1 to 25 of 37 Permanent PyTorch Jobs in Cambridge

learning, probabilistic modeling, and/or NLP. Proficiency in programming languages such as Python, R, or Julia, with experience using ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Familiarity with biological datasets such as genomic, transcriptomic, proteomic, or imaging data. Experience working with large-scale datasets and cloud computing platforms More ❯

in applied machine learning, especially deep learning, NLP, generative AI. Proven track record of impactful AI solutions. Experience with large language models, Python, TensorFlow, PyTorch, LangChain, LlamaIndex. Knowledge of agentic AI frameworks, reinforcement learning, and healthcare applications. Hands-on experience with AWS services and ML deployment practices. Excellent communication and More ❯

documentation • Co-author papers for submission to high-impact medical journals. Essential Requirements • Experience in developing computer vision models • Strong proficiency in Python and PyTorch • Ability to work independently and collaboratively in multidisciplinary teams Desirable Qualifications • Master’s or PhD in a related field or equivalent experience • Experience in image More ❯

documentation • Co-author papers for submission to high-impact medical journals. Essential Requirements • Experience in developing computer vision models • Strong proficiency in Python and PyTorch • Ability to work independently and collaboratively in multidisciplinary teams Desirable Qualifications • Master’s or PhD in a related field or equivalent experience • Experience in image More ❯

documentation • Co-author papers for submission to high-impact medical journals. Essential Requirements • Experience in developing computer vision models • Strong proficiency in Python and PyTorch • Ability to work independently and collaboratively in multidisciplinary teams Desirable Qualifications • Master’s or PhD in a related field or equivalent experience • Experience in image More ❯

and the mathematics of machine learning. Understanding of machine learning best practices, scalable training and deployment, model evaluation, and introspection. Experience with frameworks like PyTorch, TensorFlow, or others. Strong software engineering skills in Python and/or C++. Experience with devops tools: version control, CI/CD, containerization, etc. Preferred More ❯

deep learning literature and math of machine learning. Knowledge in machine learning best practices, scalable training and deployment, model introspection and evaluation. Experience in PyTorch, Tensorflow, or other deep learning frameworks. Experienced/accomplished in software engineering with advanced skills in python and/or C++ Experience with devops stacks More ❯

evaluation. Solid understanding of software engineering practices, particularly in the context of ML development. Hands-on experience with Python and ML libraries such as PyTorch, TensorFlow, and Scikit-learn. Familiarity with tools like Git, Docker, and cloud platforms (e.g., AWS, GCP, Azure). Qualifications (Preferred for Senior Roles) Expertise in … opportunities employer. We are on the client's supplier list for this role. Keywords AI Research, Machine Learning Engineer, NLP, Computer Vision, Deep Learning, PyTorch, TensorFlow, LLMs, Transformers, GANs, Reinforcement Learning, Data Science, Python, Cambridge AI Jobs, Applied AI, Research Scientist, Artificial Intelligence, ML Research, AI Innovation More ❯

and VAE architectures. Experience with spatial and single-cell data modelling and their application to biological questions. Strong programming skills in Python, TensorFlow/PyTorch, and familiarity with AWS cloud infrastructure. Demonstrable track record of applying AI to solve complex biological challenges and translate outputs into biologically meaningful hypotheses. C More ❯

AI methods and optimization of machine learning models. Proficiency in programming languages such as Python, R, C++, or Java, and with AI frameworks including PyTorch, and OpenCV. Extensive experience with traditional and modern computer vision techniques, including object detection (YOLO, SSD, Faster R-CNN), image segmentation (U-Net, Mask R More ❯

Researcher role, you must have: A PhD in Natural Language Processing, AI, Electrical Engineering, or a related field. Experience with ML frameworks such as PyTorch, TensorFlow, or JAX. Strong programming skills in C++, C, or Python. Experience working with embedded or mobile devices. Ideally, 2+ years of industry experience post More ❯

experience in ML, AI, CS, physics, or mathematics Strong publication record (NeurIPS, ICML, ICLR, etc.) Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow)Solid grasp of ML techniques; independent and team-oriented mindset Preferred : Experience in LLMs, reinforcement learning, or chip designFamiliarity with JAX and optimization frameworks More ❯

e.g., computer science, chemistry, physics, engineering). Strong background in machine learning, including deep learning and generative models. Experience with ML frameworks such as PyTorch, TensorFlow, or JAX. Proficiency in Python and C++, with a collaborative mindset. Familiarity with protein structure modeling, co-folding, or related methods; knowledge of organic 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. In this machine learning-focused role, you will also be curating datasets and working with More ❯

speed and scale. This role involves working with a wide range of infrastructures, languages and technologies such as Linux, Windows, AWS, Python, Rust, Node, 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 ❯

speed and scale. This role involves working with a wide range of infrastructures, languages and technologies such as Linux, Windows, AWS, Python, Rust, Node, PyTorch and you will be driven to learn more as required. In this machine learning focused role you will also be curating datasets and working with More ❯

for the Machine Learning Engineer job: MSc/PhD in a relevant field with strong ML/deep learning foundations Hands-on experience with PyTorch or TensorFlow Expertise in model training at scale and GPU systems Knowledge of model compression and optimization techniques A background in speech recognition would be More ❯

for the Machine Learning Engineer job: MSc/PhD in a relevant field with strong ML/deep learning foundations Hands-on experience with PyTorch or TensorFlow Expertise in model training at scale and GPU systems Knowledge of model compression and optimization techniques A background in speech recognition would be More ❯

for the Machine Learning Engineer job: MSc/PhD in a relevant field with strong ML/deep learning foundations Hands-on experience with PyTorch or TensorFlow Expertise in model training at scale and GPU systems Knowledge of model compression and optimization techniques A background in speech recognition would be 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 ❯

ML methods (e.g., generative models, GNNs, active learning, foundation models) in a scientific context. Strong coding skills and experience with relevant ML frameworks (e.g., PyTorch, TensorFlow, JAX) and chemistry toolkits (e.g., RDKit). Deep understanding of molecular representation techniques and their application in modeling. Experience in designing and implementing robust More ❯

ML methods (e.g., generative models, GNNs, active learning, foundation models)in a scientific context.- Strong coding skills and experience with relevant ML frameworks(e.g., PyTorch, TensorFlow, JAX) and chemistry toolkits (e.g., RDKit).- Deep understanding of molecular representation techniques and their application in modeling.- Experience in designing and implementing robust More ❯

systems and LLMs. You’ll need: A strong educational background, with some focus on ML/Deep Learning Experience using machine learning frameworks like PyTorch or Tensorflow Experience training machine learning models for production applications A background in handling multi-Terabyte datasets On offer are great salary and benefits, as More ❯

quantization and pruning. Develop foundational Deep Learning models for Robotics (Reinforcement Learning/Imitation Learning) Qualifications: Expertise in Python/C++ and deep learning (PyTorch). Experience building Deep Reinforcement Learning Models. Experience with Robotics and/or Simulation. More ❯

quantization and pruning. Develop foundational Deep Learning models for Robotics (Reinforcement Learning/Imitation Learning) Qualifications: Expertise in Python/C++ and deep learning (PyTorch). Experience building Deep Reinforcement Learning Models. Experience with Robotics and/or Simulation. More ❯