26 to 37 of 37 Remote Machine Learning Engineer Jobs

Machine Learning Engineer (Computer Network Architect) Company: cPacket Networks, Inc. Location: Milpitas, CA Position Type: Full Time Experience: See below for details Education: See below for details Opening for Machine Learning Engineer (Computer Network Architect) wanted by cPacket Networks, Inc. Design network tools. Analyze and build network data process models to detect anomalies w More ❯

and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: This job will lead the design, development, and implementation of advanced machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML … pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences. Job Description: Essential Responsibilities: Lead the development and optimization of advanced machine learning models. Oversee the preprocessing and analysis of large datasets. Deploy and maintain ML solutions in production environments. Collaborate with cross-functional teams to integrate ML models into … MSc or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.) Proficiency in SQL, Python and relevant ML frameworks, packages, and tools Experience with developing machine learning models at scale from inception to business impact Experience in designing ML pipelines, including model versioning, model deployment, model testing, and monitoring Experience working in a multi More ❯

Machine learning. A long way has come since Sci-Fi films like Terminator and iRobot got us thinking about robots taking over the world. But in the 2020s, hearing AI and machines in the same sentence means a world of innovation. This is a chance to be part of a brand new Machine Learning team within one … for model training and evaluation, collaborating with Data Scientists and Engineers to get these solutions into production, and driving improvements in MLOps processes. You'll have worked as a Machine Learning Engineer or Data Scientist in the past, ideally centred around a software product, and have solid Python coding skills, and expertise with cloud infrastructure (preferably AWS … tools such as MLflow and Airflow is essential, with any knowledge of AI SaaS or GenAI APIs being is a bonus. But what truly matters is your passion for learning and advancing technology. In return, you'll be offered a supportive team culture with flexible, hybrid work options and room for professional growth. If you're eager to contribute More ❯

of policies so far, and raised over $200 million in funding. And we're only just getting started. Who we're looking for We are looking for a Lead Machine Learning Engineer to play a key role in our Core Pricing team. You will drive innovation by optimising and automating Pricing processes to enable faster, more accurate … Model lifecycle: You've got hands-on experience with managing the ML model lifecycle, including both online and batch processes Statistical Methodology: You have worked with GLMs and other machine learning algorithms and have in-depth knowledge of how they work Python: You have built and deployed production-grade Python applications and you are familiar with data science More ❯

better decisions and help fashion partners find better audiences as the category-leading destination for every fashion shopper. Role We're looking for a commercially minded and technically strong Machine Learning Engineer to join our Product Listings team-focused on unlocking smarter, more scalable advertising through automation and optimisation. This is a hybrid role combining deep data … business outcomes. You'll collaborate closely with marketers, data analysts and engineers, and play a key part in shaping the future of how we scale our advertising. Responsibilities Productionise Machine Learning models into robust, maintainable systems-including retraining pipelines, monitoring, and performance alerting Build and evaluate ML models that support smarter paid marketing-e.g. product-level ROAS prediction … Your health is important to us which is why we offer all employees a comprehensive healthcare scheme from the day you start. Training Allowance: We're big on continuous learning and growth, so all employees are currently entitled to an annual training allowance of £1,000. This can be used to attend conferences, industry events, training courses and to More ❯

Speechmatics is a cutting-edge applied AI Research company that is breaking down cultural barriers by building diverse and inclusive speech technology. We are looking for an experienced Machine Learning Engineer who can help us advance our automatic speech recognition (ASR) engines for Flow, our new Conversational AI companion and create interactive voice interfaces of the future … of audio and billion parameter modelswhich train across dozens of GPUs. It's all about finding bottlenecks across our 50+ languages. Our main research focuses arelarge-scale self-supervised learning, building state-of-the-art speech pipelines and breaking ground on our own emotive text-to-speech (TTS) models. What you'll be doing Working with a diverse group … of engineers across Speechmatics. Scaling self-supervised learning models across hundreds of GPUs in the cloud. Experimenting with distillation or quantisation to speed up our models at runtime. Comparing compute efficiencies of architectures such as a transformer and the impact on WER. Developing new, state-of-the-art AI features, from training models, all the way to shipping it More ❯

