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Defaqto is seeking a senior platform architect to design and operate a modern, multi-cloud platform that underpins engineering, data, and product teams. You will implement internal developer platforms, self-service paths, and policy-driven automation across AWS/Azure/Google Cloud environments. You will lead security and reliability efforts, embedding zero-trust principles and GitOps, while mentoring engineers and shaping platform standards across the organisation. #J-18808-Ljbffr

Senior AI EngineerApply: Farringdon: Full time: Posted Yesterday: R118988*Are you excited by the opportunity to shape the future of AI-powered intellectual property tools in a collaborative, flexible environment?Join a dynamic team developing advanced AI solutions and analytics for impactful, global innovation projects*. About the teamAt LexisNexis Intellectual Property Solutions, we bring clarity to innovation. Our products help the innovation community make better-informed decisions, work more productively, meet regulatory requirements and achieve stronger outcomes. Every day, our work supports the development of technologies and processes that advance industries—and, ultimately, society. We are proud to serve the innovators whose ideas help shape a better future.The AI Platform team builds the capabilities that power AI across LexisNexis IP’s flagship analytics products. We explore emerging AI technologies and turn them into intelligent, practical features for our customers, alongside reusable tools and services for our internal platform. You will join a team working with modern, cloud-native infrastructure and play a meaningful role in building LexisNexis IP’s AI future. About the roleOur IP analytics platform brings together highly curated, enriched datasets; sophisticated analytical tools; streamlined workflows; and powerful visualisations. It enables essential IP activities including competitive intelligence, benchmarking and portfolio optimisation—all in one place.As part of the AI Platform team, you will help research, design and deliver the AI capabilities behind these products. You will work across the full development lifecycle, from evaluating emerging technologies and designing agentic systems to building scalable, cost-efficient production services. Responsibilities* Research and evaluate emerging AI technologies for use in customer-facing features.* Design and build agentic AI systems and AI-powered product capabilities.* Develop reusable frameworks for evaluating AI quality, safety and performance.* Build scalable, high-performance and cost-efficient services.* Work with technologies including Python, AWS (EKS, S3, RDS and Terraform), and AI/ML and data-science libraries such as Google ADK, pandas and FAISS.* Help develop and evolve AWS platform infrastructure using Terraform, including RDS instances and EKS clusters.* Mentor junior developers in engineering best practices, including test-driven development with pytest and idiomatic Python.* Write and review detailed technical specifications for moderately complex system components.* Participate actively in development processes, code reviews and Scrum ceremonies.* Collaborate closely with stakeholders across the organisation. Requirements* Experience working with modern Python codebases.* Experience with AWS or a comparable cloud platform, including infrastructure-as-code practices.* A solid understanding of software engineering principles, techniques and delivery processes.* Experience with generative AI and agentic AI systems.* Strong interpersonal, communication and presentation skills, with the ability to engage varied audiences.* Experience with Azure Pipelines and Terraform is desirable, but not essential.Work in a Way that Works for YouWe promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.Working PatternWorking flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.About the BusinessLexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis serviceWe know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.**Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. #J-18808-Ljbffr

Salary: £45,000 - 85,000 per year • Experience working with modern Python codebases., • Experience with AWS or a comparable cloud platform, including infrastructure-as-code practices., • Solid understanding of software engineering principles, techniques and delivery processes., • Experience with generative AI and agentic AI systems., • Strong interpersonal, communication and presentation skills, with the ability to engage varied audiences., • Experience with Azure Pipelines and Terraform is desirable but not essential., • Research and evaluate emerging AI technologies for customer-facing features., • Design and build agentic AI systems and AI-powered product capabilities., • Develop reusable frameworks for evaluating AI quality, safety and performance., • Build scalable, high-performance and cost-efficient services., • Work with Python, AWS services including EKS, S3 and RDS, Terraform, and AI, machine-learning and data-science libraries such as Google ADK, pandas and FAISS., • Develop and evolve AWS platform infrastructure using Terraform, including RDS instances and EKS clusters., • Mentor junior developers in engineering best practices, including test-driven development with pytest and idiomatic Python., • Write and review detailed technical specifications for moderately complex system components., • Participate in development processes, code reviews and Scrum ceremonies., • Collaborate with stakeholders across the organisation., • Agentic AI, • AI, • AWS, • Azure, • Cloud, • Data-Science, • Support, • Python, • Terraform, • pandas, • pytest We are LexisNexis Intellectual Property Solutions, helping the innovation community make better-informed decisions through products that support productivity, regulatory compliance and stronger outcomes. Our AI Platform team builds capabilities for our flagship analytics products, using modern, cloud-native infrastructure to develop practical AI features, tools and services. Our IP analytics platform combines curated, enriched datasets, analytical tools, workflows and visualisations for competitive intelligence, benchmarking and portfolio optimisation. This full-time role is based in Farringdon and offers flexible working hours. We support work-life balance through wellbeing initiatives, shared parental leave, study assistance and sabbaticals, with additional country-specific benefits. We are committed to an accessible hiring process and equal opportunity employment. last updated 40 week of 2026 #J-18808-Ljbffr

