1,551 to 1,575 of 2,614 Remote Machine Learning Jobs

experience where you have preferably launched Agentic AI related products, with an ability to provide proven examples of this Familiarity with AI/ML or data extraction (e.g., NLP) preferred Understanding of how to set up AI agents Experience of communicating with 3rd Party suppliers, along with knowing ...

OpenCPI-based systems, ensuring maximum efficiency and reliability on an exciting variety of hardware platforms.Innovation – Embrace the use of the latest AI/ML tooling and hybrid cloud compute environments to deliver results that continually outpace and challenge the status quo.Collaboration & Reporting – Use Agile principles and strong communication to work ...

showback/chargeback and accountability across operating companies. Provide architectural guidance to balance cost, performance, scalability and resilience. Define infrastructure architecture for AI/ML workloads, advanced analytics and high-performance computing. Ensure platforms are AI‐ready with scalable compute, data integration, secure access and responsible AI controls. Evaluate emerging ...

feedback and outcomes SKILLS & EXPERIENCE WE’RE LOOKING FOR 7–10 years of experience in Financial Services or Product Management Experience applying AI/ML or data‐driven solutions within financial or investment workflows Ability to translate investment problems into AI‐enabled product opportunities Experience leading rapid prototyping and delivering ...

security standards and regulations (e.g. NCSC, ISO, SoC, NIST, PCI, GDPR).• Deep architectural xxperience in one of the following specialisms: AI/ML Security/Cloud/M365/DevSecOps Security Architecture • Experience in application architecture, software development and/or infrastructure architecture.• Clear communication with technical ...

with MATLAB/Simulink and modelling/simulation environments. Understanding of system safety, FMEA/FMECA and technical risk management. Experience integrating AI/ML-enabled perception or autonomous functionality isdesirable. Ability to support customer bids and proposals, including interpreting and responding tonew customer requirements. Experience using AI-based engineering ...

will combine deep expertise across the Snowflake ecosystem-including Snowflake Data Cloud, Cortex AI, Snowpark, Native Apps, Data Sharing, Data Engineering, AI/ML, and Modern Data Platforms-with a strong consulting mindset to help clients modernize data estates, unlock AI-driven insights, and deliver measurable business outcomes. ...

will combine deep expertise across the Snowflake ecosystem—including Snowflake Data Cloud, Cortex AI, Snowpark, Native Apps, Data Sharing, Data Engineering, AI/ML, and Modern Data Platforms—with a strong consulting mindset to help clients modernize data estates, unlock AI-driven insights, and deliver measurable business outcomes. ...

will combine deep expertise across the Snowflake ecosystem—including Snowflake Data Cloud, Cortex AI, Snowpark, Native Apps, Data Sharing, Data Engineering, AI/ML, and Modern Data Platforms—with a strong consulting mindset to help clients modernize data estates, unlock AI-driven insights, and deliver measurable business outcomes.As ...

Docker's developer experience Qualifications Go Expertise: Strong proficiency in Go (this is absolutely required) - Docker's primary language for backend systems AI/ML Knowledge: Practical experience with large language models (LLMs) and agent development System Architecture: Proven ability to design scalable, distributed systems Container Technology: Deep understanding ...

will combine deep expertise across the Snowflake ecosystem—including Snowflake Data Cloud, Cortex AI, Snowpark, Native Apps, Data Sharing, Data Engineering, AI/ML, and Modern Data Platforms—with a strong consulting mindset to help clients modernize data estates, unlock AI-driven insights, and deliver measurable business outcomes. ...

knowledge of the language specification and thorough knowledge of the standard library, STL containers, and algorithms. Has experience developing, integrating, or deploying AI/ML-powered solutions and is familiar with Large Language Models (LLMs), AI-assisted development tools, and modern AI frameworks. Has understanding of AI system architecture, prompt ...

