1,401 to 1,425 of 1,561 Machine Learning Jobs

Azure Data Lake). Familiarity with Microsoft Purview and broader governance practices. Dynamics 365 CE and FO integration and analytics. Exposure to AI/ML enablement in Microsoft ecosystem (e.g., Azure ML/AI Foundry/Azure OpenAI), particularly where analytics feeds AI-powered apps. Experience designing BI/data ...

across MLOps/LLMOps/AI governance Contribute to reusable frameworks and accelerators What youll need (must-have): Experience as an AI Architect/ML Architect/GenAI Architect Strong expertise in: Generative AI & LLMs, RAG (Retrieval-Augmented Generation), Agentic AI frameworks Hands-on with; LLMs (OpenAI, Llama, Claude, Mistral … Vector DBs (Pinecone, Weaviate, FAISS), Frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, LangGraph) Strong Python + ML frameworks (PyTorch/TensorFlow) Experience deploying on AWS, Azure, or GCP Experience leading or influencing technical teams Nice to have: Experience in consulting/client-facing roles Exposure to bids, RFPs, or pre-sales Knowledge ...

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/ ...

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/ ...

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 ...

experience building scalable distributed systems or data platforms. Fluency in Python, SQL, Java, and modern data processing frameworks. Expertise in cloud-based AI/ML ecosystems, particularly AWS SageMaker (required). Proven experience developing monitoring frameworks, observability pipelines, and dashboards. Deep understanding of event-driven architectures and messaging systems (Kafka … security engineering, IAM principles, encryption, and cloud security controls. Experience with CI/CD, infrastructure-as-code, and automated testing for data/ML systems. In addition Exposure to MLOps, LLMOps, or model lifecycle management. Awareness of model risk and regulatory frameworks (e.g., SS1/23, NIST AI Risk Management ...

experience building scalable distributed systems or data plat forms.Fluency in Python, SQL, Java, and modern data processing frame works.Expertise in cloud-based AI/ML ecosystems, particularly AWS SageMaker (requ ired).Proven experience developing monitoring frameworks, observability pipelines, and dashb oards.Deep understanding of event-driven architectures and messaging systems (Kafka … security engineering, IAM principles, encryption, and cloud security controls. Experience with CI/CD, infrastructure-as-code, and automated testing for data/ML sy stems. In a dditionExposure to MLOps, LLMOps, or model lifecycle mana gement.Awareness of model risk and regulatory frameworks (e.g., SS1/23, NIST AI RiskManagement ...

derived data products that align with AIPX architecture and performance standards. Technical Leadership: Provide strategic direction across cloud engineering, data architecture, and AI/ML capabilities to ensure solutions are secure, well-governed, and scalable. Engineering Excellence: Establish and enforce best practices for the automated SDLC, including DevOps/MLOps … evaluation of emerging technologies, lead proofs of concept (PoCs), and embed responsible AI principles across all financial solution designs. Required Knowledge & Experience AI/ML Mastery: Strong knowledge of AI techniques and tools, with demonstrated experience applying Gen AI/LLMs to specific financial or corporate use cases. Regulated Delivery ...

multiple products Applying AI-assisted development practices including AI-assisted code review, automated testing, secure prompt engineering, and identifying opportunities to apply AI/ML in fraud detection and payment optimization Providing input on future initiatives with stakeholders and fellow engineers, including technical debt prioritization, platform modernization, and capital planning … incident documentation Apply AI-assisted development practices including AI-powered code review, test generation, refactoring, and documentation; identify safe injection points for AI/ML in payment and fraud systems Mentor junior engineers through code reviews, technical discussions, and pair programming Collaborate with external vendor teams and internal stakeholders ...

Code: 95014 Top 3/5 Skills: Agentic AI depth, Orchestration, LangGraph, CAPA Claude/Anthropic: Claude production expertise MCP Server, Predictive ML/statistical analytics Medical device industry experience- 5-7yrs Min & Max Pay Rate: $75.00/hr. - $82.00/hr. Job Responsibilities Title: Sr Data Engineer- Agentic … orchestrated AI pipelines for entity extraction, event classification, failure mode standardization, trend tagging, risk categorization, and summarization aligned to quality and manufacturing taxonomies. Core ML & Statistical Analysis for Manufacturing Solid foundation in predictive modeling, clustering, time series analysis, anomaly detection, and statistical methods applied to manufacturing processes, defects, equipment signals ...

semantic models and governed data products. Architect secure ETL/ELT pipelines, data integration patterns, and lakehouse architectures (including medallion patterns) that support analytics, ML/AI use cases, and real-time decisioning while respecting patient data sensitivity and de-identification requirements. Ensure all solutions meet NHS interoperability standards (FHIR … healthcare sector. Familiarity with Palantir Artificial Intelligence Platform (AIP) and building ontology-driven applications or agents. Experience with Azure AI/ML services or Databricks AI/Feature Store capabilities. Knowledge of NHS national data strategies, federated analytics, or secure data environments. Relevant certifications (e.g., Azure Solutions Architect Expert, Databricks ...

semantic models and governed data products. Architect secure ETL/ELT pipelines, data integration patterns, and lakehouse architectures (including medallion patterns) that support analytics, ML/AI use cases, and real-time decisioning while respecting patient data sensitivity and de-identification requirements. Ensure all solutions meet NHS interoperability standards (FHIR … healthcare sector. Familiarity with Palantir Artificial Intelligence Platform (AIP) and building ontology-driven applications or agents. Experience with Azure AI/ML services or Databricks AI/Feature Store capabilities. Knowledge of NHS national data strategies, federated analytics, or secure data environments. Relevant certifications (e.g., Azure Solutions Architect Expert, Databricks ...

