1 to 25 of 74 scikit-learn Jobs in the UK excluding London

products. Key Skills & Experience: Experience in machine learning, data science, or applied AI roles. Proficiency in Python and ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Strong understanding of statistics, ML algorithms, and model evaluation techniques. Experience working with cloud platforms (AWS, Azure ...

demonstrations, bids, proofs of concept and customer workshops.QualificationsRequired SkillsStrong Python development skills with experience using AI/ML frameworks such as PyTorch, TensorFlow, Scikit-Learn and Hugging Face.Proven experience developing and deploying machine learning solutions, including deep learning, computer vision, NLP/LLMs or time-series analytics.Experience working ...

/LLMs, multimodal AI, self-supervised learning, reinforcement learning, time-series analytics or foundation models. Experience with AI frameworks and libraries: PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers; OpenCV for vision applications. Strong understanding of experimental design, statistical evaluation, benchmarking and model validation. Experiment tracking and reproducibility tools ...

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 ...

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 ...

will have experience in many of the following: Hands-on experience developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow Strong experience with AWS ML services (SageMaker, Lambda, S3) in production environments Strong experiment design skills: hypothesis formulation, A/ ...

/AI technical initiatives across multiple teams \n Strong experience with cloud platforms (AWS, Azure, GCP) \n Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) \n Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality ...

visualization, or data mining, with demonstrated work across structured and unstructured sourcesExperience in Python and SQL or R, and with Pandas or NumPy, scikit-learn, and model evaluation or tuningExperience building ETL pipelines and querying APIs using tools such as Airflow or dbt, and Git-based version controlExperiencedeveloping ...

/AI technical initiatives across multiple teams \n Strong experience with cloud platforms (AWS, Azure, GCP) \n Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) \n Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality ...

/AI technical initiatives across multiple teams \n Strong experience with cloud platforms (AWS, Azure, GCP) \n Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) \n Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality ...

inference, and the ability to apply these in a client-facing measurement context.Proficiency in Python with extensive experience in data science libraries (e.g. scikit-learn, pandas, NumPy, SciPy)Strong SQL skills and experience with data warehousing solutions (Snowflake, BigQuery, Redshift)Understanding of MLOps concepts and hands-on experience ...

continuous improvement.Essential Skills and Experience:Python programming skills for AI/ML development.Experience with at least one major ML framework (e.g. PyTorch, TensorFlow, scikit-learn).Experience building and maintaining end-to-end ML pipelines (data ingestion, pre-processing, training, evaluation, deployment) and deployment to production environments.Understanding of feature ...

modern data science and machine learning techniques, including supervised and unsupervised learning. Proficiency in the Python data science ecosystem (e.g. NumPy, Pandas, scikit-learn, PyTorch, TensorFlow). Experience with big data and distributed analytics platforms (e.g. Spark, Hadoop). Hands-on experience with Natural Language Processing, graph analytics ...

MLOps. What You Bring·Proven experience building and iterating on ML models in a commercial setting. ·Expert-level Python skills (pandas, NumPy, scikit-learn, etc.) and strong statistical grounding. ·Experience working within cloud or modern data environments (Microsoft Fabric, Azure, or Databricks). ·Clear, impactful communication skills ...

science processes. Experience in translating customer requirements into technical requirements and development objectives. Python expertise covering standard data science libraries (NumPy, pandas, matplotlib, Scikit-learn, PyTorch, etc...), web frameworks (Flask or FastAPI) and visualisation (Dash, Plotly, & Streamlit). Proficient in SQL. Working with unstructured data Building customer ...

science processes. Experience in translating customer requirements into technical requirements and development objectives. Python expertise covering standard data science libraries (NumPy, pandas, matplotlib, Scikit-learn, PyTorch, etc ), web frameworks (Flask or FastAPI) and visualisation (Dash, Plotly, & Streamlit). Proficient in SQL. Working with unstructured data Building customer ...

logical, curious approach to solving problems Willingness to learn quickly and take feedback Desirable experience: Familiarity with libraries such as pandas, NumPy, scikit-learn, PyTorch or TensorFlow Experience calling a large language model through an API, or building a simple prompt-based tool Exposure to cloud platforms ...

Desirable Experience Machine Learning model development and training. LLMs, transformers, RAG and Agentic AI. LangChain, LangGraph or similar AI orchestration frameworks. PyTorch, TensorFlow, Scikit-learn or Hugging Face. Vector databases, embeddings and model evaluation. NLP, Computer Vision or multimodal AI. Edge AI, AI safety, security or explainability. Experience ...

being effective in the role are:Technical Proficiency: Strong proficiency in Python for data analysis, machine learning and statistical modelling (e.g. pandas, NumPy, scikit-learn), alongside familiarity with cloud-based data platforms, preferably Google Cloud.Analytical Modelling: Proven experience developing analytical, statistical or machine learning solutions within complex operational ...

deployment. Key Skills Strong Python and SQL skills. Experience building and deploying ML models in production. Hands-on knowledge of machine learning frameworks (Scikit-learn, TensorFlow, PyTorch). Data engineering and pipeline development experience. Cloud experience (AWS, Azure, or GCP). Strong understanding of software engineering best practices. ...

least two of the following: Python, R, or Julia. Hands-on experience using data science and machine learning libraries such as Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch, Keras, or equivalent. Experience working with Next Generation Sequencing (NGS), OMICS datasets, or other large-scale biological data. Knowledge of variant ...

system design, integration, data, CI/CD, observability, security, and cloud‐native practices.Strong Python skills and experience with frameworks such as PyTorch, TensorFlow, scikit-learn, LangChain, LangGraph, or similar.Experience with LLM and agentic patterns, including retrieval, orchestration, tool use, evaluation, guardrails, and governed production deployment.Solid understanding ...

such as statistical modelling, supervised and unsupervised learning, deep learning, transformers, Generative AI or Agentic AI. Experience across areas such as PyTorch, TensorFlow, scikit-learn, Hugging Face, cloud platforms, MLOps, computer vision, NLP, geospatial data or multimodal AI would also be of interest, although candidates are not expected ...

causal inference Experience designing and evaluating marketing experiments and lift studies Advanced SQL skills and hands-on Python experience, ideally including pandas, scikit-learn, statsmodels, or similar libraries Familiarity with modern data platforms such as Snowflake, dbt, and cloud-based analytics environments Understanding of digital advertising platforms, attribution ...

Ability to manage multiple priorities across a portfolio of projects Experience engaging both technical and business stakeholders Experience with libraries such as SciPy, Scikit-learn, PyTorch, Keras Experience working with cloud platforms and modern data stacks (e.g. Databricks, Azure) Knowledge of building and deploying large-scale machine learning ...