1 to 25 of 57 scikit-learn Jobs in the UK excluding London

probability: experimental design, inference, hypothesis testing, sampling, power analysis, regression/GLMs, Bayesian methods. Experience with core data science libraries: pandas, NumPy, scikit-learn, statsmodels; familiarity with PyTorch/TensorFlow and Hugging Face for NLP/LLM-assisted analytics is a plus. Data wrangling and querying (SQL); familiarity ...

/DL algorithms and techniques for supervised, unsupervised, and, where relevant, reinforcement learning. Experience with AI frameworks and libraries: PyTorch, TensorFlow, scikit‐learn, Hugging Face Transformers; OpenCV for vision. Experiment tracking and reproducibility tools (e.g., MLflow, Weights & Biases). Data wrangling and analysis (Pandas, NumPy, SQL); familiarity with ...

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 ...

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 ...

techniques, including LLMs, GenAI, and automated AI systems. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data science libraries (e.g., 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 ...

vulnerable groups and key issues affecting the UK (including poverty, unemployment, economic exclusion, homelessness). Self-motivated and proactive Preferred Toolset: Python (Pandas, Polars, ScikitLearn, PyTorch, XGBoost, LightGBM, NumPy, Flask, Streamlit, SHAP, Lime, PyIceberg, Matplotlib, Seaborn, Plotly) SQL, Graph stores (e.g. Neo4J) Containers (e.g. Docker) Data bases/Data Lakes ...

accuracy, drift, bias) and rollback plans. Collaborate with data engineers and AI engineers on interfaces and SLAs. Required Skills & Experience Python (pandas, NumPy, scikit-learn; PyTorch/TF a plus). Feature engineering, data quality validation, model training and optimisation. MLOps: experiment tracking (e.g., MLflow), model registry ...

related STEM field. Strong foundation in machine learning concepts, algorithms, and model development. Experience with Python and core ML libraries (e.g., NumPy, Pandas, Scikit-Learn, TensorFlow, PyTorch). Understanding of software engineering principles and version control (Git). Familiarity with cloud platforms (AWS, GCP, or Azure ...

feature effectiveness. Ability to navigate large, complex, or ambiguous datasets and translate analysis into clear, actionable insights. Experience using common ML libraries (e.g. scikit-learn, PyTorch, TensorFlow, or similar). Exposure to cloud-based data or ML platforms (AWS, GCP, Azure or similar). Strong data visualisation ...

DevOps, or MLOps with hands-on experience deploying ML products. - Python, Go, Rust, or similar programming languages - ML/DL frameworks (TensorFlow, PyTorch, scikit-learn, etc.) - DevOps practices, CI/CD, IaC, Docker, Kubernetes - Version control (Git) and collaborative development tools - Data engineering and ETL workflows - Monitoring/ ...

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 ...

research in machine learning, computational chemistry, and bioinformatics. Required Skills & Experience Proficiency in Python and the core data science ecosystem (e.g., Pandas, NumPy, Scikit-learn). Hands on experience with a modern deep learning framework, preferably PyTorch. Strong theoretical understanding of machine learning principles, including deep learning ...

PyTorch, and Azure. Do you have? Experience developing AI/ML solutions using Python? Knowledge of frameworks such as PyTorch (preferred), TensorFlow, or Scikit-learn? Experience with NLP, deep learning, or computer vision? Familiarity with MLOps tools (Azure ML Pipelines, MLflow, Docker, Kubernetes)? Experience working with cloud platforms ...

technical stakeholders. Requirements Programming Skills: Strong programming ability in Python is essential, including proficiency with data science libraries such as pandas, NumPy, scikit-learn, and visualisation tools. Experience building production-quality code and deploying models is important. Familiarity with SQL and relational databases required. Experience with Java, Kotlin ...

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 ...

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 ...

especially in Python. Experience building robust systems for ML applications Proven track record deploying machine learning models in production (using frameworks such as Scikit-learn, TensorFlow, or PyTorch) Practical experience working with cloud infrastructure (e.g., AWS, Azure, GCP) and a good understanding of architecture, security, and scaling Hands ...

deploying scalable ML systems Strong programming skills in Python and SQL, with hands-on experience in frameworks such as PyTorch, TensorFlow, or scikit-learn Ability to work with large, complex datasets and create structured pipelines for both structured and unstructured data Commercial awareness and experience aligning AI initiatives ...

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 ...

deliver models, documentation and associated productionised services. Solid knowledge and experience of AI and ML is essential Key responsibilities include; Python (pandas, NumPy, scikit-learn): For data wrangling, modelling, and feature engineering SQL: For querying structured data sources Model Development & Validation: Experience with classification, unsupervised learning (e.g. outlier ...

/AI, preferably in energy, industrial automation, or smart infrastructure. · Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn, and programming in Python, R, MATLAB, or C++. · Experience deploying ML models in production using MLOps principles. · Familiarity with cloud platforms (AWS, Azure, Google Cloud ...

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 ...

similar) Proven experience delivering AI or data science solutions end to end Advanced Python skills with libraries such as Pandas, NumPy and scikit-learn Hands-on experience with machine learning techniques (e.g. tree-based models, regression) Practical exposure to deep learning and reinforcement learning approaches Experience working with ...