Principal ML Engineer
Partnered with a Global Specialist Cloud Consultancy working with various household brands who are on the ramp up to upscale their Machine Learning/MLOps capabilities and looking to build out top tier resources in this area of speciality in a Senior and Principal capacity.
Role Requirements:
- Lead Architecture and development of scalable, high performance Data pipelines and ML systems focusing on ingestion, transformation, quality and enhancement.
- Provide Tech leadership and mentorship to various cross-functioning teams of ML Engineers, Data Scientists and infrastructure teams ensuring project alignment, high standards and architectural alignment.
- Drive and integrate Machine Learning and AI technologies including NLP and LLMs enabling automation and creating intelligent Data solutions.
- Champion best practises and mentor engineers across teams driving continuous improvement.
- Provide direction and shape technical direction across AI,ML, Data Engineering and distributed systems.
Skills:
- Extensive design and leading development of large-scale distributed data and ML backend systems.
- Hands-on experience with ETL pipeline design and optimising for complex datasets.
- Experience building robust APIs and ability to work in Modern cloud environments ideally GCP.
- Extensive understanding of NLPs and LLMs alongside a proven track record of end to end ML System design.
- Consulting experience ideally or a strong background delivering in a Client facing environment.
If this role aligns with your career aspirations and you'd like to know more please share your CV and availability for a call to daniel.neaves@harveynash.com
