176 to 200 of 231 Remote TensorFlow Jobs

team setting, including code reviews and setting software engineering best practices Hands‐on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers, including training deep learning models on GPUs or GPU clusters. Experience working with structured and unstructured data, such as text ...

learning techniques, with hands-on experience in probabilistic methods and predictive modelling. Expertise in python, along with proficiency in libraries like NumPy, SciPy, Pandas, TensorFlow and PyTorch, is essential, with the ability to deploy scalable, production-ready models and data pipelines. With at least 1 year industry experience (post ...

that drive the AI product roadmap forward. Tech Stack Includes: AWS: EC2, Athena, S3, Kinesis, Lambda, Step Functions, RDS, QuickSight Languages & Frameworks: Python, Spark, TensorFlow, LLMs & LLM coding tools Databases & Search: MySQL, PostgreSQL, SOLR Experience: Minimum 3 years of post-degree commercial experience in a data science or machine ...

application: 30th June 2024 Start Date: 1st August 2024 Key Responsibilities AI Model Development: Design, develop, and train machine learning models using frameworks like TensorFlow, PyTorch, or scikit-learn. Fine-tune and optimize models for performance and scalability. Software Development: Write clean, maintainable, and efficient code in programming languages … highly desirable. Technical Skills Proficiency in programming languages such as Python, Java, or C++. Hands-on experience with AI/ML frameworks like TensorFlow, PyTorch, or scikit-learn. Strong understanding of algorithms, data structures, and software design principles. Experience with cloud platforms (AWS, Google Cloud, Azure) and containerization technologies ...

EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of ...

retrieval systems and domain-specific tools. Qualifications include a degree in CS or related field, strong Python, and experience with PyTorch/JAX/TensorFlow; familiarity with agentic AI concepts and RL is essential. #J-18808-Ljbffr ...

understanding of AI/ML platforms e.g.Azure AI Foundry and their operational management. Hands on experience with AI frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Experience working with cloud platforms, ideally Azure. Call to Action If this role seems of interest then we'd love ...

Modelling Language Excellent communication skills Desirable Skills: Experience in the development of computer vision related products and services. Experience with visual processing libraries OpenCV, TensorFlow, PyTorch etc. Experience in personnel management Experience operating as part of a multidisciplinary team Experience developing and/or implementing reference architectures Experience ...

Modelling Language Excellent communication skills Desirable Skills: Experience in the development of computer vision related products and services. Experience with visual processing libraries; OpenCV, TensorFlow, PyTorch etc. Experience in personnel management Experience operating as part of a multidisciplinary team Experience developing and/or implementing reference architectures Experience ...

underpinned by high mathematical and statistical competence. You are a strong Python programmer, proficient in essential libraries (NumPy, Pandas) and a deep-learning framework (TensorFlow/PyTorch). You possess a solid grasp of core data science techniques (supervised/unsupervised learning, time-series, NLP, model validation ...

with strong execution, and experience mentoring others on a fast‐moving, applied research team. Strong coding and experimentation skills (Python, PyTorch/JAX/Tensorflow), and the ability to communicate clearly and align research with product and engineering priorities. Nice to have Demonstrated experience fine‐tuning and training large ...

days remote arrangement. The ideal candidate holds a Ph.D. in a relevant field, with strong NLP/ML expertise, publications, and experience with PyTorch, TensorFlow and Scikit-Learn, plus data science work on large datasets. #J-18808-Ljbffr ...

with a focus on classic ML methods and NLP applications. The position requires a PhD and strong publication record, with experience in PyTorch/TensorFlow/Scikit-Learn, and a track record of large-scale data experiments. Hybrid work with some office days in Cambridge. #J-18808-Ljbffr ...

ensuring ethical AI practices. The ideal candidate will have over 5 years of experience in AI systems, proficiency in Python and frameworks like TensorFlow, as well as expertise in NLP and deep learning. This position offers generous benefits and a hybrid work model. #J-18808-Ljbffr ...

data processing. The role requires a strong foundation in AI/ML, a degree in CS or engineering, and hands-on experience with PyTorch, TensorFlow, and scalable pipelines, plus awareness of #J-18808-Ljbffr ...

years focused on AI/ML security Strong Python and Java programming skills Hands-on experience with ML frameworks such as PyTorch or TensorFlow Familiarity with AI tooling (LangChain, LlamaIndex, red-teaming toolkits) Proven ability to assess and secure AI systems end-to-end Nice to Have Master ...

success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding of statistical analysis and probability theory. ...

success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding of statistical analysis and probability theory. ...

quantisation, graph optimisation, operator fusionandprecision reduction Experience across multiple ML frameworks, model formats and inference runtimes, such as PyTorch, ONNX/ONNX Runtime, ExecuTorch, TensorFlow/LiteRT and OpenVINO. Experience analysing, profiling and debugging ML workloads, including model compatibility, performance and the trade-offs between latency, memory, model size ...

gained while building machine learning inference engines, runtime systems, or backend integration frameworks. Experience working with a machine learning inference framework such as LiteRT, TensorFlow Lite, ONNX Runtime, or a similar technology is also important. A good understanding of how AI models execute in practice is essential, including graph ...

quantisation, graph optimisation, operator fusionandprecision reductionExperience across multiple ML frameworks, model formats and inference runtimes, such as PyTorch, ONNX/ONNX Runtime, ExecuTorch, TensorFlow/LiteRT and OpenVINO.Experience analysing, profiling and debugging ML workloads, including model compatibility, performance and the trade-offs between latency, memory, model size and accuracy.A ...

gained while building machine learning inference engines, runtime systems, or backend integration frameworks. Experience working with a machine learning inference framework such as LiteRT, TensorFlow Lite, ONNX Runtime, or a similar technology is also important.A good understanding of how AI models execute in practice is essential, including graph processing ...

mathematics, physics, computer science, or a related field. Deep practical experience in Python and at least one modern machine learning framework such as PyTorch, TensorFlow, or JAX, experience working with large compute clusters and ML infrastructure is a plus. A track record of leading self-directed research projects that ...

mathematics, physics, computer science, or a related field.Deep practical experience in Python and at least one modern machine learning framework such as PyTorch, TensorFlow, or JAX, experience working with large compute clusters and ML infrastructure is a plus.A track record of leading self-directed research projects that go well ...

debugging pipelines, and who can carry research results through to production with engineering. Strong coding and experimentation skills (Python, PyTorch/JAX/Tensorflow). Ability to communicate clearly, collaborate across teams, and align research work with product and engineering priorities. Nice to have Experience quantifying uncertainty in large ...