167 jobs found

Content Designer, Strategic Technology Experiences (Short Term Employee)# Content Designer, Strategic Technology Experiences (Short Term Employee)London, UK Content Strategy+ 1 moreApply nowJoin the WhatsApp Content Design team and help shape new forms of connection, expression, and utility at WhatsApp's global scale. This role will support Broadcast products, mainly Status-a space that prioritizes expression and is table stakes for WhatsApp business priorities. In this role you'll help steer WhatsApp-specific feature development and transparency. You'll also work closely with Broadcast leads on design systems, quality, cross-pillar integrations, and decision-making.This is a short term employment (STE) position. Content Designer, Strategic Technology Experiences (Short Term Employee) Responsibilities Design end-to-end content experiences for complex product surfaces, including UI copy, onboarding flows, error messaging, and in-product guidance across Meta's technology platforms Translate technically complex concepts - including AI-generated features, developer tools, and emerging technology capabilities - into clear, user-centered language Collaborate with product designers, researchers, engineers, and product managers to define content strategy and information architecture for new and evolving product areas Develop and maintain content frameworks, voice and tone guidelines, and terminology standards that scale across product teams and platforms Conduct content audits and apply findings to improve consistency, clarity, and usability across product surfaces Use data, user research, and A/B testing insights to evaluate content effectiveness and iterate on copy to improve user comprehension and task completion Contribute to team-level content design goals by identifying gaps in existing systems and proposing scalable solutions Communicate content rationale and tradeoffs clearly to cross-functional partners and leaders, influencing product decisions through well-reasoned content recommendations Leverage AI tools to accelerate content exploration, prototype copy variations, and streamline documentation and review workflows Openly share project progress and priorities with key stakeholders, incorporating feedback loops into the content design process Minimum Qualifications 5+ years' experience in UX writing Examples of finished wireframes, or design mocks co-authored using design tools, that have been used to drive decision-making within a team Experience in simplifying and communicating complex ideas to broad audiences in a compelling way Familiarity with tools for managing and updating content at scale Examples of work in design systems and systems thinking Demonstrated experience leading projects with minimal direction and handling a large degree of ambiguity Preferred Qualifications Familiarity with information architecture principles and experience contributing to end-to-end product design processes alongside UX designers Track record of contributing to or establishing content design standards at a team or organizational level Experience working across multiple product lines or platforms simultaneously, adapting content systems to varied user contexts and technical constraints Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience designing content for AI-powered product experiences, conversational interfaces, or natural language interaction models Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About the Role Infrastructure Engineer Office-based Oxfordshire We are expanding our engineering capability and are looking for an Infrastructure Engineer to support the design, commissioning, and operation of our telecoms and enterprise IT lab. This is an office-based, hands-on role working closely with researchers and senior engineers to ensure lab infrastructure is robust, accurately configured, and meets the requirements for deep technical research into telecoms and IT network systems. We are looking for someone with practical infrastructure and/or networking experience who is keen to deepen their skills. While prior hands-on knowledge is important, we are willing to provide training and support to help the right candidate grow into the role. The Role Supporting the design, build, and layout of lab infrastructure containing telecoms and enterprise equipment Network planning including numbering (e.g. IP addresses, GTs, Cell IDs) and RF frequency allocation Installation and commissioning of routers, switches, firewalls, servers and telecoms systems Day-to-day operation, monitoring, and maintenance of lab environments to ensure reliability and availability Working with Linux-based systems for configuration, management, scripting, and troubleshooting Network configuration, connectivity testing, and fault-finding across physical and virtual environments Preparing, maintaining and adjusting lab setups to support ongoing research activities Maintaining accurate documentation of lab configurations, changes, and procedures Ensuring the safety of the lab environment and staff, including physical, electrical and RF About You Essential Skills & Background Experience installing and commissioning network or telecoms equipment Practical knowledge of TCP/IP networking fundamentals Familiarity with router and switch CLIs and GUIs (e.g. Cisco, Juniper, Nokia) Understanding of routing protocols such as MPLS, OSPF or BGP Familiarity with Linux (command-line usage, system basics, configuration, and troubleshooting) Experience in an infrastructure, networking, telecoms, or lab-based engineering role A hands-on, methodical approach to working with both physical and logical infrastructures Willingness to learn new technologies and develop deeper expertise over time