25 of 25 Keras Jobs in the UK

join our growing teams. Key Responsibilities Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure ML Pipelines Experience working with ...

Azure) and modern DevOps practices (Infrastructure-as-Code). Proficiency with Git, Unix/Linux, Docker. Familiarity with ML frameworks such as TensorFlow, PyTorch, Keras, or scikit-learn (commercial experience not essential). Excellent communication skills for both internal and client-facing interactions. Awareness of MLOps is a plus. ...

Azure) and modern DevOps practices (Infrastructure-as-Code). Proficiency with Git, Unix/Linux, Docker. Familiarity with ML frameworks such as TensorFlow, PyTorch, Keras, or scikit-learn (commercial experience not essential). Excellent communication skills for both internal and client-facing interactions. Awareness of MLOps is a plus. ...

production environments. Experience in customer-facing or consulting roles is strongly preferred Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment Engineering best practices ...

supervised and unsupervised learning techniques and their applications to real-world problems. Hands-on experience with machine learning frameworks and libraries (e.g. Pytorch, TensorFlow, Keras, scikit-learn) for model development and deployment. Experience using LLMs Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and present complex ...

supervised and unsupervised learning techniques and their applications to real-world problems. Hands-on experience with machine learning frameworks and libraries (e.g. Pytorch, TensorFlow, Keras, scikit-learn) for model development and deployment. Experience using LLMs Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and present complex ...

supervised and unsupervised learning techniques and their applications to real-world problems. Hands-on experience with machine learning frameworks and libraries (e.g. Pytorch, TensorFlow, Keras, scikit-learn) for model development and deployment. Experience using LLMs Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and present complex ...

supervised and unsupervised learning techniques and their applications to real-world problems. Hands-on experience with machine learning frameworks and libraries (e.g. Pytorch, TensorFlow, Keras, scikit-learn) for model development and deployment. Experience using LLMs Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and present complex ...

supervised and unsupervised learning techniques and their applications to real-world problems. Hands-on experience with machine learning frameworks and libraries (e.g. Pytorch, TensorFlow, Keras, scikit-learn) for model development and deployment. Experience using LLMs Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and present complex ...

supervised and unsupervised learning techniques and their applications to real-world problems. Hands-on experience with machine learning frameworks and libraries (e.g. Pytorch, TensorFlow, Keras, scikit-learn) for model development and deployment. Experience using LLMs Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and present complex ...

supervised and unsupervised learning techniques and their applications to real-world problems. Hands-on experience with machine learning frameworks and libraries (e.g. Pytorch, TensorFlow, Keras, scikit-learn) for model development and deployment. Experience using LLMs Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and present complex ...

supervised and unsupervised learning techniques and their applications to real-world problems. Hands-on experience with machine learning frameworks and libraries (e.g. Pytorch, TensorFlow, Keras, scikit-learn) for model development and deployment. Experience using LLMs Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and present complex ...

supervised and unsupervised learning techniques and their applications to real-world problems. Hands-on experience with machine learning frameworks and libraries (e.g. Pytorch, TensorFlow, Keras, scikit-learn) for model development and deployment. Experience using LLMs Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and present complex ...

supervised and unsupervised learning techniques and their applications to real-world problems. Hands-on experience with machine learning frameworks and libraries (e.g. Pytorch, TensorFlow, Keras, scikit-learn) for model development and deployment. Experience using LLMs Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and present complex ...

supervised and unsupervised learning techniques and their applications to real-world problems. Hands-on experience with machine learning frameworks and libraries (e.g. Pytorch, TensorFlow, Keras, scikit-learn) for model development and deployment. Experience using LLMs Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and present complex ...

supervised and unsupervised learning techniques and their applications to real-world problems. Hands-on experience with machine learning frameworks and libraries (e.g. Pytorch, TensorFlow, Keras, scikit-learn) for model development and deployment. Experience using LLMs Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and present complex ...

supervised and unsupervised learning techniques and their applications to real-world problems. Hands-on experience with machine learning frameworks and libraries (e.g. Pytorch, TensorFlow, Keras, scikit-learn) for model development and deployment. Experience using LLMs Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and present complex ...

supervised and unsupervised learning techniques and their applications to real-world problems. Hands-on experience with machine learning frameworks and libraries (e.g. Pytorch, TensorFlow, Keras, scikit-learn) for model development and deployment. Experience using LLMs Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and present complex ...

supervised and unsupervised learning techniques and their applications to real-world problems. Hands-on experience with machine learning frameworks and libraries (e.g. Pytorch, TensorFlow, Keras, scikit-learn) for model development and deployment. Experience using LLMs Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and present complex ...

supervised and unsupervised learning techniques and their applications to real-world problems. Hands-on experience with machine learning frameworks and libraries (e.g. Pytorch, TensorFlow, Keras, scikit-learn) for model development and deployment. Experience using LLMs Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and present complex ...

Preferred Education Bachelor's Degree Required Technical And Professional Expertise Strong proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, or Keras In-depth understanding of foundation models and large language models Familiarity with cloud platforms (AWS, Azure, GCP) and related services Excellent communication, leadership, and problem ...

experience (statistics, time series forecasting, demand, traditional modelling, regression, numbers) Experience working on LLM's Demonstrable knowledge of Python AI libraries e.g., TensorFlow, PyTorch, Keras, Scikit-learn Software development experience in Python (with Django and Go) Demonstrated ability of productionising/deploying AI models Familiarity with the AWS cloud platform ...

skills in Python, including advanced image processing for 3D datasets, and ideally interpretation of biological (not medical) data from time series microscopy. Likely TensorFlow, Keras, PyLattice or similar. Ideally use of machine learning, neural networks, particularly CNNs given the data involved, feature extraction and tracking. Familiarity with computer vision, cellular ...

Forest, Gradient Boosted Trees, XGBoost Unsupervised Models: K-Means, DBSCAN, Hierarchical Clustering Deep Learning ANN, CNN, RNN, LSTM Frameworks: TensorFlow (Gradient Tape), PyTorch NN, Keras Sequential NLP & Generative AINLTK, CBoW, n-grams, Word2Vec, TF-IDF, Word Embeddings Transformers: BERT, ELMo OpenAI Models: GPT-3.5 Turbo, GPT-4o, GPT-3o Reasoning … text-embedding-ada-002 Libraries & Tools numpy, pandas, scipy, scikit-learn, tensorflow, keras, nltk, matplotlib, seaborn, plotly Programming Languages Python, R, C++, C#, Java, Node.js, HTML, SQL Agentic AI OpenAI Agents SDK, Model Context Protocol (MCP), LangChain, LangGraph, Bedrock Agents, CrewAI, Helicone Rate:400GBP/day Inside IR35 Work mode ...

addressing data science opportunities. Required Skills & Experience Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure ML Pipelines Experience working … work independently or in a team. Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure ML Pipelines Experience working with ...