501 to 525 of 1,815 TensorFlow Jobs

Driven Platform : Build advanced AML/CTF transaction monitoring modules using both traditional statistical methods and modern ML techniques. Develop and deploy machine learning monitors using tools such as TensorFlow, OpenAI APIs, LangChain, Pytest, gRPC, and Python. Assist in implementing generative AI summarisation pipelines and agent communication protocols within a multi-agent system. Drive Deployment and ML Operations: Collaborate … experience in machine learning engineering or research. Strong coding skills in Python and working knowledge of SQL and cloud platforms (preferably Azure). Experience with ML frameworks such as TensorFlow or PyTorch. Understanding of ML lifecycles, including model training, validation, testing, and deployment. Exposure to tools such as LangChain, OpenAI, Alembic, and orchestration with Poetry and Mypy is a More ❯

deep understanding of machine learning techniques specific to time series analysis Technical Proficiency:Expertise in Python and SQL, with significant experience using time series libraries (e.g., Statsmodels, Facebook Prophet, TensorFlow Time Series) and cloud technologies (e.g., AWS S3/EC2) alongside CI/CD tools (GitHub Actions, Jenkins, AWS CodePipeline) Preferred Qualifications Leadership in Time Series Projects: Experience leading … time series forecasting and analysis, demonstrating the ability to mentor teams and manage cross-functional projects Deep Learning for Time Series:Advanced knowledge in applying deep learning techniques (using TensorFlow, PyTorch) to time series data, enhancing predictive accuracy and model complexity Ethical AI and Continuous Learning:A strong understanding of AI ethics and privacy considerations, especially in the context More ❯

of advanced AI and machine learning models, integrating plasma physics insights to innovate semiconductor solutions, such as plasma etch and deposition. Utilize Python libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) to architect and prototype cutting-edge ML systems, leveraging Linux environments. Able to expand programming expertise to other languages such as C++ and Java. Drive complex AI and … mid-scale development projects. Advanced proficiency in at least one of Python, C++, Fortran, Julia, or Java, with experience in AI/ML libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) and familiarity with Linux environments. Strong understanding of physics and engineering principles, ideally with plasma physics knowledge relevant to semiconductor processing. Exceptional communication and leadership skills to mentor More ❯

latest ML tools, trends, and best practices Requirements Proven experience as a Machine Learning Engineer or similar role Strong proficiency in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, XGBoost, etc. Hands-on experience with data pipelines, model training, evaluation, and deployment Solid understanding of statistics, data structures, and algorithms Familiarity with cloud platforms (e.g., AWS, GCP More ❯

in applied machine learning and data science. PhD or MSc in a related subject, Mathematics, Machine Learning, etc. Strong Python, SQL, and cloud-based ML framework expertise (AWS SageMaker, TensorFlow, PyTorch). Experience with real-time data processing. Knowledge of probabilistic modelling, optimisation, A/B testing. Knowledge of AdTech systems. Excellent problem-solving skills and ability to communicate More ❯

or a related field 12+ years of experience in software engineering, with a focus on machine learning or natural language processing Strong expertise in deep learning frameworks such as tensorFlow, pyTorch, or MXNet Proficiency in programming languages such as python, C++, or java Solid understanding of LLM architectures, training techniques, and evaluation methodologies Familiarity with cloud platforms (e.g., AWS More ❯

Technical Skills & Requirements: 5+ years of professional experience in software engineering Strong proficiency in Python and one additional language (e.g. C++, Java, Scala) Experience with ML frameworks (e.g. PyTorch, TensorFlow), and scientific libraries (NumPy, SciPy, scikit-learn) Familiarity with audio data (or video), able to handle large binary files Proven experience in at least one of: ML model deployment More ❯

Deep understanding of computer vision techniques for detection and localisation. Strong experience working with embedded or constrained compute platforms. Proficiency in Python and major machine learning frameworks (e.g., PyTorch, TensorFlow). Experience with version control (Git), containerisation (Docker), and cloud technologies (e.g., AWS). Experience with building and maintaining end-to-end ML pipelines. Degree (BSc, MSc, or PhD More ❯

experience in React/JavaScript Experience with version control, testing frameworks, and CI/CD pipelines Experience building ML pipelines and deploying models in production Familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn) Understanding of LLMs, vector databases, and retrieval systems Experience with Model Context Protocol (MCP) integration and server development Full-Stack Capabilities Experience building web applications with More ❯

a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field You have strong proficiency in Python, leveraging libraries like Prophet, TensorFlow, Keras, and PyTorch for LSTM, along with expertise in SQL and machine learning frameworks You have hands-on experience with leading time series forecasting techniques, including Prophet, ARIMA, and More ❯