Comfortable working in a lab environment with real hardware Ability to maintain technical network diagrams and commissioning procedures using Microsoft Office Desirable Experience Ability to configure IP addressing, VLANs, and basic Layer 2/Layer 3 network settings Experience of common IETF network protocols (e.g. SNMP, TACACS+/RADIUS, Syslog, NTP, DHCP, DNS, IPsec, X.509) Knowledge of mobile telecoms (e.g. cellular network concepts, mobile cores, RAN fundamentals, or related protocols) Experience setting up virtual, containerised or cloud computing environments Relevant certifications (e.g. CCNA, Linux certifications) What's on Offer Hands-on work with real-world enterprise and telecoms infrastructure Opportunity to work alongside experienced engineers and researchers Training and support to develop and maintain skills in specialist telecoms and lab environments Collaborative, engineering-driven culture, with high standards for quality Competitive salary and benefits Based in Oxfordshire Eligibility As you will be required to work with UK Government departments, all applicants must already hold, or be able to obtain, the necessary UK security clearance. Therefore, the following must apply: You must be a British Citizen. If you hold dual nationality, of which one component is British, your application will still be considered. You'll usually need to have been a resident in the UK for seven out of the last ten years before applying for a role with us. About Us The National Physical Laboratory (NPL) is a world-leading centre of excellence that provides cutting-edge measurement science, engineering and technology to underpin prosperity and quality of life in the UK. Find out more about what it is like working here At NPL, we believe our success is a result of the diversity and talent of our people. We strive to nurture and respect individuals to ensure everyone feels valued by treating everyone on the basis of their own individual merits and abilities regardless of their own or perceived identity, as part of our commitment to diversity & inclusion, we ensure we're creating an environment where all our colleagues feel supported and welcome. More about this on our Diversity & Inclusion page. We are committed to the health and well-being of our employees. Flexible working and social activities are embedded in our culture to create a positive work-life balance, along with a broad range of rewards, benefits and recognition. Our values are at the heart of what we do, and they shape the way we interact, develop our people and celebrate success. To ensure everyone has an equal chance, we're always willing to make reasonable adjustments to the recruitment process. If you would like to discuss, please contact us.

UX/UI Designer Location: Manchester, GB Full Time / Part Time: Full Time Contract Type: Permanent Based in Manchester, this permanent full-time role gives you the chance to shape fan-facing digital experiences that are clear, accessible and beautifully designed. You will play a key part in turning product goals into development-ready UX and UI solutions that support the Club's digital journey and make it easier for fans to engage with us. Who We Are Manchester City is a football club rooted in East Manchester, with a story that began in 1880 and continues to grow today. Built on resilience, belief and togetherness, success on the pitch is driven by the moments and memories shared with millions of Fans around the world. City is known for its bravery, its determination to the very end and its strong connection to where we come from. With Mancunian roots and a global outlook, we are shaped by our Fans and driven by a long-term vision, from developing future talent to supporting the communities we call home. Together, we are creating the next chapter, the City way. The Role As UX/UI Designer within Fan Technology Solutions, you will shape the digital experiences that supporters use across Manchester City's fan-facing products and services. You will turn product goals into clear, development-ready design solutions that are engaging, accessible and consistent. Working closely with product managers, developers, researchers and other designers, you will create user flows, prototypes and detailed design documentation that help teams move from early ideas to polished delivery. You will use fan feedback, performance insight and design thinking to refine journeys and improve the overall digital experience. You will also help develop and maintain shared design patterns and contribute to a strong design system that supports current and future products. In doing so, you will build trusted relationships across the business and help champion thoughtful, fan-centred design. What You'll Bring Experience creating development-ready, responsive UX and UI designs for digital products. Ability to develop user flows, prototypes and clear design documentation that support delivery. A good understanding of accessible design principles and how to apply them in practice. Confident use of Figma to shape, test and present design ideas. Clear and effective communication skills, with experience working collaboratively across product, technical and research teams. Ability to use fan feedback, user testing and performance insight to improve products and solve design challenges. Why Choose Us Working at Manchester City means being supported to do your best, with the flexibility and encouragement to look after your wellbeing. We are committed to helping our people learn, grow and thrive in a culture built on collaboration, openness and hard work. 26 days' annual leave plus a day off for your birthday, private healthcare and dental cover, and an annual discretionary bonus. you will also have access to a