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Working as a Machine Learning Engineer, you will develop cutting-edge AI technologies for Snap's Generative ML Platform team, which powers creative and scalable experiences for Snapchatters worldwide.
This Machine Learning Engineer role is within the Search & Recommendations team, where the focus is on building machine learning systems that help millions of customers discover products daily.
Joining a leading FinTech, the Machine Learning Engineer will build production-grade machine learning and AI solutions that drive smarter decisions, automate processes, and create measurable business value.
This engineering role focuses on developing and adapting Large Language Models (LLM) and Natural Language Processing (NLP) methodologies using artificial intelligence and machine learning (AI/ML) frameworks and programming languages.
This role is for a Machine Learning Engineer to join the Personalization & Recommendations (PnR) team at FOX Corporation, focusing on evolving personalized content discovery across streaming products.
This role focuses on leading the development of AI and machine learning capabilities within the infrastructure group, transforming prototypes into production-grade systems, and designing scalable AI infrastructure.
Machine Learning Engineers at Lucid develop scalable auto-labeling technologies to transform fleet-collected sensor data into high-quality training datasets with minimal human intervention.
This contract assignment with a banking client involves designing, building, and operating scalable machine learning platforms and production ML systems.
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Working with teams to transform design data and historical builds into actionable planning outputs and product part suggestions is the core of this Machine Learning Engineer role. You will also manage the evaluation loop to ensure these outputs are reliable enough for approval.
Machine Learning Engineers build, deploy, and continuously improve intelligent systems that help the business make better decisions at scale. This role involves owning the complete lifecycle, from understanding business problems and developing models to deploying them into production, monitoring…
This engineering job involves developing groundbreaking features that leverage medical expertise, technical skills, and a deep understanding of user needs, with a focus on rapid adoption of new technologies like LLMs.
This senior-level Machine Learning Engineer role is central to how Canals scales and delivers value through AI, owning end-to-end ML pipelines and shaping product features. The position suits an engineer who can move quickly while maintaining high quality and delivering real-world impact.
This engineering role focuses on developing cutting-edge Generative AI solutions, specifically building agentic AI workflows, fine-tuning Large Language Models (LLMs) using SFT and LoRA techniques, and deploying scalable deep learning models on AWS.
This position offers the opportunity to apply the latest state-of-the-art in AI/ML and data science to global and key strategic projects. As a Senior Machine Learning Engineer, you will play a key role in turning innovative ML research into scalable, real-world solutions that power global…
This Machine Learning Engineer role focuses on developing next-generation models for longitudinal microbiome systems within the life sciences. It involves creating new computational methodologies and translating research into reproducible scientific technology, rather than simply applying standard…
Making a difference in the world's most impactful global insurance provider, Zurich Canada, is the core of this Machine Learning / AI Engineer role. You will design, develop, and operationalize scalable AI and machine learning solutions within a modern cloud data and AI ecosystem.
Manulife is seeking an innovative and experienced Machine Learning Engineer to join its AI + Data team, a cross-functional group spanning Operations, Technology, and Marketing.
This Machine Learning Engineer role involves developing and deploying models for Piai, the company's proprietary claims-intelligence platform, with a focus on machine learning, natural-language processing, and generative AI.
This Machine Learning Engineer role offers an unparalleled educational experience, providing a real sense of working at Jane Street. You will collaborate with full-time mentors on real-world ML projects, focusing on machine learning applications and techniques within the company's global business.
This Machine Learning Engineer role involves taking models from initial experimentation through to production within a scaling fintech company. The position combines hands-on model development with the necessary engineering to ensure models are useful, reliable, and maintainable.
Working directly with Data Scientists, Machine Learning Engineers, Engineering teams, and the CTO/Co-Founder, this role focuses on building pipelines and ad optimization models for a digital advertising platform.
This engineering role involves improving how the company's product, Soundfr, recognizes everyday sounds in people's homes. The engineer will develop pipelines for training personalized models from user recordings, enhance detection performance evaluation, and deploy efficient models to connected…
This engineering role involves building software to support the machine learning development cycle, from data generation and model training to deployment and monitoring of production ML systems in real customer environments.
This engineering role focuses on building, deploying, and operating production-grade machine learning solutions within a modern Databricks environment.
