51 to 75 of 612 PyTorch Jobs in the UK

years of experience in ML engineering, with at least 2 years in a leadership role. Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Strong experience with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker, Kubernetes). Experience gained in Tech for Good, eCommerce and More ❯

workloads. Strong proficiency with Docker, Kubernetes, and infrastructure automation (Terraform, CloudFormation). Solid programming skills in Python and familiarity with ML frameworks like TensorFlow, PyTorch . Experience designing CI/CD pipelines for ML workflows and deployment automation. Exposure to LLM Ops , including managing fine-tuning and deployment of large More ❯

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 More ❯

workloads. Strong proficiency with Docker, Kubernetes, and infrastructure automation (Terraform, CloudFormation). Solid programming skills in Python and familiarity with ML frameworks like TensorFlow, PyTorch . Experience designing CI/CD pipelines for ML workflows and deployment automation. Exposure to LLM Ops , including managing fine-tuning and deployment of large More ❯

team. Education: An MS degree in Machine Learning, Computer Science, or a related field is preferred. Key Technologies: Python Deep Learning Frameworks: Tensorflow, Keras, PyTorch NLP/Chatbot Technologies Cloud Platforms: AWS, Azure Graph Technology: Neo4j Why Join Us? High-Impact Work: Your work will directly impact how financial professionals More ❯

major conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/or journals Strong high-level programming skills (e.g., Python), frameworks and tools such as DeepSpeed, Pytorch lightning, kubeflow, TensorFlow, etc. Strong written and verbal communication skills to operate in a cross functional team environment More ❯

major conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/or journals Strong high-level programming skills (e.g., Python), frameworks and tools such as DeepSpeed, Pytorch lightning, kubeflow, TensorFlow, etc. Strong written and verbal communication skills to operate in a cross functional team environment #J-18808-Ljbffr More ❯

CE, ML or related field research - Experience programming in Java, C++, Python or related language - 3+ years' experience with modeling languages and tools like PyTorch/TensorFlow, R, scikit-learn, numpy, scipy, etc - Solid ML background and familiar with standard NLU, NLG, and LLM techniques PREFERRED QUALIFICATIONS - PhD in Computer More ❯

Owns and takes responsibility for the quality and delivery of the assigned tasks Desired skills Machine Learning and Deep Learning Frameworks: Scikit-learn, TensorFlow, PyTorch, Keras etc. Communication: Effectively communicates complex technical concepts to a diverse audience including technical, and non-technical stakeholders, both verbally and in writing Collaboration: Works More ❯

processes. Work experience with working in Linux and Microsoft Azure. Nice to Have Experience with deep learning, machine learning and NLP frameworks such as PyTorch, HuggingFace Transformer, Scikit-learn. Experience with multiple cloud platforms such as AWS, Google Cloud Platform, Oracle, NVIDIA, or on-prem environments. Perks and Benefits Salary More ❯

CE, ML or related field research - Experience programming in Java, C++, Python or related language - 3+ years' experience with modeling languages and tools like PyTorch/TensorFlow, R, scikit-learn, numpy, scipy, etc - Solid ML background and familiar with standard NLU, NLG, and LLM techniques PREFERRED QUALIFICATIONS - PhD in Computer More ❯

a technical or scientific discipline – Mathematics, Computer Science, Physics, or Engineering etc (Beneficial) Very strong Python experience Experience with machine learning frameworks, such as PyTorch or TensorFlow Strong analytical skills Ability to work with autonomy and as part of a team Great communication skills with fluent spoken and written English More ❯

our focus remains on modelling and problem-solving, not data cleaning. Our tech stack is made up of GCP, Python, GitHub, Scikit-learn, XGBoost, PyTorch and TensorFlow. The impact you'll have: Reporting to the Head of Data Science, the Senior Data Scientist will play a pivotal role in propelling More ❯

SageMaker, ECS) and cloud infrastructure management Programming and ML Frameworks: Proficiency in Python and experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch CI/CD Experience: Experience with CI/CD tools and practices (e.g., GitHub Actions, Jenkins) and the ability to design and implement efficient CI 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 ❯

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 ❯

Machine Learning, Deep Learning, and NLP Experience with transformer models (BERT, GPT, LLaMA, etc.) Proficiency in SQL, Python and ML libraries such as TensorFlow, PyTorch, Hugging Face, and Scikit-Learn Expertise in personalisation techniques (recommendation systems, user segmentation, dynamic pricing) Experience working with sensitive and business critical data, able to More ❯

and collaborative mindset. Highly Desirable/Additional Skills: Experience integrating Large Language Models and developing conversational AI solutions. Familiarity with deep learning libraries (Keras, PyTorch, TensorFlow) Experience with data processing tools (Pyspark, Hive) and databases (MongoDB, SQL, NoSQL) NLP expertise (nltk, SpaCy), especially with unstructured financial data. Understanding of financial More ❯

tools (e.g., MATLAB/Simulink, Modelica, Ansys, or equivalent platforms) for modeling BESS components. Strong understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with Linux command-line. Cloud Platforms: Hands-on experience with cloud-based environments such as AWS, Azure, or GCP. Knowledge of More ❯

Python, R, and SQL, and data analysis libraries (e.g., Pandas, NumPy, SciPy, Tidyverse). Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, NLTK). Experience with NLP techniques, such as named entity recognition (NER), topic modeling, semantic similarity, and knowledge graph construction. Demonstrated ability to More ❯

experience). 2-3 years of experience in machine learning, with a strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Hands-on experience with data preprocessing, feature engineering, and model training for real-world problems. Strong Python and Java programming skills and familiarity with More ❯

or setting up and scaling MLOps platforms in global organizations. Technical Expertise: Strong understanding of AI/ML technologies, algorithms, and frameworks (e.g., TensorFlow, PyTorch, ONNX), as well as experience with AI/ML workload optimization and deployment.Deep expertise in data architecture and engineering principles, data modelling, ETL processes, data More ❯

a solid understanding of algorithms and data structures. Proficiency in Python with hands-on experience using open-source ML frameworks such as scikit-learn, PyTorch, TensorFlow, or Keras. Extensive experience with Machine Learning and Deep Learning models (e.g., tree-based methods, CNNs, Transformers) and developing robust, production-ready ML systems. More ❯

scale cloud-native Machine Learning platform Extensive experience with programming languages such as Python, Java, Scala etc. Solid experience with ML frameworks such as Pytorch and Huggingface The ability to work in a team, collaborate with others to solve interesting problems that directly affect our customers Demonstrated critical thinking and More ❯

scale cloud-native Machine Learning platform Extensive experience with programming languages such as Python, Java, Scala etc. Solid experience with ML frameworks such as Pytorch and Huggingface The ability to work in a team, collaborate with others to solve interesting problems that directly affect our customers Demonstrated critical thinking and More ❯