Machine Learning Engineer AWS

Machine Learning Engineer (AWS) London onsite to 120kAre you a Machine Learning Engineer with a software engineering background and experience of deploying to AWS?You could be progressing your career in an impactful, hands-on role at a growing social media tech scale that has huge backing and ambitious growth plans.As a Machine Learning Engineer, you will play a vital role in shaping and building the company's modern, and collaborative social network, collaborating closely with software engineers with Agile Squads. You will be responsible for developing, implementing, and optimising models that drive core features and services within the app and will work with large and complex data sets to derive insights that inform product development and business strategies.There's a focus on scalability and solving complex problems within a fast paced, collaborative and diverse team environment.Location / WFH:You'll join colleagues in a vibrant area of Central London on a fulltime basis (Monday to Friday).About you:You are a Machine Learning Engineer with a strong knowledge of software engineering and experience of deploying to AWSYou have a strong understanding of how to scale systems and ensure systems can cope with high volumeYou can analyse large and complex data setsYou have a good knowledge of NLP and Recommendation modelling and productionisingYou have a technical degree such as Computer Science (2:1 and above)You are happy working in an early-stage start-up environmentYou have strong communication and collaboration skillsYou are a self-starter who can work well autonomously and as part of a teamWhat's in it for you:Salary to 120kEquityImpactful role with excellent career growthApply now to find out more about this Machine Learning Engineer opportunity.At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.