701 to 725 of 1,486 Machine Learning Jobs

logging Comfortable operating in fast-paced, product-led environments Nice to Have Experience with RAG pipelines, vector databases, or AI agents Exposure to machine learning workflows and applied AI systems Experience building internal AI platforms, copilots, or automation tools Startup or scale-up experience Why Apply? Join ...

communication skills Experience operating within Agile delivery environments Desirable Experience Microsoft Fabric Power BI development PySpark REST API integrations Lakehouse architectures AI and Machine Learning platforms Retrieval Augmented Generation (RAG) Vector databases Generative AI solutions Power Platform technologies Data transformation or modernisation programmes What We're Looking ...

work experience Desired 6 Years in Supply Chain and Procurement as a data analyst or a data scientist Masters Degree Hands on experience deploying machine learning, generative AI, or agent based systems into production business workflows for Supply chain Experience operationalizing AI solutions within enterprise platforms (e.g. ...

Operations strategy - with a key focus on Communication, Problem solving, technical skills in Web and DB, and delivering new tools, automations, API's and machine learning/AI solutions. The ideal candidate will have extensive experience in software development and problem solving, who can extract the process performance ...

migrations, including CDC approaches Strong Python and SQL skills Understanding of data platforms (e.g. Snowflake/CDP) and ingestion pipelines Exposure to AI/ML enablement frameworks (.e.g AWS SageMaker) and supporting infrastructure for model training, deployment Familiarity with modern development and deployment frameworks Experience with dbt/ELT patterns ...

documentation and architectural design experience (HLD/LLD). Experience within Banking or Financial Services. Exposure to DevOps tooling, preferably Terraform. Experience working with ML/AI and data tooling within GCP environments. Familiarity with Agile or iterative delivery models. Robert Walters Operations Limited is an employment business and employment ...

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 ...

aligned with strategic goals. Your responsibilities: 1. Product Strategy & Roadmap Define the vision, strategy, and roadmap for data products (e.g., dashboards, data platforms, APIs, ML models). Identify opportunities to leverage data for business growth and operational efficiency. Translate business requirements into actionable product features and user stories. 2. Stakeholder ...

data lake patterns, and PrivateLink for cross-cloud data connectivity. AI Readiness : Practical experience architecting data infrastructure for AI/ML consumption - vector databases, embedding stores, and RAG pipeline integration. Soft Skills: Strong interpersonal skills; ability to translate complex data architecture into clear language for Business Analysts and non-technical ...

standards across enterprise platforms. Desirable Skills Experience with Kestra or similar modern orchestration platforms. Knowledge of Snowflake Native Apps, Snowpark, and emerging AI/ML capabilities within modern data platforms. Exposure to vector databases, embeddings, retrieval-augmented generation (RAG), and AI-ready data architectures. Retail, wholesale, supply chain, or large ...

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 ...

scalable, fault-tolerant systems across cloud (AWS, GCP, Azure) and on-prem environments. Champion Observability: Implement advanced telemetry and monitoring practices, leveraging AI/ML for predictive insights and proactive reliability improvements. Modernize Infrastructure: Guide teams in automating infrastructure and CI/CD pipelines using tools such as Terraform, Ansible ...

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 ...

demand often includes entry-level software programmers, Java full stack developers, Python/Java developers, DevOps engineers, data analysts, data engineers, data scientists, and ML/AI engineers. The focus remains consistent: Java/Full Stack/DevOps plus Data Analytics/Data Engineering/Data Science/Machine Learning/AI. This breadth matters because today's employers value candidates who can handle more than one layer of the system. Ideal candidates for response-building support Recent grads, laid-off professionals, career switchers, candidates with gaps, experienced applicants not hearing back, and F1/OPT jobseekers ...

demand often includes entry-level software programmers, Java full stack developers, Python/Java developers, DevOps engineers, data analysts, data engineers, data scientists, and ML/AI engineers. The focus remains consistent: Java/Full Stack/DevOps plus Data Analytics/Data Engineering/Data Science/Machine Learning/AI. This breadth matters because today's employers value candidates who can handle more than one layer of the system. Ideal candidates for response-building support Recent grads, laid-off professionals, career switchers, candidates with gaps, experienced applicants not hearing back, and F1/OPT jobseekers ...

demand often includes entry-level software programmers, Java full stack developers, Python/Java developers, DevOps engineers, data analysts, data engineers, data scientists, and ML/AI engineers. The focus remains consistent: Java/Full Stack/DevOps plus Data Analytics/Data Engineering/Data Science/Machine Learning/AI. This breadth matters because today's employers value candidates who can handle more than one layer of the system. Ideal candidates for response-building support Recent grads, laid-off professionals, career switchers, candidates with gaps, experienced applicants not hearing back, and F1/OPT jobseekers ...

demand often includes entry-level software programmers, Java full stack developers, Python/Java developers, DevOps engineers, data analysts, data engineers, data scientists, and ML/AI engineers. The focus remains consistent: Java/Full Stack/DevOps plus Data Analytics/Data Engineering/Data Science/Machine Learning/AI. This breadth matters because today's employers value candidates who can handle more than one layer of the system. Ideal candidates for response-building support Recent grads, laid-off professionals, career switchers, candidates with gaps, experienced applicants not hearing back, and F1/OPT jobseekers ...

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 ...

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 ...