loop at all. Nice to have - engineer or highly-technical-PM background · zero-to-one · shipped AI-heavy consumer products · defined eval metrics for ML/LLM systems · AI UX + failure-handling intuition · SEA market experience. Outcome Clear vertical strategy and legible roadmap Ships fast and clears the gates ...

degree in Business Administration, Marketing, Economics, Engineering, Computer Science or a related discipline; an MBA or relevant advanced certifications (sales methodologies, negotiation, AI/ML literacy) is advantageous. 8–12 years of progressive experience in enterprise sales, business development or strategic account management within a solutions‐oriented B2B environment, with ...

paced scale-up where priorities shift week to week. Nice to have Experience in construction, infrastructure or compliance sectors. Background working alongside AI/ML engineering teams. Understanding of ISO standards and regulatory frameworks, and how those requirements are incorporated into projects. How you'll work Deeply inside ...

Experience Experience within Defence, National Security, Government, Critical Infrastructure, Aerospace, Energy or Transport sectors. Knowledgeable in digital engineering, enterprise architecture, cyber security, AI/ML-enabled systems or cloud technologies. Familiarity with Agile, SAFe or traditional programme delivery frameworks. Chartered Engineer status (CEng) or progress towards professional registration. INCOSE certification ...

assisted document editor Track record Engineering depth, not just exposure. Four or more years building production software, with meaningful time spent on AI/ML systems at a venture‐backed startup or top tech firm -not as a side project, as the core of the work. You’ve shipped things ...

degree in Business Administration, Marketing, Economics, Engineering, Computer Science or a related discipline; an MBA or relevant advanced certifications (sales methodologies, negotiation, AI/ML literacy) is advantageous.· 8–12 years of progressive experience in enterprise sales, business development or strategic account management within a solutions-oriented B2B environment, with ...

ensure solutions are technically robust and operationally effective. Across the business we’re working on challenges including soldier systems, C4I integration programmes, AI/ML capabilities, and new product development. These programmes combine software, hardware, networks and data, often operating in denied, disrupted or constrained environments. We value practical engineering ...

reliability, and maintainability.Escalates significant risks appropriately and contributes practical recommendations for long-term improvements.Continuous LearningMaintains expertise in cloud-native technologies, distributed systems, AI/ML platforms, Kubernetes, observability, infrastructure automation, and modern software engineering practicesSeeks opportunities to expand technical knowledge through new technologies, customer engagements, and engineering best practices.Mentors less ...

degree in Business Administration, Marketing, Economics, Engineering, Computer Science or a related discipline; an MBA or relevant advanced certifications (sales methodologies, negotiation, AI/ML literacy) is advantageous.· 8–12 years of progressive experience in enterprise sales, business development or strategic account management within a solutions-oriented B2B environment, with ...

skills in automation, orchestration, and system integration, ideally with exposure to ServiceNow, AWS, Azure, Ansible, and Terraform.Track record of identifying and delivering AI/ML-driven improvements in operational environments.Additional InformationWhy Version 1? At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their ...

automation, orchestration, and system integration, ideally with exposure to ServiceNow, AWS, Azure, Ansible, and Terraform. Track record of identifying and delivering AI/ML-driven improvements in operational environments. Additional Information Why Version 1? At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises ...

plants or sites Desired Skills and Competencies Experience with AVEVA CONNECT capabilities, including CONNECT Data, sharing, analytics, visualisation, digital twin, DataOps, and AI/ML-enabled use cases Strong understanding of SCADA systems, PI Interfaces and Connectors, OPC DA/UA, Modbus, DCS systems, and industrial automation data connectivity Experience ...

hold technical teams accountable to quality standards before full traveler rollout.QualificationsExperience: 4–6 years in technical program management, QA management, or AI/ML product operations focused on system reliability and evaluation.AI Evaluation Expertise: Strong operational knowledge of AI/LLM testing methodologies, prompt evaluation, intent recognition accuracy ...