Elsevier

. Software Engineer III (Java / Spring) About the team: Our team is dedicated to unlocking the rich knowledge embedded within Elsevier's content through our semantic data platform; this empowers researchers, clinicians, and innovators worldwide to gain new insights, make informed decisions, and accelerate progress across research, healthcare, and life sciences. We lead the ongoing transformation of Elsevier's vast, unstructured information into richly interconnected knowledge graphs that capture the full depth and nuance of scientific meaning.Within this space, the team focuses on document transformation services, including document structuring and entity recognition, helping turn complex content into reliable, reusable data products and services. About the role: We are looking for a Software Engineer III to help design, build, and improve services that support document transformation and semantic enrichment workflows. They will work on systems that process content at scale, expose reliable APIs, and support event-driven integrations across the platform.This role is well-suited to someone who enjoys building robust backend services, collaborating closely with peers, and improving engineering quality through testing, pairing, and iterative delivery. They will work with technologies including Java, Spring Boot, AWS, Kafka, Python, APIs, microservices, and event-driven architecture in a Scrum-based environment Key responsibilities: Design, build, and maintain backend services that support document transformation, structuring, and entity recognition workflows. Develop and enhance microservices and APIs using Java, Spring Boot, and Python. Contribute to event-driven and distributed systems using Kafka and AWS-based infrastructure. Write maintainable, well-tested code using practices such as TDD and pair programming. Collaborate with engineers, product partners, and other stakeholders in Scrum ceremonies to deliver incremental value. Support the reliability, performance, and operability of services in production environments. Participate in technical design discussions and contribute to implementation decisions within the team and across architecture groups. Improve engineering effectiveness by adopting modern development practices, including AI assisted coding where appropriate. Share knowledge through collaboration, code reviews, and day to day technical support. Requirements: Experience building and maintaining backend software using Java and Python. Practical experience with Spring Boot, APIs, and microservice-based systems. Experience working with AWS services in a cloud native environment. Familiarity with Kafka or similar messaging technologies in event-driven architectures. Working knowledge of Python for service development, tooling, or data workflows. Experience with test-driven development, code reviews, and collaborative engineering practices such as pair programming. Ability to work effectively in a hybrid team environment and contribute within Scrum or similar agile frameworks. Ability to translate technical requirements into clear, maintainable solutions. Strong communication and collaboration skills with a focus on inclusive, team oriented delivery. Nice to Have Experience with document processing, transformation pipelines, or content structuring systems. Experience with entity recognition, metadata extraction, or semantic enrichment workflows. Familiarity with systems that process large-scale or complex content datasets. AI software engineering - specifications-driven development. Experience improving developer workflows through automation, tooling, or AI-supported development practices. Exposure to content platform domains.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 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. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive Pension Plan. 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 - 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 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 or please contact 1-. 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 . Please read our .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: .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

Elsevier in Oxford is seeking a Software Engineer III to design and develop backend services using Java, Spring Boot, and Python in a collaborative agile environment. This role involves enhancing document transformation services and APIs while working with cloud technologies like AWS and Kafka. The ideal candidate will have strong skills in backend development, APIs, and modern software practices. The company offers a range of benefits including flexible working hours, wellness initiatives, and a comprehensive pension plan.

