76 to 100 of 158 Remote TensorFlow Jobs

advanced ML, VAE, GenAI frameworks and large-scale data modelling. • Proficiency in Python, R, or similar programming languages. • Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. • Strong knowledge of advanced statistical techniques and modern deep learning methods. • Expertise in pipeline workflow management tools like Nextflow or More ❯

ready code, architect packages, and make sound architectural and procedural choices for effective shared codebases • Python and scientific computing packages (pytorch, numpy, scikit-learn, tensorflow) • Database technologies such as ElasticSearch, Neo4j, and SQL • Excellent interpersonal, verbal, and written communication skills • A flexible attitude with respect to work assignments and … Learning Engineer experience working in a commercial environment is essential. • Advanced level experience with the following tools: Git, Github, scientific computing packages (pytorch, numpy, tensorflow), AWS or Azure cloud platforms, JIRA, Confluence, Docker • High level expertise in the use of Python is essential. • Experience producing high-quality code in More ❯

some of these, but if not we'll help you with them: Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration and More ❯

in government, intelligence community, or other relevant decision-making offices Proficiency in Python or other popular programming languages and machine learning frameworks ( e.g. PyTorch , TensorFlow) Experience working on AI research, ML model training, and/or model deployment Experience in high-intensity fast-paced environments and/or navigating More ❯

an experienced and talented Senior AI Scientist. Experience Required: Deep Learning experience, preferably with LLMs & NLP. Strong knowledge and experience with Python/Pytorch, Tensorflow and other data science libraries. Experienced with cloud platforms, e.g AWS or GCP is considered a plus. The role is hybrid in Cambridge, UK More ❯

an experienced and talented Senior AI Scientist. Experience Required: Deep Learning experience, preferably with LLMs & NLP. Strong knowledge and experience with Python/Pytorch, Tensorflow and other data science libraries. Experienced with cloud platforms, e.g AWS or GCP is considered a plus. The role is hybrid in Cambridge, UK More ❯

a problem-solving approach and a passion for getting things done. Bonus Points For: ✨ Specialisation in NLP, speech processing, or dialogue systems. ✨ Experience with TensorFlow, PyTorch, or similar frameworks. ✨ Background in question-answering or speech systems. 🎯 Ready to Shape the Future of AI in Mental Health? This role is More ❯

a problem-solving approach and a passion for getting things done. Bonus Points For: ✨ Specialisation in NLP, speech processing, or dialogue systems. ✨ Experience with TensorFlow, PyTorch, or similar frameworks. ✨ Background in question-answering or speech systems. 🎯 Ready to Shape the Future of AI in Mental Health? This role is More ❯

a problem-solving approach and a passion for getting things done. Bonus Points For: ✨ Specialisation in NLP, speech processing, or dialogue systems. ✨ Experience with TensorFlow, PyTorch, or similar frameworks. ✨ Background in question-answering or speech systems. 🎯 Ready to Shape the Future of AI in Mental Health? This role is More ❯

fine-tuning of AI models for real-world implementation. Candidate Requirements Strong Python programming skills, with experience in AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face. Extensive experience in NLP and Generative AI , including working with large-scale language models. Proficiency in AWS cloud computing , including More ❯

At least 3+ years in machine learning or AI-focused roles, ideally in a commercial setting. Technical Skills : Proficiency in Python and libraries like TensorFlow, PyTorch, scikit-learn . Strong understanding of machine learning algorithms, data pipelines, and model deployment. What’s on Offer: Very competitive salary and stock More ❯

At least 3+ years in machine learning or AI-focused roles, ideally in a commercial setting. Technical Skills : Proficiency in Python and libraries like TensorFlow, PyTorch, scikit-learn . Strong understanding of machine learning algorithms, data pipelines, and model deployment. What’s on Offer: Very competitive salary and stock More ❯

on with monitoring tools like Prometheus and Grafana Nice to have: Experience building Developer Experience (DevX) tools and workflows Familiarity with GPU setups (CUDA, TensorFlow, etc.) Strong networking and network security knowledge Linux/Unix skills and shell scripting A degree in Computer Science or a related field ✨ What More ❯

on with monitoring tools like Prometheus and Grafana Nice to have: Experience building Developer Experience (DevX) tools and workflows Familiarity with GPU setups (CUDA, TensorFlow, etc.) Strong networking and network security knowledge Linux/Unix skills and shell scripting A degree in Computer Science or a related field ✨ What More ❯

Engineers Hands-on ML development Qualifications Master's degree or PhD in computer science, statistics, math, physics, or similar through experience Experience with Python (TensorFlow/Keras/sklearn/PyTorch/) Previous experience in delivering ML projects High standards, disciplined, good communicator and team player Wanting to take More ❯

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 More ❯

of data architecture, data-modelling, and best practices in data engineering Proficient in Python and SQL; experience with data processing frameworks such as Airflow, TensorFlow, or Spark is advantageous Willingness to gain working knowledge of backend development (e.g., Python with Django) for pipeline integration Familiarity with data versioning, quality More ❯

including 1+ year in AI/ML and related areas. Strong programming skills in Python (or similar), with experience in ML frameworks like PyTorch, TensorFlow, or HuggingFace. Hands-on experience with LLMs, embeddings, vector databases, and prompt engineering. Familiarity with deploying models in production environments (Docker, Kubernetes etc.). More ❯

Skills: Formal training in machine learning and computer vision Coding experience in python Experience working with at least one deep learning framework (pytorch or tensorflow) A strong willingness to learn Highly collaborative mindset A strong interest for a product-centric organization Desirable Skills: Working knowledge of cloud computing (preferably More ❯

engineering). Strong background in machine learning, including experience with deep learning and/or generative models. Proficiency with modern ML frameworks (e.g., PyTorch, TensorFlow, or JAX). Strong coding skills (e.g., Python, C++) and a collaborative mindset. Familiarity with protein structure modelling, co-folding, or related structure-based More ❯

BI, Tableau) Desirable Experience of Microsoft Fabric Experience of Microsoft Dynamics Experience with data governance and compliance frameworks Proficiency in AI/ML frameworks (TensorFlow, PyTorch, MLflow) Knowledge of Agile and DevOps methodologies Other Stuff Benefits include 25 Days Annual Leave, Medical Insurance, Flexible Hybrid/Home Working More ❯

BI, Tableau) Desirable Experience of Microsoft Fabric Experience of Microsoft Dynamics Experience with data governance and compliance frameworks Proficiency in AI/ML frameworks (TensorFlow, PyTorch, MLflow) Knowledge of Agile and DevOps methodologies Other Stuff Benefits include 25 Days Annual Leave, Medical Insurance, Flexible Hybrid/Home Working More ❯

BI, Tableau) Desirable Experience of Microsoft Fabric Experience of Microsoft Dynamics Experience with data governance and compliance frameworks Proficiency in AI/ML frameworks (TensorFlow, PyTorch, MLflow) Knowledge of Agile and DevOps methodologies Other Stuff Benefits include 25 Days Annual Leave, Medical Insurance, Flexible Hybrid/Home Working More ❯

science, or applied AI, with hands-on experience in model development, evaluation, and deployment. Proficiency with relevant ML libraries and frameworks such as PyTorch, TensorFlow, scikit-learn, HuggingFace or similar. Experience with modern ML tooling, such as MLflow, Jupyter, feature stores, and vector databases. Understanding of software engineering best More ❯

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 More ❯