26 to 50 of 147 Permanent PyTorch Jobs

services, healthcare). Track record of thought leadership (publications, patents, open source, or industry impact). Technical Excellence Expert Python and modern ML frameworks (PyTorch, TensorFlow). Strong experience with Generative AI tooling (e.g. LangChain, LangGraph or similar). Deep understanding of LLMs, prompt engineering, RAG, vector databases, evaluation ...

governance. Serve as athought leaderacross AI, ML, Data Engineering, and Business Transformation domains. Design and prototypeAI/ML and GenAI solutionsusing frameworks such as PyTorch, TensorFlow, LangChain, Hugging Face, and Vertex AI/Azure AI. Driveend-to-end architecture- from data ingestion and feature engineering to model deployment and monitoring. ...

driven AI practices What we’re looking for: Proven client-facing experience with strong stakeholder management Proficiency across Python or Java, ML frameworks (TensorFlow, PyTorch, scikit-learn), and cloud AI services Knowledge of agentic tools such as LangChain Agents, AutoGPT, and CrewAI, plus familiarity with GenAI/LLM integrations (e.g. ...

bias mitigation, with experience in implementing strategies to ensure air and unbiased AI solutions. • Serverless Computing and Distributed Systems • Deep Learning Frameworks (TensorFlow, PyTorch) • Innovation and Emerging Technology Trends • Strategic AI Vision and Roadmapping • Enthusiastic about working in a fast-paced environment using the latest technologies, and passionate about ...

Required Skills: Experience in data science, machine learning, or applied analytics Strong proficiency in Python and common ML libraries (pandas, NumPy, scikit‐learn, TensorFlow, PyTorch) Experience designing, training, and evaluating machine‐learning models Solid understanding of statistical methods, predictive modelling, and experimental design Experience working with large or complex datasets ...

considered) Experience with CI/CD pipelines for ML/DL models Proficiency in Python and common ML libraries (e.g. Scikit-learn, TensorFlow, PyTorch) Experience with container technologies (Docker, Kubernetes) Consultancy or client-facing experience preferred Strong communication and stakeholder management skills Qualifications IT/Technology-related degree (e.g. Computer ...

considered) Experience with CI/CD pipelines for ML/DL models Proficiency in Python and common ML libraries (e.g. Scikit-learn, TensorFlow, PyTorch) Experience with container technologies (Docker, Kubernetes) Consultancy or client-facing experience preferred Strong communication and stakeholder management skills Qualifications IT/Technology-related degree (e.g. Computer ...

Machine Learning Engineer , ideally within Financial Services, FinTech, or a regulated environment Strong Python skills and hands-on experience with ML libraries (TensorFlow, PyTorch, scikit-learn) Experience deploying and supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud ...

Data Science, AI, Statistics, or related field Strong programming skills in Python (and optionally R, Java, or C++) Knowledge of ML frameworks like TensorFlow, PyTorch, or scikit-learn Eagerness to learn, curiosity, and a problem-solving mindset Nice to Have Cloud experience (AWS, GCP, Azure) Familiarity with MLOps tools (Docker ...

have the following skills and experience: Strong Python and SQL experience, ideally with Databricks Experience with ML and LLM tools (e.g., scikit learn, XGBoost, PyTorch, TensorFlow, RAG, APIs) Comfortable with data engineering basics and MLOps practices Experience working with cloud platforms such as Azure, AWS, or GCP Benefits The successful ...

related field Strong software engineering skills: clean code, testing, debugging, version control, and system design Proficiency in Python with experience in ML frameworks (PyTorch, TensorFlow, or JAX) Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker, Kubernetes) Solid understanding of ML fundamentals (model training, evaluation, common ...

learning solutions for personalizing recommendations. Hands-on experience building training frameworks and/or serving large-scale models using tools such as Tensorflow or PyTorch is a plus. You stay up-to-date with the state-of-the-art open source infrastructure solutions applicable to designing and improving large scale ...

learning solutions for personalizing recommendations. Hands-on experience building training frameworks and/or serving large-scale models using tools such as Tensorflow or PyTorch is a plus. You stay up-to-date with the state-of-the-art open source infrastructure solutions applicable to designing and improving large scale ...

