Machine Learning & AI Engineering Lead

Machine Learning & AI Engineering Lead

Full-Time 74787 - 91407 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead the design and deployment of cutting-edge AI solutions for customer experiences.
  • Company: Join Lloyds Banking Group, a leader in AI-powered banking innovation.
  • Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
  • Other info: Inclusive culture focused on diversity and making a real difference.
  • Why this job: Shape the future of banking with impactful AI technologies and collaborative teams.
  • Qualifications: Deep experience in ML solutions and strong Python engineering skills required.

The predicted salary is between 74787 - 91407 £ per year.

The Intelligent Customer Products (ICP) platform is a new CDO platform within Consumer Relationships. It builds and scales capabilities including Conversational AI, AI Search, CoachAI and Super Agent to deliver trusted, personalised and effortless AI-powered customer experiences. ICP helps Lloyds create proactive, intelligent customer interactions that drive growth, improve customer satisfaction and reduce cost to serve, underpinned by the standards, governance and operational foundations needed to deploy AI safely at enterprise scale.

The Machine Learning & AI Engineering Lead is a senior technical leadership role within the Intelligent Customer Products (ICP) Platform, responsible for shaping and delivering AI-powered customer experiences across Lloyds Banking Group. The role will lead the design, engineering and industrialisation of machine learning, generative AI and agentic AI solutions that power strategic capabilities such as Conversational AI, AI Search and personalised customer engagement. Drawing on strong expertise in AI engineering, cloud platforms and software delivery, the successful candidate will provide technical leadership, influence platform strategy, and mentor multidisciplinary teams to deliver secure, scalable and responsible AI solutions that create measurable value for customers and the Group.

Responsibilities

  • Lead the design, development and deployment of machine learning, LLM and Agentic AI solutions across the ICP Platform.
  • Evaluate emerging AI technologies and drive adoption where they create measurable customer and business value.
  • Establish engineering standards, patterns and reusable components for AI and ML solutions.
  • Own the end-to-end AI delivery lifecycle from experimentation and prototyping through to production deployment and monitoring.
  • Drive industrialisation of AI capabilities using MLOps and LLMOps practices.
  • Ensure solutions meet performance, resilience, security and regulatory requirements.
  • Partner with platform engineering teams to integrate AI capabilities into enterprise services and customer journeys.
  • Build and govern foundation model, LLM, RAG and agentic AI solutions, including orchestration, automation, performance, evaluation and operations.
  • Collaborate across Product, Architecture, Engineering, Data Science and business teams to translate outcomes into scalable AI/ML solutions and influence senior stakeholders.
  • Ensure AI solutions meet Responsible AI, model risk, governance, explainability, fairness, monitoring, auditability, security and compliance requirements throughout the lifecycle.
  • Lead, coach and build AI engineering capability through mentoring, knowledge sharing and an inclusive, high-performing culture.

What we’re looking for?

  • Deep experience designing, deploying, operating and optimising production-grade ML solutions at enterprise scale, including MLOps, monitoring and lifecycle management.
  • Significant hands-on experience building foundation model and LLM applications, including RAG, vector search, agentic workflows, prompt engineering, evaluation, safety and responsible operational trade-offs.
  • Strong Python software engineering background, with experience building scalable APIs, microservices and cloud-native AI applications in regulated enterprise environments using sound architecture, CI/CD and engineering practices.
  • Strong experience delivering scalable, secure and cost-effective AI solutions on Google Cloud Platform, including Vertex AI, BigQuery, Kubernetes and cloud-native architecture patterns.
  • Proven ability to lead multidisciplinary engineering teams, influence senior stakeholders, coach talent and communicate complex technical concepts clearly to technical and non-technical audiences.

Join ICP and help build the future of AI-powered banking! You'll work on market-leading AI products, solve meaningful customer problems at scale, and collaborate with talented product, engineering and data teams to create intelligent experiences that customers trust and value!

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'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.

Machine Learning & AI Engineering Lead employer: Lloyds Bank plc

Lloyds Banking Group is an exceptional employer, offering a dynamic work environment in Cardiff that fosters professional growth and collaboration. With a competitive salary package, generous benefits including a robust pension scheme and flexible working options, employees are empowered to thrive both personally and professionally. The company prioritises inclusivity and well-being, ensuring that all team members can achieve their full potential while making a meaningful impact in the SME banking sector.

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Contact Details:

Lloyds Bank plc Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Machine Learning & AI Engineering Lead

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 Lloyds Bank plc 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 Lloyds Bank plc.

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 Lloyds Bank plc.

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 Lloyds Bank plc 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 Machine Learning & AI Engineering Lead

Machine Learning
Generative AI
Conversational AI
AI Search
Python Software Engineering
MLOps
LLMOps

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 Lloyds Bank plc.

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

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 Lloyds Bank plc 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.