1 to 25 of 92 Remote PyTorch Jobs in England

concept through to deployment, with the ability to communicate effectively to both technical and non-technical stakeholders. Proficiency with machine learning frameworks, such as PyTorch or TensorFlow. Strong expertise in deep learning algorithms, model architectures, and the AI development lifecycle. Hands-on experience with the latest technologies and models in More ❯

concept through to deployment, with the ability to communicate effectively to both technical and non-technical stakeholders. Proficiency with machine learning frameworks, such as PyTorch or TensorFlow. Strong expertise in deep learning algorithms, model architectures, and the AI development lifecycle. Hands-on experience with the latest technologies and models in More ❯

Youll be proficient in Python, R, or other relevant programming languages and have Experience with machine learning libraries and frameworks (e.g., TensorFlow, Scikit-learn, PyTorch). With a background in data mining and pattern recognition youll be an expert in statistical modelling, predictive analytics and regression techniques. An industry certification More ❯

evaluation techniques in object detection and classification Programming Skills: Language: Python Frameworks and libraries: Core python libraries like pandas, numpy, opencv, scikit-learn etc. Pytorch, Keras, Tensorflow, MMdetection (and other common CV libraries) Huggingface Streamlit (or other alternatives) Cloud Technologies: AWS Knowledge of appropriate services within AWS (such as Sagemaker More ❯

evaluation techniques in object detection and classification Programming Skills: Language: Python Frameworks and libraries: Core python libraries like pandas, numpy, opencv, scikit-learn etc. Pytorch, Keras, Tensorflow, MMdetection (and other common CV libraries) Huggingface Streamlit (or other alternatives) Cloud Technologies: AWS Knowledge of appropriate services within AWS (such as Sagemaker More ❯

and annotation processes, with the ability to independently evaluate and improve models. Proficiency in Python and familiarity with relevant ML frameworks and libraries (e.g., PyTorch). Experience with cloud services such as AWS, GCP, or Azure. Excellent verbal and written communication skills, with the ability to convey complex technical concepts More ❯

science. PhD or MSc in a related subject, Mathematics, Machine Learning, etc. Strong Python, SQL, and cloud-based ML framework expertise (AWS SageMaker, TensorFlow, PyTorch). Experience with real-time data processing. Knowledge of probabilistic modelling, optimisation, A/B testing. Knowledge of AdTech systems. Excellent problem-solving skills and More ❯

a strong focus on machine learning and time series forecasting. Expertise in Python and its data science libraries (e.g., Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch). Solid understanding of ML and data pipeline architectures and best practices. Experience with big data technologies and distributed computing (e.g., Spark, Hadoop) is a More ❯

Requirements: 4+ years of experience in Data Science, with a strong focus on AWS cloud solutions. Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) and SQL . Hands-on experience with AWS services (SageMaker, Lambda, Glue, Redshift, Athena, S3). Strong understanding of ML model development, deployment, and monitoring More ❯

scientists Essential Skills: Formal training in machine learning and computer vision Coding experience in python Experience working with at least one deep learning framework (pytorch or tensorflow) A strong willingness to learn Highly collaborative mindset A strong interest for a product-centric organization Desirable Skills: Working knowledge of cloud computing More ❯

clusters) . What We’re Looking For: A PhD in a core STEM subject at a top 10 university Proficiency in Python, C++, Java, PyTorch, TensorFlow. Experience deploying ML models at scale. Strong product sense and ability to iterate on AI-driven user experiences. A strong entrepreneurial mindset! If this More ❯

We are looking for Senior Applied Scientist to lead the design and deployment of cutting-edge AI-powered digital identity solutions. Join our team and collaborate with engineers, data scientists, and researchers to shape the future of secure authentication. What More ❯

