10 of 10 Keras Jobs in England

Machine learning algorithms: linear regression, logistic regression, decision trees, random forests, support vector machines, neural networks Data science tools: NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras Cloud computing platforms: AWS, Azure, GCP Natural language processing: transformer models, attention mechanisms, word embeddings Computer vision: convolutional neural networks, recurrent neural networks, object detection ...

solid understanding of MLOps, Git and CI/CD practices. Strong Python programming skills, including experience with Pandas, Scikit-learn and either PyTorch or Keras/TensorFlow. Proven experience developing time-series forecasting models, ideally within energy, commodities, financial markets or another data-intensive environment. Knowledge of SQL is essential ...

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. You should be aware of the broad landscape of machine learning applications, tools, and technologies ...

related field. Desirable: Exposure to machine learning frameworks such as PyTorch, JAX, Triton, TensorFlow Experience with distributed workload management systems such as Kubernetes, VLLM, Keras or MLOps pipelines Experience working with hardware simulators or emulators (e.g. QEMU). Experience developing for or working with FPGA-based systems. Experience with people ...

skills Research publications in prominent AI/ML, Software Engineering venues (e.g., conferences, journals) Practical experience with ML platforms such as TensorFlow/Keras, PyTorch Comfort with rapid prototyping and disciplined software development processes Practical software engineering experience in collaborative project settings #J-18808-Ljbffr ...

auto-labeling data. What You Need +5 years of professional software engineering experience with proficiency in Python. Comfortable with frameworks such as PyTorch, TensorFlow, Keras, or JAX. Strong experience with computer vision and multimodal LLMs. Trained neural networks that moved into production. Nice To Have Industry experience with efficient inference ...

extract features and build predictive models Collaborate with data engineers and scientists to streamline data pipelines Develop deep learning architectures using TensorFlow, PyTorch, or Keras Integrate ML models into production environments with APIs and scalable systems Research the latest AI trends and propose innovative solutions Tune hyperparameters to optimize model ...

government security clearance. Experience building with generative AI, large language models, and AI agents. Familiarity with modern machine learning tools, for instance TensorFlow, Keras, PyTorch or SKLearn. Familiarity with the principles and tools of MLOps. Experience building or contributing to open source projects. Benefits By joining a growing company ...

We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a ...

AI/ML Engineer (PhD graduate) As an AI/ML Engineer, you'll work on a diverse range of advanced research programmes where no two projects are the same. You'll investigate emerging machine ...