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Applied AI ML - Senior Associate - Machine Learning Engineer
Build and deploy AI/ML models (NLP, computer vision) for J.P. Morgan’s Commercial & Investment Bank, combining research with production engineering to automate decisions and processes.
Senior AI/ML Engineer (Exclusive)
Build and deploy production-scale NLP and personalization models that process billions of consumer reviews and UGC, using Python, cloud ML stacks, and LLMs.
Principal Data Engineer - Active SC required
Principal Data Engineer builds secure, scalable data pipelines and platforms for a defence client’s Secure Digital Platform, using cloud tools like Azure/AWS and Python/Spark.
AI Engineer - NonVolume
Build and deploy production-grade AI systems (LLMs, generative AI, agentic workflows) in Python, turning ambiguous business problems into reliable cloud-native services for a motoring organization.
Data Science/Engineer & AI Coach / Assessor
Assess apprentices in data engineering, ML engineering, and AI roles, grading projects and technical tests while providing feedback on their competence.
Lead AI Engineer - London
Lead AI Engineer designs, builds, and deploys enterprise-scale AI/ML and Generative AI systems, including RAG pipelines and agentic workflows, across Azure, GCP, or AWS.
AI Engineer - London
Design and deploy AI-powered applications, including LLM-based agents and workflows, to transform enterprise processes while ensuring scalability, security, and governance.
Backend ML Engineer | MLOps, TS & Docker Expert
Build and deploy ML models and MLOps pipelines using TypeScript, Docker, and databases like PostgreSQL/PostGIS and DynamoDB.
Senior Software Engineer
Build and scale Ultralytics HUB, a platform for AI model development using Python, FastAPI, TypeScript, and Nuxt.js, deployed on GCP with Docker and microservices.
AI Engineer – Schwerpunkt Generative KI Systeme (m/w/d)
Build and deploy generative AI systems, including language and diffusion models, while automating MLOps pipelines and integrating models into APIs and platforms.
Staff Site Reliability Engineer (Hybrid)
Lead the reliability and scalability of Cisco’s Splunk Agent Observability platform, designing Kubernetes-based infrastructure, SLOs, and automation to ensure resilient AI agent deployments in cloud and on-prem environments.
Senior Site Reliability Engineer (Remote)
Build and maintain the Kubernetes-based infrastructure and deployment systems that keep Splunk’s AI agent observability platform reliable and secure across cloud and air-gapped environments.
Data Scientist (F/H)
Build, train, and deploy ML/DL models (including LLMs) for clients, using Python, SQL, Spark, and cloud platforms, while following MLOps practices.
Product ML Engineer
Build and scale ML-powered recommendation and personalization systems for a cannabis retail platform, designing ranking, retrieval, and forecasting models to improve eCommerce experiences.
Senior/Principal AI/ML Solutions Architect
Design and build scalable AI/ML infrastructure for a global fintech leader, focusing on real-time fraud detection and liquidity optimization using AWS, Kubernetes, and PyTorch.
Principal AI Engineer
Leads AI engineering at Weekday AI, designing and scaling core AI models and infrastructure for the company’s primary product.
Senior Machine Learning Engineer
Build and deploy ML models for Weekday AI’s core product, focusing on model training, optimization, and integration into scalable AI systems.
Founding Machine Learning Engineer
Build and scale the core ML systems for a new AI startup, designing models and infrastructure from the ground up.
AI Engineer
Build AI agents and MCP servers that let LLMs autonomously use internal financial data; optimize GPU/CPU and storage for high-performance AI workloads; and implement end-to-end MLOps pipelines with RAG over knowledge graphs.
Lead Data Scientist
Lead hands-on Data Scientist to build and launch the company’s first ML product—personalization and recommendation systems—then scale the Data Science function across e-commerce use cases like forecasting and optimization.