At a Glance
- Tasks: Lead the design and delivery of impactful AI solutions in a collaborative environment.
- Company: Established tech organisation investing heavily in AI and automation.
- Benefits: Competitive salary, hybrid work model, and opportunities for career progression.
- Other info: Join a rapidly expanding AI function with excellent growth opportunities.
- Why this job: Shape AI strategy and make a real impact on innovative projects from day one.
- Qualifications: Strong experience in delivering GenAI solutions and leading AI projects.
The predicted salary is between 65000 - 80000 £ per year.
London (Hybrid, 1 day per week) | Up to £110,000 + 15% Bonus
This is an exciting opportunity for a Lead AI Engineer to join a business making significant investment in AI and automation.
You will play a pivotal role in shaping AI strategy, leading the delivery of production-grade Gen AI solutions, and driving innovation across multiple high-impact business areas.
With strong executive backing and a growing pipeline of AI initiatives, this role offers genuine influence and ownership from day one.
The Company
They are a well-established, technology-driven organisation operating at scale within a highly regulated environment.
As part of a wider digital transformation programme, they are investing heavily in AI, automation, and advanced data capabilities to improve customer experiences and operational efficiency.
Their AI function is expanding rapidly, with multiple Gen AI and machine learning initiatives moving from concept into production.
You will join a collaborative team where technical expertise is valued, decisions are made pragmatically, and innovation is closely aligned to measurable business outcomes.
The Role
As a Lead AI Engineer, you will be responsible for leading the design, development, and deployment of AI solutions that deliver real business value.
Responsibilities include
- Owning end-to-end delivery of AI and Gen AI solutions from discovery through to production.
- Leading architecture decisions and providing technical direction across multiple AI initiatives.
- Building scalable, secure, and reliable AI applications within an enterprise environment.
- Driving build versus buy evaluations and recommending appropriate technologies.
- Delivering solutions including retrieval-augmented generation (RAG), agentic AI, automation, and intelligent decision-support tools.
- Working closely with engineering, security, governance, and business stakeholders.
- Navigating complex and ambiguous problem spaces to identify practical AI opportunities.
- Providing technical leadership, guidance, and mentoring within the AI engineering function.
- Contributing to the wider AI strategy and future direction of the capability.
- Your Skills & Experience
- Strong commercial experience delivering Gen AI solutions into production environments.
- Proven ability to lead AI projects from concept through deployment and operational management.
- Excellent software engineering fundamentals and experience building scalable applications.
- Experience making architecture and technology decisions within enterprise organisations.
- Strong knowledge of modern AI engineering practices, including LLMs, RAG, agentic workflows, and MLOps concepts.
- Experience working with cloud platforms, ideally AWS.
- Ability to balance innovation with risk, governance, and operational requirements.
- Strong stakeholder management and communication skills.
- Experience within financial services or other regulated environments would be beneficial.
- Demonstrable experience operating at Lead Engineer, Technical Lead, or equivalent level.
- What They Offer
- Hybrid working model with flexibility and a strong focus on outcomes.
- Opportunity to influence AI strategy within a growing and highly visible function.
- Exposure to a broad portfolio of AI transformation initiatives.
- Career progression within an expanding AI and engineering capability.
- Autonomy, ownership, and the opportunity to deliver meaningful business impact at scale.
How to Apply
If you are a Lead AI Engineer with proven experience delivering production-ready Gen AI solutions and want to play a key role in shaping the future of AI within a large-scale organisation, please apply today.
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Lead AI Engineer 199268 in London employer: Harnham
Join a leading UK-based media organisation at the forefront of digital transformation, where your role as Director of Streaming Product and Growth will be pivotal in shaping the future of their subscription services. With a strong emphasis on innovation and a collaborative work culture, you'll have access to significant growth opportunities, competitive salary packages, and a performance-based bonus structure, all while working in a dynamic environment that values data-driven decision making and customer-centric strategies.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer 199268 in London
✨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 Harnham 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 Harnham.
✨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 Harnham.
✨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 Harnham 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 Lead AI Engineer 199268 in London
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 Harnham.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Harnham 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 Harnham
✨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 Harnham 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.
