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Build and improve ranking and personalisation models for a global ecommerce marketplace, blending new verticals (groceries, retail) into existing restaurant-focused surfaces to drive user adoption and engagement.
Senior Machine Learning Scientist London (Remote) The Company They are an innovative technology business leveraging advanced machine learning, natural language processing, and Generative AI to help organisations…
Senior ML engineer on Google's mosquito-borne disease eradication program, building computer vision pipelines (object detection, image segmentation) and statistical population models, then deploying them to production using Python/Java/Go/C++ and deep learning.
Design and implement end-to-end computer vision pipelines—including object detection, 3D reconstruction, 6D localization, and closed-loop perception for robot manipulation—taking prototypes to production in a battery recycling environment.
The Senior AI/ML Engineer will build and scale production-grade Generative AI solutions, including LLMs, RAG, and AI agents, for construction software products. The role requires strong software engineering skills, proficiency in Python, and experience with Azure or AWS cloud platforms.
Develops and maintains AI/ML platform components, including GenAI guardrails, Kubernetes deployments, and CI/CD pipelines for Swiss Post’s internal tools and services.
Designs and maintains high-performance Python applications for AI/ML use cases, focusing on scalable backend systems, APIs, and data pipelines while collaborating with cross-functional teams to optimize production systems and mentor developers.
Design, train, and optimize deep learning models for object detection, tracking, and activity recognition on Woven by Toyota's Digital Twin Platform using PyTorch/TensorFlow in industrial/logistics environments.
Build and scale ML systems, MLOps, and agentic AI workflows for a leading Thai food platform, integrating models into production via APIs and microservices.
Leads AI product development by designing scalable agentic systems, optimizing LLMs for production, and mentoring teams on MLOps best practices for digital assistants.
Senior Product Manager leads AI/ML product strategy for logistics tech, defining roadmaps for models (e.g., ETA prediction, scheduling) and driving pilots to production at Ryder’s Baton unit.
Senior AI/ML Engineer designing, optimizing, and validating enterprise-grade LLM and RAG solutions in Python, leading technical audits, building evaluation frameworks, and mentoring teams.
The Senior AI/ML Engineer will work within an MLOps team to deploy, monitor, and optimize machine learning models in production environments. The role involves building CI/CD pipelines and collaborating with data scientists using cloud platforms like AWS, GCP, or Azure.
Senior AI/ML Engineer on an MLOps team, deploying and monitoring machine learning models in production on cloud platforms using Python, CI/CD pipelines, and ML frameworks like TensorFlow and PyTorch.
Our client is a global leader in cybersecurity for IT, OT, and ICS critical infrastructure. Their end-to-end platform gives enterprises and public sector organizations the critical advantage they need to protect…
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and…
Do you want to join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon’s customers? Do you want to build and…
WHO YOU WILL WORK WITH You will work closely with business stakeholders, product owners, and your peers within the engineering team to ensure the successful delivery of solutions. Additionally, you will work with other…
Senior ML Engineer on the Advanced Analytics team at John Hancock/Manulife, responsible for packaging models, building MLOps/LLMOps infrastructure, and deploying ML and Generative AI solutions for the insurance division using Python, cloud platforms, and containerization.
The Senior Machine Learning Engineer will design and deploy production-ready AI solutions, including LLMs and agentic workflows, for the financial services industry. The role involves building scalable APIs, microservices, and MLOps infrastructure to integrate AI capabilities into Q2's digital banking ecosystem.
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