1,101 to 1,125 of 2,603 Remote/Hybrid Machine Learning Jobs

expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection … transferred to another Incident Lead What You Will Bring 5+ years of experience leading incident response investigations involving ransomware Experience leading BEC investigations Continuously learning and staying informed of the changing threat landscape Proven track record of successful neutralization and remediation of ransomware threats Excellent understanding of the Incident ...

designing scalable cloud architectures and integrating with modern technology stacks Comfortable with Python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching … team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional ...

expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection … appetite to work across EKS, AKS and GKE.Exposure to infrastructure as code such as Terraform, CloudFormation or Ansible, or a clear interest in learning it.Comfort with Git and modern code review workflows.Linux fundamentals: processes, filesystems, networking, systemd, permissions, packaging and command-line troubleshooting.Nice to HaveFamiliarity with eBPF or other ...

Global’s Data team is seeking a Senior Machine Learning Engineer to build, deploy and scale ML solutions—turning data science ideas into robust, production-grade products. You’ll support use cases across DAX, our digital ad exchange—such as real-time targeting and identity graphs—and join ...

looking for an experienced Data Science consultant to join their Digital & Data team in Greater London. This role involves utilizing advanced analytics and machine learning to support data-centric decision-making across the public and private sectors. The ideal candidate should have a relevant degree or higher, experience ...

with a focus on data diligence, value creation and executionYou have a strong technical background including Python, Cloud environments (AWS, Azure, GCP) and modern Machine Learning libraries (e.g. PyTorch, TensorFlow, Scikit)You have advanced experience in conducting data maturity assessments and developing data strategies that drive business transformation ...

contribute to the development of software to streamline daily processes and assist front office with system trading, using a variety of techniques including machine learning and artificial intelligence. Alongside the automation elements, you will also be responsible for the daily analysis of the trading activities (PnL and position ...

Strong experience with Python. Experience with Kubernetes and Docker. Understanding of CI/CD pipelines (e.g. GitLab). Exposure to data platforms, MLOps or machine learning environments. Spark or Scala. AWS services (e.g. S3). Elasticsearch or graph databases. OIDC/OAuth. Node.js or React. #J-18808-Ljbffr ...

Software Engineer, you'll use strong software engineering principles to design, build and deploy production-ready applications that incorporate AI, automation and machine learning capabilities. You'll be involved across the full software development lifecycle, from technical design and development through to testing, deployment and ongoing improvement. Responsibilities ...

event-driven integration patterns Data governance, lineage and quality frameworks DevSecOps and modern engineering practices Python-enabled automation and analytics solutions AI, Machine Learning and Generative AI architecture Responsible AI, explainability and model governance controls Why Apply? This is a rare opportunity to play a pivotal role ...

organisation improve how data is structured, governed, integrated and delivered. The environment includes Databricks, cloud technologies, data lakes, analytics, reporting and emerging AI and machine-learning products. Your responsibilities will include: Defining and evolving data architecture principles, standards and technical roadmaps Designing conceptual, logical and physical data models ...

commerce environments Data pipelines or operational data models Modern data tooling or orchestration platforms Experimentation or A/B testing platforms Exposure to machine learning workflows or analytics platforms About Arrive Arrive, including brands like EasyPark, Flowbird, RingGo, ParkMobile and Parkopedia, is a leading global mobility platform. Present ...

strong enablement mindset: you enjoy creating standards, reusable solutions, documentation, and automation that help engineering teams move faster andmore safely. Bonus Points Experience using machine learning, heuristic analysis, or AI-assisted techniques to analyze logs, detect anomalies, spot trends, and support proactive troubleshooting. Experience building internal developer platforms ...

someone who has simply experimented with ChatGPT or integrated an LLM API. You may have a background as an AI Engineer, Generative AI Engineer, Machine Learning Engineer, Software Engineer or AI Solutions Engineer, but you will have developed a strong practical understanding of modern Agentic AI. You should ...

Defender for Endpoint and Microsoft Sentinel.Attainment of relevant Microsoft accreditations (e.g., AZ-900, MS-900, SC-100) is preferred; additional certifications in AI or Machine Learning Operations are highly desirable.About Us:We are the tech company with people at heart. At Advania, we empower individuals to create sustainable ...

solutions. Strong knowledge of the Microsoft data and analytics ecosystem, including Azure data services, SQL, Power BI, and modern engineering practices. Experience with AI, machine learning, IoT, and Oracle environments is advantageous. Demonstrable experience establishing engineering standards, DevSecOps practices, automated testing, monitoring, data quality controls, and reliable production ...

Bachelor's degree required4+ years of data science and/or data manipulation and analysis2+ years experience working with Palantir Foundry2+ years hands on Machine Learning experience2+ years experience in DatabricksLimited Sponsorship may be availablePreferred:4+ years of experience with pipeline and application development within Palantir Foundry4+ years ...

Backend Engineering teams to improve detection quality and platform capability Contribute to the development and fine-tuning of AI-driven detection models, using machine learning to sharpen investigation accuracy Stay current with emerging threats, attack techniques, and cloud security best practices, feeding insights back into team knowledge What ...

similar. Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and data warehousing solutions.Strong knowledge in at least a few of the following areas: statistics, machine learning, linear algebra, optimisation.A strong product mindset with the ability to operate autonomously while working in a cross-functional and cross-team environment.Good ...

flow to reducing friction and saving costsCreative problem solving skills and an ability to prioritise in a fast-paced environment Leverage AI tools and machine learning techniques to improve analytics outcomes and discover new, critical insights.NICE TO HAVE BUT NOT ESSENTIAL:Knowledge of the FinTech ecosystemKnowledge ...

Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and data warehousing solutions. Strong knowledge in at least a few of the following areas: statistics, machine learning, linear algebra, optimisation. A strong product mindset with the ability to operate autonomously while working in a cross-functional and cross-team ...

solutions. Strong knowledge of the Microsoft data and analytics ecosystem, including Azure data services, SQL, Power BI, and modern engineering practices. Experience with AI, machine learning, IoT, and Oracle environments is advantageous. Demonstrable experience establishing engineering standards, DevSecOps practices, automated testing, monitoring, data quality controls, and reliable production ...

London. We empower brokers with instant underwriting decisions, anytime, anywhere. Our proprietary algorithm that underwrites risk, used in conjunction with the latest machine learning technology, enables us to make faster more informed decisions. MAIN REQUIREMENTS Strong in a semi‐mainstream programming language (e.g. Python, Typescript, Rust ...

Runware is seeking a Senior Machine Learning Engineer to lead end-to-end ML system development across text, image, video, 3D and audio modalities. You’ll drive research to production, ensuring scalable, reliable inference and monitoring for a cutting-edge AI media platform. You will own model integration ...

relentlessly resourceful to solve problems and find smarter solutions than the status quoBuild the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy liftingWe'd love for you to become a key part of our Python Infrastructure team ...