Senior Machine Learning Developer

12 hours ago

Leeds, Leeds, United Kingdom Yelp Full time
Machine Learning Engineer Job Description

At Yelp, we're looking for a skilled Machine Learning Engineer to join our team. As an ML Engineer, you'll play a key role in developing and deploying machine learning models to help us connect people with great local businesses. You'll work with large and complex datasets, conducting end-to-end analyses, wrangling data, and statistical modeling. This includes supporting the development and deployment of projects involving machine learned models for offline, batch-based data products as well as models deployed to online, real-time services. You'll have the opportunity to work in the content and contributor intelligence team on text and visual understanding, along with fine-tuning transformer models to derive embeddings for multiple input types. Your goal will be to productionize and automate model pipelines within Python services, driving and advocating adoption of best practices in MLOps.\

\Responsibilities
• Conduct end-to-end analyses, wrangling data via SQL or Python, to statistical modeling, to hypothesizing and presenting business ideas.
• Work with large and complex datasets.
• Support the development and deployment of projects involving machine learned models for offline, batch-based data products as well as models deployed to online, real-time services.
• Work in the content and contributor intelligence team on text and visual understanding, along with fine-tuning transformer models to derive embeddings for multiple input types.
• Productionize and automate model pipelines within Python services.
• Drive and advocate adoption of best practices in MLOps.
\

\Requirements
• Experience developing and productionizing machine learning models, including their supported data pipeline.
• Experience with machine learning using packages such as TensorFlow, PyTorch, Spark MLlib, XGBoost, Sklearn, etc.
• Strong coding skills in Python or equivalent (Python, Java and C++).
• Solid understanding of engineering and infrastructure best practices.
• The curiosity to uncover promising solutions to new problems, and the persistence to carry your ideas through to an end goal.
\

\Benefits
• Full responsibility for projects from day one, a collaborative team, and a dynamic work environment.
• Competitive salary, a pension scheme, and an optional employee stock purchase plan.
• 25 days paid holiday (rising to 29 with service), plus one floating holiday.
• £150 monthly reimbursement to help cover remote working expenses.
• £81 caregiver reimbursement to support dependent care for families.
• Private health insurance, including dental and vision.
• Flexible working hours and meeting-free Wednesdays.
• Regular 3-day Hackathons, bi-weekly learning groups, and productivity spending to support and encourage your career growth.
• Opportunities to participate in digital events and conferences.
• £81 per month to use toward qualifying wellness expenses.
• Quarterly team offsites.

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