1 to 25 of 93 Permanent scikit-learn Jobs in the UK

including model selection, feature engineering, validation, tuning, and performance interpretation. Strong proficiency in Python and common ML/data science libraries such as scikit-learn, pandas, NumPy, XGBoost, LightGBM, PyTorch, TensorFlow, or equivalent frameworks. Experience building end-to-end ML pipelines across data preparation, feature engineering, model training ...

strategy and innovation initiatives Required Skills Strong commercial experience in Data Science/Machine Learning Advanced Python skills with ML frameworks such as Scikit-learn, TensorFlow, or PyTorch Experience with LLMs, Generative AI, RAG, or Agentic AI solutions Strong SQL and data manipulation experience Experience working with cloud ...

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

C#/.NET. Experience building and deploying production ML systems and APIs. Hands-on knowledge of ML frameworks such as TensorFlow, PyTorch, scikit-learn, or similar. Experience with cloud platforms and modern data infrastructure (AWS preferred). Familiarity with Docker, CI/CD pipelines, and scalable deployment practices. ...

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

clearly to technical and non-technical audiences. YOUR BACKGROUND Experience with cloud platforms (Azure, AWS, Snowflake). Expertise in ML frameworks and libraries (scikit-learn, XGBoost, PyTorch, TensorFlow). In-depth knowledge of GenAI concepts (LLMs, prompt engineering, RAG, embeddings, vector databases). Full project lifecycle expertise: experimentation ...

GenAI: Experience with LLM APIs and Context Engineering (constructing prompts, managing context windows, evaluating behaviour). Engineering & Stack: Python: Expert level (Pandas, NumPy, Scikit-Learn). Data Engineering: Strong SQL skills and experience building data pipelines. Experience: Education: Degree in a quantitative field (Statistics, Mathematics, Computer Science, etc. ...

data science What you'll bring: * Solid experience in data science or advanced analytics roles * Strong Python skills (pandas, NumPy, scikit-learn) * Experience building predictive models (forecasting, clustering, regression) * Hands-on experience with LLMs, NLP, or generative AI techniques * Strong SQL skills and experience working with large datasets ...

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

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

systems LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar frameworks RAG pipelines and vector databases AI agents and multi-agent orchestration Python, PyTorch, TensorFlow, Scikit-learn Cloud AI platforms such as AWS, Azure, or GCP Production deployment, MLOps, and scalable AI infrastructure API integration and workflow automation Bonus Points ...

ilə əməkdaşlıq Tələblər Kompüter elmləri, Data Science və ya əlaqəli sahədə ali təhsil Python, R və ya digər proqramlaşdırma dillərində təcrübə TensorFlow, PyTorch, Scikit-learn kimi kitabxanalarla işləmə bacarığı Data strukturları və alqoritmlər üzrə bilik SQL və ya NoSQL verilənlər bazası biliyi Git və versiya idarəetmə sistemləri ilə ...

similar) Experience building and maintaining data pipelines Working with structured and unstructured data Desirable Experience with machine learning frameworks (e.g. TensorFlow, PyTorch, scikit-learn) Exposure to Generative AI tools/frameworks (e.g. LLMs, LangChain) Experience with cloud platforms (Azure, AWS, or GCP) Familiarity with data platforms, data warehouses ...

production and supporting them post-deployment.Strong Python programming skills, including object-oriented design and proficiency with key ML libraries (e.g., PyTorch, TensorFlow, Scikit-Learn).Solid understanding of probability and statistical modeling to support robust model development and interpretation.Experience with cloud platforms (especially Azure and/ ...

Strong commercial experience developing machine learning solutions in Python Solid understanding of the Python ML ecosystem including libraries such as NumPy, pandas, and scikit learn, with exposure to PyTorch or TensorFlow Experience building and deploying containerised services and APIs Working knowledge of SQL and data driven application development ...

modeling approaches for each. Strong proficiency in Python and SQL, with hands‐on experience using major ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit‐learn) for model development and evaluation. Deep understanding of machine learning algorithms, model evaluation techniques (e.g., AUC, lift, calibration, stability), and data pipeline development ...

years' experience in a Data Science or advanced analytics role Strong Python skills, including libraries such as pandas, NumPy, SciPy, and scikit-learn Experience with gradient boosting frameworks (e.g. LightGBM or similar) Solid grounding in statistics and machine learning concepts Comfortable working with structured data and SQL Ability ...

Personable, enthusiastic, and naturally able to teach diverse stakeholders about AI topics. Comfort with Python and familiarity with common AI/ML libraries (scikit-learn, PyTorch, HuggingFace, OpenAI API). Bonus Points Experience with data engineering tools (SQL, pandas, dbt, Airflow). Exposure to LLMs or generative ...

Client Is Looking For: • Significant hands-on experience building and deploying machine learning models into production environments.• Strong Python expertise (e.g., pandas, scikit-learn, ML frameworks) with production-quality coding standards.• Advanced SQL skills and deep understanding of relational data.• Strong statistical foundations and model validation expertise.• Experience ...

star schemas and Kimball methodologies Experience supporting advanced Power BI models (DAX and Power Query) Exposure to ML/AI concepts (e.g. scikit-learn, TensorFlow) or an interest in preparing data for LLMs, RAG architectures or predictive models Experience with Docker and/or Terraform (desirable) What ...

REST & GraphQL APIs Cloud & Infra: AWS (ECS, S3, Lambda), Docker, Cloudformation, Pulumi, CI/CD with GitHub Actions ML/AI: PyTorch, TensorFlow, scikit‐learn, MLflow for experiment tracking, Zenml for ML pipelines Data: PostgreSQL, DynamoDB, data pipelines with Zenml (We’re open to evolving the stack ...

National Security team. In order to be successful, you will have the following experience: Experienced in the Python data stack (PySpark, numpy, pandas, scikit-learn, etc.) Experienced within AWS-based infrastructure and services Excellent communication skills, able to work with customers to shape requirements Able and willing ...

Scientist with production ML exposure Strong understanding of ML algorithms, model development, and deployment Experience with Python and ML frameworks (e.g. TensorFlow, PyTorch, scikit-learn) Familiarity with data pipelines and cloud or on-prem environments Understanding of MLOps principles Ability to work in secure or regulated environments Eligibility ...

Computer Science, Statistics, Mathematics, or related quantitative fields preferred. Strong proficiency in Python (preferred) or Scala, including experience with ML libraries such as scikit‐learn, XGBoost, TensorFlow or PyTorch. Extensive experience with Spark or PySpark and distributed data systems (e.g., AWS EMR, Databricks) working on very large, messy ...

measurable impact Experience taking models into production and managing performance over time Prior experience leading or mentoring Data Scientists Strong Python (pandas, numpy, scikit-learn or similar) Strong SQL (complex joins, aggregations, analytical functions) Solid grounding in applied statistics, evaluation design, calibration, bias/fairness Experience working closely ...