ML models and LLMs in cloud and local environments. Strong programming skills in Python including its ecosystem for AI/ML, including libraries like PyTorch, Hugging Face Transformers, scikit-learn and Tensorflow. Extensive hands-on experience with cloud-based architectures and distributed systems, building scalable, reliable, and secure solutions. Demonstrated More ❯
a detailed breakdown of all the technologies we use: Backend: Python Frontend: Typescript and React Kubernetes for deployment GCP for underlying infrastructure Machine Learning: PyTorch, CUDA, Ray We encourage people from all backgrounds, cultures, and skill levels to apply. It is okay to not meet all requirements listed as we More ❯
get in touch with me to review the details around this offer: Experience with: - Designing CNNs, RNNs - Training using gradient and RL based learning - Pytorch preferably, Tensorflow and Keras OK - 3D physics simulations - Python Comfortable with: - Working in 3D - Computer graphics concepts: meshes, point clouds, rendering - Computer vision concepts Nice More ❯
get in touch with me to review the details around this offer: Experience with: - Designing CNNs, RNNs - Training using gradient and RL based learning - Pytorch preferably, Tensorflow and Keras OK - 3D physics simulations - Python Comfortable with: - Working in 3D - Computer graphics concepts: meshes, point clouds, rendering - Computer vision concepts Nice More ❯
related research experience in academia or industry • We will consider various levels of experience in relevant research areas Key Skills: • Experience with ML frameworks (PyTorch, TensorFlow, JAX) and efficient ML (incl. quantization, pruning, sparsification, distillation, etc.) • Experience with deployment on embedded/mobile devices (such as smartphones, with mobile CPU More ❯
hands-on experience in deep learning (ideally in computer vision or 3D-related areas) ✅ Strong Python + debugging skills ✅ Experience designing & training models in PyTorch or TensorFlow ✅ Good understanding of C++ ✅ Interest/experience in the video, games or film industry Bonus if you have: GitHub, papers, or personal projects More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Harnham
hands-on experience in deep learning (ideally in computer vision or 3D-related areas) ✅ Strong Python + debugging skills ✅ Experience designing & training models in PyTorch or TensorFlow ✅ Good understanding of C++ ✅ Interest/experience in the video, games or film industry Bonus if you have: GitHub, papers, or personal projects More ❯
london, south east england, united kingdom Hybrid / WFH Options
Harnham
hands-on experience in deep learning (ideally in computer vision or 3D-related areas) ✅ Strong Python + debugging skills ✅ Experience designing & training models in PyTorch or TensorFlow ✅ Good understanding of C++ ✅ Experience in the creative industries - e.g, video, games or film industry Bonus if you have: GitHub, papers, or personal More ❯
PyTest (or similar) Familiarity with modern DevOps practices (CI/CD pipelines, Docker, etc) 🌟 Nice to have: Exposure to ML frameworks like TensorFlow or PyTorch (not essential) Experience in e-commerce or retail tech environments This is a hybrid role, so candidates must be based within a commutable distance to More ❯
industry experience in machine learning, including deep learning and/or generative models. A working knowledge and practical experience with modern ML frameworks (e.g., PyTorch, TensorFlow, or JAX). Key Words: Machine Learning/Drug Discovery/Computational Chemistry/Structural Biology/AI Techniques/Protein-Ligand Interaction/ More ❯
Strong proficiency in C/C++ and Python Deep understanding of computer vision , image processing , and machine learning Experience with libraries like OpenCV , TensorFlow , PyTorch , or Jetson Hands-on experience with embedded systems , real-time processing , and HW/SW integration Experience in defense, aerospace, or mission-critical applications Familiarity More ❯
experience in machine learning, including deep learning and/or generative models. 3. A working knowledge and practical experience with modern ML frameworks (e.g., PyTorch, TensorFlow, or JAX). Key Words: Machine Learning/Drug Discovery/Computational Chemistry/Structural Biology/AI Techniques/Protein-Ligand Interaction/ More ❯
experience in machine learning, including deep learning and/or generative models. 3. A working knowledge and practical experience with modern ML frameworks (e.g., PyTorch, TensorFlow, or JAX). Key Words: Machine Learning/Drug Discovery/Computational Chemistry/Structural Biology/AI Techniques/Protein-Ligand Interaction/ More ❯
