AI Engineer

Remote Worker LTD.; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Remote Worker LTD. is seeking an AI Engineer to join its AI Innovation & Technology team in the UK. You will build and deploy AI systems, prototype capabilities, and drive measurable business impact across payment tech.

You will work across Generative AI, Agentic AI, ML and LLMs, evaluating new capabilities, performing research, and collaborating with teams to identify high-value use cases.

Qualifications

• 5+ years of experience in AI, ML, DS or related fields.
• Strong Python skills with ML frameworks.
• Experience turning AI proof-of-concepts into production.
• Deep learning, NLP, LLM architectures knowledge.
• Experience deploying AI on cloud platforms.

Responsibilities

• Assess, design, build, optimize and deploy ML/AI models and foundational models.
• Research and evaluate emerging AI technologies; prototype and run proof-of-concepts.
• Collaborate with business and tech teams to identify high-value use cases.
• Drive innovation through experimentation and knowledge sharing.
• Define best practices and reusable patterns for AI development.
• Develop agentic AI workflows using orchestration frameworks like LangChain;
• Maintain AI system blueprints and ensure integration with existing infra.
• Ensure compliance, observability, and scalable deployment of AI solutions.
• Collaborate with engineering, product, and business teams to deliver AI opportunities.
• Stay at the forefront of AI advancements and autonomous agents.

Skills

Python

ML

NLP

LLMs

Cloud

Education

Advanced degree in AI

PhD in CS

Tools

PyTorch

TensorFlow

Hugging Face

LangChain

Job description

Ready to take your career global?

Make your mark at one of the biggest names in payments. We're looking for an AI Engineer to join our AI Innovation & Technology team. You'll work at the forefront of AI, exploring emerging technologies, rapidly prototyping new ideas, and transforming promising innovations into production-ready solutions that create measurable business impact.

This role is ideal for someone who enjoys combining deep technical expertise with experimentation and discovery. You'll continuously evaluate new AI capabilities, conduct research and proof of concepts, and help identify opportunities where AI can unlock new customer and business value. You'll work across Generative AI, Agentic AI, Machine Learning, and LLMs, helping deliver innovative capabilities that create real business value.

What you'll own

• Assess, Design, build, optimize and deploy ML/AI models, Foundational models for real-world applications
• Continuously research and evaluate emerging AI technologies, models, Prototype new AI capabilities, and run proof-of-concepts.
• Collaborate with business and technology teams to identify high-value use cases
• Drive a culture of innovation through experimentation, knowledge sharing, and continuous learning.
• Help define best practices, technical standards, and reusable patterns for AI development across the organization.
• Develop agentic AI workflows using orchestration frameworks such as LangChain, or similar
• Develop and maintain AI system blueprints, ensure integration with existing infrastructure, and optimize performance and scalability.
• Ensure compliance, observability, and scalability are embedded in design decisions. Drive best practices for AI model deployment, monitoring, and continual improvement.
• Ensure AI solutions comply with organizational security, ethical guidelines, and regulatory standards.
• Collaborate with engineering, product, and business teams to identify and deliver high-impact AI opportunities.
• Stay at the forefront of advancements in AI, foundation models, and autonomous agents.

What you'll bring

• 5+ years of experience in AI, Machine Learning, Data Science, or related fields.
• Strong Python skills and experience with frameworks such as PyTorch, TensorFlow, and Hugging Face.
• Experience taking AI proof-of-concepts from idea to production.
• Strong knowledge of deep learning, NLP, and LLM architectures and experience in fine-tuning LLMs or training domain-specific models, RAG, embeddings, and vector databases.
• Familiarity with agentic AI concepts and orchestration frameworks.
• Experience deploying AI solutions on cloud platforms such as Azure, AWS, or GCP.
• Strong problem-solving skills and a passion for innovation.
• Excellent communication and collaboration skills.
• A curious, hands‑on mindset with a desire to experiment, learn, and build.
• Experience with multimodal AI, AI governance, or MLOps.

Bonus Points

• Advanced degree in AI, Computer Science, Data Science, or related disciplines.
• Research, publications, patents, or open-source contributions in AI/ML.
• Knowledge of payments, fintech, or financial services.

About the team

Our inclusive and global teams win together every day. We're proud to have the best minds in the industry, who you can learn from as you grow your career. The people, the energy, the connections - it's unmatched. Come and be part of an ever-evolving company and get dynamic opportunities that go beyond borders.

What makes a Globalpayer?

Globalpayers think like a client, act like an owner and win as one team. We're curious and innovative - always finding better ways to deliver impact. We empower each other to make decisions, and it's our passion that drives excellence in everything we set out to do.

Does this sound like you? Then you sound like a Globalpayer.

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