Senior AI Engineer in London

Senior AI Engineer in London

London Full-Time 80000 - 100000 £ / year (est.) Home office (partial)
Hyperlayer

At a Glance

  • Tasks: Build AI infrastructure for the future of payments and create smart, automated features.
  • Company: Join Hyperlayer, a pioneering fintech company transforming how money moves.
  • Benefits: Enjoy competitive salary, 25 days leave, health insurance, and a vibrant office culture.
  • Other info: Collaborative environment with opportunities for mentorship and career growth.
  • Why this job: Shape the future of AI in finance and make a real impact with your ideas.
  • Qualifications: 5-6 years in AI/ML, strong Python skills, and a creative mindset.

The predicted salary is between 80000 - 100000 £ per year.

About Hyperlayer

Hyperlayer is the intelligent banking platform built for the agentic economy: the financial control layer that sits above banks' existing cores, enabling next-generation Smart Accounts, without ripping anything out.

From a single integration, we give financial institutions a secure rules and orchestration engine that lets them design, launch and scale hyper-personalized products in weeks while preserving stability, compliance and control.

And there’s nothing like us anywhere in the world.

Hyperlayer works with Tier 1 and Tier 2 FIs across the UK, US, EMEA and Hong Kong, with an award‑winning UK consumer app (Hyper Jar) sitting in the group.

We’re creating the fintech category that every bank in the world needs: programmable, governed, agent‑ready accounts.

Your job is to make sure our audiences know that.

  • Team
  • Engineering
  • Location
  • Paddington, London
  • Employment status
  • Full-time, Permanent
  • Reporting to
  • Head of AI
  • Working week
  • Monday-Friday
  • We're Growing Our AI Team

Hyperlayer is on a mission to reinvent how people and businesses move money, and we need a Senior AI Engineer with big ideas to help us make it happen.

This isn’t just about writing code; it’s about building the AI infrastructure for the future of payments.

You’ll dive into projects like real‑time conversational AI, agentic commerce, and next‑gen personalisation.

If you love solving hard problems and turning wild ideas into reality, you’ll fit right in.

  • Build AI‑powered features for our platform: think smart interfaces, agent‑driven commerce, and automation that feels effortless.
  • Collaborate with product and engineering teams to weave AI into payment flows and customer journeys.
  • Act as second in command to the Head of AI, taking greater technical ownership across the team's work.
  • Mentor junior engineers, supporting their technical growth and development.
  • Experiment with cutting‑edge tech (LLMs, real‑time APIs, multimodal AI) and turn prototypes into production.
  • Participate in system level design and architecture decisions with your peers.
  • Make sure our AI systems scale, stay reliable, remain secure, and meet financial regulation objectives.
  • Push boundaries, prototype fast, learn fast, and help define what’s next.
  • Shape the future of AI at Hyperlayer—your ideas will influence the roadmap.
  • You Should Apply If You Have
  • 5-6 years’ experience building and deploying AI/ML deployment models with the controls expected in regulated industries.
  • Solid Python and SQL skills and experience with LLM frameworks like Lang Chain.
  • Experience in prompt and context engineering for LLMs.
  • Comfort with cloud platforms (AWS mainly, GCP is a plus) and container tech (Docker, Kubernetes).
  • Experience with APIs, real‑time systems, or streaming architectures.
  • Understanding of ML concepts and hands‑on work with LLMs or generative AI.
  • A data‑driven mindset - love digging into numbers and turning insights into action.
  • A creative streak and the ability to imagine what doesn’t exist yet.
  • Strong communication and collaboration skills.
  • Curiosity and a love for experimentation and research, always exploring what’s next in AI.
  • Bonus Points For
  • Experience with compiled languages, particularly Go
  • Knowledge of evaluation frameworks and fine‑tuning techniques.
  • Familiarity with agent and agentic commerce protocols (Agent-to-Agent, Model Context Protocol, Agent-to-Payments).
  • Multimodal interactions over Web RTC (Live Kit or similar).
  • Familiarity with frameworks like Open AI’s GPT-4V or Google’s Gemini Live multimodal capabilities.
  • Experience with vector databases (e. g., Pinecone, Qdrant) for RAG pipelines.
  • Understanding of security and privacy in AI workflows (encryption, anonymization, compliance).
  • Awareness of bias detection and safety considerations in AI systems.

We will not be offering UK work visa sponsorship for these roles. Candidates will need an existing non-sponsored right to work in the UK.

Working at Hyperlayer

At Hyperlayer we are proud of our in‑office culture.

It makes a real difference to the working atmosphere and maximises collaboration in and across teams.

This is critical to how we work and learn.

Also, we think it makes for a great workplace!

We value our team and are proud to offer some great benefits

  • A performance‑based employee bonus scheme.
  • 25 days annual leave plus bank holidays, a day off on your birthday, and an additional day per year of tenure to a maximum of 30.
  • Critical illness and life insurance cover.
  • AXA PPP Health Insurance, including gym offers.
  • Cycle‑to‑work scheme.
  • Referral bonus scheme.
  • Workplace Nursery Scheme
  • Equity, diversity, and inclusion

Hyperlayer’s mission is to make a positive impact on people’s lives, making it easier for everyone to manage their money.

Hyperlayer’s commitment to equity, diversity, and inclusion is a key part of this; it helps us better serve our customers, employees, and business partners from every background.

We are constantly learning and striving to do better, and we expect all staff to actively take part in this process.

Data Privacy

As part of our recruitment process, Hyperlayer Limited collects and processes personal data relating to job applicants.

We are committed to being transparent about how we collect and use this data and to meeting our data protection obligations. To read more clickhere.

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Senior AI Engineer in London employer: Hyperlayer

At Hyperlayer, we pride ourselves on fostering a dynamic work culture that values innovation and collaboration. As a Platform Engineering Manager in London, you'll benefit from a supportive environment that encourages professional growth and offers opportunities for hands-on leadership. Our commitment to employee development, coupled with our focus on delivering high-quality software, makes us an exceptional employer for those seeking meaningful and rewarding careers.

Hyperlayer

Contact Details:

Hyperlayer Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior AI Engineer in London

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Hyperlayer or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Hyperlayer.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Hyperlayer.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Hyperlayer that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Senior AI Engineer in London

AI/ML Deployment Models
Python
SQL
LLM Frameworks (e.g., LangChain)
Prompt Engineering
Cloud Platforms (AWS, GCP)
Container Technology (Docker, Kubernetes)

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Hyperlayer.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Hyperlayer and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Hyperlayer

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Hyperlayer uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.