Staff ML Scientist — Hybrid, High-Impact AI for CX

Fdetimes; Greater London; Hybrid; GBP 90,000 - 150,000; Full time

Benefits offered by this job

Hybrid working policy

Job summary

Fin, now part of Salesforce, is seeking an experienced Senior ML Engineer to help define and ship innovative ML features across our product line. The role focuses on leveraging advanced models to improve customer experiences and support processes, with hybrid work options and collaboration across product, design, and engineering teams.

You will lead ML projects, guide junior engineers, and shape the modeling approach from offline research to production.

Qualifications

• 5–8 years of applied ML experience.
• Senior or staff-level experience in data science or software.
• Demonstrated impact on product or teams.
• Strong programming skills across languages.
• Experience leading a team and mentoring engineers.
• Excellent cross-functional communication with product/design.

Responsibilities

• Hire, mentor and develop engineers on the ML team.
• Raise technical standards for performance, reliability and ops.
• Identify ML opportunities to create value for customers.
• Define ML framing for product problems with teammates.
• Conduct exploratory data analysis and research to understand problems.
• Research algorithms and tools, push cutting-edge when needed.
• Perform offline evaluation to validate algorithms.
• Collaborate with engineers to productionize prototypes.
• Plan, measure and share learnings to inform iteration.
• Partner with the team to build ML-powered products.

Skills

Applied ML experience

Senior/Staff leadership

Strong programming

Communication skills

Ambiguity tolerance

Education

MSc in ML or related field

Tools

Python

SQL

Matplotlib

Job description

Fin, now part of Salesforce, is seeking an experienced Senior ML Engineer to help define and ship innovative ML features across our product line. The role focuses on leveraging advanced models to improve customer experiences and support processes, with hybrid work options and collaboration across product, design, and engineering teams.

You will lead ML projects, guide junior engineers, and shape the modeling approach from offline research to production.