At a Glance
- Tasks: Design and deploy innovative AI applications using cutting-edge technologies.
- Company: Join a leading global financial organisation's AI team in London.
- Benefits: Earn up to £190,000 plus a 20% bonus and visa sponsorship.
- Other info: Dynamic role with opportunities for growth in a collaborative environment.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- Qualifications: Experience with AI solutions, LLMs, and full-stack development required.
The predicted salary is between 72000 - 88000 £ per year.
Applied AI Engineer - London - Up to £190,000 - Permanent
A rare opportunity has risen for a Senior Applied AI Engineer to join a dedicated team at the heart of a leading global financial organisation's AI function.
As a Senior Full Stack Applied AI Engineer, you will be responsible for designing, building and deploying innovative AI-powered applications across the full technology stack.
You'll combine hands-on software engineering expertise with deep knowledge of modern AI frameworks, LLMs and agent technologies.
The Role
- Translate business challenges and problem statements into working proofs of concept and production-grade AI solutions.
- Architect, develop and deploy AI-native applications leveraging Large Language Models (LLMs), agentic systems and multimodal AI technologies.
- Design, build and orchestrate intelligent agent workflows using the Gemini Enterprise Agent Platform, Agent Development Kit (ADK) and Agent2Agent (A2A) protocol.
- Develop and implement Retrieval-Augmented Generation (RAG) architectures, vector search capabilities and long-term agent memory solutions.
- Deploy, monitor and improve AI agents using Google's managed agent runtime and foundation models, including Gemini and Claude.
- Create intuitive, scalable user interfaces using modern front-end technologies such as React, Next. js and Svelte.
- Build robust backend services, APIs and orchestration frameworks to support AI-powered applications.
- Design and manage data architectures across SQL, No SQL and vector database environments.
- Collaborate with business stakeholders to identify, prioritise and deliver AI use cases that generate measurable business value.
- Assess AI platforms, models and third-party technologies against criteria including performance, scalability, cost, latency, security and maintainability.
- Conduct model benchmarking, technical due diligence and framework evaluations to inform technology decisions.
Skills & Experience
- Demonstrated experience designing, developing and deploying Applied AI and Generative AI solutions in production environments.
- Strong hands-on expertise with Large Language Models (LLMs), AI agents and modern orchestration frameworks.
- Experience working with Google Cloud AI services, particularly Gemini-based technologies and ecosystems.
- Advanced Python development skills, with exposure to Type Script considered highly advantageous.
- Full-stack software engineering experience, with a strong emphasis on backend development, distributed systems and API design.
- Hands-on experience building applications using React, Next. js, Svelte or comparable modern front-end frameworks.
- Strong understanding of SQL, No SQL and vector database technologies, including platforms such as Postgre SQL and Firestore.
- Proven experience implementing RAG architectures, prompt engineering techniques and AI model evaluation methodologies.
- Practical experience with containerisation and cloud-native technologies, including Docker, Kubernetes, CI/CD pipelines and Infrastructure as Code (Ia C) tools such as Terraform.
- Strong problem-solving, stakeholder engagement and architectural design skills, with the ability to translate business requirements into scalable AI solutions.
Why Apply?
- Impressive base salary of £190,000 with a strong 20% bonus structure.
- Great opportunity to work on genuinely innovative AI and agentic systems.
- Visa sponsorship available for UK-based candidates (must be exceptional)
If you're driven and passionate about the new generation of Machine Learning and AI and want to play a pivotal role in developing the Generative AI function of a leading organisation, it'd be great to hear from you.
All candidates must be UK-based.
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Applied AI Engineer employer: Tenth Revolution Group
Join a leading AI Analytics team in London, where innovation meets opportunity. As a Remote Senior Data Engineer, you'll thrive in a dynamic work culture that prioritises collaboration and growth, backed by a multinational equity firm poised for year-on-year expansion. Enjoy access to cutting-edge technology, professional development opportunities, and the chance to make a significant impact in the rapidly evolving AI landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Tenth Revolution Group!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Applied AI Engineer at Tenth Revolution Group.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Tenth Revolution Group.
✨Apply Directly through Our Website
When you find a suitable opening like Applied AI Engineer at Tenth Revolution Group, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Applied AI Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Tenth Revolution Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Tenth Revolution Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Tenth Revolution Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Tenth Revolution Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
