Lead Machine Learning Engineer (LLM engineering & deployment)
Salary range: £70,000 - £85,000, hybrid (London 3 days a week)
Are you as passionate about good software engineering as you are about LLMs? Want to make a significant impact and contribute to the company's success? Do you want to lead a team operating at the very cutting edge of AI technology, whilst remaining hands-on and delivering your own solutions? If yes, then read on …
About the Role
As the Lead Machine Learning Engineer, you will be involved in everything to do with the development and deployment of enterprise-grade machine learning models into production. Splitting your time between supporting and leading a team of 2-3 Machine Learning Engineers whilst delivering your own production models and inputting significantly into architectural discussions. You will work closely with data engineers, analysts and software developers to breathe life into our suite of products.
This is a role for an experienced technical Lead, who can combine hands-on work with team management.
Responsibilities
Leadership:
- 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.
Delivery:
- 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
Must-have requirements
- 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
Preferred, non-essential requirements:
- Experience working with AWS Sagemaker pipelines
- Experience with Langchain, Retrieval Augmented Generation (RAG) or Vector Databases
Benefits
- £70,000 - 85,000 base salary (salary assessment will be primarily based on experience)
- Deliveroo weekly budget
- AXA healthcare
- Unlimited holiday
About the Team
Our team is a multi-disciplinary team of experts with everyone contributing their own area of specialism; from infrastructure to knowledge graphs, Real Estate Operations to dialogue design.
Working in a truly collaborative style, where everyone is heard and brings something valuable to the conversation allows us to push the boundaries in this new technology area. We are fundamentally challenging the way one of the largest industries in the world operates, and our commercial success pays testament to the skill, commitment and passion that our team displays every day.
Apply now and help us shape the future of AI
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