326 to 350 of 667 Remote TensorFlow Jobs

desirable but not essential. Familiarity with knowledge representation, ontology design and semantic or LLM based reasoning is desirable but not essential. 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 ❯

breakthroughs into scalable solutions Key Skills Required: LLM Experience : Production experience with GPT, Claude, LLaMA, including fine-tuning, prompt engineering, and deployment Python Proficiency : Strong skills with ML frameworks (TensorFlow, PyTorch) and LLM tools (Hugging Face, LangChain, OpenAI APIs) Vector Understanding : Solid knowledge of embeddings, vector databases (Pinecone, Weaviate, FAISS), and RAG pipelines NLP Fundamentals : Text preprocessing, language modelling More ❯

with user testing or co-design methods, in arts or health settings Experience with Image and/or audio-based AI development and familiar with libraries such as: SciPy, TensorFlow, PyTorch, Hugging Face Experience with Image and/or audio-based AI development Familiarity with research projects productivity timelines Knowledge of the peer review process for research projects and More ❯

with user testing or co-design methods, in arts or health settings Experience with Image and/or audio-based AI development and familiar with libraries such as: SciPy, TensorFlow, PyTorch, Hugging Face Experience with Image and/or audio-based AI development Familiarity with research projects productivity timelines Knowledge of the peer review process for research projects and More ❯

with UX researchers and designers to translate user needs into elegant front-end solutions AI Tool Development Develop and integrate AI/ML models into production systems using Python, TensorFlow, PyTorch, or similar frameworks. Build APIs and services that expose AI capabilities to internal and external consumers Data Tool Development Design and implement data pipelines, dashboards, and analytics tools More ❯

years managing technical teams (ML engineers, data scientists, or similar) Expert knowledge of ML fundamentals: supervised/unsupervised learning, time series, causal inference Experience with modern ML frameworks (PyTorch, TensorFlow, scikit-learn, CatBoost) Growth & Product Experience Experience with growth analytics, attribution modeling, or marketing effectiveness Understanding of user acquisition funnels and retention optimization Comfortable translating business requirements into technical 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 ❯

regulations. Qualifications Proven track record of developing and deploying LLM-based solutions in an enterprise setting as a senior/staff scientist. Proficiency in Python and libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and spaCy. Strong understanding of LLM architectures (e.g., GPT, BERT, T5) and experience fine-tuning them for specific tasks. Demonstrable experience in utilising different model More ❯

learning models, including Gradient Boosting Machines (GBMs), Neural Networks and Large language models (LLMs). Hands-on experience with popular machine learning libraries such as Scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch. Knowledge of AWS products and services including Sagemaker. Deep knowledge of Microsoft Excel in a commercial setting. You enjoy being Agile - you should be happy working with More ❯

learning models, including Gradient Boosting Machines (GBMs), Neural Networks and Large language models (LLMs). Hands-on experience with popular machine learning libraries such as Scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch. Knowledge of AWS products and services including Sagemaker. Deep knowledge of Microsoft Excel in a commercial setting. You enjoy being Agile - you should be happy working with More ❯

of software testing, benchmarking, and continuous integration Exposure to machine learning methodology and best practices Preferred but not must have: Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.) Education & Experience: 2–5 years experience building production-quality software. Bachelors or Masters degree and/or equivalent professional experience About Pandora Established in , Pandora designs, manufactures More ❯

Background in cybersecurity, with a strong emphasis on threat detection. Solid experience in machine learning and data science, proficient in both supervised and unsupervised algorithms and frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience working with large, real-world datasets that require pre-processing, data visualization, and a great dose of analytical skills. Preferred requirements: Undergraduate or postgraduate More ❯

At Peregrine, we???re constantly seeking Specialist Talent that offer the ideal mix of skills, experience, and attitude, to place with our vast array of clients. From Project Change Professionals in large government organisations to Software Developers in the private More ❯

development practices, covering Continuous Integration and Continuous Delivery (CI/CD), Test-Driven Development (TDD), SDLC, etc. Familiarity working within an agile team. Developing machine learning models (Python or TensorFlow). Familiarity with natural language processing or AI technologies (e.g. LLMs such as ChatGPT or BARD, Embeddings, Prompt Engineering). Experience with data pipelines and preferably processing of documents More ❯

and experimentation; Strong background in different areas of ML (traditional classification and regression techniques, recommender systems, text data, clustering, etc.); Solid experience with deep learning frameworks like PyTorch or TensorFlow; Excellent Python skills (beyond Jupyter Notebooks) - ability to build clean, testable, production-ready code; Familiarity with medical or life science data is a strong plus; Expertise in SQL, Pandas More ❯

with cloud AI services, model deployment, monitoring, and CI/CD pipelines for ML models (MLOps best practices). Example Tools & Technologies: Frameworks & Libraries: LangChain, Hugging Face Transformers, PyTorch, TensorFlow, Scikit-learn Agentic AI Tools: OpenAI GPT models, Crew,AI, Cohere, Pinecone (for vector databases), AutoGPT Data Engineering & ML Pipelines: Apache Airflow, MLflow, Kubeflow, dbt, Prefect Cloud & Deployment Platforms More ❯

including modeling of uncertainty Experience 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 complex organizational structures Aptitude for More ❯

to the position such as post doctoral roles, a proven track record of publications, or contributions to machine learning codebases. Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas Strong knowledge of linear algebra, calculus and statistics Experience working in a scientific environment across disciplines (particularly biology, chemistry, physics More ❯

or similar. Industry experience of ideally 3+ years within AI/Machine Learning. Experience of Swarming, Swarm Intelligence and/or Multi-agent systems. Python, C++, Java or Rust. TensorFlow, TensorFlow Lite, TensorRT, PyTorch, Scikit-Learn. ROS/ROS2, Real-time & Embedded Systems. Simulation tools such as Gazebo or Webots. Edge AI/Edge computing familiarity such as More ❯

or similar. Industry experience of ideally 3+ years within AI/Machine Learning. Experience of Swarming, Swarm Intelligence and/or Multi-agent systems. Python, C++, Java or Rust. TensorFlow, TensorFlow Lite, TensorRT, PyTorch, Scikit-Learn. ROS/ROS2, Real-time & Embedded Systems. Simulation tools such as Gazebo or Webots. Edge AI/Edge computing familiarity such as More ❯

project requirements and design optimised AI solutions. Preprocess and analyse visual data using OpenCV, scikit-learn, and scipy to extract meaningful insights. Train and fine-tune AI models using TensorFlow/Keras, PyTorch, PaddlePaddle, and other relevant frameworks to achieve high accuracy. Optimize AI models using OpenVINO for efficient inference on edge devices and cloud platforms. Implement data pipelines … roles. Strong proficiency in Python/C++ for AI model development and inference. Experience with OpenVINO, OpenCV, AWS, CVAT, scikit-learn, and scipy for visual AI applications. Proficiency in TensorFlow/Keras, PyTorch, and PaddlePaddle for model training and optimisation. Strong analytical and problem-solving skills with the ability to handle large-scale data. Experience working in Agile/ More ❯

applications. Conduct performance optimisation and 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 models. Proficiency in AWS cloud computing , including Athena, SageMaker, and related AI/ More ❯

years in a leadership role . Strong understanding of software architecture, design patterns, and cloud-native development (preferably AWS or GCP). Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face) and deploying models in production. Proficiency in building RESTful APIs, microservices, and working with asynchronous frameworks (e.g., FastAPI, asyncio). Familiarity with containerization (Docker, Kubernetes) and 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 Some 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 ❯