At a Glance
- Tasks: Design and build AI platforms for banking and finance using cutting-edge technologies.
- Company: Leading consulting and technology firm with a hybrid work culture.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Exciting career paths from Engineer to Senior Manager available.
- Why this job: Join a team that delivers impactful AI solutions in a dynamic industry.
- Qualifications: Experience in software or data engineering with a focus on AI solutions.
The predicted salary is between 80000 - 98000 £ per year.
Job Description
AI Engineer - FS Consulting Scotland Want to build AI that actually ships?
A leading consulting and technology firm is hiring AI Engineers and Technical AI Leaders in London (hybrid) to deliver production-grade AI across banking, risk, fraud and enterprise platforms.
Roles available from Engineer through to Senior Manager.
What you'll do Design and build AI-enabled platforms and intelligent workflows using large language models (LLMs), retrieval-augmented generation (RAG) pipelines and embedding models.
Develop scalable backend services and AI integrations, working closely with engineering, architecture and business teams, and support deployment, governance and operational rollout so solutions land production-ready and compliant.
What we're looking for Strong foundations in software or data engineering with hands-on experience delivering AI or AI-enabled solutions.
Cloud and modern data infrastructure exposure, plus experience in Financial Services or another regulated industry, is essential.
Tech skills include Python, SQL, LLM development (prompt engineering, fine-tuning, RAG), Lang Chain/Lang Graph, agent frameworks, vector databases, Fast API, and AWS, Azure, GCP or Databricks.
CI/CD, MLOps and LLMOps familiarity expected.
Strong communication and stakeholder skills matter at every level.
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Locations
AI Engineer - Financial Service Consulting in Bonnyrigg, Midlothian employer: Datatech Analytics
Datatech Analytics is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration within the secure government and defence sectors. Employees benefit from meaningful projects that have a direct impact on national security, alongside opportunities for professional growth and development in cutting-edge technologies. With a hybrid working model and a focus on employee well-being, this role provides a unique chance to contribute to critical transformation programmes while enjoying a supportive and engaging workplace.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - Financial Service Consulting in Bonnyrigg, Midlothian
✨Tap into Campus Networks
If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.
✨Get Certified
Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.
✨Connect on Professional Platforms
Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
✨Apply Directly and Be Proactive
Don’t shy away from reaching out directly to firms like Datatech Analytics. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.
We think you need these skills to ace AI Engineer - Financial Service Consulting in Bonnyrigg, Midlothian
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to Datatech Analytics.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on Datatech Analytics's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at Datatech Analytics
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with Datatech Analytics.
✨Prepare for Case Studies
Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at Datatech Analytics will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former Datatech Analytics employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
