At a Glance
- Tasks: Build cutting-edge AI solutions for top banks and financial institutions.
- Company: Join a leading consulting firm transforming the financial services industry.
- Benefits: Hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Exciting career paths from AI Engineer to Principal Consultant available.
- Why this job: Make a real impact by embedding AI into core business processes.
- Qualifications: Experience in software or data engineering and knowledge of AI technologies.
The predicted salary is between 70000 - 90000 £ per year.
The Financial Services industry is entering its next wave of transformation, with AI rapidly becoming a strategic capability across banking, payments, wealth, insurance and capital markets. We're partnering with a leading consulting and technology organisation delivering some of the UK's most ambitious AI and data programmes for Tier 1 banks and major financial institutions. The focus is on taking AI beyond experimentation and embedding it into core business processes, customer journeys and operational platforms. From intelligent banking operations and fraud detection to risk management, regulatory compliance and customer servicing, you'll be helping financial institutions deploy AI solutions that deliver measurable commercial impact.
What you'll be working on:
- Building production-grade AI and GenAI solutions for global banking and financial services clients
- Developing LLM-powered applications, RAG platforms and agentic workflows for complex enterprise environments
- Designing intelligent solutions across fraud, risk, compliance, operations and customer experience
- Integrating AI capabilities into existing banking platforms, data ecosystems and business processes
- Helping clients establish scalable, secure and governed AI operating models
Technology Environment:
- Python, SQL
- LLMs, Generative AI, Prompt Engineering, Fine-Tuning
- RAG, Embeddings, Vector Databases
- LangChain, LangGraph, Agent Frameworks
- FastAPI, APIs, Microservices
- AWS, Azure, GCP, Databricks
- MLOps, LLMOps, CI/CD
We're looking for professionals who can bring:
- Strong software engineering, platform engineering or data engineering expertise
- Experience building and deploying AI-enabled products into production environments
- Knowledge of banking, financial services or other regulated industries
- Understanding of enterprise architecture, governance and risk considerations around AI adoption
- The ability to engage with stakeholders from engineering teams through to senior business and technology leadership
Opportunities Available:
We're hiring from AI Engineer and Senior AI Engineer level through to AI Solution Architects, Principal Consultants and Senior Managers leading large-scale AI transformation programmes. This is an opportunity to work at the intersection of AI innovation and Financial Services transformation, helping some of the world's leading financial institutions modernise customer experiences, streamline operations, strengthen risk controls and unlock new commercial opportunities through AI. Interested in discussing the market or exploring current opportunities? Feel free to get in touch for a confidential conversation.
Artificial Intelligence Engineer in London employer: Datatech Analytics
As a leading consulting and technology organisation, we offer an exceptional work environment for AI Engineers in London, Manchester, and Scotland. Our culture fosters innovation and collaboration, providing employees with opportunities for professional growth while working on transformative AI projects that have a real impact on the financial services sector. With a hybrid work model and a focus on embedding AI into core business processes, we empower our team to thrive in a dynamic and supportive atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineer in London
✨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 Artificial Intelligence Engineer in London
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.