As a sole contributor, you'll Lead the design and operation of a modern multi-cloud platform that underpins engineering, data and product teams across the business. Department: Technology Location: London • Design, build and operate our multi-cloud and hybrid-cloud platform across at least two of the top-three providers (AWS, Azure and/or Google Cloud), plus on-prem/hybrid connectivity where needed., • Build and own an internal developer platform and self-service "golden paths" that make cloud infrastructure feel invisible and commoditised for engineering, data and product teams; and their "AI agents"., • Deliver everything as code: infrastructure-as-code, GitOps, reusable modules, CI/CD pipelines and policy-as-code guardrails., • Leverage AI agents extensively to automate and optimise platform work - provisioning, cost and performance optimisation, incident response, remediation and documentation., • Prepare the infrastructure for AI agents as first-class "engineers": safe machine identities, scoped permissions, sandboxes, approval workflows and audit trails so agents can provision and operate infrastructure within tight guardrails., • Embed a zero-trust security model across identity, network, workloads and data for both human and machine/agent identities; secure by default, least privilege, secrets management and continuous compliance., • Apply SRE practices – SLOs/SLIs, observability, capacity planning, resilience and blameless incident management – to keep the platform reliable and cost-efficient., • Partner with data engineering to design and optimise data pipelines, data stores and large-scale analytics infrastructure such as BigQuery, including query, cost and performance tuning., • Mentor engineers, set technical direction and champion strong platform and security engineering standards across the organisation., • Extensive hands-on experience designing, building and operating production cloud infrastructure at senior or lead level., • Multi-cloud experience across at least two of the top three providers (AWS, Microsoft Azure and Google Cloud), including a recognised professional-level cloud certification for each of those two providers (for example AWS Solutions Architect / DevOps Engineer Professional, Azure Solutions Architect / DevOps Engineer Expert, or Google Cloud Professional Cloud Architect / DevOps Engineer)., • Strong background in modern hybrid-cloud architecture and connecting cloud with on-prem/edge environments., • Deep infrastructure-as-code and automation skills (e.g. Terraform/OpenTofu, Pulumi, Ansible), GitOps and CI/CD, plus containers and orchestration (Docker, Kubernetes)., • Proven experience building internal developer platforms, self-service golden paths and platform-as-a-product to abstract away cloud complexity for engineering teams., • Practical experience using AI agents / LLM-based tooling to automate and optimise infrastructure work, and interest in designing infrastructure that AI agents can operate safely., • Strong security engineering mindset with hands-on zero-trust experience across identity, network, workloads and data — including secrets management, least-privilege IAM and machine/workload identity., • Solid programming/scripting ability (e.g. Python, Go) and strong observability, reliability and cost-optimisation practices., • Experience working as a Site Reliability Engineer (SRE) with SLOs/SLIs, error budgets and incident management., • A third top-tier cloud certification, or specialist security/Kubernetes certifications (e.g. CKA/CKS)., • Significant data engineering experience: designing and operating data pipelines and data stores, and optimising databases and large-scale data infrastructure such as BigQuery (including query, cost and performance tuning)., • Experience preparing environments for autonomous/agentic workloads — sandboxes, scoped machine identities, approval workflows and audit trails., • Experience in a regulated or fintech environment., • Pragmatic and hands-on, with a strong bias for automation and eliminating toil., • Product mindset — you treat internal engineers (human and AI) as your customers and obsess over their experience., • Security- and reliability-first, collaborative, and comfortable leading and mentoring. Location: We have multiple offices across the UK. We have a new office in London which is becoming more central to where collaborate in person. We have a flexible working policy with a few days per week in the office. Right to Work: Applicants must already hold a legal right to work in the UK without time restrictions and without the need for future sponsorship. We are unable to provide Skilled Worker visa sponsorship. Fintel plc and all the businesses within it adopt a zero-tolerance approach to discrimination on any of the protected grounds in the Equality Act 2010. We are committed to providing equal opportunities to all current and prospective employees regardless of age, disability, sex, sexual orientation, pregnancy and maternity, race or ethnicity, religion or belief, gender identity, or marriage and civil partnership. We aspire to have a diverse workforce because, in our view, diversity enables better business outcomes. We also believe that a more inclusive workplace, where people of different backgrounds work together, ensures better outcomes for all staff. From application to interview, we place inclusion at the heart of all we do. #J-18808-Ljbffr

