51 to 75 of 92 Ray Jobs

building AI agents using orchestration frameworks such as LangChain, LangGraph, CrewAI, or similar platforms Experience operating or integrating model serving platforms such as KServe, Ray Serve, or NVIDIA Triton Inference Server alongside other large language model serving stacks Familiarity with Amazon SageMaker JumpStart, SageMaker Endpoints, and Amazon Bedrock for managed … detection, toxicity filtering, and drift detection using open telemetry conventions Contributions to open-source large language model serving or inference projects, (vLLM, llm-d, Ray, KServe, Triton) #J-18808-Ljbffr ...

Your Impact Provision and manage cloud-native AI/ML infrastructure utilising Kubernetes, Docker, and GPU orchestration frameworks (e.g., NVIDIA GPU Operator, Slurm, or Ray). Automate core platform infrastructure using Infrastructure as Code (IaC) tools like Terraform, Helm, and Ansible. Optimise GPU compute workloads, high-speed networking, and storage … Docker, Helm, KubeFlow, and service meshes (e.g., Istio). Hands-on experience with Terraform, Ansible, GitHub Actions, ArgoCD, or Jenkins. Experience with vLLM, Ray, MLflow, LangChain/LangSmith, DeepSpeed, or Hugging Face TGI. Solid background in AWS/GCP/Azure, Kubecost, and GPU cost optimisation techniques. Strong skills ...

cost-efficiency.Your ImpactProvision and manage cloud-native AI/ML infrastructure utilising Kubernetes, Docker, and GPU orchestration frameworks (e.g., NVIDIA GPU Operator, Slurm, or Ray).Automate core platform infrastructure using Infrastructure as Code (IaC) tools like Terraform, Helm, and Ansible.Optimise GPU compute workloads, high-speed networking, and storage for efficient … Kubernetes (K8s), Docker, Helm, KubeFlow, and service meshes (e.g., Istio).Hands-on experience with Terraform, Ansible, GitHub Actions, ArgoCD, or Jenkins.Experience with vLLM, Ray, MLflow, LangChain/LangSmith, DeepSpeed, or Hugging Face TGI.Solid background in AWS/GCP/Azure, Kubecost, and GPU cost optimisation techniques.Strong skills in Python, Bash ...

data structures, algorithms, networking, OS, concurrency, and system design. Experience running compute at cluster scale: job scheduling, resource management, retries, and reliability. Slurm, Kubernetes, Ray, Spark, or custom internal schedulers all count. Proven data‐engineering experience: schema design, storage formats, compression, I/O trade-offs, and pipelines processing hundreds ...

fundamentals: data structures, algorithms, networking, OS, concurrency, and system design.Experience running compute at cluster scale: job scheduling, resource management, retries, and reliability. Slurm, Kubernetes, Ray, Spark, or custom internal schedulers all count.Proven data-engineering experience: schema design, storage formats, compression, I/O trade-offs, and pipelines processing hundreds ...

systems. Deep familiarity with JAX internals, distributed training libraries, or custom kernels/fused ops. Experience with multi-node cluster orchestration (Slurm, Ray, Kubernetes, or similar). Comfort debugging performance issues across CUDA/NCCL, networking, IO, and data pipelines. Experience working with containerized environments (Docker, Singularity/Apptainer). ...

domain and/or Search/Recommender systems.Experience with mainstream DL frameworks: PyTorch or TensorFlow.Preferred Qualifications:Experience with our stack (Python, Pytorch, Airflow, BigQuery, Ray, k8s, kafka, GCP)Tech leadership experience: mentoring junior engineers and leading complex projects. Hands-on experience with using/fine-tuning/building LLMs.Benefits:Global ...

distributed training or HPC systems.Deep familiarity with JAX internals, distributed training libraries, or custom kernels/fused ops.Experience with multi-node cluster orchestration (Slurm, Ray, Kubernetes, or similar).Comfort debugging performance issues across CUDA/NCCL, networking, IO, and data pipelines.Experience working with containerized environments (Docker, Singularity/Apptainer).A ...

knowledge of distributed systems, operating systems, machine learning systems architecture, Inference serving, and AI Infrastructure. Hands-on experience with LLM serving frameworks (e.g., vLLM, Ray Serve, TensorRT-LLM, TGI) and distributed KV cache optimization. Proficiency in C/C++, with additional experience in Python for research prototyping. Solid grounding ...

years of experience in a data engineeringStrong proficiency in Python and RustHands-on experience with AWS cloud, Linux, and Docker.Expertise in distributed computing frameworks (Ray, Dask, or Apache Arrow).Strong analytical skills, with the ability to handle large-scale, high-frequency data.Solid understanding of ETL pipelines, data modelling, and database ...

