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Director & Principal Engineer, AI/ML & MLOps Platform
Lead a team to design and build scalable AI/ML and MLOps platforms for credit decisioning and risk management, using Python, Spark, Kafka, and cloud tools like AWS/Azure.
Senior ML Engineer: LLMs, Data Pipelines & Production AI
Leads LLM/NLP model development and builds production-grade AI systems with robust data pipelines for Earth data solutions.
DevOps Engineer
Designs and maintains cloud-based AI platforms, automating deployments and MLOps workflows for scalable, secure AI/ML applications using Kubernetes, Terraform, and CI/CD pipelines.
Data Scientist
Builds and deploys AI/ML models to enhance CHAMP’s logistics software (e.g., Cargospot/Traxon), focusing on predictive analytics, automation, and customer-facing decision tools for air cargo optimization.
Machine Learning Engineer
Build and deploy ML tools (LLMs, multimodal, GenAI) to automate engineering workflows for an electric flying-taxi startup.
Technical Pricing Analyst - eFinancialCareers
Technical Pricing Analyst London (Hybrid) | £70,000 - £85,000 + Bonus & Benefits Selby Jennings is partnered with a leading global specialty insurer that is investing heavily in its pricing, data, and analytics…
Head of AI Solutions, COO Technology - MD C16 - Citi
Discover your future at Citi Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you'll have the opportunity…
Principal Data Scientist - Aristocrat
Are you ready to join a world-class team and make a significant impact on the gaming industry? At Aristocrat, we aim to bring happiness to life through the power of play. We seek a Principal Data Scientist to help us…
Lead Embedded Systems Engineer
Lead the architecture and development of an intelligent, distributed IoT platform for next-generation smart bed technology using embedded Linux, C/C++, Go, MQTT, and AI-driven sleep optimization.
Talent Community - MLOps Engineer
Build and maintain scalable ML pipelines and infrastructure for AI-driven projects using Docker, Kubernetes, and cloud platforms like AWS/GCP/Azure.
Data Engineer (MLOps / Analytics Focus)
Build and maintain scalable data pipelines in Databricks, deploy ML models with MLflow, and create Power BI dashboards to support analytics and reporting.
Senior Machine Learning Engineer
Designs, builds, and deploys production-grade ML systems (LLMs, pipelines, and automation tools) for a mid-market professional services firm’s AI-driven internal workflows, collaborating with data scientists, engineers, and stakeholders.
Lead AI Security Architect
Lead the design of secure AI platforms, embedding privacy, compliance, and risk controls into ML pipelines and model deployments while aligning with regulations like PDPA.
Senior AI Solution Architect
Designs and architects enterprise-scale AI solutions, integrating LLMs, RAG, and cloud AI platforms like Azure AI and AWS SageMaker into secure, scalable systems.
0825 - 283(4LAT) | Machine Learning Engineer (On-Site Consultant)
Design and deploy ML models using Python, TensorFlow/PyTorch, and MLOps tools; collaborate with data scientists to build scalable AI systems for real-world applications.
1225 - 403BAU | MLOps Engineer Senior
Senior MLOps Engineer builds and maintains scalable ML pipelines on AWS/Azure using SageMaker, MLFlow, and IaC tools like Terraform to deploy and monitor production models.
Platform Engineer
Build and maintain the infrastructure that powers large-scale AI platforms, including RAG systems, APIs, and MLOps, across AWS GovCloud, on-prem, and multi-cloud environments.
Solutions Architect - Databricks
Design and govern enterprise AI architectures on Databricks, including MLOps pipelines, Unity Catalog governance, and generative AI use cases, while aligning with business objectives and compliance standards.
AI Engineer – Model Training & Deployment
Build and deploy deep-learning models for industrial robotics, training vision and control models to run on real robotic work cells in factories.
Data Engineer
Designs and deploys AI/ML models (CV, NLP, recommendations, synthetic AI) from concept to production, collaborating with stakeholders and cross-functional teams.