At a Glance
- Tasks: Design and deploy scalable machine learning systems for innovative AI products.
- Company: Leading tech firm in Central London with a focus on AI and machine learning.
- Benefits: Negotiable salary, hybrid working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Join a dynamic team and shape the future of AI with your skills.
- Qualifications: Experience in machine learning, Python, and large-scale data processing required.
The predicted salary is between 63000 - 77000 £ per year.
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 Py Spark 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 Py Spark and Databricks.
- Strong background building end-to-end ML pipelines across the full machine learning lifecycle.
- Hands-on experience with deep learning frameworks including Py Torch, Tensor Flow, 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.
- #J-18808-Ljbffr
Senior ML Engineer employer: C4S Search Ltd
C4S Search Ltd offers an exceptional work environment for the Group Management Accountant role, characterised by a collaborative culture that values innovation and professional growth. Employees benefit from comprehensive training programmes, flexible working arrangements, and the opportunity to engage with diverse teams across multiple sites, making it an ideal place for those seeking meaningful and rewarding employment in finance.
We think you need these skills to ace Senior ML Engineer
Machine Learning Systems Design
End-to-End ML Pipelines
Data Preparation
Experimentation
Training and Evaluation
Deployment and Monitoring
Optimisation
