Senior Machine Learning Engineer

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds,  and make a meaningful impact, we want to hear from you.

The ideal candidate for this Senior Machine Learning Engineer role has a multi-faceted skillset encompassing data analysis, data science and software engineering. As part of the AI Innovation Lab, the candidate will leverage this powerful combination of skills to explore how cutting-edge AI technologies can be applied to drive our organisation’s AI strategy forward. They will design and build innovative AI prototypes, blending rigorous data science experimentation with robust software engineering to push the boundaries of our technical capabilities. 

What you will do:

• Analyse and interpret large data assets within our cloud-hosted data warehouse. 

• Collaborate across diverse business domains to solve complex analytical problems and build advanced AI solutions in areas such as predictive modeling, fraud detection, and agentic AI. 

• Utilise combined knowledge of data structures, analytics, machine learning algorithms, software engineering and cloud computing to independently prepare datasets, conduct analytics, and develop deployable solutions.

• Lead projects through all phases of development and delivery from analysis & design all the way through to deployment.

• Apply development and testing best practices and demonstrate excellent software craftsmanship to produce maintainable, quality solutions.

• Define and evaluate the technical work of junior team members, guiding them on deliverable quality and accuracy.

• Package, summarise, visualise, and translate analytical findings into compelling narratives for both technical and non-technical stakeholders, clearly communicating the business impact.

• Stay up-to-date with emerging AI tools and technologies, evaluating their potential to advance team projects. 

What experience you need

• Bachelor's degree (2:1 or above) in a numerical subject (Computer Science, Mathematics, Statistics, Physics, Engineering), or equivilent experience.

• Extensive experience in a related role. 

• Hands-on experience leveraging cloud AI platforms (ideally Vertex AI on GCP).

• Proficient in Python and SQL with an understanding of database design techniques (such as partitioning) and performance tuning (such as query optimisation).

• Proven expertise in utilising advanced statistical concepts to design predictive machine learning algorithms, ensuring rigorous evaluation and optimisation for accuracy and performance. 

• Strong analytical and problem-solving skills, with a proven ability to navigate ambiguity, think creatively, and chart a clear plan of action when developing new prototypes without detailed requirements.

• Excellent communication and presentation skills.

What could set you apart

• Experience implementing agentic AI solutions, utilising elements such as multi-agent architectures, Retrieval-Augmented Generation (RAG) pipelines, or tool integration via MCP (Model Context Protocol) servers.

• Experience with advanced AI techniques, including deep neural networks and their applications in natural language processing. 

• Knowledge of the financial services industry.

• Strong grasp of software engineering best practices such as the SOLID principles, peer reviewing and source control using Git

• Contributions to open-source AI projects.

• A Masters degree in a numerical subject (Computer Science, Mathematics, Statistics, Physics, Engineering).

The Perks of being a Equifax Employee?

We offer a wide range of company supported benefits including contributory pension, life cover, income protection, healthcare, enhanced maternity and sick pay, 26 days holiday and a day off for your birthday, with the ability to buy and sell and free credit checks. We also offer flexible benefits ranging from cycle to work, discounted travel options, gym membership, dining and leisure discounts, financial & savings plans, mobile discounts plus much more!

We also support personal development and have a range of learning options including our global online learning platform and allow you to bring your whole self to work supported by our Inclusion and Diversity, Well