1 to 25 of 28 Keras Jobs in England

and techniques, such as supervised. and unsupervised learning, transformer models, deep learning, computer vision, natural language processing, etc. Experience with common ML libraries and frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn. Ability to work independently and collaboratively with multi-functional teams with excellent communication and presentation skills. Experience in writing unit tests and documentation for ML code. Familiarity with More ❯

Previous experience developing underwriting or behavioural models for credit extension Desired: Master's degree in data science/Machine Learning or related discipline Knowledge of Deep Learning frameworks, ideally Keras/Tensorflow Familiarity with software version control (GitHub, bitbucket) Knowledge of Tableau Ability to comprehend research papers and possibly apply their solutions Credit card industry knowledge What's in it More ❯

Previous experience developing underwriting or behavioural models for credit extension Desired: Master's degree in Data Science/Machine Learning or related discipline Knowledge of Deep Learning frameworks, ideally Keras/Tensorflow Familiarity with software version control (GitHub, bitbucket) Knowledge of Tableau Ability to comprehend research papers and possibly apply their solutions Credit card industry knowledge What's in it More ❯

and familiarity with cloud platforms like Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure. Technical Skills Good to have: Expertise in any one framework (TensorFlow, Pytorch, Keras) Experience in a statistical programming language (e.g. R or Python) and applied machine learning and AI techniques (i.e computer vision, deep learning, conversational AI, and natural language processing frameworks.) Experience More ❯

modelling techniques and how to fine-tune those models eg. XGBoost, Deep Neural Networks, Transformers, ResNets, VAEs, GANs, Markov chains, etc. Experience using specialized machine learning libraries eg. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. Experience of using More ❯

software tooling: Git, Unix/Linux, Docker. Plus, a strong opinion on your IDE/editor of choice is welcome Familiarity with modern machine learning tools, for instance TensorFlow, Keras, PyTorch or SKLearn. Commercial experience with these is not essential. Excellent communication skills; both in customer-facing and internal team communication. Knowledge of MLOps is not essential, but some awareness More ❯

software tooling: Git, Unix/Linux, Docker. Plus, a strong opinion on your IDE/editor of choice is welcome Familiarity with modern machine learning tools, for instance TensorFlow, Keras, PyTorch or SKLearn. Commercial experience with these is not essential. Excellent communication skills; both in customer-facing and internal team communication. Knowledge of MLOps is not essential, but some awareness More ❯

s3) - Experience with software development life cycle (sdlc) and agile/iterative methodologies - Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and More ❯

skills; ideas need to land Bachelor's degree in computer science, Mathematics, Statistics, or related field Bonus points for Credit card or consumer finance experience Exposure to deep learning (Keras, TensorFlow) Git, Tableau, Bitbucket Master's in Data Science or similar What's on offer Up to £75k depending on experience Bonus scheme + private medical 2530 days holiday + More ❯

You know how to make ideas land Degree in Computer Science, Maths, Stats, or similar Bonus Points For Experience in credit cards or consumer lending Exposure to deep learning (Keras, TensorFlow) Familiar with Git, Tableau, Bitbucket Master’s in Data Science or related field What’s on Offer Up to £75k depending on experience Bonus scheme + private medical More ❯

You know how to make ideas land Degree in Computer Science, Maths, Stats, or similar Bonus Points For Experience in credit cards or consumer lending Exposure to deep learning (Keras, TensorFlow) Familiar with Git, Tableau, Bitbucket Master’s in Data Science or related field What’s on Offer Up to £75k depending on experience Bonus scheme + private medical More ❯

roles. Strong expertise in Machine Learning and Deep Learning, with exposure to Reinforcement Learning as a plus. Proficiency in Python and modern ML libraries (e.g., TensorFlow, PyTorch, JAX, or Keras). Experience with version control systems (GitHub, GitLab) and knowledge of clean, maintainable coding practices. Familiarity with CI/CD pipelines for automating ML workflows. Ability to thrive in a More ❯

