Senior ML Scientist - Production AI for Customer Experience

United States Digital Space LLC; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid work arrangement

Job summary

Salesforce Fin is seeking a Machine Learning Engineer to join the ML team responsible for defining new features, researching suitable algorithms, and rapidly delivering prototypes to customers. You will collaborate with product and design to move models from development to production, evaluate impact, and iterate based on measurable outcomes.

The role emphasizes hands-on experimentation, scalable ML solutions, and clear communication across engineering and product teams to advance AI-powered

Qualifications

• Broad applied machine learning knowledge.
• Typically have advanced education in ML or related field (e.g. MSc).
• Practical stats knowledge and inference skills.

Responsibilities

• Identify areas where ML can create value for customers.
• Research and identify the right algorithms and tools.
• Work with engineers to bring prototypes to production.
• Plan, measure and socialise learnings to inform iteration.
• Collaborate with Product and Design stakeholders.

Skills

Applied ML knowledge

3-5 years experience

Statistics concepts

Programming skills

Communication

Ambiguity tolerance

ML education (MSc)

Scientific thinking

Education

Advanced ML degree (e.g., MSc)

Tools

Matplotlib

SQL

Job description

Salesforce Fin is seeking a Machine Learning Engineer to join the ML team responsible for defining new features, researching suitable algorithms, and rapidly delivering prototypes to customers. You will collaborate with product and design to move models from development to production, evaluate impact, and iterate based on measurable outcomes.

The role emphasizes hands-on experimentation, scalable ML solutions, and clear communication across engineering and product teams to advance AI-powered