276 to 300 of 753 Remote TensorFlow Jobs

tuning, modelling and deploying LLMs - experience with RAG, IR, NER etc would also be very beneficial Strong programming skills (e.g., Python) and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, LangChain). Collaborating with other Researchers, Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback. Please apply below for immediate consideration More ❯

tuning, modelling and deploying LLMs - experience with RAG, IR, NER etc would also be very beneficial Strong programming skills (e.g., Python) and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, LangChain). Collaborating with other Researchers, Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback. Please apply below for immediate consideration More ❯

tuning, modelling and deploying LLMs - experience with RAG, IR, NER etc would also be very beneficial Strong programming skills (e.g., Python) and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, LangChain). Collaborating with other Researchers, Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback. Please apply below for immediate consideration More ❯

tuning, modelling and deploying LLMs - experience with RAG, IR, NER etc would also be very beneficial Strong programming skills (e.g., Python) and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, LangChain). Collaborating with other Researchers, Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback. Please apply below for immediate consideration More ❯

tuning, modelling and deploying LLMs - experience with RAG, IR, NER etc would also be very beneficial Strong programming skills (e.g., Python) and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, LangChain). Collaborating with other Researchers, Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback. Please apply below for immediate consideration More ❯

for the position, the following are important: Technical Ability A deep understanding of data science, analytics platforms/ML domains, especially GenAI and NLP. Experience with frameworks (eg. PyTorch, TensorFlow, or JAX) and LLM’s (e.g. prompt engineering, fine tuning, RAG). Experience building and fine-tuning various ML Models (supervised and unsupervised models, classification, clustering, regression etc) Hands … on experience with common ML libraries such as Hugging Face, XGBoost, PyTorch, TensorFlow) Track record of building and deploying ML models in production with ability to monitor and remediate model decay of production ML models. Can provide data driven executive insights and communicate effectively. SME knowledge of technology architectures & processes involved in the modelling of data Strong coding experience More ❯

Understanding of transfer learning and popular augmentation techniques Able to apply machine learning to real-life problems Vision Transformers, DeepLabv3, SegFormer, etc.Python, Scikit-Learn, NumPy, Pandas and PyTorch/TensorFlow/Keras Thrive in a cross-functional working environment Possess a clear passion for data science beyond the day job Nice-to-haves: On offer : Base salary of £85k More ❯

Understanding of transfer learning and popular augmentation techniques Able to apply machine learning to real-life problems Vision Transformers, DeepLabv3, SegFormer, etc.Python, Scikit-Learn, NumPy, Pandas and PyTorch/TensorFlow/Keras Thrive in a cross-functional working environment Possess a clear passion for data science beyond the day job Nice-to-haves: On offer : Base salary of £85k More ❯

about AI and machine learning. To excel in this position, you should possess many of the following: Strong understanding of machine learning algorithms and frameworks. Proven experience with Python, TensorFlow, PyTorch, or similar tools. Expertise in developing and deploying machine learning models in a production environment. Experience with data preprocessing, feature engineering, and model evaluation. Proficiency in handling large More ❯

quantitative fields. Solid professional experience in machine learning , data science , or applied AI roles. Excellent command of Python . Practical experience with at least one deep learning framework (e.g., TensorFlow , PyTorch ). Comfortable with Git and collaborative development workflows. Proven ability to translate theoretical research into operational AI solutions. Language requirements : Fluent English is sufficient; no other languages are More ❯

communication skills, with the ability to present complex ideas clearly Preferred: Experience in optimization, reinforcement learning, and/or large language models (LLMs) Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX) A strong publication record in top conferences (e.g., NeurIPS, ICML, ICLR, ACL) Why Join Us Work on groundbreaking AI research with real-world applications and a strong More ❯

communication skills, with the ability to present complex ideas clearly Preferred: Experience in optimization, reinforcement learning, and/or large language models (LLMs) Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX) A strong publication record in top conferences (e.g., NeurIPS, ICML, ICLR, ACL) Why Join Us Work on groundbreaking AI research with real-world applications and a strong More ❯

communication skills, with the ability to present complex ideas clearly Preferred: Experience in optimization, reinforcement learning, and/or large language models (LLMs) Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX) A strong publication record in top conferences (e.g., NeurIPS, ICML, ICLR, ACL) Why Join Us Work on groundbreaking AI research with real-world applications and a strong More ❯

