Machine Learning Engineer
Posted Today by XpertDirect
Negotiable
Undetermined
Remote
London Area, United Kingdom
Summary: The Machine Learning Engineer role is a remote position for a fast-growing AI scale-up based in London, UK. The engineer will be responsible for developing, deploying, and optimizing machine learning models for customer-facing products. Collaboration with data scientists, software engineers, and product teams is essential to deliver innovative AI-driven features. The position requires a strong background in machine learning engineering with a focus on production-ready solutions.
Key Responsibilities:
- Develop, deploy, and optimize machine learning models for customer-facing products.
- Collaborate with data scientists, software engineers, and product teams.
- Build production-ready ML solutions and improve model performance.
- Support the delivery of innovative AI-driven features.
Key Skills:
- Proficiency in Python, PyTorch, TensorFlow, and MLOps.
- Experience with AWS or GCP.
- 4+ years in Machine Learning Engineering.
- Experience deploying machine learning models into production environments.
- Strong understanding of model training, evaluation, and optimization techniques.
- LLM or Generative AI experience (nice to have).
- Feature engineering and model monitoring (nice to have).
- Experience with Kubernetes and containerization technologies (nice to have).
- Experience with real-time inference systems (nice to have).
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Machine Learning Engineer Remote (Company based in London, UK) Initial 6 Months Contract AI | SaaS | Data Products
For one of our clients, a fast-growing AI scale-up based in London, we are looking for a Machine Learning Engineer to help develop, deploy, and optimise machine learning models powering intelligent customer-facing products used at scale. You will work alongside data scientists, software engineers, and product teams to build production-ready ML solutions, improve model performance, and support the delivery of innovative AI-driven features.
Key Technical Requirements
- Python
- PyTorch
- TensorFlow
- MLOps
- AWS or GCP
Experience Required
- 4+ years in Machine Learning Engineering
- Experience deploying machine learning models into production environments
- Experience working with large-scale datasets and data pipelines
- Strong understanding of model training, evaluation, and optimisation techniques
Nice to Have
- LLM or Generative AI experience
- Feature engineering and model monitoring
- Kubernetes and containerisation technologies
- Experience with real-time inference systems