high-performance and cost-efficient services. Work with technologies including Python, AWS (EKS, S3, RDS and Terraform), and AI/ML and data-science libraries such as Google ADK, pandas and FAISS.Help develop and evolve AWS platform infrastructure using Terraform, including RDS instances and EKS clusters.Mentor junior developers in engineering best practices, including test-driven development with pytest and idiomatic Python.Write and review detailed technical specifications for moderately complex system components.Participate actively in development processes, code reviews and Scrum ceremonies.Collaborate closely with stakeholders across the organisation.RequirementsExperience working with modern Python codebases.Experience with AWS or a comparable cloud platform, including infrastructure-as-code practices. A solid understanding of software engineering principles, techniques and delivery processes.Experience with generative AI and agentic AI systems. Strong interpersonal, communication and presentation skills, with the ability to engage varied audiences.Experience with Azure Pipelines and Terraform is desirable, but not essential.Work in a Way that Works for YouWe promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.Working PatternWorking flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.About the BusinessLexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis will join a team working with modern, cloud-native infrastructure and play a meaningful role in building LexisNexis IP's AI future.About the roleOur IP analytics platform brings together highly curated, enriched datasets; sophisticated analytical tools; streamlined workflows; and powerful visualisations. It enables essential IP activities including competitive intelligence, benchmarking and portfolio optimisation-all in one place.As part of the AI Platform team, you will help research, design and deliver the AI capabilities behind these products. You will work across the full development lifecycle, from evaluating emerging technologies and designing agentic systems to building scalable, cost-efficient production services. ResponsibilitiesResearch and evaluate emerging AI technologies for use in customer-facing features.Design and build agentic AI systems and AI-powered product capabilities.Develop reusable frameworks for evaluating AI quality, safety and performance. Build scalable #J-18808-Ljbffr

Senior Data Scientist I Excited to uncover insights from complex data and turn them into impactful business decisions? Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data? About the team: LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the world’s most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows. Protégé in PatentSight is LNIP’s next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded in trusted data and established metrics. About the role: We are seeking a Senior Data Scientist I to help the design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions. • Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search)., • Define agentic workflows and reasoning strategies for multi-step IP tasks., • Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality)., • Analyse large-scale IP datasets to extract insights and improve model performance., • Establish best practices for model evaluation, validation, and benchmarking., • Translate experimental results into clear product recommendations and business impact., • Collaborate with product, IP experts, and engineers to align solutions with user needs., • Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.)., • Strong experience in machine learning, NLP, and LLM-based modeling., • Strong experience designing and running experiments, including model evaluation and iteration., • Strong coding skills in Python., • Experience with generative AI techniques (e.g., prompt engineering, RAG)., • Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases., • Experience designing agentic workflows and reasoning strategies, with hands‑on experience applying agent frameworks (e.g., Google ADK, LangChain, LangGraph, AutoGen) in real-world use cases., • Proficiency in data analysis tools., • Strong foundation in statistics, modeling, and large-scale text processing. Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working for you We know that your well-being and happiness are key to a long and successful career. • Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive., • Generous holiday allowance with the option to buy additional days., • Health screening, eye care vouchers, and private medical benefits., • Wellbeing programs., • Life assurance., • Access to a competitive contributory pension scheme., • Save As You Earn share option scheme., • Travel Season ticket loan., • Electric Vehicle Scheme., • Optional Dental Insurance., • Maternity, paternity, and shared parental leave., • Employee Assistance Programme., • Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you., • Access to employee resource groups with dedicated time to volunteer., • Access to extensive learning and development resources., • Access to employee discounts scheme via Perks at Work. About the business- At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results We know your well-being and happiness are key to a long and successful career. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights. LexisNexis Legal & Professional is a leading global provider of legal, regulatory and business information and analytics that help customers increase productivity, improve decision-making and outcomes, and advance the rule of law around the world. We help lawyers win cases, manage their work more efficiently, serve their clients better and grow their practices. We assist corporations in better understanding their markets and preventing bribery and corruption within their supply chains. We partner with leading global associations and customers to help collect evidence against war criminals and provide tools to combat human trafficking. We endeavour to advance the rule of law across the world.Our teams are combining unparalleled legal and business information with analytics and technology to advance what’s possible for the way our customers work and to advance what’s possible in the world by strengthening the rule of law. #J-18808-Ljbffr

Google UK Sovereign Operations in Hampshire seeks a Network Operations Engineer to design, deploy and operate private cloud networks for critical UK customers.

This role involves engaging directly with clients to offer advanced architectural advice and deliver solutions using Google Cloud technologies.

We deliver and operate these private cloud deployments for the most critical customers, helping scale, secure and maintain the deployment whilst working closely with Google Cloud product teams to continually improve our technology. Lead colocation data center fit out and IT equipment commissioning,

See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire. Google is proud to be an equal opportunity and affirmative action employer. Google is a global company and, in order to facilitate efficient collaboration and communication g

At Datatonic, we are Google Cloud's premier partner in cloud & AI, driving transformation for world-class businesses. Successful candidates will bring multiple years’ experience with cloud platforms, preferably with Google Cloud. Collaborate closely with partners such as Google Cloud, Tableau, and

Senior Performance Marketing Manager to maximize GMV and contribution from Google & Bing Shopping/PMax through advanced campaign architecture, feed intelligence, and efficiency control.

We are seeking a skilled Google Ads Specialist (PPC Account Manager) with a strong background in managing Google ad campaigns within an agency setting. Google Ads: 4 years (required)). Proficiency in using Google Ads Manager and other related tools.

Manage and optimize Google & Bing Shopping campaigns to maximize GMV and contribution.

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