AI Data Platform Lead in Manchester

AI Data Platform Lead in Manchester

Manchester Full-Time 81000 - 99000 £ / year (est.) Home office (partial)
R

At a Glance

  • Tasks: Lead the data platform for AI products in the payments industry.
  • Company: Join RedCompass Labs, a leader in payments modernization and AI solutions.
  • Benefits: Enjoy competitive pay, bonuses, health insurance, and generous holiday leave.
  • Other info: Collaborate with a global team of experts and access continuous learning opportunities.
  • Why this job: Make a real impact in global financial infrastructure and crime-fighting efforts.
  • Qualifications: Experience in building data platforms and managing technical teams required.

The predicted salary is between 81000 - 99000 £ per year.

Manchester UK, hybrid (60% office presence per year after onboarding period)

About RedCompass Labs: RedCompass Labs are payments experts focused exclusively on payments modernization. Over the last 23 years, RedCompass Labs has delivered 500+ projects across the world’s major payments schemes and platforms, including ISO 20022, SEPA, Swift, the Real-time Payments Network, and FedNow, ISO 20022 migrations, and FIS OPF, Finastra GPP, and ACI Worldwide. Its flagship Payments Expert Agent is an AI solution purpose-built for the full payments modernization software development lifecycle. Trained on decades of deep payments expertise and more than 30,000 curated documents, the agent is certified to SOC 2 Type II. RedCompass Labs supports clients from offices in London, Warsaw, Brussels, Miami, Boston, Toronto, and Pune.

Mission: Imagine reducing a 14-day financial analysis task to just 2 hours. At RedCompass Labs, we don't just imagine - we've built it. We're transforming the trillion-dollar payments industry through intelligent automation. At the heart of our mission is AnalystAccelerator.ai, our proprietary multi-agent AI platform built to accelerate complex analysis in global banking and compliance.

As a AI Data Platform Lead, you would:

  • Own the data platform and evaluation capability that determine how good our AI products actually are.
  • Own the ETL data platform that services and maintains our internal payments knowledgebase - ingestion, transformation, refresh, and quality.
  • Ensure a steady flow of accurate, real-time data into our knowledge stores.
  • Own AI agent and knowledge benchmarking - defining the strategy and building the implementation that measures agent and retrieval quality.
  • Develop infrastructure strategy and implementation for AI product deployment.
  • Develop observability of AI agent and knowledge usage - strategy and implementation.
  • Own the strategy to productionise internally trained LLMs - taking models from research into deployable form.
  • Lead our SRE and Observability team.

Candidate Profile: We’re seeking a hands-on technical leader who can set direction and build the thing themselves when it matters.

  • Track record building and owning production data platforms - ETL/ELT at scale, not just pipeline contributions.
  • Financial services experience, or experience with other highly regulated data sources.
  • Experience with RAG and knowledge retrieval systems, including how retrieval quality is measured and improved.
  • Hands-on with LLM and agent evaluation - benchmarking, eval harnesses, and regression testing of non-deterministic systems.
  • Python experience, and comfortable in an Azure-native environment.
  • Experience setting technical strategy and seeing it through to implementation - across data, infrastructure, and evaluation.
  • Experience line managing a technical team, including DevOps or platform engineers, with the judgement to know when to delegate and when to go hands-on.
  • Comfortable operating where the data is the product - you understand that knowledge quality determines whether the agent is trusted.

Bonus Qualifications:

  • Background in financial services, payments, or another regulated domain.
  • Experience productionising trained or fine-tuned models, including serving and monitoring.
  • Experience with data platforms deployed into client-controlled environments.
  • Data platform: Azure-native - Data Factory, Functions, storage, and orchestration tooling.
  • Retrieval & knowledge: RAG systems, vector and hybrid search, Azure AI Search, MCP servers.
  • Evaluation: benchmarking and eval frameworks for agent and retrieval quality.
  • Core: Python, Docker, GitHub Actions / Azure DevOps.

What We Offer:

  • Work with real purpose. At RedCompass Labs, your projects carry weight beyond the delivery plan. Our work sits at the intersection of global financial infrastructure and some of the most important crime-fighting efforts in the world.
  • This is technical leadership with a genuine reason to care. A place where your judgement is trusted.
  • A team that genuinely invests in its people. We are committed to your development - not just your output.
  • A global community of specialists. With colleagues across London, Warsaw, Brussels, Toronto, Pune, and Miami, you will work alongside some of the sharpest minds in payments.

Contract of employment with RedCompass Labs includes the following competitive benefits package:

  • Up to 10% of annual earnings as a personal performance bonus.
  • Life insurance.
  • Group Income Protection.
  • Health Insurance for you and your family.
  • Dental Insurance for you and your family.
  • Pension: the pension is currently 4% employer and 4% employee. You also have the option to increase your contributions to your private pension, if you wish.
  • 28 days annual holiday plus Public & Bank holidays.
  • 7 days of sick leave paid 100% per annum.

RedCompass Labs is committed to promoting and supporting a diverse and inclusive workplace, ensuring fair and equitable treatment for all. This fuels innovation and enables us to work better together with each other and for our clients.

AI Data Platform Lead in Manchester employer: RedCompass Labs

At RedCompass Labs, we pride ourselves on being a leading employer in the fintech sector, offering AI Engineers the opportunity to work on transformative projects that shape the future of payments. Our hybrid work model fosters a collaborative and inclusive culture, where your contributions are valued and you can grow alongside industry experts. With competitive benefits, including performance bonuses and comprehensive health coverage, we empower our employees to make a meaningful impact from day one.

R

Contact Details:

RedCompass Labs Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Data Platform Lead in Manchester

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 RedCompass Labs 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 RedCompass Labs.

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 RedCompass Labs.

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 RedCompass Labs 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 AI Data Platform Lead in Manchester

ETL/ELT at scale
Financial Services Experience
RAG and Knowledge Retrieval Systems
LLM and Agent Evaluation
Python
Azure-native Environment
Technical Strategy Implementation

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 RedCompass Labs.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at RedCompass Labs 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 RedCompass Labs

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 RedCompass Labs 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.