Overview
Join to apply for the Machine Learning Engineer - GenAI role at Back on Track! Solutions.
Location: London, England, United Kingdom. This role is posted by Back on Track! Solutions with details provided by Experian in some descriptions.
Company
Experian is a global data and technology company that powers opportunities for people and businesses worldwide, helping redefine lending, prevent fraud, enable healthcare improvements, and support analytics across industries. Experian operates across financial services, healthcare, automotive, and other sectors with a focus on data, analytics and software. The GenAI Centre of Expertise (GenAI CoE) at Experian works to improve products and processes through GenAI and automation, collaborating with ML engineers, data scientists and product owners.
Job Description
The GenAI CoE exists to translate experimentation into products and services that Experian can offer to customers, focusing on performance, maintainability and scalability. You will work with data scientists and a range of stakeholders to deliver GenAI-enabled solutions.
You Will
- Partner with teams across the organisation to develop GenAI solutions from early experimentation to full-scale production, potentially including DevOps work where needed.
- Architect and build high-performant solutions, including traditional ML modelling, large datasets, and GenAI.
- Discover and introduce new technologies to enable the next generation of Experian products with GenAI and ML.
- Spend 10% of your work time learning and sharing expertise on generative-AI technologies.
Qualifications
- Degree or equivalent qualification in a STEM subject.
- Familiarity with Unix environments.
- Experience with at least one programming language besides Python.
- Proficiency in object-oriented programming (OOP), SOLID principles, and test-driven development (TDD).
- Proficiency with Docker and experience with container orchestration tools (e.g., Kubernetes or cloud-based alternatives).
- Comfort working across the full development stack, especially for prototyping.
- Passion for applying GenAI and machine learning across diverse domains and through the full project lifecycle.
- Experience with common ML approaches (e.g., LLMs, GBMs, deep learning) and typical software architectures.
- Experience as a lead developer solving complex problems at scale.
- Experience mentoring junior engineers.
- Familiarity with ML frameworks and toolkits (e.g., scikit-learn, XGBoost, TensorFlow).
- Hands-on experience building GenAI solutions using patterns such as Retrieval-Augmented Generation (RAG) or fine-tuning Large Language Models (LLMs).
- Greater familiarity with AWS compared to other cloud platforms.
- Experience developing REST APIs.
Benefits
- Hybrid working
- Great compensation package and discretionary bonus
- Core benefits include pension, Bupa healthcare, Sharesave and more
- 25 days annual leave with 8 bank holidays and 3 volunteering days (you can purchase additional leave).
Additional Information
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is part of Experian's DNA; the company values a diverse workforce and inclusive culture. If you require accommodation for a disability or special need, please let us know at the earliest opportunity.
This posting may include references to related opportunities or locations; refer to the Careers Site for current openings.
Find out what it's like to work for Experian by visiting the Careers Site.
Locations and posting dates shown are examples and may vary by region.
Job Requirements and Details
- Seniority level: Mid-Senior level
- Employment type: Full-time
- Job function: Information Technology
- Industries: Software Development
:quality(80))
:quality(80))
:quality(80))