Procurement etc) and Industry-specific value streams Assess feasibility and ROI of AI-led transformation opportunities Define use cases involving LLMs, agentic workflows, RPA, ML models, and orchestration platforms Create reusable AI solution patterns across value chains 2. RFP & Proactive Deal Support Lead AI solutioning for: RFP responses Client proposals … cross-sell and up-sell initiatives Required Qualifications · 15 years of experience in Solution Architecture, Consulting, or Digital Transformation · Strong understanding of AI/ML, LLM-based architectures, and intelligent automation · Experience supporting RFPs and complex deal pursuits · Experience across multiple enterprise value chains · Strong financial modeling and business case ...

Innovation Team is a part of Toluna’s Insights and Innovation function. Responsibilities Be a subject matter expert on the application of AI/ML to solve common client problems Have a strong foundation in common statistical approaches used in market research and marketing Design and invent new, scalable approaches … successful involvement in designing new ways to solve client pain points. Experience using R or Python, Github, VSCode and common 3rd party AI/ML models Able to solve problems creatively and independently. Adaptable, proactive & comfortable with uncertainty Excellent communication skills, including the ability to understand and communicate technical concepts ...

Innovation Team is a part of Toluna’s Insights and Innovation function. Responsibilities Be a subject matter expert on the application of AI/ML to solve common client problems Have a strong foundation in common statistical approaches used in market research and marketing Design and invent new, scalable approaches … successful involvement in designing new ways to solve client pain points. Experience using R or Python, Github, VSCode and common 3rd party AI/ML models Able to solve problems creatively and independently. Adaptable, proactive & comfortable with uncertainty Excellent communication skills, including the ability to understand and communicate technical concepts ...

APN Consulting, Inc. is a progressive IT staffing and services company offering innovative business solutions to improve client business outcomes. We focus on high impact technology solutions in ServiceNow, Fullstack, Cloud & Data, and AI/ ...

physical robot hardware Mentor junior researchers and engineers, and publish at top-tier venues What We're Looking For Essential: PhD/MSc in ML, Robotics, CS, or related field with 4+ years of equivalent industry research experience Demonstrated expertise training and deploying learned manipulation policies on real robots Strong … tier venues — conference attendance and open-source contributions are actively supported What's On Offer Join a team with world class applied research scientists, ML engineers, and robotics software engineers A mature platform that ships to physical hardware, not slides Active support for conference attendance and open-source contributions Competitive ...

small London startup with the ambition to change education with ML-powered tutoring. Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible … system for millions of users Build convenient CI/CD processes and testing pipelines to support quick iterative development and system stability Work on ML model development with our team to build robust data pipelines and deploy ML models Analyse large corpora of data and build real-time recommendation systems ...

process mapping, stakeholder management, and benefits analysis. Proven ability to translate business challenges into technical AI requirements. Technical Skills Working understanding of AI/ML concepts (e.g., LLMs, supervised/unsupervised learning, vector databases, prompt engineering, model evaluation). Ability to interpret technical designs, data schemas, and integration patterns. … agile delivery methodologies. Comfortable coordinating across internal stakeholders, technology teams, and external partners. General Background 8-10 years' experience in business analysis, AI/ML project coordination, consulting, technology, or innovation roles. Experience in financial services, pensions, investment management, or regulated industries. Experience in regulated sectors (pensions, financial services). ...

quality training programs focused on Starburst, Dell Data Lakes, and Data Warehousing architectures. · Create engaging, hands-on materials such as labs, case studies, presentations, learning content that support enterprise data analytics adoption. Inline with directives given by line manager · Ensure training material is tailored to a wide range … both technical and nontechnical users ideally within a software vendor, data platform provider, or cloud services organization. · Strong knowledge of data engineering, AI/ML fundamentals, and data platform architecture. · Experience with or exposure to Starburst, Dell Data Lakes, and Data Warehousing technologies (e.g., Snowflake, Redshift, BigQuery). · Excellent communication ...

/LangChain, Knowledge management using RAGs/GraphRAGs, Vector Databases Building multi agent solutions, complex Agentic workflows Evaluate and optimize Agent output & performance Traditional ML - model selection, model performance evaluation/monitoring Ability to interact with business teams and convert business needs to AI/ML workflows - Must demonstrate … agent systems Qualifications Education: A B.S. or M.S. in Computer Science, AI, or a related field is preferred. Experience: 4+ years in AI/ML engineering are preferred, with 1+ years specifically focused on agentic AI or GenAI applications. Responsibilities Collaborate closely with the team to rapidly gather requirements from ...

Consumer Marketplace/App Department: Product & Insights A leading global marketplace is hiring a Senior Product Analyst to partner with product, engineering, design, and ML teams to shape the future of a mobile-first product used worldwide. What You'll Do Act as the lead data scientist for a core … interpret experiments across the product ecosystem Influence product strategy by connecting insights to business goals Improve datasets, dashboards, and analytical tooling Work closely with ML teams on discovery, ranking, and personalisation initiatives What We're Looking For Expert-level SQL + solid Python for product analytics Hands-on A/ ...

build reproducible training and evaluation data pipelines. - Track what frontier labs are shipping and bring back what's relevant. ## Essential experience - Experience building ML/AI systems in a research-adjacent context (industry, lab, or PhD). - Experience building LLM-powered systems: prompts, context engineering, agent architectures. - Experience working … model training generally, including the data, optimisation, and evaluation work around it. - Strong engineering fundamentals. Fluent in Python and comfortable across the AI/ML stack. - Experience running experiments rigorously, in academia or industry. You think about confounds. You can defend your results. - Experience with training and evaluation data pipelines ...