Lead ML Engineer(remote)

We are an influencer match-making application built by an award-winning influence marketing company based in London.

Our challenge

While influence marketing is the most authentic, trustworthy way for consumers to discover products and services aligned with their interests, 98% of global ad spend still goes to ineffectively and non-consensually buying people’s attention. Solving this problem will bring forward a future where marketing is predicated on trust and speaks to our deepest aspirations, a world where the wealth of influence is owned by individuals instead of trillion-dollar tech corporations.

What we can offer you:

Holiday: 25 days plus bank holidays + your birthday off

Equipment: Your own Framework laptop, screen and a phone bill allowance (plus all the tech tools you need)

Flexibility: Enjoy a flexible work-from-home approach

Health: A £40 monthly mental and physical feel-good initiative to support your well-being

 Lead ML Engineer 1

Learning: Books on the house! Want to read and learn more? We got it covered Relocation is possible Job Title

Lead Machine Learning Engineer Job Responsibilities and Skills Core Responsibilities

Lead Data Engineering team to bring ML models for personal values, cognitive style, engagement, emotionality, and many others to production.

Architect and implement Data/ML platform Ensure the quality of ML pipeline results Required skills/experience

Fluency with Machine Learning and Statistics principles

Solid experience in any statically typed language (Java, C++, Go, Scala) Working knowledge of Python and Docker

Capability for abstract thinking and complex problem decomposition Familiarity with version control systems and Linux/Unix environments Knowledge of RDBMS (PostgreSQL, MySQL, etc)

Comprehensive understanding of automated testing techniques, trade-offs, and best practices Nice-to-have skills/experience

Experience in the implementation and operationalisation of ML models (MLOps) Expertise in Natural Language Processing, Video/Audio Analysis

Experience with Apache Spark or/and other data processing technologies Previous work in Agile development environment (SCRUM, Kanban, XP)