Machine Learning Engineer

The Stepstone Group; London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading technology company in London is seeking an experienced ML Engineer to deploy and scale machine learning models. You will collaborate with data scientists and engineers to create scalable pipelines, focusing on modern API and microservices architectures. This role offers a hybrid working model and a range of benefits, including 29 days holiday and private healthcare.

Benefits

29 days holiday allowance

Private medical and dental healthcare

Matching pension contribution

24/7 Employee Assistance Programme

Life Assurance Cover

Cycle to work scheme

Dog-friendly office on Mondays and Fridays

Qualifications

• Strong foundation in Python is a must.
• Experience with machine learning and tools like Huggingface and Pytorch.
• Familiar with deploying ML models in cloud environments.

Responsibilities

• Collaborate with data scientists and ML Engineers.
• Deploy and scale ML models.
• Build and maintain pipelines for real-time ML applications.

Skills

Strong foundation in Python

Experience with machine learning tools

Familiarity with cloud deployment

Understanding of DevOps processes

Experience with vector databases

Tools

AWS

Docker

Terraform

Kafka

Job description

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Join our team and you’ll be responsible for our recommender systems and search algorithms,building the core infrastructure that powers millions of meaningful connections.

Working in theSearch & Match domain, you willbe focusing on deploying and scaling machine learning models, particularly large language models (LLMs). You will collaborate with data scientists to make sure our models are efficient and can be properly optimized for cost and performance. You will work with software engineers to set up modern machine learning pipelines ensuring high operational standards.

If you’d like to make a difference by maintaining cutting-edge, scalable machine learning infrastructure that brings the right people to the right jobs, then we’d love to hear from you!

You will play a vital role as we reimagine the labour market to make it work for everybody.

Your responsibilities:

• Collaborate with data scientists, ML Engineers, and backend engineers within an Agile environment
• Deploy and scale ML models, particularly large language models (LLMs)
• Build and maintain scalable pipelines and services to support real-time ML applications
• Maintain and improve recommender systems
• Build and work with modern API and microservices architectures

Qualifications

• Strong foundation in Python
• Experience with machine learning, familiar with Huggingface, Pytorch, and similar ML tools and packages
• Familiarity with deploying and scaling ML models in the cloud, particularly with AWS and SageMaker
• Understanding of DevOps processes and tools: CI/CD, Docker, Terraform, and monitoring/observability
• Bonus: experience with vector databases, semantic search, or event-driven systems like Kafka

Additional Information

We’re a community here that cares as much about your life outside work as how you feel when you’re with us. Because your job shouldn’t take over your life, it should enrich it. Here are some of the benefits we offer:

• 29 days holiday allowance + bank holidays
• Private medical and dental healthcare
• Matching pension contribution of 4 or 5% (after 3 years of service up to 10%)
• 24/7 Employee Assistance Programme
• Life Assurance Cover
• Cycle to work scheme
• Hybrid working model (3 days working fromthe office)
• and you can bring your dog to the office onMondays and Fridays!

Our commitment

Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group are critical to our success as a global company, so we want to recruit, develop, and keep the best talent. We encourage applications from everyone, regardless of background, gender identity, sexual orientation, disability status, ethnicity, belief, age, family or parental status, and any other characteristic.

As a global business we further our DEI and sustainability progress by working with national and international bodies and are proud to have been recognised for our work - both locally and internationally, including:

• Fertility Friendly Employer, accredited by Fertility Matters at Work
• RIDI (Recruitment Industry Disability) Awards: Inclusive Technology Award 2024
• Stonewall: Gold Award
• Stonewall: Top 100 Workplace Equality Index (85)