1 to 25 of 58 PyTorch Jobs in Berkshire

documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform). More ❯

years of experience in Machine Learning ✅ Strong proficiency in Python (NumPy, Pandas, Scikit-Learn) and SQL ✅ Experience with deep-learning frameworks like TensorFlow and PyTorch ✅ Knowledge of cloud services (AWS, Google Cloud) and productionising ML models ✅ Ability to conduct successful A/B and multivariate tests ✅ A keen curiosity and More ❯

multiple release cycles Strong understanding of data science, machine learning concepts, and analytics capabilities Experience with AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn, etc.) Experience with MLOps practices (e.g., model deployment, monitoring, retraining workflows) for operationalizing machine learning models effectively Excellent communication skills with the ability More ❯

operations communities is encouraged Strong understanding of AI governance, data privacy, and Responsible AI frameworks Experience with AI/ML frameworks such as TensorFlow, PyTorch, LangChain, or similar technologies Demonstrated ability to lead cross-functional teams and operate within complex enterprise ecosystems Familiarity with monitoring, observability, and platform telemetry tools More ❯

or related disciplines, with a focus on data engineering - Strong programming skills in Python or R, along with familiarity with frameworks such as TensorFlow, PyTorch, or Scikit-learn - Deep understanding of statistical analysis, probabilistic models, and optimization techniques - Proven experience working with complex, unstructured datasets and performing feature creation - Excellent More ❯

the finance industry or at a leading technology company. Strong expertise in algorithms, data structures, multivariate calculus, and linear algebra. Proficient in Python, TensorFlow, PyTorch, or similar languages and frameworks, with experience writing CUDA kernels and profiling GPU code a plus. Excellent communication skills, with the ability to work effectively More ❯

ecosystem and bring fresh ideas to the table What we’re looking for: Strong Python skills and experience in ML libraries like scikit-learn, PyTorch, TensorFlow , or XGBoost Hands-on experience building and deploying ML models into production environments Familiarity with ML Ops workflows (e.g., MLflow, Airflow, Weights & Biases, or More ❯

or statistical models at scale, ideally within product environments or a data-rich business. Tech-savvy : Proficient in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, JAX). Strong command of cloud-native AI tooling (e.g., AWS SageMaker, GCP Vertex AI, AzureML/AzureAI, MLflow, Weights & Biases). Well-rounded More ❯

with a self-starter mindset. Proven track record with NLP applications and transformer-based models like BERT or GPT. Advanced proficiency in Python, including PyTorch, Hugging Face Transformers, Pandas, and scikit-learn. Strong understanding of cloud services (preferably AWS) and experience with Docker, Kubernetes, MLFlow, Kubeflow, or similar MLOps tools. More ❯

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) Image (OCR, detection, recognition) Video (object tracking, anomaly detection) Audio (speech-to More ❯

applications. - Strong track record of optimizing neural network architectures specifically for NPUs or other hardware accelerators. - Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow). - Excellent analytical, communication, and collaborative skills. Preferred Qualifications: - Industry experience delivering real-world generative AI solutions. - Knowledge of hardware-aware model optimization techniques. More ❯

at least 1 year focused on Generative AI and NLP. Strong programming skills in Python; proficient in libraries such as NumPy, Pandas, scikit-learn, PyTorch, TensorFlow. Proven experience building and scaling GenAI applications in production. Expertise in LLM architectures (OpenAI, LLaMA, Mistral, etc.) and RAG implementation. Familiarity with frameworks like More ❯

Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statistical analysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks and concepts, with direct experience working with YOLO More ❯

Azure skills) Database expertise - both MySQL and Firestore Enterprise infrastructure - microservices, Docker, Kubernetes, CI/CD AI & Startup Experience: LLM experience - LangChain, TensorFlow/PyTorch beneficial Degree in Computer Science/Engineering OR equivalent practical experience Startup/product building experience highly valued Entrepreneurial mindset - proactive, independent, collaborative If you More ❯

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 More ❯

strong background in AI research and applied machine learning. Expertise in key data science technologies and techniques, such as Python, Git, AWS, AWS Sagemaker, PyTorch, TensorFlow, Jax, Numpy, Scikit-learn, Time-series forecasting, Classification, Regression, Large-language models, and Experiment Design. Strong stakeholder management skills and the ability to communicate More ❯

or related field 3-5 years experience in NLP subdomains like sentiment analysis or natural language understanding Proficiency in Python and relevant libraries (TensorFlow, PyTorch, Hugging Face, etc.) Strong understanding of machine learning engineering and software development Experience with data preprocessing, feature engineering, and model evaluation Experience in financial services More ❯

ML solutions using Python, open-source tools & infrastructure Collaborate with cross-functional teams to enhance product features, based on client feedback Work with Python, PyTorch, Tensorflow, Kubernetes, Docker & cloud platforms Ideal Candidates have 5+ years of Backend (Python) Software Engineering experience in a fast-paced, high-growth, product environment Some More ❯

Knowledge of data pipelines, analytics tooling, or large-scale data processing. Interest in cloud-native and serverless architectures. Familiarity with tools such as TensorFlow, PyTorch, or LangChain is a plus. More ❯

to understand business requirements and translate them into innovative technical solutions. Responsibilities: Design and implement machine learning models and AI algorithms using Python, TensorFlow, PyTorch, or other relevant frameworks. Collaborate with cross-functional teams to integrate AI/ML solutions into our SaaS platform. Work on data preprocessing, feature engineering … in AI/ML development, preferably in fintech or a related industry. Strong proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes). Knowledge of data pipelines, ETL processes, and databases More ❯

Background in mathematics, statistics, computer science , or a related field Proficiency in Python, R, or similar languages and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) is a plus Analytical mindset with a passion for innovation and problem-solving Willingness to relocate to Glasgow What You’ll Do Work More ❯

etc.). Requirements: 1–3 years of experience in ML or AI Proficiency in Python, SQL, cloud platforms (Azure), and modern ML frameworks (TensorFlow, PyTorch). Familiarity with generative AI, deep learning, and the full development lifecycle. A proactive mindset and strong interest in innovative technologies. Why Join? Be part More ❯

video and language processing, microservices — it’s all in play. 🛠 You'll: Design and build ML models from scratch using Python + TensorFlow/PyTorch Ship features across both frontend and backend (FastAPI for now) Work on NLP, CV, generative AI (GANs/LLMs), and time-series models Own end More ❯

to be both a scientist and an engineer: excited by innovation, and pragmatic about delivering impact! 🛠️ Key Technologies: Python and modern ML libraries (e.g. PyTorch, TensorFlow, JAX) AWS and cloud infrastructure for scalable training and inference ML ops tooling, model monitoring, and data pipelines Bonus: experience with LLMs & generative AI More ❯

experience in ML, AI, CS, physics, or mathematics Strong publication record (NeurIPS, ICML, ICLR, etc.) Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) Solid grasp of ML techniques; independent and team-oriented mindse Preferred: Experience in LLMs, reinforcement learning, or chip design Familiarity with JAX and optimization More ❯