401 to 425 of 1,549 PyTorch Jobs in England

or a related field. 10+ years in AI and robotics, with at least 5 years in leadership roles. Deep expertise in: Machine Learning and Deep Learning frameworks (e.g., TensorFlow, PyTorch). Robotic Operating Systems (e.g., ROS, ROS2). Computer Vision, Natural Language Processing (NLP), and Reinforcement Learning. Motion planning, sensor fusion, and control algorithms for humanoid robots. Proficiency in Python More ❯

governance standards. Data Scientist experience we’re looking for – Proven experience in a commercial Data Science role. Strong proficiency in Python (including libraries like pandas, scikit-learn, TensorFlow or PyTorch). Solid understanding of machine learning algorithms, data modelling, and statistical analysis. Hands-on experience working with large datasets and data wrangling techniques. Familiarity with cloud-based environments, particularly AWS. 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 ❯

in Linux environments, with experience in scripting and systems optimization. Proficiency in data structures, debugging, and optimizing pipelines for production. Proficiency with Scikit-learn and deep learning frameworks like PyTorch, with experience in two or more domains: NLP (semantic search, sentiment analysis, translation) Video (object tracking, anomaly detection) Recommendation Systems (retrieval, ranking, ad tech) Looking to deliver innovative AI solutions More ❯

fine tuning, modelling and deploying LLMs - experience with RAG, IR, NER etc would also be very beneficial Strong programming skills (e.g., Python) and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, LangChain). Collaborating with other Researchers, Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback. Please apply below for immediate consideration More ❯

make a real impact. Implementing MLOps best practices for seamless model deployment, monitoring, and iteration. What We’re Looking For: Strong Python skills – You know your way around TensorFlow, PyTorch, or Hugging Face. Experience with LLMs, NLP, or recommendation algorithms . Familiarity with MLOps, APIs, and scalable cloud solutions . Passion for AI-powered personalisation and making tech feel more More ❯

developing ML models using open-source frameworks in Python and R and applying them on real client use cases. Proficient in one of the deep learning stacks such as PyTorch or Tensorflow. Working knowledge of parallelisation and async paradigms in Python, Spark, Dask, Apache Ray. An awareness and interest in economic, financial and general business concepts and terminology. Excellent written More ❯

Autonomous Driving Passion for working in a team on research ideas that have real-world impact Strong programming skills in Python, with experience in deep learning frameworks such as PyTorch, numpy, pandas, etc. Several years of experience working on machine learning algorithms and systems A good grasp of machine learning literature Comfortable working with large quantities of image and video More ❯

with 4+ years of relevant industry experience. Strong expertise in deep learning, neural networks, and generative models (GANs, diffusion models). Practical experience with modern machine learning frameworks (e.g., PyTorch, TensorFlow). Advanced programming skills in Python . Strong problem-solving, analytical, and communication skills. Demonstrated ability to work effectively in multidisciplinary, fast-paced, research-driven teams. Preferred Qualifications Experience More ❯

with 4+ years of relevant industry experience. Strong expertise in deep learning, neural networks, and generative models (GANs, diffusion models). Practical experience with modern machine learning frameworks (e.g., PyTorch, TensorFlow). Advanced programming skills in Python . Strong problem-solving, analytical, and communication skills. Demonstrated ability to work effectively in multidisciplinary, fast-paced, research-driven teams. Preferred Qualifications Experience More ❯

models to contribute to company growth efforts, impacting revenue and other key business outcomesAdvanced understanding of Python and the machine learning ecosystem in Python (Numpy, Pandas, Scikit-learn, LightGBM, PyTorch)Knowledge of SQL and experience with relational databasesAgile, action-oriente Nice to have Apache SparkExperience working in cloud platforms (AWS, GCP, Microsoft Azure)Relevant knowledge or experience in the gaming More ❯

excellent understanding of key concepts in computer science (e.g. databases, software engineering practices, cloud computing - especially AWS) and data science (e.g. machine learning process) Excellent knowledge of Python including Pytorch, Tensorflow and SKLearn as well as initial knowledge of LangChain, RAGAS and CI/CD You can demonstrate a growth mindset in terms of picking up new challenges and transforming More ❯

