451 to 475 of 712 Remote TensorFlow Jobs

needs Implement and optimise ML solutions using Python, open-source tools & infrastructure Collaborate with cross-functional teams to enhance product features, based on client feedback Work with Python, PyTorch, Tensorflow, Kubernetes, Docker & cloud platforms Ideal Candidates have 5+ years of Backend (Python) Software Engineering experience in a fast-paced, high-growth, product environment, ideally as a Co-Founder or More ❯

needs Implement and optimise ML solutions using Python, open-source tools & infrastructure Collaborate with cross-functional teams to enhance product features, based on client feedback Work with Python, PyTorch, Tensorflow, Kubernetes, Docker & cloud platforms Ideal Candidates have 5+ years of Backend (Python) Software Engineering experience in a fast-paced, high-growth, product environment, ideally as a Co-Founder or More ❯

needs Implement and optimise ML solutions using Python, open-source tools & infrastructure Collaborate with cross-functional teams to enhance product features, based on client feedback Work with Python, PyTorch, Tensorflow, Kubernetes, Docker & cloud platforms Ideal Candidates have 5+ years of Backend (Python) Software Engineering experience in a fast-paced, high-growth, product environment, ideally as a Co-Founder or More ❯

Implement and optimise ML solutions using Python, open-source tools, and infrastructure. Collaborate with cross-functional teams to enhance product features based on client feedback. Work with Python, PyTorch, TensorFlow, Kubernetes, Docker, and cloud platforms. Ideal Candidates have 5+ years of Backend (Python) Software Engineering experience in a fast-paced, high-growth, product environment. Interest or experience with the More ❯

needs Implement and optimise ML solutions using Python, open-source tools & infrastructure Collaborate with cross-functional teams to enhance product features, based on client feedback Work with Python, PyTorch, Tensorflow, Kubernetes, Docker & cloud platforms Ideal Candidates have 5+ years of Backend (Python) Software Engineering experience in a fast-paced, high-growth, product environment, ideally as a Co-Founder or More ❯

needs Implement and optimise ML solutions using Python, open-source tools & infrastructure Collaborate with cross-functional teams to enhance product features, based on client feedback Work with Python, PyTorch, Tensorflow, Kubernetes, Docker & cloud platforms Ideal Candidates have 5+ years of Backend (Python) Software Engineering experience in a fast-paced, high-growth, product environment, ideally as a Co-Founder or More ❯

verbal and written communication skills in English (Dutch is an advantage). Experience with fiber optic measurement principles and/or interferometry is a plus. Experience with CUDA, PyTorch, TensorFlow, LabView skills is a plus. More ❯

eligibility to work in the UK without restrictions (no sponsorship available) Nice to have: Demonstrable experience with LLMs and strong understanding of AI/ML frameworks and familiarity with TensorFlow/PyTorch etc Degree educated in Computer Science/AI related subjects Previous experience in the Insurance industry Previous experience of working within Cyber Security environments Working knowledge of More ❯

Implement and optimise ML solutions using Python, open-source tools, and infrastructure. Collaborate with cross-functional teams to enhance product features based on client feedback. Work with Python, PyTorch, TensorFlow, Kubernetes, Docker, and cloud platforms. Ideal Candidates Have 5+ years of Backend (Python) Software Engineering experience in a fast-paced, high-growth, product environment, ideally as a Co-Founder More ❯

Implement and optimise ML solutions using Python, open-source tools, and infrastructure. Collaborate with cross-functional teams to enhance product features based on client feedback. Work with Python, PyTorch, TensorFlow, Kubernetes, Docker, and cloud platforms. Ideal Candidates Have 5+ years of Backend (Python) Software Engineering experience in a fast-paced, high-growth, product environment, ideally as a Co-Founder More ❯

open-source models. Solid Python programming skills with a focus on ML, NLP, deep learning, generative AI, and image/OCR processing. Hands-on experience with frameworks such as TensorFlow, PyTorch, Hugging Face, Spacy, OpenCV, Regex , or similar. Strong awareness of secure coding practices, production deployment, and API resilience. Nice to Have: Experience using PostgreSQL for data storage and More ❯

eligibility to work in the UK without restrictions (no sponsorship available) Nice to have: Demonstrable experience with LLMs and strong understanding of AI/ML frameworks and familiarity with TensorFlow/PyTorch etc Degree educated in Computer Science/AI related subjects Previous experience in the Insurance industry Previous experience of working within Cyber Security environments Working knowledge of More ❯

or a related field Strong proficiency in C++ and object-oriented design principles Proven experience in image processing, signal processing, and computer vision Familiarity with deep learning frameworks (PyTorch, TensorFlow, scikit-learn) Knowledge of CPU/GPU architecture and optimisation Experience with tools such as Visual Studio, gcc, CMake, Git, OpenCV, CUDA, Halcon, etc. Python or C# knowledge is More ❯

or equivalent research experience in industry or academia. Open to applicants across a range of seniority levels with relevant expertise. Core Skills: Proficiency with ML frameworks such as PyTorch, TensorFlow, or JAX. Experience in efficient ML techniques (e.g., quantization, pruning, sparsity, distillation). Practical knowledge of AI deployment on embedded/mobile platforms, including CPUs, GPUs, and NPUs. Hands More ❯

