251 to 275 of 1,462 Permanent Machine Learning Jobs

product-focused, and ideal for someone who enjoys taking ideas from concept to production. What You’ll Be Doing Designing and building production-grade ML and data-driven features Working closely with product and engineering to embed AI into real-world use cases Developing and maintaining data pipelines and model … services, integrations) Improving performance, scalability, and reliability of AI systems Tech & Environment Core: Python (machine learning, data science, AI workflows) AI/ML: Applied ML, data modelling, experimentation Automation/Agents: Agentic workflows, orchestration tools (e.g. n8n or similar) Data: Pipelines, transformation, structured data systems Bonus Exposure: Java ...

Lead ML Engineer - REMOTE We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work … Lennar is seeking a Machine Learning Engineer to own and evolve the infrastructure and surface mechanisms that take our data science and ML models from notebook to production. This is a key role on the Applied AI & Data Science team, sitting at the intersection of software engineering, ML ...

documentation to ensure high-quality deliverables Support model monitoring, debugging, and optimization in real-world applications Stay up to date with emerging AI/ML trends and tools, contributing innovative ideas to the team Your Profile Essential skills/knowledge/experience: (Up to 10, Avoid repetition) Proficiency in Python … applicable) Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field Academic or project experience involving ML models, NLP, or AI systems Exposure to cloud platforms (e.g., AWS, Azure, GCP) is advantageous Understanding of software engineering principles and development lifecycle Internship, coursework ...

research that supports both our applications and the broader scientific community Current areas of interest include large language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models. Key Responsibilities Shape and communicate the strategic vision for research across the organization Oversee multiple high-impact … research projects and ensure alignment with organizational goals Drive breakthroughs in machine learning and artificial intelligence through innovative re-search Mentor and provide leadership to senior researchers and research teams Represent the team in external partnerships, collaborations, and policy discussions Influence organizational research priorities and contribute to policy ...

research that supports both our applications and the broader scientific community Current areas of interest include large language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models. Key Responsibilities Shape and communicate the strategic vision for research across the organization Oversee multiple high-impact … research projects and ensure alignment with organizational goals Drive breakthroughs in machine learning and artificial intelligence through innovative re-search Mentor and provide leadership to senior researchers and research teams Represent the team in external partnerships, collaborations, and policy discussions Influence organizational research priorities and contribute to policy ...

Learning, or related field (or equivalent experience). 5+ years of relevant experience (1+ with PhD, 3+ with MS) as a data scientist, ML engineer, or applied AI developer delivering production-ready models and systems. Strong proficiency in Python and SQL, with experience owning the full data science stack … development frameworks (LangChain, Strands, Amazon Bedrock, AgentCore, or equivalent). Experience with experimentation frameworks (A/B testing, uplift modeling, multi-armed bandits, causal ML). Exposure to machine vision techniques (CNNs, transfer learning, embeddings) and NLP techniques (embeddings, transformers, prompt engineering). Understanding AI agent observability (evaluation ...

Lead high-impact data science initiatives end-to-end, including problem framing, methodology selection, experiment development, implementation partnership, and impact measurement. Build and deliver machine learning and reinforcement learning solutions to improve player engagement, retention, monetization, and operational outcomes. Lead the modeling framework for complex systems, guaranteeing … related quantitative field, or equivalent experience in practice. Experience: 5+ years of professional data science experience. You have delivered at least 3 data or ML products from problem definition to production deployment and monitoring. Demonstrated proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics. Hands-on experience ...

ML Ops Engineer Role Overview Were hiring an ML Ops Engineer to own the reliability, scalability, and operational integrity of our machine-learning systems in research & production. This role sits at the intersection of data engineering and ML infrastructure: youll design and operate data pipelines that feed models ...

mentorship while helping shape the technical foundations of the business. Strong junior and mid-level engineers are encouraged to apply. 🔹 Build and deploy ML models 🔹 Work with time-series, sensor & geospatial data 🔹 Develop real-world AI systems 🔹 Influence product and technical direction from day one Looking for experience with: ✔ Python … PyTorch/TensorFlow/Scikit-learn ✔ Production ML systems ✔ AWS/GCP/Azure Bonus points for MLOps, signal processing, maritime or offshore energy experience. If interested, please apply or message directly. ...

hiring in Miami, London and Milan. Description -- Role: expected to contribute to production grade proprietary trading systems, deploy state of the art AI/ML, develop novel AI/ML models, experiment with and develop novel trading ideas, explore new datasets. -- Required: experience training ML models end to end (from … data processing to fine tuning), experience training across transformers/generative models/RL, publications in either top tier ML conferences (e.g., NeurIPS, ICLR, ICML, JMLR, etc.) or top scientific journals, top tier institutions/industry experiences. -- Positives but not requirement: PhD. Reference: AMC/AHU/NW/SPH001 ...

vehicle logs and simulation outputs to curated, labelled, and model-ready datasets. This includes handling multimodal sensor data, scaling labelling through both human and ML-based workflows, and enabling intelligent selection of high-value data from thousands of hours of real-world and simulated driving. This role sits close … into training-ready datasets Support hand-labelled and auto-labelled data pipelines, including validation and quality control Help build and scale autolabelling systems, where ML models generate annotations across large datasets Support intelligent data curation and selection from thousands of hours of real-world and simulated driving Generate and process ...

market. The product team is ambitious and well-resourced, with a long-term roadmap and real appetite for innovation - including AI and machine learning integration. The Role You'll be the voice of the user across the product team - owning the research programmes that shape product direction … research - interviews, surveys, observational studies, and usability evaluations Translating findings into personas, journey maps, wireframes, prototypes, and user flows Designing UX for AI and machine learning-powered features, including efficacy testing and governance Running usability tests, iterating on designs based on evidence Collaborating with product managers, engineers ...

