Our mission is to find the perfect match between job seekers and companies worldwide. With over 20 brands across 30+ countries, we strive for fair and unbiased hiring.
We're a community that cares about your life outside work as much as how you feel when you're with us. Here are some of our benefits:
* Flexible Holidays: 30 days + 2 extra days for Christmas and New Year's Eve
* Hybrid Working Model
* Company Pension Scheme
* Employee Assistance Programme
* Life Assurance Cover
* Volunteering Days
* Job Bike
* Discounted Parking or Job Ticket
* In-House Gym
* In-House Barista
* Bring Your Dog to Work
We believe in equal opportunities and diversity at all levels. 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.
Job Description
You will be implementing and productionising ML-based services using Sagemaker. You will work on NLP and LLM projects, applying your expertise to contribute to and build on our existing solutions. You will also utilise IaC and CI/CD best practices to increase the efficiency in deployment and management of resources. You will collaborate with our Data Scientists team to design and implement ML workflows. You will participate in code reviews, contributing to our culture of continuous improvement. You will communicate effectively with team members and stakeholders, explaining complex machine learning concepts in a clear and concise manner.
Required Skills and Qualifications
We are looking for a strong team player who is willing to learn from and contribute to an experienced team. The ideal candidate has high engagement, proactivity, and sense of ownership. They have 5+ years of experience in Machine Learning Engineering, Data Engineering, or a related field. They are proficient in production-level Python and have industry experience in Amazon Sagemaker deployment. They have experience in deploying and scaling LLMs in production and experience with IaC, CI/CD, and test automation best practices.
Benefits
We offer a range of benefits to support your career and well-being, including flexible holidays, a hybrid working model, company pension scheme, employee assistance programme, life assurance cover, volunteering days, job bike, discounted parking or job ticket, in-house gym, in-house barista, and the opportunity to bring your dog to work.
Equal Opportunities
We believe in equal opportunities and diversity at all levels. 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.