Cloud Platform (GCP) and Vertex AI. Extensive experience in Python programming and using Jupyter notebooks. Deep expertise in deep learning frameworks such as Keras, PyTorch, and CoreML. Strong knowledge of image processing techniques and algorithms. Experience in data wrangling, processing, and technical documentation. The ability to communicate complex technical concepts More ❯
Cloud Platform (GCP) and Vertex AI. Extensive experience in Python programming and using Jupyter notebooks. Deep expertise in deep learning frameworks such as Keras, PyTorch, and CoreML. Strong knowledge of image processing techniques and algorithms. Experience in data wrangling, processing, and technical documentation. The ability to communicate complex technical concepts More ❯
ll be proficient in Python, R, or other relevant programming languages and have experience with machine learning libraries and frameworks (e.g., TensorFlow, Scikit-learn, PyTorch). With a background in data mining and pattern recognition, you'll be an expert in statistical modelling, predictive analytics and regression techniques. An industry More ❯
and scale. This role involves working with a wide range of infrastructures, languages, and technologies such as Linux, Windows, AWS, Python, Rust, Node, and PyTorch, and you will be driven to learn more as required. What experience do I need: We welcome applications from engineers with strong problem-solving and More ❯
the electromagnetic spectrum and radio spectrum, impacting real-time decision-making and execution. WHAT ARE WE LOOKING FOR: Extensive experience in ML development in PYTORCH , Kubernetes, and TensorFlow. A proven record in AI and machine learning, focusing on end-to-end solution integration with existing infrastructure. A leading developer focused More ❯
Experience with profiling tools (e.g., NVIDIA Nsight, gdb, perf) and performance tuning in a GPU environment. Experience working with deep learning frameworks (e.g., TensorFlow, PyTorch) or similar ML frameworks is a plus. Strong problem-solving skills and a keen interest in optimizing systems for ML workloads. A passion for machine More ❯
Experience with profiling tools (e.g., NVIDIA Nsight, gdb, perf) and performance tuning in a GPU environment. Experience working with deep learning frameworks (e.g., TensorFlow, PyTorch) or similar ML frameworks is a plus. Strong problem-solving skills and a keen interest in optimizing systems for ML workloads. A passion for machine More ❯
building, validating and deploying GenAI models and applications on cloud infrastructure. Sound knowledge of machine learning fundamentals, with working knowledge of frameworks such as Pytorch, TensorFlow, JAX or MXNet. Knowledge of MLOps tools and workflows for model development, validation, and deployment. High level of communicating effectively across internal and external More ❯
build advanced data models, including predictive and prescriptive modelling. Proficiency in training large-scale models using modern deep learning engines such as TensorFlow, Keras, PyTorch, MXNet, or Caffe. Understanding of machine learning, natural language processing, and deep learning. Experience with cloud-based AI services and platforms. Knowledge of regulatory frameworks More ❯
building, validating and deploying GenAI models and applications on cloud infrastructure. - Sound knowledge of machine learning fundamentals, with working knowledge of frameworks such as Pytorch, TensorFlow, JAX or MXNet. - Knowledge of MLOps tools and workflows for model development, validation, and deployment. - High level of communicating effectively across internal and external More ❯
Occasionally, and in line with your strengths and interests, you may be asked to work outside your job description. Our tech stack Languages: Python (PyTorch, NumPy, OpenCV) ML Frameworks: PyTorch, TensorFlow, OpenCV Infrastructure: AWS, GCP, Docker, Kubernetes, MLFlow MLOps Tools: DVC, Weights & Biases, TensorRT Version Control & CI/CD: GitHub … Experience deploying ML models at scale, with knowledge of MLOps, model optimisation, and inference acceleration. Proficiency in Python and AI/ML frameworks like PyTorch & TensorFlow. Familiarity with cloud platforms (AWS, GCP, Azure) and containerised environments (Docker, Kubernetes). desirable Knowledge of camera models and calibration. Ability to communicate complex More ❯
ll focus on building and optimising models using LLMs , NLP , and biomedical data to transform clinical research. Key Skills: Machine Learning, LLMs, NLP Python, PyTorch, TensorFlow Healthcare or clinical data experience (preferred) Interested? Contact me directly at bart.townley@exploreltd.com or send me a message. More ❯