Speechmatics is a cutting-edge applied AI Research company that is breaking down cultural barriers by building diverse and inclusive speech technology. We are looking for an experienced Machine Learning Engineer who can help us advance our automatic speech recognition (ASR) engines for Flow, our new Conversational AI companion and create interactive voice interfaces of the future … of audio and billion parameter modelswhich train across dozens of GPUs. It's all about finding bottlenecks across our 50+ languages. Our main research focuses arelarge-scale self-supervised learning, building state-of-the-art speech pipelines and breaking ground on our own emotive text-to-speech (TTS) models. What you'll be doing Working with a diverse group … of engineers across Speechmatics. Scaling self-supervised learning models across hundreds of GPUs in the cloud. Experimenting with distillation or quantisation to speed up our models at runtime. Comparing compute efficiencies of architectures such as a transformer and the impact on WER. Developing new, state-of-the-art AI features, from training models, all the way to shipping it More ❯

Senior AI/Machine Learning Engineer Remote – UK Competitive Salary + Equity About the Role Our client, a leader in blockchain analytics, is seeking a Senior AI/ML Engineer to help develop cutting-edge models that analyse vast amounts of blockchain data. This role is central to building innovative AI-powered solutions that uncover patterns More ❯

experience together. Location: We are open to this person working hybrid from our office in Galway or remote within Ireland Description: The Conversational AI group are seeking a Staff Machine Learning Engineer to join the team and drive the innovation and evolution of our Conversational AI solutions with a focus on Generative AI systems at global scale … problem-solving skills and ability to work in a fast-paced, collaborative environment. Independent judgment in developing novel approaches to challenging AI problems. Desirable Experience or an Interest in Learning : Experience with Large Language Models (LLMs) and their application in conversational systems. Hands-on experience with fine-tuning and prompt engineering. Knowledge of multi-agent systems/frameworks and … agentic AI architectures. Familiarity with voice AI technologies and multimodal conversational interfaces. Experience with MLOps and deploying AI systems at scale. Background in reinforcement learning for dialogue optimization. Understanding of enterprise AI governance and responsible AI practices. Interest in emerging areas, such as tool-using AI agents and autonomous decision-making systems. Experience with cloud platforms (particularly AWS) and More ❯

the main focus on developing and implementing Agentic AI evaluation techniques, using strategies such as LLM-as-judge. As an MLE, you will work within a multidisciplinary team of machine learning engineers and software engineers building the Agentic AI platform, and liaise closely with downstream teams using the platform to build agentic applications. These applications range from consumer … for GenAI evaluations across the business and working closely with downstream teams and product partners to align evaluation strategies with business needs. Requirements 5+ years' experience as an ML Engineer or Data Scientist 5+ years' experience writing production code in Python Experience using tools like Git, Docker, Kubernetes, CircleCI Experience productionising Generative AI workstreams or Agentic AI projects You … working from home and a parent-friendly working culture Access to free mortgage advice Cycle to Work Scheme or Season Ticket Loans, depending how you wish to travel Excellent learning and development opportunities and access to RooLearn, our learning platform, packed with high-quality training and content Regular Employee Resource Group (ERG) led social events - examples include dinners More ❯

deploying AI models. Build platform abstractions to manage cloud-native infrastructure across AWS, GCP, or Azure environments. Build and maintain automated pipelines for continuous training, testing, and deployment of machine learning models, with integrated enterprise concerns. Ensure the security and compliance of the platform. Troubleshoot and resolve issues related to platform performance and reliability. Refine business and functional … arise when we work together in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients More ❯

chance to make a significant contribution to projects that push the boundaries of what's possible in computer vision - while enjoying a highly competitive package. As a Computer Vision Engineer, you will play a central role in developing and deploying systems that achieve state-of-the-art accuracy in detection, segmentation, and tracking. You will be working in an … environment that values technical depth, rigorous research, and practical application of cutting-edge ideas. Key responsibilities include: Designing and optimising deep learning models for real-world performance. Building robust computer vision pipelines for detection, segmentation, and tracking. Combining classical computer vision methods (OpenCV, feature extraction, motion tracking) with modern CNN architectures. Experimenting with advanced detection and segmentation heads to … science techniques to evaluate and refine models. Contributing to a collaborative research culture, sharing insights and results with peers. Key experience needed: Proven experience in optimising and deploying deep learning models at scale. Expertise in OpenCV and classical computer vision approaches. Strong knowledge of CNN building blocks, training dynamics, and segmentation/detection techniques. Skilled in dataset curation and More ❯