Data Science Engineer

Picture More Ltd; City Of London; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A leading international organisation seeks a Data Science Engineer to join their London office. You will design, build, and deploy AI and data science solutions, ensuring they meet security and governance standards. The ideal candidate has hands-on experience with AI/ML solutions, strong Python skills, and familiarity with cloud platforms, particularly Azure. The company promotes a collaborative environment with global exposure, offering a hybrid working model and opportunities for professional growth.

Benefits

Hybrid working

Collaborative culture

Professional development opportunities

Qualifications

• Hands-on experience delivering AI/ML solutions into production environments.
• Strong knowledge of Python, ML frameworks, and cloud platforms (Azure preferred).
• Experience operationalising models using Azure ML, Databricks, MLflow.

Responsibilities

• Designing, building, and deploying AI and data science solutions end-to-end.
• Implementing MLOps foundations including CI/CD, automated testing and monitoring.
• Building generative AI features and developing clean, testable code.

Skills

Python

ML frameworks (PyTorch, TensorFlow)

Azure ML

Databricks

MLOps

Clean coding

Communication skills

Collaboration

Job 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

• 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