20 of 20 Remote Permanent Keras Jobs

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 ❯

Location: Crawley, United Kingdom In fast changing markets, customers worldwide rely on Thales. Thales is a business where brilliant people from all over the world come together to share ideas and inspire each other. In aerospace, transportation, defence, security and 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 ❯

scale distributed systems, edge computing and cloud systems (AWS, Azure), e.g., microservices, event-streaming/messaging, container orchestration (Docker, Kubernetes), DevOps Experience building applications using deep learning frameworks like Keras, Tensorflow, PyTorch in either production or research settings Has experience with the machine learning product lifecycle as well as runtime integration and performance optimization Knowledge in Siemens Software solutions (e.g. More ❯

strong proficiency in programming languages for data science, e.g., SQL, R and Python alongside the ability to use tools and packages such as Alteryx, Jupyter notebook, R Markdown, TensorFlow, Keras, Pytorch etc. Practical expertise in producing reproducible code and pipelines including documentation, governance and assurance frameworks, automation and code review using tools such as Git. Skilled in data visualisation, with More ❯

in machine learning, computer science, engineering, or a related discipline, with a BSc required and an MSc considered advantageous. Experienced in using machine learning frameworks such as Scikit-learn, Keras, and PyTorch, with additional familiarity with MLFlow and AzureML seen as a positive. Have working knowledge of CI/CD practices, ML Ops, ML pipelines, automated testing, and platforms such More ❯

Location: Building 550 - Bristol Business Park, United Kingdom In fast changing markets, customers worldwide rely on Thales. Thales is a business where brilliant people from all over the world come together to share ideas and inspire each other. In aerospace More ❯

to life! It’s a plus if you also have: A Master’s in Data Science, ML, or a related field Credit card industry knowledge Experience with deep learning (Keras, TensorFlow) Familiarity with GitHub or Bitbucket Tableau experience or similar An interest in applying research to commercial problems Knowledge of the credit card or consumer finance sector What’s in More ❯

to life! It’s a plus if you also have: A Master’s in Data Science, ML, or a related field Credit card industry knowledge Experience with deep learning (Keras, TensorFlow) Familiarity with GitHub or Bitbucket Tableau experience or similar An interest in applying research to commercial problems Knowledge of the credit card or consumer finance sector What’s in More ❯

in a high-growth environment, while maintaining high standards of quality and attention to detail. Bonus: Existing interest in standard machine learning and deep-learning packages (e.g., scikit-learn, Keras, PyTorch). Exposure to commercial engineering tools or optimisation packages (e.g., Dassault Systèmes, Siemens, ANSYS, Aspen), open-source optimisation tools used in industry and academia. What we do We are More ❯

Responsibilities Design and develop AI and machine learning models using Python, TensorFlow, and Keras Collaborate with cross-functional teams to integrate AI models with existing systems Develop and implement natural language processing (NLP) and computer vision models Optimize AI models for performance, scalability, and reliability Stay up-to-date with emerging AI trends and technologies Skills Needed 3+ years of … experience in AI and machine learning development Strong knowledge of AI frameworks (TensorFlow, PyTorch, Keras) Experience with NLP and computer vision models Strong understanding of machine learning algorithms and statistical modeling Experience with cloud-based AI platforms (AWS SageMaker, Google Cloud AI Platform) Excellent problem-solving and communication skills Qualifications Master's degree in Computer Science, Artificial Intelligence, or related More ❯

scientists and ML Engineers Hands-on ML development Qualifications Master's degree or PhD in computer science, statistics, math, physics, or similar through experience Experience with Python (TensorFlow/Keras/sklearn/PyTorch/) Previous experience in delivering ML projects High standards, disciplined, good communicator and team player Wanting to take ownership What we offer Work in an ambitious 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 ❯

SAS, SQL, Spark, and work with tools such as Jupyter Notebooks, IDE's, Git, Microsoft Azure, Obviously, additional bonus points for PhD's, and more specific knowledge like e.g. Keras, D3.js The desire to learn and grow A positive, collaborative, and flexible mindset Fluent professional proficiency in Dutch or French is required. We offer As a certified Top Employer we More ❯

is essential as you'll be the domain expert from day one. Excellent Python programming skills and strong familiarity with ML libraries such as scikit-learn, XGBoost, TensorFlow, PyTorch, Keras etc. Proven track record deploying ML models to production (API, batch, or streaming contexts) Solid understanding of the modern software engineering, infrastructure and data technologies Experience working with LLMs, embeddings 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 ❯

with state-of-the-art performance toolkits, software stacks and profiling tools (Cuda/CuDNN/TensorRT, Jit + Jax) Proficient knowledge of Python, C/C++, PyTorch, TensorFlow, Keras Fundamental knowledge of ARM/x86 assembly Fundamental knowledge about parameter efficient fine-tuning techniques (e.g., LoRA, PEFT) Good written and verbal English communication skills Responsibilities: As a (Senior) AI … the field of AI/ML Ensure that every bit of available performance is used for the best possible user experience Technologies: AI ARM Android Cloud CUDA Embedded Hardware Keras Linux Machine Learning Mobile PyTorch Python TensorFlow C++ More: Cinemo is a global provider of highly innovative infotainment products that make every screen an opportunity. Its range of award-winning 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 ❯

ability, particularly around computational modelling for image analysis, image processing and/or machine learning (ideally CNNs for volumetric data). Increasingly, software architecture is a consideration. Python, TensorFlow, Keras, PyLattice or similar technologies would be indicative; additional languages such as C++ are also acceptable. Familiarity with computer vision, big data, geometric feature extraction, cellular imaging, timelapse imaging and tracking More ❯

ability, particularly around computational modelling for image analysis, image processing and/or machine learning (ideally CNNs for volumetric data). Increasingly, software architecture is a consideration. Python, TensorFlow, Keras, PyLattice or similar technologies would be indicative; additional languages such as C++ are also acceptable. Familiarity with computer vision, big data, geometric feature extraction, cellular imaging, timelapse imaging and tracking More ❯