676 to 700 of 2,601 Remote Machine Learning Jobs

societal impacts using your skills.Working at the intersection of client needs and engineering excellence, you will ensure that our solutions, spanning GenAI and traditional ML, are technically feasible, cost-efficient, and ready for the rigors of the real world.If you are a builder who thrives on deploying production-grade … Your key responsibilities will include:Technical Architecture & EngineeringArchitect End-to-End AI Systems: Design scalable, secure, and production-ready architectures that integrate LLMs and ML models into complex enterprise workflows.Bridge Design & Implementation: Oversee the full technical lifecycle, from selecting the right model architectures to ensuring robust CI/ ...

considered 10+ years in software engineering, data engineering, or solution architecture, including at least 3–5 years focused specifically on applied AI/ML or generative AI, with proven hands‐on architecture experience with frontier large language models and multi‐modal models — including prompt engineering, fine‐tuning, RAG, and agentic … other regulated‐industry delivery experience (financial services, healthcare, government) Relevant certifications (e.g. Azure AI Engineer Associate, AWS Certified Machine Learning, Google Professional ML Engineer) Experience building or scaling an AI Centre of Excellence or comparable practice capability within a consulting organisation Published thought leadership, patents, or conference speaking ...

research. Strong software engineering skills, with a track record of building and maintaining production‐quality systems. Expert‐level Python experience with numerical, statistical, or ML libraries (e.g. NumPy, pandas, PyTorch, JAX, TensorFlow). Deep understanding of statistical modelling, optimisation, or machine‐learning techniques. Experience building and operating backend … systems and data pipelines in a cloud environment (e.g. AWS, GCP, or Azure). Experience validating, testing, and deploying quantitative or ML models. Comfortable working autonomously in a small, senior team, partnering closely with Founders. Strong analytical judgement, communication skills, and attention to detail. Experience with designing and refining large ...

your opportunityYour roleAs a Lead GenAI System Architect, you will solve our clients’ most challenging business problems by applying Generative AI and other ML techniques to design, deliver and operate robust and cutting-edge solutions. In this role, you may be expected to:Engage directly with senior client stakeholders … strong quantitative, computer science, or engineering backgrounds in a related field will also be considered.Extensive experience designing, developing, and deploying enterprise-grade AI/ML solutions, including experience managing technical teams and stakeholder relationships.Deep domain expertise in applying AI and Generative AI within a regulated or data-rich industry (e.g. ...

complex challenges and maximize the value of their data. At Deloitte, you will be able to build your career, access the best training and learning opportunities, and develop new skills and hone existing ones. We work for a huge variety of interesting, international, and world-leading clients on exciting … date with the latest generative AI technologies, trends, and best practices.Connect to your skills and professional experience Candidates must have experience in AI/ML Engineering involving some or all the following areas:Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics, or a related field.Experience leading the delivery ...

with engineering teams to uplift security and DevOps culture across the organisation Benefits of joining us Cutting-Edge Technology: Work with modern AI, from machine learning models to agentic systems Inclusive Work Culture: Collaborative environment emphasizing mutual respect Flexible Working Hours: Arrangements that … prioritize productivity and work-life balance Real-World Impact: Build AI systems that accelerate global technological innovation Continuous Learning: Opportunities to grow in ML engineering, product design, and systems architecture Hybrid Working: 2-3 days per week from our Shoreditch #J-18808-Ljbffr ...

with different levels of the hierarchy, especially with Development Leads, Quantitative Analytics teams and Risk ManagersAssess feasibility, risks, and data readiness for AI/ML/GenAI opportunitiesWork with data owners, stewards and architects to identify required data sources, understand data lineage and constraintsEnsure requirements include data quality, metadata … have” skills:BA/SCRUM/PM qualificationsMaster Data Management, data governance, data modelling exposureTools: JIRA, Confluence, etc.Experience working on projects that use AI, ML or advanced analytics – ideally from discovery through to adoption.Experience collaborating around BI/analytics tools (Power BI, Tableau, etc.)Exposure to AI platforms (e.g. Azure ...

