At a Glance
- Tasks: Design and optimise machine learning models for user personalisation and data pipeline engineering.
- Company: Leading AI company in West London with a hybrid work culture.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with exciting projects and career advancement opportunities.
- Why this job: Join a team at the forefront of AI innovation and make a real impact.
- Qualifications: Expertise in machine learning lifecycle and proficiency in Python and ML frameworks.
The predicted salary is between 70000 - 90000 £ per year.
What you’ll be doing
- Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis.
- Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets.
- Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance.
- Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement.
- Cross‑Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs.
- Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems.
What you’ll bring
- Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance.
- Proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch).
- Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (e.g., TensorFlow Serving, Triton, TorchServe).
- Experience with high-volume data processing and real‑time streaming architectures.
- Strong understanding of recommendation system design and personalisation algorithms.
- Familiarity with Generative AI and its applications in production settings.
- Good communication and analytical problem‑solving skills.
Good to have
- Experience working on OTT platforms
- Experience in Scala
Senior AI Engineer in London employer: Dormont Manufacturing Co
Join a forward-thinking company in West London that champions innovation and collaboration, offering a hybrid work model that promotes work-life balance. As a Senior AI Engineer, you'll thrive in a dynamic environment where your expertise will directly influence user personalisation strategies, while benefiting from continuous professional development opportunities and a culture that values creativity and teamwork.
We think you need these skills to ace Senior AI Engineer in London
Machine Learning Model Development
Recommendation Engines
Ranking Algorithms
User Segmentation
Content Analysis
Data Pipeline Engineering
Feature Engineering
