Data Science Engineer

Job Title: Engineer: Data Science
Location: London (Hybrid - 2 days WFH)
Term: Permanent
Hours: 9:30am-5:30pm (flexible based on business needs)

Overview:
We are seeking an experienced Engineer: Data Science to join a high-performing technology function. This role focuses on the design, development, and delivery of advanced analytics, machine learning, and AI solutions that support large-scale business operations. You will work alongside data scientists, engineers, and cross-functional teams to build reliable, scalable, production-ready solutions within a modern cloud environment.

This is an exciting opportunity for someone passionate about AI engineering, MLOps, and emerging technologies who wants to deliver impactful solutions in a complex, global environment.

Key Responsibilities:

Solution Delivery

• Design, build, test, deploy, and support end-to-end data science and AI solutions.

• Operationalise ML models using CI/CD pipelines, automated testing, and monitoring.

• Apply MLOps practices such as versioning, retraining, and drift detection.

• Deliver scalable solutions using Azure ML, Databricks, MLflow, and similar platforms.

• Implement generative AI and advanced analytics features including embeddings, retrieval-augmented generation (RAG), AI agents, and conversational AI tools.

• Write clean, well-documented, testable code following modern engineering practices.

Technical Design & Architecture

• Ensure all solutions comply with security, governance, and architectural standards.

• Work closely with architects, data teams, and key stakeholders to validate approaches.

• Support ongoing life cycle management including monitoring, optimisation, and continuous improvement.

• Evaluate and pilot emerging technologies to enhance scalability and solution quality.

Qualifications:

• Bachelor's degree in Computer Science, Data Science, or a related field (Master's preferred).

• Preferred certifications:

  • Azure AI Engineer Associate

  • Azure Data Scientist Associate

  • Databricks ML or equivalent cloud ML certifications

Experience & Skills:

• 2-4 years' hands-on experience delivering ML/AI solutions into production.

• Experience with cloud platforms such as Azure, AWS, or GCP.

• Strong understanding of data lakehouse architectures, CI/CD, and containerisation (Docker/Kubernetes).

• Proficiency with modern ML and AI frameworks including PyTorch, TensorFlow, LangChain, and enterprise AI platforms.

• Practical experience with LLMs, embeddings, RAG, and AI agent/chatbot development.

• Ability to write production-grade Python code and build APIs.

• Strong communication skills with the ability to present technical concepts clearly.

• Ability to manage multiple priorities in a fast-paced environment.

Personal Attributes:

• Self-starter with strong ownership and initiative.

• Excellent problem-solving and analytical thinking.

• Highly detail-oriented with strong organisational skills.

• Collaborative team player comfortable working in cross-functional environments.

• Customer-focused mindset with a commitment to high-quality delivery.

Why Apply:
This role offers the opportunity to work with cutting-edge technologies, drive innovation, and deliver solutions that directly contribute to business transformation and data-driven decision-making.