1 to 25 of 33 Remote Keras Jobs

related fields. Strong background in machine learning algorithms, neural networks, natural language processing (NLP), and anomaly detection. Proficiency with Python and AI/ML libraries such as TensorFlow, PyTorch, Keras, scikit-learn, or similar. Experience with data engineering tools, cloud platforms (AWS, Azure, GCP), and container orchestration (Kubernetes, Docker). Familiarity with cybersecurity concepts and challenges, preferably within DoD or More ❯

GenAI prompting and augmentation for textual analysis, with an interest in learning more. Experience working with commonly used data science libraries and frameworks, e.g. Spacy, pandas, numpy, scikit-learn, Keras/TensorFlow, PyTorch, LangChain, Huggingface transformers etc. Familiar with both on-premises and cloud-based platforms (e.g. AWS). Working understanding of ML Ops workflows and ability to perform basic 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 ❯

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 ❯

with no experience necessary • Strong demonstrated experience in one or more of the following: - Algorithm and software development languages (e.g., Python, Java, R, Rust, C, C++ ), libraries (e.g., TensorFlow, Keras ) and platforms (e.g., MATLAB ) - Artificial Intelligence (AI) and Machine Learning (ML) techniques (e.g., reinforcement learning, graph neural networks, game theory, causal fusion, neuro-symbolic reasoning, GenAI ) - Formal methods for assurance 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 ❯

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 ❯

start Desired Skills: • Advanced degree in a STEM discipline • Proficiency in one or more of the following programming languages: Python, Java, C++, C#, or MATLAB • Experience with TensorFlow, PyTorch, Keras, or Scikit-learn • Experience with RF, SAR or EO image processing algorithms/techniques • Experience with AWS or another cloud computing platform • Excellent written and verbal communication skills • Ability to 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 ❯

programming languages such as Python, Java, or C++, with a strong emphasis on hands-on coding and development. Experience with AI frameworks and libraries (e.g., LangChain, LangGraph, TensorFlow, PyTorch, Keras) and their application in real-world projects. Strong understanding of software development methodologies, including agile practices and CI/CD pipelines. Experience with cloud platforms and services (e.g., AWS, Azure 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 ❯

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 ❯

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 ❯

Machine Learning Engineer - SaaS - London (Tech stack: Machine Learning Engineer, Python, TensorFlow, PyTorch, scikit-learn, Keras, Natural Language Processing (NLP), Hugging Face Transformers, Pandas, NumPy, Jupyter Notebooks, Matplotlib, Seaborn, Flask (for building APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform, TensorFlow Serving, ONNX (Open Neural Network Exchange) We have several exciting … experience in some or all of the following (full training will be provided to fill any gaps in your skill set): Machine Learning Engineer, Python, TensorFlow, PyTorch, scikit-learn, Keras, Natural Language Processing (NLP), Hugging Face Transformers, Pandas, NumPy, Jupyter Notebooks, Matplotlib, Seaborn, Flask (for building APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker, Azure Machine Learning, Google More ❯

role: 3+ years of hands-on Python development experience Proficiency with data analysis libraries: Pandas, NumPy, Seaborn, Matplotlib. Experience with at least two ML frameworks: scikit-learn, XG Boost, Keras, TensorFlow. Familiarity with Git-based version control systems. Ability to clearly explain and walk through complex Python code during interviews. Experience with Python packaging and dependency management tools: pip, setup.py … and the share purchase plan Paid time off for vacation, holidays, and sick time Paid parental leave Learning opportunities and tuition assistance Wellness and Well-being programs Skills: Flask Keras Pandas Python RESTful (Rest-APIs) NumPy What you can expect from us: Together, as owners, lets turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect 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 ❯

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 ❯

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 ❯

and Computer Vision, or equivalent industry experience. Strong proficiency in programming languages such as Python, C++, or similar. Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Keras, or OpenCV. Proven ability to develop and optimise deep learning models for image and video analysis. Understanding of medical imaging and video data is advantageous. Excellent problem-solving skills and More ❯

Linux and Windows environments and managing resources for efficiency. ACTIVE Top Secret with SCI and Polygraph Required Technologies: Python Ray and FastAPI Autogen and other agentic frameworks PyTorch, Tensorflow, Keras, and Scikit Experience using CUDA and NVIDIA GPU accelerated libraries Entry Level: Bachelor's degree and 1+ year of experience or Master's degree and 0 years of experience. Compensation 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 ❯

to problems in the cyber operations domain. Experience with agent-based systems and automated planning. Experience with modeling and simulation for AI development. Experience with ML frameworks (numpy, tensorflow, keras, pytorch, RayLib, etc.) Experience developing/leveraging AI gym environments. Able to obtain TS/SCI Clearance This requisition requires the candidate to have a minimum of the following clearance 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 ❯

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 ❯