101 to 125 of 240 PyTorch Jobs

financial services context, collaborating across engineering and business teams. The role requires a PhD/MSc in ML/NLP, solid experience with PyTorch, Transformers, and cloud platforms (Databricks, Azure, AWS), and a #J-18808-Ljbffr ...

teams and engage with stakeholders across the business. Essential : Strong Python skills (R, Java or C++ beneficial). Experience with ML frameworks (e.g. TensorFlow, PyTorch). Experience working with large datasets and data tools. Knowledge of statistical analysis and data visualisation. Experience with cloud platforms (AWS or Azure). Strong ...

market leading business with innovation at its core please apply now to be considered Software AI Engineer Remote AI, machine learning, LLM, Python, PyTorch, Azure ...

commercial and open-source LLMs into agentic workflows Agent and orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or CrewAI Model-level work using PyTorch and the Hugging Face ecosystem (embeddings, fine-tuning, inference tooling) Strong schema, validation, and state management practices using tools such as Pydantic (Python ...

versioning, monitoring, automation) Demonstrable experience building recommendation systems (collaborative filtering, content-based, hybrid approaches) Strong proficiency in Python and common ML libraries (e.g. TensorFlow, PyTorch, Scikit-learn) Experience working with large-scale data processing tools (e.g. Spark) Strong understanding of software engineering best practices If you are interested ...

inside IR35. The Tech: Python Experience in AI Solution Integration, Data Science or Data Engineering Open AI or Gen AI Proficiency in TensorFlow or PyTorch Knowledge of Elasticsearch or Graph databases like Neo4J CI/CD pipelines, Terraform The Company & Culture: Having met most of the team, I know they ...

practices Skills & Experience * Strong experience with AI engineering, or software engineering (e.g. Python, Java, JavaScript/TypeScript etc.) with libraries/frameworks such as PyTorch, TensorFlow etc.) * Experience with RAG and LLM-based solutions * Solid understanding of AI architectures and data pipelines * Knowledge of security, compliance, and governance principles from ...

Machine Learning, Computer Science or a closely related discipline Strong software development experience using Python Hands-on experience with Machine Learning frameworks such as PyTorch or TensorFlow Experience working with Large Language Models (LLMs), Knowledge Graphs, Graph Machine Learning or Natural Language Processing Experience developing AI prototypes, proof-of-concept ...

practices Skills & Experience * Strong experience with AI engineering, or software engineering (e.g. Python, Java, JavaScript/TypeScript etc.) with libraries/frameworks such as PyTorch, TensorFlow etc.)* Experience with RAG and LLM-based solutions* Solid understanding of AI architectures and data pipelines* Knowledge of security, compliance, and governance principles from ...

Overview AI/ML Engineers build, evaluate, and deploy machine‐learning systems at scale. The day‐to‐day work combines data preprocessing, model training (PyTorch, TensorFlow), evaluation against business or research metrics, and production deployment (FastAPI, Triton, Ray) with monitoring. The role increasingly overlaps with MLOps (model deployment, monitoring, retraining ...

Bachelor's degree or higher in Computer Science, Mathematics, Statistics or a related technical field. Strong Python programming skills and hands-on experience with PyTorch and modern deep learning frameworks. Excellent understanding of machine learning algorithms, mathematical modelling and problem-solving techniques. Strong communication and collaboration skills, with the ability ...

Infrastructure Engineer/Model Deployment Engineer/AI Integration Engineer/Python/Large Language Models/LLM/LangChain/LangGraph/PyTorch/ONNX/ONNX Runtime/NumPy/pandas/Machine Learning/Artificial Intelligence/GPU Optimisation/Rust/ort/Model Inference/ ...

technical leadership Deep expertise in a relevant technical domain such as ML systems, data pipelines, backend engineering, or cloud infrastructure Hands‐on experience with PyTorch, TensorFlow, or similar ML frameworks Strong understanding of scalable APIs, cloud‐native systems, and modern engineering practices Experience creating Proof of Concepts and evaluating technical ...

BRING Production‐Level AI Expertise: Proven success building, deploying, and maintaining complex AI/ML solutions, modern AI frameworks (such as Python, TensorFlow, PyTorch, or LangChain), and cloud‐native AI platforms (AWS, Azure, or GCP). Distributed Systems Mastery: Deep technical capability in structuring data platforms, data pipelines, and high ...

BRING Production‐Level AI Expertise: Proven success building, deploying, and maintaining complex AI/ML solutions, modern AI frameworks (such as Python, TensorFlow, PyTorch, or LangChain), and cloud‐native AI platforms (AWS, Azure, or GCP). Distributed Systems Mastery: Deep technical capability in structuring data platforms, data pipelines, and high ...

/ML systems experience: fine‐tuning models, building inference pipelines, optimisation for latency/cost, evaluation of model performance; comfortable with TensorFlow, PyTorch, Triton and productionising ML. Technical depth and breadth: T‐shaped expertise in at least one area (ML infrastructure, backend systems, performance optimisation) with broad understanding across software ...

model prototyping to production deployment, integration, and ongoing monitoring. You are proficient in Python and its data/ML ecosystem (e.g. pandas, scikit-learn, PyTorch, TensorFlow), and you can apply statistical and machine learning techniques confidently in real-world settings. You have deployed models into live systems and understand ...

model prototyping to production deployment, integration, and ongoing monitoring. You are proficient in Python and its data/ML ecosystem (e.g. pandas, scikit-learn, PyTorch, TensorFlow), and you can apply statistical and machine learning techniques confidently in real-world settings. You have deployed models into live systems and understand ...

developing solutions with Large Language Models. Hands-on experience building applied ML models using Python and relevant libraries and frameworks (e.g., scikit-learn, XGBoost , PyTorch ). Desirable skills and experience: Experience designing evaluation frameworks for generative systems (e.g., LLM-as-a-judge, task-specific metrics). Experience with vector databases ...

model prototyping to production deployment, integration, and ongoing monitoring. You are proficient in Python and its data/ML ecosystem (e.g. pandas, scikit-learn, PyTorch, TensorFlow), and you can apply statistical and machine learning techniques confidently in real-world settings. You have deployed models into live systems and understand ...

infrastructure engineering experience, with at least 2 years in an ML or AI-adjacent role Strong Python skills and familiarity with major ML frameworks (PyTorch or JAX); comfortable reading and modifying model code Hands-on experience building and operating ML pipelines in production: data pipelines, training orchestration, evaluation, and serving ...

/Scrum delivery frameworks utilising JIRA/Confluence for project tracking/documentation purposes. Exposure to AI/ML frameworks such as TensorFlow or PyTorch along with practical experience deploying models into production environments; understanding model lifecycle management/monitoring processes. Previous involvement with transaction monitoring systems (e.g., Actimize), sanction ...

edge solutions. This role requires a proven record in delivering impactful ML/AI solutions and deep expertise in Python and modern frameworks like PyTorch and TensorFlow. The ideal candidate possesses strong communication skills and adaptability to thrive in fast-paced environments. Join a company backed by a major bank ...

Python, C++, or similar Experience with optimization, reinforcement learning, and/or large language models (LLMs) Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX) Experience with scalable system design and deployment in research or production environments Exposure to chip design or applied AI research ...

research firm, building ML models that power products and drive decision-making at scale. Build, train, and deploy machine learning models using Python, TensorFlow, PyTorch Work on supervised, unsupervised, and reinforcement learning problems Clean and process large datasets to extract insights and train algorithms Perform feature engineering to improve model ...