Health Cash Plan, Employee Assistance Programme with 24/7 GP support, and a company pension and life assurance. Manchester-based employees also benefit from free on-site parking, complimentary breakfast and lunch, and access to a range of sports and leisure clubs. You can enjoy a range of additional benefits, including cycle to work, Give As You Earn, discounted match tickets, savings in the City Store, a free City+ subscription, stadium tour discounts, and wider retail and lifestyle offers. City Football Group promotes equal opportunities in employment and we positively welcome applications from all candidates regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex and sexual orientation. We will screen all applicants and select candidates whose skills and experience seem to meet our needs. We will carefully consider your application during the initial screening and will contact you only if you are selected for an interview. If you require reasonable adjustments or any support throughout the process, please contact and we will be happy to help. All CFG recruitment communications originate email addresses. If you receive communications from Gmail, or other personal email services claiming to represent CFG, please verify with the hiring team. Employment is subject to the provision of proof of eligibility to work in the UK. Due to our safeguarding promise, all UK-based CFG roles will be subject to a DBS check upon commencing employment with us. This will be either a basic, standard or enhanced check depending on the job role and responsibilities.

£52,253 to £60,834 per annum This is a fixed term position for 2 years due to time limited funding from an external grant. Overall purpose: To lead the deployment, scaling and maintenance of machine learning systems for petabyte-scale connectomics data within the group of Dr. Albert Cardona at the MRC Laboratory of Molecular Biology. The role will focus on turning machine learning models for volume electron microscopy into robust, reproducible and observable production pipelines, supporting automated segmentation, synapse detection, proofreading and large-scale image analysis. The post holder will design and maintain infrastructure for training, inference, monitoring, debugging and data processing across GPU/CPU clusters, on-prem storage systems and HPC environments. They will work closely with scientists, software engineers and collaborators to ensure that ML workflows are reliable, scalable, version-controlled and usable by the wider research group. Inspire ideas for research in the context of the work of the Neurobiology Division. To play a major role in the work of the research group, through the conduct of research, introduction of new ideas, dissemination of research results, support and training of others. Contribute to the strategic development of the group and of the division overall. To be a focus of expertise on ML-based image processing, computational data analysis, systems administration and software engineering as relate to the day to day operations of a neuroscience research laboratory acquiring and analysing data from electron microscopes and other imaging modalities. Main duties: To deploy, maintain and improve machine learning models for production-scale inference on large volume electron microscopy datasets. To build robust ML pipelines for training, batch inference, validation, monitoring and reprocessing across GPU and CPU compute environments. To debug failures across the full ML stack, including model execution, data loading, storage I/O, distributed jobs, container environments, cluster scheduling and database interactions. To keep up to date with developments in the field, proposing or implementing changes of direction as necessary. To identify, develop and apply a broad range of techniques to pursue the research objectives. To present your work at seminars within the laboratory and at external meetings. To contribute to laboratory wide discussions on developments within the laboratory, particularly in the use of new techniques or new equipment. To disseminate research findings in the form of publications, presentations, and reports and thus support the QQR mission of the division. To train students, Postdoctoral Scientist and others and line management of group members where appropriate. To contribute to the MRC's engagement with the public and in the translation of research findings into improvements in health care. Key responsibilities: The key responsibility is to develop, deploy, maintain and improve production scale machine learning systems for large volume electron microscopy and connectomics data. The post holder will ensure that machine learning models can be run reliably, reproducibly and efficiently across large datasets, GPU/CPU clusters, storage systems and associated databases. You will be expected to act independently in solving complex technical problems across the machine learning deployment stack, including data loading, model execution, distributed processing, storage I/O, containerised environments, cluster scheduling, monitoring and debugging. To design and maintain robust infrastructure for training, inference, validation and reprocessing of machine learning models on multi terabyte to petabyte scale datasets. To translate prototype machine learning models and research code into reliable, version controlled and docu mented production workflows that can be used by researchers and collaborators. To build and maintain monitoring tools for pipeline performance, model output quality, job failures, data integrity, throughput, resource usage and storage bottlenecks. To work closely with scientists, software engineers, research support staff and external collaborators to ensure the