At a Glance
- Tasks: Design and build cutting-edge AI systems that make a real-world impact.
- Company: A growing, data-focused organisation with a collaborative culture.
- Benefits: Salary up to £120,000, hybrid working, and opportunities for career progression.
- Other info: Work with modern tools in a dynamic environment.
- Why this job: Join a team driving innovation in AI and machine learning.
- Qualifications: Strong experience in AI solutions and proficiency in Python.
The predicted salary is between 80000 - 98000 £ per year.
This is an opportunity to join a growing, data-focused organisation that is investing heavily in AI to drive product innovation and business performance. You will play a key role in designing and building production AI systems, working in a collaborative environment where engineering quality and real-world impact are prioritised.
The Company
They are a scaling, data-led business with a strong focus on leveraging AI and machine learning to enhance their products and services. With a modern technology stack and a clear roadmap for growth, they are building out their AI capability to support increasingly complex use cases. The culture is collaborative, delivery-focused, and encourages ownership across engineering teams.
The Role
- Design and deploy production-grade AI and machine learning models
- Build and maintain scalable data and AI pipelines
- Work closely with data, engineering, and product teams to deliver impactful solutions
- Contribute to system architecture and engineering best practices
- Improve model performance, monitoring, and deployment processes
Your Skills and Experience
- Strong commercial experience building and deploying AI and machine learning solutions
- Advanced proficiency in Python and modern ML libraries and frameworks
- Experience working with cloud platforms and scalable data systems
- Understanding of MLOps, model lifecycle, and deployment best practices
- Ability to collaborate effectively in a cross-functional environment
What They Offer
- Salary up to £120,000
- Hybrid working in London, 3 days per week onsite
- Opportunity to work on high-impact AI initiatives
- Modern tooling and a strong engineering culture
- Clear progression as the team continues to grow
Senior AI Software Engineer in London employer: Harnham - Data & Analytics Recruitment
Join a dynamic and innovative company that prioritises collaboration and engineering excellence in the heart of London. With a strong commitment to employee growth, you will have the opportunity to work on high-impact AI projects while enjoying a hybrid work model that promotes work-life balance. The modern technology stack and supportive culture ensure that your contributions are valued and recognised as the company scales its AI capabilities.
Contact Details:
Harnham - Data & Analytics Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Software Engineer 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 - Data & Analytics Recruitment 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 - Data & Analytics Recruitment.
✨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 - Data & Analytics Recruitment.
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We think you need these skills to ace Senior AI Software Engineer 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 - Data & Analytics Recruitment.
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 - Data & Analytics Recruitment 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 - Data & Analytics Recruitment
✨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 - Data & Analytics Recruitment 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.
