76 to 100 of 114 Remote PyTorch Jobs

infrastructure, and modern Python-based tooling. What You'll Be Working On: Building production-grade AI systems using LLMs , Object Detection , and OCR Leveraging frameworks like Hugging Face Transformers , PyTorch , YOLO , OpenCV , and Pillow Designing and deploying AI services via FastAPI , AWS Lambda , EKS/ECS , and S3 Creating scalable data pipelines with Pandas , NumPy , SQLAlchemy , and Airflow Supporting real More ❯

ability to communicate to a range of audiences. Nice to Haves Proficiency in a systems programming language (e.g., Go, C++, Java, Rust). Experience with deep learning frameworks like PyTorch or TensorFlow. Experience with large-scale data processing engines like Spark and Dataproc. Familiarity with data pipeline tools like dbt. Benefits Flexible Working Hours & Remote-First Environment - Work when and More ❯

industry experience Experience leading deep learning teams in a corporate setting, driving AI strategies, and delivering business impact Proficiency in AI/ML and deep learning frameworks such as PyTorch Proven knowledge of deep learning, AI and ML architectures Expert ability to identify business objectives and fashion analytic solutions around these objectives Preferred Qualifications Appreciation of ethical and regulatory considerations More ❯

complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers, and product teams to define model requirements and deployment strategies. Optimize model performance and scalability for production environments. Conduct experiments, evaluate model … research and techniques in deep learning. Required Skills & Experience: Proven experience in developing and deploying deep learning models in production. Strong proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps More ❯

complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers, and product teams to define model requirements and deployment strategies. Optimize model performance and scalability for production environments. Conduct experiments, evaluate model … research and techniques in deep learning. Required Skills & Experience: Proven experience in developing and deploying deep learning models in production. Strong proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps More ❯

complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers, and product teams to define model requirements and deployment strategies. Optimize model performance and scalability for production environments. Conduct experiments, evaluate model … research and techniques in deep learning. Required Skills & Experience: Proven experience in developing and deploying deep learning models in production. Strong proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps More ❯

complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers, and product teams to define model requirements and deployment strategies. Optimize model performance and scalability for production environments. Conduct experiments, evaluate model … research and techniques in deep learning. Required Skills & Experience: Proven experience in developing and deploying deep learning models in production. Strong proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps More ❯

complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers, and product teams to define model requirements and deployment strategies. Optimize model performance and scalability for production environments. Conduct experiments, evaluate model … research and techniques in deep learning. Required Skills & Experience: Proven experience in developing and deploying deep learning models in production. Strong proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps More ❯

quality, lineage, privacy, and security, ensuring our AI systems are developed and used responsibly and ethically. Tooling the Future: Get hands-on with cutting-edge technologies like Hugging Face, PyTorch, TensorFlow, Apache Spark, Apache Airflow, and other modern data and ML frameworks. Collaborate and Lead: Partner closely with ML Engineers, Data Scientists, and Researchers to understand their data needs, provide … Experience implementing data governance frameworks, ensuring data quality, privacy, and compliance, with an awareness of ethical AI considerations. Bonus Points If You Have: Direct experience with Hugging Face ecosystem, PyTorch, or TensorFlow for data preparation in an ML context. Experience with real-time data streaming architectures. Familiarity with containerization (Docker, Kubernetes). Master's or Ph.D. in Computer Science, Data More ❯

to surface high-value insights and opportunities for users. What We’re Looking For Proven experience delivering impactful AI/ML projects. Expertise in frameworks such as TensorFlow or PyTorch, and proficiency in Python. Familiarity with AI-first approaches and large language model integration. Some data engineering experience is a strong plus. Strong analytical and problem-solving skills. Excellent communication More ❯

to surface high-value insights and opportunities for users. What We’re Looking For Proven experience delivering impactful AI/ML projects. Expertise in frameworks such as TensorFlow or PyTorch, and proficiency in Python. Familiarity with AI-first approaches and large language model integration. Some data engineering experience is a strong plus. Strong analytical and problem-solving skills. Excellent communication More ❯

fine-tuning, prompt engineering and productionisation Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. Strong coding skills in Python, with frameworks such as PyTorch, FastAPI and Azure CLI. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment agency to this client. Please note that no terminology More ❯

fine-tuning, prompt engineering and productionisation · Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. · Strong coding skills in Python, with frameworks such as PyTorch, FastAPI and Azure CLI. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment agency to this client. Please note that no terminology More ❯

