cloud platforms (AWS, Azure, GCP) and MLOps ...

architect packages, and own architectural and procedural choices for effective shared codebases within Foundry. Knowledge of Python and scientific computing packages (PyTorch, NumPy, Scikit-learn, TensorFlow). Experience with data modeling and pipeline development in Palantir Foundry. Experience with frontend development for intuitive user experience. Broad skillset with ...

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 ...

life for leaders. Support evidence-based decision-making across HR and the wider business. Skills And Requirements Strong proficiency in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow, and experience with AI frameworks for deep learning and generative models) and SQL. Experience working with HR data sources (Workday … computer science, economics, organisational psychology, or related field). Demonstrable experience in exploratory data analysis, feature engineering, and predictive modelling. Experience with Python, Scikit-learn, and PyTorch. Ideally with exposure to PySpark, Snowflake, AWS, and GitHub (MLOps practices). Knowledge of AI model evaluation techniques, including prompt optimisation ...

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 ...

statistical modelling, and modern AI techniques (supervised/unsupervised, time-series, Bayesian, deep learning). 🐍 Strong Python engineering skills — NumPy, Pandas, Scikit-Learn, plus PyTorch/TensorFlow. 🏗 Experience building scalable ML systems in production (ML Ops, CI/CD for ML, model optimisation). 🚀 Proven experience ...

Experience in customer-facing or consulting roles is strongly preferred Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment Engineering best practices ...

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. Actively contributes to open-source AI projects, research ...

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 ...