Machine Learning Engineer

1 week ago

United Kingdom Identify Solutions Full time

Job Title: Machine Learning Engineer
Location: Hybrid (2-3 days per week in the office)
Contract Type: Outside IR35, 3 months initially
We are looking for a highly skilled ML Engineer to join our R&D team, working on cutting-edge projects involving Natural Language Processing (NLP), Large Language Models (LLM), Computer Vision, Voice Synthesis, and more. As an ML Engineer, you will engage in exploratory work, focusing on building out prototypes and developing solutions to novel challenges. You'll be at the forefront of innovation, often working with ambiguous data quality and client preferences to identify and implement the best model solutions.
Work on challenging ML problems for customers, including R&D activities and the implementation of early-stage research, even on customer hardware.
Perform extensive experimentation throughout the project lifecycle, from data collection to defining and developing model architectures.
Contribute to meeting project and product deliverables, ensuring they are completed on schedule and within budget.
You'll work with state-of-the-art machine learning frameworks like PyTorch and TensorFlow to develop and deploy models.
You'll use Redis and SQL databases and have working knowledge of AWS services to manage data storage and processing.
You'll use GitHub for version control, Docker and Kubernetes for deployment and integration, and Jira for collaboration.
You'll work with MLOps pipelines, particularly using ClearML, and monitoring tools such as Grafana to ensure smooth operations and performance tracking across environments.
Proven experience as an ML Engineer, particularly in R&D or exploratory environments.
Strong problem-solving skills with a creative, experimental approach.
Ability to work independently and handle uncertainty in data quality and technology preferences.
Experience working on complex projects involving NLP, LLM, Computer Vision, and similar cutting-edge technologies.
Work on groundbreaking ML projects, including NLP, LLM, Computer Vision, and Voice Synthesis.
Contribute to high-impact projects that push the boundaries of current ML technologies.
Benefit from a hybrid working model with flexibility and collaboration opportunities.

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