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/Machine Learning Engineer jobs
RELX

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

Salary$118k – $220k
LocationRaleigh, NC
Work modehybrid
Typefull-time
SenioritySenior
Company size10,000+ people
PostedJun 8, 2026 · 4mo ago
Verified live11h ago
At a glanceSummarised by Seekless from the posting.
Must have11
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)
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)
Nice to have6
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
Eligibility1
Work authorization in the US
Skills
Python
Rust
Go
Scala
LLM
RAG
LangChain
LangGraph
AutoGen
Google ADK
Solr
OpenSearch
AWS
S3
DynamoDB
Kafka
SQS
Redis
REST
GraphQL
Docker
Kubernetes
ChatGPT/OpenAI
Claude
Gemini
Terraform
CloudFormation
Jenkins
Spark
Hadoop
Dgraph
Neo4j
Neptune
Benefits
Health insurance
Annual incentive bonus
Are you looking to develop your Machine Learning Engineer career?
Do you enjoy coaching others to achieve high standards?
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.
#AIFluent
U.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.
Benefits
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.
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