126 to 150 of 3,575 Remote/Hybrid AI Jobs

Cloud (OIC) solutions for seamless integration across Oracle and third‐party applications. Design and implement Databricks‐based modern data platforms supporting analytics, reporting, and AI/ML use cases. Develop enterprise data architecture standards, data models, and integration patterns to ensure consistency and scalability. Lead cloud migration and modernization initiatives ...

observability platform. The ideal candidate will have deep expertise in Dynatrace, Splunk, OpenSearch/Elasticsearch, Kubernetes, Linux, and cloud-native observability solutions. Experience leveraging AI/ML and Generative AI to improve observability, automate operations, and accelerate incident resolution is desirable. The role will operate at approximately 20% automation … OpenSearch/Elasticsearch clusters, including indexing strategies, performance tuning, shard optimization, backups, and capacity planning. Configure Dynatrace OneAgent, ActiveGate, Synthetic Monitoring, RUM, DEM, Davis AI, and APM. Administer Splunk Enterprise, Universal Forwarders, Indexers, Search Heads, Cluster Manager, Deployment Server, and Splunk ITSI. Develop dashboards, alerts, reports, and executive operational metrics. ...

collaborating with product owners, software developers, QA analysts, and business stakeholders. In addition to strong technical skills, this individual will be comfortable leveraging modern AI-assisted development tools to improve code quality, development efficiency, and team productivity. The role also includes mentoring team members, contributing to technical direction, and helping … full SDLC activities including requirements clarification, solution design, implementation, testing, deployment, and support. Modern Engineering Practices Leverage modern development tools and practices, including AI-assisted coding tools (GitHub Copilot, LLM-based coding assistants), to improve quality, test coverage, and delivery efficiency. Help establish practical standards for responsible AI usage, including ...

ambition is to be the most successful games company in the world, and we’re just getting started. The role is working within our AI group The group AI team is a central function that works both with other central groups like marketing and game solutions and the game studios … which are part of Tripledot. Within the group AI team, you’ll be working with other AI/ML Eng, Data engineers, analysts and product owners. Role Overview Within the various studios and other central teams, you will interact with data, engineering, and product teams. The role will be directly ...

direct line management of the Finance Process Specialist and any future roles within the finance systems team. The role also carries responsibility for governing AI adoption within Finance and ensuring all technology outputs meet audit and public body requirements. Key Responsibilities The key responsibilities of the role are outlined below … improvement within the team, supporting colleagues of varying technical skills to adopt new tools and translating complex system logic into accessible, well-documented outputs. AI governance and adoption Evaluate and govern AI tool deployment in Finance, identifying where AI can improve efficiency, data quality, or reporting. Ensure AI-assisted outputs ...

direct line management of the Finance Process Specialist and any future roles within the finance systems team. The role also carries responsibility for governing AI adoption within Finance and ensuring all technology outputs meet audit and public body requirements. Key Responsibilities The key responsibilities of the role are outlined below … improvement within the team, supporting colleagues of varying technical skills to adopt new tools and translating complex system logic into accessible, well-documented outputs. AI governance and adoption Evaluate and govern AI tool deployment in Finance, identifying where AI can improve efficiency, data quality, or reporting. Ensure AI-assisted outputs ...

innovation company helping people live longer, healthier lives. We partner with life sciences organisations which include, pharmaceutical, biotech and healthcare leaders, to build transformative AI and data driven technologies addressing real-world health challenges. From strategy and research to UX design and agile development, we deliver and validate impactful solutions … environment where bold ideas thrive and make a measurable difference in people’s lives. Your Mission We are hiring Forward Deployed Engineers who treat AI as the substrate of how software gets built—not a tool to be cautious of, not something they are "exploring," but the medium they work ...

underpinned by technology created with purpose. We’re looking for GenAI/Agentic Engineers who want to shape the future of Machine Learning, Generative AI and Agentic AI. You will be tasked with building and deploying intelligent systems that combine cutting-edge models, agentic frameworks, and full-stack engineering … solve real business problems. If you’re excited by rapid prototyping, scaling AI products into production, and using technology to make a tangible impact, this is your place to do it. YOUR ROLE In this position you will play a key part in: Designing, developing, testing, and deploying both front ...

Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive … lead applications systems analysis and programming activities. Proven leadership in building and scaling enterprise data services, driving cloud transformation, optimising performance, capacity, and delivering AI enabled operational and analytics platform. Responsibilities: Lead the design, engineering and delivery of next generation cloud data services supporting data pre-processing, advances matching engines ...

with business requirements Configure and customize Salesforce applications including Service Cloud Marketing Cloud Pardot Marketing Cloud Account Engagement Data Cloud Agent force capabilities and AI powered automations Develop and maintain Apex classes triggers Lightning Web Components LWC and Salesforce Flows Design and implement REST and SOAP API integrations with external … backup and recovery solutions including tools such as Odaseva Work with Salesforce Data Cloud for customer data unification segmentation and integrations Support implementation of AI driven Salesforce solutions using Agent force and Einstein capabilities Collaborate with business stakeholders product owners architects and functional teams to gather and translate requirements into ...

+ Benefits We're looking for an experienced Data Engineer to join a growing technology team delivering modern data platforms and AI-driven solutions. This is an excellent opportunity to work on large-scale data engineering and machine learning projects using the latest cloud technologies. The Role You'll design … doing: Design and build scalable data pipelines using Python, SQL, Spark and Databricks. Develop, deploy and optimise machine learning models, including NLP and generative AI solutions. Build data ingestion pipelines across batch and streaming environments. Design data models and implement best practices for governance and data quality. Work with DevOps ...

London – Manager, Data Science & Marketing Effectiveness Ekimetrics is a global leader in Marketing Effectiveness and AI-powered solutions. Since 2006, we’ve been helping businesses optimise marketing and operations by combining AI with business and tech expertise across 4 domains: Marketing Effectiveness, Customer analytics, Operational excellence, ESG & sustainability. With … deliver tailor-made solutions that turn data into real positive impact, leveraging our unique combination of technology and services. We excel at delivering AI impact at scale. Our mission is to harness this power to tackle the world’s most urgent issues. We commit to responsibility and frugality in AI ...

Reliability Engineer to join our Cloud Infrastructure and Platform Engineering team. We're looking for someone who is curious about the evolving role of AI in infrastructure engineering, someone who actively explores how AI-assisted tooling, automation, and intelligent observability can raise the bar for reliability and developer experience. … your ideas and contributions are valued Clear paths for career growth, including training and certification support Access to modern tools and technologies, including emerging AI-powered engineering tool Flexible work arrangements, including remote work options What You’ll Do Collaborate with globally distributed development teams to design, build, and operate ...

Full Stack Developer, you will design and build high quality software solutions that power meaningful outcomes for our clients. You will contribute as an AI fluent engineer, collaborating across cross functional teams to deliver secure, scalable, and modern digital platforms. This role offers the opportunity to shape future ready solutions … testing and structured engineering practices.Stay current with evolving technologies and contribute to C&CA knowledge communities.Support growth of a future ready workforce by applying AI enabled practices and mentoring peersYour Skills:Strong experience in Java 17+ software development and Spring Boot 3+.Strong core Java skills including Generics, OOPS, Collections, Multithreading ...

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. A track record in leading the architecture vision, design & implementation … Enterprise scale data applications, with specific focus on Distributed Data Processing systems, Data LakeHouse, Data Products, Streaming data, ML & AI platform capabilities Working knowledge of ML and Generative AI, including the leverage of Agentic AI based systems within the Architecture and Software Development lifecycle Excellent communication skills, effortlessly navigating across ...

operational right hand of the CDAO. This is a pure project management role — you will act as the primary facilitator across a Data Engineering, AI/ML, BI, and Investment Pricing teams, translating high-level organisational ambition into structured, deliverable plans. This is not a coordination role. You will … degree in a business, data, or technology-related discipline is desirable. Technical acumen — sufficient familiarity with the data stack (SQL, Power BI, Databricks, AI/ML workflows) to manage technical teams effectively and ask the right questions. Outstanding communication skills — engaging and credible with both technical engineers and senior commercial ...

