Do you have exceptional data capabilities?
Would you like to join a Global leader in Legal Analytics and Technology?
Role Overview
The Machine Learning Engineer leads the design, development, deployment, and operation of large-scale, production-grade AI/ML systems
They drive the end-to-end lifecycle from research prototypes to highly reliable, scalable production systems define and standardize MLOps best practices, including training, evaluation, deployment, and monitoring pipelines and architect and evolve shared platforms and infrastructure for model training, evaluation, and low-latency inference at scale This role requires strong expertise in software engineering, distributed systems, and cloud-native architectures with deep experience in LLM/Generative AI systems (RAG, agents), retrieval/search systems, vector/graph databases, and modern MLOps platforms
Responsibilities
- Lead cross-functional collaboration with product, data science, and engineering teams to define and influence technical strategy and requirements
- Own and review system-level architecture and detailed technical designs for scalable AI/ML platforms
- Diagnoses and resolve critical, system-wide issues across ML pipelines, data infrastructure, and distributed production environments
- Translate ambiguous product requirements into scalable architectures, including LLM-based, RAG, and agent-driven systems
- Establish and enforce engineering best practices, code quality standards, and development processes across teams
- Lead resolution of high-impact technical challenges and provide technical mentorship to engineers
- Lead the design and productionization of LLM-based and Generative AI systems (e.g., RAG pipelines, multi-agent systems) at scale
- Design and optimize advanced agent capabilities (tool use, planning, reasoning, memory), ensuring robustness, observability, and reliability in production
- Drive integration of AI/ML services into enterprise ecosystems via scalable APIs and microservices architectures
- Collaborate with cross-functional teams to deliver high-impact AI-powered products and platform capabilities
- Define and maintain architectural documentation, APIs, and platform standards
- Establish evaluation frameworks, define KPIs, and continuously improve model and agent performance in production environments
Requirements
- Bachelor’s degree in computer science or related field (advanced degree preferred) or equivalent experience
- 10+ years of experience in software engineering and/or machine learning engineering, including leading large-scale systems
- Proven track record of driving adoption of new technologies and setting technical direction
- Deep experience with complex data models, large-scale datasets, and data-intensive systems
- Strong communication skills with ability to influence technical and non-technical stakeholders
- Strong system design and problem-solving skills with ability to navigate ambiguity
- Extensive experience designing, deploying, and operating LLM / Generative AI systems in production at scale
- Expertise in API design, system integration, and microservices-based architectures
- Experience leading and mentoring engineers in agile, cross-functional environments
- Strong foundation in SQL, data modeling, ML algorithms, and rigorous evaluation methodologies
- Extensive experience with large-scale distributed systems and data processing pipelines
- Hands-on expertise with cloud platforms (AWS, GCP, Azure), infrastructure-as-code, and mature CI/CD systems
- Expert-level programming skills in Python and proficiency in additional languages (e.g., Go, Rust)
Preferred / Highly Advantageous
- Deep expertise in NLP, including modern and classical techniques
- Hands-on experience with agent frameworks (OpenAI SDK, Anthropic SDK, Google ADK), RAG architectures, embeddings, and vector databases in production settings
- Experience designing and scaling CI/CD systems (Jenkins, GitHub Actions, Azure DevOps)
- Experience with Spark / Databricks and large-scale data platform architecture
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 for you:
"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:
• Medical and Life Insurance: Coverage for Medical and life risk.
• Long-Service Award: Recognition for loyalty and dedication.
• Marriage and New Baby Gifts: Celebratory tokens for special life events.
• Festivals and Birthday Gifts: Spreading joy on occasions that matter.
• Annual Medical Check-up: Prioritizing employee well-being through regular health check-ups.
• Flexible Benefits via CIIC Platform: Personalized benefits accessible through a user-friendly platform.
• Paid Time Off: Annual Leave, Flex Family Care Leave, Birthday Leave, Marriage Leave, Compassionate Leave, Medical and Hospitalization Leave, Examination Leave Gazetted Public Holiday
• Family Care leave (Maternity/Paternity Leave and Adoption Leave)"
About the Business
LexisNexis 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.
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 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.
Please read our Candidate Privacy Policy.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights.
Skills Required
- Bachelor's degree in computer science or related field or equivalent experience
- Advanced degree (preferred)
- 10+ years of experience in software engineering and/or machine learning engineering
- Proven track record driving adoption of new technologies and setting technical direction
- Extensive experience designing, deploying, and operating LLM / Generative AI systems in production at scale
- Deep experience with complex data models, large-scale datasets, and data-intensive systems
- Extensive experience with large-scale distributed systems and data processing pipelines
- Expert-level programming skills in Python
- Proficiency in additional languages (e.g., Go, Rust)
- Strong foundation in SQL, data modeling, ML algorithms, and evaluation methodologies
- Expertise in API design, system integration, and microservices-based architectures
- Hands-on expertise with cloud platforms (AWS, GCP, Azure), infrastructure-as-code, and mature CI/CD systems
- Experience leading and mentoring engineers in agile, cross-functional environments
- Experience with retrieval/search systems, vector/graph databases, embeddings, and production RAG architectures
- Hands-on experience with agent frameworks and designing agent capabilities (tool use, planning, memory)
- Deep expertise in NLP (modern and classical techniques)
- Experience designing and scaling CI/CD systems (Jenkins, GitHub Actions, Azure DevOps)
- Experience with Spark / Databricks and large-scale data platform architecture
LexisNexis Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about LexisNexis and has not been reviewed or approved by LexisNexis.
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Healthcare Strength — Healthcare options are often described as comprehensive, spanning medical, dental, and vision coverage alongside life and disability protection. Wellbeing programming such as wellness initiatives and fitness support is also positioned as part of the overall package.
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Retirement Support — Retirement benefits are repeatedly framed as a meaningful component of total rewards through 401(k) matching and access to stock purchase opportunities. Performance bonuses and charitable matching are also included as financial-support features within the broader rewards mix.
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Leave & Time Off Breadth — Time-off offerings are portrayed as broad, including PTO, paid holidays, sick leave, and paid volunteer time. Flexible work arrangements, including remote options and flexible hours, further strengthen the overall rewards experience.
LexisNexis Insights
What We Do
LexisNexis Legal & Professional is a leading global provider of legal, regulatory and business information and analytics that help customers increase productivity, improve decision-making and outcomes, and advance the rule of law around the world. We help lawyers win cases, manage their work more efficiently, serve their clients better and grow their practices. We assist corporations in better understanding their markets, monitoring their brands and competition, and in mitigating business risk. We collaborate with universities to educate students, and we support nation-building with governments and courts by making laws accessible and strengthening legal infrastructures. We partner with leading global associations and customers to collect evidence against war criminals and provide tools to combat human trafficking. LexisNexis Legal & Professional, which serves customers in more than 130 countries with 10,000 employees worldwide, is part of RELX Group, a global provider of information and analytics for professional and business customers across industries.
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