At a Glance
- Tasks: Lead the development of advanced AI systems and shape AI strategy.
- Company: Rapidly growing, data-driven organisation focused on AI innovation.
- Benefits: Salary up to £170,000, strong ownership, and progression opportunities.
- Other info: Access to modern AI tooling and infrastructure.
- Why this job: Make a real impact in a collaborative, high-performance engineering culture.
- Qualifications: Expertise in Python, AI/ML solutions, and cloud platforms required.
The predicted salary is between 130000 - 170000 £ per year.
A high-impact opportunity to lead the development of advanced AI systems in a fast-scaling, product-led environment. This role offers significant technical ownership, the chance to shape AI strategy, and exposure to cutting-edge technologies at scale.
The Company
They are a rapidly growing, data-driven organisation placing AI at the core of their innovation strategy. With a strong engineering culture and clear investment in modern infrastructure, they are building intelligent products that deliver real commercial value. Teams are empowered, collaborative, and focused on delivering measurable impact.
The Role
- Design and deploy production-grade AI and machine learning systems
- Lead the development of scalable models and architectures
- Drive best practices across MLOps, experimentation, and deployment
- Collaborate with data, engineering, and product teams
- Influence technical direction and AI strategy
Your Skills & Experience
- Strong commercial experience building and deploying AI and ML solutions
- Expertise in Python and modern machine learning frameworks
- Experience with cloud platforms and scalable data systems
- Solid understanding of MLOps and model lifecycle management
- Ability to operate autonomously and influence technical decisions
What They Offer
- Salary up to £170,000
- Strong technical ownership and progression opportunities
- Access to modern AI tooling and infrastructure
- Collaborative, high-performance engineering culture
Principal AI Software Engineer in Slough employer: Harnham
As a Principal AI Software Engineer at this rapidly growing, data-driven organisation in London, you will thrive in a collaborative and high-performance engineering culture that prioritises innovation and technical ownership. With access to cutting-edge AI tooling and infrastructure, you will have significant opportunities for professional growth while contributing to impactful projects that deliver real commercial value. The hybrid work model further enhances work-life balance, making this an excellent employer for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Principal AI Software Engineer in Slough
✨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 Principal AI Software Engineer in Slough
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.
