Applied AI Engineer

Closing date for applications: 12/06/2026

Location London, United Kingdom

Job typePermanent | Contract typeFull Time

Remote / On-site Hybrid

You’ll spend some of your time at home, working with your team digitally. You’ll also regularly work at your office or hub to collaborate with your colleagues.

Managerial / Technical Lead

This is a general indication and doesn’t always reflect day-to-day responsibilities. Check the job description for full details.

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Join our digital revolution in NatWest Digital X

In everything we do, we work to one aim. To make digital experiences which are effortless and secure.

So we organise ourselves around three principles: engineer, protect, and operate. We engineer simple solutions, we protect our customers, and we operate smarter.

Job description

This role is based in the United Kingdom and as such all normal working days must be carried out in the United Kingdom.

Join us as an Applied AI Engineer

• Step into a full-stack engineering role where you’ll design, fine-tune, and integrate generative AI (GenAI) models into scalable, production-grade systems
• You’ll drive improvements across the GenAI platform and shared tooling, accelerating how the bank builds, deploys and scales AI solutions
• You’ll work at the forefront of GenAI engineering, applying emerging techniques to build innovative systems that push the boundaries of what’s possible

What you’ll do

As our Applied AI Engineer, you’ll design, build, and productionise cutting edge GenAI solutions within the bank. You’ll take end-to-end ownership, from selecting the right architecture and approach through to delivering robust, secure, and scalable systems that operate reliably in production environments.

You’ll engineer advanced retrieval‑augmented generation, agentic, and orchestration systems over enterprise data, making informed decisions on patterns, tools, and trade‑offs. Alongside this, you’ll develop and optimise training, fine‑tuning, and inference pipelines, so our solutions are performant, cost‑efficient, and production‑ready. You’ll also apply the latest machine learning (ML) advancements to design and deploy innovative algorithms and models, so research turns into practical, real‑world capabilities that drive meaningful impact across the organisation.

Your work will focus on:

• Building data tooling and infrastructure for multimodal datasets at scale, including text, documents, and audio and visual data, to support robust GenAI use cases
• Deploying solutions through the bank's CI/CD, security, and change-control frameworks, so systems are compliant and resilient
• Monitoring and maintaining production models, tracking drift, latency, cost, and failure, and leading incident response for stability and performance
• Implementing controls for model risk, data governance, and regulatory requirements, embedding these into live systems to support safe AI deployment
• Producing high-quality documentation of research and development outcomes for transparency, knowledge sharing, and alignment with ethical and regulatory standards

The skills you'll need

Be the hands-on GenAI engineer who can design, build and scale real-world solutions with strong engineering discipline, delivering measurable impact in real-world systems. To succeed in this role, you’ll bring strong software and ML engineering experience in production environments, with the ability to design practical GenAI solutions from complex business problems.

You’ll be highly proficient in Python and modern ML frameworks such as PyTorch or TensorFlow, with hands‑on experience building and operating training and inference pipelines. You’ll also demonstrate strong engineering discipline, applying best practices in testing, observability, scalability and security to deliver reliable systems.

You’ll need:

• A strong understanding of GenAI architectures from a systems perspective, enabling you to design robust and efficient solutions
• Experience deploying and operating ML systems in cloud or regulated environments
• The ability to collaborate effectively across teams, working closely with scientists, product and platform partners to deliver end‑to‑end solutions
• Familiarity with vector databases, retrieval systems and embedding pipelines
• Experience operating GenAI systems at scale, applying LLMOps or MLOps principles to deliver high‑performance solutions

Your benefits breakdown

Here’s a quick look at what your pay package and annual leave could look like if you get accepted for the role. We have a wide range of benefits to support you in your working life and beyond.

Tap each segment for details.

Your pay package

80% Base pay This is the part your your pay package that you take home every month.

10% Pension funding 10% of your salary goes towards your pension every month.

10% Benefit funding 10% of your salary goes towards a range of benefits you can choose from.

Your leave allowance

30 days Annual leave You’ll also have the opportunity to purchase up to 5 additional days off.

3 days Volunteering Take time off to support the causes you’re passionate about.

3 days Training Take time to build the skills you need to grow your career.

Total rewards package

Welcome to our Bishopsgate hub

Based only a few minutes’ walk from Liverpool Street Station, the central location of this office makes working there incredibly convenient. Everything you need is close by, so you can run errands, go to the gym, and socialise with friends and colleagues before and after work.

Bishopsgate recently underwent a multi-year refurbishment programme to improve spaces and facilities as well as become more sustainable.