scenarios, estimate the time, cost and outcomes of different solutions, and apply effective risk management to ensure prompt delivery Deep experience in Python and PyTorch/TensorFlow. Industry experience in building scalable, production-grade AI services and automated data pipelines with tools like Docker, Kubernetes, and cloud platforms (e.g. ...

model serving, versioning, and lifecycle management Lead documentation, knowledge transfer, and mentoring to upskill internal teams Technical requirements Strong Python and ML frameworks (PyTorch, TensorFlow) MLOps tooling (MLflow, Kubeflow or similar) Databricks Docker, Kubernetes, CI/CD pipelines Cloud platforms (AWS, Azure or GCP); Terraform experience preferred Financial services experience ...

best practices for deploying ML at scale Key skills & experience: • Strong Python and software engineering fundamentals • Experience operationalising ML models (e.g. Scikit-learn, TensorFlow, PyTorch) • Hands-on cloud experience (AWS, Azure or GCP), including security considerations • Containerisation and orchestration (Docker, Kubernetes) • Solid grounding in core ML concepts, probability, and statistics ...

Implement experiment tracking and monitoring Collaborate with data scientists and engineers What We're Looking For: Proficiency in Python and ML frameworks (scikit-learn, PyTorch, TensorFlow) Hands-on experience with AWS ML services (SageMaker, Lambda) Familiarity with containerisation (Docker) and orchestration (Kubernetes/ECS) Knowledge of LLMOps and GenAI tools ...

recommendation systems, optimisation, or marketing analytics. Deep understanding of ML fundamentals across the full lifecycle. Hands‐on experience with ML frameworks (scikit‐learn, XGBoost, PyTorch, TensorFlow, LightGBM). Strong exposure to LLMs, prompt engineering, RAG, and evaluation frameworks. Familiarity with MLOps tooling: CI/CD, experiment tracking, model registries, monitoring ...

learning engineering, MLOps, or data engineering. Strong programming skills in Python and familiarity with Java is a plus. Experience with ML frameworks and libraries (PyTorch, TensorFlow, XGBoost, LightGBM, etc.). Solid knowledge of distributed data processing systems (Spark, Flink, Hadoop) and query languages (SQL/HiveQL). Hands on experience ...

GenAI/LLM systems. Expertise in building agentic AI systems, multi-agent orchestration, or advanced reasoning pipelines. Strong proficiency in: Python ML frameworks (PyTorch, TensorFlow) LLM frameworks (LangChain, LlamaIndex, DSPy preferred) Vector databases (Pinecone, Weaviate, FAISS) Cloud platforms (Azure/AWS/Google Cloud Platform) MLflow or equivalent for MLOps ...

achieve reliable results. True ML Fundamentals: You aren't limited to APIs. You have a background in training and evaluating models (TensorFlow/PyTorch/Keras/Scikit-learn) and know when a simple classifier is better than a generative model. Data Fluency: You understand how to build datasets from ...

technical audiences Your Skills & Experience 8+ years in Machine Learning Engineering or similar senior roles Strong Python skills; experience with deep learning frameworks (TensorFlow, PyTorch) Solid understanding of ML algorithms, statistics, and data modelling Experience with large‐scale data tools (Hadoop, Spark, Kafka) Cloud & MLOps experience (AWS, Azure ...

technical audiences Your Skills & Experience 8+ years in Machine Learning Engineering or similar senior roles Strong Python skills; experience with deep learning frameworks (TensorFlow, PyTorch) Solid understanding of ML algorithms, statistics, and data modelling Experience with large-scale data tools (Hadoop, Spark, Kafka) Cloud & MLOps experience (AWS, Azure ...

across the organisation Supporting a move towards a product-aligned, hub-based operating model Technology Stack Cloud-first environment with Microsoft Azure Fabric Python, PyTorch SQL Apache Spark Azure Data Factory (ADF) Git What We’re Looking For 3–4 years’ experience in AI/ML engineering, data engineering ...

Looking For Strong academic background in Computer Science, ML, AI, or a related field. Deep hands-on experience with Python and ML frameworks (PyTorch, TensorFlow, Hugging Face). Proven background in MLOps, including model versioning, CI/CD for ML, and production monitoring. Experience building robust backend systems and APIs ...