creator ecosystem, and developing models for strategic content valuation. Multi-objective balancing and long term measurement. We rely extensively on state-of-the-art ML around personalization, deep learning, causal inference, optimization, ranking and recommendation. What You’ll Do Within the Sharechat AI team, we are looking … engagement while minimizing server and cloud costs of serving large scale models, and act as a subject matter expert in the recommender systems and ML ranking domains. You would be joining us at an exciting time! The science behind recommendation systems is rapidly changing, and we’re making big progress ...

performance, and operational throughput Utilize SQL, Python/Scala, cloud services, and big data tools (e.g., Spark, Hadoop) to support advanced analytics, AI/ML, and decision advantage missions Additional duties as assigned or required What we are looking for 9 years relevant experience with Bachelors in related field … technology solutions that safeguard our seas, sky, land, space and cyber. Our workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals. Recognized as one of America's top large company employers, we are a values ...

SeniorML Systems Engineers - Vision ML/Visual Data Processing A privately backed AI technology company operating at the intersection of machine learning in the media industry. You will own core ML infrastructure end to end, from data ingestion and curation through to distributed training and production inference, working … scale multimodal datasets (video, embeddings, metadata). This is not a research role. The focus is on productionising models, building reliable platforms, and making ML systems fast and scalable in a real production environment. The ideal profile is an ML engineer transitioning from research into platform ownership - someone ...

system evolution. Develop and maintain backend Python services, APIs and microservices supporting AI-powered applications. Integrate Large Language Models (LLMs), AI services and machine learning capabilities into production systems. Own complex technical challenges relating to performance, reliability, scalability and system integration. Implement and support DevOps and MLOps practices … from design through deployment and support. Strong stakeholder management and communication skills. Desirable Experience Experience with machine learning solutions and ML model deployment. Experience with computer vision technologies. Exposure to MLOps frameworks and AI infrastructure management. Experience building AI assistants, chatbots or agent-based systems. Knowledge of cloud ...

Skills PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related field Demonstrated research background in AI/ML, particularly in LLM or agentic AI, with either publications, preprints, or patents Excellent programming skills in Python, with experience in research‐oriented code development … version control (git) Experience with machine learning and deep learning frameworks (e.g., PyTorch, TensorFlow) Strong foundation in experimental design, statistical analysis, and model evaluation Ability to effectively communicate complex research ideas to both technical and non‐technical audiences Nice to Have Research experience in areas such ...

service-to-service communication. • Ability to document system architectures, APIs, and technical interfaces clearly and logically. Preferred Requirements • Experience integrating or deploying AI/ML models using modern frameworks (PyTorch, TensorFlow, ONNX). • Familiarity with real time data streaming technologies (e.g., Kafka). • Experience with DoD training or simulation environments … technology solutions that safeguard our seas, sky, land, space and cyber. Our workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals. Recognized as one of America's top large company employers, we are a values ...

needs. You will also influence senior stakeholders, shape roadmaps, and drive measurable outcomes across the organisation. Responsibilities Set AI and data science strategy across ML, NLP, search, recommendation, experimentation, and generative AI, aligning work to product goals, customer needs, and business priorities. Lead and develop high-performing teams by coaching … cross-functional leaders, shaping roadmaps, translating technical insights, and aligning teams on customer and business impact. Requirements Significant experience in data science, AI/ML, NLP, information retrieval, statistics, or a related quantitative field, or equivalent practical experience. Strong technical expertise across modern data science methods, including machine learning ...

team undergoing significant transformation, moving from reactive operational delivery into a highly product-led, data-driven environment with a strong focus on automation, machine learning and scalable product strategy. This is a genuinely high ownership role where product thinking, leadership and execution matter more than ticking every domain … representment success and operational efficiency • Collaborating with senior stakeholders across multiple business functions to influence direction and prioritisation • Partnering with engineering teams to build machine learning-driven capabilities focused on predictive dispute defence • Translating complex payment ecosystem challenges into clear product opportunities and deliverables • Scaling and growing ...

complex technical outputs into clear, compelling insights for senior stakeholders. Drive experimentation and optimisation initiatives to improve performance across commercial channels. Champion AI and machine learning innovation, staying ahead of industry best practice. Promote ethical data use, governance and compliance across all analytics initiatives. What You Bring … working with large datasets and distributed computing tools such as Azure Synapse and Snowflake. Familiarity with data transformation tools (Databricks, Azure Data Factory) and ML platforms (Azure ML, TensorFlow). Experience with data visualisation tools such as Power BI. Strong commercial acumen with the ability to translate business problems into ...

Lead AI/ML Engineer (Platform, kubeflow) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure … forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities ...

Lead AI/ML Engineer (Platform, kubeflow) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure … forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities ...

wide application of technical principles, theories, and concepts within statistics, analytics, and model validation. General knowledge of related disciplines such as data engineering, machine learning, linguistics, or systems analysis. Ability to provide technical solutions to a wide range of complex and difficult problems. Strong proficiency with statistical programming … technology solutions that safeguard our seas, sky, land, space and cyber. Our workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals. Recognized as one of America's top large company employers, we are a values ...

across a wide array of user applications (incl. Communications, Sensing, Data Fusion, and Electronic Warfare). Experience in state-of-practice approaches to Cognitive, Machine Learning, or AI algorithm development, training, and testing methods. Model Based Engineering (MBE) & Digital Twins - Applications of industry MBE Tools for system modeling … technology solutions that safeguard our seas, sky, land, space and cyber. Our workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals. Recognized as one of America's top large company employers, we are a values ...