Senior ML Engineer

C4S Search Ltd; Greater London; Hybrid; GBP 90,000 - 150,000; Full time

Job summary

C4S Search Ltd – Senior Machine Learning Engineer in Central London. Hybrid working, full-time or contract. You will design, deploy and scale ML systems for demand forecasting and AI products, building end-to-end pipelines and multimodal models.

You will collaborate with Applied Scientists, Data Engineers, PMs and business stakeholders to productionise solutions. Role requires strong Python, PySpark/Databricks experience, hands-on DL with PyTorch or TensorFlow, and a pragmatic, business-focused

Qualifications

• Design, develop, and deploy production ML systems in a scalable way.
• Build end-to-end ML pipelines covering data prep, experiments, training, eval, deployment, monitoring.
• Work with PySpark/Databricks for large-scale data processing and feature engineering.

Responsibilities

• Design, develop, and deploy scalable ML systems for forecasting and AI products.
• Build end-to-end ML pipelines spanning data prep, training, evaluation, deployment, monitoring and optimization.
• Collaborate with scientists, engineers, PMs and stakeholders to productionise ML solutions.

Skills

Python software

PySpark & Databricks

Deep learning

ML pipelines

Transformers & representation learning

Cloud & MLOps

Cross-functional collaboration

Distributed systems

Tools

Databricks

PyTorch

TensorFlow

Job description

SENIOR MACHINE LEARNING ENGINEER

LOCATION: Central London

SALARY: Negotiable

WAY OF WORKING: Full Time | Contract | Hybrid Working

THE SENIOR MACHINE LEARNING ENGINEER OPPORTUNITY

• Design, develop, and deploy scalable machine learning systems that support demand forecasting and related AI products.
• Build and maintain end-to-end ML pipelines covering data preparation, experimentation, training, evaluation, deployment, monitoring, and optimisation.
• Develop large-scale data processing and feature engineering solutions using technologies such as PySpark and Databricks.
• Create multimodal machine learning models that combine image, text, metadata, and behavioural data to enhance forecasting and AI capabilities.
• Collaborate with Applied Scientists, Data Engineers, Product Managers, and business stakeholders to productionise innovative machine learning solutions.

YOUR KEY SKILLS

• Significant experience designing, deploying, and supporting machine learning systems in production environments.
• Strong Python software engineering expertise, including testing, code quality, and maintainable application development.
• Proven experience working with large-scale data processing technologies such as PySpark and Databricks.
• Strong background building end-to-end ML pipelines across the full machine learning lifecycle.
• Hands-on experience with deep learning frameworks including PyTorch, TensorFlow, or equivalent technologies.
• Experience with multimodal machine learning, embedding models, representation learning, or foundation models.
• Strong understanding of modern deep learning architectures, particularly Transformers and large-scale representation learning techniques.
• Experience working with distributed computing environments, large datasets, and scalable training or inference systems.
• Knowledge of cloud platforms and modern MLOps practices.
• Excellent communication skills with the ability to work effectively across technical and non-technical teams.
• Pragmatic approach to balancing engineering excellence with business outcomes.