At a Glance
- Tasks: Design and develop cutting-edge AI models to automate financial processes.
- Company: Join Xelix, a fast-paced scale-up transforming financial controls with AI.
- Benefits: Competitive salary, 27 days leave, hybrid work, and personal development budget.
- Other info: Collaborative culture with exciting team socials and growth opportunities.
- Why this job: Shape the future of AI while making a real impact in a dynamic environment.
- Qualifications: 2-5 years in ML/LLM, strong Python skills, and a passion for AI.
The predicted salary is between 55000 - 65000 £ per year.
At Xelix, we work with some of the world’s largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate - moving from manual processes to automated, intelligent workflows. Xelix is a fast-paced scale-up - things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively, whilst remaining profitable. We have over 100 talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun & we love to celebrate a milestone together.
In this role you’ll grow, be challenged and help shape the future of Xelix. If you’re excited about building something special with us, we’d love to hear from you.
We are now hiring for a Mid-Level AI Engineer to join our growing AI Engineering team. This role is an exciting opportunity to leverage state-of-the-art technology, including the latest LLMs and AI technologies, to power our tools and develop impactful new solutions for our customers.
What you'll be doing:
- Model Development: design, train, and evaluate end-to-end ML models - from preprocessing to deployment - working with text, vision, and tabular data.
- LLM & AI Systems: build and refine applications leveraging large language models, prompt engineering, and agentic frameworks to solve real-world business problems.
- Production Code: write clean, maintainable Python for AI/ML applications and collaborate with our back-end team to integrate seamlessly into the platform.
- Experimentation & Research: stay current with the latest AI/ML techniques, test new algorithms and tools, and improve upon existing approaches.
- Collaboration: work closely with product, data, and engineering teams to deliver high-impact, customer-facing features.
What you’ll bring:
- 2-5 years’ experience delivering ML or LLM-powered features to production, from data prep and model training to deployment and iteration.
- Strong Python skills for AI/ML applications - clean, well-tested code, version control best practice, and smooth integration with back-end systems.
- Hands-on experience with gradient-boosted models (e.g., XGBoost, LightGBM) and/or building LLM-powered systems (e.g. tool/function calling, prompt design, evals) for text-heavy tasks.
- Solid data skills: SQL, pandas, experiment tracking, and cloud deployment (AWS a plus).
- A passion for AI/ML, shown through personal projects, a well-maintained GitHub portfolio, blog posts, or contributions to the AI/ML community.
- Strong collaboration skills - able to work closely with engineers, product managers, and data teams to ship impactful features.
What we offer in return:
- Competitive salary of £65,000 to £75,000 depending on experience.
- 27 days of annual leave (including 3 days Christmas closing) which increases up to 3 days based on tenure, with the option to roll over, buy or sell up to 3 days.
- Hybrid working with two days a week from our dog-friendly Hoxton office.
- On-site gym and cycle to work scheme.
- Employee discount at over 100 retailers.
- Comprehensive private medical & dental cover with Vitality.
- Enhanced parental leave pay.
- Learning & development culture – £1,000 personal annual budget.
- We’re carbon‑neutral and are working towards ambitious carbon reduction goals.
- Lots of team socials & activities.
- Annual team retreat.
We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate!
This is a full-time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday.
Interview Process:
- Introductory Call – A short Teams conversation with a Talent Partner to discuss your background and the opportunity.
- Hiring Manager Interview – A 30–45 minute Teams meeting to explore your experience and fit for the team.
- Technical Task or Presentation – A role-relevant exercise to demonstrate your skills and approach.
- Final On-site Interview – An in-person meeting with our senior leadership team and co-founders at our office.
We strive to make the process clear, efficient, and respectful of your time.
AI Engineer in London employer: Xelix
Xelix is an exceptional employer that fosters a dynamic and collaborative work culture, perfect for those looking to excel in the fast-paced world of enterprise SaaS sales. With a competitive salary and hybrid working options, employees benefit from a supportive environment that encourages professional growth and development. Located in Greater London, Xelix offers unique opportunities to engage with industry leaders while building meaningful relationships and closing impactful deals.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in London
✨Tip Number 1
Get your networking game on! Connect with folks in the AI and tech scene, especially those who work at Xelix or similar companies. Attend meetups, webinars, or even just reach out on LinkedIn. You never know who might give you a heads-up about job openings or refer you directly!
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your best projects, especially those involving ML or LLMs. Make sure to include links to your GitHub and any relevant blogs. This is your chance to demonstrate your passion for AI/ML and how you can contribute to Xelix's mission.
✨Tip Number 3
Prepare for the interview process by brushing up on your technical skills. Practice coding challenges and be ready to discuss your past projects in detail. Remember, they want to see how you think and solve problems, so be ready to showcase your approach to model development and collaboration.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Xelix team. Don’t forget to tailor your application to highlight how your experience aligns with their needs – they love seeing candidates who take the time to connect the dots!
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Show Your Passion for AI/ML:When you're writing your application, let your enthusiasm for AI and machine learning shine through! Share any personal projects or contributions you've made to the community. This will help us see your genuine interest in the field.
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your relevant experience with ML models and Python coding. We want to see how your skills align with what we're looking for, so don’t be shy about showcasing your achievements!
Keep It Clear and Concise:We appreciate a well-structured application that gets straight to the point. Use bullet points where possible and avoid jargon unless it's relevant. This makes it easier for us to see your qualifications at a glance!
Apply Through Our Website:For the best chance of getting noticed, make sure you apply directly through our website. This helps us keep track of applications and ensures you’re considered for the role you’re excited about!
How to prepare for a job interview at Xelix
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest AI technologies and large language models. Brush up on your Python skills, especially for AI/ML applications, and be ready to discuss your experience with gradient-boosted models like XGBoost or LightGBM.
✨Showcase Your Projects
Bring along examples of your personal projects or contributions to the AI/ML community. A well-maintained GitHub portfolio can really set you apart, so make sure it’s up to date and highlights your best work.
✨Prepare for Collaboration Questions
Since collaboration is key at Xelix, think about past experiences where you worked closely with product managers, engineers, or data teams. Be ready to share specific examples that demonstrate your teamwork and communication skills.
✨Practice Problem-Solving
Expect a technical task or presentation during the interview process. Practice solving real-world business problems using AI/ML techniques, and be prepared to explain your thought process clearly and concisely.
