401 to 425 of 487 Remote/Hybrid Machine Learning Jobs

business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof … transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable ...

position will suit an architect who can move comfortably between traditional enterprise data approaches and modern patterns such as lakehouse, streaming, data mesh and ML-enabled platforms - and who values clarity, governance and technical rigour. Candidates must hold active SC clearance . What experience you'll bring: Leadership: Recent experience … NoSQL technologies. Understanding of ETL/ELT design trade-offs. Awareness of DevOps practices and CI/CD for data platforms. Understanding of how ML/AI workloads integrate into data architectures. Hands-on coding ability (e.g. Python, Java, R) is beneficial but not required. Governance, Security and Data Management ...

driven initiatives. This role will suit someone with a strong foundation in AWS data engineering and BI, alongside practical exposure to AI/ML concepts or tools. You must have strong hands-on experience in: AWS Data Engineering stack (e.g. Glue, S3, Lambda, Redshift, Athena) SQL (advanced level) Python … Terraform, APIs, CI/CD beneficial) Experience working in Business Intelligence/analytics environments Candidates must demonstrate some level of exposure to AI/ML, such as: Working with cloud-based AI services (e.g. AWS Bedrock or similar) Supporting AI-enabled data products or workflows Understanding of generative AI/ ...

platform and accelerate our transformation. The Opportunity You will work closely with our 46-strong engineering team, guiding and influencing how AI, ML, and LLM-based technologies are embedded into our product, processes, and pricing models. Your work will be project-driven, and highly visible — with the unique satisfaction … demonstrate: Either a track record of implementing and documenting CLI & MCP services and advanced AI workflows. or hands-on experience building and deploying ML or Deep Learning pricing/analytical models. You are familiar with Python, AWS and the use of obvious AI platforms such as GPT, Opus, Gemini ...

platform and accelerate our transformation. The Opportunity You will work closely with our 46-strong engineering team, guiding and influencing how AI, ML, and LLM-based technologies are embedded into our product, processes, and pricing models. Your work will be project-driven, and highly visible — with the unique satisfaction … demonstrate: Either a track record of implementing and documenting CLI & MCP services and advanced AI workflows. or hands-on experience building and deploying ML or Deep Learning pricing/analytical models. You are familiar with Python, AWS and the use of obvious AI platforms such as GPT, Opus, Gemini ...

contexts, designing and implementing policy enforcement, safety controls, behavioural monitoring, and evaluation frameworks. This work sits at the intersection of platform engineering, AI/ML systems, and compliance-by-design architecture. You'll be joining at a pivotal moment as Aveni scales from startup to enterprise-grade AI FinTech, working … Strong Python expertise in production environments Experience building cloud-native systems on AWS (Lambda, DynamoDB, S3, EventBridge) Experience working with LLMs or AI/ML systems Strong understanding of APIs, async systems, and scalable architecture Nice to Have Experience with AI safety, guardrails, or policy enforcement Background in agentic systems ...

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 ...

solutions aligned to strategic business goals. Oversee end-to-end solution delivery across the data and AI lifecycle-from ingestion and modelling to ML development, deployment, and monitoring. Act as Delivery Manager for AIPX , ensuring robust data pipelines and high-quality data products aligned with architectural standards and business needs. … Provide technical leadership across data architecture, cloud infrastructure, and AI/ML capabilities . Collaborate with stakeholders to translate business requirements into actionable technical solutions , manage delivery risks, and prioritise backlogs. Establish and enforce engineering best practices , including DevOps/MLOps, coding standards, testing frameworks, and documentation. Design and deliver ...

engineers and PhD-level AI specialists, with strong ties to the University of Edinburgh, giving you access to exceptional expertise and opportunities for continuous learning as part of the day-to-day work. The role We're looking for a Lead Software Engineer to be the most senior technical … regulated financial services What we're looking for A seasoned engineer with 10+ years of experience, including meaningful time building and operating AI/ML systems in production Real technical leadership. You've set direction, made architectural calls, mentored others, and influenced how a team builds, not just what ...

decision-making tools Architect and implement efficient event-driven workflows, asynchronous tasks, and loop constructs for real-time operations Collaborate closely with AI/ML engineers, UI/UX Engineers, Data Scientists, and DevOps to deploy and monitor production-ready services Mentor junior developers and conduct code reviews to maintain … e.g., Celery, RabbitMQ) Desirable: Exposure to containerized environments (Docker, Kubernetes) and CI/CD workflows Familiarity with data pipelines and integration with AI/ML models Contributions to open-source projects or Python/Django communities Don’t meet every single requirement? We encourage you to apply anyway. ...

