Machine Learning Engineer
- Published on
About the Role
As a Machine Learning Engineer, you will be at the forefront of our innovative projects, responsible for designing, building, and deploying machine learning models and systems in production. You will collaborate with data scientists and software engineers to ensure that ML models are production-ready, focusing on building robust ML pipelines and infrastructure on AWS.
Key Responsibilities
- Design, develop, and deploy machine learning models into production
- Build scalable ML pipelines and infrastructure on AWS
- Implement and optimize LLM-based solutions
- Collaborate with data scientists and software engineers to productionize ML models
- Ensure that ML systems meet performance, reliability, and scalability requirements
- Contribute to the continuous improvement of ML practices and infrastructure
About the Candidate
We are looking for candidates with:
- 2-3 years of experience in machine learning engineering or related roles
- Strong software engineering fundamentals and experience with the Software Development Life Cycle (SDLC)
- Hands-on experience with AWS cloud services, particularly ML-related offerings
- Experience building and deploying production-level ML systems
- Practical experience with LLMs and their applications
- Proficiency in Python and ML frameworks such as TensorFlow and PyTorch
- Knowledge of containerization, CI/CD, and MLOps practices
About the Company
InterQuest Group, based in the London Area, UK, is dedicated to providing cutting-edge technology solutions. Our team is passionate about leveraging technology and innovation to create products that deliver real value to customers.
Company Culture and Benefits
At InterQuest Group, we believe in fostering a collaborative environment where team members can thrive. We offer competitive salaries ranging from £50,000 to £70,000, flexible working arrangements including hybrid options, and opportunities for professional growth. Our commitment to a positive workplace culture ensures that everyone contributes to our mission of excellence.