Head of Data and AI Engineering in London
Head of Data and AI Engineering

Head of Data and AI Engineering in London

London Full-Time 43200 - 72000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead the development of cloud-native data platforms and AI automation at Cynergy Bank.
  • Company: Join Cynergy Bank, the UK's innovative human digital bank.
  • Benefits: Enjoy a competitive salary, hybrid working, and comprehensive benefits.
  • Why this job: Make a real impact on banking through cutting-edge technology and leadership.
  • Qualifications: Proven leadership in data or AI engineering with strong technical skills.
  • Other info: Dynamic work culture focused on growth, flexibility, and employee wellbeing.

The predicted salary is between 43200 - 72000 ÂŁ per year.

Shape the future of Data & AI at Cynergy Bank. Join us and make a real impact by helping ambitious businesses and individuals achieve their goals through our award-winning human digital banking model.

What’s the opportunity? We’re looking for a Head of Data and AI Engineering to lead one of our core engineering pillars and drive the delivery of cloud‑native data platforms and AI‑powered automation across the bank. This is a high‑impact leadership role at the centre of our technology transformation, responsible for building the data and AI capabilities that underpin our award‑winning human digital banking model.

In this role, you will lead the teams that build and operate our data pipelines, analytics platforms, and AI‑driven automation on Google Cloud. You will be accountable for delivering a portfolio of data and AI initiatives, with a strong emphasis on execution, engineering quality, and measurable outcomes. A key part of your remit will be to embed AI into real banking processes, enabling intelligent workflows, decision support, and natural language–based interactions using Gemini and other large language models. You will also shape the engineering standards and practices that govern data engineering, MLOps, and LLMOps across the organisation. You will report to the Director of Engineering and work closely with Architecture, Risk, Compliance, Information Security, and operational teams to ensure the responsible, secure, and compliant deployment of AI throughout the bank.

Where You will Work: You will enjoy hybrid working, with 3 days in our London office and 2 days from home.

Why Join Us? We know the best people want more than just a job. At Cynergy Bank, you will find:

  • Impact: Lead a core engineering pillar delivering platforms and automation that directly influence customer experience, operational performance, and strategic decision‑making.
  • Growth: A culture that champions curiosity, innovation, and personal growth at every stage.
  • Flexibility: A culture that values work-life balance, supported by our hybrid working model.
  • Rewards: Recognition for your skills and contribution, including annual bonus opportunities and a comprehensive benefits package.

How You Will Make an Impact:

  • Build and operate cloud‑native data platforms on Google Cloud, centred on BigQuery.
  • Deliver secure, scalable batch and real‑time pipelines using Dataflow, Pub/Sub, Cloud Storage, and associated GCP services.
  • Drive the adoption of LLM‑powered automation and Gemini‑based solutions across the bank.
  • Implement MLOps and LLMOps best practices on Google Cloud.
  • Embed engineering standards for data quality, monitoring, automation, security, and resiliency.
  • Develop and mentor a team of data and AI engineers, fostering a strong engineering culture.
  • Work closely with partners across the bank to ensure responsible, compliant use of AI technologies.

What You Will Bring:

  • Proven leadership experience in data engineering or AI engineering teams.
  • Strong background as a senior software or data engineer prior to moving into leadership.
  • Deep hands‑on experience with Python (or Go/Java/Scala).
  • Demonstrated success delivering cloud‑native data or AI platforms in production.
  • Extensive experience with Google Cloud Platform, particularly BigQuery, Dataflow, Pub/Sub, and Vertex AI.
  • Experience building automation using LLMs such as Gemini or equivalent.
  • Knowledge of orchestration and transformation tools such as Airflow/Cloud Composer and dbt/SQL‑based frameworks.
  • Strong understanding of data governance, security controls, and regulatory requirements in financial services.
  • Excellent communication and stakeholder engagement skills.

How We Will Support You: At Cynergy Bank, we are committed to your wellbeing and success. We know everyone’s needs are different, so our benefits are designed to support you at every stage of your career and life. Here is a snapshot of what we offer:

  • A salary and bonus package designed to recognise your skills and contribution.
  • 25 – 30 days holiday (with the option to buy 10 more).
  • Award‑winning pension savings scheme.
  • Healthcare, life assurance, and income protection.
  • Hybrid working (3 days office, 2 from home).
  • Training and development opportunities.
  • Plus, a range of extras including lifestyle discounts, recognition awards, and volunteering initiatives, all designed to keep you supported and thriving.

