13 of 13 JAX Jobs in London

LLMs: Understanding of LLM architectures, pre and/or post-training, evaluations and inference. Programming languages: Proficiency in Python using PyTorch/TensorFlow/JAX framework. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms ...

understanding of LLM architectures, pre and/or post-training, evaluations and inference. Programming languages: Excellent proficiency in Python using PyTorch/TensorFlow/JAX framework. Customer facing: Experience working directly with customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud ...

software oriented projects from inception to delivery. Preferred qualifications: 5 years of experience with data structures and algorithms. Experience with ML frameworks (e.g., TensorFlow, JAX, PyTorch) and hardware performance analysis, particularly with TPUs and GPUs. Experience with Compilers and Compiler construction. Experience programming in Python. Ability to effectively navigate ...

good fit if you: Are proficient in Python and async/concurrent programming with frameworks like TrioHave experience with machine learning frameworks (PyTorch, TensorFlow, JAX)Have industry experience in machine learning researchCan balance research exploration with engineering implementationEnjoy pair programming (we love to pair!)Care about code quality, testing ...

learning, deep learning and applied mathematicsProduction experience building agentic AI/LLM-based systemsStrong programming ability in Python, Rust, C++ or JavaExperience with PyTorch, JAX, TensorFlow or agent orchestration frameworksExcellent engineering judgement and the ability to turn research into robust, production-ready AIA genuine interest in solving difficult technical problems ...

applied mathematicsExperience training, fine-tuning or deploying production-grade modelsExcellent programming skills in Python, with Rust, C++ or Java advantageousStrong experience with PyTorch, JAX or TensorFlowKnowledge of LLMs, transformer architectures, model optimisation or agentic systemsThe ability to turn complex research into reliable, production-ready softwareBonus points for a PhD, publications ...

agents, LLM research, as well as reinforcement learning and fine-tuning Strong knowledge of linear algebra, calculus and statistics.Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas.Depending on your experience: project supervision, leadership, or management.Strong knowledge of LLM landscape today ...

learning techniques, including designing new architectures, hands-on experimentation, analysis, and visualisation.Strong knowledge of linear algebra, calculus and statistics.Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas.A passion for applying ML research to real world problems.Depending on your experience: project ...

application is highly valued.LLM experience is valuable, but not necessary.Strong engineering skills valued, especially any of: GPU kernel development, lower-level Pytorch/JAX development, intermediate C++, FPGA/ASIC experience, HPC experience.The estimated base salary range for this position is 200,000 to 300,000 USD per year ...

high agency and low egoStrong candidates may also haveExperience with large-scale distributed training (RL, pre-training, or post-training)Familiarity with JAX, PyTorch, or similar ML frameworksA track record of operating at the edge of research and infra in a fast-moving environmentDeadline to apply: None. Applications will ...

world drug design programs. Skills and qualifications Essential: Significant experience with large scale distributed training of LLMs. Experience with deep learning ML frameworks (either JAX or PyTorch).Knowledge of parallelism strategies and collective communication libraries (e.g. NCCL).Good understanding of GPU architectures. Reasoning about performance concepts is more important than ...

debugging approaches, and lessons learnedYou May Be a Good Fit If You: Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systemsGenuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/50 rather … research engineerCare about the societal impacts of AI and responsible scalingStrong Candidates May Also Have: Previous experience training LLM's or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scaleContributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh-transformer-jax)Published research ...

performance and user experience. Minimum qualifications: Bachelor's degree or equivalent practical experience.8 years of experience in C++ or Python, modern ML frameworks (e.g., JAX, PyTorch), and on-device/cloud inference runtimes. Experience optimizing latency, bandwidth, reliability, compute, memory, energy, and cost constraints across device, mobile, and cloud layers. … personalized, conversational, and contextually aware experiences. Bachelor's degree or equivalent practical experience.8 years of experience in C++ or Python, modern ML frameworks (e.g., JAX, PyTorch), and on-device/cloud inference runtimes. Experience optimizing latency, bandwidth, reliability, compute, memory, energy, and cost constraints across device, mobile, and cloud layers. ...