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# Lead Machine Learning Engineer

- **Company:** Capgemini
- **Location:** London, UK (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Code Review, Data Cleansing, Python (Programming Language), Machine Learning, Scripting, Feature Engineering, Pytorch, Large Language Models, Prompt Engineering, Generative AI, Keras, Git, Information Technology, HuggingFace, Machine Learning Operations, Api Design, Artificial Intelligence Markup Language (AIML), Software Version Control, Docker
- **Published:** May 28, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=28c1c6234b7fd097

## About the Role

Do you have a Master's degree?, * Handson experience with at least one major machine learning framework PyTorch TensorFlow Keras

 * Familiarity with LLMs prompt engineering and finetuning e.g. LoRA QLoRA
 * Exposure to RAG systems and basic knowledge of hybrid search techniques
 * Understanding of model deployment and containerization Docker
 * Proficiency in Python for AI development data preprocessing and scripting
 * Experience with generative AI tools LangChain Hugging Face LlamaIndex is a plus
 * Understanding of version control systems Git
 * Awareness of AI compliance data privacy and responsible AI principles
*
Required Soft Skills
Strong teamwork and communication abilities

 * Willingness to learn new AIML technologies and frameworks
 * Analytical mindset and attention to detail
 * Openness to feedback and continuous improvement
*, bachelor's degree or master's degree in computer science data science AI or a related field

 * 3to5 years of professional experience in AIML development with exposure to Generative AI
 * Experience delivering AIML projects in a collaborative setting
 * Exposure to cloud based AIML environments AWS GCP or Azure is a plus

## Description

We are looking for a skilled Generative AI Developer to join our Controls Technology team and contribute to the development and integration of innovative generative AI solutions In this role youll work closely with senior developers AI architects and business stakeholders to deliver impactful AIdriven features and products.
Hybrid working:
The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.
Your Role:

 * Implement and finetune generative AI models under the guidance of senior team members
 * Contribute to prompt engineering and development of Ai powered workflows
 * Assist with the deployment monitoring and maintenance of AI models in production environments
 * Collaborate with data scientists and engineers to ensure seamless integration of AI capabilities
 * Perform data preprocessing feature engineering and API development for AI applications
 * Participate in code reviews testing and documentation to ensure quality and reliability
 * Stay updated with advancements in GenAI and share relevant learnings with the team


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