276 to 300 of 324 Machine Learning Engineer Jobs

Agent Platform Endpoints for model serving Cloud-native on GCP. Services run on Kubernetes, with extensive use of BigQuery The Opportunity As a Senior Machine Learning Engineer at Relay, you'll: Own critical part of ML: productionising of our models end-to-end, from training pipeline through ...

Solvo.ai—a London-based company—seeks a skilled Machine Learning Engineer to advance pricing models for global shipping. You will design, build, and deploy models at scale, collaborating with scientists, engineers, and industry experts to deliver real customer value. The role blends research and production, requiring ...

technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.About the roleAs a Principal Machine Learning Engineer, you'll serve as the definitive technical authority on ML engineering across the organisation, setting the standard ...

years of experience, we'll support you with the tools, flexibility, and opportunities to thrive. Win as a Team: We're looking for a Machine Learning Engineer to help build and run production-ready ML systems that make a real impact across the business. You'll work ...

advanced hardware and software to accelerate demanding workloads across AI, cryptography, and high-performance computing. This is a high-impact opportunity for an applied Machine Learning engineer to build simulation environments, frameworks, and tools that help shape the future of computing. What they're looking for: 10+ ...

values collaboration, ownership, and a commitment to delivering high-quality results in a fast‐paced, dynamic environment. We have an exciting opportunity for a Machine Learning Engineer to join our growing technical team at Joybuy (https://www.joybuy.com/). Joybuy is JD.com’s European full ...

Technology Ltd is seeking an experienced embedded firmware/systems engineer with expertise in machine learning and machine vision. The role involves working directly with customers to translate requirements into deliverable embedded solutions, using Python, C and C++ with ML frameworks, and developing production-ready code. ...

hiring an ML Ops Engineer to build and operate the platform capabilities that take machine-learning models from experimentation into reliable production services You’ll own the automation, deployment, observability and operational controls around the ML lifecycle, working closely with research engineers, software engineers, platform teams … training, validation or deploymentExperience designing CI/CD workflows and release processes for ML or other production software systemsExperience deploying, serving and operating machine-learning models in production environments3-7 years’ professional experience in MLOps, ML platform engineering, ML infrastructure, backend engineering, DevOps or SREStrong understanding of observability ...

pioneered a new SOTA model topology that independently measures interactions. Our architecture is federated and non-retentive . We are looking for a Lead Machine Learning Engineer who owns the engineering bridge experimentation between deep model research and the production ecosystem we ship. You would ...

Senior Machine Learning Scientist Aioi R&D Lab – Oxford is an AI R&D company based in Oxford, on a mission to harness AI to understand, predict, and manage risk, helping build a safer, more resilient society. We sit at the intersection of academia and industry, working with … Stay hands-on with technical delivery on selected projects, alongside your leadership responsibilities across multiple engagements. Work with the Lead ML Scientist and Principal Engineer to build ML engineering best practice across the Lab. Work closely with the Project and Account Management teams to design and scope ML solutions ...

have completed their training, see how well they performed, and measure if the training actually improved their skills. The whole platform is built around learning by doing rather than just passive video watching. For your ML engineer role, you'd be building the AI engine that makes … good product-focused software developer as you will be expected to work on different products. Please Bring With You Ability to apply your machine learning knowledge to solve real product problems. At least seven (7) years of experience as a software engineer, with at least 2 years ...

have completed their training, see how well they performed, and measure if the training actually improved their skills. The whole platform is built around learning by doing rather than just passive video watching. For your ML engineer role, you'd be building the AI engine that makes … good product-focused software developer as you will be expected to work on different products. Please bring with you: Ability to apply your machine learning knowledge to solve real product problems. At least seven (7) years of experience as a software engineer, with at least 2 years ...

looking for strong C++ software development experience , ideally gained while building machine learning inference engines, runtime systems, or backend integration frameworks. Experience working with a machine learning inference framework such as LiteRT, TensorFlow Lite, ONNX Runtime, or a similar technology is also important. A good understanding ...

000London AreaMachine Learning EngineerWant to build AI that operates in the real world - not just in a notebook?#We’re looking for an exceptional AI Engineer to develop and deploy state-of-the-art machine learning systems tackling complex problems across computer vision, multimodal sensing, robotics … from experimentation and model development through to deploying robust AI on cloud and resource-constrained edge hardware.What you’ll doDesign, train and deploy deep learning models for challenging real-world problemsWork across computer vision, multimodal AI, perception and autonomyTake models from research and experimentation into productionBuild ...

