10 of 10 Remote/Hybrid Ray Jobs in London

experience with experiment tracking and orchestration tools such as clearml, Weights & Biases, MLflow.Experience with distributed computing frameworks and large-scale data processing (e.g., Ray, Spark, Dask)Excellent communication skills to collaborate with researchers and translate research ideas into robust implementationsSelf-driven attitude with genuine curiosity about ML research developmentsComfortable working ...

caching, or other inference-speed work on large generative models.Reward models, offline RL, or closed-loop evaluation of driving policies.Productionising research: Flyte/Ray/Spark-style jobs, dataset lineage, training mix configuration; cloud GPU fleets (Azure/AWS/GCP) and distributed training.Strong publication record or contributions to open ...

model deployment to constrained edge/embedded compute, and the hardware-software trade-offs involved.Familiar with compute management and ML platform tooling - e.g. Kubernetes, Ray, Flyte, Docker, cloud (Azure), Python - and model-development/experiment workflow tooling.Proficient with AI Agents to accelerate execution: e.g. Cursor, Claude, Codex.Stays neutral and adapts ...

work on large generative models. AV/robotics/simulation; multi‐sensor driving data (video, telemetry; LiDAR a plus). Productionising research: Flyte/Ray/Spark‐style jobs, dataset lineage, training mix configuration. Reward models, offline RL, or closed‐loop evaluation of driving policies. Cloud GPU fleets (Azure/ ...

inference-speed work on large generative models.AV/robotics/simulation; multi-sensor driving data (video, telemetry; LiDAR a plus).Productionising research: Flyte/Ray/Spark-style jobs, dataset lineage, training mix configuration.Reward models, offline RL, or closed-loop evaluation of driving policies.Cloud GPU fleets (Azure/AWS/ ...

documentation skillsPreferred QualificationsAdvanced degree (MSc/PhD) in Machine Learning, Computer Science, or related fieldExperience scaling machine learning training and data pipelines (e.g., using Ray or similar frameworks)Experience with cloud services and architectures (e.g. AWS, Azure)Experience with LLMs or generative AI systems (fine-tuning, prompting, evaluation)Knowledge ...

deployment to constrained edge/embedded compute, and the hardware-software trade-offs involved. Familiar with compute management and ML platform tooling - e.g. Kubernetes, Ray, Flyte, Docker, cloud (Azure), Python - and model-development/experiment workflow tooling. Proficient with AI Agents to accelerate execution: e.g. Cursor, Claude, Codex. Stays neutral ...

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 ...

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 ...

with Machine Learning experiment tracking and model registries using MLflow, Weights & Biases, Neptune, ClearML or a similar platform.Experience with distributed training frameworks such as Ray, DeepSpeed, Horovod or PyTorch FSDP.Hands-on experience optimising models for inference using TensorRT, ONNX Runtime, OpenVINO, quantisation or pruning.Strong Docker and containerisation skills, including multi … Nomad or other container-orchestration platforms.Airflow, Prefect, Dagster, Metaflow or similar workflow tools.Kafka, Pulsar, Redis Streams, RabbitMQ or other event-driven technologies.Triton Inference Server, Ray Serve, TorchServe, BentoML or Seldon Core.DVC, LakeFS, Delta Lake, Feast or other data-versioning and feature-store technologies.Terraform, Pulumi, CloudFormation or Ansible.GPU cluster management ...