1 to 25 of 33 PyTorch Jobs in the East of England

and GenAI technologies for specific scenarios, estimate the time, cost and outcomes of different solutions, and apply effective risk management to ensure prompt delivery • Deep experience in Python and PyTorch/TensorFlow. • Industry experience in building scalable, production-grade AI services and automated data pipelines with tools like Docker, Kubernetes, and cloud platforms (e.g., AWS). • Proven ability to collaborate More ❯

machine learning engineers, AI researchers, and data scientists, driving end-to-end AI solution delivery. Designing and implementing AI architectures across cloud and on-prem environments, leveraging tools like PyTorch, TensorFlow, and Hugging Face. Spearheading the development of production ready AI models, from foundational LLMs to custom built cognitive agents, solving real world business challenges. Establishing scalable ML/AI More ❯

or a related field. 5+ years' experience in data science, with proven success delivering end-to-end projects. Proficiency in Python, R, SQL, and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong skills in data storytelling, problem-solving, and working with both structured and unstructured data. Experience with APIs, cloud platforms (especially AWS), and MLOps practices is a More ❯

in a leadership or architecture role, ideally with some experience in leading a Centre of Excellence or a similar initiative. • Hands-on experience with Al frameworks such as TensorFlow, PyTorch, Scikit-learn, and cloud platforms like AWS, Azure, or Google Cloud. • Experience in multiple industries is advantageous (e.g., healthcare, finance, retail). Skills: AI/ML Expertise: Strong understanding of More ❯

landscape and uses cases. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI solutions. Communicate effectively with stakeholders and More ❯

need from you: Strong background in NLP and AI, particularly with LLMs and RAG-based solutions Proficiency in Python and modern AI/ML libraries (e.g. HuggingFace, LangChain, TensorFlow, PyTorch) Experience with data exchange and storage frameworks (e.g. APIs, SQL, NoSQL, Parquet) Track record of delivering technical solutions in Agile environments Excellent communication skills and a collaborative mindset Beneficial, but More ❯

an active role in open source communities. Excellent programming abilities with experience in relevant languages (Python, Rust, C++ and/or Go). Experience with relevant libraries/tools (PyTorch, Tensorflow, Neo4j) and/or AI accelerators (GPU, TPU) is a plus. Deep understanding of open source development processes (RFCs/proposals, GitHub pull requests) with demonstrable contributions to open More ❯

Design of Experiment (DoE) Solid understanding of unit operations and process-structure-property-performance relationships in foods. Hands-on experience with machine learning, preferably in Python (scikit-learn, TensorFlow, PyTorch, etc.). Experience with hybrid modelling approaches (combining mechanistic and data-driven models) is a plus. Familiarity with digital twin technologies and in silico experimentation concepts. Collaborative mindset and ability More ❯

Bioinformatics, Computer Science, or a related technical field (MSc with significant experience also considered). Extensive experience in designing, training, debugging, and evaluating machine learning models using frameworks like PyTorch, TensorFlow, or JAX. Strong foundation in mathematics and statistics, including linear algebra, probability, and optimization. Excellent scientific writing and communication skills. Preferred Qualifications Experience in computational biology, genomics, or drug More ❯

a small, agile team working on projects ranging from genomic data interpretation to clinical trial optimization . Key Responsibilities: Build and deploy ML models using Python , scikit-learn , and PyTorch Work with structured and unstructured biomedical datasets (e.g. genomic sequences, patient records, imaging) Collaborate with bioinformaticians and clinical researchers to translate data into actionable insights Contribute to the development of More ❯