Senior Machine Learning Infrastructure Engineer London, United Kingdom About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing … multiple positions, however please only apply for the role that best aligns with your skillset and career goals. The Role The Senior ML Infrastructure Engineer will extend and operate the infrastructure that powers our research model training, fine-tuning, and serving pipelines. You will be embedded within our Research ...

other, about UiPath, and about our larger purpose. Could that be you? Your mission: Build the Engine, Not Just the Car We're the Machine Learning Services (MLS) team at UiPath—a small, sharp group of senior engineers building the core platform that powers UiPath's large‐scale … products. Our world is one of distributed systems, high‐throughput model serving, and complex asynchronous training workflows. We're looking for a systems‐level engineer who wants to work on the gnarly, foundational problems of a production ML platform. You'll support a system that handles a massive volume ...

potential to highlight one of Reddit's biggest differentiators: genuinely curated, high-quality, extremely relevant, and daily updated organic content. We are a Machine Learning/Data heavy team with a focus on the following areas:Multimodal & Content Embeddings - Make sense of organic (posts, comments, subreddits) and promoted … auction, as well as the Business Insights product and other advertiser-facing products such as Creative generation and optimization.As a Staff ML Engineer, you’ll be in charge of setting the technical direction of multiple pillars the team owns. You will lead cross-functional ML projects ...

Описание: Rivian develops emissions-free Electric Adventure Vehicles and advanced machine learning algorithms for safety-critical self-driving features. Задачи: Guide the architecture, implementation, and deployment of foundation models that act as learned world models Develop technical strategy and architecture for foundation models as unified world models Develop … Science, Robotics, or a related field 7+ Years of experience building and deploying large-scale ML systems Deep understanding of foundation models, self-supervised learning, and world models in robotics or simulation Strong software engineering background with fluency in Python and C++ Experience training and evaluating transformer models ...

easier for coaches and athletes at any level to capture video, analyze data, share highlights and more.Ready to join us Your RoleOur Applied Machine Learning (AML) team’s vision is to extract valuable insights from video and deliver them to coaches, athletes, and fans at the perfect moment … serving over 230K sports teams across 40+ sports, including 11K+ professional teams. We’re looking for a Lead Quality Assurance Engineer to join our AML Platform squad - the team that designs, builds, and operates our shared MLOps platform, reducing delivery friction, and acting as a force-multiplier for every ...

TensorFlow + Python) Overview We are seeking a highly experienced ML Systems Architect to design and implement a scalable, production-grade architecture for our machine learning solver. This role bridges research prototypes and commercial deployment, ensuring reliability, maintainability, and performance in a mixed technology stack. Responsibilities Architect ...

hackajob is partnering directly with BNY Mellon to hire for this role. Vice President, AI/Machine Learning Data Engineer At BNY, our culture allows us to run our company better and enables employees growth and success.As a leading global financial services company at the heart ...

## Machine Learning Quality EngineerApplylocations: GBR-London-10 Paternoster Square: IND-Hyderabad-CapitaLandtime type: Full timeposted on: Posted Todayjob requisition id: R0120981Corporate Engineering AI (CE AI) TeamThe Corporate Engineering AI team is the central enablement and platform delivery function for LSEG’s internal agentic AI ecosystem. The team ...

that work across problems, modalities and productsDefine new ways to measure and evaluate memory performanceHelp create and deliver production-ready, scalable and high-quality learning models and associated algorithmsCritically assess the effectiveness of such models and make recommendations for the ongoing roadmapWhat we're looking forPhD in Computer Science … Mathematics or related field, or 3+ years of relevant industry experienceExperience creating machine learning algorithms for vision and/or language problems and deploying them as production-level systemsExpert, hands-on knowledge of:Foundational models and vision and/or language, incl. local deployment and model post-training ...

search or recommender systems and their evaluation Proven ownership of a large-scale production ranking system or a substantial class of quality problems Strong machine-learning and software-engineering skills across data, models, serving, and monitoring Ability to drive ambiguous, cross-team problems without continuous task decomposition Exceptional ...

Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at https://risk.lexisnexis.com/About the RoleAs a Software Engineer, you will build and deploy machine learning-powered services, tools, and full-stack applications that support fraud and identity analytics. ...