Python Developer β€” AI & Automation Innovator

Python Developer β€” AI & Automation Innovator

Full-Time 76545 - 93555 Β£ / year (est.) Home office (partial)
Jefferson Frank

At a Glance

  • Tasks: Build and enhance internal tools and AI-driven solutions with Python.
  • Company: Join a dynamic consultancy in London with a hybrid work model.
  • Benefits: Enjoy competitive pay, flexible working, and opportunities for growth.
  • Other info: Fast-paced environment with clear ownership and collaboration across teams.
  • Why this job: Make a real impact by driving efficiency through innovative AI projects.
  • Qualifications: Experience in Python development and a passion for automation.

The predicted salary is between 76545 - 93555 Β£ per year.

Jefferson Frank in London (Hybrid) is seeking a Python Developer to build, enhance and support internal tools, automations and AI-driven solutions.

You will own software from idea to implementation, partnering with stakeholders to deliver practical, scalable improvements that boost efficiency and user experience.

The role offers hands-on development across AI-enabled projects, collaboration with cross-functional teams, and clear ownership within a fast-moving consultancy environment.

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Python Developer β€” AI & Automation Innovator employer: Jefferson Frank

Join a leading UK manufacturing and supply-chain organisation that is at the forefront of digital transformation. With a strong commitment to employee development, you will have access to competitive salaries and opportunities to enhance your IT and Data management skills in a collaborative and dynamic work environment. Located in Surrey, this hybrid role offers the chance to engage with diverse stakeholders while contributing to innovative solutions that drive business success.

Jefferson Frank

Contact Details:

Jefferson Frank Recruitment Team

We think you need these skills to ace Python Developer β€” AI & Automation Innovator

Python
AI Development
Automation
Software Development
Stakeholder Engagement
Cross-Functional Collaboration
Scalability