101 to 125 of 1,503 PyTorch Jobs in the UK

Tools: Hands-on with SageMaker, Lambda, Step Functions, S3, Athena. - OCR Development: Experience with Amazon Textract, Tesseract, and LLM-based OCR. - Python Expertise: Skilled in Pandas, NumPy, scikit-learn, PyTorch, Hugging Face Transformers; modular, testable code. - ML Models: Proficient in regression, classification, clustering, and time-series forecasting. - Business Insight: Translate business needs into data-driven solutions and actionable insights. - Stakeholder More ❯

or a related field. Proven expertise in AI/ML fields such as LLMs, Computer Vision, Generative AI, NLP, or foundational models. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and familiarity with cloud-based computing platforms. Strong analytical, mathematical, and coding skills (e.g., Python, C++, or Java). First author in research publications in peer-reviewed conferences or journals. More ❯

practices for Pythonic programming, for example refactoring code for efficiency and modularization in PyTorch. Proficiency with standard deep learning algorithms and model architectures, can build new models either using Pytorch functional API or from scratch. Familiarity with current deep learning literature and math of machine learning In-depth knowledge in machine learning best practices, scalable training and deployment, model introspection … and evaluation Experience in deep learning for computer vision, including but not limited to image segmentation and object detection Advanced level in PyTorch or Tensorflow. Experience with devop stacks: version control, CI/CD, containerization, etc. A thorough understanding of security and privacy best practices as relates to data and code. Preferred Qualifications & Skills: If you have the following characteristics More ❯

implement ideas from recent ML papers to solve practical challenges using retail image datasets Benchmark multiple approaches through rigorous experimental pipelines Build scalable inference pipelines using frameworks such as PyTorch, TensorRT, ONNX, and TensorFlow Lite (cloud and edge) Collaborate with engineers and product stakeholders to integrate models into end-to-end systems Perform error analysis and iterate on models continuously … foundation in deep learning architectures, including Experience with generative AI models such as diffusion models and vision-language models (VLMs) Proficient in Python and familiar with ML frameworks like PyTorch Familiarity with model optimization and inference acceleration tools (e.g., ONNX, TensorRT, OpenVINO, vLLM) Demonstrated ability to ship ML models in production settings, including performance monitoring and failure analysis Excellent communication More ❯

Jazz Data Science and across Jazz Research and Development. Required Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability More ❯

Python, and Pandas. Key Responsibilities: Working experience with LLMs under Bedrock and Sagemaker (Amazon) Python with APIs to ChatGPT Strong coding skills using libraries like pandas, NumPy, scikit-learn, PyTorch, and Hugging Face Transformers Key Skills & Experience: AWS Data Science Environment: Hands-on experience with SageMaker, Lambda, Step Functions, S3, Athena. Model deployment and pipeline orchestration in AWS. OCR Use … Case Development: Proficiency with Amazon Textract, Tesseract, and LLM-based OCR. Building document parsing pipelines, validations, and rules. Python Proficiency: Strong skills with libraries like pandas, NumPy, scikit-learn, PyTorch, and Hugging Face Transformers. Ability to write clean, modular, and testable code. Traditional Machine Learning Models: Experience with regression (linear, ridge), classification (logistic regression, decision trees, random forests), clustering (k More ❯

large data sets, and construct problem hypotheses that help steer the product feature roadmap (e.g. with use of Python), tools for database (e.g. SQL, spark) and ML platform (tensorflow, pytorch) • Conducting regular code reviews and implementing quality assurance processes to maintain high standards of code quality and performance optimization. • Providing technical guidance and mentorship to junior team members and collaborating More ❯

a compulsory attendance of 2 days a week in the Cambridge office. This role focuses on maintaining and optimising the Linux operating system, file systems, and software stack (Cuda, PyTorch, Python, etc.) for machine learning projects, as well as setting up and configuring NVIDIA HGX servers (installing and updating software, managing user access, and ensuring optimal performance) and cloud infrastructure … knowledge of AWS or Azure Cloud environments Experience with NVIDIA GPU technologies, such as NVLink, NVSwitch, and Tensor Core GPUs Experience with machine learning frameworks and libraries, such as PyTorch and associated system optimisations Experience with NAS servers Experience with data version control systems Benefits: 23 days' holiday + all public holidays, rising to 25 days after 2 years of More ❯

AI models using modern architectures in 3D Graphics and/or Visual Computing Building custom AI training datasets and performing model training Strong knowledge and hands-on experience with PyTorch Solid Python programming skills Understanding of a broad range of AI algorithms and principles Real-time or physically-based 3D graphics rendering Optimizing deep learning inference algorithms for GPU architectures More ❯

Solid understanding of machine learning algorithms, statistical methods, and predictive modeling. Experience with NLP techniques for text analysis, classification, and information extraction. Knowledge of deep learning frameworks such as PyTorch or TensorFlow. Experience with data visualization tools (Matplotlib, Seaborn, Plotly, or similar). Strong analytical mindset with a focus on solving real-world problems. Excellent communication skills to present findings More ❯

discipline. Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, or a related field. Strong programming skills in Python. Experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn. Proficiency in data manipulation and analysis using tools such as Polars, Pandas, NumPy, or SQL. Solid understanding of algorithms, statistics, and data structures. Experience with cloud More ❯

discipline. Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, or a related field. Strong programming skills in Python. Experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn. Proficiency in data manipulation and analysis using tools such as Polars, Pandas, NumPy, or SQL. Solid understanding of algorithms, statistics, and data structures. Experience with cloud More ❯