testable, well‐documented and maintainable code, version control and code reviews; Have experience with distributed training frameworks such as PyTorch Distributed, DeepSpeed, FSDP or Ray Train; Have experience optimising models for inference, including quantisation, distillation and pruning; Nice to have: experience with biomedical data modalities such as genomics, multi‐omics ...

containerized ecosystems. Preferred Technical Exposure Experience building infrastructure for simulation software, virtual testbeds, or automated control systems. Experience with Reinforcement Learning tools such as Ray RLlib Familiarity with high-efficiency runtime environments or specialized hardware acceleration toolchains. Background in remote system provisioning, telemetry transport protocols (such as messaging queues ...

long as you're open to learning, please apply. Backend: Python Frontend: TypeScript and React Deployment: Kubernetes Infrastructure: GCP Machine learning: PyTorch, CUDA, Ray Why Encord Competitive salary, commission, and meaningful equity in a high-growth startup Strong in-person culture — most of the team works from our London office ...

these — as long as you're open to learning, Backend: Python Frontend: TypeScript and React Deployment: Kubernetes Infrastructure: GCP Machine learning: PyTorch, CUDA, Ray Why Encord Competitive salary, commission, and meaningful equity in a high-growth startup Strong in-person culture — most of the team works from our London office ...

these — as long as you're open to learning. Backend: Python Frontend: TypeScript and React Deployment: Kubernetes Infrastructure: GCP Machine learning: PyTorch, CUDA, Ray Why Encord Competitive salary, commission, and meaningful equity in a high-growth startup Strong in-person culture — most of the team works from our London office ...

long as you're open to learning, please apply. Backend: Python Frontend: TypeScript and React Deployment: Kubernetes Infrastructure: GCP Machine learning: PyTorch, CUDA, Ray Why Encord Competitive salary, commission, and meaningful equity in a high-growth startup Strong in-person culture: the team works from our London office 4+ days ...

writing clean, testable, well-documented and maintainable code, version control, code reviews Experience with distributed training frameworks such as PyTorch Distributed, DeepSpeed, FSDP or Ray Train Experience optimising models for inference (e.g. quantisation, distillation, pruning) Preferred Qualifications Experience working with biomedical data modalities such as genomics, multi-omics, clinical ...

writing clean, testable, well-documented and maintainable code, version control, code reviews Experience with distributed training frameworks such as PyTorch Distributed, DeepSpeed, FSDP or Ray Train Experience optimising models for inference (e.g. quantisation, distillation, pruning) Preferred Qualifications Experience working with biomedical data modalities such as genomics, multi-omics, clinical ...

Apart Experience building a production-grade runtime, compiler, workflow engine, distributed training system, database, debugger, or orchestration platform Meaningful contributions to systems such as Ray, Temporal, Kafka, Erlang/BEAM, PyTorch, JAX, TensorFlow, or comparable projects Strong API design judgement, open-source collaboration, and disciplined approaches to testing, versioning, compatibility ...

About Kyra Kyra is an enterprise influencer marketing platform working with brands like SharkNinja, Coach, H&M, Ray-Ban, and Converse. Our platform manages the full lifecycle — creator discovery, campaign management, content review, payments, analytics, and AI-powered intelligence across TikTok, Instagram, and YouTube. The Opportunity You will build Kyra ...

have Experience with simulators for robotics (Isaac Sim, MuJoCo etc.) Experience in RL for robotics. Experience building infrastructure for large‐scale RL (e.g. using ray). Publications at ICLR/ICML/NeurIPS or equivalent open‐source contributions. Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open VLA frameworks. ...

complex optimization problems such as ranking systems or multi‐objective decision‐making You bring hands‐on experience with PyTorch and distributed systems such as Ray or similar frameworks You understand experimentation deeply and can design reliable tests in environments with interacting metrics You are able to analyze results using approaches ...

test infrastructure in CI/CD and managing cross-platform builds Excellent debugging instincts and clear, reproducible bug reports Experience with GPU programming or ray/path tracing concepts (nice to have) Background in computer graphics, including PBR, color management, and perceptual image metrics (nice to have) Familiarity with physics ...

Who we are Artefact is a leading global consulting firm dedicated to accelerating the adoption of data and AI. We work with a variety of businesses, from supermarket chains, to private equity firms and telecoms ...

Who we areArtefact is a leading global consulting firm dedicated to accelerating the adoption of data and AI. We work with a variety of businesses, from supermarket chains, to private equity firms and telecoms; including ...