smooth running of large scale ML and data processing workflows. To contribute to the management and optimisation of compute and data infrastructure, including GPU servers, CPU clusters, large scale storage systems, databases and cloud or HPC environments. To introduce and apply best practices in software engineering, MLOps, testing, documentation, reproducibility, version control and deployment. To train and support group members in the use of deployed machine learning systems, data processing pipe lines and infrastructure tools. To ensure all software, data processing and infrastructure work is conducted in accordance with good practice and in compliance with local policies, legal requirements and data protection standards. To contribute to collaborations within the division, across the LMB and with external partners by providing ex pertise in ML deployment, scalable data processing and production infrastructure. Line management responsibilities may be undertaken where appropriate, including supporting staff development and performance management in accordance with MRC policies and procedures. Working relationships: You will report to Dr. Albert Cardona and will liaise with other Research Support staff, Postdoctoral Scientists and students, not only in your group, but also across the LMB and with external collaborators. Person Specification Academic qualifications and experience: PhD in computer science, engineering, data science, computational biology, physics, mathematics or a related quantitative discipline, or an MSc / MPhil plus significant equivalent professional experience in machine learning engineering, infrastructure engineering or large scale data processing. Significant experience deploying machine learning models in production or production like environments, ideally involving computer vision, image analysis or large scale scientific data. The candidate should have strong hands on experience with Python, modern machine learning frameworks such as PyTorch, and robust software engineering practices including testing, documentation, version control and code review. Extensive experience working with large scale datasets, ideally multi terabyte to petabyte scale data, including data storage, data access patterns, chunked or distributed data formats, database backed metadata systems and debugging performance bottlenecks. Experience with image data, electron microscopy, bioimage informat ics or connectomics would be highly desirable. The candidate should have experience building, deploying and maintaining ML pipelines for training, inference, validation and reprocessing across GPU and CPU infrastructure (e.g., HPC environments). They should be comfortable debugging failures across the full ML stack, including model execution, data loading, memory us age, storage I/O, distributed jobs, containers, cluster scheduling, dependency management and databases. Experience with Linux systems administration, containers such as Docker or Singularity/Apptainer, workflow orchestration tools, SLURM or Kubernetes, and cloud platforms such as AWS or similar vendors would be de sirable. Experience with additional programming languages such as Rust, C++, Java, JavaScript, Bash or SQL would be beneficial, particularly where this has been applied to building reliable, scalable and maintainable infrastruc ture or data processing systems. Technical skills and expertise: Significant experience of and proven expertise in cutting edge research relevant to the project, and knowledge of the field. The ideal candidate will have a strong background in machine learning engineering and bioimage informatics, combining expertise in large scale data processing and software engineering with specific experience deploying and maintaining machine learning systems in production or production like environments. Particularly useful would be comprehensive experience in and knowledge of: Deploying machine learning models for large scale batch inference, ideally for computer vision, image analysis or scientific imaging data. Developing and maintaining robust data processing and ML pipelines for multi terabyte to petabyte scale datasets. Debugging production issues across data loading, model execution, storage I/O, memory usage, distributed jobs, containers, dependency management, databases and cluster scheduling. Working with GPU and CPU compute clusters, including job scheduling, resource monitoring, failure recovery and performance optimisation. Optimising data access patterns for large image volumes, including chunked or distributed formats such as Zarr, N5, HDF5 or similar. Knowledge of Drosophila larval neuroanatomy and the use of NBLAST to compare and identify neurons by morphology. CATMAID, Fiji, BiaPy and other open source software platforms for handling neuroscience imagery. Managing large datasets using system administrator skills in Linux and BSD servers, and knowledge of databases such as Postgresql. The use of the Python programming language with evidence in the form of online version control repositories of software written by the applicant. Implementing algorithms into version controlled software packages for use by others. Cloud computing with AWS or similar vendors. Programming languages including python, bash, R, Java . click apply for full job details

City Football Group is seeking a UX/UI Designer in Manchester to craft fan-facing digital experiences. You will translate product goals into clear, development-ready UX and UI solutions that are accessible, responsive, and visually engaging. Collaborating with product managers, developers, researchers and other designers, you will create user flows, prototypes and detailed design documentation to move ideas from concept to delivery.

