Senior Machine Learning Engineer - Generative AI

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Senior Machine Learning Engineer - Generative AI, London

Client: Checkout.com

Location: London, United Kingdom

Job Category: -

EU work permit required: Yes

Job Reference: 29c18722fdc1

Job Views: 12

Posted: 28.04.2025

Expiry Date: 12.06.2025

Job Description:

As a Senior Machine Learning Engineer specialising in Large Language Models (LLMs), you will play a critical role in harnessing the power of advanced NLP technologies to drive innovation and efficiency across our enterprise. As part of Checkout.com’s AI centre of excellence, you will lead LLM-based solutions' design, development, and deployment, collaborating with cross-functional teams to deliver impactful AI-driven applications.

How you’ll make an impact:

• Research, scope, and validate use cases where LLMs can improve Checkout.com’s product features and business processes, in collaboration with product managers and engineers.
• Design, develop, and fine-tune LLMs for applications such as chatbots, virtual assistants, and text generation.
• Ensure proper processes and tools are in place for curating and preprocessing large datasets for training and evaluating LLMs, including strategies for data augmentation, labeling, and annotation.
• Support training programs and mentor others to increase AI fluency within the business, acting as a technical thought leader.
• Ensure LLM applications adhere to ethical standards and comply with relevant regulations.

Qualifications:

• Proven experience in developing and deploying LLM-based solutions in an enterprise environment at a senior/staff scientist level.
• Proficiency in Python and libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and spaCy. Strong understanding of LLM architectures (e.g., GPT, BERT, T5) and experience fine-tuning them.
• Experience with different model architectures and training techniques to optimize performance.
• Familiarity with prompt engineering techniques and frameworks like LangChain, LlamaIndex, or DSpy. Good understanding of LLM components like VectorDBs and document loaders.
• Strong analytical and problem-solving skills, capable of working with complex datasets.
• Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders.
• Ability to collaborate with diverse stakeholders to embed AI into workflows and products.

Added bonuses:

• Experience with conversational AI and chatbot development.
• Knowledge of ethical considerations and best practices in AI.
• Leadership or mentorship experience within a data science team.

Additional Information:

Apply without meeting all requirements: If you believe you are a good fit despite not meeting all listed requirements, please apply. We value passion and alignment with our mission and values.

Hybrid Working Model: Our offices are onsite 3 days a week (Tuesday-Thursday). We foster collaborative work environments and support flexible arrangements.

We believe in equal opportunities: We are committed to diversity and inclusion, welcoming applicants from all backgrounds and identities. We aim to create a supportive environment where everyone can thrive.

When you join us, you'll be empowered to unlock your potential. We encourage you to share how you can make a difference.

To support your success, please inform us if you need accommodations during the application or onboarding process.

Learn more about life at Checkout.com:

• Our Culture video: https://youtu.be/BEwnpHuadSw
• Careers page: https://www.checkout.com/careers
• LinkedIn Life: https://bit.ly/3OaoN1U
• Instagram: https://www.instagram.com/checkout_com/