201 to 225 of 612 Permanent PyTorch Jobs

For Most importantly, you must hold an active UKIC DV Clearance Strong experience in MLOps or ML Engineering Familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn ) Strong proficiency in Python for production systems Proficient in Python and modern DevOps/MLOps tools Experience with cloud platforms and infrastructure as More ❯

new technologies and evaluating the state of the art in machine learning algorithms for text analytics Demonstrated experience with machine learning frameworks such as PyTorch, Keras, Tensorflow Demonstrated experience with data visualization tools (i.e. Tableau, Pandas, D3.js, ggplot, etc) Demonstrated experience with NoSQL data stores such as MongoDB or DynamoDB More ❯

Computer Science, AI, ML, or a related field. Experience in developing and deploying AI/ML solutions. Proficiency in Python and ML frameworks (TensorFlow, PyTorch). Strong understanding of LLMs, NLP, and machine learning algorithms. MLOps knowledge and experience with version control systems. Back-end engineering skills in Python or More ❯

tools like Apache Spark or Hadoop. Proficiency with cloud platforms (AWS, GCP, Azure). Familiarity with major machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Open-source contributions or publications demonstrating expertise in machine learning for scientific applications. Hands-on experience with best software development practices in collaborative environments. More ❯

in advanced machine learning techniques, with a focus on LLMs/genAI, optimisation, or sequential learning Strong background in Python, deep learning frameworks (TensorFlow, PyTorch, Jax), and ML model development PhD in Computer Science, Machine Learning, Applied Mathematics, or related field, or equivalent experience A history of successful scientific publications More ❯

in advanced machine learning techniques, with a focus on LLMs/genAI, optimisation, or sequential learning Strong background in Python, deep learning frameworks (TensorFlow, PyTorch, Jax), and ML model development PhD in Computer Science, Machine Learning, Applied Mathematics, or related field, or equivalent experience A history of successful scientific publications More ❯

tools like Apache Spark or Hadoop. Proficiency with cloud platforms (AWS, GCP, Azure). Familiarity with major machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). *NGS and RNA experience is not strong enough, Python, Physics and Protein dynamics/structures based experience is an absolute must. Excellent basic + More ❯

tools like Apache Spark or Hadoop. Proficiency with cloud platforms (AWS, GCP, Azure). Familiarity with major machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). *NGS and RNA experience is not strong enough, Python, Physics and Protein dynamics/structures based experience is an absolute must. Up to £135k More ❯

tools like Apache Spark or Hadoop. Proficiency with cloud platforms (AWS, GCP, Azure). Familiarity with major machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). *NGS and RNA experience is not strong enough,Python, PhysicsandProtein dynamics/structuresbased experience is an absolute must. Excellent basic + bonus - 3 days More ❯

tools like Apache Spark or Hadoop. Proficiency with cloud platforms (AWS, GCP, Azure). Familiarity with major machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). *NGS and RNA experience is not strong enough,Python, PhysicsandProtein dynamics/structuresbased experience is an absolute must. Excellent basic + bonus - 3 days More ❯

Learning, Computational Linguistics, or a related field OR equivalent industry experience in applied AI research. Strong proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow). Solid understanding of machine learning and deep learning fundamentals. Hands-on experience with at least one of: Familiarity with handling large datasets and More ❯

Learning, Computational Linguistics, or a related field OR equivalent industry experience in applied AI research. Strong proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow). Solid understanding of machine learning and deep learning fundamentals. Hands-on experience with at least one of: Familiarity with handling large datasets and More ❯

Learning, Computational Linguistics, or a related field OR equivalent industry experience in applied AI research. Strong proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow). Solid understanding of machine learning and deep learning fundamentals. Hands-on experience with at least one of: Familiarity with handling large datasets and More ❯

ready solutions) Familiarity in statistical methods for Machine Learning (e.g. Bayesian methods, HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.) Familiarity with PyTorch, TensorFlow, JAX or similar frameworks Strong coding abilities in Python Preferred Qualifications Experience in the Architecture, Engineering, and/or Construction domains, including expertise with More ❯

in big data platforms (e.g., Hadoop, Spark, Kafka) and multi-cloud environments (AWS, Azure, GCP) Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn, PyTorch) Strong programming skills in Python, Java, or Scala Familiarity with data pipeline development and real-time data processing Proven ability to design and implement data More ❯

such as chipping, augment, or conversion using common libraries like Boto3 and NumPy. • Demonstrated professional or academic experience with deep learning frameworks such as PyTorch or Tensorflow to optimize convolutional neural networks (CNN) such as ResNet or U-Net for object detection or segmentation tasks using satellite imagery. • Demonstrated professional More ❯

We’re Looking For: 2+ years in AI/ML engineering or backend software roles with ML components. Proficiency in Python and frameworks like PyTorch/TensorFlow, Scikit-learn. Experience deploying models with Docker, Kubernetes, or serverless architectures. Solid grasp of MLOps workflows, versioning, and cloud automation. Strong foundations in More ❯

record in the successful development and deployment of AI/ML-based tools. Strong command over Python and major ML frameworks such as Keras, PyTorch, TensorFlow, or Scikit-Learn. Extensive experience in building and implementing predictive models to design biological sequences and/or analyse biological sequence data (DNA, RNA More ❯

machine learning , data science , or applied AI roles. Excellent command of Python . Practical experience with at least one deep learning framework (e.g., TensorFlow , PyTorch ). Comfortable with Git and collaborative development workflows. Proven ability to translate theoretical research into operational AI solutions. Language requirements : Fluent English is sufficient; no More ❯

Practical experience in implementing ML systems using languages like Python or Scala and are familiar with relevant ML libraries and frameworks (e.g., TensorFlow or PyTorch). Solid understanding of various machine learning algorithms (e.g., classification, regression, clustering) and their practical applications. Proficient in data manipulation and analysis using tools like More ❯

and hands on experience in prompt engineering, deploying and hosting Large Foundational Models Hands on experience building models with deep learning frameworks like Tensorflow, PyTorch, or MXNet Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of More ❯

/CD pipelines, containerization, and cloud deployment for large-scale models. Solid programming skills in Python and familiarity with machine learning frameworks like TensorFlow, PyTorch, Hugging Face Transformers, and MLOps tools (e.g., MLflow, Kubeflow). Strong analytical and problem-solving skills, with an aptitude for translating complex theoretical research into More ❯

science and machine learning, with a focus on natural language processing and LLMs. • Proficiency in programming languages such as Python and libraries like TensorFlow, PyTorch, or similar. • Strong understanding of data preprocessing techniques, feature engineering, and model evaluation metrics. • Experience with secure data handling and the ability to work within More ❯

of object-oriented programming concepts. Experience in designing and implementing ETL pipelines, data warehousing, and data modeling. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Expertise in statistical modeling, machine learning algorithms, and data mining techniques. Familiarity with data visualization and reporting tools, such as Tableau, Power More ❯

emphasis on threat detection. Solid experience in machine learning and data science, proficient in both supervised and unsupervised algorithms and frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience working with large, real-world datasets that require pre-processing, data visualization, and a great dose of analytical skills. Preferred requirements More ❯