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Machine Learning Engineering Lead
2 months ago
We are seeking a highly experienced and skilled Lead Machine Learning Engineer to join our team at Travtus. As a key member of our engineering team, you will be responsible for leading the development and deployment of enterprise-grade machine learning models into production.
As the Lead Machine Learning Engineer, you will be involved in everything related to the development and deployment of machine learning models. This includes leading a team of 2-3 Machine Learning Engineers, delivering your own production models, and contributing to architectural discussions. You will work closely with data engineers, analysts, and software developers to bring our suite of products to life.
This is a role for an experienced technical Lead who can combine hands-on work with team management. You will be responsible for defining and prioritizing project goals and objectives, ensuring the team's alignment with company objectives.
Responsibilities- Lead a team of 2-3 data scientists, fostering a collaborative and innovative environment.
- Provide technical guidance, motivation, and mentorship to team members, promoting their professional growth.
- Define and prioritize project goals and objectives, ensuring the team's alignment with company objectives.
- Lead the development of machine learning-based applications, from ideation to deployment.
- Apply your expertise in Natural Language Processing (NLP) to solve complex problems and enhance AI tools.
- Collaborate with software engineers and data engineers to integrate machine learning models into production systems.
- Review performance of production models, performing evaluation and tuning.
- Extensive professional experience as a Software Engineer.
- Commercial experience in fine-tuning foundation LLMs.
- Some experience leading a small team of Machine Learning or Software Engineers.
- Proven track record of delivering machine learning-based applications commercially into production (not academia or research).
- Engineering mindset with experience working on cloud platforms (ideally, AWS although Azure and GCP are also fine).
- Expertise in Python programming.
- Experience working with AWS Sagemaker pipelines.
- Experience with Langchain, Retrieval Augmented Generation (RAG) or Vector Databases.
- £70,000 - £85,000 base salary (salary assessment will be primarily based on experience).
- Deliveroo weekly budget.
- AXA healthcare.
- Unlimited holiday.