Generative Models, TTS, ASR, NLU), or equivalent industry experience. Deep expertise in voice conversion, generative models, deep learning, or statistical modeling. Strong hands-on experience with ML frameworks (PyTorch, TensorFlow, Keras). Proficiency in Python and C/C++. Experience with scalable data tools (e.g., PySpark, Kubernetes, Databricks, Apache Arrow). Proven ability to manage GPU-intensive data processing More ❯

versioning in compliant environments. Preferred Qualifications: Experience building ML models with wearable data (e.g., continuous heart rate, motion, respiration). Exposure to embedded AI or edge model deployment (e.g., TensorFlow Lite, Core ML, ONNX). Knowledge of healthcare data privacy and security (e.g., HIPAA, GDPR). Familiarity with GMLP (Good Machine Learning Practice) and clinical evaluation frameworks. The successful More ❯

production systems. Additional skills include leadership in agile environments, strong communication, mentorship abilities, expertise in RAG architectures, Transformer-based LLMs, model optimization, programming in Python with frameworks like PyTorch, TensorFlow, Hugging Face, LangChain, experience with containerization tools, cloud deployment (preferably Azure), and familiarity with databases and data platforms. OUR VALUES: CURIOSITY, OPTIMISM, AMBITION, EMPATHY We foster a team culture More ❯

open-source models. Solid Python programming skills with a focus on ML, NLP, deep learning, generative AI, and image/OCR processing. Hands-on experience with frameworks such as TensorFlow, PyTorch, Hugging Face, Spacy, OpenCV, Regex , or similar. Strong awareness of secure coding practices, production deployment, and API resilience. Nice to Have: Experience using PostgreSQL for data storage and More ❯

s degree (or equivalent) in Computer Science, Machine Learning, or a related field. 3+ years of experience deploying ML models in production. Proficient in Python and ML frameworks (e.g., TensorFlow, PyTorch). Experience working with cloud platforms and containerised deployments (e.g., Docker, Kubernetes). Solid grounding in computer vision and experience with large-scale data. Bonus: exposure to reinforcement More ❯

s degree in Data Science, Computer Science, Cybersecurity, or a related field. Technical Skills: Proficiency in programming languages such as Python or R. Experience with machine learning frameworks (e.g., TensorFlow, scikit-learn). Familiarity with cybersecurity concepts and tools. Analytical Skills: Strong ability to analyze complex datasets and derive actionable insights. Communication Skills: Excellent written and verbal communication skills More ❯

as Numpy and Pandas Extensive usage of MongoDB, BigQuery, data visualisation and manipulation tools Experience with designing, training, evaluating machine learning models Familiarity with the main AI frameworks (Pytorch, Tensorflow, scikit-learn) Appreciation of Test Driven Development, SOLID principles and optimisation techniques Interest in DevOps Benefits 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up More ❯

as Numpy and Pandas Extensive usage of MongoDB, BigQuery, data visualisation and manipulation tools Experience with designing, training, evaluating machine learning models Familiarity with the main AI frameworks (Pytorch, Tensorflow, scikit-learn) Appreciation of Test Driven Development, SOLID principles and optimisation techniques Interest in DevOps Benefits 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up More ❯

maths including strong trading knowledge in one asset class (Rates, Credit or FX). Strong level of coding experience in python and knowledge of ML tools/libraries like tensorflow/pytorch or pymc3. What You'll Do Write production level quantitative strategy in at least 1 business domain that impacts the positive revenue of a trading desk. Originate More ❯

environment. Strong background in systems integration and project management. Technical Skills: Proficiency in programming languages such as Python, R, and C++. Experience with AI frameworks and tools such as TensorFlow, Keras, and PyTorch. Knowledge of PLCs, SCADA systems, and industrial automation protocols. Analytical Skills: Strong analytical and problem-solving skills with the ability to interpret complex data and develop More ❯

is a rough guide): Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch. Understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques. Experience in Software Engineering including programming in Python. Technical experience More ❯