This engineering role focuses on developing cutting-edge Generative AI solutions, specifically building agentic AI workflows and fine-tuning Large Language Models (LLMs) using SFT and LoRA techniques.
This foundational role will shape how Abaka builds, trains, and optimizes multimodal AI systems. You will own the design and development of scalable training pipelines, work directly with data engineering and research teams, and help drive the technical roadmap for model development across multiple…
This Staff Machine Learning Engineer role involves designing and building production-grade, multi-agent AI systems for a growing Fin Tech company. The successful candidate will contribute to advisor copilots, investment intelligence, workflow automation, and autonomous research, working with modern…
This Machine Learning Engineer role focuses on MLOps and AI Infrastructure, developing, deploying, automating, and maintaining scalable machine-learning systems.
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This role involves owning the machine learning systems behind Hirivo, focusing on job-matching, ranking models, and LLM agents for reading job adverts and filling application forms.
Uber Freight Marketplace is building the next generation of logistics technology by leveraging Uber's proven marketplace playbook to freight. As part of a small, high-impact team, you'll help bring expertise from Uber's mobility and delivery marketplaces into a rapidly evolving industry, developing…
This Senior Staff Machine Learning Engineer role involves leading the AI development for Altana Nexus, an agentic platform focused on global trade. The position requires working with continuous streams of public and proprietary trade data to build models and AI agents that facilitate real-time…
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This role involves designing, building, and maintaining robust, scalable AI solutions within a DevOps environment as part of an agile development team in the ML & AI field. It suits a skilled machine learning engineer who can address complex business challenges through innovative AI applications.
This onsite role in Boston, MA, involves building frontier-quality GenAI assets with the FAI team. You will design, build, and maintain systems that support the training and evaluation of GenAI models at a large scale, collaborating closely with Applied Scientists to turn research into reliable…
This Staff Machine Learning Engineer role involves architecting and leading the development of scalable, production-grade ML systems to solve complex business challenges.
This role is for an experienced Machine Learning Engineer to join Virtu's Research Technology team, focusing on building infrastructure for quantitative researchers.
This senior Machine Learning Engineer role focuses on designing, implementing, and maintaining the full machine learning lifecycle, from data preparation to deployment and retraining.
As a Machine Learning Engineer at Arkeus, you will join a team of specialists working at the intersection of machine learning, computer vision, optical science, and engineering design.
This senior engineering role involves working end-to-end across the machine learning lifecycle within an AI and Machine Learning squad.
This Machine Learning Engineer role involves designing, developing, and deploying advanced machine learning models to enhance products and services.
This engineering role involves turning machine learning and generative AI models into production-ready products on Google Cloud Platform for a major Dutch airline.
Developing advanced machine learning systems that address complex business challenges is at the core of this role. The Machine Learning Engineer will create and refine systems that power Kensho products, ensuring that AI agents effectively utilize trusted data sources.
This engineering role focuses on designing, developing, and deploying machine learning solutions to support business objectives. The successful candidate will collaborate with data scientists, data engineers, and business stakeholders to build scalable AI/ML models and integrate…
This role focuses on designing, building, and operating production-grade AI and LLM-powered applications. The Machine Learning Engineer will deliver scalable, secure, and reliable backend services within an enterprise AI platform across development, test, and production…
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This part-time contract role involves training AI systems by creating, solving, and validating challenging machine learning engineering tasks, from training and inference workflows to numerical and performance work.
This engineering role focuses on developing and optimizing machine learning models, including large language models, and deploying them into production. It suits a candidate with a strong foundation in Python, statistics, and machine learning fundamentals.
This Machine Learning Engineer role involves designing, building, and maintaining robust, scalable AI solutions within a DevOps environment as part of an agile development team in the ML & AI field.
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This role involves building the intelligence for an early-stage UK AI startup focused on addressing the global mental health crisis affecting Generation Z. You will work within the founding technical team to design, develop, and optimise the AI systems powering the platform.
This engineering role focuses on designing, productionizing, deploying, and operating machine learning solutions to support management decisions within the Data Platforms & Solutions team.
This engineering role focuses on applying machine learning to understand and process large datasets, conducting statistical analyses on business processes, and delivering customer-focused solutions.
Making machine learning models ready for production use is the core of this role, together with deploying, monitoring and scaling them.