Senior Machine Learning Engineer

Plutus; Greater London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An innovative firm is on the lookout for a seasoned Machine Learning Engineer to spearhead their ML initiatives. This role involves developing cutting-edge machine learning models, optimizing performance, and creating automated pipelines for model training and deployment. You will collaborate closely with cross-functional teams to integrate ML solutions into the product, while also mentoring junior engineers. If you have a passion for machine learning and a strong background in deep learning and image generation, this opportunity offers a chance to make a significant impact in a forward-thinking environment.

Qualifications

• 5+ years of experience in machine learning with a focus on deep learning and image generation.
• Strong programming skills in Python and experience with ML libraries like TensorFlow or PyTorch.

Responsibilities

• Develop and refine advanced machine learning models for image generation.
• Collaborate with the CTO and product team to integrate ML models into the core product.

Skills

Machine Learning

Deep Learning

Python

Problem-solving

Education

Master’s or Ph.D. in Computer Science

Tools

TensorFlow

PyTorch

Docker

AWS

GCP

Azure

Job description

Fresh off the back of our large seed-stage investment round, we are looking for an experienced Machine Learning Engineer to lead our ML work streams, and translate product concepts and requirements into a mixture of: research tasks, proof-of-concept applications, and production-ready features.

Key Responsibilities:

• Developing and refining advanced machine learning models for image generation, with a core focus on maintaining control of the output. Fine-tuning latent diffusion models and training new conditioning models.
• Optimising model performance for speed, quality, and ensuring scalability in a cloud-based environment.
• Creating and maintaining pipelines for automated model training and deployment.
• Assisting backend developers to build and maintain data engineering pipelines for downstream data analysis and training tasks against a data warehouse.
• Collaborating closely with the CTO, product designers, and engineering team to integrate ML models into the core product.
• Conducting research and staying up-to-date with the latest advancements in machine learning and computer vision relevant to our future roadmap and feature ideas.
• Mentoring junior ML engineers and data scientists, fostering a collaborative and innovative team culture.
• Working with the product team to understand user needs, testing and iterating on features to improve the user experience.

Requirements:

• 5+ years of hands-on experience in machine learning, with a focus on deep learning, image generation, and/or computer vision.
• Good understanding of latent diffusion models, LLMs.
• Strong programming skills in Python and experience with ML libraries like TensorFlow or PyTorch.
• Proven experience deploying ML models in production environments, including model optimisation and scaling.
• Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Excellent problem-solving skills and a self-starter attitude.

It would be a bonus for you to have:

• Master’s or Ph.D. in Computer Science, Machine Learning, GenAI, or a related field.
• (Extra bonus!) Experience or familiarity with CAD or 3D modelling software (e.g., Blender, 3DS Max).

Core Skills: Machine Learning, Deep Learning, Python, Docker, Data Warehousing

Other Skills: Tensorflow, PyTorch, AWS

Seniority: Senior, Lead