At a Glance
- Tasks: Lead the development of AI tools to boost productivity and automate business processes.
- Company: Join a forward-thinking tech company in Manchester with a hybrid work culture.
- Benefits: Enjoy a generous pension, annual bonuses, 30 days' holiday, and flexible benefits.
- Other info: Embrace a dynamic environment with strong support for diverse needs and career growth.
- Why this job: Make a real impact in the AI field while collaborating with top engineers.
- Qualifications: Experience with GenAI, agentic coding, and a knack for problem-solving.
The predicted salary is between 70000 - 90000 £ per year.
LOCATION: Manchester
HOURS: Full-time - 35 hours
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...
We're seeking Lead Engineers to join a new AI Productivity Lab focused on accelerating employee productivity and business process automation through cutting‑edge agentic co‑working technologies. This is a hands‑on engineering role building domain‑specific agents and tools, working alongside Principal Engineers and the Head of the Lab to rapidly prototype, iterate and embed solutions into real business processes. The role involves contributing to reusable knowledge assets, integrating secure, enterprise‑grade solutions, and supporting adoption by collaborating with business teams to embed agentic working into day‑to‑day operations. Operating within the Data & AI Unit of the Chief Technology Office, the Lab plays a central role in shaping and scaling AI‑driven capabilities, combining modern agentic engineering practices with strong discipline around quality, security and usability.
What we're looking for?
- Demonstrable experience deploying technology solutions in complex environments and supporting production operations
- Hands‑on experience using GenAI and Agentic AI technology to solve real‑world problems
- Familiarity with agentic coding and/or coworking tools (e.g. GitHub Copilot, Claude Code, Cursor) and an ability to learn new tools quickly
- Working knowledge of operational and AI risk considerations in regulated environments, including reliability, security, safety and explainability
- Ability to collaborate in high‑performing teams, communicate clearly and contribute to shared reusable assets
This is a place for you...
We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. And, as a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role with a disability, long‑term health or neurodivergent condition through the Disability Confident Scheme.
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
Lead Engineer - AI Productivity Lab in Manchester employer: Lloyds Banking Group
Join our innovative team in Manchester as a Lead Engineer in the AI Productivity Lab, where we prioritise employee well-being and professional growth. With a hybrid working model, generous benefits including a 15% pension contribution, 30 days of holiday, and a commitment to inclusivity through our Disability Confident Leader status, we foster a collaborative and supportive work culture that empowers you to thrive in cutting-edge technology projects.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Engineer - AI Productivity Lab in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving GenAI and Agentic AI tech. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI productivity and engineering. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll be one step closer to joining our awesome team in the AI Productivity Lab!
We think you need these skills to ace Lead Engineer - AI Productivity Lab in Manchester
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Lead Engineer role. Highlight your experience with GenAI and Agentic AI technologies, as well as any hands-on projects that showcase your skills in deploying tech solutions in complex environments.
Showcase Collaboration Skills:We love team players! In your application, emphasise your ability to work in high-performing teams and how you've contributed to shared reusable assets. Mention specific examples where you’ve collaborated effectively with others.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use straightforward language to explain your experience and skills, making it easy for us to see why you’d be a great fit for our AI Productivity Lab.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Lloyds Banking Group
✨Know Your Tech Inside Out
Make sure you’re well-versed in GenAI and Agentic AI technologies. Brush up on your hands-on experience with tools like GitHub Copilot and Claude Code, as you might be asked to discuss how you've used them to solve real-world problems.
✨Showcase Your Collaboration Skills
This role is all about teamwork, so be ready to share examples of how you've successfully collaborated in high-performing teams. Highlight your communication skills and how you’ve contributed to shared reusable assets in past projects.
✨Understand the Risks
Familiarise yourself with operational and AI risk considerations, especially in regulated environments. Be prepared to discuss reliability, security, safety, and explainability, as these are crucial for the role.
✨Embrace the Hybrid Work Style
Since the position involves a hybrid working pattern, think about how you can effectively manage your time between the office and remote work. Be ready to discuss your approach to maintaining productivity and collaboration in this setup.
