501 to 525 of 633 Remote Machine Learning Jobs

person Scope and design solutions (including pricing) to meet client needs — from straightforward translation work to complex solutions involving SaaS platforms, AI/ML workflows and audiovisual production Help manage client expectations, ensuring clarity around scope, timelines, and delivery constraints Collaborate closely with Customer Success, Sales and Product teams ...

commerce, or B2B platforms at scale. Strong experience with API integration, microservices, and third-party service orchestration. Hands‐on exposure to AI/ML technologies and cloud-based AI integrations. Deep understanding of scalable architecture, distributed systems, and modern database design. Demonstrated ability to deliver robust, production-level technology ...

person Scope and design solutions (including pricing) to meet client needs — from straightforward translation work to complex solutions involving SaaS platforms, AI/ML workflows and audiovisual production Confidently challenge client assumptions and requests where required to protect quality, risk and outcomes Collaborate closely with Customer Success, Sales and Product ...

development Exposure to tooling such as Terraform, APIs, or CI/CD pipelines (desirable) Experience working in Business Intelligence/analytics environments AI/ML Exposure (Essential) Candidates must demonstrate practical exposure to AI/ML, such as: Working with cloud-based AI services (e.g. AWS Bedrock or similar) Supporting … enabled data products or workflows Understanding generative AI concepts, including prompt engineering Exposure to ML pipelines or collaboration with Data Science teams (This does not need to be a core specialism but must be clearly evidenced.) Experience Required Typically 4-8+ years' experience in data engineering/BI roles ...

Bachelor’s degree in computer science, engineering, mathematics, statistics, or related fields. 10+ years in technology architecture, 3–5 years focused on AI/ML architecture in large, complex enterprise environments. Hands‐on command of modern AI stack: LLM APIs and fine‐tuning, vector databases, RAG, embedding pipelines, prompt engineering … data platforms (Snowflake, Databricks, or comparable) and integrating AI on top of them. Strong understanding of cloud‐native architecture on AWS, including AI/ML services such as Bedrock. Ability to produce high‐quality architecture artifacts—reference architectures, technology radars, ADRs, capability assessments. Familiarity with enterprise architecture frameworks such ...

essential for the role Experience : 10–15+ years in software/data/AI engineering with 4–6+ years in AI/ML/GenAI architecture Background : Strong experience in designing enterprise-scale platforms and distributed systems Domain (good to have) : Insurance/reinsurance/financial services Education : Bachelor … succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity ...

maintaining developer-facing platforms, SDKs, or internal tools Comfortable articulating technical architecture, vision, and strategy to both technical and non-technical audiences AI/ML & Ecosystem Knowledge Hands-on experience with LLMs, agentic frameworks, and GenAI tooling (models, APIs, orchestration platforms) Practical experience with RAG architectures, prompt engineering, fine-tuning … advocacy Deeply committed to enabling others and multiplying team impact across 500+ engineers Pragmatic - prefers safely shipping good solutions now over perfect solutions later Learning-oriented - actively seeks to deepen AI knowledge while staying grounded in engineering fundamentals Accountability - takes responsibility for platform reliability, team adoption, and driving measurable ...

integration architecture, covering API management, event-driven patterns (Kafka, EventBridge), messaging (JMS, MQ), ETL/ELT pipelines, microservices and service mesh topologies. Champion AI, ML and agentic automation opportunities within the trading technology estate including intelligent scheduling, anomaly detection, automated P&L attribution, predictive maintenance and agentic workflow orchestration (e.g. … migration planning. Working knowledge of Foundry (Palantir) or equivalent analytical platforms for downstream data consumption, operational analytics and decision support. Experience architecting AI/ML and agentic automation solutions within trading technology estates, including LLM integration, RAG patterns, intelligent scheduling and predictive analytics. Familiarity with Agile/SAFe delivery frameworks ...

data in real-time, the structuring, storage and processing of that data for insight, to the usage of the data in event driven applications, ML and AI. As a Senior Manager Architect in Data you will be an experienced technical leader bringing business, industry and deep technical understanding to shape … specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record in leading ...

Salary: .000 € per year Requirements: Expertise in modern cloud/cloud-native architectures and a proven track record delivering production-grade AI/ML solutions (deep learning, generative AI) that solve real business problems. Hands-on experience designing scalable, production-ready AI systems and leading greenfield builds, migrations … context protocol (MCP) for secure, standardised connections between AI agents and enterprise systems/tools. Additional nice-to-haves: Advanced techniques: model distillation, federated learning, autonomous agents or multi agent systems. Experience with AI ethics, governance, bias detection and responsible AI practices for high compliance environments. Hands on skills ...

Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you Job title: ML Ops/ML Engineer Location: Portsmouth 2 days every other week on-site, plus remote working Contract duration: 01/09/2026 Pay Rate …/Kubernetes) DevSecOps (continuous integration, automation, security scanning) Scripting: Bash/Linux/Python Understanding/ability to work in air gapped environments Understanding ML concepts and tools (MLFlow, Airflow) Cloud skills (AWS + Google) Skills: Docker ML Ops AWS Python Bash Kubernetes Docker Containerization If you are interested ...

integration. Frameworks: Hands-on experience building GenAI applications using LangChain and LangGraph (agent architecture design, state management, and graph-based workflow orchestration). ML & Cloud Ecosystems: Solid understanding of ML algorithms, FastAPI, PyTorch/TensorFlow, MLflow, MLOps practices, containerization (Docker, Kubernetes/AWS EKS), and cloud services (AWS Bedrock, SageMaker ...

integration. Frameworks: Hands-on experience building GenAI applications using LangChain and LangGraph (agent architecture design, state management, and graph-based workflow orchestration). ML & Cloud Ecosystems: Solid understanding of ML algorithms, FastAPI, PyTorch/TensorFlow, MLflow, MLOps practices, containerization (Docker, Kubernetes/AWS EKS), and cloud services (AWS Bedrock, SageMaker ...

prioritisation) Omni-channel decisioning (real-time & outbound) Decision governance, explainability, regulatory awareness Strong stakeholder management & Agile delivery Lead NBA Data Scientist Design and optimise ML models driving NBA decisioning. Key Skills: Pega CDH adaptive models Strong MLB/RTIM/arbitration logic knowledge Advanced Python & ML development A/… people with a supportive culture, rooted in our values and driven by our purpose. Promoting a culture of inclusion, collaboration, well-being, and learning and development. Providing increased agility and flexibility within our hybrid working model Investing in employees’ growth through ongoing training and development Autonomy to take ownership ...

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 ...

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 ...

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 ...

partnership with program leaders, the SVP for Research, Innovation, AI, and People & Culture, and the T4P demand pipeline.Stay at the edge of AI/ML advances — particularly in agentic systems, multimodal models, and edge/on-device inference — and bring promising approaches to IRC's programs.Serve as a core member … incorporating appropriate redundancy, security, backup, and recovery strategies — including for sensitive humanitarian data.Research and recommend technology products, services, and standards — particularly in AI/ML — to support procurement, development, and strategic decision-making.DevOps and Engineering OperationsOversee deployment pipelines, CI/CD automation, infrastructure-as-code, and QA processes to ensure ...

them most productive. At Satalia, your opinion matters and your achievements are celebrated. The Role You will be responsible for creating enterprise‐quality AI, ML, and Data Science based solutions. You will be involved in technology selection, API design, and establishing core patterns within our products and client projects. … with extensive experience and familiarity with how enterprise software solutions fit into a wider technical landscape Creating serverless solutions to execute data science and ML models Creating cloud IaC deployment code Guiding a team of Optimisers, Data Scientists, Data Engineers, Cloud Engineers and QA Engineers Understanding and relating customer/ ...

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 ...

offerings.Providing technical leadership across key domains in data and AIDemonstrating deep expertise in one or more areas such as data platforms, AI/ML, analytics, data governance, or integration. Setting direction, establishing best practices, and ensuring architectural quality across engagements, while staying at the forefront of emerging technologies and industry … hear from you.Proven experience in Enterprise and/or Solution Architecture, ideally within data, AI, or analytics-focused environmentsExperience shaping or delivering AI/ML and advanced analytics solutions, with an appreciation of both technical and ethical considerationsDemonstrated experience advising senior stakeholders and building trusted relationships across business and technology ...

Providing technical leadership across key domains in data and AI*** Demonstrating deep expertise in one or more areas such as data platforms, AI/ML, analytics, data governance, or integration. Setting direction, establishing best practices, and ensuring architectural quality across engagements, while staying at the forefront of emerging technologies … you.* Proven experience in Enterprise and/or Solution Architecture, ideally within data, AI, or analytics-focused environments* Experience shaping or delivering AI/ML and advanced analytics solutions, with an appreciation of both technical and ethical considerations* Demonstrated experience advising senior stakeholders and building trusted relationships across business ...

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 ...

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 ...