Software Engineering Manager, AI PlatformApplylocations: London: NLD Amsterdam (Radarweg): UK-Oxford (Nielsen House): Netherlandstime type: Full timeposted on: Posted Todayjob requisition id: R113409 Job Title: Software Engineering Manager, AI Platform How have you helped a team deliver complex technical work while balancing quality, speed, and reliability? How do you support engineers in their growth and create an inclusive, collaborative team culture? Location : Hybrid role, UK or Amsterdam based About the Team The AI Platform team builds shared AI capabilities used across multiple products. Our goal is to help teams safely and effectively integrate generative AI without needing to build core systems from scratch.We create reusable services, tools, and platform solutions that support scalability, security, and reliability, while enabling teams to move efficiently. About the Role We are looking for a Software Engineering Manager to support engineering teams within the AI Platform. You will help guide delivery, support team growth, and ensure alignment across a complex and evolving environment.This role combines people leadership, delivery coordination, and technical oversight. While not focused on day-to-day coding, you will bring technical judgment, contribute to design discussions, and offer support when needed. Key Responsibilities: Team Leadership & Delivery Support one or more engineering teams with clear goals and priorities Partner with technical leaders to deliver reliable and high-quality outcomes Monitor progress and help address risks, blockers, and dependenciesPlanning & Alignment Collaborate with product, engineering, and stakeholders to set priorities Balance immediate delivery needs with long-term sustainability Encourage alignment across teams and shared platform goalsTechnical Oversight & Strategy Partner with Technical Leads and senior stakeholders to shape engineering strategy and platform direction Support strong technical standards through design and code reviews Help teams balance speed, quality, reliability and delivery Provide hands-on support during critical periods when neededOperational Excellence Promote practices in testing, delivery pipelines, and system reliability Track and improve key indicators such as delivery, stability, and maintainability Drive continuous improvements in engineering processes, developer experience, and platform reliability.Communication & Collaboration Encourage open and clear communication across the wider team Share progress, challenges, and trade-offs transparently Participate in planning, roadmap discussions, and cross-team coordination Influence decisions beyond the immediate team through collaboration and engineering leadership.People Management & Development Support inclusive hiring and onboarding practices Support career development - Provide coaching, feedback, and growth opportunities Foster a collaborative, respectful, and supportive team environment focused on continuous improvement Partner with technical leaders to maintain strong engineering practices Experience working in Agile or Kanban teams, collaborating across functions Skills & Experience: Deep experience in software engineering and team leadership or mentorship within engineering Ability to manage and work in evolving technical environments and manage priorities Knowledge of backend systems, distributed architectures, or cloud platforms Experience collaborating across teams and with technical stakeholders Ability to review code and provide constructive feedback (Python is a plus) Strong communication and organisational skills Nice to Have Experience with AI/LLM tools or modern backend frameworks (e.g., LangChain, LangGraph) and backend service frameworks (e.g., FastAPI) Familiarity with cloud-native technologies (e.g., Kubernetes) Experience supporting platforms used by multiple, downstream consumer teams Experience managing teams working on internal developer tools or shared platforms If you are interested in the role, please apply with a cover letter and CV. Work in a way that works for you We promote a healthy work/life balance across the organisation. With an average length of service of 9 years, we are confident that 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 in a hybrid way from both the office and at home Working flexible hours - flexing the times you work in the day Working with us We are an equal opportunity employer with a commitment to help you succeed. Here, you will find an inclusive, agile, collaborative, innovative and fun environment, where everyone has a part to play. Regardless of the team you join, we promote a diverse environment with co-workers who are passionate about what they do, and how they do it. Working for you At Elsevier, we know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: 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 Long service awards Save As You Earn share option scheme Travel Season ticket loan Maternity, paternity and shared parental leave Access to emergency care for both the elderly and children RE CARES 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 via Perks at Work About Us 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-. 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.

Elsevier is seeking a Software Engineering Manager for its AI Platform in a hybrid role, based in the UK or Amsterdam. In this role, you will support engineering teams, guide delivery, and ensure alignment in a complex environment. Major responsibilities include team leadership, technical oversight, and planning. The ideal candidate will have deep experience in software engineering and strong leadership skills. Moreover, you will help maintain high technical standards while fostering an inclusive and collaborative team culture. Our benefits include generous leave, medical benefits, and more.

Elsevier is looking for a Senior Data Engineer to join their Search and AI Platform team in Greater London. You will design and maintain scalable data pipelines and services that support large-scale analytics and research solutions. The ideal candidate should have strong experience in Python, Java, and technologies like Spark and Airflow, as well as an understanding of cloud platforms such as AWS. The role promotes flexible working hours and a healthy work/life balance.

