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Machine Learning Engineer
Job Posted: 7 hours ago
Salary: £ Competitive
Job Type: Permanent
Location: Bristol
Expire in: a month
Job Description
Experis
Location
Bristol - Hybrid
Employment Type - Full time
Department - Defence
About the Role
You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the Defence and National Security arena.
What You'll Be Doing
You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical, and non-technical stakeholders, to deploy ML to solve real-world problems.
Our Machine Learning Engineers are responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you'll be essential to helping us achieve that goal by:
Building software and infrastructure that leverages Machine Learning;
Creating reusable, scalable tools to enable better delivery of ML systems
Working with our customers to help understand their needs
Working with data scientists and engineers to develop best practices and new technologies; and
Implementing and developing the companies view on what it means to operationalise ML software.As a rapidly growing organisation, roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include:
Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems.
Working with senior engineers to scope projects and design systems
Providing technical expertise to our customers
Technical DeliveryWho We're Looking For
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