and C++ are nice to have. 3+ years designing and building data-intensive solutions with distributed computing. 2+ years with industry-recognized ML frameworks (scikit-learn, PyTorch, TensorFlow, Spark, Ray). 1+ year productionizing, monitoring, and maintaining models. Bachelor's degree or equivalent work experience. Preferred Qualifications: 1+ years building, scaling, and optimizing ML systems. 1+ years in data gathering More ❯
fosters continuous learning, career growth, and professional development. In this role, you will provide key leadership to a talented team of engineers, contributing directly to projects such as Kubeflow, Ray and MLFlow with a primary focus on delivering fine tuning capabilities across the Red Hat AI product portfolio. We're looking for an individual contributor who is open to leading More ❯
Looking For 5+ years’ experience in high-level engineering roles. Proven track record building ML research pipelines in complex technical environments. Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure). Strong mathematical or statistical background. Background in AI-driven industries such as AI drug discovery, AdTech, ML health-tech, research More ❯
Looking For 5+ years’ experience in high-level engineering roles. Proven track record building ML research pipelines in complex technical environments. Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure). Strong mathematical or statistical background. Background in AI-driven industries such as AI drug discovery, AdTech, ML health-tech, research More ❯
Looking For 5+ years' experience in high-level engineering roles. Proven track record building ML research pipelines in complex technical environments. Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure). Strong mathematical or statistical background. Background in AI-driven industries such as AI drug discovery, AdTech, ML health-tech, research More ❯
Looking For 5+ years’ experience in high-level engineering roles. Proven track record building ML research pipelines in complex technical environments. Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure). Strong mathematical or statistical background. Background in AI-driven industries such as AI drug discovery, AdTech, ML health-tech, research More ❯
london (city of london), south east england, united kingdom
Harnham
Looking For 5+ years’ experience in high-level engineering roles. Proven track record building ML research pipelines in complex technical environments. Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure). Strong mathematical or statistical background. Background in AI-driven industries such as AI drug discovery, AdTech, ML health-tech, research More ❯
Looking For 5+ years’ experience in high-level engineering roles. Proven track record building ML research pipelines in complex technical environments. Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure). Strong mathematical or statistical background. Background in AI-driven industries such as AI drug discovery, AdTech, ML health-tech, research More ❯
CI Monitoring and telemetry tools: Prometheus, Grafana Version control with Git Preferred Qualifications: Experience debugging GPU-enabled applications Familiarity with OpenAPI, HTMX, or Hyperscript Experience with Spark, Dask, or Ray for distributed data workflows Knowledge of AI inference tools (e.g., Nvidia NIM, Triton, vLLM) Understanding of multi-GPU model training and hardware integration Experience with SQL, Elasticsearch, or vector databases More ❯
shipping ML-powered features or systems (consumer applications preferred) Preferred Qualifications Master's degree in Computer Science, Machine Learning, or related field Familiarity with LLM serving frameworks (vLLM, TGI, Ray Serve) and GPU optimization Experience with embeddings, vector databases, semantic search implementations, model training workflows, and data pipeline development Experience integrating LLMs with tool calling/MCP Knowledge of privacy More ❯
