1 to 25 of 27 Keras Jobs

as machine learning techniques, algorithms, statistics, visualisation etc. Experience with common data science toolkits and core skills in one of Python, NumPy, MatLab, Tensorflow, keras, etc. Knowledge of distributed storage, processing frameworks and visualisation tools. Working alongside customers within cloud environments to define and deliver requirements either as a prototype more »

and LLM's is advantageous. Solid understanding of statistical analysis, hypothesis testing, and experimental design. Expertise in machine learning algorithms and frameworks (e.g., TensorFlow, Keras, PyTorch). Strong problem-solving skills and the ability to translate business challenges into data science solutions. Familiarity with version control systems (e.g., Git) and more »

experience working as an Machine Learning Engineer/AI Engineer Strong foundation in Python Excellent knowledge of ML libraries and frameworks like TensorFlow, PyTorch, Keras and scikit-learn. Experience with neural network architectures, deep learning techniques, and building and training deep learning models. Creating and handling large datasets including pre more »

monitoring and maintenance of models in production desired Expertise in using and implementing cutting-edge machine learning algorithms, frameworks, and libraries, such as PyTorch, Keras, Tensorflow to solve clustering, classification, regression, and optimization problems on large scale data sets Hands-on experience with modern NLP methods required. Specifically: Transformers models more »

OpenAI, Azure Synapse Analytics, etc., is a plus. of Knowledge Graphs and LLM’s is advantageous. in machine learning algorithms and frameworks (e.g., TensorFlow, Keras, PyTorch). with version control systems (e.g., Git) and CI/CD practices. ability to lead and mentor data science teams, driving collaboration and knowledge more »

of highly skilled professionals. Requirements : Proficiency in Python, including libraries such as numpy, pandas, and scikit-learn Experience with deep learning frameworks (PyTorch, JAX, Keras, Tensorflow) Strong theoretical understanding of machine learning and neural networks Experience with containerized processes (Docker, Kubernetes) Familiarity with cloud services and distributed computing frameworks (AWS more »

SREs in architecting and managing the cloud infrastructure, using Terraform > Mentoring less experienced engineers Senior ML Learning Engineer the environment: > Python - advanced features, NumPy, keras, pandas, NLTK, scikit, SpaCy > Machine Learning NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow more »

projects, this exciting new role will see you specifying, designing, developing and testing in Python. ML Learning Engineer – the environment: Python - advanced features, NumPy, keras, pandas, NLTK, scikit, SpaCy Machine Learning – NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow more »

projects, this exciting new role will see you specifying, designing, developing and testing in Python. ML Learning Engineer the environment: Python - advanced features, NumPy, keras, pandas, NLTK, scikit, SpaCy Machine Learning NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow more »

projects, this exciting new role will see you specifying, designing, developing and testing in Python. ML Learning Engineer – the environment: Python - advanced features, NumPy, keras, pandas, NLTK, scikit, SpaCy Machine Learning – NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow more »

experience in natural language processing (NLP) and its applications. Solid coding level in Python programming language, with experience in leveraging available libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others, to dedicated projects. Previous experience in working on Spark, Hive, and SQL, Preferred qualifications, capabilities, and skills Financial service background more »

Junior Data scientists Proficiency in data forecasting, analysis, prediction, and deriving trading signals from datasets. Extensive hands-on experience with TensorFlow (and/or Keras), scikit-learn, and related tools, coupled with a strong command of Python. Robust analytical and mathematical abilities essential for model development and validation. Exceptional problem more »

you wish. You’ll need: MSc OR PHD in a STEM subject – ideally from a top UK university Experience with Python/TensorFlow/Keras Solid knowledge & understanding of Machine Learning/Data Science Strong Time-Series Forecasting Experience ·Research experience is a bonus! On offer is a salary up more »

you wish. You’ll need: MSc OR PhD in a STEM subject – ideally from a top UK university Experience with Python/TensorFlow/Keras Experience with Dynamic pricing Solid knowledge & understanding of Machine Learning/Data Science Willingness to learn and work well within a team ·Research experience is more »

