Machine Learning Engineer

We use our expertise and products to craft customer experiences. Our range of services helps global brand acquire, engage and retain choice-rich customers.

© 2023 Collinson International Limited. Registered in England & Wales under registration No.

Registered address : 3 More London Riverside, London, SE1 2AQ, United Kingdom.

Purpose of the job

As a Machine Learning (ML) Engineer at Collinson, you will play a critical role in driving the development of cloud-based machine learning pipelines for data-driven products and services. Your responsibilities will include collecting data from various business units and leveraging a centralized data platform to productionize analytics and machine learning workflows. Additionally, you will be expected to provide analytical expertise across the Collinson group, ensuring the implementation of cloud-based solutions that meet the needs of both internal and external clients from across Collinson's global footprint.

As an innovator, you will be tasked with bringing fresh ideas to the team and continuously exploring new and modern engineering frameworks to enhance the overall offerings of the Collinson group. A key aspect of this role will also be to collaborate with the data platform team to integrate with the ML platform, and to support the growth and development of the team's ML skillset.

Also, it will be essential for you to be able to identify and resolve issues that arise, ensuring the quality and quantity of work produced by the team is maximized at all times. This will require a combination of technical expertise, problem-solving skills, and the ability to effectively communicate and collaborate with stakeholders.

Key Responsibilities

The ML Engineer will assist ML platform team on all aspects of the design, development, and delivery of data science and machine learning products. This role will also focus on all aspects of the design, development and delivery of data products including problem definition, data acquisition, data exploration, feature engineering, experimenting with algorithms, machine learning, deploying models, iteratively improving the solution and building the tools for this process etc. You will work with data from diverse structured and unstructured data sources in both batch and streaming modes, and potentially various formats including tabular, audio, text and time series. You are also expected to support Head of data science and Engineering in critical workstream around Data Science and Engineering.

Design, Develop and Deliver

• Drive the development of machine learning pipelines for data-driven products and services
• Contribute to architecture and technical decisions to create machine learning workflows and pipelines in cloud (e.g.AWS)
• Collaborate with data scientists and engineers to deploy new machine learning and deep learning models into complex and mission critical production systems
• Select the right tool(s) / services(s) for the job and make it work in production
• Promote a culture of self-serve data analytics by minimizing technical barriers to data access and understanding.
• Stay current with the latest research and technology and communicate your knowledge throughout the enterprise

Day to Day Activities will include

Team Working

Knowledge, skills and experience required

Knowledge

Core Competencies

Desired Technical Skills

Experience