Who Are We? Cynergy Bank is the UK’s human digital bank, combining personal service with smart technology to help ambitious businesses and individuals achieve their goals. We know that professional and personal lives often overlap, so our mission is to support customers in all their interdependent banking needs. Since 2018, we have lent over £4bn to scaling businesses and partnered with leading firms to deliver the future of banking. Named Bank of the Year 2025 by MoneyAge, we are recognised for our commitment to customers, innovation, and tailored solutions. This award reflects our team’s dedication to delivering exceptional banking experiences, powered by cutting‑edge technology.

Our values shape everything we do: Putting the customer first, Risk front and centre, Opportunity, empowerment and innovation, United team inclusive and diverse, and Doing the right thing. These principles guide our decisions, drive our culture, and ensure the best outcomes for our customers and colleagues.

This advert covers the main responsibilities and requirements. A full job description will be shared with shortlisted candidates. If you don’t meet every requirement, we still encourage you to apply as we value potential as much as experience. At Cynergy Bank, we use anonymous screening at the first stage of recruitment, ensuring every application is reviewed fairly, based on skills and experience alone. The closing date for applications is Tuesday 24 February 2026. Please note, we may close the advert early if we receive a high volume of applications. Apply now to help shape the future of human digital banking at Cynergy Bank.

Head of Data and AI Engineering in London employer: Cynergy Bank Limited

At Cynergy Bank, we pride ourselves on being an exceptional employer that fosters a culture of innovation, personal growth, and work-life balance. As the Head of Data and AI Engineering, you will lead impactful projects in a hybrid working environment, supported by a comprehensive benefits package and opportunities for professional development. Join us in shaping the future of human digital banking while enjoying a rewarding career in the heart of London.
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Contact Detail:

Cynergy Bank Limited Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Head of Data and AI Engineering in London

✨Tip Number 1

Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.

✨Tip Number 2

Prepare for interviews by researching the company and its culture. Tailor your answers to show how your experience aligns with their goals, especially in data and AI engineering.

✨Tip Number 3

Showcase your skills through projects or a portfolio. If you’ve built any data platforms or AI solutions, make sure to highlight them during your discussions.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people at Cynergy Bank.

We think you need these skills to ace Head of Data and AI Engineering in London

Leadership
Data Engineering
AI Engineering
Cloud-Native Data Platforms
Google Cloud Platform
BigQuery
Dataflow
Pub/Sub
MLOps
LLMOps
Python
Automation using LLMs
Data Governance
Security Controls
Stakeholder Engagement

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Head of Data and AI Engineering role. Highlight your leadership experience and technical expertise in data engineering and AI, as this is what we’re really looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data and AI, and how you can make an impact at Cynergy Bank. Be sure to mention specific projects or achievements that demonstrate your capabilities.

Showcase Your Technical Skills: Don’t forget to highlight your hands-on experience with Google Cloud and relevant programming languages like Python. We want to see how you’ve successfully delivered cloud-native data platforms or AI solutions in the past!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the details about the role and our amazing benefits there!

How to prepare for a job interview at Cynergy Bank Limited

✨Know Your Tech Inside Out

Make sure you’re well-versed in the technologies mentioned in the job description, especially Google Cloud services like BigQuery and Dataflow. Brush up on your Python skills and be ready to discuss how you've used these tools in past projects.

✨Showcase Leadership Experience

Prepare examples that highlight your leadership experience in data or AI engineering teams. Think about specific challenges you faced, how you motivated your team, and the measurable outcomes of your initiatives.

✨Understand the Banking Landscape

Familiarise yourself with the financial services sector, particularly around data governance and regulatory requirements. Being able to discuss how you can ensure compliance while driving innovation will set you apart.

✨Engage with Stakeholders

Be ready to talk about your communication skills and how you’ve engaged with various stakeholders in previous roles. Prepare to discuss how you would collaborate with teams across the bank to implement AI responsibly.

Head of Data and AI Engineering in London
Cynergy Bank Limited
Location: London

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