Elsevier is seeking a Java Software Engineer in Oxford to design and deploy applications for scientific knowledge sharing. You'll collaborate with cross-functional teams to identify requirements and enhance our delivery process. Successful candidates should demonstrate proficiency in Java and JavaScript/TypeScript, along with experience in Agile practices. We offer a healthy work-life balance with numerous benefits including flexible hours and comprehensive pension plans.

Elsevier in London is seeking a Senior Data Engineer to build and maintain scalable, high-performance data-driven applications. You will design and develop data pipelines, ensuring reliability and effectiveness in delivering insights. Strong skills in Python and knowledge of cloud platforms like AWS are essential. Join a team that values innovation, collaboration, and well-being, with benefits including flexible working hours, comprehensive pension plans, and generous leave options.

About the Role Design and build machine learning, NLP, and generative AI solutions that support scientific discovery, knowledge extraction, decision support, and intelligent content understanding. You will work with large-scale scientific content and data, applying the right techniques to solve complex problems and deliver reliable, production-ready systems. Responsibilities Design and build machine learning, NLP, and generative AI systems for scientific discovery, knowledge extraction, decision support, and intelligent content understanding. Work with large-scale, complex, and heterogeneous data, including scientific publications, research datasets, knowledge graphs, ontologies, taxonomies, citations, metadata, and content from every scientific discipline. Apply the right technique to each problem, using approaches such as classification, regression, clustering, ranking, feature engineering, deep learning, embeddings, LLMs, retrieval, and generative AI. Develop capabilities for semantic search, information retrieval, entity extraction, content classification, recommendation, ranking, summarization, question answering, and evidence grounded generation. Build, evaluate, fine tune, prompt, and integrate models into robust production systems, while continuously improving quality, relevance, reliability, and user value. Write clean, tested, production quality Python and contribute reusable data science components, packages, and scalable data pipelines for preprocessing, inference, experimentation, monitoring, and continuous improvement. Support deployment, monitoring, model maintenance, drift detection, automated retraining, and ongoing optimization of data science systems. Collaborate with engineering, product, UX, analytics, research, and domain experts, and communicate technical concepts, model behavior, insights, trade offs, and recommendations clearly to technical and non technical audiences. Requirements Experience in data science, machine learning, artificial intelligence, NLP, statistics, applied mathematics, computer science, or a related quantitative area. Experience working with frontier LLMs such as OpenAI's GPTs, Anthropic's Claude, and Google's Gemini, including fine tuning LLMs and/or SLMs. Strong Python skills and a habit of writing clean, maintainable, well tested code. A solid grasp of machine learning fundamentals, including supervised and unsupervised learning, feature engineering, model evaluation, model selection, and performance measurement. Experience working with structured, semi structured, or unstructured data, especially large scale text or content datasets. Familiarity with common data science and machine learning tools such as Pandas, NumPy, SciPy, Scikit learn, PyTorch, TensorFlow, or Matplotlib. The ability to translate complex and ambiguous requirements into practical, measurable, data driven solutions, with strong analytical thinking, problem solving skills, and attention to quality. Clear communication skills, a collaborative approach to working with engineering, product, and business stakeholders, and a genuine interest in building production ready systems that deliver real user value. Benefits Flexible working hours that allow you to work when you are most productive. Wellness initiatives, shared parental leave, study assistance, and sabbaticals are also available. 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.

Elsevier, located in the Greater London area, is seeking a Senior Data Analyst to lead analytics for search and retrieval systems. The ideal candidate will perform a leading role in analyzing system performance, define evaluation metrics, and improve ranking quality. This role requires significant experience in data analysis and proficiency in SQL and Python, along with a Master's or PhD in a related field. Responsibilities include designing A/B tests, developing dashboards, and collaborating across teams to communicate insights effectively. This is an opportunity to influence decision-making using large-scale data platforms.

