AI Engineer
At a glance
Mid-level AI Engineering role at Tsys. London · full-time · no salary stated · we estimate £77,500–£137,500.
Tsys has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Build, tune and deploy AI and foundation models for practical applications, then improve their performance
- Test emerging AI approaches through research, prototypes and proofs of concept
- Work with business and technology teams to find valuable AI use cases and turn them into delivered solutions
- Create agentic AI workflows, system blueprints and reusable development standards that fit existing infrastructure
- Build in security, compliance and observability, and oversee model monitoring and ongoing improvement
What you bring
- At least five years in AI, machine learning, data science or a related field
- Strong Python ability and hands-on work with PyTorch, TensorFlow or another listed framework
- Experience moving AI proofs of concept into production, including cloud deployment
- Knowledge of deep learning, NLP and LLMs, with experience in fine-tuning or domain-specific models, RAG and vector databases
Who this fits
This mid-level role suits a hands-on AI engineer who enjoys experimentation and taking ideas through to production. The role is based in London and is hybrid.
From the employer
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. Apply now to take your career global.