communication skills, with the ability to present complex ideas clearly Preferred: Experience in optimization, reinforcement learning, and/or large language models (LLMs) Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX) A strong publication record in top conferences (e.g., NeurIPS, ICML, ICLR, ACL) Why Join Us Work on groundbreaking AI research with real-world applications and a strong More ❯

communication skills, with the ability to present complex ideas clearly Preferred: Experience in optimization, reinforcement learning, and/or large language models (LLMs) Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX) A strong publication record in top conferences (e.g., NeurIPS, ICML, ICLR, ACL) Why Join Us Work on groundbreaking AI research with real-world applications and a strong More ❯

best practices, including model versioning, CI/CD pipelines, containerization, and cloud deployment for large-scale models. Solid programming skills in Python and familiarity with machine learning frameworks like TensorFlow, PyTorch, Hugging Face Transformers, and MLOps tools (e.g., MLflow, Kubeflow). Strong analytical and problem-solving skills, with an aptitude for translating complex theoretical research into practical applications. Day More ❯

Nice-to-have: •Experience in optimization, reinforcement learning, and/or large language models (LLMs) •Experience in chip design and applied AI research •Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX) Why Join Us •Work on groundbreaking AI research with real-world applications and a strong commitment to open-source contributions and scientific advancement •Collaborate with a team More ❯

to junior data science team members. What We're Looking For Essential Skills Python : Advanced proficiency in data manipulation, machine learning, and data science libraries (e.g., pandas, scikit-learn, TensorFlow, etc.). SQL : Strong skills in querying large datasets and optimizing performance for analysis. Machine Learning : Proven hands-on experience with various techniques including regression, classification, clustering, and time More ❯

to junior data science team members. What We're Looking For Essential Skills Python : Advanced proficiency in data manipulation, machine learning, and data science libraries (e.g., pandas, scikit-learn, TensorFlow, etc.). SQL : Strong skills in querying large datasets and optimizing performance for analysis. Machine Learning : Proven hands-on experience with various techniques including regression, classification, clustering, and time More ❯

/PhD in Mathematics, Statistics, Computer Science or a related field. Proven experience designing or delivering large-scale pricing, AI or recommendation systems. Deep technical knowledge of ML frameworks (TensorFlow, PyTorch), cloud platforms (AWS, GCP, Azure), and big data tools (Spark, Hadoop). Demonstrated success in building business-critical, real-time algorithmic solutions. Strong communication and stakeholder engagement skills More ❯

focused experience, that’s a plus, but we’re open to junior candidates eager to learn. Tech Skills: Proficiency in Python , and experience with machine learning frameworks such as TensorFlow , PyTorch , or Scikit-learn . Healthcare Focus: Ideally, you have an understanding of healthcare data or a genuine passion for improving the health industry through AI. Collaborative Spirit: You More ❯

best practices, including model versioning, CI/CD pipelines, containerization, and cloud deployment for large-scale models. Solid programming skills in Python and familiarity with machine learning frameworks like TensorFlow, PyTorch, Hugging Face Transformers, and MLOps tools (e.g., Strong analytical and problem-solving skills, with an aptitude for translating complex theoretical research into practical applications. Day to Day Conduct More ❯

foundation in modern development practices such as Git, CI/CD pipelines, automated testing, relational databases, and API design. Proficiency in Python and experience with ML frameworks (e.g. PyTorch, TensorFlow). End-to-end AI development experience, including building and fine-tuning machine learning and generative models (e.g. LLMs), and designing scalable infrastructure to support production-ready AI applications. More ❯

a related field (Master’s preferred). 1+ year(s) of experience in AI, machine learning, or data science. Proficiency in Python and experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn . Strong understanding of data analysis , feature engineering , and model evaluation techniques, particularly with retail and consumer-facing data. Passion for AI and the retail More ❯

representation, ontology design and semantic or LLM based reasoning is desirable but not essential. Essential: Experience in software development in Python. Essential: Experience with at least one ML framework: TensorFlow, Pytorch. Ability to work in a secure environment is essential. Desirable: Experience with one or more graph machine learning packages (PyTorch-Geometric, PyKeen etc.) and knowledge graph toolkits (Neo4j More ❯