About the role We are looking for a Senior Data Analyst to lead analytics and evaluation efforts for search and retrieval systems. You will own key analytical workflows, define measurement strategies, and generate insights that directly improve ranking quality, relevance, and user experience. This role is ideal for someone with deep experience in search analytics, experimentation, and data visualization, who can operate with high autonomy and influence decision making across cross functional teams. Key Responsibilities Search Evaluation & Analytics: Perform a leading role in analysis of search and retrieval system performance, including ranking quality and relevance. Help define and standardize search evaluation metrics (e.g., NDCG, MAP, recall, precision, CTR). Analyze query behavior, user interaction signals, and content performance to identify optimization opportunities. Conduct deep dive analyses on ranking performance, query intent, and retrieval gaps. Support evaluation of downstream applications (including GenAI powered features) where they depend on retrieval quality. Experimentation & Reporting: Help design and lead A/B testing and experimentation frameworks for search and ranking improvements. Partner with product and data science to define success metrics and experiment strategies. Ensure statistical rigor in experiment design, analysis, and interpretation. Build reusable experimentation templates and scalable analysis workflows. Data Visualization & Communication: Own and evolve dashboards and reporting systems tracking search performance and user engagement. Develop clear, actionable data storytelling to communicate insights to technical and business stakeholders. Enable self service analytics for partners through well designed reporting tools. Data Management & Tooling: Work with large scale datasets using modern platforms (e.g., Databricks, Spark, SQL based systems). Ensure high standards for data quality, metric consistency, and instrumentation reliability. Collaborate with engineering to improve logging, tracking, and observability of search systems. Cross functional Impact & Mentorship: Act as a key analytics partner to search data scientists, engineers, and product teams. Help elevate the team's understanding of retrieval performance and measurement frameworks. Required Qualifications Master's or PhD in Data Analytics, Statistics, Computer Science, or a related field (or equivalent practical experience). Significant experience in data analysis, business intelligence, or analytics roles. Proficiency in SQL and Python for large scale data analysis. Advanced experience with data visualization and BI tools (e.g., Tableau, Power BI, Looker, matplotlib, seaborn). Experience working with Databricks or similar large scale data platforms. Excellent understanding of experimentation design, A/B testing, and statistical analysis. Experience defining and analyzing search/retrieval metrics (e.g., NDCG, recall, precision, ranking metrics). Proven ability to translate complex data into actionable insights and influence decisions. Preferred Qualifications PhD in Data Analytics, Statistics, Computer Science, or a related field (or equivalent practical experience). Experience working on search, ranking, or recommendation systems. Familiarity with information retrieval concepts (e.g., indexing, ranking, query understanding). Exposure to clickstream data, user behavior analytics, and event tracking systems. Experience supporting evaluation of ML based ranking or retrieval systems. Familiarity with RAG systems or GenAI applications. 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.

Elsevier is looking for a skilled DevOps Engineer to join our team in Greater London. You will be part of a global infrastructure group responsible for enhancing our Life Sciences portfolio, ensuring platform reliability and performance. Your role includes collaborating within our DevOps squad, designing cloud environments, and implementing best practices to optimize product delivery. We offer generous benefits, including a holiday allowance and health perks.

Elsevier is seeking a motivated Software Engineer III to join their team in Oxford. This role involves developing and maintaining high-performance backend systems using Python in an Agile environment. You will work closely with product and engineering partners to deliver scalable and reliable software solutions while engaging in code reviews and maintaining engineering standards. The position offers a comprehensive benefits package and promotes a healthy work/life balance.

Elsevier is seeking a Principal AI Engineer in the United Kingdom to lead technical execution for AI innovations within cross-functional teams. This role requires over 10 years of experience in software engineering and a strong grasp of AI systems, ensuring solutions are built to comply with architectural and data governance principles. The successful candidate will take charge of designing reusable agentic AI patterns and mentor other engineers while driving innovative projects that enhance quality and reduce costs.

Elsevier is looking for a Consulting/Principal Software Engineer in Greater London. In this role, you will act as the technical lead for a cross-functional squad, focusing on designing and delivering reliable, secure software solutions. You will collaborate closely with various teams and be responsible for implementing complex features, mentoring team members, and ensuring quality through Agile practices. The position offers flexible working hours and a range of benefits, including a comprehensive pension plan.

