26 to 50 of 161 Permanent TensorFlow Jobs

track record of building and maintaining production‐quality systems. Expert‐level Python experience with numerical, statistical, or ML libraries (e.g. NumPy, pandas, PyTorch, JAX, TensorFlow). Deep understanding of statistical modelling, optimisation, or machine‐learning techniques. Experience building and operating backend systems and data pipelines in a cloud environment ...

clean, efficient code for AI/ML solutions. Hands-on experience, through study, internships, or personal projects, with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch). Exposure to supporting the deployment of AI/ML models, working alongside engineering colleagues. Some exposure to generative AI concepts and tools ...

models to production and supporting them post-deployment.* Strong Python programming skills, including object-oriented design and proficiency with key ML libraries (e.g., PyTorch, TensorFlow, Scikit-Learn).* Solid understanding of probability and statistical modeling to support robust model development and interpretation.* Experience with cloud platforms (especially Azure ...

datasets to generate actionable insights that inform business and product decisions Desirable: Hands-on coding and prototyping experience in AI/ML development (Python, TensorFlow, PyTorch) Experience with proof-of-concept development and technical validation of new AI technologies Background in data science or machine learning engineering with ...

/or Azure including managed ML services, scalable inference infrastructure, and vector stores. Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain, LlamaIndex, or equivalents). Enterprise AI Architecture: Designing AI systems for regulated production environments: data security, model explainability ...

/or Azure including managed ML services, scalable inference infrastructure, and vector stores* Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain, LlamaIndex, or equivalents)* Enterprise AI Architecture: Designing AI systems for regulated production environments: data security, model explainability, audit ...

/Linux, 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. You should be aware of the broad landscape of machine learning applications, tools ...

Science, Machine Learning, Data Engineering, or Software Engineering roles Strong production Python experience Hands‐on experience training and serving ML models Familiarity with PyTorch, TensorFlow, or scikit‐learn Strong working knowledge of Docker, Linux, Git, and cloud platforms (AWS, Azure, or similar) Experience deploying systems you’ve helped design ...

emerging technologies including Generative AI and Large Language Models. Required Experience: Commercial AI or Machine Learning experience. Strong Python and SQL skills. Experience with TensorFlow, PyTorch or similar frameworks. Understanding of machine learning and model deployment. Experience with Azure, AWS or GCP. Knowledge of data pipelines, ETL and MLOps. ...

field. Multiple years experience of delivering novel ML solutions to customers and internal stakeholders. Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices. Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment. Experience of appropriate version control ...

stakeholder management skills. \* Advanced Analytics Techniques: Experience with advanced analytics techniques for structured data, including proficiency in Python and AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face. \* NLP and ML Methods: Deep understanding of Natural Language Processing (NLP) and Machine Learning (ML) methods for unstructured content, with ...

vector databases or the MCP protocol. Deep understanding of LLMs, prompt engineering, model evaluation, and fine-tuning strategies. Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP). Experience with AI infrastructure components including model gateways, orchestration layers, and observability tools. Familiarity with ...

delivering production data science, machine learning or AI in an enterprise environment. Practical experience in Python and modern machine learning frameworks such as PyTorch, TensorFlow or Keras. Practical experience with generative AI, large language models, embedding models, retrieval augmented generation, AI agents, model evaluation and fine‐tuning techniques. Experience ...

integrations — with a strong focus on GenAI, NLP, computer vision, and multimodal AI applications. Leverage deep knowledge of AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and enterprise architecture best practices (e.g., microservices, APIs, cloud-native design). AI & Data Platform Architecture/Deployment: Architect robust, secure ...

solutions Keep up to date with emerging AI technologies and help shape technical direction You'll likely have experience with: Python and SQL TensorFlow, PyTorch or similar ML frameworks Large Language Models and NLP AWS or Azure Predictive modelling and machine learning Building production-ready AI applications Communicating technical ...

What you’ll need Confirmed experience in leading data science projects in cybersecurity, fraud, or behavioural analytics. Deep expertise in Python, ML frameworks (e.g. TensorFlow, PyTorch), and cloud platforms (preferably GCP). Strong grasp of anomaly detection, time‐series modelling, and deep learning architectures. Experience with LLMs and generative ...

ownership of key lifecycle stages: data collection, modeling, evaluation, deployment, and monitoring. Proficiency in Python and modern ML and agentic frameworks such as PyTorch, TensorFlow, or LangChain, with experience packaging models into APIs or integrating them into applications. A solid understanding of LLMs for natural language processing applications, including ...

PySpark experience. Experience with NLP and/or computer vision techniques (where relevant to Trust priorities). Experience using deep learning frameworks such as TensorFlow or PyTorch. Personal Attributes Essential Highly organised, with the ability to manage competing priorities and work to deadlines. Proactive, collaborative and adaptable, with ...

experience with healthcare-specific ML challenges (imbalanced datasets, missing data, temporal dependencies) Technical Stack & MLOps Proficiency in Python (scikit-learn, pandas, PyTorch/TensorFlow) and SQL for large-scale data analysis Experience with modern data platforms (Snowflake, Databricks, or similar cloud data warehouses) Demonstrated MLOps capabilities using tools like ...

Learning Algorithms: Familiarity with various machine learning algorithms like linear regression, decision trees, SVM, etc. Experience with Deep Learning Frameworks: Experience with frameworks like TensorFlow, PyTorch, or Keras. Familiarity with Natural Language Processing: Understanding of NLP techniques and libraries like NLTK, SpaCy, etc. Knowledge of Cloud Platforms: Experience with ...

ICLR) with specific focus on agent systems, tool use, or multi‐agent coordination. Familiarity with one or more deep learning frameworks (e.g. pytorch, jax, tensorflow, ...) Experience in ML Research beyond completing a PhD (e.g. supervision, industry experience, leading academic initiatives, ...). Excellent communication skills to report ...

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 ...

data 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 ...

workstream within a larger program PREFERRED QUALIFICATION Hands‐on experience with cloud platforms (AWS, Azure, GCP) Experience in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow) Practical experience with NLP and/or Search techniques Prompt engineering, and LLMs ...

cloud environment. PREFERRED QUALIFICATION Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch). Experience working with language models like LLM APIs and optimizing their usage for specific applications. Experience with programming languages: Python, C++, Java, R, SQL. ...