At a Glance
- Tasks: Refine AI prompts, run ML experiments, and connect APIs in a collaborative environment.
- Company: Join Santander UK, a tech-driven, inclusive employer with a global presence.
- Benefits: Competitive salary, health programmes, family support, and career growth opportunities.
- Other info: Embrace a culture of innovation and risk-taking in a dynamic workplace.
- Why this job: Make a real impact in AI while working with cutting-edge technology and diverse teams.
- Qualifications: 1-5 years in Data Science, ML, or software development; strong Python skills required.
The predicted salary is between 50000 - 70000 € per year.
This job is with Santander UK, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community.
Santander is evolving from being a high-impact global brand to a technology-driven organisation, with people at the centre of this journey. Together, we are leading a customer-centric transformation that values disruptive thinking, the courage to challenge the possible, and the ability to innovate. This is more than a strategic change: it is an opportunity to grow, learn, and make a real impact. Our mission is to help more people and businesses prosper. We embrace a strong risk culture and expect all our teams to take a proactive and responsible approach to risk management.
Santander is looking for an AI Engineer in CDMX or Querétaro. We are redefining our way of working through innovation, cutting-edge technology, collaboration, and the freedom to explore new ideas.
Your main responsibilities will include:
- Tuning prompts and extraction logic so that a pipeline processes complex documents more accurately, and building the test sets that demonstrate this.
- Implementing tools, parsers, validators, and orchestration modules within larger agent systems.
- Running ML experiments, comparing approaches, documenting results, and building reproducible benchmarks.
- Connecting APIs, moving data between systems, writing tests, and ensuring that the pieces fit in production.
- Implementing components of ML and Gen AI solutions under the guidance of more experienced engineers.
Our people are our greatest strength. Each person contributes unique perspectives that make us stronger as a team and as an organisation. We value who they are and empower what they bring.
The following requirements represent the essential knowledge, skills, and competencies for this position:
- 1 to 5 years of professional experience in Data Science, ML, AI, or data-oriented software development.
- Education in Engineering, Mathematics, Physics, Actuarial Science, Computer Science, Statistics, or related fields.
- Technical skills in machine learning & statistics.
- Understanding of fundamental concepts of supervised and unsupervised learning, cross-validation, and evaluation metrics.
- Familiarity with LLMs, embeddings, prompting, and basic RAG concepts.
- Ability to build simple flows with LLMs: structured prompts, API calls to models, parsing responses.
- Functional Python: clean, readable, and testable code.
- Basic SQL knowledge.
- Version control (Git), basic testing, project structure.
- Willingness to evolve from notebooks to modular and productive code.
Your contribution matters, and we recognise it. At Santander, you can expect a fair and competitive compensation package that reflects your impact and the value you will deliver. We offer more than just a salary: our benefits are designed to support your life, goals, and well-being, today and in the future.
Your health is our priority. Through BeHealthy, our global wellness programme, we promote the overall well-being of our teams. We know that family is the most important thing. That’s why we offer support in childcare and family programmes tailored to each stage of life. We encourage our teams to go further through growth opportunities, international mobility, and broad career paths. We believe in the power of helping: you can dedicate part of your workday to volunteering. We are here to keep you motivated, help you achieve your goals, and celebrate your achievements every step of the way.
Santander is proud to be an equal opportunity organisation regardless of age, gender, disability, marital status, race, religion, or sexual orientation. We are committed to providing an inclusive and accessible selection process for all individuals.
If everything you have read resonates with you, apply and join our team. Ready to take the next step?
AI Engineer employer: Santander UK
Santander UK is an exceptional employer that prioritises inclusivity and innovation, making it a fantastic place for an AI Engineer to thrive. With a strong commitment to employee well-being, competitive benefits, and opportunities for international mobility, Santander fosters a collaborative work culture where every team member's unique perspective is valued. Join us in a dynamic environment that encourages personal growth and impactful contributions to the community.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Santander. A friendly chat can sometimes lead to job opportunities that aren't even advertised!
✨Tip Number 2
Prepare for those interviews! Research common AI Engineer interview questions and practice your answers. We want you to feel confident showcasing your skills and experiences when it’s your turn to shine.
✨Tip Number 3
Show off your projects! If you've worked on any cool AI or ML projects, make sure to highlight them during your conversations. This is your chance to demonstrate your hands-on experience and passion for the field.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in being part of the Santander team.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Engineer role. Highlight relevant experience in Data Science, ML, and AI, and don’t forget to showcase your Python skills and any projects you've worked on that relate to machine learning.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your unique background makes you a great fit for Santander. Keep it concise but impactful!
Showcase Your Projects:If you've got any cool projects or experiments you've run, make sure to mention them! Whether it's a personal project or something from work, showing off your hands-on experience can really set you apart.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status directly!
How to prepare for a job interview at Santander UK
✨Know Your AI Fundamentals
Brush up on your machine learning and AI concepts, especially supervised and unsupervised learning. Be ready to discuss how you’ve applied these in past projects, as Santander values practical experience.
✨Showcase Your Coding Skills
Prepare to demonstrate your Python coding abilities. Bring examples of clean, readable code you've written, and be ready to explain your thought process behind it. Familiarity with Git and SQL will also be a plus!
✨Understand the Role of APIs
Since the job involves connecting APIs and moving data between systems, make sure you can talk about your experience with APIs. Have a couple of examples ready where you successfully integrated different systems.
✨Emphasise Team Collaboration
Santander values diverse perspectives, so highlight your experience working in multicultural teams. Share specific instances where collaboration led to innovative solutions or improved project outcomes.