. About the team: The SciVal Development Team is a cross-functional group comprising Frontend, Backend, and Quality Engineers who work closely together. The team collaborates closely with UX and Product to design, build, and deliver high-quality features efficiently and reliably.SciVal is a data-driven product that provides academic and research metrics to customers, enabling insight, analysis, and informed decision-making. The team focuses on building scalable, reliable solutions while continuously improving usability, performance, and data accuracy. About the role: Acts as the technical lead and facilitator for a cross-functional squad. In addition to hands-on design, coding, and/or test automation, this role sets technical direction, shapes delivery plans, drives quality strategy, and unblocks the team through facilitation-not line management. Partners closely with Product, Architecture, QE, SRE/Platform, and adjacent squads to deliver reliable, secure, and observable software. Key responsibilities: Serve as the first line of technical escalation for the squad's services/components. Facilitate team ceremonies (refinement, technical grooming, sprint planning, design reviews) with a focus on flow and outcomes. Translate product objectives into sound technical designs and testable acceptance criteria; decompose epics into implementable stories. Design and implement complex features; complete complex bug fixes and performance improvements. Define and uphold the Definition of Ready/Done, including code quality, automated test coverage, security checks, and observability. Establish/maintain CI/CD pipelines, quality gates, and sensible branching/release strategies. Drive a pragmatic quality strategy: test pyramid balance, contract tests, data management, environments, and non-functional testing. Partner with TIO on SLOs, alerting, runbooks, incident response, and post-incident learning Mentor through pairing, code/test reviews, and architecture discussions (no performance management duties) Document designs and decisions (e.g., ADRs), and keep technical docs and runbooks current. Coordinate dependencies and integration with other squads and external partners; surface risks with clear options/trade-offs. Track and improve key delivery/quality indicators (lead time, change fail rate, MTTR, escaped defects, performance budgets) Requirements: Around 7+ years of experience in Software Engineering, Quality Engineering, or related roles, contributing to complex systems in production. Experience leading through influence, such as technical leadership, feature ownership, or community/guild participation across design, delivery, and operations. A degree in Computer Science, Engineering, or a related field, or equivalent practical experience gained through work, training, or self directed learning. Demonstrated depth in at least one technical domain, such as distributed systems, data platforms, or high scale web or mobile applications. Comfortable collaborating with cross functional teams, external partners, and vendors in inclusive and respectful environments. Strong understanding of Agile and Lean practices, including backlog refinement, breaking work into incremental deliverables, and risk aware planning. Experience defining and applying test strategies, including test pyramid principles, shift left practices, CI/CD quality checks, and release readiness. Proficiency in one or more programming languages or stacks, such as Java/JVM, JavaScript/TypeScript, C#/.NET, Python, C/C++, or SQL. Experience working in Linux or Windows environments. Familiarity with relational and non relational databases, including data modelling and performance tuning. Experience or familiarity with CI/CD pipelines, containerised environments, cloud fundamentals, and observability tools (logs, metrics, traces). Working knowledge of secure coding practices, performance analysis, reliability concepts (such as SLOs and error budgets), and participation in incident response and learning reviews. Development focused experience in API and service design, domain modelling, concurrency, resilience patterns, refactoring, and code quality, or quality focused experience in test automation, UI/API testing, contract testing, and performance testing using widely adopted tools.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 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 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. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the 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 - 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 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 or please contact 1-. 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 . Please read our .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: . Consulting/Principal Software Engineer 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