About the team Elsevier's mission is to help researchers, clinicians, and life sciences professionals advance discovery and improve health outcomes through trusted content, data, and analytics. This role sits within Elsevier's Platform Data Science organization, a centralized AI and data science group responsible for advancing intelligent discovery, retrieval, and generative AI capabilities across Elsevier products and platforms. The organization develops foundational AI technologies that power experiences such as LeapSpace, Elsevier's AI powered research assistant, as well as Elsevier's broader Search & AI Platform. The Platform Data Science organization works at the intersection of: Search and retrieval systems, Generative AI and LLM applications, AI evaluation and experimentation, Semantic enrichment and knowledge systems, Scalable AI platforms and intelligent workflows. About the role We are looking for a Data Scientist III to help design, build, and evaluate advanced AI capabilities supporting LeapSpace and Elsevier's Search & AI Platform initiatives. This role focuses on applied AI development, retrieval systems, and AI evaluation, helping bring cutting edge AI technologies into production experiences used by researchers worldwide. You will work closely with senior data scientists, engineers, product managers, and domain experts across retrieval systems, generative AI, reasoning workflows, evaluation frameworks, and experimentation, contributing to the next generation of AI powered scientific discovery tools. This role is ideal for someone with hands on experience in applied AI, NLP, information retrieval, and LLM based applications, who enjoys building innovative solutions and translating emerging AI techniques into impactful product capabilities. Key responsibilities Develop and improve LLM powered research workflows, including: Scientific question answering, Literature summarization, Semantic exploration and discovery, Research insight generation, Citation aware retrieval and reasoning workflows. Build and iterate on agentic and multi step AI workflows using frameworks such as LangGraph and related orchestration tools. Apply modern techniques in NLP, Generative AI, Embeddings and semantic representations, Retrieval augmented generation (RAG), AI reasoning and workflow orchestration. Evaluate emerging AI models, tools, and frameworks and contribute recommendations for experimentation and adoption. Contribute to prompt engineering, grounding strategies, context management, and hallucination mitigation efforts. Support integration of scientific metadata, ontologies, and knowledge assets into AI powered workflows. Design, develop, and optimize search and retrieval pipelines, including lexical, vector, and hybrid retrieval approaches. Contribute to the development and enhancement of RAG systems that integrate LLMs with trusted scientific and biomedical content. Experiment with embeddings, re ranking models, chunking strategies, and retrieval orchestration techniques to improve relevance and answer quality. Support development of semantic search, ranking, and knowledge discovery capabilities. Collaborate with engineering teams to deploy and scale AI powered solutions. Develop and apply evaluation frameworks for search and AI systems, including IR metrics (e.g., NDCG, recall, precision) and LLM and RAG evaluation metrics (e.g., grounding, faithfulness, hallucination detection). Build and maintain evaluation datasets, benchmark suites, and annotation workflows. Conduct offline experiments and contribute to online experimentation and A/B testing. Analyze experimental results and communicate findings to stakeholders. Contribute to responsible AI practices focused on quality, reliability, and trust. Partner with product managers, engineers, UX researchers, and domain experts to deliver AI powered capabilities. Communicate technical findings and recommendations clearly to both technical and non technical audiences. Contribute to knowledge sharing and adoption of best practices across the Platform Data Science organization. Support delivery of projects from research and experimentation through production deployment. Required qualifications Master's or PhD in Computer Science, Data Science, Machine Learning, NLP, Information Retrieval, or a related field. Experience in data science, machine learning, applied NLP, information retrieval, generative AI, or a related field. Hands on experience with LLM based applications and generative AI systems, RAG pipelines and retrieval systems, Search and retrieval architectures (lexical, vector, hybrid). Evaluation methodologies for IR and generative AI systems. Strong programming skills in Python. Experience with modern AI/ML frameworks and tooling (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack). Experience working with Databricks or similar distributed data and machine learning platforms. Understanding of experimentation methodologies, evaluation frameworks, and statistical analysis. Proficiency with data visualization and analytical tooling (e.g., Tableau, Power BI, matplotlib, seaborn). Demonstrated ability to independently execute technical projects and contribute to cross functional initiatives. Preferred qualifications Experience building AI assistants, agentic workflows, or conversational AI applications. Experience working on search, ranking, recommendation, or retrieval