**Machine Learning Engineer - Reshaping the Labour Market**
We are seeking an experienced Machine Learning Engineer to join our team and contribute to the development of cutting-edge AI solutions. As a member of our team, you will work closely with data scientists, engineers, and cloud developers to design, implement, and productionise ML-based services using Sagemaker.
The successful candidate will have a strong background in machine learning engineering, with experience in deploying and scaling LLMs in production. They will also have excellent communication skills, both written and verbal, and be able to explain complex machine learning concepts in a clear and concise manner.
Key Responsibilities:
* Implement and productionise ML-based services using Sagemaker
* Work on NLP and LLM projects, applying expertise to contribute to and build on existing solutions
* Utilize IaC and CI/CD best practices to increase efficiency in deployment and management of resources
* Collaborate with Data Scientists team to design and implement ML workflows
* Participate in code reviews, contributing to culture of continuous improvement
Requirements:
* Strong team player, willing to learn from and contribute to experienced team
* High engagement, proactivity, and sense of ownership
* 5+ years of experience in Machine Learning Engineering, Data Engineering, or related field
* Proficiency in production-level Python (Clean, SOLID)
* Industry experience in Amazon Sagemaker deployment
* Experience in deploying and scaling LLMs in production
* Experience with IaC (Terraform), CI/CD (Atlassian Bamboo) and test automation best practices
* Excellent communication skills in English, both written and verbal
* Bachelor's degree in Computer Science or related field. Master's degree is preferred.
* Experience in Natural Language Processing (NLP) projects is a plus
* Experience with PyTorch or transformers is a plus
* Experience with managed Vector DBs is a plus
Benefits:
* 30 days of holidays + 2 extra days for Christmas and New Year's Eve
* Hybrid working model
* Company pension scheme
* 24/7 Employee Assistance Programme
* Life Assurance Cover
* Volunteering days
* Job bike
* Discounted parking or job ticket
* In-house gym
* In-house barista
* You can bring your dog to the office
Our Commitment:
We believe that diversity and inclusion at The Stepstone Group are critical to our success as a global company, so we want to recruit, develop, and keep the best talent. We encourage applications from everyone, regardless of background, gender identity, sexual orientation, disability status, ethnicity, belief, age, family or parental status, and any other characteristic.