better. Tech Stack: Python GNU/Linux Mathematical + Scientific Libraries (Numpy etc..) Azure NumPy, SciPy, Matplotlib, Pandas, Scikit-learn, TensorFlow, PyTorch, scikit-learn, Keras, matplotlib, seaborn, plotly, bokeh, Altair, Django, Flask, requests, BeautifulSoup, Jinja2 Humand Talent Solutions and their clients and associates do not discriminate on any of the more »

from senior leadership. Key Responsibilities for a Machine Learning Engineer: Develop and debug code in Python, utilizing deep learning frameworks like TensorFlow 2 and Keras Perform in-depth data analysis tasks and design new neural architectures Participate in code reviews, maintain codebase quality, and ensure feature sustainability Investigate problems and more »

performance. REQUIRED SKILLS AND EXPERIENCE Proficiency in Python, including its associated data and machine learning packages such as numpy, pandas, pyspark, matplotlib, scikit-learn, Keras, TensorFlow, and more. Experience working with object-oriented programming languages. Experience in Forecasting and propensity. Expertise in utilizing SQL for data acquisition and transformation. Outstanding more »

and deployment. Excellent communication and teamwork skills, capable of collaborating effectively with non-technical colleagues. Strong knowledge of Python and ML libraries (PyTorch, Tensorflow, Keras, etc.) with R/SQL knowledge, partnered with experience with MLOps tools (Kubernetes, Docker, Jenkins, etc.) would be advantageous. Strong knowledge and experience in deploying more »

creating high-performance implementations of machine learning algorithms Good knowledge of data structures, data modelling and software architecture Proficiency with machine learning frameworks (like Keras or Tensorflow) and libraries (like scikit-learn) Past experience in developing data software products (optional) Track record of coming up with new ideas in machine more »

Quantitative degree from a top university The following is DESIRABLE, not essential: Candidates with previous experience with LLM models Commercial Experience with Tensorflow/Keras Developing cloud native systems An enthusiasm for data visualisation and dashboarding Benefits: Making a serious impact from day one. We're an agile company at more »

development, testing, deployment, and vigilant monitoring. Expertise in C#, Python, and the tools and libraries that make AI magic happen like Semantic Kernel, Langchain, Keras, TensorFlow, Pytorch, etc. Experience in creating and delivering multi-tenant cloud solutions at scale using Docker, Kubernetes and Cloud services. Experience with Azure stack will more »

of 5 years of hands-on experience in machine learning engineering. Proven expertise in regression modelling and time series modelling. Numpy/Pandas/Keras/Tensorslow/XGBoost/Scikit-learn Experienced in GCP preferably Extensive background in deploying and productionizing machine learning models. Strong programming skills in languages more »

engineers, and designers in the company. Machine Learning Engineer - Ideal Skillset would Include: Top Academics in a relevant field Strong knowledge of TensorFlow, PyTorch, Keras and Scikit-Learn Ideally 1+ year professional experience as a Machine Learning Engineer Research minded and experimental approach to problem solving This is a very more »

Methods like Linear Models and Random Forests Analyse large datasets by: Applying feature analysis Utilising Permutation Importance Implement machine learning methodologies: Utilise TensorFlow/keras Create and optimise neural networks. Improve model efficiency. Dive into online user interaction data to: Maximise conversion rates. Unlock incremental increases in ROI. Create automated more »

Data. Candidates must have strong Python, Cloud (GCP or AWS), Pandas, and SQL. Candidates will have experience of at least one of Scikit-Learn, Keras, Pytorch, or TensorFlow. Good communication skills and full right to work in the UK are both essential. This is a fantastic opportunity to join a … Hybrid working The Person: *Strong Python skills *ML experience *Energy or Geospatial Data experience *GCP or AWS experience *Pandas and SQL experience *Scikit-learn, Keras, Pytorch, or TensorFlow experience *Full rights to work in the UK Reference Number: BBBH225262 To apply for this role or for to be considered for more »