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- Tasks: Develop and enhance AI solutions while shaping the future of AI at Advantage Finance.
- Company: Join Advantage Finance, a forward-thinking company prioritising AI in their growth strategy.
- Benefits: Enjoy a competitive salary, bonuses, extra holiday, and private medical insurance.
- Other info: Collaborate closely with cross-functional teams and enjoy excellent career growth opportunities.
- Why this job: Be a pioneer in AI, influencing outcomes and driving innovation in a dynamic environment.
- Qualifications: Experience in software development and ML systems, with strong Python skills.
The predicted salary is between 55000 - 65000 £ per year.
We are seeking a Senior AI Engineer to join Advantage Finance to both maintain and improve the existing Orion AI solutions, and build the next production AI solution at Advantage Finance. This is Advantage Finance’s first dedicated AI hire. Until now, the business has delivered AI capability with the support of an external consultant — this role is the step-change to bring that capability in-house and make AI a long-term, core function.
Key Responsibilities:
- Shape the foundations (ways of working, standards, tooling) that future AI hires will build on.
- Influence outcomes and help shape the AI roadmap.
- Work day-to-day with business stakeholders and partner closely with the engineering team to ship production systems.
- Deliver a new AI solution while keeping existing Orion solutions healthy.
- Own end-to-end delivery (data → model → app → monitoring).
- Translate business goals into an executable technical plan (scope, milestones, tradeoffs).
- Maintain and improve existing Orion AI solutions (reliability, evals, monitoring, safe releases).
- Design and deliver a new AI solution end-to-end (discovery → MVP → production rollout).
- Build/maintain evaluation and observability tooling (quality, drift, safety, performance).
- Partner with AF SMEs, engineering, security, and compliance to ship safely.
- Document and hand over systems for long-term operation.
- Upskill and enable the wider team in effective AI usage through pairing, lightweight training, and shared standards.
Required Experience:
- Experience building and shipping software; meaningful experience delivering ML/LLM systems to production.
- Strong Python + software engineering fundamentals (testing, code quality, CI/CD).
- Practical experience operating production systems on-prem or in a private cloud (Linux, containers, networking, monitoring/ops).
- Experience mentoring/enablement: helping other engineers and business stakeholders adopt new tooling and ways of working (especially AI-assisted development).
- Experience in financial services / regulated environments.
- Experience with data engineering pipelines and feature stores.
Benefits:
- Salary negotiable depending on experience.
- Company bonus scheme.
- Additional holiday leave.
- Life insurance.
- Private medical insurance.
- Referral programme.
- Sick pay.
- Wellness programme.
Protecting your privacy and the security of your data is paramount to us, please request a copy of our privacy notice to learn more about how we collect and use the personal data of applicants.
AI Engineer (Remote) employer: Advantage Finance
Contact Detail:
Advantage Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer (Remote)
✨Tip Number 1
Network like a pro! Reach out to current employees at Advantage Finance on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your AI knowledge and practical skills. Be ready to discuss how you've built and shipped AI solutions in the past. Show us your passion for AI and how you can contribute to our growth strategy!
✨Tip Number 3
Don’t just focus on technical skills; highlight your ability to work cross-functionally. We want to see how you can partner with product managers and other teams to deliver impactful AI solutions. Teamwork makes the dream work!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Advantage Finance.
We think you need these skills to ace AI Engineer (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the AI Engineer role. Highlight your experience with Python, ML/LLM systems, and any relevant projects you've worked on. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background aligns with our goals at Advantage Finance. Let us know what excites you about this opportunity!
Showcase Your Projects: If you've built or contributed to any AI solutions, make sure to mention them! Include links to your GitHub or any relevant portfolios. We love seeing practical examples of your work and how you approach problem-solving.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at Advantage Finance
✨Know Your AI Stuff
Make sure you brush up on your AI knowledge, especially around ML/LLM systems. Be ready to discuss your experience with building and shipping software, and how you've tackled challenges in production environments. This role is all about shaping the future of AI at Advantage Finance, so show them you’re the right fit!
✨Understand the Business Goals
Familiarise yourself with Advantage Finance's growth strategy and how AI plays a central role in it. Think about how you can translate business goals into technical plans. During the interview, be prepared to share ideas on how you would approach this partnership with the Product Manager.
✨Show Off Your Collaboration Skills
This position involves working closely with various teams, so highlight your experience in cross-functional collaboration. Share examples of how you've partnered with stakeholders or other engineers to deliver successful projects. They want to see that you can communicate effectively and work well in a team.
✨Prepare for Practical Scenarios
Expect to tackle some practical scenarios during the interview. Think about how you would maintain and improve existing AI solutions while also designing new ones. Be ready to discuss your approach to monitoring, safety, and performance, as well as how you would document and hand over systems for long-term operation.