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AI Engineer
Stint
London
On-site
GBP 70,000 - 80,000
Full time
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Job summary
An innovative company is seeking an Analytics & AI Engineer to leverage your analytical skills and problem-solving abilities. In this dynamic role, you will develop models to optimize labour deployment and analyze Partner data to uncover key trends and opportunities. Collaborating with diverse stakeholders, you will build visualizations and maintain infrastructure to enhance processes. Enjoy a supportive and friendly work environment with unlimited holiday allowance and health benefits. If you are passionate about AI and data-driven decision-making, this is the perfect opportunity for you to make a significant impact.
Benefits
Qualifications
- Strong proficiency in Python and machine learning techniques.
- Experience in developing production-grade ML data products.
Responsibilities
- Develop models for demand prediction and labour deployment.
- Analyse Partner data to identify opportunities and trends.
Skills
Tools
Job description
Department: Data
Employment Type: Full Time
Location: London, UK
Compensation: GBP 70,000 - GBP 80,000 / year
Description
You will be combining your analytics, modelling ability and natural problem-solving skills to shape, analyse and interpret Partner data to identify key opportunities to drive further returns from improved labour deployment.
- Developing models to understand, predict and deploy labour in accordance to demand, validating also their impact to service
- Analysing Partner data to identify opportunities and trends; building visualisations for internal and external stakeholders
- Building and maintaining infrastructure and software to scale processes
- Collaborating with both technical and non-technical stakeholders to solve problems for our Partners
- Strong proficiency with Python, and familiarity with AI libraries/frameworks
- Solid understanding of machine learning techniques, including supervised and unsupervised learning, with the ability to select and apply the right models to business problems
- Proven hands-on experience in developing production-grade machine learning data products, preferably in one or more of the following areas: demand prediction, video analysis (computer vision) or optimisations
- Familiarity with the AWS cloud platform, particularly with AI/ML services such as SageMaker, Lambda, and related data processing tools
- Strong foundation in mathematics, statistics, and modelling, with a keen ability to interpret data patterns and derive relevant insights
- Willing to develop basic - intermediate proficiency in back-end development (Python with Django, Go) to support deployment and integration of ML models into the product ecosystem
- Unlimited holiday allowance
- Vitality health medical insurance
- Cycle to work scheme
- Gifted shares after completing probation
- Social, friendly and welcoming team
- Office gym membership
- Dog friendly office
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