201 to 225 of 548 Remote/Hybrid Machine Learning Jobs

Athena, Redshift, EC2, CloudWatch, IAM) and event-driven patterns. Certifications (nice to have) AWS Certified Cloud Practitioner (or higher), Azure AI Fundamentals (awareness of ML/AI services). This role requires additional vetting, which means this could take longer than our normal onboarding process. All profiles will be reviewed ...

Design, develop, and deploy AI-integrated solutions for client engagements using modern full stack technologies. Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Build and refine LLM-powered features, agentic workflows, and MCP (Model Context Protocol) integrations. Collaborate with clients to understand requirements ...

following, NetScaler Apigee, Cloudflare, Akamai, Kubernetes networking Experience with edge computing or hybrid cloud Familiarity with FinOps or cloud cost optimization AI/ML infrastructure support (e.g., MLOps pipelines) About Us Markerstudy Insurance Services Limited (MISL) is one of the largest Managing General Agents in the UK. With a strong ...

stack engineer, Python/Java developer, DevOps/cloud engineer, plus data-track roles like data analyst, BI analyst, data engineer, data scientist, and ML/AI engineer. The focus areas remain: Java/Full Stack/DevOps and Data Analytics/Data Engineering/Data Science/ML/ ...

stack engineer, Python/Java developer, DevOps/cloud engineer, plus data-track roles like data analyst, BI analyst, data engineer, data scientist, and ML/AI engineer. The focus areas remain: Java/Full Stack/DevOps and Data Analytics/Data Engineering/Data Science/ML/ ...

analytics efforts. Data Architecture Serve as owner for enterprise data architecture including developing strategy, standards Ensure data policies, standards, and controls support AI/ML, GenAI, and analytics use cases. Establish standards for Data Products Ensure the enterprise data architecture is fit-for-purpose for AI at scale, not just … data products, data mesh/fabric, feature-ready data layers) Align data architecture to AI use cases such as: GenAI (context + retrieval layers) ML models (training + feature pipelines) Real-time decisioning (streaming architectures) Advocate for architecture patterns that enable: Structured and unstructured data integration Metadata-driven pipelines High ...

aligned to client needs: software programming, Java full stack development, Java/Python roles, DevOps engineering, and data roles spanning analytics, engineering, science, and ML/AI. Our primary focus remains Java/Full Stack/DevOps and Data/Engineering/Analytics/ML. SynergisticIT since 2010 has helped … build + deploy + collaborate + document + explain." That's especially true for Java full stack, DevOps, data engineering, and ML/AI. What roles are commonly in demand right now Laid-off candidates often do best targeting roles that map to consistent enterprise demand. The main lanes include ...

focuses on roles employers repeatedly hire for: Java full stack, software programming, Python/Java development, DevOps, data analyst, data engineer, data scientist, and ML/AI engineer. In other words, the program builds candidates across Java/Full Stack/DevOps and Data Analytics/Data Engineering/Data … Science/Machine Learning/AI-because companies hire teams, not single-skill candidates. Ideal candidates who benefit from interview-focused help This includes: recent grads with limited experience, laid-off professionals re-entering the market, career changers, candidates with gaps, experienced applicants who can't convert interviews ...

focuses on roles employers repeatedly hire for: Java full stack, software programming, Python/Java development, DevOps, data analyst, data engineer, data scientist, and ML/AI engineer. In other words, the program builds candidates across Java/Full Stack/DevOps and Data Analytics/Data Engineering/Data … Science/Machine Learning/AI-because companies hire teams, not single-skill candidates. Ideal candidates who benefit from interview-focused help This includes: recent grads with limited experience, laid-off professionals re-entering the market, career changers, candidates with gaps, experienced applicants who can't convert interviews ...

logistics partners to automate quoting, sourcing, and fulfilment workflows. What We're Building We're building a sophisticated AI platform that leverages graph databases, machine learning, and modern cloud infrastructure to deliver intelligent procurement and customer service … solutions. Our stack includes: Backend Services : Python 3.13, FastAPI, async micro-services architecture Data Layer : Neo4j graph database, PostgreSQL, complex data modelling AI/ML : OpenAI integration, semantic search, conversational agents, unstructured data analysis and extraction Infrastructure : AWS (Lambda, ECS/EKS, API Gateway, S3) DevOps : Terraform, GitHub Actions, Helm ...

positive can-do attitude and willing to help other members of the team. · Understanding of Apache Spark, Apache Trino or other big data and machine learning systems. · Exposure to using AI tools to enhance productivity and quality of coding, reviews and documentation. Why Join RealityMine? At RealityMine … do. That’s why we go the extra mile to support every team member to unlock their full potential. Whether you're hungry for learning, driven by achievement, or just love being part of a dynamic and supportive team, you'll find a home here. Your Benefits · Generous Time ...

