{"schemaVersion":"jobsearcher.job.v1","id":"9b76e8e5dcd972cd003c6a1d","url":"https://jobsearcher.com/jobs/9b76e8e5dcd972cd003c6a1d","canonicalUrl":"https://jobsearcher.com/jobs/9b76e8e5dcd972cd003c6a1d","title":"Software Engineering Lead","description":"REMOTE\nAbout the Team\n\nLexisNexis is a leading global provider of legal, regulatory and business information, and analytics that help customers increase productivity and improve decision-making and outcomes. We help lawyers win cases, manage their work more efficiently, serve their clients better, and grow their practices. We feel privileged to work in a business that has a higher purpose - advancing the rule of law around the world - which is vital for building peace and prosperity in society.\nAbout the Role\nAs a Team Lead you will serve as a hands-on technical leader and people manager for a team of Data Scientists / Applied AI Engineers focused on building, deploying, and scaling customer-facing and internal AI-powered features. In addition to contributing directly to solution design, experimentation, and code delivery, this role provides direction on execution plans, delivery schedules, technical approaches, and operational excellence. The position has direct reports.\nRequirements\nStrong experience building and shipping AI/ML-powered product features in production environments, with an emphasis on implementation, iteration, and measurable outcomes over research prototypes.\nAdvanced knowledge of machine learning development lifecycles, including problem framing, data preparation, model development, evaluation, deployment, monitoring, and continuous improvement.\nExperience applying techniques such as predictive modeling, classification, ranking, recommendation systems, NLP, LLM-powered workflows, or other statistical/ML methods to real business problems.\nStrong proficiency in Python and common data science / machine learning libraries and frameworks.\nExperience partnering closely with software engineering teams to productionize models and integrate AI capabilities into scalable applications and services.\nStrong knowledge of software development best practices, including version control, testing, code review, CI/CD, and agile delivery methodologies.\nExperience designing experiments, defining success metrics, and using offline and online evaluation methods to assess feature performance.\nStrong understanding of data modeling, data quality, feature engineering, and working with structured and unstructured data.\nProficiency with SQL and data manipulation techniques, including performance optimization.\nExperience with modern data and ML tooling, including cloud platforms, model serving, orchestration, monitoring, and MLOps practices.\nAbility to guide build-vs-buy decisions and effectively leverage third-party AI platforms, foundation models, or vendor capabilities where appropriate.\nStrong problem-solving skills, including the ability to translate ambiguous business needs into practical technical solutions.\nAbility to write and review detailed technical designs, model documentation, and implementation plans for complex systems.\nStrong skills in setting, communicating, implementing, and achieving business objectives through direct management of others.\nResponsibilities\nLead a team of Data Scientists / Applied AI Engineers responsible for delivering production AI capabilities that improve products, workflows, and customer outcomes.\nServe as the initial point of escalation for technical and delivery issues within the team’s area of responsibility.\nContribute directly to hands-on technical work, including solution design, coding, experimentation, model development, feature implementation, and production troubleshooting.\nPartner with product, engineering, design, and business stakeholders to define requirements, prioritize opportunities, and translate business needs into deployable AI solutions.\nDrive delivery of AI/ML features from concept through launch, ensuring solutions are robust, scalable, maintainable, and aligned to business goals.\nEstablish and uphold best practices for experimentation, model evaluation, deployment, monitoring, and ongoing optimization of AI systems in production.\nWork closely with engineering teams to operationalize models and AI services, including APIs, batch pipelines, real-time inference, and human-in-the-loop workflows where applicable.\nHelp the team focus on pragmatic execution by balancing innovation with speed, reliability, cost, explainability, and operational constraints.\nDefine and monitor success metrics for shipped features, and use feedback, telemetry, and experimentation results to drive continuous improvement.\nWrite and review technical specifications, implementation plans, and design documents for moderately to highly complex AI-enabled systems.\nResolve complex technical issues involving data, modeling, integration, deployment, and production performance.\nMentor and develop team members in both technical execution and business impact, ensuring they are equipped to build and ship high-value AI features.\nKeep abreast of developments in applied AI, machine learning, LLMs, and adjacent technologies, and identify practical opportunities to apply them.\nCarry out management responsibilities in accordance with organizational policies and applicable laws, including interviewing, hiring, training, performance management, coaching, recognition, and addressing employee concerns.\nWork in a way that works for you\n\nWe 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.\nWorking 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\n\nWorking for you\n\nWe 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:\nHealth Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits\nRetirement Benefits: 401(k) with match and an Employee Share Purchase Plan\nWellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs\nShort-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity\nFamily Benefits, including bonding and family care leaves, adoption and surrogacy benefits\nHealth Savings, Health Care, Dependent Care and Commuter Spending Accounts\nUp to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice\n\nAbout the Business\n\nLexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.\n\nU.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates.\n\nThis job is eligible for an annual incentive bonus.\n\nWe 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.\nWe are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.\nCriminals 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 .\nPlease read our Candidate Privacy Policy .\nWe 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.