fine-tuning, prompt engineering and productionisation · Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. · Strong coding skills in Python, with frameworks such as PyTorch, FastAPI and Azure CLI. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment agency to this client. Please note that no terminology More ❯

month contract with the expectation of extending this as more funding is released. Keywords: AI, ML, RF, EM, GNN, Transformer, Autoencoder, Reinforced Learning, Multi-Modal AI, Sensor Fusion, Python, PyTorch, Radio Frequency, RF Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the More ❯

and/or ability to build without frameworks. Confident in client-facing settings: workshops, presentations, advisory roles. Preferred: Advanced degree in AI, Computer Science, or related field. Experience with PyTorch/TensorFlow, vector databases, RAG, and orchestration tools. Background in start-ups (hands-on generalist) or consultancies (client-facing). Exposure to regulated industries. Independent, entrepreneurial mindset; comfortable working with More ❯

technical direction, influencing peers, and delivering high-impact work without direct management responsibilities. Proven experience mentoring and coaching colleagues. Strong Python skills and experience with ML frameworks such as PyTorch, HF Transformers, TensorFlow, or JAX. Track record of end-to-end applied research and deploying transformer models. Deep knowledge of machine learning fundamentals and cloud deployment. Excellent communication skills with More ❯

Artificial Intelligence, Machine Learning, or a related scientific field, or equivalent industry experience. Strong programming skills, especially in Python, with hands-on experience using deep learning frameworks such as PyTorch or similar libraries. Proven experience applying classical and deep learning algorithms to biological problems, ideally in domains such as RNA design, optimization, and molecular modeling. Strong foundation in biology, biochemistry More ❯

pipelines, and you're comfortable taking a feature from concept to deployment. Machine Learning Engineering & Research: A comprehensive background in machine learning, with deep experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and a strong grasp of the underlying theory behind the models and techniques you use. Bonus Points: Experience with modern LLM orchestration frameworks (e.g., LangChain, LlamaIndex, DSPy More ❯

design and verification roles Linux - Essential for systems-level work Git, CI/CD tools (e.g. YAML, Terraform) - Common in DevOps and infrastructure roles Machine Learning Frameworks (e.g. TensorFlow, PyTorch) - Important for AI/ML roles Not every role requires all of these, but familiarity with at least one programming language (like Python or C++) and a collaborative toolset (e.g. More ❯

your tech lead and colleagues from the wider Data Science chapter at Lyst. We work mainly in Python using all the standard ML toolkits and frameworks (e.g. SKLearn, Tensorflow, Pytorch), and run our ML code in the AWS environment using Sagemaker where possible. We have a strong preference for clean, documented, well tested and reviewed code and have tooling and More ❯

benchmarks and user-defined success criteria. Essential Skills & Experience Proficient in Python, with hands-on experience using APIs and popular ML/AI frameworks such as Hugging Face, LangChain, PyTorch, or TensorFlow. Solid understanding of large language models (LLMs), prompt engineering, and vector database concepts. Proven ability to rapidly prototype, experiment, and iterate in agile or fast-moving environments. Familiarity More ❯

technologies like LLMs, OCR, object detection, and cloud-native deployments , contributing to scalable, production-ready solutions in a collaborative, agile environment. Responsibilities Build and deploy ML models using Transformers, PyTorch, YOLO, OpenCV , and more. Work with LLMs, image analysis, and object detection in real-world applications. Design and optimize APIs using FastAPI and integrate with external systems. Deploy scalable AI More ❯

OCR, object detection, and cloud-native deployments , contributing to scalable, production-ready solutions in a collaborative, agile environment. What You'll Do: Build and deploy ML models using Transformers, PyTorch, YOLO, OpenCV , and more. Work with LLMs, image analysis, and object detection in real-world applications. Design and optimize APIs using FastAPI and integrate with external systems. Deploy scalable AI More ❯

scale environments. NVIDIA Certified (Preferred). Required Skills Direct experience with GPU services, including resource provisioning, scaling, and optimization. Demonstrable expertise in GPU-accelerated software development (CUDA, OpenCL, TensorRT, PyTorch, TensorFlow, ONNX, etc.). Strong background in performance benchmarking, profiling (Nsight, nvprof, or similar tools), and workload tuning. Experience with Infrastructure as Code (Terraform, HELM Charts, or equivalent) for automated More ❯