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

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

Job summary

An innovative firm is seeking a Senior ML Engineer to join their dynamic team in Manchester. This exciting role focuses on building applications using generative AI and working with large-scale datasets. As part of a collaborative environment, you will have the opportunity to define problems, develop AI models, and productionize data pipelines. With a commitment to individual growth and impactful projects, this position offers a competitive salary and numerous perks, including flexible hours and health insurance. If you are passionate about machine learning and eager to tackle new challenges, this is the perfect opportunity for you.

Benefits

Competitive salary

Pension scheme

Employee stock purchase plan

25 days paid holiday

Remote working expense reimbursement

Caregiver reimbursement

Private health insurance

Flexible hours

Wellness expense allowance

Quarterly team offsites

Qualifications

• Strong coding skills in Python or similar languages.
• Experience in data analysis and pattern extraction.
• Familiarity with deploying live software services.

Responsibilities

• Define problems and gather requirements with teams.
• Develop and validate results of generative AI models.
• Productionize models for offline and online usage.

Skills

Python

Java

C++

Data Analysis

Machine Learning

Generative AI

Data Pipelines

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), Manchester

Client: Yelp

Location: Manchester, United Kingdom

Job Category: -

EU work permit required: Yes

Job Reference: 42096a815ef5

Job Views: 7

Posted: 26.04.2025

Expiry Date: 10.06.2025

Job Description:

Summary

Yelp engineering culture is driven by our 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. Our focus is on 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. We organize those reviews and photos into data products, which is where the core content group and mining and text intelligence team come in.

We're seeking experienced engineers eager to learn and contribute to building applications using generative AI. You'll work with large-scale visual and textual datasets to build impactful user-facing products and features 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 to leverage machine learning across Yelp to create visual, textual, and multi-modal models to develop new products based on our content. If you're enthusiastic about learning, eager for 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 welcome applications even if you don’t meet every single requirement. At Yelp, we value great people over checklists.

What you'll do:

1. Define problems and gather requirements in collaboration with product managers, teammates, and engineering managers.
2. Collect and curate datasets necessary for evaluating and feeding generative models.
3. Develop and validate results of generative AI models.
4. Fine-tune models when necessary.
5. Productionize models for offline and online usage.
6. Balance scale, latency, and availability depending on the problem.

What it takes to succeed:

1. Strong coding skills in Python or similar languages (Java or C++ preferred).
2. Experience in open-ended, ambiguous data analysis (pattern and insight extraction, statistical analysis, data segmentation).
3. A passion for learning and using cutting-edge AI technologies.
4. Understanding of building data pipelines for training and deploying ML models and/or ETL pipelines for metrics, analytics, or product features.
5. Experience in deploying live software services in production.
6. Familiarity with technologies like 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 environment.
• Competitive salary, pension scheme, and optional employee stock purchase plan.
• 25 days paid holiday (rising to 29 with service), plus one floating holiday.
• £150 monthly reimbursement for remote working expenses.
• £81 caregiver reimbursement for dependent care.
• Private health insurance, including dental and vision.
• Flexible hours and meeting-free Wednesdays.
• Regular hackathons, bi-weekly learning groups, and career development support.
• Participation in digital events and conferences.
• £81/month wellness expense allowance.
• Quarterly team offsites.