London (Hybrid)
Q1 Start Initial 6 months
Outside IR35 – rate depending on experience
We’re working with a fast-growing AI company looking for a Senior, hands-on Data Software Engineer ML/AI to take ownership of their data pipelines and strategy, sitting at the intersection of software engineering, data engineering and machine learning.
This is a critical, urgent hire. Today, data ingestion and optimisation is handled ad-hoc by ML engineers, the goal is to industrialise this into robust, scalable, daily pipelines that can support rapid model development without storage or cost bottlenecks.
What you’ll be doing
- Designing and owning end-to-end data pipelines, from data sourcing through to ML-ready datasets
- Building and maintaining web scraping and ingestion pipelines to ensure fresh, up-to-date data feeds into models on a daily basis
- Working heavily with audio and transcript data pairs at scale
- Optimising data storage and retrieval to improve cost, performance, and scalability
- Improving the efficiency and throughput of the ML team by removing data bottlenecks
- Establishing a clear data strategy: what data is collected, how it’s sourced, stored, versioned and governed
- Collaborating closely with ML, MLOps, platform and infrastructure teams
- Taking ownership in an environment without an established data engineer
What we’re looking for
- Strong experience as a Software Engineer working on Data & AI problems
- Proven ownership of scraping, ingestion and data pipeline design (not just SQL / data lake work)
- Advanced Python skills; solid SQL where needed
- Experience building data systems that directly support machine learning workflows
- Cloud experience (any major provider) and comfort working close to infrastructure
- Ability to operate independently, define best practice, and move fast in an evolving environment