Strong understanding and experience with ML models and ML observability tools Strong Python and SQL experience Spark/Apache Airflow ML frame work experience (PyTorch/TensorFlow/Scikit-Learn) Experience with cloud platforms (preferably AWS) Experience with containerisation technologies The role is offering a basic salary of More ❯

control, reproducibility, and deploying machine learning models Experience with cloud services and architectures (e.g. AWS, Azure) Proficiency with modern deep learning libraries and frameworks (PyTorch, Lightning, Ray) Excellent written documentation skills to document code, architectures, and experiments Preferred Qualifications Experience with data modeling, architecture, and processing using varied data representations … including 2D and 3D geometry Experience with adding computational graph support, runtime or device backend to Machine learning libraries (PyTorch or Lightning Ray) support. Experience scaling ML training and data pipelines Experience working with distributed systems Knowledge of the design, manufacturing, AEC, or media & entertainment industries Experience with Autodesk or More ❯

particularly in fraud prevention and user personalization. Experience designing, developing, and implementing advanced machine learning models. Familiarity with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn. Data Engineering Skills: Proficiency in developing and maintaining real-time data pipelines for processing large-scale data. Experience with ETL processes for More ❯

challenging business problems. We prioritise clean, well-tested code with a culture of documentation and knowledge sharing. Our tech stack includes GCP, Python, GitHub, PyTorch, TensorFlow, Scikit-learn, and XGBoost. With mature infrastructure and dedicated teams for Data Engineering, Analytics, and Platform Engineering, our Data Scientists enjoy high autonomy. We More ❯

how they operate. Excellent Python programming skills, including experience with relevant analytical and machine learning libraries (e.g., pandas, polars, numpy, sklearn, TensorFlow/Keras, PyTorch, etc.), in addition to visualization and API libraries (matplotlib, plotly, streamlit, Flask, etc). Experience developing and implementing quantitative models from data in a financial More ❯

experience in AI development. Strong understanding of machine learning, deep learning, and other AI techniques. Proficiency in Python and relevant AI libraries (e.g., TensorFlow, PyTorch). Experience with data processing and analysis tools (e.g., Pandas, SQL). Familiarity with cloud platforms and AI services. Ability to work with version control More ❯

capabilities to some of the biggest names in the insurance industry. We are developing a modern real-time ML platform using technologies like Python, PyTorch, Ray, k8s (helm + flux), Terraform, Postgres and Flink on AWS. We are very big fans of Infrastructure-as-Code and enjoy Agile practices. As More ❯

define and execute an AI strategy, aligning technical roadmaps with business goals while guiding cross-functional teams. Hands-on technical skills: Proficiency in Python, Pytorch, Diffusers, and distributed computing frameworks. Strong communication & collaboration: Ability to convey complex AI concepts to technical and non-technical stakeholders, driving alignment and adoption across More ❯

learning engineering. Nice to haves Experience with Go, C++, Java or another systems language Experience with Docker, Kubernetes and ML production infrastructure. Tensorflow or Pytorch deep learning experience. Experience using dbt. Benefits Flexible Working Hours & Remote-First Environment - Work when and where you're most productive, with flexibility and support. More ❯

of the qualities we're looking for. Technical Skills: Strong proficiency in Python and relevant frameworks/libraries (NumPy, Pandas, Scikit-Learn, TensorFlow/PyTorch, LangChain, LangGraph, Hugging Face, etc.). Experience working with LLMs and AI models in production environments. Experience building RAG-based applications and vector databases Experience More ❯

Job Purpose: This is an exciting time to join IWG. Our business is growing rapidly, and we are making significant changes to improve the sophistication of our analytics and how we incorporate data across our decision-making processes. The Strategy More ❯

Linux environments and hands-on debugging. Demonstrated ability to influence organisational direction through actionable insights. Desirable: Hands-on experience with machine learning frameworks (e.g., PyTorch). Passion for transitioning research ideas into production-grade solutions. Strong advocate for statistical rigour and experimental best practices. Experience in fast-paced tech environments More ❯

Azure AI Engineer Remote UK £60,000 - £80,000 (DOE) + Holiday + Pension + Healthcare + Remote Working + Great working Culture + Autonomy This is an exciting opportunity for an Azure AI Engineer to join a fast-growing More ❯