. Data Architect - Submissions Technology Elsevier Technology Platform Architecture About the Role We are looking for a Data Architect to help design and evolve the data architecture that powers Elsevier's next-generation publishing and peer-review platforms .You will play a key role in transforming our submissions ecosystem into a modern, data-centric platform that supports new submission experiences, AI-enabled workflows , and enterprise-wide data reuse.Working closely with engineering teams, product leaders, and platform architects, you will define the core data architecture for the submissions domain , including the manuscript-centric data model, domain boundaries, APIs, and event-driven data flows.This is an opportunity to shape the data foundations of one of the world's largest scholarly publishing platforms . About the Team The Submissions Technology group develops and operates systems that manage the complete lifecycle of scholarly manuscripts-from submission and peer review to editorial decision-making and integration with downstream publishing and production systems.Our platforms support thousands of journals and enable collaboration between authors, reviewers, and editors across the global research community . Responsibilities: Define and evolve the data architecture for the Submissions platform Design and maintain the core manuscript and submission domain data models Establish domain-driven data boundaries across platform capabilities Define scalable data access patterns and integration strategies Design API-based and event-driven data flows Guide engineering teams in implementing robust, scalable data solutions Support the evolution of legacy systems into modern, platform-based architectures Help establish data governance, ownership, and lineage practices Enable a data-centric platform strategy that supports analytics, AI, and enterprise reuse Requirements Strong experience in data architecture and domain modelling Experience applying Domain-Driven Design (DDD) principles Expertise in conceptual, logical, and physical data modelling Experience designing multi-tenant data architectures Strong SQL and relational database design skills Experience with PostgreSQL, MySQL, or cloud-native databases Data Platforms & Integration Experience with data platforms such as Snowflake or data lakes Designing ETL / ELT pipelines Experience with event-driven architectures API design experience (REST, GraphQL, OpenAPI) Modern Architecture Microservices architecture Event streaming and messaging platforms Distributed systems design Collaboration & Leadership Experience working closely with software engineering teams Ability to guide technical implementation and reduce architectural complexity Experience modernizing legacy systems into scalable architectures Understanding of data governance, lineage, and data ownership practices Work in a way that works for you We promote a healthy work/life balance across the organisation. With an average length of service of 9 years, we are confident that 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 long-term goals. Working remotely from home or in our office in a flexible hybrid style 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 Working with us We are an equal opportunity employer with a commitment to help you succeed. Here, you will find an inclusive, agile, collaborative, innovative and fun environment, where everyone has a part to play. Regardless of the team you join, we promote a diverse environment with co-workers who are passionate about what they do, and how they do it. Working for you At Elsevier, we know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days Access to learning platforms and encouragement to book up to 10 days focused learning/development time per year Health screening, eye care vouchers and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Long service awards Save As You Earn share option scheme Travel Season ticket loan Maternity, paternity and shared parental leave Access to emergency care for both the elderly and children RELX Cares 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 via Perks at Work About the Business: Elsevier is a global information analytics company specializing in science and health. For over 140 years we've partnered with the scientific and medical communities to advance knowledge, improve outcomes, and foster innovation. Our content and technology help researchers, educators, and healthcare professionals in over 170 countries make critical decisions with confidence. Elsevier is part of RELX, a top 10 FTSE 100 company and global provider of information-based analytics and decision tools We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click 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 or please contact 1-. 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 . Please read our .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: .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

A leading global information analytics company in Greater London is seeking a Data Architect to design and evolve the data architecture for its publishing and peer-review platforms. You will define the core data architecture for submissions, work with engineering teams for implementation, and establish robust data solutions. The role supports a hybrid working style, ensuring work/life balance while promoting a diverse and inclusive environment. Experience in data architecture, SQL, and event-driven architectures is essential.

A global information and analytics leader in Greater London is seeking a Senior Software Engineer II to focus on generative AI and platform architecture. In this role, you will lead architectural designs, develop AI services using Python, and collaborate across cross-functional teams. The ideal candidate has over 5 years of software engineering experience, proven leadership in platform architecture, and a strong background in Python and Kubernetes. The position promotes flexible working hours and offers a variety of benefits.

