At a Glance
- Tasks: Create innovative AI solutions to tackle real-world business challenges.
- Company: Join a leading wealth management firm known for its supportive and inclusive culture.
- Benefits: Enjoy a hybrid work setup, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with excellent career advancement opportunities.
- Why this job: Make a significant impact in the AI field while working with cutting-edge technologies.
- Qualifications: Experience with cloud platforms and ML frameworks; passion for AI and data science.
The predicted salary is between 60000 - 80000 € per year.
twentyAI are partnering with a leading UK-based wealth management organisation committed to helping individuals confidently invest for their future. The company combines national reach with a local feel, known for driving innovation and fostering a supportive, inclusive work environment.
THE ROLE
As an AI Engineer, you will deliver impactful AI and GenAI solutions to solve diverse business challenges and advance the organisation’s use of advanced technology. You’ll lead projects from initial concept to production, and collaborate with stakeholders to identify and deliver high-value analytics initiatives. Your work will set technical standards, champion best practices, and foster a culture of innovation within data science teams.
Responsibilities:
- Design, build, and deploy scalable GenAI applications using LLMs, RAG pipelines, and AI agents.
- Deliver production-ready AI solutions with measurable business impact.
- Implement AI engineering and LLMOps best practices, including evaluation, monitoring, and deployment.
- Collaborate with stakeholders and engineering teams to identify and deliver high-value AI use cases.
- Drive innovation through experimentation with emerging AI technologies and frameworks.
- Communicate complex AI concepts clearly to technical and non-technical audiences.
YOUR BACKGROUND
- Experience with cloud platforms (Azure, AWS, Snowflake).
- Expertise in ML frameworks and libraries (scikit-learn, XGBoost, PyTorch, TensorFlow).
- In-depth knowledge of GenAI concepts (LLMs, prompt engineering, RAG, embeddings, vector databases).
- Full project lifecycle expertise: experimentation, deployment, and ongoing production.
- Experience with MLOps tools (Mlflow, feature stores, CI/CD, containerisation, model monitoring).
- Good understanding of data engineering principles, pipelines, orchestration (Fivetran, Airflow, Azure Data Factory).
- Ability to translate business needs into analytical or AI solutions.
- Experience in financial services, ideally wealth or asset management, is desirable.
If you’re passionate about advancing Data Science and AI, thrive on solving complex challenges, and want to make a significant impact, we’d love to hear from you. Apply now to join a forward-thinking, supportive organisation and take your career to the next level! This role can be based in either London or Liverpool with a hybrid set up.
AI Engineer - Wealth Management - London or Liverpool (hybrid) - TWE45590 employer: twentyAI
At twentyAI, we pride ourselves on being an exceptional employer, offering a dynamic and inclusive work culture that empowers our employees to innovate and excel. As an AI Engineer in either London or Liverpool, you will benefit from a hybrid working model, competitive remuneration, and ample opportunities for professional growth within a leading wealth management organisation dedicated to advancing technology and analytics. Join us to make a meaningful impact while enjoying a supportive environment that values collaboration and creativity.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - Wealth Management - London or Liverpool (hybrid) - TWE45590
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those that demonstrate your expertise in LLMs and GenAI. This will give you an edge and make it easier for employers to see what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex AI concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications from passionate candidates who want to make a difference in the world of wealth management. Your next big opportunity could be just a click away!
We think you need these skills to ace AI Engineer - Wealth Management - London or Liverpool (hybrid) - TWE45590
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the AI Engineer role. Highlight your expertise in cloud platforms and ML frameworks, as these are key to what we’re looking for.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about AI and how your background fits with our mission in wealth management. Be sure to mention any relevant projects or experiences that showcase your problem-solving skills.
Showcase Your Projects:If you’ve worked on any AI or GenAI projects, make sure to include them in your application. We love seeing real-world examples of your work, especially those that demonstrate your ability to deliver impactful solutions.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at twentyAI
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI concepts, especially GenAI and LLMs. Be ready to discuss how you've used these technologies in past projects and how they can be applied to the wealth management sector.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex challenges using AI solutions. Think about specific projects where your work had a measurable impact, and be ready to explain your thought process and the results.
✨Communicate Clearly
Practice explaining complex AI concepts in simple terms. You’ll need to communicate with both technical and non-technical stakeholders, so being able to break down jargon will set you apart.
✨Familiarise Yourself with the Company
Research the wealth management organisation and understand their mission and values. Be prepared to discuss how your skills align with their goals and how you can contribute to their innovative culture.
