SW5 Consulting Ltd
Senior Machine Learning & MLOps Engineer
We're looking for a seasoned engineer to lead the development of
scalable, production-grade generative AI systems . This role is perfect for someone passionate about turning cutting-edge research into robust, high-performance infrastructure that delivers real-world impact.
You'll be at the heart of an
AI transformation initiative , building solutions that bridge the gap between experimentation and production.
The Role Design and deploy
production-ready generative AI services and infrastructure Build
large-scale distributed systems -from data ingestion layers to orchestration frameworks Develop and maintain
MLOps platforms
with automated pipelines for deployment, monitoring, and governance Collaborate with cross-functional teams to integrate ML models into production environments Create and maintain
documentation, tooling, and scalable ML workflows Contribute to the development of an
enterprise-wide AI platform What You Bring
Bachelor's degree in Computer Science, Engineering, or related field 5+ years of experience in
machine learning, data engineering, or related domains Hands-on experience with
NLP/LLM projects Proven track record of
deploying models into live production environments Strong background in
MLOps workflows, data orchestration, and model lifecycle Proficiency with
containerization, cloud infrastructure, CI/CD, and distributed systems Familiarity with
relational and non-relational databases
and big data frameworks Why Join?
Competitive compensation:
up to $185k + bonus + benefits Flexible location:
Needs to be able to commute to NY or NJ office Opportunity to work on
enterprise-scale AI initiatives
with a highly skilled team of ML scientists, data engineers, and infrastructure experts
If you're ready to
operationalize AI at scale
and make a tangible impact, we'd love to hear from you.
We're looking for a seasoned engineer to lead the development of
scalable, production-grade generative AI systems . This role is perfect for someone passionate about turning cutting-edge research into robust, high-performance infrastructure that delivers real-world impact.
You'll be at the heart of an
AI transformation initiative , building solutions that bridge the gap between experimentation and production.
The Role Design and deploy
production-ready generative AI services and infrastructure Build
large-scale distributed systems -from data ingestion layers to orchestration frameworks Develop and maintain
MLOps platforms
with automated pipelines for deployment, monitoring, and governance Collaborate with cross-functional teams to integrate ML models into production environments Create and maintain
documentation, tooling, and scalable ML workflows Contribute to the development of an
enterprise-wide AI platform What You Bring
Bachelor's degree in Computer Science, Engineering, or related field 5+ years of experience in
machine learning, data engineering, or related domains Hands-on experience with
NLP/LLM projects Proven track record of
deploying models into live production environments Strong background in
MLOps workflows, data orchestration, and model lifecycle Proficiency with
containerization, cloud infrastructure, CI/CD, and distributed systems Familiarity with
relational and non-relational databases
and big data frameworks Why Join?
Competitive compensation:
up to $185k + bonus + benefits Flexible location:
Needs to be able to commute to NY or NJ office Opportunity to work on
enterprise-scale AI initiatives
with a highly skilled team of ML scientists, data engineers, and infrastructure experts
If you're ready to
operationalize AI at scale
and make a tangible impact, we'd love to hear from you.