Job Title: Experienced Machine Learning Professional
About the Job:
We are seeking a seasoned Machine Learning expert to join our team. As a key member of our technical staff, you will be responsible for designing and implementing ML-based solutions using Sagemaker.
Your Key Responsibilities:
* Design and deploy production-level ML services using Amazon Sagemaker.
* Collaborate with our Data Scientists team to design and implement ML workflows.
* Develop and maintain efficient CI/CD pipelines using IaC and DevOps best practices.
* Participate in code reviews to ensure high-quality codebase.
* Communicate effectively with stakeholders and team members to explain complex ML concepts.
Required Skills and Qualifications:
To be successful in this role, you will need:
* 5+ years of experience in Machine Learning Engineering or a related field.
* Proficiency in production-level Python programming.
* Industry experience in deploying and scaling LLMs in production.
* Familiarity 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 a related field. Master's degree is preferred.
* Experience in Natural Language Processing (NLP) projects is a plus.
Benefits:
We offer a range of benefits to support your well-being and career growth, including:
* 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.
* And you can bring your dog to the office.
Our Commitment:
We are committed to equal opportunities and diversity. We believe that our success as a global company relies on attracting, developing, and retaining the best talent from diverse backgrounds. 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.