\nUSA Job Seekers:\nEEO Know Your Rights .","company":"RELX","rawCompany":"relx","city":"Raleigh","state":"NC","isRemote":false,"isActive":false,"createdAt":"2026-07-18T17:07:28.293Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineering Lead","description":"REMOTE\nAbout the Team\n\nLexisNexis is a leading global provider of legal, regulatory and business information, and analytics that help customers increase productivity and improve decision-making and outcomes. We help lawyers win cases, manage their work more efficiently, serve their clients better, and grow their practices. We feel privileged to work in a business that has a higher purpose - advancing the rule of law around the world - which is vital for building peace and prosperity in society.\nAbout the Role\nAs a Team Lead you will serve as a hands-on technical leader and people manager for a team of Data Scientists / Applied AI Engineers focused on building, deploying, and scaling customer-facing and internal AI-powered features. In addition to contributing directly to solution design, experimentation, and code delivery, this role provides direction on execution plans, delivery schedules, technical approaches, and operational excellence. The position has direct reports.\nRequirements\nStrong experience building and shipping AI/ML-powered product features in production environments, with an emphasis on implementation, iteration, and measurable outcomes over research prototypes.\nAdvanced knowledge of machine learning development lifecycles, including problem framing, data preparation, model development, evaluation, deployment, monitoring, and continuous improvement.\nExperience applying techniques such as predictive modeling, classification, ranking, recommendation systems, NLP, LLM-powered workflows, or other statistical/ML methods to real business problems.\nStrong proficiency in Python and common data science / machine learning libraries and frameworks.\nExperience partnering closely with software engineering teams to productionize models and integrate AI capabilities into scalable applications and services.\nStrong knowledge of software development best practices, including version control, testing, code review, CI/CD, and agile delivery methodologies.\nExperience designing experiments, defining success metrics, and using offline and online evaluation methods to assess feature performance.\nStrong understanding of data modeling, data quality, feature engineering, and working with structured and unstructured data.\nProficiency with SQL and data manipulation techniques, including performance optimization.\nExperience with modern data and ML tooling, including cloud platforms, model serving, orchestration, monitoring, and MLOps practices.\nAbility to guide build-vs-buy decisions and effectively leverage third-party AI platforms, foundation models, or vendor capabilities where appropriate.\nStrong problem-solving skills, including the ability to translate ambiguous business needs into practical technical solutions.\nAbility to write and review detailed technical designs, model documentation, and implementation plans for complex systems.\nStrong skills in setting, communicating, implementing, and achieving business objectives through direct management of others.\nResponsibilities\nLead a team of Data Scientists / Applied AI Engineers responsible for delivering production AI capabilities that improve products, workflows, and customer outcomes.\nServe as the initial point of escalation for technical and delivery issues within the team’s area of responsibility.\nContribute directly to hands-on technical work, including solution design, coding, experimentation, model development, feature implementation, and production troubleshooting.\nPartner with product, engineering, design, and business stakeholders to define requirements, prioritize opportunities, and translate business needs into deployable AI solutions.\nDrive delivery of AI/ML features from concept through launch, ensuring solutions are robust, scalable, maintainable, and aligned to business goals.\nEstablish and uphold best practices for experimentation, model evaluation, deployment, monitoring, and ongoing optimization of AI systems in production.\nWork closely with engineering teams to operationalize models and AI services, including APIs, batch pipelines, real-time inference, and human-in-the-loop workflows where applicable.\nHelp the team focus on pragmatic execution by balancing innovation with speed, reliability, cost, explainability, and operational constraints.\nDefine and monitor success metrics for shipped features, and use feedback, telemetry, and experimentation results to drive continuous improvement.\nWrite and review technical specifications, implementation plans, and design documents for moderately to highly complex AI-enabled systems.\nResolve complex technical issues involving data, modeling, integration, deployment, and production performance.\nMentor and develop team members in both technical execution and business impact, ensuring they are equipped to build and ship high-value AI features.\nKeep abreast of developments in applied AI, machine learning, LLMs, and adjacent technologies, and identify practical opportunities to apply them.\nCarry out management responsibilities in accordance with organizational policies and applicable laws, including interviewing, hiring, training, performance management, coaching, recognition, and addressing employee concerns.\nWork in a way that works for you\n\nWe 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.\nWorking 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\n\nWorking for you\n\nWe 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:\nHealth Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits\nRetirement Benefits: 401(k) with match and an Employee Share Purchase Plan\nWellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs\nShort-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity\nFamily Benefits, including bonding and family care leaves, adoption and surrogacy benefits\nHealth Savings, Health Care, Dependent Care and Commuter Spending Accounts\nUp to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice\n\nAbout the Business\n\nLexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.\n\nU.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates.\n\nThis job is eligible for an annual incentive bonus.\n\nWe 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.\nWe are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.\nCriminals 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 .\nPlease read our Candidate Privacy Policy .\nWe 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.\nUSA Job Seekers:\nEEO Know Your Rights .","datePosted":"2026-07-18T17:07:28.293Z","dateModified":"2026-07-18T17:07:28.293Z","hiringOrganization":{"@type":"Organization","name":"RELX","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Raleigh","addressRegion":"NC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9b76e8e5dcd972cd003c6a1d"},"url":"https://jobsearcher.com/jobs/9b76e8e5dcd972cd003c6a1d"}}