276 to 300 of 425 PyTorch Jobs

field. - Strong familiarity with Linux and the open-source ecosystem. - Proficient experience working with machine learning and large datasets. - In-depth understanding of open source machine learning frameworks (e.g., PyTorch, ggml, llama.cpp, vllm). - Experience building complex systems on the cloud. - Experience building and optimizing distributed systems and large-data applications, including those using tensor accelerators or GPUs. - Strong analytical 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 ❯

systems in environments with resource constraints or within safety-critical industries. Advanced proficiency in Python and C++ programming languages. Hands-on experience with leading machine learning frameworks like TensorFlow, PyTorch, or similar tools. Strong background in embedded systems and experience integrating computer vision algorithms into hardware platforms. In-depth knowledge of various sensors, including cameras, LIDAR, and RADAR, and their 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 ❯

GANs, Diffusion Models). Strong understanding of financial use cases: fraud detection, algorithmic trading, regulatory tech, and personalisation. Experience with cloud-native AI platforms (Azure, AWS, GCP) and frameworks (PyTorch, TensorFlow). Exceptional stakeholder management and communication skills. Track record of building and scaling high-performing AI teams. This role is an urgent requirement, there are limited interview slots left More ❯

and continuous learning. What We’re Looking For: 2–4 years of experience in machine learning, applied AI, or LLM research Strong Python skills and experience with libraries like PyTorch, LangChain, or LlamaIndex Experience designing and building ML pipelines for structured and unstructured data Familiarity with SQL/NoSQL and data wrangling Curiosity about large language models and enthusiasm for 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 ❯

maintain our real-time model serving infrastructure, utilising technologies such as Kafka, Python, Docker, Apache Flink, Airflow, and Databricks. Actively assist in model development and debugging using tools like PyTorch, Scikit-learn, MLFlow, and Pandas, working with models from gradient boosting classifiers to custom GPT-based solutions. gain a deep understanding of Simply Business's wider data ecosystem to build More ❯

delivery experience (Scrum, Kanban) and formal XP techniques. Infrastructure-as-code experience. Desirable Skills AWS AI and OCR services (e.g., Textract). Experience with Kubernetes/OpenShift/Docker. PyTorch If this sounds like the role for you then do not hesitate to get in touch with me, Lynne Strang, for more information or simply click on the apply button. More ❯

delivery experience (Scrum, Kanban) and formal XP techniques. Infrastructure-as-code experience. Desirable Skills AWS AI and OCR services (e.g., Textract). Experience with Kubernetes/OpenShift/Docker. PyTorch If this sounds like the role for you then do not hesitate to get in touch with me, Lynne Strang, for more information or simply click on the apply button. More ❯

science, or a related field, plus 3+ years of relevant experience. Demonstrated expertise applying deep learning to omics data at scale. Proficiency in Python and modern deep learning frameworks (PyTorch, JAX, or similar). Experience designing and operating data pipelines for genomics, transcriptomics, proteomics, or metabolomics. Solid grasp of causal inference, experimental design, and statistics. Familiarity with software engineering best More ❯

HW and SW design Developing and working with large software systems in programming languages like Python Knowledge of state-of-the-art deep learning libraries such as Tensorflow and Pytorch Training large deep learning models on powerful GPU-based systems, "Nice To Have" Skills and Experience: ML Model Optimization techniques targeted for resource constrained ARM edge compute platforms. In Return More ❯

models (LLMs) on distributed training infrastructures. Familiarity with evaluating and improving the generalizability and robustness of ML systems. Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX). Excellent communication skills to collaborate effectively with cross-functional teams and present findings. One or more papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats More ❯

others to succeed. "Nice To Have": Experience in Cybersecurity technology projects (Plus!). Experience in the development of ML/AI applications using state-of-the-art toolchains, i.e. Pytorch, TensorFlow (Plus!). Experience with HW and SW Architecture Modelling. Model-Based System Engineering, ISO 15288, MagicGrid Framework, SysML 2.0 (Plus!). Exposure and familiarity with Reliability methodologies. Knowledge of 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 ❯

Velocity-X is seeking a highly motivated and self-directed professional to fill the role of Artificial Intelligence (AI) Engineer to support our team in Northern Virginia. Responsibilities: Design, develop, and implement scalable AI/ML computing infrastructures and application More ❯

Machine Learning, Computer Science, Engineering, Statistics, or equivalent fields • Strong mathematical background (linear algebra, calculus, probability & statistics) • Experience with machine learning model training and analysis through open-source frameworks (Pytorch, Tensorflow, Sklearn) • Experience crafting, conducting, analyzing, and interpreting experiments and investigations. • Experience with modern software development tools and practices (Git, pull requests) • Experience analyzing model performance with relevant metrics and More ❯

AI Frameworks and Libraries AI frameworks and libraries play a crucial role in the development of artificial intelligence applications. Some popular frameworks and libraries include TensorFlow, PyTorch, and Scikit-learn. Programming Skills Strong programming skills are essential for AI development. Proficiency in languages such as Python, Java, or Scala is highly valuable in this field. Experience with Cloud-Based AI More ❯

improve performance. Stay updated on ML research to guide strategy. Requirements: Master's or PhD in a relevant field with strong ML foundations. Training ML models for production use. PyTorch or TensorFlow. Handling large datasets (multi-terabyte). Familiarity with Linux, version control, and CI/CD systems. Knowledge of model compression (e.g., reduced precision). More ❯

For 5+ years’ experience in high-level engineering roles. Proven track record building ML research pipelines in complex technical environments. Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure). Strong mathematical or statistical background. Background in AI-driven industries such as AI drug discovery, AdTech, ML health-tech, research labs More ❯

For 5+ years’ experience in high-level engineering roles. Proven track record building ML research pipelines in complex technical environments. Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure). Strong mathematical or statistical background. Background in AI-driven industries such as AI drug discovery, AdTech, ML health-tech, research labs More ❯