Domains and their capabilities within Azure/GCP and SME experience in at least one area. Familiarity in AWS is also desirable. • AI/ML security: Knowledge of AI/ML threats and risks, with experience applying security controls for secure deployment of AI services in cloud platforms. • Application Security ...

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 ...

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 ...

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/ ...

collaboration, and long-term impact over quick fixes. Fisher Investments is proud to be a Great Place to Work Certified organization that invests in learning, growth, and career development. The Opportunity: As an AI Engineer on our Data & AI team … design, build, and improve AI solutions that are secure, scalable, and integrated into real workflows. You'll partner closely with AI leads, ML engineers, and application developers to bring AI capabilities into production in a predictable and scalable way. You will report to the AI Team Leader, Technology Innovation. ...

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/ ...

technical discipline Technical knowledge in data centers design and construction, specifically POD-level architecture and modular design, high-density compute environments (AI/ML workloads) and/or liquid cooling architectures Project Management Experience: Experience with Product Design or Product Management with a working knowledge of Agile/Scrum … edge DMAIC experience for process improvement and drive for excellence Experience delivering POD-level architecture and modular design High-density compute environments (AI/ML workloads) and cross-domain system integration (cooling, power, structural) Proven ability to author whitepapers and thought leadership and lead system-level design trade-off discussions ...

creatives, strategists, and studio teams to understand workflows and pain points. Translate needs into user stories, functional specs, and prioritized backlogs. Work closely with ML engineers, platform developers, and integration architects to refine requirements. Ensure features support both production scalability and creative quality. Product Delivery & Release Management Own sprint planning … . Strong understanding of advertising and content operations workflows—especially versioning, localization, and high-volume creative production. Experience working with cross-functional engineering teams (ML, platform, DevOps). Clear communication skills with the ability to translate technical capability into business value. Preferred Experience within WPP, WPP Production, or large agency ...

platforms integrate with Microsoft Dynamics 365 and Dataverse, prior experience isn't required - we're happy to support the right developer in learning these technologies over time. This is a great opportunity for someone who enjoys backend engineering, APIs, cloud services, automation, and solving real-world technical problems … Vault Exposure to Microsoft Dynamics 365 or Dataverse SQL and relational database experience JavaScript or TypeScript knowledge Interest in AI/ML concepts, LLMs, OCR, or workflow automation Experience with Power Platform (Power Apps/Power Automate) What We Offer Remote-first working environment Salary up to £55,000 depending ...

WOULD BE GREAT IF YOU ALSO HAD Experience with Databricks or Snowflake, particularly in analytical or data-intensive contexts Familiarity with AI/ML in production: model serving, prompt pipelines, or agentic patterns Experience with consumption-based and subscription billing Experience with self-serve billing platform integrations Exposure to aviation … during your birthday month ⚡ Octopus EV salary sacrifice scheme 🌍 Work remotely anywhere in the world for up to 1 month per year 📚 Annual learning and development budget. OAG is committed to creating an inclusive workplace where everyone feels valued and able to perform at their best. We welcome applications ...

settle in, you'll take on more of the wider people work recruitment, performance, identifying where the team needs to grow in AI/ML and SRE. We'll support you to learn this side of the role; we don't expect you to arrive with it fully formed. … apply. Your application will be even stronger if you can also demonstrate the following desirable criteria: Hands-on exposure to AI/ML in production systems Experience helping establish SRE or observability practice early on A track record of modernising legacy systems without breaking them What this role offers someone ...

.NET Developer, C# 14 - Financial Consultancy - London (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML Living Standard, CSS ...