Machine Learning Engineer AWS

Machine Learning Engineer (AWS) London onsite to £120k
Are 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 AWS
You have a strong understanding of how to scale systems and ensure systems can cope with high volume
You can analyse large and complex data sets
You have a good knowledge of NLP and Recommendation modelling and productionising
You have a technical degree such as Computer Science (2:1 and above)
You are happy working in an early-stage start-up environment
You have strong communication and collaboration skills
You are a self-starter who can work well autonomously and as part of a team
What's in it for you:
Salary to £120k
Equity
Impactful role with excellent career growth
Apply nowto 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.