At a Glance
- Tasks: Build and deploy AI tools that make a real impact in a fast-paced environment.
- Company: Leading AI Data Platform based in London with a focus on innovation.
- Benefits: Competitive salary up to £140k, equity, and minimal office visits.
- Other info: Dynamic culture that values experimentation and offers excellent career growth.
- Why this job: Join a team where your AI skills can drive meaningful change and innovation.
- Qualifications: 4+ years as an AI/ML Engineer with hands-on experience in LLMs and SQL.
The predicted salary is between 80000 - 98000 £ per year.
Hugely Successful AI Data Platform based in London, are looking for an AI Developer. This isn't a role where AI is a buzzword — it's the job. We're hiring an AI Developer who wants to build, ship, and iterate on real AI solutions that drive measurable impact across a fast-moving business. You'll have the freedom to experiment with the latest models, frameworks, and tools — and the autonomy to turn ideas into production-ready applications.
What you'll be doing:
- Build and deploy AI-powered tools and products from concept through to production.
- Design and develop AI agents and agentic workflows that automate complex processes and enhance decision-making.
- Engineer, test, and optimise prompts across generative AI applications for real-world use cases.
- Prototype fast, learn faster — you'll work in a culture that values experimentation over perfection.
- Collaborate with product, commercial, and engineering teams to identify where AI can create the most value and integrate solutions into live workflows.
- Stay hands-on with emerging AI technologies, models, and techniques — and bring what you learn back into the work.
Requirements:
- 4+ years of experience as an AI/ML Engineer (ideally with prior search experience).
- Ideally Founding AI Engineer or Startup experience.
- Hands-on experience building with LLMs (e.g., prompt engineering, RAG patterns) and creating production AI features or exposure to traditional ML models.
- Familiarity with agentic frameworks (e.g., Pydantic AI, LangChain) and solid SQL skills.
- Prior search-based experience (e.g., complex RAG, semantic search) and experience with vector databases / embedding-based retrieval.
- Experience at a data-centric company (e.g., healthtech, fintech, marketplaces).
- Strong technical fundamentals with Python, embeddings, and vector databases.
Paying up to £140k + Equity. London Office Visit very minimal.
Please only apply if you have full working UK Rights as there is no sponsorship on offer.
Please feel free to apply or email or call to learn more.
AI Engineer - - AI Data Platform - up to £140k in London employer: We Source Talent
Join a leading AI Data Platform in London, where innovation meets impact. As an AI Engineer, you'll thrive in a dynamic work culture that prioritises experimentation and collaboration, offering you the chance to develop cutting-edge AI solutions with the latest technologies. With competitive compensation, equity options, and ample opportunities for professional growth, this is the perfect environment for those eager to make a meaningful contribution in the fast-evolving field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - - AI Data Platform - up to £140k in London
✨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 We Source Talent!
✨Show Off Your Projects
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✨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 We Source Talent.
✨Apply Directly through Our Website
When you find a suitable opening like AI Engineer - - AI Data Platform - up to £140k at We Source Talent, 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 AI Engineer - - AI Data Platform - up to £140k in London
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 We Source Talent, 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 We Source Talent. 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 We Source Talent
✨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 We Source Talent!
✨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.
