1 to 25 of 44 PyTorch Jobs in the North of England

Language Processing, Computer Vision) and expert knowledge in statistics. You are proficient in the Python Machine Learning stack (NumPy, pandas, scikit-learn, TensorFlow/PyTorch), have extensive experience in software development and are skilled with various database systems (relational/NoSQL). You are experienced in delivering projects in at More ❯

and how to fine-tune those models e.g. XGBoost, Deep Neural Networks, Transformers, etc. Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. Experience More ❯

and how to fine-tune those models e.g. XGBoost, Deep Neural Networks, Transformers, etc. Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. Experience More ❯

CD) automation, rigorous code reviews, documentation as communication. Preferred Qualifications Familiar with data manipulation and experience with Python libraries like Flask, FastAPI, Pandas, PySpark, PyTorch, to name a few. Proficiency in statistics and/or machine learning libraries like NumPy, matplotlib, seaborn, scikit-learn, etc. Experience in building ETL/ More ❯

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 ❯

role is for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we More ❯

role is for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we More ❯

role is for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we More ❯

Docker. Plus, a strong opinion on your IDE/editor of choice is welcome ;) Familiarity with modern machine learning tools, for instance TensorFlow, Keras, PyTorch or SKLearn. Commercial experience with these is not essential. Excellent communication skills; both in customer-facing and internal team communication. Knowledge of MLOps is not More ❯

high availability. Very strong technical background leading application development - with experience in some or all of the following technologies: Python, Java, Spring Boot, TensorFlow, PyTorch, Apache Spark, Kafka, Jenkins, Git/Bitbucket, Terraform, Docker, ECS/EKS, IntelliJ, JIRA, Confluence, React/Typescript, Selenium, Redux, Junit, Cucumber/Gherkin. About More ❯

development. Strong understanding of AI/ML algorithms and techniques, including LLMs, GenAI, and automated AI systems. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch). Skills & Competencies: Must Have: Proficiency in Python, R, or other relevant programming languages. Proficiency in working with large datasets, data wrangling, and data preprocessing. 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 ❯

Cloud, Azure) and containerization tools (e.g., Docker, Kubernetes). Proficiency in programming languages such as Python, experience with AI/ML frameworks (e.g., TensorFlow, PyTorch), and experience with MLOps frameworks/tools (e.g. Sagemaker pipelines, Azure ML Studio, VertexAI, Kubeflow, MLFlow, Seldon, EvidentlyAI More ❯

Data Science, Computer Science, Statistics, Applied Mathematics, or a related field You have strong proficiency in Python, leveraging libraries like Prophet, TensorFlow, Keras, and PyTorch for LSTM, along with expertise in SQL and machine learning frameworks You have hands-on experience with leading time series forecasting techniques, including Prophet, ARIMA More ❯

machine learning roles. Strong knowledge of behaviour biometrics or sensor-based or time series data. Solid Python skills (Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch). Experience with time-series data or sensor-based or behavioural biometric data, and sequential modelling (e.g., LSTMs, Transformers). Comfortable working with SQL and More ❯

apply for the role 3+ years' experience in applied machine learning and production model deployment Proficiency in Python, SQL, and ML frameworks like TensorFlow, PyTorch, or scikit-learn Hands-on experience with AWS services and Databricks; familiarity with ML Ops principles is a plus Ability to quickly learn new tools More ❯

is investing in its data capabilities! Requirements Experience developing and deploying machine learning models Skills in Python, SQL, and ML frameworks such as TensorFlow, PyTorch, or scikit-learn Hands-on experience with Databricks (either on AWS or Azure) Understanding of ML Ops principles is beneficial Confident working independently with a More ❯

really investing in their data capabilities! Requirements Experience developing and deploying machine learning models Skills in Python, SQL, and ML frameworks such as TensorFlow, PyTorch, or scikit-learn Hands-on experience with Databricks (either on AWS or Azure) Understanding of ML Ops principles is beneficial Confident working independently and a More ❯

proficiency in Python, with hands-on experience in asynchronous programming (Python asyncio). 2 plus years of experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Keras). Strong problem-solving skills and the ability to work collaboratively in a team environment. Preferred: Experience with embedded systems and IoT technologies. More ❯

mathematical/statistical background with demonstrable experience in developing deep learning algorithms for research Expert level technical programming skills, with emphasis on Python (NumPy, PyTorch etc) and preferably experience with R Experience of applying deep learning techniques to omics datasets Ability to read machine learning research articles and implement the More ❯

scalable solutions. Work closely with data scientists to deploy machine learning models into production environments. Optimise model inference performance (leveraging frameworks like TensorFlow or PyTorch for model serving) and implement monitoring to track model performance, accuracy, and reliability post-deployment. Keep up-to-date with the latest developments in Python … plus. Must have 8 years’ experience working as a Software Engineer on large software applications. Proficient in many of the following technologies – Python, REST, PyTorch, TensorFlow, Docker, FastAPI, Selenium, React, TypeScript, Redux, GraphQL, Kafka, Apache Spark. Experience working with one or more of the following database systems – DynamoDB, DocumentDB, MongoDB. More ❯

protein structure or drug discovery challenges. You have extensive experience in building and training transformer-based models (e.g., protein folding models) using frameworks like PyTorch, PyTorch Lightning, or similar. You understand the data challenges in structural biology and are capable of designing scalable preprocessing, training, and evaluation workflows. You have More ❯

protein structure or drug discovery challenges. You have extensive experience in building and training transformer-based models (e.g., protein folding models) using frameworks like PyTorch, PyTorch Lightning, or similar. You understand the data challenges in structural biology and are capable of designing scalable preprocessing, training, and evaluation workflows. You have More ❯

protein structure or drug discovery challenges. You have extensive experience in building and training transformer-based models (e.g., protein folding models) using frameworks like PyTorch, PyTorch Lightning, or similar. You understand the data challenges in structural biology and are capable of designing scalable preprocessing, training, and evaluation workflows. You have More ❯

protein structure or drug discovery challenges. You have extensive experience in building and training transformer-based models (e.g., protein folding models) using frameworks like PyTorch, PyTorch Lightning, or similar. You understand the data challenges in structural biology and are capable of designing scalable preprocessing, training, and evaluation workflows. You have More ❯