76 to 100 of 859 TensorFlow Jobs

make you stand out: Experience working in an analytics role in the gambling industry. Experience with CRM data analysis and customer segmentation. Knowledge of TensorFlow/PyTorch. Expertise in using data visualization tools such as Google Looker and working with Google's BigQuery. Experience in design and evaluation of More ❯

/or large language models Proven experience with cloud platforms such as AWS, Azure, or Google Cloud Familiarity with tools and frameworks such as TensorFlow, PyTorch, MLflow, SageMaker, or Databricks Deep understanding of data architecture, APIs, and model deployment best practices Knowledge of MLOps and full model lifecycle management More ❯

within the public sector, understanding unique challenges and compliance requirements (e.g., data security, privacy, etc.). Proficiency in Python and machine learning libraries (e.g., TensorFlow, PyTorch) with demonstrated experience in developing LLMs. Strong knowledge of natural language processing (NLP) techniques, including transformer architectures such as GPT, BERT, or similar. More ❯

libraries such as NLTK, spaCy, or Hugging Face Transformers. Familiarity with time-series databases and analysis tools. Knowledge of AI model serving frameworks like TensorFlow Serving or ONNX Runtime. Experience with AI ethics and bias mitigation techniques. Familiarity with GPU acceleration and distributed computing for AI workloads. Why Join More ❯

products or setting up and scaling MLOps platforms in global organizations. Technical Expertise: Strong understanding of AI/ML technologies, algorithms, and frameworks (e.g., TensorFlow, PyTorch, ONNX), as well as experience with AI/ML workload optimization and deployment. Deep expertise in data architecture and engineering principles, data modelling More ❯

products or setting up and scaling MLOps platforms in global organizations. ● Technical Expertise: Strong understanding of AI/ML technologies, algorithms, and frameworks (e.g., TensorFlow, PyTorch, ONNX), as well as experience with AI/ML workload optimization and deployment. Deep expertise in data architecture and engineering principles, data modelling More ❯

Skills required: Programming: Proficiency in Python (preferred) and/or other relevant languages (e.g., R, Java, C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills in Pandas, NumPy, and SQL for handling and analysing large datasets. Cloud Computing More ❯

Skills required: Programming: Proficiency in Python (preferred) and/or other relevant languages (e.g., R, Java, C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills in Pandas, NumPy, and SQL for handling and analysing large datasets. Cloud Computing More ❯

in biologics, bioinformatics, project management, and DevOps Proficiency in data science analysis libraries (e.g., pandas, numpy, scikit-learn) Experience with machine learning frameworks (e.g., TensorFlow, PyTorch). Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud ) and HPC environments Ability to translate complex scientific requirements into technical solutions Experience More ❯

for AI software and hardware integration. Define AI solution objectives and ensure alignment with business outcomes. Demonstrate deep knowledge of ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI More ❯

performance. Requirements: Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Bioinformatics, or related field. Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch). Experience with bioinformatics tools (e.g., Biopython, RDKit). Strong knowledge of statistical models, deep learning, and data preprocessing. Familiarity with cloud platforms More ❯

5+ years of experience in ML engineering, with at least 2 years in a leadership role. Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Strong experience with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker, Kubernetes). Experience gained in Tech for Good More ❯

science fundamentals (databases, software engineering, cloud computing especially AWS) and data science (machine learning processes). Proficiency in Python and frameworks such as PyTorch, TensorFlow, scikit-learn, with some knowledge of LangChain, RAGAS, and CI/CD. Growth mindset and eagerness to learn new challenges. Willingness to travel and More ❯

science fundamentals (databases, software engineering, cloud computing especially AWS) and data science (machine learning processes). Proficiency in Python and frameworks such as PyTorch, TensorFlow, scikit-learn, with some knowledge of LangChain, RAGAS, and CI/CD. Growth mindset and eagerness to learn new challenges. Willingness to travel and More ❯

with 4 years Proficiency in data science languages and tools (e.g., Python, R, SQL, Jupyter, Pandas, Scikit-learn) Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and big data platforms (e.g., Spark, Hadoop) Strong background in statistics, data modeling, and algorithm development Ability to explain complex data findings to More ❯

a related field. Proven experience in data science, machine learning, and AI model development. Strong knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, TensorFlow Extended). Proficiency in programming languages such as Python, R, or Java. Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g. More ❯

ML workloads. Strong proficiency with Docker, Kubernetes, and infrastructure automation (Terraform, CloudFormation). Solid programming skills in Python and familiarity with ML frameworks like TensorFlow, PyTorch . Experience designing CI/CD pipelines for ML workflows and deployment automation. Exposure to LLM Ops , including managing fine-tuning and deployment More ❯

ML workloads. Strong proficiency with Docker, Kubernetes, and infrastructure automation (Terraform, CloudFormation). Solid programming skills in Python and familiarity with ML frameworks like TensorFlow, PyTorch . Experience designing CI/CD pipelines for ML workflows and deployment automation. Exposure to LLM Ops , including managing fine-tuning and deployment More ❯

with Python, Jupyter demonstrated experience with Machine Learning, including model development, evaluation and optimization using tools and packages such as: sklearn, NumPy, PyTorch, or TensorFlow Exposure to/understanding of network data analysis (IP traffic)using Bro/Zeek, TShark/PyShark, or other network analysis tools Desired: Demonstrated More ❯

in prompt orchestration frameworks (e.g. LangChain, LlamaIndex) to enhance AI-driven applications. Strong programming skills in Python , with experience in frameworks such as PyTorch, TensorFlow, or JAX being a plus. Deep understanding of prompt engineering, LLM fine-tuning, and generative AI models . Experience in building and optimising knowledge More ❯

GCP. Experience in programming and/or scripting languages such as JavaScript, Python, C++, or Java. Experience with software development frameworks and tools (e.g., TensorFlow, PyTorch, Flask, Docker). Strong understanding of software engineering principles, including design patterns, data structures, and algorithms. Experience with DevOps tools and techniques for More ❯

deep learning, probabilistic modeling, and/or NLP. Proficiency in programming languages such as Python, R, or Julia, with experience using ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Familiarity with biological datasets such as genomic, transcriptomic, proteomic, or imaging data. Experience working with large-scale datasets and cloud More ❯

leading a team. Education: An MS degree in Machine Learning, Computer Science, or a related field is preferred. Key Technologies: Python Deep Learning Frameworks: Tensorflow, Keras, PyTorch NLP/Chatbot Technologies Cloud Platforms: AWS, Azure Graph Technology: Neo4j Why Join Us? High-Impact Work: Your work will directly impact More ❯

or a related field. Proficiency in programming languages like Python, R, or SQL for data manipulation. Experience building machine learning models using libraries like TensorFlow, PyTorch, or scikit-learn. Familiarity with cloud platforms like AWS, GCP, or Azure. Strong written and spoken English skills. Bonus Experience: Experience with big More ❯

you will bring: Essential: 5+ years of experience in data science, machine learning, or AI innovation. Strong coding skills in Python (e.g., Pandas, NumPy, TensorFlow, PyTorch) and SQL. Proven experience deploying ML models in production environments. 3+ years in a leadership or mentorship role within AI or data teams. More ❯