If solving challenging Python and Machine Learning problems in a dynamic, evolving landscape excites you, this might be the perfect opportunity!
We are an AI business transforming the industry, and we're on the lookout for a passionate Python Software Engineer with a keen interest in Machine Learning.
What we offer 90k package (82k base + 8k bonus)Lucrative Share options4 days onsite in London per weekOur growing success comes from providing next generation technological solutions in an accessible and easy to operate way.
You'll be joining a new department poised to tackle unique problems that requires significant innovation across GenAI, NLP, Data Science and AI code generation.
Requirements MSc or PhD in a related fieldSoftware engineering experience applied to productionising ML or building data pipelinesUnderstanding and passionate around AI & ML technologiesDocker and KubernetesSQL – data querying and manipulatingBonus Knowledge Graph experienceNeo4jRole Build, maintain and manage ML data pipelines that will ingest data and productionise ML models in the cloudThis role is more engineering focused than Data scienceWork closely with other teams to productionise ML modelsContribute to the development of the Knowledge GraphBuild unique solutions which ensure that GenAI LLM models in our pipeline have the data they need (through efficient RAG, prompting, agent architectures)Able to integrate models with automated and human workflows efficiently to deliver to our customers and capture feedback for continuous learningEngineer to scale in the cloud using methodologies such as service-oriented architectures, containerised applications and lambdasWhy Join? We're a technology centric company who are really going places!
We have massive plans and build great solutions to back it up.
We push the boundaries of what is possible and the work in turn is both thrilling and challenging.
We provide an environment to thrive.
If you're craving rapid growth, able to create a path in uncharted territory, and comfortable with trying, failing and course-correcting fast, come join the team!
Sound interesting?
Please apply to find out more!
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