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 £ / 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 human digital bank, recognised for innovation and customer commitment.
  • Benefits: Enjoy a competitive salary, hybrid working, generous holiday, and comprehensive benefits.
  • Why this job: Make a real impact on banking by shaping the future of data and AI.
  • Qualifications: Proven leadership in data or AI engineering with strong technical skills.
  • Other info: Be part of a culture that values curiosity, innovation, and personal growth.

The predicted salary is between 43200 - 72000 £ 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?

  • 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:

  • 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 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

Cynergy Bank is an exceptional employer that fosters a culture of innovation, personal growth, and work-life balance, making it an ideal place for professionals in Data and AI Engineering. With a hybrid working model, comprehensive benefits, and a commitment to employee development, you will have the opportunity to lead impactful projects while being recognised for your contributions. Join us in shaping the future of human digital banking in London, where your expertise will directly influence customer experiences and operational excellence.
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Contact Detail:

Cynergy Bank 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 folks in your industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.

✨Tip Number 2

Prepare for those interviews! Research Cynergy Bank and its values, and think about how your experience aligns with their mission. Show them you’re not just another candidate.

✨Tip Number 3

Practice makes perfect! Do mock interviews with friends or use online platforms. The more comfortable you are, the better you'll perform when it counts.

✨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. Plus, it shows you’re genuinely interested in joining us.

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

Leadership
Data Engineering
AI Engineering
Cloud-Native Platforms
Google Cloud Platform
BigQuery
Dataflow
Pub/Sub
MLOps
LLMOps
Python
Automation
Data Governance
Communication Skills
Stakeholder Engagement

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Head of Data and AI Engineering role. Highlight your leadership experience and technical skills, especially with Google Cloud and AI technologies. We want to see how your background aligns with our mission at Cynergy Bank!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and AI in banking. Share specific examples of how you've led teams or projects that align with our goals. Let us know why you want to join Cynergy Bank!

Showcase Your Achievements: When detailing your experience, focus on measurable outcomes. Did you improve efficiency or drive significant results in your previous roles? We love numbers and success stories, so make sure to include them in your application!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Cynergy Bank!

How to prepare for a job interview at Cynergy Bank

✨Know Your Tech Inside Out

As a Head of Data and AI Engineering, you’ll need to demonstrate your deep understanding of cloud-native platforms, especially Google Cloud services like BigQuery and Dataflow. Brush up on your technical knowledge and be ready to discuss specific projects where you've successfully implemented these technologies.

✨Showcase Leadership Experience

This role is all about leadership, so prepare to share examples of how you've built and mentored teams in the past. Highlight your experience in fostering an engineering culture and driving successful data initiatives, as this will resonate well with the interviewers.

✨Align with Company Values

Cynergy Bank values customer-first approaches and innovation. Be sure to articulate how your personal values align with theirs. Share instances where you’ve put customers at the forefront of your decisions or driven innovative solutions that made a real impact.

✨Prepare for Scenario-Based Questions

Expect scenario-based questions that assess your problem-solving skills and decision-making processes. Think about challenges you've faced in previous roles, particularly around data governance and compliance, and be ready to discuss how you navigated those situations.

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

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