1,001 to 1,025 of 2,614 Remote/Hybrid Machine Learning Jobs

mission-critical cloud services at scale. Strong troubleshooting and systems engineering skills. Preferred qualifications Experience building Internal Developer Platforms (IDPs). Experience supporting AI, machine learning, or agent-based workloads. Experience with GitOps and platform product management. Knowledge of SRE principles including SLOs, SLIs, and error budgets. Experience ...

more. Ready to join us? Your Role We're hiring a Senior MLOps Engineer for our Hardware Group to build and scale the machine learning infrastructure that powers Focus, our line of smart cameras. You'll own the edge deployment pipelines that transport neural networks from training clusters ...

share highlights and more.Ready to join us Your RoleWe're hiring a Senior MLOps Engineer for our Hardware Group to build and scale the machine learning infrastructure that powers Focus, our line of smart cameras. You'll own the edge deployment pipelines that transport neural networks from training ...

software solutions capable of handling sensitive data (e.g., Personally Identifiable Information or payment information). Experience implementing software solutions that operationalise data science and Machine Learning components Personal Qualities A hands-on problem-solver who leads by example, demonstrating commitment to software quality. A clear communicator, calm ...

relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting About the role We're hiring two Senior Quality Engineers to join our Mobile ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

cloud-native architectures CI/CD, Infrastructure as Code, and DevOps practices Production support, monitoring, observability, and incident management Experience with AI/ML frameworks such as PyTorch, TensorFlow, or JAX Exposure to LLMs, RAG, Agentic AI, model serving, or MLOps environments What's on Offer? Work on innovative ...

experience operating AI, analytics or technology platforms in production. Solid DevOps experience, including CI/CD, monitoring and incident management. Understanding of AI/ML, including generative AI and model lifecycle management. Experience with cloud platforms, APIs and enterprise architectures. Microsoft AI experience, ideally Azure AI Foundry and Microsoft ...

experience operating AI, analytics or technology platforms in production. Solid DevOps experience, including CI/CD, monitoring and incident management. Understanding of AI/ML, including generative AI and model lifecycle management. Experience with cloud platforms, APIs and enterprise architectures. Microsoft AI experience, ideally Azure AI Foundry and Microsoft ...

experience operating AI, analytics or technology platforms in production. Solid DevOps experience, including CI/CD, monitoring and incident management. Understanding of AI/ML, including generative AI and model lifecycle management. Experience with cloud platforms, APIs and enterprise architectures. Microsoft AI experience, ideally Azure AI Foundry and Microsoft ...

system integrations Familiarity with cloud platforms (AWS, Azure, or GCP) Experience working with Snowflake, Databricks or similar data warehouses Knowledge of AI/ML concepts and how they apply to business processes Customer-Facing Skills Excellent communication skills with both technical and business stakeholders Ability to translate complex technical concepts ...

communication and leadership skills. Experienceworking with software development teams in a regulated environment. Desired Skills: Experiencelaunching B2B or B2C HealthTech products. Knowledgeof AI/ML in healthcare or mobile health technologies. Master’sdegree (MBA, MSc Health Informatics, or equivalent). Understandingof NHS Digital frameworks or interoperability challenges in the UK. ...

business goals, and use insights to drive continuous improvement. Stay ahead of mobile trends at the intersection of iOS, Android, and generative AI and ML models. About You: 5-7 years in Product Management experience with a focus on mobile applications that have hardware counterparts (iOS and Android). Proven ...

strong emphasis on Azure-based data solutions. * Expert-level knowledge of Azure and/or Snowflake services, including Data Factory, Data Lake, Azure ML, and Power BI/Fabric. * Proven experience with infrastructure-as-code using Terraform and building CI/CD pipelines via Azure DevOps and GitHub Actions. * Strong ...

running Spark workloads and reviewing output logs Amazon Athena - ad hoc querying of data in S3 Amazon Textract and Comprehend - familiarity with AI/ML document extraction and NLP services AWS S3, IAM, CloudWatch, EC2, ECR - core platform services used day-to-day AWS console proficiency - navigating, configuring, and monitoring ...

with Microsoft Purview, Entra ID, DLP, or Insider Risk toolsUnderstanding of ISO 27001, Agile ways of workingKnowledge of statistics, data science, or AI/ML applied to cybersecurityRelevant certifications (MS-500, AZ-500, SC-series, Security+, GSOC, CCSK)Perks & BenefitsHybrid/remote working optionsFlexible benefits packageOpportunity to innovate and make ...

container orchestration. Experience mentoring other engineers and leading by example. Strong understanding of software architecture principles and system design. Familiarity with integrating AI/ML APIs or frameworks (e.g., TensorFlow, PyTorch) is a plus. Excellent communication skills and a collaborative approach to problem solving. The Mindset We Value: Relentless Innovation ...

behaviour through to the interfaces clinicians touch. Compliance & Cybersecurity: Ensure AI deployments meet cybersecurity requirements and regulatory standards, including FDA guidance for AI/ML‐enabled devices. Reliability & Collaboration: Keep the deployed fleet reliable, and work directly with hardware, product and clinical teams to diagnose and resolve issues quickly. ...

that ingests, stores, and surfaces telemetry from space and ground assetsBuild analytics and visualization tools that surface operational insight and not just raw dataApply ML and AI techniques to detect anomalies, predict failures, and optimize constellation performanceWork directly with data at every layer from pipeline design to queryReliability Engineering: Define ...

Software Engineering team at CoMind spans the full stack of a regulated medical device company from embedded and real-time systems through application software, ML inference, GUI, DevOps, and test engineering. It is a team that builds across every layer, working to medical device software standards and shipping software that ...

platform improvements.Mentor junior FDEs on customer engagements, code reviews, and Deployment Kit quality.Required6–10+ years production software engineering, including 3+ years deploying AI/ML to production. Deep Python; strong TypeScript/JavaScript.Proven track record leading complex enterprise technical engagements. You’ve managed customer relationships, navigated security reviews, and delivered ...

Contribute to continuous improvement of AI governance, development practices, and delivery frameworks.**What you bring to the role*** Experience across software engineering, AI/ML, or related enterprise technology environments.* Strong hands-on development skills (e.g., Python and/or TypeScript/Node.js), with experience building APIs, services, and integrations. ...

projects in the Energy domain (Energy Management, Oil & Gas, Power & Water). Certified Scrum Master and/or Product Owner. Experience of AI/ML techniques/methodologies. An advanced understanding of Wide Area Monitoring and Control Systems (WAMCS). Benefits Relocation Assistance Provided: No Addressing the climate crisis ...

access platforms (e.g. Netskope, zero trust architectures) and how they shape solution design. Solid understanding of modern AI paradigms (Generative AI, agentic workflows, ML pipelines, MCP) and leading AI services (ChatGPT, Claude, Copilot, Gemini), with a focus on how AI interoperates with existing firm systems. Strong analytical capabilities to evaluate ...

quality practice across the organisation, mentoring and uplifting QA capability globally.Key Skills and CompetenciesStrong understanding of the testing and quality challenges of non-deterministic, ML/LLM-based, and agentic systems, including evaluation, guardrails, and the regression of model-driven behaviour.Proven experience defining and implementing QA strategy at an organisational ...