26 to 36 of 36 JAX Jobs in London

Lead AI Engineer Early employee at a high-growth AI startup Ideal Experience Strong Python software engineering skills Expertise with PyTorch and/or JAX Experience deploying machine learning systems into production Deep knowledge of LLMs and Generative AI Hands-on experience with LoRA, QLoRA, DPO, RLHF, SFT, or related ...

large distributed runs. Deep understanding of transformer and diffusion architectures, multimodal training, and the practicalities of distributed training Strong Python + PyTorch/JAX; you can debug and profile ML systems and write maintainable research code. A track record of making data-driven scaling decisions and communicating trade-offs crisply ...

have strong experience building production-grade machine learning systems at scale You are experienced with modern ML frameworks such as PyTorch, TensorFlow, or JAX You have worked with or are interested in multimodal machine learning You understand how to design systems that balance automation with quality, safety, and user experience ...

delivery at scale — including workload profiling, scheduler configuration (SLURM, PBS, or equivalent), MPI/NCCL tuning, and distributed training frameworks such as PyTorch, JAX, or DeepSpeed. Deep understanding of GPU software environments: CUDA, cuDNN, NCCL, driver stacks, and the tooling required to run large-scale AI training and inference workloads ...

About Graphcore At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and ...

Olix Computing seeks an Architect/Staff Systems Software Engineer to own the DX-1 runtime and serving stack, connecting PyTorch/JAX to the hardware and enabling production inference at rack scale. This is a whole-stack role at the intersection of runtime, network, and accelerator with close collaboration ...

OLIX is seeking an Architect/Staff Systems Software Engineer to own the DX-1 runtime and serving stack, connecting PyTorch and JAX down to the metal. You will work at the intersection of runtime, network, and accelerator, partnering with hardware, compiler, and modelling teams to optimize serving performance. Join ...

NVLink/InfiniBand), Kubernetes/Slurm, and OS internals Expertise in Python and deep experience with modern deep learning frameworks (PyTorch and/or JAX) Advanced degree (MS or PhD) in Computer Science, Machine Learning, Physics, Mathematics, or a related quantitative field, or equivalent industry experience at a frontier … orientation, and excellent collaborative communication Reliable and predictable availability Bonus Points Expertise in: CUDA kernel development, Triton/Pallas/CuTe DSLs, PyTorch/JAX internals, XLA optimization, or hardware acceleration (FPGA/ASIC) Knowledge of reinforcement learning, post-training, or fine-tuning techniques Knowledge of financial markets or trading ...

research and evaluations.Collaborate with other researchers and engineers to accelerate project velocity.### Skills Required* reinforcement learning (RL)* supervised fine-tuning (SFT)* agent-based systems* JAX* Flax* TensorFlow* PyTorch* systems design### Tags:UKLondonShare Job:Application planning## What to evaluate before applying### Visa and relocation signals* Visa sponsorship is not explicitly marked … supervised fine-tuning (SFT), or agent-based systems, including modeling or applied infrastructure. 2 years of experience with machine learning frameworks such as JAX, Flax, TensorFlow, or PyTorch, and scaling experiments. Preferred qualifications: PhD in Computer Science, Machine Learning, or a related quantitative field. Publications in reinforcement learning (RL), tool ...

make that hardware serve large AI models at rack scale by building and extending the runtime and serving stack that connects PyTorch and JAX down to the metal. This is a whole-stack systems role. You’ll work where the runtime, the network, and the accelerator meet, partnering closely with … cache and memory management, and reliability across distributed failure domains at cluster scale. Fluency at the framework boundary, connecting accelerators to PyTorch/JAX and serving stacks without treating either as opaque. Whole-stack debugging: end-to-end and timeline tracing, workload replay, and reasoning from architectural constraints (SRAM, host ...

systems Strong Python software engineering skills Experience training, fine-tuning or deploying modern machine learning models Strong experience with PyTorch and/or JAX Experience building scalable ML infrastructure and inference pipelines Comfortable owning projects end-to-end in fast-moving environments Previous mentoring or technical leadership experience would … advantageous Tech Stack Python * PyTorch * JAX * GPU Training * LLMs * Modern ML Infrastructure Get in touch for more details - McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds. ...