communicate project progress, and ensure alignment with their strategic/project goals. As an influential member of the team, you’ll create a positive learning culture and will coach and counsel junior members of the team and help them develop. Working in multi-disciplinary teams across a range … PowerBI, Tableau, Qlik Programming languages: SQL, Python, R Cloud computing platforms: Azure, AWS, GCP Data Strategy Data Manipulation and ETL Data Analysis & Visualization Applying machine learning statistical analysis and other advanced analytics techniques to key business issues faced by our clients that can transform and improve their entire ...

different levels of the hierarchy, especially with Development Leads, Quantitative Analytics teams and Risk Managers* Assess feasibility, risks, and data readiness for AI/ML/GenAI opportunities* Work with data owners, stewards and architects to identify required **data sources**, understand **data lineage** and constraints* Ensure requirements include **data quality …/SCRUM/PM qualifications* Master Data Management, data governance, data modelling exposure* Tools: JIRA, Confluence, etc.* Experience working on projects that use AI, ML or advanced analytics – ideally from discovery through to adoption.* Experience collaborating around BI/analytics tools (Power BI, Tableau, etc.)* Exposure to AI platforms (e.g. ...

applications, including novel approaches to reasoning, summarisation, and interactivity.Make strategic decisions about GenAI model architectures, training approaches, and deployment strategies.Implement cutting edge ML/AI research in the context of cybersecurity.Build production ready AI systems that operate at CrowdStrike’s massive scale.Mentor and guide scientists while fostering a culture … journals and conferences.Experience with cybersecurity applications of machine learning.Track record of successful research-to-production implementations at scale.History of contributions to open-source ML projects.#LI-AV1#LI-RemoteBenefits of Working at CrowdStrike: Market leader in compensation and equity awardsComprehensive physical and mental wellness programsCompetitive vacation and holidays for rechargePaid parental ...

restricted environments. About the Team Learn more about our work and the team on our website, recent blog post featuring one of our senior machine learning engineers and our latest Voices of Viridien. Key responsibilities Design and implement production architectures for agentic AI, LLM and vision‐language applications. … your choice! Buy & Sell Holiday Programme - you can buy extra holiday, sell unused holiday or even save it up! Relaxed dress code policy Learning and Development At Viridien, we foster a culture of continuous learning and provide tailored training programs through our Learning Hub, designed to enhance ...

Real-Time Analytics), and the wider Azure data ecosystem to design, develop, and implement modern data architectures and pipelines that fuel analytics, AI/ML, and data-driven operations.* Design and build high-performance data integration solutions: Use Azure Data Factory (and/or Fabric Data Factory) to orchestrate ingestion … practices using Microsoft Fabric (Lakehouse/Warehouse), Purview, and Azure security controls to ensure trusted data.* Ability to design, build and deploy AI/ML-enabled solutions: Enable feature-ready, governed datasets for data science and integrate with Azure Machine Learning and Fabric experiences to operationalise models ...

approaches for extracting insights from structured and unstructured data for our core customer base – Corporates, Banks, Professional Services, and Asset ManagersDevelop and maintain robust ML and data pipelines for experimentation and deployment.Design, build, and optimize risk models for analytics and generative AI applications using our proprietary NLP data generation process.Collaborate … cross functionally with Economists, Industry Analysts, Political Scientists, and Developers.Explain ML/NLP model outputs and methodologies to non-technical stakeholders.You May be a Good Fit if:Substantial experience querying, cleaning, compiling, and analyzing big data.Familiarity applying various computational social science methods including data mining, data visualization, natural language processing ...

skills Ability to use modern tools to enhance productivity and code quality Nice to Have Experience with on-device machine learning (Core ML, TensorFlow Lite) Knowledge of SwiftUI and Jetpack Compose Experience with mobile CI/CD (Fastlane, Bitrise) Understanding of mobile security best practices Experience with …/VR technologies Published apps in App Store or Google Play Competitive salary and benefits Learning and conference budget Health and dental insurance Collaborative and innovative team environment #J-18808-Ljbffr ...

sound, scalable, and built to deliver measurable business results. You Will: Architect the 0-to-1 Foundation: Lead the design and implementation of automated ML systems. You know how to balance "doing it right" with "doing it fast," making pragmatic architectural choices (build vs. buy, simple vs. complex) while rolling … your sleeves to write production code and establish our core ML infrastructure. Translate Business Needs: Turn ambiguous business questions (from customer acquisition to churn dynamics) into concrete technical roadmaps that deliver clear, actionable results Drive Execution and Reliability: Lead the end-to-end deployment of ML products, ensuring they ...

