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- Tasks: Develop and enhance AI solutions while collaborating with stakeholders to deliver impactful systems.
- Company: Join Advantage Finance, a forward-thinking company prioritising AI in its growth strategy.
- Benefits: Competitive salary, bonuses, additional leave, private medical insurance, and wellness programmes.
- Other info: Dynamic role with high ownership and opportunities for professional growth.
- Why this job: Be the first dedicated AI engineer and shape the future of AI at Advantage Finance.
- Qualifications: Experience in software development and delivering ML/LLM systems to production.
The predicted salary is between 55000 - 65000 £ per year.
Location: Grimsby (Hybrid Working available)
Salary: £55,000+ dependent on experience, plus bonuses of 17.5% OTE
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. You will work closely with Advantage Finance stakeholders to translate business problems into production-ready systems with rapid, measurable impact.
What makes this role unique (and why it’s exciting)
- This is Advantage Finance’s first dedicated AI hire.
- First-mover impact: shape the foundations (ways of working, standards, tooling) that future AI hires will build on.
- Strategic importance: AI is viewed as central to the company’s growth strategy, with this role forming the basis for further investment.
- High ownership: influence outcomes and help shape the AI roadmap.
- Cross-functional exposure: work day-to-day with business stakeholders and partner closely with the engineering team to ship production systems.
- Paired delivery model: you will be partnered with a Product Manager who will lead the AI project; you’ll be the technical counterpart, shaping solution design, feasibility, delivery approach, and production readiness.
- Production-first: build, harden, and operate systems in a regulated environment.
- Greenfield + stewardship: deliver a new AI solution while keeping existing Orion solutions healthy.
Who this role is for
- A pragmatic builder who ships and iterates in production.
- A strong communicator who can run discovery and manage tradeoffs with stakeholders.
- An engineer comfortable owning end-to-end delivery (data → model → app → monitoring).
Core responsibilities
- Partner closely with the AI Product Manager to 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 so they can be operated long-term.
- Upskill and enable the wider team in effective AI usage (AI-assisted coding practices, patterns for AI/LLM solutions, and pragmatic guardrails) through pairing, lightweight training, and shared standards.
Key requirements
- Experience building and shipping software; meaningful experience delivering ML/LLM systems to production.
- Strong Python + software engineering fundamentals (testing, code quality, CI/CD).
- Experience with modern LLM patterns (RAG, tool use/agents, fine-tuning or prompt systems) and robust evaluation.
- Practical experience operating production systems on-prem or in a private cloud (Linux, containers, networking, monitoring/ops).
- Strong stakeholder communication and ability to work with ambiguous requirements.
- Experience mentoring/enablement: helping other engineers and business stakeholders adopt new tooling and ways of working (especially AI-assisted development).
Nice to have
- Experience in financial services / regulated environments.
- Experience with data engineering pipelines and feature stores.
- Experience with multimodal models or speech/voice workflows.
Not a fit for
- Engineers looking for a heavily guided, junior role.
- Engineers who prefer minimal stakeholder interaction.
- Engineers who optimise for theoretical elegance over shipping value.
Salary & Benefits
- Salary negotiable depending on experience.
- Company bonus scheme.
- Additional holiday leave.
- Life insurance.
- Private medical insurance.
- Referral programme.
- Sick pay.
- Wellness programme.
Advantage Finance Ltd is an employer who believes in its people, we are an equal opportunities employer, and we strive to employ, develop and support a diverse workforce. We make recruitment decisions based solely around your experience and skills and love to see our people grow and develop.
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.
Senior AI Engineer in Lincoln employer: Advantage Finance
Contact Detail:
Advantage Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer in Lincoln
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Advantage Finance. A friendly chat can sometimes lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects related to AI, make sure to highlight them. It’s a great way to demonstrate your hands-on experience and passion for the field.
✨Tip Number 3
Prepare for the interview by understanding Advantage Finance’s current AI solutions. Be ready to discuss how you can improve them and what innovative ideas you can bring to the table.
✨Tip Number 4
Don’t forget to 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 the team.
We think you need these skills to ace Senior AI Engineer in Lincoln
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior AI Engineer. Highlight your experience with ML/LLM systems and any relevant projects that showcase your skills in Python and software engineering fundamentals.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this role at Advantage Finance. Share specific examples of how you've tackled similar challenges in the past and how you can contribute to our AI roadmap.
Showcase Your Communication Skills: Since this role involves working closely with stakeholders, demonstrate your strong communication skills in your application. Mention any experiences where you've successfully managed trade-offs or collaborated with cross-functional teams.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Advantage Finance
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI solutions, especially those related to ML/LLM systems. Be ready to discuss your experience with Python and how you've delivered production-ready systems in the past. This role is all about practical application, so be prepared to share specific examples.
✨Understand the Business
Since this position involves translating business problems into technical solutions, do your homework on Advantage Finance. Familiarise yourself with their existing Orion AI solutions and think about how you can improve them. Showing that you understand their business goals will set you apart.
✨Communicate Clearly
Strong communication skills are key for this role. Practice explaining complex technical concepts in simple terms, as you'll need to work closely with stakeholders. Think about how you can demonstrate your ability to manage trade-offs and collaborate effectively during the interview.
✨Show Your Mentoring Side
This role involves upskilling others, so be ready to talk about your experience mentoring or enabling other engineers. Share examples of how you've helped teams adopt new tools or practices, especially in AI-assisted development. This will highlight your leadership potential and collaborative spirit.