26 to 50 of 71 Permanent scikit-learn Jobs

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 ...

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 ...

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 ...

intelligent automation solutions. AI/ML Engineering: Practical experience building and deploying AI/ML models using frameworks such as Python, TensorFlow, PyTorch, scikit-learn, or Azure AI services. Software Engineering: Strong programming skills in Python, C#, .NET, PowerShell, or similar languages, with experience building REST APIs, microservices ...

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 ...

insights within structured and unstructured data.Strong knowledge of hands-on practice in Python.Familiarity with popular machine learning libraries and frameworks such as scikit-learn, Hugging Face, PyTorch and TensorFlow.Experience with MLFlow, AWS SageMaker and Bedrock is preferred.Familiar with MLOps concept, SQL and PySparkExperience with feature stores, machine learning ...

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 ...

experience in the following areas: Experience using Python and machine learning libraries/frameworks including at least one of the following: Pandas, NumPy, Scikit-learn, PyTorch or TensorFlow; experience with machine learning model development, feature engineering, and data analysis; experience with cloud infrastructure and deployment; Experience with Agile ...

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 ...

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 ...

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 ...

define what 'good' means for a model, build the test set and measure it. Strong grounding in the ML stack, such as PyTorch, scikit-learn, Hugging Face and vector databases, alongside sound software engineering practice. Experience deploying and monitoring models on cloud infrastructure, ideally AWS, with ...

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 ...

natural language processing, computer vision, and recommendation engines. Key Responsibilities Design, train, and optimize machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn Process and analyze large datasets to extract insights and build training pipelines Deploy ML models to production environments and monitor performance Research emerging ...

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 ...

used, why you chose them and what alternatives you considered. Python: Strong proficiency in Python and its data/ML ecosystem (pandas, NumPy, scikit-learn), writing maintainable, production-quality code. AWS: Hands-on experience building, training and deploying ML models on the AWS stack, ideally with experience ...

experience of techniques such as linear regression, logistic regression, boosting, kNN)PythonExperience of one or more common frameworks (e.g. Caffe, Theano, Torch, Tensorflow, scikit-learn)The environment is that of Facebook or Google, relaxed open with time to think and make the right decisions. The atmosphere is calm ...

linear regression, logistic regression, boosting, kNN)Ideally Python or another languageExperience of one or more common frameworks (e.g. Caffe, Theano, Torch, Tensorflow, scikit-learn)The environment is that of Facebook or Google, relaxed open with time to think and make the right decisions. The atmosphere is calm ...

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 ...

written communicationShare ideas with the wider team, learn from and contribute to the body of knowledgeKey SkillsExperience using Python (pandas, numpy, scikit-learn) and SQLTheoretical understanding of core ML techniques and statistical principlesStrong numerical and analytical skills, comfortable working with large datasetsConfident communicator and contributes effectively within ...

/LangChain/LangGraph/AI Agents/Enterprise Search/Neural Networks/Model Deployment/Edge AI/TensorFlow/scikit-learn/Linux/Git/Machine Learning/Artificial Intelligence/Computer Science/Mathematics/Statistics RedTech Recruitment Ltd focus on finding roles ...