Tools Utilize Azure Machine Learning and AI tools to manage model lifecycles. Leverage cloud platforms like Azure, AWS, and GCP for scalable ML model deployment. Employ frameworks like TensorFlow, PyTorch, and scikit-learn for model development. Data Engineering and Preparation Oversee data ingestion, cleaning, transformation, and feature engineering processes to ensure high-quality datasets. Work with large datasets and implement … focused role. Technical Skills Expertise in designing and deploying ML algorithms, AutoML tools, and AI applications. Proficiency with programming languages such as Python and R, and ML libraries (TensorFlow, PyTorch, scikit-learn). Hands-on experience with cloud platforms (Azure ML) and big data ecosystems (e.g., Hadoop, Spark). Strong understanding of CI/CD pipelines, DevOps practices, and infrastructure More ❯

validate assumptions, seek evidence Have hands-on experience with machine learning models Proficient with Python, SQL, Bash, HTML/CSS/JS, and Excel; familiar with Jupyter, Pandas, SciKit, PyTorch, CI/CD, Git Understand probability and statistics Experienced with containerisation (Docker, Kubernetes) Knowledge of cloud architecture, API design, security, deployment Hands-on with at least one major cloud platform More ❯

from you: Strong understanding of a wide range of ML algorithms. Understanding of MLOps practices for managing and monitoring models in production. Experience with deep learning frameworks (e.g. TensorFlow, PyTorch). Proficiency in programming languages such as Python, SQL and R. Knowledge of SQL and NoSQL databases for data storage and retrieval. Experience with LLM application design and deployment. Strong More ❯

including machine learning, deep learning, and neural networks. Strong programming skills in languages such as Python, R, or Java. Familiarity with AI libraries, frameworks, and tools such as TensorFlow, PyTorch, or Keras. Proven understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and experience deploying AI models on these platforms. Solid understanding of AI concepts, algorithms, and methodologies. Knowledge More ❯

from you: Strong understanding of a wide range of ML algorithms Understanding of MLOps practices for managing and monitoring models in production. Experience with deep learning frameworks (e.g. TensorFlow, PyTorch) Proficiency in programming languages such as Python, SQL and R. Knowledge of SQL and NoSQL databases for data storage and retrieval. Strong software engineering skills, including version control (Git), code More ❯

degree, preferably in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field. Proficiency in Python, including hands-on experience with machine learning libraries and frameworks (e.g., Pandas, Pytorch, Tensorflow, HuggingFace). Demonstrated experience in data science and machine learning through projects, internships, or prior roles, with exposure to or hands on experience with Gen AI concepts and technologies. More ❯

CUDA, Triton); cloud computing (on hyper-scaler platforms, e.g., AWS, Azure, GCP); building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; C/C++ for computer vision, geometry processing, or scientific computing; software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API More ❯

Join to apply for the Principal Data Scientist role at Wood Mackenzie Join to apply for the Principal Data Scientist role at Wood Mackenzie Get AI-powered advice on this job and more exclusive features. Wood Mackenzie is the global More ❯

mechanisms Conduct experiments using A/B testing and statistical analysis to validate approaches Document ML systems and provide support for ongoing performance tuning Use tools like Python, TensorFlow, PyTorch, Scikit-learn, AWS, GCP, MLflow, Docker, SQL , and others Requirements Minimum Bachelor's degree in Computer Science, Machine Learning, AI, or a related field Proven experience as a Machine Learning … Engineer or in a similar role (minimum 1 year ) Strong proficiency in Python and popular ML frameworks (e.g., TensorFlow, PyTorch) Experience deploying machine learning models into production environments Solid understanding of data structures , algorithms , and statistical learning Familiarity with cloud platforms (AWS, Azure, or GCP) and ML pipeline orchestration Bonus: Experience with deep learning , NLP , recommendation systems , or computer vision More ❯

team. Qualifications Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (PhD a plus). Strong programming skills in Python (TensorFlow, PyTorch, scikit-learn) and experience with ML frameworks and libraries. Hands-on experience with cloud platforms (e.g., AWS, GCP, Azure) and deploying AI models in production environments. Solid understanding of data More ❯

collaboration skills Full right to work in the UK (we are unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: Competitive Salary More ❯

such as AWS SageMaker or Azure ML), and optimising models for efficient inference using formats like ONNX and TensorRT Proficiency in Python and ML/engineering frameworks such as PyTorch, TensorFlow (including Keras), Hugging Face (Transformers, Datasets) and scikit-learn, etc Experience with MLOps tools, including MLFlow, workflow orchestrators (Airflow, Metaflow, Perfect or similar), and containerisation (Docker) Strong knowledge of More ❯

Pandas, TensorFlow, AI Foundry, OpenAI, Scikit-learn etc.). • Solid understanding of core machine learning concepts • Hands-on experience with at least one major deep learning framework (e.g., TensorFlow, PyTorch, Keras). • Proven understanding of software engineering principles, data structures, algorithms, and design patterns. • Experience with version control systems (e.g., Git). • Excellent problem-solving and analytical skills. • Strong communication More ❯