Role: Machine Learning Engineer

Duration: 6 months (extension options)

Rate: 750 - 1,000 per day (Inside IR35, via Umbrella)

Location: London (Hybrid)

The world of finance moves fast. Our client is faster. Their teams are empowered to learn, grow, and make an impact in their careers and communities. They deliver innovation that advances the way the world pays, banks, and invests. They are looking for a Machine Learning Engineer to architect and build complex systems on AWS infrastructure.

Job role:

• You will play a vital role in setting the direction and objectives for your team across project impact, ML system architecture, and upholding machine learning best practices.
• Leverage expertise in adapting standard machine learning techniques to modern parallel computing environments like distributed clusters, multicore Servers, and GPUs.
• Re-evaluate the trade-offs of already shipped features/ML systems, and you can drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriate.
• Technically guide team to develop scalable machine learning systems while also influencing engineering culture and standards.
• Be a go-to person to escalate the most complex online/production performance and evaluation issues, that require an in-depth knowledge of how the machine learning system interacts with systems around it.
• Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models.
• Suggest, collect, and synthesize requirements and create effective feature roadmap.
• Code deliverables in Tandem with the engineering team.

Requirements:

Essential

• Experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical field
• Experience with developing machine learning models at scale from inception to business Impact.
• Knowledge developing and debugging in C/C++ and Java, or experience with Scripting languages such as Python and/or Shell Scripts.
• Experience demonstrating technical leadership working with teams, owning projects,
• defining, and setting technical direction for projects.

Preferred

• Master's degree or PhD in Computer Science or a related technical field.
• Exposure to architectural patterns of large-scale software applications.
• Bachelor's degree in computer science, Computer Engineering, relevant technical field, or equivalent practical experience.

Candidates will ideally show evidence of the above in their CV to be considered.

Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly.