22 of 22 scikit-learn Jobs in the Thames Valley

will collaborate with cross-functional teams to identify trends, patterns, and insights from large, complex datasets. Requirements Fluent Python, Pandas, Numpy, Matplotlib & Scikit-Learn 5+ consecutive years living in the UK Bachelor's or above in a STEM field (e.g., Maths, Physics, Data Science, Statistics, Computer Science) Ability ...

patterns, demand profiles, and commercial optimisation. Required Skills and Experience Technical Skills Proficiency in Python and associated data science libraries (NumPy, Pandas, SciPy, scikit‐learn, PyTorch/TensorFlow). Strong experience with time‐series modelling (ARIMA, Prophet, LSTMs or similar). Understanding of optimisation methods (linear, mixed‐integer ...

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. 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. Contributions to open-source AI projects or research ...

Data Lake, Synapse Analytics, SQL Database). Programming skills in Python, R, or similar languages. Familiarity with ML frameworks and libraries (TensorFlow, PyTorch, Scikit‐learn). Experience with Azure DevOps, GitHub, or similar tools. Experience in Computer Vision for Optical Character Recognition (OCR) and object recognition. Knowledge ...

Strong knowledge of machine learning and/or optimisation techniques (Regression, Tree methods, Clustering, Linear/Mixed-Integer Programming, Heuristics) Strong Python experience (scikit-learn, pandas, numpy, optimisation libraries) Experience building production-ready ML or optimisation solutions Solid understanding of CI/CD, Git version control, and cloud ...

closely related field Strong foundations in machine learning, algorithms, and statistics Experience with Python and common ML libraries (e.g. TensorFlow, PyTorch, scikit-learn) Understanding of software engineering fundamentals and version control (e.g. Git) Ability to communicate technical ideas clearly to both technical and non-technical stakeholders Right ...

enterprise environments Deep understanding of algorithm selection, model complexity trade-offs, and overfitting/underfitting dynamics Strong proficiency in Python and ML ecosystems (scikit-learn, pandas, NumPy) Experience with deep learning frameworks (PyTorch or TensorFlow) Practical knowledge of deep learning architectures (CNNs, RNNs, Transformers) and when to apply ...

memory management. Experience with widely used tools in data science and machine learning. Developers should be somewhat familiar with libraries like NumPy, pandas, scikit-learn, and PyTorch. Proficiency in testing approaches and frameworks like pytest as well as automation tools like Github Actions or Travis CI for maintaining ...

engineers, and DevOps, with the freedom to shape how GenAI and ML are used across the platform. Tech stack: Python PyTorch or TensorFlow scikit-learn Spark Kafka Databricks LangChain and RAG-based GenAI systems Cloud-native Azure environment Important Details: Fully remote across ...

detection logic, and communicate findings effectively to non-technical stakeholders. Essential Skills & Experience Strong Python for data processing and analytics (e.g., pandas, numpy; scikit-learn or equivalent) Structured data expertise: joins, aggregations, data cleaning, handling missing data/outliers, basic data modelling concepts Feature engineering: ability to craft ...

detection logic, and communicate findings effectively to non-technical stakeholders. Essential Skills & Experience Strong Python for data processing and analytics (e.g., pandas, numpy; scikit-learn or equivalent) Structured data expertise: joins, aggregations, data cleaning, handling missing data/outliers, basic data modelling concepts Feature engineering: ability to craft ...

detection logic, and communicate findings effectively to non-technical stakeholders. Essential Skills & Experience Strong Python for data processing and analytics (e.g., pandas, numpy; scikit-learn or equivalent) Structured data expertise: joins, aggregations, data cleaning, handling missing data/outliers, basic data modelling concepts Feature engineering: ability to craft ...

Tools & Technologies Python – Core programming for data analysis NumPy & Pandas – Data preparation and manipulation Matplotlib & Seaborn – Visualisation and exploratory analysis TensorFlow, SciPy, Scikit-learn – Machine learning fundamentals Spark – Scalable data processing Flask & Streamlit – Deploying APIs and interactive data applications Who This Program Is For Graduates or final-year ...

Tools & Technologies Python – Core programming for data analysis NumPy & Pandas – Data preparation and manipulation Matplotlib & Seaborn – Visualisation and exploratory analysis TensorFlow, SciPy, Scikit-learn – Machine learning fundamentals Spark – Scalable data processing Flask & Streamlit – Deploying APIs and interactive data applications Who This Program Is For Graduates or final-year ...

Tools & Technologies Python – Core programming for data analysis NumPy & Pandas – Data preparation and manipulation Matplotlib & Seaborn – Visualisation and exploratory analysis TensorFlow, SciPy, Scikit-learn – Machine learning fundamentals Spark – Scalable data processing Flask & Streamlit – Deploying APIs and interactive data applications Who This Program Is For Graduates or final-year ...

learning methods; Eye for quality and attention to detail; Fluency in English (written and verbal communication) is required; Proficiency in Python (e.g. pandas, scikit-learn); Good command of one additional language (e.g. Chinese, French, Italian, German, Spanish...) is valued. MINDSET Interested in weather and natural perils modelling (wildfires ...

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for ...

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for ...

problem-solving skills: Able to decompose messy, real-world problems and craft tailored solutions. Proficient in Python & data science: pandas/Polars, NumPy, scikit-learn, Jupyter, Plotly (or similar) Confident with data cleaning, analysis, transformation, and visualisation. Excellent communication: Advanced written and spoken English; concise, direct, and audience … Postgres. TypeScript fluency: Able to read TS and collaborate on data contracts with the Command team. Our environment Python, Polars/pandas, NumPy, scikit-learn, Plotly, SQL/Postgres, NVIDIA cuOpt, HERE APIs, AWS (S3, ECS/Lambda, SNS/SQS), Docker, GitHub Actions, TypeScript/Node (Command ...

Senior Machine Learning Researcher | AI Hospitality Platform | London, Hybrid | Up to £200,000+ Equity & Benefit The Company We are working with a high-growth AI scale-up that is fundamentally changing how the hospitality industry ...