Product Manager for Vision Models, you are the critical layer that connects on-the-ground AI performance with our AI/ML engineering. You will: Capture and triage data + feedback from customer deployments Use your judgement and understanding of our customer's industrial processes + priorities, recycled material … vision AI capabilities to prepare and prioritise work for our AI/ML engineers Lead the domain discovery required to bring new materials and markets online Own the data pipeline and labelling teams that we use to teach our models You will spend time at recycling sites watching how operators ...

consulting companies and help leading organisations transform through data and AI. Accelerate Your Growth Work on cutting-edge projects with modern technologies including AI, Machine Learning, Cloud, and DevOps, while continuously developing your technical, consulting, and leadership skills. Be part of a diverse, international, and action-oriented team ...

data structures, performance optimisation techniques, object-oriented programming.Experience using modern AI-assisted and agentic development workflows in day-to-day engineering using AI/ML APIs and SDKsHands-on experience developing RAG solutions or working with LLMs for chatbots is preferredIn-depth understanding of CI/CD and the tools ...

Boehringer Ingelheim GmbH in London seeks a Senior Cloud Engineer, ML Platforms to design, build and maintain AWS-based infrastructure that enables machine learning workflows for researchers and ML teams. You will collaborate with researchers, ML engineers and platform teams, implement IaC, ensure security and governance, and support ...

Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We focus on advanced algorithms and training techniques for Large Language Models (LLMs) and Data-Centric Machine Learning.While our Research Scientists push the boundaries of what models can do, the Research Engineering team defines … Experience working in a Research Lab or "0-to-1" innovation environment.Experience owning the end-to-end lifecycle of an internal developer platform or ML tooling product, including defining adoption metrics and iterating based on user research.Background in Platform Engineering.Experience contributing to open-source LLM or NLP libraries.As part ...

Machine Learning solutions embedded directly into business processes. We support clients across a range of industries and offer deepexpertisein AI/ML, Cloud, Platform Engineering and Managed Solutions. We are looking for an experienced Senior Manager to serve as an AI Architect — someone who can design … deliveryaccountabilityand client advisory skill — someone energised by the complexity of taking AI solutions to production at scale. 7+ yearsin technology consulting,architectureor AI/ML engineering, with at least 3 years in a senior leadership or lead-architect role — including accountability for end-to-end solution design,resourcingand commercial outcomes. ...

automation and data‐driven technology delivery Awareness of emerging trends such as AI, automation and data‐driven product development Exposure to AI or Machine Learning use cases within digital or technology delivery Experience working with or alongside data scientists, data engineers, or analytics teams Understanding of how data … consecutive years. To see what it’s like to work at Capgemini Invent, visit our Glassdoor page. Capgemini Invent offers Consultants a culture of learning, ownership, and focus on value. You’ll gain exposure to high‐profile transformations and gain hands‐on exposure to leading technologies. Our consultants ...

needs, communicate project progress, and ensure alignment with their strategic/project goals.As an influential member of the team, you’ll create a positive learning culture and will coach and counsel junior members of the team and help them develop.Working in multi-disciplinary teams across a range of industries … Python, RCloud computing platforms: Azure, AWS, GCPExperience in any aspects of the data analytics lifecycle, for example:Data StrategyData Manipulation and ETLData Analysis & VisualizationApplying machine learning statistical analysis and other advanced analytics techniques to key business issues faced by our clients that can transform and improve their entire ...

Learning solutions embedded directly into business processes. We support clients across a range of industries and offer deep expertise in AI/ML, Cloud, Platform Engineering and Managed Solutions. We are looking for an experienced Senior Manager to serve as an AI Architect — someone who can design … advisory skill — someone energised by the complexity of taking AI solutions to production at scale. 7+ years in technology consulting, architecture or AI/ML engineering, with at least 3 years in a senior leadership or lead-architect role — including accountability for end-to-end solution design, resourcing and commercial ...

services Interest and ability to learn other coding languages as needed (eg.Python, Angular, React) Experience with dependency injection frameworks (eg.Autofac) Experience in distributed computing, machine learning, data science Experience with building data pipelines, data streaming applications Experience in, or enthusiastic, about motorsport What we can offer ...