4 of 4 Remote/Hybrid MLOps Jobs in Brighton

platforms (AWS, Azure, or GCP) and ML deployment strategies. Strong communication skills and experience mentoring or leading technical initiatives. Nice to Have Experience with MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI). Familiarity with containerization and orchestration (Docker, Kubernetes). Experience working with large-scale datasets or real-time ...

Nice to Have Experience with containerization (Docker, Kubernetes). Exposure to DevOps tools (CI/CD pipelines, automation). Knowledge of model deployment or MLOps practices. Experience designing distributed systems or event-driven architectures. What We Offer Collaborative and supportive team environment. Opportunities to work with cutting-edge AI technologies. ...

APIs (OpenAI, Anthropic Claude, Gemini) Develop complex prompt engineering and agentic workflows Build and optimise RAG pipelines using vector databases and embedding models Implement MLOps best practices across AWS and Azure cloud platforms Leverage agent frameworks (LangChain, LlamaIndex, CrewAI) to orchestrate complex AI workflows Develop model fine-tuning, evaluation frameworks ...

want to work with the latest in LLMs, co-pilots, agentic workflows, RAGs, and more, while also applying real data science, ML, and MLOps skills in live enterprise environments. What You'll Do: Work directly with enterprise clients to design and deploy custom AI agents Tackle complex business problems with ...