Maths, Physics or related field. Minimum of 2 years working in a Data Science related role Hands-on Python for numerical analysis (numpy, pandas, xarray, SciPy/PyMC/PyTorch, or similar). Experience validating models with historical data and communicating results to non-specialists. Exposure to real-time data engineering (Kafka, Airflow, dbt) Track record turning research code into More ❯

personable communication skills. Technical curiosity and adventure around applying machine learning in healthcare, looking to push the boundaries of science! Desired experience: Ph.D. in a relevant area. Understanding of PyTorch, TensorFlow, and platforms like TFX, Neptune.ai, MLflow, Weights & biases, etc. Previous experience working in computer vision or machine learning. Knowledge of digital pathology. Awareness and prior experience in Life Science More ❯

product” ML such as LTV, dynamic pricing, time-series analysis, reinforcement learning); Solid understanding of ML system design and architecture; Extensive experience with Python, core ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn), SQL, Git, and Docker; Strong problem-solving skills, attention to detail, and a commitment to delivering high-quality work; Ability to work with large language models (LLMs), including More ❯

experience in building production quality ML systems. Preferred Qualifications: Master's degree or PhD in Computer Science or a related technical field. Experience with modern ML frameworks (e.g., JAX, Pytorch or TensorFlow). Experience with launching applied Machine Learning/Natural Language Processing (ML/NLP) projects. About the Job Google's software engineers develop the next-generation technologies that More ❯

to sequential data. Experience in domains such as RF, EW, radar, acoustic processing, sensor fusion, autonomy, or space awareness. Proficiency in Python software development. Experience with frameworks like TensorFlow, PyTorch, scikit-learn. Legal right to work in the UK. Publication record in relevant journals or conferences is advantageous. Interest in working in a secure environment is desirable but not essential. More ❯

skills. Experience fine-tuning LLMs for NLP tasks in industry. Demonstrable industry experience delivering AI/ML frameworks for a product. Expertise in working with ML frameworks such as PyTorch, Tensorflow, scikit-learn, Langchain. Experience with DL architectures such as transformers/CNNs. Excellent programming skills in Python and object-oriented paradigm. Agile software development experience. Preferred Qualifications Experience in More ❯

Machine Learning role; additional data or commercial experience is a plus Strong understanding of mathematical background, focusing on statistics and linear algebra Highly proficient in Python (Pandas, Scikit-Learn, PyTorch, PySpark) and SQL Experience with Snowflake (function & procedure) and Snowpark is a plus Experience with unit and integration tests Strong understanding of machine learning algorithms and best practices Vision for More ❯

HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.) Familiarity with Deep Learning techniques (e.g. Network architectures, regularization techniques, learning techniques, loss-functions, optimization strategies, etc.) Familiarity with PyTorch , TensorFlow , JAX or similar frameworks Strong coding abilities in Python and/or C++ Preferred Qualifications: 2D & 3D Generative AI Reinforcement Learning LLMs and Natural Language Processing Computational geometry and More ❯

quantitative academic field. Strong Python programming skills demonstrated through previous work. Proficiency with data science libraries (e.g., NumPy, Pandas, Scikit-Learn) and familiarity with deep-learning frameworks (e.g., TensorFlow, PyTorch). High mathematical competence and proficiency in statistics. Solid understanding of data science techniques such as supervised/unsupervised learning, cross-validation, Bayesian inference, time-series analysis, NLP, SQL, and More ❯

data science , with a focus on NLP , Generative AI and LLMs . Proficiency in Python and experience working with transformer based LLMs and NLP frameworks (e.g. Hugging Face, Spacy, Pytorch/Tensorflow etc ). Knowledge of Prompt Engineering , RAG techniques and various evaluation methodologies for integrating GenAI with search/retrieval systems and measure the quality . Experience working with More ❯

in digital signal processing (DSP) and machine learning applied to audio. Proficiency in programming languages such as Python, C++, and MATLAB. Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, etc.). Understanding of real-time and embedded audio processing techniques. Experience working with generative AI models for audio synthesis and transformation. Strong problem-solving skills with the ability to More ❯

in digital signal processing (DSP) and machine learning applied to audio. Proficiency in programming languages such as Python, C++, and MATLAB. Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, etc.). Understanding of real-time and embedded audio processing techniques. Experience working with generative AI models for audio synthesis and transformation. Strong problem-solving skills with the ability to More ❯

in digital signal processing (DSP) and machine learning applied to audio. Proficiency in programming languages such as Python, C++, and MATLAB. Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, etc.). Understanding of real-time and embedded audio processing techniques. Experience working with generative AI models for audio synthesis and transformation. Strong problem-solving skills with the ability to More ❯