VBA/Python tools to expediate the change management review process. Skills Knowledge and Experience Technical Skills: Proficiency in Python, including ML libraries such as TensorFlow, PyTorch, Scikit-learn, Keras, etc. Expert Level in programming such as VBA, Python, JAVA and other coding tools. Familiarity with data processing, feature engineering, and model evaluation techniques. Soft Skills: Strong analytical and creative More ❯

foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series forecasting). Practical experience with Keras or PyTorch is required. Full-Stack Deployment: Demonstrable experience taking models to production, including building and deploying APIs with FastAPI and using Vertex AI for ML workflows. Visualization & Communication: Ability More ❯

managing applied research teams. Requirements for the role include: Passion for solving ML problems Strong experience in Python and machine learning libraries such as OpenCV, PyTorch, TensorFlow, Fast.ai , and Keras Strong experience in mathematical programming, algorithmic problem solving, and applied machine learning What We Offer Competitive salary, commission, and equity in a hyper growth business. Strong in-person culture: most More ❯

managing applied research teams. Requirements for the role include: Passion for solving ML problems Strong experience in Python and machine learning libraries such as OpenCV, PyTorch, TensorFlow, Fast.ai , and Keras Strong experience in mathematical programming, algorithmic problem solving, and applied machine learning What We Offer Competitive salary, commission and equity in a hyper growth business. Strong in-person culture: most More ❯

optimizations. Essential Proven experience as a Machine Learning Engineer with at least 3 years of professional experience. Strong proficiency in machine learning frameworks such as CatBoost , TensorFlow , PyTorch , or Keras . Experience with image processing , feature extraction , and text preprocessing techniques . Solid understanding of algorithms for tasks such as object detection , image classification , text extraction , and sentiment analysis . More ❯

propose optimizations. Proven experience as a Machine Learning Engineer with at least 3 years of professional experience. Strong proficiency in machine learning frameworks such as CatBoost , TensorFlow , PyTorch , or Keras . Experience with image processing , feature extraction , and text preprocessing techniques . Solid understanding of algorithms for tasks such as object detection , image classification , text extraction , and sentiment analysis . More ❯

pain for extreme long-term pain. Embrace an extreme learning rate rather than assuming limits to your ability/knowledge. Responsibilities: Lower deep learning graphsfrom common frameworks (PyTorch, TensorFlow, Keras, etc.) down to an IR representation for trainingwith particular focus on ensuring reproducibility. Write novel algorithms for transforming intermediate representations of compute graphs between different operator representations. Ownership of two More ❯

for extreme long-term pain. Embrace an extreme learning rate rather than assuming limits to your ability/knowledge. Responsibilities: Lower deep learning graphs-from common frameworks (PyTorch, TensorFlow, Keras, etc.) down to an IR representation for training-with particular focus on ensuring reproducibility. Write novel algorithms for transforming intermediate representations of compute graphs between different operator representations. Ownership of More ❯

use of Convolution Neural Networks (CNN s) for machine vision and image analysis applications Experience with large-scale data sets Experience with open source machine learning platforms such as Keras/tensorflow or PyTorch Ability to develop using rapid prototyping techniques aimed at demonstrating applications quickly in a fast moving environment. Agile/DevOps Familiarity f SCRUM Familiarity f DevOps More ❯

use of Convolution Neural Networks (CNN's) for machine vision and image analysis applications Experience with large-scale data sets Experience with open source machine learning platforms such as Keras/tensorflow or PyTorch Ability to develop using rapid prototyping techniques aimed at demonstrating applications quickly in a fast moving environment. Agile/DevOps Familiarity f SCRUM Familiarity f DevOps More ❯

use of Convolution Neural Networks (CNN’s) for machine vision and image analysis applications Experience with large-scale data sets Experience with open source machine learning platforms such as Keras/tensorflow or PyTorch Ability to develop using rapid prototyping techniques aimed at demonstrating applications quickly in a fast moving environment. Agile/DevOps Familiarity f SCRUM Familiarity f DevOps More ❯

software engineering and algorithm development 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 imaging, volumetric tiling, voxel imaging More ❯

software engineering and algorithm development 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 imaging, volumetric tiling, voxel imaging More ❯