Senior ML Engineer - LLM Applications (Remote - United Kingdom)

TN United Kingdom; Glasgow; Remote; GBP 60,000 - 100,000; Full time

Job summary

An innovative firm is seeking a Senior ML Engineer to work on cutting-edge generative AI applications. This role offers the opportunity to develop impactful user-facing products using large-scale datasets. You'll be responsible for productionizing data pipelines and deploying machine learning models, all while collaborating in a dynamic and supportive environment. With a focus on learning and growth, this position promises a fulfilling career path in a company that values creativity and collaboration. Join a team that encourages you to take on challenges and make a real impact in the world of AI.

Benefits

Competitive salary

Pension scheme

Employee stock purchase plan

25 days paid holiday

Remote working reimbursement

Private health insurance

Flexible working hours

Regular hackathons

Quarterly team offsites

Wellness expense allowance

Qualifications

• Strong coding skills in Python or equivalent.
• Experience in building data pipelines for ML models.

Responsibilities

• Define problems and gather requirements with product managers.
• Develop and validate generative AI models.

Skills

Python

Java

C++

Data Analysis

Machine Learning

Generative AI

Tools

Apache Spark

AWS Redshift

AWS S3

Cassandra

AWS Athena

Apache Kafka

Apache Flink

Job description

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Senior ML Engineer - LLM Applications (Remote - United Kingdom), Glasgow

Client: Yelp

Location: Glasgow, United Kingdom

Job Category: -

EU work permit required: Yes

Job Reference: f3ce143fa4cd

Job Views: 14

Posted: 26.04.2025

Expiry Date: 10.06.2025

Job Description:

Summary

Yelp's engineering culture is driven by our core values: we’re a cooperative team that values individual authenticity and encourages creative solutions to problems. All new engineers deploy working code within their first week, and we strive to broaden individual impact with support from managers, mentors, and teams. Ultimately, we’re dedicated to helping our users, growing as engineers, and having fun in a collaborative environment.

At Yelp, we connect people with great local businesses. We handle millions of users sending us hundreds of millions of photos, videos, and reviews. Ever wondered how we organize those reviews and photos and extract insights into data products? That’s the role of the core content group and the mining and text intelligence team.

We’re looking for experienced engineers eager to learn and contribute to building applications using generative AI. You will work with large-scale visual and textual datasets to develop impactful user-facing products utilizing the latest LLMs and ML models. Responsibilities include productionizing and deploying data pipelines or ETLs to create new online and offline data products. Join us in leveraging machine learning across Yelp to create visual, textual, and multi-modal models to develop new products based on our unique content. If you are enthusiastic about learning, eager to take on new challenges, and passionate about creating ML products, we want you on our team!

This role requires you to be located in the United Kingdom. We encourage you to apply even if you don’t meet every single requirement listed. At Yelp, we value great people over checklists.

What you'll do:

• Define problems and gather requirements collaboratively with product managers, teammates, and engineering managers.
• Collect and curate datasets necessary for evaluating and feeding generative models.
• Develop and validate the results of generative AI models.
• Fine-tune models as necessary.
• Productionize models for offline and online usage.
• Balance scale, latency, and availability depending on the problem.

What it takes to succeed:

• Strong coding skills in Python or equivalent (preferably Java or C++).
• Hands-on experience with open-ended and ambiguous data analysis (pattern recognition, insight extraction, statistical analysis, data segmentation).
• A passion for learning and applying cutting-edge AI technologies.
• Experience in building data pipelines for training and deploying machine learning models and ETL pipelines for metrics, analytics, or product features.
• Experience deploying live software services in production.
• Familiarity with technologies such as Apache Spark, AWS Redshift, AWS S3, Cassandra, AWS Athena, Apache Kafka, Apache Flink, and service-oriented architecture.

What you'll get:

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

Closing