Data Science Engineer
| Job Type | Permanent |
| Location | London |
| Area | City of London, UK |
| Sector | Information Technology - Development |
| Salary | £80,000 - £86,000 |
| Currency | GBP |
| Start Date | |
| Advertiser | Business Services |
| Telephone | 01273808822 |
| Job Ref | 44990-DS |
- Description
Data Science Engineer
Are you ready to bring cutting-edge AI and data science engineering into a global, high-calibre professional services environment?A leading international organisation is looking for a Data Science Engineer to join its London technology function. You will help design, build, and deploy production-ready AI and advanced analytics solutions that directly support business strategy. This role suits someone who thrives on end-to-end ownership, enjoys collaborating with data scientists and IT engineers, and wants to see their work make a measurable impact.
What’s in it for you
- £80,000 to £86,000 base salary
- Hybrid working with three days in the London office
- Work with advanced AI platforms including Azure ML, Azure OpenAI, Databricks, MLflow and LangChain
- Global exposure and the opportunity to work with senior stakeholders across time zones
- A collaborative, supportive culture that encourages innovation and professional development
What you will be doing
- Designing, building, and deploying AI and data science solutions end-to-end
- Implementing MLOps foundations including CI/CD, automated testing, monitoring, drift detection and model versioning
- Building generative AI features such as RAG pipelines, embeddings, and AI agents
- Developing clean, testable code and APIs using modern engineering practices
- Ensuring technical delivery aligns with security, governance, architecture and enterprise standards
- Evaluating and piloting new technologies to enhance scalability, reliability and performance
What you will bring
- Hands-on experience delivering AI/ML solutions into production environments
- Strong knowledge of Python, ML frameworks (PyTorch, TensorFlow), and cloud platforms (Azure preferred)
- Experience operationalising models using tools such as Azure ML, Databricks, MLflow
- Understanding of data engineering, data governance, and lakehouse architectures
- Excellent communication skills with the ability to simplify complex concepts for non-technical stakeholders
- A proactive, collaborative mindset and the ability to work in a diverse, global team
If you are motivated by solving complex problems and building responsible, scalable AI at enterprise level, this is a standout opportunity.
Ready to take the next step? Apply today, and let’s have a confidential conversation about the role.
Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive workplace where all employees feel valued and respected. We encourage applications from candidates of all backgrounds.
Data Science Engineer – London – Permanent