Senior Machine Learning Engineer III ***Raleigh, NC***

Relx Plc; Raleigh (NC); Hybrid; USD 118,300 - 219,800; Full time

Benefits offered by this job

Annual incentive bonus

Country specific benefits

Job summary

A global analytics provider seeks a Consultant-level Machine Learning Engineer in Raleigh, NC to lead AI system implementation for legal products. This full-time position focuses on scalable ML/LLM systems, collaborating with Data Scientists, and optimizing performance and reliability. Candidates should possess strong experience with production ML systems and LLM application development. The role offers a hybrid work model with competitive salary ranging from $118,300 to $219,800, plus annual incentive bonuses.

Qualifications

• Strong experience implementing and scaling production ML/LLM systems.
• Deep experience with LLM application development including RAG and prompt orchestration.
• Strong experience designing and implementing agentic systems.

Responsibilities

• Architect and implement scalable ML/LLM systems in production.
• Develop and maintain APIs, microservices, and model serving infrastructure.
• Collaborate with Data Scientists to productionize models.

Skills

Experience implementing and scaling production ML/LLM systems

LLM application development

Designing agentic systems

Hybrid search systems

Distributed systems knowledge

Proficiency in Python

REST/GraphQL API development

Containerization and orchestration

Education

Bachelor’s degree in Computer Science or related field

Tools

AWS (S3, DynamoDB)

Kafka

Docker

Kubernetes

Job description

.***This is a full-time position based in Raleigh, NC.******(Hybrid - 3 days in office)*****About the Role**We are seeking a **Consultant-level Machine Learning Engineer** to lead the implementation and scaling of AI systems for legal products. This role focuses on *how to build and scale*—owning system architecture, infrastructure, and productionization of ML/LLM solutions.You will partner with Data Scientists to turn validated models and prototypes into reliable, high-performance, customer-facing systems.**Key Responsibilities*** Architect and implement scalable ML/LLM systems in production.* Build and deploy LLM applications, including RAG pipelines and agentic systems.* Implement hybrid search systems (semantic + lexical) using embeddings and search platforms.* Develop and maintain APIs, microservices, and model serving infrastructure.* Build data pipelines and streaming systems for large-scale data processing.* Define and develop reusable frameworks, libraries, and infrastructure for AI/ML across teams.* Optimize systems for latency, scalability, reliability, and cost efficiency.* Establish best practices for deployment, monitoring, observability, and CI/CD.* Collaborate with Data Scientists to productionize models and integrate into products.* Provide technical leadership in system design and engineering standards.**Required Qualifications*** Bachelor’s degree in Computer Science, Engineering, or a related field.* Strong **experience implementing and scaling production ML/LLM systems.*** Deep experience with **LLM** application development, including **RAG** and **prompt orchestration**.* Strong **experience designing and implementing agentic systems using agent frameworks** (e.g., LangChain, LangGraph, AutoGen, Google ADK), including orchestration of multi-step workflows in production environments.* Strong experience with hybrid search (semantic + lexical), embeddings, and search platforms (e.g., Solr, OpenSearch).* Expertise in distributed systems and cloud-native development, including AWS (S3, DynamoDB).* Experience with streaming and messaging systems (e.g., Kafka, SQS) and caching (e.g., Redis).* Proficiency in Python and experience with systems languages (e.g., Rust, Go, Scala).* Experience building scalable APIs (REST/GraphQL).* Experience with containerization and orchestration (Docker, Kubernetes).* Strong software engineering fundamentals (system design, testing, CI/CD).**Preferred Qualifications*** Experience with LLM platforms (e.g., ChatGPT/OpenAI, Claude, Gemini, LangChain, Google ADK).* Experience with DevOps and infrastructure as code (e.g., Terraform, CloudFormation, Jenkins).* Experience with big data technologies (e.g., Spark, Hadoop).* Familiarity with graph databases (e.g., Dgraph, Neo4j, Neptune).* Experience building high-availability, low-latency systems.* Experience in legal or regulatory domains.**Key Competencies*** Strong system architecture and scalability mindset.* Ownership of implementation, performance, and reliability.* Ability to translate data science solutions into production systems.* Cross-functional collaboration with DS, product, and platform teams.* Excellent debugging, optimization, and operational skills.* Clear communication of technical designs and trade-offs.#AIFluentU.S. National Base Pay Range: $118,300 - $219,800. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.**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 1-855-833-5120.**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** **.**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:***.RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.