Senior Machine Learning Engineer

Wise; Greater London; Hybrid; GBP 66,000 - 106,000; Full time

Benefits offered by this job

Stock equity grants

Hybrid work

Benefits

Job summary

Wise is seeking an IC3 Machine Learning Engineer to join its Risk ML and Intelligence team in London. You will focus on the label platform's integrity layer, building scalable data pipelines and monitoring metrics for model quality.

You will work end-to-end on model training, evaluation and deployment, collaborating with cross-functional partners in Risk Intelligence, Data Engineering and Product. Hybrid work setup in London.

Qualifications

• Degree in STEM or related quantitative field required.
• Strong mathematical and statistical fundamentals needed.
• Hands-on experience with model training, evaluation and deployment using ML frameworks.
• Proficiency in Python or Java and advanced SQL required.

Responsibilities

• Join the Risk ML and Intelligence team as an IC3 Machine Learning Engineer.
• Build, scale and maintain the integrity layer for the label platform for Risk ML models.
• Define and monitor statistical fundamentals and data/label quality metrics.
• Design automated audits to evaluate label quality over time.
• End-to-end work on ML model training, evaluation and deployment in pipelines.
• Collaborate with Risk Intelligence, Data Engineering and Product teams.

Skills

Mathematics fundamentals

Statistics fundamentals

ML model training

Python or Java

SQL proficiency

Data visualization

Data pipelines

Fintech/domain experience

Hands-on ML deployment

Education

STEM degree or related quantitative field

Tools

Kaggle/KDD/GoCode experience

Kafka knowledge

ML architectures (GNNs, SVMs, Transformers/LSTMs)

Job description

Salary: £66,000 - 106,000 per year

Requirements

• We require a degree in STEM or a related quantitative field such as Computer Science, Mathematics, Statistics, Physics, Chemistry, or Electrical Engineering.
• We need strong mathematical and statistical fundamentals with a proven track record of applying statistical analysis to complex data environments.
• We look for hands‑on experience across model training, evaluation, and deployment, using frameworks around Machine Learning, AI, Neural Networks, or NLP.
• We require strong proficiency in Python or Java for data scripting and production engineering, alongside advanced SQL capability.
• We need solid hands‑on experience building static data pipelines, conducting deep‑dive data analysis, and using data visualization tools to understand statistical behavior.
• Nice to have: proven success in competitive machine learning environments or platforms such as Kaggle, KDD competitions, or Google Summer of Code.
• Nice to have: experience with specialized ML architectures such as Graph Neural Networks, Support Vector Machines, NLP, or Transformers/LSTMs.
• Nice to have: familiarity with real‑time streaming data pipelines such as Kafka.
• Nice to have: domain experience within Fintech, E‑commerce, or fast‑scaling tech companies.

Responsibilities

• We are looking for someone to join our Risk ML and Intelligence team as an IC3 Machine Learning Engineer.
• We will have you focus on the label side and build the integrity layer for our label platform.
• We expect you to build, scale, and maintain the integrity layer of our label platform for Risk ML models.
• We will have you define, implement, and monitor statistical fundamentals and key quality metrics for data and labels.
• We want you to design automated audit processes to evaluate and monitor label quality over time.
• We need you to work end‑to‑end on machine learning model training, evaluation, and pipeline deployment.
• We want you to collaborate closely with cross‑functional partners across Risk Intelligence, Data Engineering, and Product.

Technologies

• AI
• Support
• Java
• Kafka
• Machine Learning
• Model Training
• Python
• SQL
• Network

More

We are Wise, a global technology company on a mission to make it easier and cheaper to move and manage money across borders. We are building the best way to move and manage the worlds money, with a focus on speed, low fees, and simplicity for people and businesses sending money, spending abroad, or making international payments. We operate with autonomous, cross‑functional teams that put the customer first, and we value diverse, equitable, and inclusive teams. This is a full‑time, mid‑senior engineering role based in London with hybrid working. The starting salary is 87,500 to 111,000 plus stock equity grants vesting over four years and benefits.