Education Requirements:

• BSc, MSc and/or Ph.D. in Computer Science, Maths, Physics or other related Degrees

Experience Requirements:

• Track record of building scalable software solutions in Python

• Strong software infrastructure development skills

• Exposure to one or more of the following: Cython, C++, Numpy, SciPy

• Analytical mindset and ability to show initiative

Responsibilities:

• turn prototype models into-production ready systems

• design and build tooling & frameworks to support strategic research

• architect the high-level design of the strategy software to minimize latency and scale effectively

Education Requirements:

• Education in Computer Science, AI, Machine Learning, Mathematics or Statistics

Experience Requirements:

• Experience leading a team on development projects

• Track record applying Machine Learning and AI to solve business problems

• Interest in cutting edge technology

Responsibilities:

• lead the development of a market leading robo-advice platform

Benefits:

• Competitive rewards package

• Unparalleled career growth opportunities

• Supportive, fun and engaging culture

• Office hubs across the globe

• Flexible vacation time

Education Requirements:

• Bachelor’s Degree

Experience Requirements:

• Minimum 3 years experience in retail, ecommerce or related field

Other Requirements:

• Passion for the retail industry

• Expertise and experience in ecommerce

• Ability to identify client challenges and create solutions

• Quantitatively savvy with ability to interpret data

• Excellent written and verbal communication skills

• Commercial understanding

• Self-motivated

• Adaptability

• Strong interpersonal skills

Responsibilities:

• Help clients through digital transformation

• Lead and produce concisely written reports

• Ownership and delivery of thought leadership content

• Collaborate with the Research Director

• Create unique data analysis to solve customers’ frequently asked questions and pain points

Benefits:

• Competitive salary

• Generous equity package

• 6 month salary reviews

• Flexible hours and 3 days WFH per week

• Generous maternity and paternity leave

Responsibilities:

• Real-time estimating

• Machine learning

• NLP-powered integration

Benefits:

• Competitive salary

• Generous equity package

• 6 month salary reviews

• Flexible hours and 3 days WFH per week

• Generous maternity and paternity leave

Responsibilities:

• AI at scale

• AI Vision

• Deep learning

Benefits:

• Competitive salary

• Generous equity package

• 6 month salary reviews

• Flexible hours and 3 days WFH per week

• Generous maternity and paternity leave

Responsibilities:

• Applied AI

• Workflow efficiency

• Customer experience

Benefits:

• Competitive salary

• Generous equity package

• 6 month salary reviews

• Flexible hours and 3 days WFH per week

• Generous maternity and paternity leave

Responsibilities:

• Telling our AI story

• Selling at scale

• Creating impact together

Benefits:

• Competitive salary

• Generous equity package

• 6 month salary reviews

• Flexible hours and 3 days WFH per week

• Generous maternity and paternity leave

Responsibilities:

• Great minds

• Inclusivity

• World-class work culture

Benefits:

• Competitive salary

• Generous equity package

• 6 month salary reviews

• Flexible hours and 3 days WFH per week

• Generous maternity and paternity leave

Responsibilities:

• Building industry trust

• Enabling business

• Shaping the future

Benefits:

• Competitive salary

• Generous equity package

• 6 month salary reviews

• Flexible hours and 3 days WFH per week

• Generous maternity and paternity leave

Responsibilities:

• Building trusted relationships

• Advocating AI

• Transforming businesses

Benefits:

• Staff First Culture

• Trust

• Transparency

• Fairness

• Consistency

Responsibilities:

• Data Engineering

• Machine Learning & MLOps

• Cloud Architecture

• Software Engineering

• UX & Design

Benefits:

• Wellness programme

• Crew cinema trips

• Hackathons

• Sports teams

• Weekly drinks

Benefits:

• Wellness programme

• Crew cinema trips

• Hackathons

• Sports teams

• Weekly drinks

Benefits:

• Wellness programme

• Crew cinema trips

• Hackathons

• Sports teams

• Weekly drinks

Benefits:

• Hybrid working model

• Competitive compensation

• Generous benefits packages

• 401k matching (USA); Pension Scheme (Certain EU locations)

• Employee Enrichment Fund Flexible time off Summer Fridays, Volunteer days, Charitable donation match, Diversity, Inclusion and Belonging initiatives

Experience Requirements:

• 10+ years of direct B2B selling experience

• 7+ years selling to large enterprise accounts

• 5+ years of experience selling to Financial Services / Banks at executive level

Other Requirements:

• Proven track record of closing large, complex agreements

• Experience presenting to C-level stakeholders

• Strong communication skills

• Self-motivated

• Understanding of Marketing Technologies

• Aptitude for learning

Responsibilities:

• Deliver new business growth in the UK

• Map out prospect stakeholders

• Understand prospect business strategies

• Build business cases and presentations

• Create compelling stories for different audiences. Develop approaches to create urgency Manage contract negotiations Prospect via email, phone, LinkedIn, and partner ecosystem