1 to 25 of 97 scikit-learn Jobs in the UK excluding London

Generative AI Retrieval-Augmented Generation (RAG) LangChain/LangGraph/LlamaIndex/Semantic Kernel OpenAI/Anthropic/Amazon Bedrock/Azure OpenAI Scikit-learn TensorFlow PyTorch Pandas FastAPI/Flask REST APIs Vector Databases Docker Kubernetes Git CI/CD MLOps Data Pipelines ETL Model Deployment & Monitoring ...

agents). Strong proficiency in Python for AI/ML development, including use of common ML and data libraries (e.g. TensorFlow/PyTorch, scikit-learn, pandas, NumPy). Proven experience integrating AI services with enterprise systems via APIs and event-driven architectures. Practical experience with LLMs, prompt engineering ...

writing clean, efficient, and maintainable code to enable scalable and production-grade AI/ML solutions. Extensive experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch), with the ability to design, implement, and optimise scalable solutions while guiding teams in the effective use of these tools. Extensive ...

following: Commercial experience developing AI or Machine Learning solutions Strong Python development skills Experience with Machine Learning frameworks such as TensorFlow, PyTorch or Scikit-learn Experience with Generative AI technologies including LLMs, LangChain or LlamaIndex Hands-on experience building RAG solutions and working with vector databases Experience with ...

experience in a machine learning, AI engineering, or applied data science role Strong Python skills, with experience in ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) Experience deploying models to production (cloud platforms such as Azure, AWS, or GCP) Understanding of MLOps practices - CI/CD for ML, model ...

Experience Experience building and deploying AI or Machine Learning solutions in a commercial environment Strong Python and SQL skills Experience using TensorFlow, PyTorch, Scikit-learn or similar frameworks Strong understanding of machine learning algorithms, deep learning architectures and model deployment practices Experience with Azure, AWS or GCP cloud ...

maintainable code for developing and deploying reliable AI/ML solutions in production environments. Hands-on experience using machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) to design and implement solutions. Experience deploying AI/ML models to production systems in collaboration with engineering teams. Experience working with ...

writing clean, efficient code for AI/ML solutions. Hands-on experience, through study, internships, or personal projects, with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch). Exposure to supporting the deployment of AI/ML models, working alongside engineering colleagues. Some exposure to generative AI concepts ...

edge AI innovation. Wearepleasedtoofferthispermanentopportunityasafulltimerolebasedhybridfromoneofour4officelocations(Fareham,London,WokingorSouthCerney)–3daysinoffice,2workingfromhome. Requirements Strong Python and SQL skills, with experience using libraries such as pandas, NumPy, scikit-learn and relevant statistical or machine learning packages Hands-on experience with machine learning frameworks and approaches, including supervised learning, unsupervised learning, feature engineering ...

edge AI innovation. Wearepleasedtoofferthispermanentopportunityasafulltimerolebasedhybridfromoneofour4officelocations(Fareham,London,WokingorSouthCerney)–3daysinoffice,2workingfromhome. Requirements Strong Python and SQL skills, with experience using libraries such as pandas, NumPy, scikit-learn and relevant statistical or machine learning packages Hands-on experience with machine learning frameworks and approaches, including supervised learning, unsupervised learning, feature engineering ...

use. Essential Skills: Commercial experience in an AI/ML engineering role. Strong Python skills. Experience with ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn). Experience working with or integrating LLMs/generative AI (e.g. OpenAI, Anthropic APIs). SQL and experience working with large datasets. Understanding ...

Machine Learning Engineer Strong experience developing and deploying Machine Learning models using Python Experience with frameworks such as PyTorch, TensorFlow, Scikit-learn or XGBoost Knowledge of AWS cloud services including SageMaker, Lambda and S3 Experience with MLOps tools such as MLflow, Weights & Biases or Data Version Control Experience ...

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 ...

machine learning or statistical techniques to real-world problems Desirable Experience of using programming languages (e.g. Python, R) and associated ML frameworks, e.g. scikit-learn, TensorFlow, PyTorch Understanding of data structures, algorithms, and software design principles If you're excited about this role but don’t meet every ...

Data Science, Mathematics, Computer Science, or a related field. Strong programming skills in Python or R, with experience using frameworks such as Scikit-learn, PyTorch, or TensorFlow. Experience with cloud platforms or distributed computing (GCP preferred, but AWS or Azure also welcome). Exposure to neural networks ...

NEED Essential 3+ years of commercial experience in data science or applied ML Strong Python skills and proficiency with ML frameworks (scikit-learn, PyTorch, TensorFlow or similar) Hands-on experience with LLMs and generative AI tooling (OpenAI, Anthropic, LangChain, LlamaIndex or similar) Solid grounding in statistics, model evaluation ...

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 ...

Data Engineering, or Software Engineering roles Strong production Python experience Hands‐on experience training and serving ML models Familiarity with PyTorch, TensorFlow, or scikit‐learn Strong working knowledge of Docker, Linux, Git, and cloud platforms (AWS, Azure, or similar) Experience deploying systems you’ve helped design Excellent communication ...

model prototyping to production deployment, integration, and ongoing monitoring. You are proficient in Python and its data/ML ecosystem (e.g. pandas, scikit-learn, PyTorch, TensorFlow), and you can apply statistical and machine learning techniques confidently in real-world settings. You have deployed models into live systems ...

data and implementing data science processes. Experience in translating customer requirements intotechnical requirements and development objectives. Pythonexpertisecovering standard data sciencelibraries (NumPy, pandas, matplotlib, Scikit-learn,PyTorch, etc),web frameworks (Flask or FastAPI) and visualisation(Dash,Plotly,&Streamlit). Proficient inSQL. Working with unstructured data Building customer and stakeholder ...

validation Writing maintainable and reusable code Hands-on experience developing, tuning, and deploying machine learning models using frameworks and libraries such as: Scikit-learn XGBoost TensorFlow PyTorch Equivalent machine learning frameworks Strong analytical and problem-solving capabilities with a scientific and data-driven mindset. Ability to translate complex ...

stack High quality production code in Python . Libraries such as NetworkX , TensorFlow or PyTorch , NLTK, spaCy, Hugging Face, BERT , Pandas, NumPy, scikit learn . Graph based ML familiarity: link prediction, anomaly detection, traversal, community detection. NLP/NLU skills: entity/relation recognition, summarisation, topic modelling, classification ...

direction and mentor other engineers Your Skills & Experience Strong commercial experience across machine learning and generative AI Hands-on expertise with Python, PyTorch, Scikit-learn, and Hugging Face Experience building production AI systems and MLOps pipelines Practical use of AI coding assistants and agentic engineering workflows Ability ...

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 Join a team responsible for investigating the latest research in machine learning algorithms – largely within ...