4+ years of experience in building and deploying AI/ML models, preferably in an industrial or manufacturing setting. Strong experience with Python and libraries such as scikit-learn, TensorFlow, or PyTorch. Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps tools (MLflow, Kubeflow, etc.). Experience working with time-series, sensor data, and/or image data More ❯

on scalable deployment What We’re Looking For: 2+ years of experience building and deploying machine learning models Strong programming skills in Python and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Experience with model evaluation, tuning, and productionisation Exposure to cloud platforms (e.g., Azure, AWS, or GCP) and containerisation tools (e.g., Docker) A collaborative mindset, strong problem-solving skills More ❯

on scalable deployment What We’re Looking For: 2+ years of experience building and deploying machine learning models Strong programming skills in Python and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Experience with model evaluation, tuning, and productionisation Exposure to cloud platforms (e.g., Azure, AWS, or GCP) and containerisation tools (e.g., Docker) A collaborative mindset, strong problem-solving skills More ❯

on scalable deployment What We’re Looking For: 2+ years of experience building and deploying machine learning models Strong programming skills in Python and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Experience with model evaluation, tuning, and productionisation Exposure to cloud platforms (e.g., Azure, AWS, or GCP) and containerisation tools (e.g., Docker) A collaborative mindset, strong problem-solving skills More ❯

a related field. Experience or coursework in machine learning, deep learning, or AI techniques (e.g., supervised learning, neural networks, NLP). Proficiency in Python and libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face Transformers. Familiarity with data preprocessing, model evaluation, and deploying models in real-world environments. A passion for AI innovation and a desire to build systems More ❯

science, artificial intelligence, or a related field 5+ years of experience in AI development Strong understanding of AI principles, machine learning algorithms, and natural language processing Experience with Python, TensorFlow, and PyTorch Excellent communication and teamwork skills Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information Technology, Engineering, and Research More ❯

a related field. Experience or coursework in machine learning, deep learning, or AI techniques (e.g., supervised learning, neural networks, NLP). Proficiency in Python and libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face Transformers. Familiarity with data preprocessing, model evaluation, and deploying models in real-world environments. A passion for AI innovation and a desire to build systems More ❯

on scalable deployment What We’re Looking For: 2+ years of experience building and deploying machine learning models Strong programming skills in Python and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Experience with model evaluation, tuning, and productionisation Exposure to cloud platforms (e.g., Azure, AWS, or GCP) and containerisation tools (e.g., Docker) A collaborative mindset, strong problem-solving skills More ❯

Skills Essential Proven track record in the successful development and deployment of AI/ML-based tools. Strong command over Python and major ML frameworks such as Keras, PyTorch, TensorFlow, or Scikit-Learn. Extensive experience in building and implementing predictive models to design biological sequences and/or analyse biological sequence data (DNA, RNA or protein). Strong ability More ❯

very positively. Technical Requirements: Required: Strong foundation in machine learning algorithms, statistics, and data structures within relevant technical projects. Proficiency in programming languages, frameworks, and tools, such as Python, TensorFlow, PyTorch. Experience with data preprocessing, feature engineering, and model evaluation techniques. Highly Desirable: Experience working on aerospace-related projects Experience deploying MLOps solutions and working within CI/CD More ❯

on scalable deployment What We’re Looking For: 2+ years of experience building and deploying machine learning models Strong programming skills in Python and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Experience with model evaluation, tuning, and productionisation Exposure to cloud platforms (e.g., Azure, AWS, or GCP) and containerisation tools (e.g., Docker) A collaborative mindset, strong problem-solving skills More ❯

AI, including familiarity with technologies such as machine learning, deep learning, natural language processing (NLP), computer vision, and neural networks. Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch ) and LLMs (e.g., OpenAI, Hugging Face). Solid understanding of software architecture, design patterns, and system integration. Excellent problem-solving skills and the ability to work independently or More ❯

Establish guardrails for ethical and responsible AI usage Proven experience in enterprise architecture, projects specifically in AI/ML systems design • Deep understanding of AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and cloud platforms (AWS, Azure, GCP) • Strong experience with data architecture, pipelines and governance (e.g., data lakes, ETL, MLOps) • Knowledge of regulatory and ethical considerations in More ❯

if: You have strong foundational software engineering knowledge, including data structures, algorithms, system design, and OOP. You have advanced knowledge of LLM architectures and ML/DL frameworks (e.g., TensorFlow, PyTorch, LangChain, Keras, scikit-learn). You're ready to design, deploy, and maintain production-grade Machine Learning systems. You're willing to champion best practices in code quality More ❯

that make a real impact. Implementing MLOps best practices for seamless model deployment, monitoring, and iteration. What We’re Looking For: Strong Python skills – You know your way around TensorFlow, PyTorch, or Hugging Face. Experience with LLMs, NLP, or recommendation algorithms . Familiarity with MLOps, APIs, and scalable cloud solutions . Passion for AI-powered personalisation and making tech More ❯