Senior ML Frameworks Engineer

Grid Dynamics Holdings; London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A technology consulting firm in London seeks a Senior ML Frameworks Engineer to enhance machine learning tooling throughout the ML lifecycle. The ideal candidate has strong machine learning knowledge, proficiency in Python, and experience in large-scale data systems. Join a dedicated team on innovative AI projects with competitive salary and flexible work options.

Benefits

Opportunity to work on bleeding-edge projects

Flexible schedule

Competitive salary

Medical insurance

Sports benefits

Corporate social events

Professional development opportunities

Well-equipped office

Qualifications

• Strong understanding of machine learning principles, especially in the context of LLMs.
• Solid proficiency in Python, including machine learning packages like Jax/Tensorflow or PyTorch.
• Experience building scalable deep learning systems.
• Experience with large-scale data infrastructure.
• Strong verbal and written communication skills.

Responsibilities

• Build machine learning tooling for the ML lifecycle.
• Work with stakeholders to align LLMs for specific use cases.
• Deliver reusable tooling to integrate with existing systems.

Skills

Understanding of machine learning principles

Proficiency in Python

Experience with deep learning systems

Experience with large-scale data infrastructure

Strong communication skills

Education

Equivalent degree in computer science

Tools

Jax/Tensorflow

PyTorch

Job description

We are seeking a talented Senior ML Frameworks Engineer to develop and enhance scalable machine learning tooling that supports the entire ML lifecycle-from data processing and model training to evaluation and deployment. You will collaborate with cross-functional teams to create reusable, efficient solutions tailored for large-scale LLM projects.

Our client is a global leader renowned for pioneering innovations in computer software, personal computers, and mobile tablets, transforming the tech landscape. The team uses advanced machine learning frameworks designed to streamline large-scale model training, fine-tuning, and evaluation. They focus on accelerating training workflows and boosting model performance through continuous experimentation and infrastructure enhancements.

Join us to be at the forefront of innovation in AI and machine learning!

Essential functions

• Build machine learning tooling to facilitate various phases of the ML lifecycle from model training, data ETL, end-to-end model evaluation and deployment
• Work with technical and non-technical stakeholders to build solutions to align LLMs for specific use cases.
• Deliver reusable and easy-to-use tooling to integrate with existing data and machine learning systems

Qualifications

• Strong understanding of machine learning principles, especially in the context of LLMs.
• Solid proficiency in Python, including machine learning packages like Jax/Tensorflow or PyTorch
• Experience building scalable deep learning systems
• Experience with large-scale data infrastructure
• Strong verbal and written communication skills with the ability to work effectively across internal and external organisations and virtual teams.

Would be a plus

• Skills in Java or Scala
• BS/BA or equivalent degree in computer science or similar

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office

About us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.