At a Glance
- Tasks: Build AI platforms and intelligent workflows in a dynamic consulting environment.
- Company: Major consulting and technology organisation leading AI transformation in financial services.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Open to all levels, from Engineers to Senior Managers, with excellent career progression.
- Why this job: Join a team shaping the future of AI in banking and finance.
- Qualifications: Strong software or data engineering background with AI solution experience.
The predicted salary is between 60000 - 80000 £ per year.
We’re supporting a major consulting and technology organisation delivering AI and data transformation programmes across Financial Services and Banking. The focus is applied AI engineering, building production grade AI solutions across banking, risk, fraud, automation and enterprise platforms.
What you’ll be doing:
- Building AI-enabled platforms and intelligent workflows
- Working with LLMs, RAG pipelines and embedding models
- Developing scalable backend services and AI integrations
- Collaborating across engineering, architecture and business teams
- Supporting AI deployment, governance and operational rollout
Environment:
- Python, SQL
- LLMs, prompt engineering, fine-tuning, RAG
- LangChain, LangGraph, Agent frameworks
- Vector databases, FastAPI, APIs
- AWS, Azure, GCP or Databricks
- CI/CD, MLOps and LLMOps
Requirements:
- Strong software or data engineering foundations
- Experience delivering AI or AI-enabled solutions
- Exposure to cloud and modern data platforms
- Financial Services or regulated industry experience essential
- Strong communication and stakeholder skills
Open to candidates from Engineer through to Senior Manager level.
If you’re open to a confidential conversation about the market, please message me directly.
AI Engineer Consultant in London employer: Datatech Analytics
As a leading consulting and technology organisation, we pride ourselves on fostering a dynamic work culture that champions innovation and collaboration. Our hybrid work model across London, Manchester, and Scotland not only offers flexibility but also provides employees with access to cutting-edge AI projects in the financial services sector, ensuring ample opportunities for professional growth and development. Join us to be part of a team that values your contributions and supports your journey in building impactful AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer Consultant in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech space, especially those working in financial services. A casual chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs or cloud platforms. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've tackled challenges in AI engineering and how you collaborate with teams.
✨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, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Engineer Consultant in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the AI Engineer Consultant role. Highlight your experience with AI solutions, cloud platforms, and any relevant projects in financial services.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for our team. Be specific about your achievements and how they relate to the job description.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in Python, SQL, and any experience with LLMs or cloud platforms like AWS or Azure. We want to see how you can contribute to building AI-enabled platforms!
Apply Through Our Website:For the best chance of getting noticed, apply directly through our website. It helps us keep track of applications and ensures you’re considered for the right role within our team.
How to prepare for a job interview at Datatech Analytics
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI engineering, especially around LLMs and RAG pipelines. Be ready to discuss how you've built AI solutions in the past and how they can apply to financial services.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in Python, SQL, and any cloud platforms like AWS or Azure. You might be asked to solve a technical problem on the spot, so practice coding challenges related to AI integrations and backend services.
✨Communicate Clearly
Strong communication is key, especially when collaborating with different teams. Practice explaining complex AI concepts in simple terms, as you'll need to convey your ideas effectively to stakeholders who may not have a technical background.
✨Understand the Industry
Familiarise yourself with the financial services sector and its regulatory environment. Being able to discuss how AI can transform banking processes will show that you understand the context in which you'll be working.