systems. Familiarity with scientific, biomedical, or scholarly datasets. Experience with knowledge graphs, ontologies, or semantic enrichment systems. Exposure to production ML systems and MLOps practices. Academic or industry research experience in NLP, information retrieval, search, or generative AI. Experience working in content rich, knowledge intensive, or highly regulated domains. Working for you - we know that your well being and happiness are key to a long and successful career. Benefits we are delighted to offer Comprehensive Pension Plan. Home, office, or commuting allowance. Generous vacation entitlement and option for sabbatical leave. Maternity, Paternity, Adoption and Family Care leave. Flexible working hours. Personal Choice budget. Internal communities and networks. Various employee discounts. Recruitment introduction reward. Employee Assistance Program (global). About the business As a global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We 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-. 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. Elsevier is a global leader in advanced information and decision support for science and healthcare. We believe that by working together with the communities we serve, we can shape human progress to go further, happen faster, and benefit all. We support continuous discovery and uphold the highest standards of content integrity, reliability, and reproducibility so the communities we serve can advance their field of science, healthcare or innovation with confidence. By combining high quality content with powerful analytics, we transform complexity into clarity and deliver mission critical insights that help professionals make better decisions when it matters most. We deliver insights that help research institutions, governments, and funders achieve their goals. We help researchers discover and share knowledge, collaborate, and accelerate innovation. We help librarians provide verified, quality information to universities. We help innovators turn knowledge into new products. We help health professionals improve patient care and educators train the next generation of doctors and nurses. Connecting quality content and innovative technologies, we make progress go further and happen faster. And by championing inclusion and sustainability, we ensure progress benefits all. With 9,500 employees, over 2,300 technologists in 5 major tech hubs, and more than 60 locations across the globe, we are committed to supporting the scientific and healthcare communities around the world. We offer a diverse range of opportunities across technology, commercial, business, and early career jobs. If you are looking for a career that inspires progress in science . click apply for full job details

Amazon is seeking a Senior User Experience Designer for the Alexa for Shopping design team to invent features for a personalised AI assistant across surfaces including the Shopping app, website, and Echo Show. You will translate business and user needs into intuitive, elegant design solutions, collaborating with researchers, PMs, engineers, data scientists and operations from concept to launches.

Job ID: Amazon UK Services Ltd. The Alexa for Shopping design team is seeking a Senior User Experience Designer to help us invent features for Amazon's personalised, agentic AI assistant. Our new experience brings together the best of Rufus and Alexa+ to deliver a more personal, helpful shopping experience across a wide range of surfaces and devices-from the Amazon Shopping app and website to Echo Show, where customers can now browse and shop the full Amazon store using voice, touch, or both. To thrive in this role, you must be a pioneer with an inventor's spirit-someone with a strong command of visual and interaction design who is passionate about technology and innovation. You can work at pace, handle several projects, and quickly interpret and balance business and customer requirements to translate them into intuitive, elegant design solutions. You know how to present ideas professionally through a strategic and creative lens. You must be comfortable working with project briefs and managing stakeholder inputs, functional requirements, and timelines. You have a solid understanding of user experience design fundamentals-including information architecture, interaction patterns, and visual hierarchy-combined with a deep understanding of how to collaborate with conversation designers, researchers, product management, engineering, data science, and operational teams as you go from early-stage product concepts to launches of new features and experiences. Key job responsibilities Develop high-level customer experience strategy for both the near and long term Design interaction flows, wireframes, prototypes, and high-fidelity visual interfaces for experiences, partnering with Conversation Designers on accompanying conversational components Work with Science and Engineering teams to define UI patterns for LLM-generated and agentic content, ensuring designs are scalable and technically feasible Present design work to the user experience team, product team, engineering team, leaders, and partner organisations for review and feedback Collaborate with other design team members on experiences, design systems, frameworks, processes, and best practices Work with our UX research and data analysis teams to assess and