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 ❯

Kernel, AI Foundry, or similar. Experience with tools for automated testing and evaluation of AI outputs is a plus. Experience in Python and AI frameworks/tools such as PyTorch and TensorFlow. Core Skills and Qualifications: 6+ years of experience in software engineering, with at least 2 years focused on building or integrating AI/ML solutions. Hands-on experience More ❯

and/or Semantic Kernel. Experience with tools for automated testing and evaluation of AI outputs is a plus. Experience in Python and AI frameworks/tools such as PyTorch and TensorFlow. Core Skills and Qualifications: 8+ years of professional software engineering experience, including 3+ years working directly on AI/ML systems or platforms. Hands-on experience with Microsoft More ❯

equivalent in a technical discipline (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 chemistry is a plus. Why More ❯

and we actively support that growth. • Experience shipping real products to customers • ML Design and Deployment: Familiarity with designing, training, optimizing, and deploying machine learning models using frameworks like PyTorch, JAX, LiteRT, HuggingFace Transformers, or commercial APIs. • Containerisation: Experience with cloud deployments and containerisation (Docker, Kubernetes, containerd). • Linux: Embedded Linux and kernel development. • Programming Languages: We adopt a flexible More ❯

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 ❯

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 ❯

with RAG (retrieval-augmented generation) and GraphRAG a big plus Experience with building and deploying software on GitHub, PyPI, Anaconda Cloud, and Docker Hub, as well as use of Pytorch lightning, Git, test-driven design. Knowledge of parallel computing technologies, such as NVIDIA's CUDA platform, OpenCL, and OpenMPI. The salary range for Cambridge, UK: - Senior Scientist I, Computational Biology More ❯

benchmarking. Proficiency in Git and distributed version control systems. Desirable Skills Experience with open-source software maintenance, SDN, Kubernetes, and Docker. Hands-on testing of AI networking stacks (e.g., PyTorch, RDMA/RoCE, NCCL). Performance benchmarking and multi-node setup testing using traffic generators like IXIA. Accommodations at Arm At Arm, we want our people to Do Great Things. More ❯

of benefit: Embedded development of micro controllers or embedded linux (e.g. ZephyrOS, Yocto) High level language experience (e.g. Python, TypeScript) Experience with machine learning and generative AI frameworks (e.g. PyTorch) Experience with UX principles and processes and an eye for design In Return: You will lead an established and experienced team working with innovative technologies in an agile environment which More ❯

HW-SW co-design Ability to develop and work with large software systems in programming languages like Python Knowledge of cutting-edge deep learning libraries such as Tensorflow, and Pytorch Willing to learn and train large deep learning models on GPU-based systems Qualities that will help your application stand out: Experience with ML model design, optimization, and HW-SW More ❯

solving and debugging skills Practical, organized and analytical approach to work Good oral and written English skills "Nice To Have" Skills and Experience : Experience with ML software frameworks (e.g. PyTorch) Familiarity with ML hardware accelerators (e.g. NPUs, TPUs, GPUs with CUDA support) Knowledge of optimising and profiling software Experience with assembly programming Software development and integration on Linux, Android, or More ❯

SystemReady SR Compliance Program Experience with Security Development Lifecycle (SDL) practices. Experience with open-source software maintenance, SDN, Kubernetes, and Docker. Hands-on testing of AI networking stacks (e.g., PyTorch, RDMA/RoCE, NCCL). Performance benchmarking and multi-node setup testing using traffic generators like IXIA. In Return: You will have the opportunity to learn about the latest Arm More ❯

Python and Bash A desire to have a positive impact both within our team and the wider Arm ecosystem Strong understanding of machine learning fundamentals and frameworks such as PyTorch and TensorFlow 'Nice to have' abilities and knowledge: Performance evaluation experience and knowledge of potential pitfalls Knowledge of hardware modelling concepts, including configuration and latency definition files Graphics programming experience More ❯

well- documented code and participate in code reviews. Requirements: BSc or MSc in an Engineering discipline. Demonstrated experience with the ML research and development lifecycle. Hands-on experience with PyTorch, Hugging Face libraries. Solid understanding of algorithms, data structures, and software design principles. Growth mindset and curiosity for biology - we'll teach you the rest Collaborative team player with excellent More ❯