Staff ML Scientist: Lead ML for Product & Production

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

Job summary

A technology company in Greater London is seeking an experienced Machine Learning Engineer to join their dedicated team. The role involves mentoring engineers and driving the technical standards while working on innovative ML solutions. Ideal candidates will have extensive experience in applied ML and a significant track record of impactful contributions. The position offers competitive salary, equity, and a hybrid work environment with a strong emphasis on diversity and inclusion.

Benefits

Competitive salary and equity

Lunch and snacks provided

Health and dental insurance

Open vacation policy

Flexible holidays

Cycle-to-Work Scheme

Provision of work equipment

Qualifications

• 5-8 years applied ML experience in a relevant area.
• Strong communication skills, both within teams and across disciplines.
• Typically have advanced education in machine learning or related field.
• Experience as the primary technical leader for a team.
• Track record of shipping ML products.

Responsibilities

• Play an active role in hiring and mentoring engineers.
• Raise technical standards, performance, and operational excellence.
• Identify ML value creation opportunities for customers.
• Conduct research and exploratory data analysis.
• Work with engineers to bring prototypes to production.

Skills

Applied ML experience

Communication skills

Advanced education in ML

Scientific thinking

Deep experience in NLP, Deep learning

Education

PhD or advanced degree in ML

Job description

A technology company in Greater London is seeking an experienced Machine Learning Engineer to join their dedicated team. The role involves mentoring engineers and driving the technical standards while working on innovative ML solutions. Ideal candidates will have extensive experience in applied ML and a significant track record of impactful contributions. The position offers competitive salary, equity, and a hybrid work environment with a strong emphasis on diversity and inclusion.