optimise new and existing features Navigate ambiguity-including shifts in direction and rapidly evolving customer expectations-and bring clarity to design decision-making through your work Basic Qualifications Speak, write, and read fluently in English Bachelor's or higher degree in Interaction Design, Human-Computer Interaction (HCI), User Experience Design, Graphic Design, Visual Communication or a related field, or equivalent professional experience demonstrated through a strong portfolio A portfolio that demonstrates excellence in visual and interaction design at the senior level; please include a link to it on your CV 8+ years of experience in user experience design or interaction design Preferred Qualifications Experience designing for LLM-enabled or AI-driven customer experiences Proficiency in industry-standard design tools (e.g., Figma) and AI-assisted prototyping methods Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Overview The Conversational Shopping team is looking for an AI Language Engineer to drive innovation and scalable solutions as it delivers a delightful AI-assisted shopping experience. This role supports Alexa for Shopping, helping customers find and discover the best products through recommendations, comparisons, product Q&A, and more. The role is cross-functional and requires collaboration across global product, design, science, and engineering teams. The candidate should be passionate about the intersection of language and technology and able to develop automated, scalable solutions in the Large Language Model (LLM) space. Responsibilities include applying expertise in LLMs, coding, and natural language to address challenges in model evaluation, automation, and context engineering for agentic systems. The role contributes to an evaluation-driven product development strategy and works with Product Managers, Applied Scientists, Software Engineers, UX Researchers, and Editors to drive quality, speed, and consistency in AI-driven shopping experiences across mobile and web apps. Key responsibilities and activities focus on authoring, optimizing, and managing system prompts for customer-facing AI-driven experiences, defining requirements for internal tooling via prototypes, evaluating model performance, and producing actionable insights to inform product decisions. The role also involves creating and standardizing editorial workflows to meet quality standards, and supporting onboarding and upskilling of Editors and AI Tutors. Team context: The CMX-Lang-Tech team is a technical sub-team of the AI Shopping Content team responsible for AI response quality in evaluating and prompting AI models. Key Responsibilities Develop LLM-as-a-judge systems to support human-in-the-loop evaluations Automate operations and perform data analysis using scripting languages (e.g., Python) Author, optimize, and manage system prompts for customer-facing LLM systems Integrate API calls into Retrieval Augmented Generation (RAG) systems Evaluate model performance and annotation quality to produce reports for stakeholders Produce, process, and manipulate different types of language data Contribute to defining platform requirements for internal tooling by developing prototypes Raise the quality bar on editorial workflows and SOPs through standardization, documentation, and periodic audits Support processes to onboard and upskill Editors and AI Tutors Design, implement, and refine control mechanisms, metrics, and methodologies to ensure editorial and annotation quality Collaborate with editors, applied scientists, engineers, and product managers to deliver an optimal customer experience by defining metrics, guidelines, and workflows Deliver across parallel workstreams, balancing timelines, impact, and stakeholder requirements About the Team The CMX-Lang-Tech team is a technical sub-team of the AI Shopping Content team, responsible for AI response quality in evaluation and prompting of AI models. Basic Qualifications Experience with Unix tools Strong analytical skills, attention to detail, and effective communication abilities Experience in a fast-paced, dynamic organization Experience prioritizing and handling multiple assignments while meeting deadlines Master's Degree in Applied Linguistics, Computational Linguistics, Natural Language Processing (NLP), or related field Experience with Large Language Models, NLP, or Machine Learning Experience with Python libraries for data analysis (e.g., pandas, scikit-learn) Familiarity with AI coding assistants Preferred Qualifications PhD in Applied Linguistics, Computational Linguistics, NLP, or related field Experience with SQL and Git Experience building RAG or agentic systems Experience conducting quantitative analysis Experience building data pipelines Experience with AWS services (Bedrock, S3, EC2, etc.) Knowledge of user experience concepts and methods Familiarity with online retail (e-commerce) Amazon is an equal opportunities employer. We value diversity and hire based on experience and skills. We are committed to protecting privacy and the security of data. Please review our privacy practices to understand how we collect, use, and transfer personal data of candidates. We do not discriminate on protected veteran status, disability, or other legally protected characteristics. If you require a workplace accommodation during the application and hiring process, please notify us for support.