positive can-do attitude and willing to help other members of the team. · Understanding of Apache Spark, Apache Trino or other big data and machine learning systems. · Exposure to using AI tools to enhance productivity and quality of coding, reviews and documentation. Why Join RealityMine? At RealityMine … do. That’s why we go the extra mile to support every team member to unlock their full potential. Whether you're hungry for learning, driven by achievement, or just love being part of a dynamic and supportive team, you'll find a home here. Your Benefits · Generous Time ...

getting interviews but not offers, you're closer than you think-yet that final gap can feel brutal. Many candidates spend months learning frameworks and finishing courses, only to freeze during technical screens, system questions, or behavioral rounds. The result is painful: "almost hired" over and over again, while … Learning Engineers. The focus areas include Java/Full Stack/DevOps and Data tracks like Data Engineering, Data Analytics/BI, ML/AI, because those are the roles employers continue to hire for. If your pattern is "I reach interviews but don't clear them ...

getting interviews but not offers, you're closer than you think-yet that final gap can feel brutal. Many candidates spend months learning frameworks and finishing courses, only to freeze during technical screens, system questions, or behavioral rounds. The result is painful: "almost hired" over and over again, while … Learning Engineers. The focus areas include Java/Full Stack/DevOps and Data tracks like Data Engineering, Data Analytics/BI, ML/AI, because those are the roles employers continue to hire for. If your pattern is "I reach interviews but don't clear them ...

communication skills Desirable Skills React/TypeScript frontend experience Infrastructure as Code GraphQL/AppSync Event-driven architectures IoT/edge systems AI/machine learning feature development Benefits Hybrid working Modern cloud-native technology stack Exposure to AI and emerging technologies High ownership engineering role Collaborative team ...

solutions. Key responsibilities: Designing and building scalable data pipelines, datasets, and data models Integrating data from multiple structured and unstructured sources Developing advanced analytics, machine learning and AI solutions where appropriate Building Generative AI solutions using large language models and prompt/context engineering Ensuring data quality, reliability ...

Civil Service or public sector environments. * Interest in AI safety, AI evaluation methodologies or educational technology. * Experience working closely with data science, AI or machine learning teams. * Exposure to modern AI engineering practices and frontier AI models. Qualifications * Undergraduate degree in a STEM discipline or equivalent commercial experience. ...

business strategies Nice to Have Skills: Experience in econometrics and difference-in-differences analysis Familiarity with cloud data platforms and visualization tools Knowledge of machine learning algorithms and advanced statistical techniques Previous experience in consulting or client-facing roles Preferred Education and Experience: Bachelor’s or Master ...

Civil Service or public sector environments.* Interest in AI safety, AI evaluation methodologies or educational technology.* Experience working closely with data science, AI or machine learning teams.* Exposure to modern AI engineering practices and frontier AI models. Qualifications * Undergraduate degree in a STEM discipline or equivalent commercial experience. ...

Experience implementing governance frameworks and best practices for AI systems. Strong problem-solving and analytical skills. Desirable Experience Experience with Azure AI Studio, Azure Machine Learning, or Cognitive Services. Familiarity with DevOps practices and CI/CD pipelines within the Microsoft ecosystem. Experience integrating AI solutions with Microsoft ...

databases, graph databases and NoSQL systems; Familiarity with Linux/Unix environments; Experience with collaborative development tools such as Jira and Confluence; Experience with machine learning approaches, ideally in the context of data discovery. Apply now! Benefits and Contract Information Financial incentives: depending on circumstances, monthly family/ ...

innovation and continuous learning. Communicating complex technical concepts clearly to non-technical stakeholders and project teams. Staying abreast of emerging technologies in data science, machine learning, digital twins and any other innovations relevant to the built environment. ABOUT YOU We value people who can think analytically and creatively ...

industry experience Strong background in Python or similar languages Significant experience with backend development , microservices, and distributed systems Hands-on experience with AI/ML systems , including LLMs, RAG, or vector databases Solid understanding of containerisation and orchestration (Docker/Kubernetes) Experience delivering secure, on-premise or regulated systems Proven ...

/FIXML, messaging systems, or trading workflows Experience building reporting platforms or client-facing web applications Leadership or mentoring experience Exposure to AI/ML tooling or developer productivity automation The Environment Modern engineering culture with strong focus on quality and ownership Cloud-native distributed platform High visibility role with ...

practices Strong SQL skills and working knowledge of NoSQL datastores AI & Automation Hands-on experience integrating LLMs, AI APIs (OpenAI, Azure OpenAI, etc.), or ML models into production applications Familiarity with agentic frameworks, RAG pipelines, or AI-assisted workflow automation Ability to assess where AI genuinely adds value and communicate ...