Senior AI/ML Python Engineer

Experis - ManpowerGroup; Greater London; On-site; GBP 138,375 - 151,290; Full time

Job summary

Experis - ManpowerGroup in London is seeking a Software Engineer (AI/ML Python) to join the hybrid team. You will build and enhance the Python backend powering AI/ML driven solutions, deploy cloud infrastructure, and integrate AI components with data and compute resources.

You will write clean code with automated tests and participate in code reviews. The role requires strong Python skills, experience in testing, and familiarity with cloud-native deployments and infrastructure as code.

Qualifications

• Strong Python skills and production-ready code delivery.
• Experience with unit testing, e.g. pytest.
• Confidence with cloud-native systems and cloud deployments.
• Practical experience with infrastructure as code (Terraform).
• Comfort with Agile environments and modern development practices (git/GitHub).
• Continuous learning and curiosity in the craft.

Responsibilities

• Build and improve the backend of a Python web application for AI/ML solutions.
• Define, deploy and manage infrastructure in a cloud environment.
• Integrate AI/ML components with frontend, data, and compute infra for end-to-end value.
• Write high-quality, well-documented, well-tested software with automated tests.
• Measure and monitor key metrics, iterate to improve performance and reliability.
• Participate in code reviews and raise engineering standards across the team.
• Collaborate with data engineers to build end-to-end data pipelines.

Skills

Python

Unit testing

Cloud platforms

GitHub

CI/CD

Agile

AI/ML familiarity

Data pipelines

Tools

Docker

pytest

Terraform

Job description

Software Engineer (AI/ML Python)

Location: Hybrid London 2 days a week

Inside IR35: £750.00 - £820.00

Imagine building advanced software that helps develop novel therapies-and adapts quickly as diseases emerge and change. Our Client is hiring a Software Engineer to join its AI/ML team, where ownership, collaboration and continuous development aren't just values on paper-they're how you'll work day to day.

What you'll be doing:

• Build and improve the back end of a Python web application that supports AI/ML-driven solutions
• Define, deploy and manage infrastructure within a cloud environment
• Integrate AI/ML components with frontend, data, and compute infrastructure to create end-to-end value
• Write quality, well-documented, well-tested software-supported by automated test suites
• Develop, measure and monitor key metrics for tools and services, then iterate to improve performance and reliability
• Take part in code reviews and raise engineering standards across the team
• Collaborate with data engineers and other technical teams to build an end-to-end pipeline consuming data products

What you'll bring:

• Strong Python skills, with a track record of shipping quality production code
• Experience with unit testing (e.g. pytest) and a mindset of building for reliability
• Confidence working with cloud-native systems and deploying to cloud platforms for real user populations
• Practical experience with infrastructure as code (e.g. Terraform)
• Comfort working in agile environments and following modern, disciplined development practices (e.g. git/GitHub)
• A continuous learning approach-staying curious, iterating, and improving your craft over time
• Passion for solving problems that can support new and existing therapies

Additional information:

• Experience with Python backend frameworks such as FastAPI is a plus
• Background or exposure to biological/scientific data (e.g. genomics, transcriptomics, proteomics) or pharmaceutical work is beneficial
• Knowledge of AI/ML deployment-especially language models, NLP or agent-based approaches-is a strong advantage
• Experience with Docker/containerised applications (including multi-container architecture) is desirable
• Mentoring/coaching and technical leadership experience is strongly valued