Full Stack Developer, you will design and build high quality software solutions that power meaningful outcomes for our clients. You will contribute as an AI fluent engineer, collaborating across cross functional teams to deliver secure, scalable, and modern digital platforms. This role offers the opportunity to shape future ready solutions … structured engineering practices. Stay current with evolving technologies and contribute to C&CA knowledge communities. Support growth of a future ready workforce by applying AI enabled practices and mentoring peers Your Skills: Strong experience in Java 17+ software development and Spring Boot 3+. Strong core Java skills including Generics, OOPS ...

diverse range of clients productionise machine learning using Open Source MLOps. We exist to help our customers harness and channel the power of AI safely and effectively, to make positive change and use AI for good. Our work sits across the whole development lifecycle, from prototyping new machine learning models … greater than the sum of parts: we are a team, one that isn’t just us but our customers and our community. Positive impact: AI is going to change the world. We choose to use it for good and leave a positive legacy. A typical day You’ll work within ...

some examples, big and small, of the kinds of product feature work our ML Engineers have taken part in over the last year: Building AI Agents to explore and derive insights from users transactional data Developed deeper understanding of users finances through models extracting meaning from transactional data. Think about … Vitality, dental cover, and life assurance Online mental health support via Spill Enhanced parental leave Workplace Nursery Scheme Paid for access to multiple AI platforms (ChatGPT, Codex, Claude) Access to the latest AI coding models Pick your kit - choose between a Windows or an Apple computer Regular socials and activities ...

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 the architecture … vision, design & implementation of Enterprise scale data applications, with specific focus on Distributed Data Processing systems, Data LakeHouse, Data Products, Streaming data, ML & AI platform capabilities Working knowledge of ML and Generative AI, including the leverage of Agentic AI based systems within the Architecture and Software Development lifecycle Excellent communication ...

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 the architecture … vision, design & implementation of Enterprise scale data applications, with specific focus on Distributed Data Processing systems, Data LakeHouse, Data Products, Streaming data, ML & AI platform capabilities Working knowledge of ML and Generative AI, including the leverage of Agentic AI based systems within the Architecture and Software Development lifecycle Excellent communication ...

team dedicated to building scalable and secure data platforms. You will leverage your expertise to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations. What You Will Bring Design and build high-performance data pipelines: to extract, transform, and load … seamlessly move data from source systems to Data Warehouses, Data Lakes, and Lake Houses using Open Source and cloud tools. Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leveraging ML to develop predictive models and drive business insights. Monitor and optimize data pipelines and infrastructure ...

Aioi R&D Lab - an AI tech hub in one of the fastest-growing insurance companies. We research and develop AI systems that catapult insurance from a slow-moving, traditional past into a data-driven, technology-lead and society-defining future. We’re looking for dynamic, driven professionals like … trade-offs clearly to non-specialists. Desirable Experience architecting and designing complex distributed software systems for cloud environments. Experience developing and deploying machine learning, AI or data-driven systems in production or near-production settings. Technical Lead and/or Line Manager experience. Why Join Us? We're committed ...

alongside senior engineers and product leadership, you'll contribute to the evolution of our platform while developing your own technical expertise across cloud infrastructure, AI, geospatial data and developer tooling. You'll be responsible for: Designing and building scalable backend services and APIs using C# .NET. Developing platform capabilities that … services hosted within Microsoft Azure. Implementing Infrastructure as Code, CI/CD pipelines and engineering automation to improve reliability and developer productivity. Contributing to AI-powered workflows including document processing, data extraction and intelligent automation. Working with the Security Manager to implement technical controls supporting ISO 27001 and Cyber Essentials. ...

into secure containerised environments. You will work across the full lifecycle from development through to production, shaping architectures that support operational users, analytics, and AI enabled capabilities. This role is hands on and engineering. You will write production grade code, contribute to secure platform patterns, and ensure that your data … Dagster or Prefect. Data Quality and Lineage Familiarity with tools and techniques for data testing, documentation and lineage. Examples include Great Expectations or dbt. AI and MLOps Understanding of how to operationalise machine learning models in production, including model packaging, monitoring and controlled deployment. Containerisation and Kubernetes Confidence deploying applications ...