Data & ML Platform Lead
Lloyds Banking Group is hiring a Data & ML Platform Lead. It pays £107k-£126k a year and Level rates it ; you can apply on Level.
AI in this role
Lead the platform engineering team building core data pipelines, streaming infrastructure, and machine learning capabilities for a financial services business.
End Date
Monday 02 November 2026Salary Range
£107,304 - £126,240We support flexible working – click here for more information on flexible working options
Flexible Working Options
Hybrid WorkingJob Description Summary
.Job Description
JOB TITLE: Data & ML Platform Lead
SALARY: £107,304 - £126,240
LOCATION: London
HOURS: Full-Time
WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites. Colleagues with disabilities can be supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy.
What you’ll be doing…
As a Data & ML Platform Lead, you will lead the team responsible for building and operating the infrastructure at the core of Curve’s business. You’ll own the platform supporting streaming and batch data ingestion, reverse-ETL, real-time decisioning for fraud and financial crime, and the ML and agentic AI capabilities increasingly used across the organisation. This is a hands-on platform engineering role where you’ll lead and develop a multidisciplinary team while remaining closely involved in the most complex architectural challenges. You’ll own the design and reliability of Kafka-based decisioning services, data pipelines, orchestration, feature stores and underlying cloud infrastructure, ensuring the platform operates to bank-grade standards of reliability, auditability and scale as Curve integrates into Lloyds Banking Group.
Why Join us?
If you think all banks are the same, you’re wrong. We’re a pioneering, fast-changing business that’s shaping finance as a force for good. If you’re after a role where you can have an impact and do the best work of your career, you’ve just found it
What we’re looking for?
- Significant experience in data engineering, platform engineering or similar roles, including experience leading or providing sustained technical leadership to engineers
- Deep production experience with streaming technologies, ideally Kafka, and event-driven architectures operating at scale
- Proven experience designing and operating production systems on GCP, including technologies such as BigQuery, Managed Airflow, Cloud Run and Dataflow, or equivalent cloud infrastructure
- Strong programming ability in Python and experience with at least one systems language, ideally Go
- Experience building and operating real-time services as well as batch and streaming data pipelines
- Experience with Terraform, Kubernetes and infrastructure as code
- Strong experience operating orchestration platforms such as Airflow reliably in production
- Experience deploying and operating ML systems in production, including feature stores, model serving or ML-driven decisioning systems
- Experience designing reliable, observable platforms with clear SLAs, monitoring, alerting, load testing and capacity planning
- Strong understanding of operating technology within regulated environments, including audit trails, control evidencing, change governance and production systems with compliance implications
- Experience designing safe deployment approaches including feature flags, shadow modes, staged rollouts and reversible releases
- A track record of automating manual operational processes and building systems that are scalable, reliable and maintainable
- Strong leadership skills with the ability to set technical direction, delegate effectively and develop engineers into owners of the systems they operate
And it would be great if you had any of the following...
- Experience building or operating LLM and agentic AI workflows in production
- Experience within financial crime, fraud, credit or risk decisioning environments
- Experience integrating technology platforms with large banking organisations or banking vendor ecosystems
- Hands-on experience with Feast
- Experience with Snowplow
- Experience supporting dbt from a platform or enablement perspective
- Experience with load-testing frameworks for data-intensive systems
- Experience within fintech, financial services, payments or retail banking
- Experience building real-time decisioning systems with regulatory or financial consequences
- Experience supporting high-volume transaction platforms as they scale
This is a place for you…
Our ambition is to be the leading UK business for diversity, equity and inclusion, supporting our customers, colleagues and communities. We are committed to creating an environment in which everyone can thrive, learn and develop.
We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and launch a dedicated Working with Cancer initiative. We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. As a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role and have a disability, long-term health or neurodivergent condition, through the Disability Confident Scheme.
We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers - just let us know what you need.
We also offer a wide-ranging benefits package, which includes…
- A generous pension contribution of up to 15%
- An annual bonus award, subject to Group performance
- Share schemes including free shares
- Benefits you can adapt to your lifestyle, such as discounted shopping
- 30 days’ holiday, with bank holidays on top
- A range of wellbeing initiatives and generous parental leave policies
Ready for a career where you’ll learn and thrive? Apply today and find out more.
At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop.
We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person.
We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we’re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.
How we rate this
Data & ML Platform Lead at Lloyds Banking Group rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where platform engineering was part of your work. What did you do?
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where mlops was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where cloud infrastructure was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Platform Engineering, Data Engineering, MLOps, Distributed Systems, and Cloud Infrastructure. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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