Senior ML Scientist - Elevate AI for Customer Service

Intercom; City Of London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A tech company in London seeks a Machine Learning Engineer to join their team. The role involves identifying value-creating opportunities for machine learning, collaborating with product and design stakeholders, and working on deploying ML solutions. Ideal candidates should have 3-5 years of applied experience in ML, advanced education, and strong communication skills. The position offers a hybrid work policy and competitive salary in a fast-growing environment.

Benefits

Competitive salary and equity

Pension scheme & match up to 4%

Health and dental insurance

Flexible paid time off policy

Paid maternity and paternity leave

Cycle-to-Work Scheme

Relocation support

Qualifications

• Experience in natural language processing (NLP), deep learning, or Bayesian methods.
• Ability to conduct exploratory data analysis and research.
• Skill in measuring and socializing learnings for iteration.

Responsibilities

• Identify areas where machine learning can create customer value.
• Collaborate with teammates and stakeholders.
• Evaluate algorithms for effectiveness before deployment.
• Bring prototypes to production swiftly.
• Iterate based on empirical evidence and feedback.

Skills

Applied machine learning knowledge

3-5 years applied ML experience

Practical stats knowledge

Strong communication skills

Comfort with ambiguity

Advanced education in ML or related field

Scientific thinking skills

Track record shipping ML products

Deep experience in applicable ML area

Strong stats or math background

Education

Advanced education in ML or related field (e.g., MSc, PhD)

Job description

A tech company in London seeks a Machine Learning Engineer to join their team. The role involves identifying value-creating opportunities for machine learning, collaborating with product and design stakeholders, and working on deploying ML solutions. Ideal candidates should have 3-5 years of applied experience in ML, advanced education, and strong communication skills. The position offers a hybrid work policy and competitive salary in a fast-growing environment.