151 to 175 of 546 PyTorch Jobs in England

database design experience. Understanding of REST APIs and distributed systems. Experience with Git and modern development practices. Desirable: C#, .NET, Vue.js, Azure, Docker, TensorFlow, PyTorch, Azure DevOps, Linux. Character Comfortable working across multiple technical disciplines. Strong problem-solving and analytical skills. Self-motivated and capable of working independently. Willingness ...

modern software engineering practices Machine Learning/Deep Learning MLOps and production ML systems Cloud platforms and scalable infrastructure ML frameworks such as PyTorch, TensorFlow or equivalent LLMs/Generative AI is highly desirable CI/CD, Docker, Kubernetes or similar technologies Designing and operating production-scale ML platforms ...

database and Storage Account blob is must Proficiency in programming languages such as Python, with hands-on experience in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Experience with cloud platforms Azure machine learning services. Experience with monitoring tools and practices for model performance in production. practical ability ...

pipelines and working with both structured and unstructured data Knowledge of AI, machine learning or generative AI technologies Exposure to frameworks such as TensorFlow, PyTorch, LangChain or similar Experience working with cloud based data platforms and modern data architectures Strong analytical and problem-solving skills Excellent communication skills with ...

Data Science, Mathematics, Computer Science, or a related field. Strong programming skills in Python or R, with experience using frameworks such as Scikit-learn, PyTorch, or TensorFlow. Experience with cloud platforms or distributed computing (GCP preferred, but AWS or Azure also welcome). Exposure to neural networks (a plus ...

Data Science, Mathematics, Computer Science, or a related field. Strong programming skills in Python or R, with experience using frameworks such as Scikit-learn, PyTorch, or TensorFlow. Experience with cloud platforms or distributed computing (GCP preferred, but AWS or Azure also welcome). Exposure to neural networks (a plus ...

leading by example. Strong understanding of software architecture principles and system design. Familiarity with integrating AI/ML APIs or frameworks (e.g., TensorFlow, PyTorch) is a plus. Excellent communication skills and a collaborative approach to problem solving. The Mindset We Value: Relentless Innovation: We're looking for individuals ...

with reasonable industry experience, or an MS with significant industry or research experience. Extensive experience with machine learning and deep learning toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas). Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned ...

propose solutions taking effort-impact-scalability tradeoff into account.Some skills that will make you stand out: Apache Spark, Iceberg, Kafka, dbtScikit-Learn, XGBoost, PyTorch, MLFlow,, GraphFrames, RayAWS (S3, EMR, SageMaker, Lakeformation), Terraform, Docker, GitHub CI/CDKnowledge Graphs (+ RAG), graph ML, probabilistic programming, A/B testingAdditional InformationFor everyone ...

least a high level familiarity with the architecture and operation of large language models. Have personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow. Possess a strong foundation in data structures, algorithms, and software engineering principles. Exhibit excellent problem‐solving and analytical skills, with a proactive ...

testing AI/ML applications or validating machine learning modelsExperience with data validation tooling (e.g., Great Expectations) or labeling workflowsFamiliarity with ML frameworks (e.g., PyTorch, TensorFlow)Experience with data pipelines and orchestration tools (e.g., Airflow, Metaflow)Knowledge of MLOps practices (e.g., model monitoring, drift detection, deployment validation)Knowledge ...

testing AI/ML applications or validating machine learning modelsExperience with data validation tooling (e.g., Great Expectations) or labeling workflowsFamiliarity with ML frameworks (e.g., PyTorch, TensorFlow)Experience with data pipelines and orchestration tools (e.g., Airflow, Metaflow)Knowledge of MLOps practices (e.g., model monitoring, drift detection, deployment validation)Knowledge ...

environments is essential. •You should have strong Python development skills •Solid understanding of machine learning fundamentals and AI concepts •Experience with frameworks such as PyTorch, TensorFlow or LangChain •Experience developing and deploying machine learning models into production •Knowledge of data pipelines and CI/CD practices •Experience with Docker, Kubernetes ...

testing AI/ML applications or validating machine learning modelsExperience with data validation tooling (e.g., Great Expectations) or labeling workflowsFamiliarity with ML frameworks (e.g., PyTorch, TensorFlow)Experience with data pipelines and orchestration tools (e.g., Airflow, Metaflow)Knowledge of MLOps practices (e.g., model monitoring, drift detection, deployment validation)Knowledge ...

timeseries data and text Strong programming skills in Python and experience with standard data science libraries such as pandas, numpy, scikit-learn, tensorflow, pytorch Experience working with data systems, structured and unstructured databases such as ClickHouse or MongoDB Familiarity with APIs, pipelines, kubernetes and linux environments. Experience with version control ...

Strong commercial acumen with a history of influencing the commercial success of AI products and solutions. DESIRABLE: Experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), and advanced ML libraries (e.g. scikit-learn, XGBoost). Experience with data storage ...

Strong commercial acumen with a history of influencing the commercial success of AI products and solutions. DESIRABLE: Experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), and advanced ML libraries (e.g. scikit-learn, XGBoost). Experience with data storage ...

experience, or an MS with significant industry or research experience in the field Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit‐Learn, Pandas) Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with ...

operational efficiency.What we’re looking for:Proficiency in Python (and at least one other language a plus). Experience with key libraries such as PyTorch, Pandas, Hugging Face Transformers, or similar AI toolkits.Working knowledge of common models, and their use cases and experience applying them to solve specific problems.Solid engineering ...

industry experience, or an MS with significant industry or research experience in the fieldExtensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with ...

Scrum practices and a strong Agile mindset. Advanced proficiency in Python and its key data and ML libraries (NumPy, PySpark, Scikit learn, TensorFlow/PyTorch) Working knowledge of generative AI models (e.g., ChatGPT, Claude), Databricks GenAI tooling (including embedding models), and modern data structures such as vector databases. Strong expertise ...

equivalent experience). 4+ years of industry experience, focusing on deep learning‐based NLP applications. Strong proficiency in deep learning frameworks such as PyTorch or TensorFlow. Hands‐on experience with cloud platforms (e.g., AWS, Google Cloud). Ability to drive AI initiatives from research to production in a collaborative environment. ...

evaluation, data annotation and curation, training pipelines, performance optimisation, edge ML, MLOps, deployment and maintenance of ML solutions, Python development, Python-based ML frameworks, PyTorch, TensorFlow, sklearn, OpenCV, NumPy, feature development, code review, pytest, linting, bug fixing, relational databases, database design and maintenance, AWS/cloud infrastructure, CI/ ...

lexical, vector, hybrid)Evaluation methodologies for IR and generative AI systemsStrong programming skills in PythonExperience with modern AI/ML frameworks and tooling (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack)Experience working with Databricks or similar distributed data and machine learning platformsUnderstanding of experimentation methodologies, evaluation frameworks, and statistical analysisProficiency ...

native AI services (e.g., Vertex AI) or enterprise integration patterns for vendor tooling (auth/audit/data boundaries).Experience with modern ML frameworks (PyTorch/TensorFlow) when useful for evaluation or prototyping, but not required for the core role.Deep familiarity with game development pipelines and production constraints.Familiarity with ethical ...