. About the team: Our team is dedicated to unlocking the rich knowledge embedded within Elsevier's content through our rich data platform; this empowers researchers, clinicians, and innovators worldwide to gain new insights, make informed decisions, and accelerate progress across research, healthcare, and life sciences.As part of this mission, the AI Engineering team is focused on building reusable generative AI capabilities that can be embedded across products and platforms. We create scalable, secure, and production-ready AI services - enabling downstream teams to integrate cutting- edge GenAI features. About the role: We are seeking a Senior Software Engineer II with a passion for generative AI and platform architecture. In this role, you will drive architectural decisions and set engineering standards, and implement robust systems to deliver reusable AI services and components, collaborating closely with cross-functional stakeholders to solve meaningful challenges. You will also contribute to mentoring other engineers and helping evolve our engineering practices. Key responsibilities: Lead architectural design and ensure technical consistency. Design, develop, and maintain generative AI services and reusable components using Python. Define and promote best practices in engineering, including scalability, observability, testing, and CI/CD. Contribute to system designs spanning multiple services and modules, aligning with architectural best practices. Collaborate with product, platform, and research teams to translate AI prototypes into production-ready capabilities. Work within a Kubernetes (EKS) environment to deploy scalable, containerized applications. Lead the resolution of complex technical challenges across distributed systems. Mentor less-senior developers on engineering principles, GenAI patterns, and platform development. Participate in code reviews, architecture sessions, and cross-team initiatives to ensure quality and maintainability. Stay informed of the latest developments in generative AI and advocate for responsible integration into product ecosystems. Requirements: 5+ years of software engineering experience. Proven experience leading technical architecture for large-scale platforms or services. Solid understanding of software development methodologies and data modelling principles. Deep expertise in Python (or failing that, Java). Strong proficiency in backend development and familiarity with modern AI/LLM tools and frameworks (e.g., LangChain, LangGraph). Strong experience with Kubernetes (EKS) and cloud-native architectures. Proven record of building scalable backend systems and APIs. Experience mentoring engineers and contributing to architectural decisions. Ability to work collaboratively across functions in an Agile or Kanban environment. Nice to have: Experience operationalizing LLMs or building an internal AI platform. Familiarity with observability practices (metrics, logging, alerts). Exposure to knowledge graphs or semantic search systems.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 and shared parental leave, we will help you meet your immediate responsibilities and your long-term goals. 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. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive Pension Plan 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 - 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 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 or please contact 1-. 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 . Please read our .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: . Senior Software Engineer II - Data Engineering 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, innovation and health, and allows you to grow every day, find your team at Elsevier.Elsevier is part of RELX Group.Let's shape progress together. Join

About the Role Would you like to be part of an engineering team that develops and maintains our cloud and platform services? Are you motivated by seeing how your work makes a difference to product delivery and customer outcomes? As a DevOps Engineer, you will be an integral member of our team and part of our global infrastructure group. You will be responsible for building and supporting products across our Life Sciences portfolio and improving the developer experience to enable product teams to deliver quality software rapidly. Responsibilities Working within our DevOps squad to ensure the reliability, scalability, performance and security of our platform and products. Identifying improvements to common tasks and self-service modules to allow teams to move at pace across the SDLC. Designing, building, and maintaining cost-effective cloud environments for our organization. Collaborating with central platform teams to support the onboarding of products to our platforms. Seeking out and implementing efficiencies to erase toil to allow more focus on project work and lasting improvements. Acting as a senior escalation point for internal and external customers to provide support for production issues. Requirements Experience working in global cross-functional teams to solve problems at scale with innovative solutions. Experience with DevOps and SRE (Site Reliability Engineer) best-practices. Advanced skills in AWS, Linux, Puppet, Jenkins, Docker, Kubernetes, Terraform and GitHub. Experience designing highly available and secure distributed systems that scale using AWS, Linux, and Kubernetes. Experience in standardizing and improving the deployment process using common platforms and CI/CD pipelines. Solid understanding of how tools like New Relic or Grafana can help observe product performance and identify root causes. Be part of an on-call rotation to provide support for our platform and customers. Enjoy creating efficiency through automation and "Infrastructure as Code" using modern languages like Python or Go. Benefits Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers and private medical benefits. Wellbeing programs and life assurance. Access to a competitive contributory pension scheme. Equal Opportunity & EEO Statement 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.