At a Glance
- Tasks: Design and build data foundations, manage projects, and turn data into actionable insights.
- Company: Join a fast-growing, entrepreneurial consulting firm led by the founder.
- Benefits: Competitive salary, performance bonuses, potential equity, and flexible working arrangements.
- Other info: Work in a dynamic team environment with opportunities for growth and innovation.
- Why this job: Make a real impact on client projects and help shape new products.
- Qualifications: Strong SQL skills, project management experience, and a passion for problem-solving.
The predicted salary is between 80000 - 100000 £ per year.
Elio is a data and strategic growth partner.
We work with established businesses to surface the growth hiding in their data – building the data foundations first, then the insight, analytics, strategy and automation on top.
We're profitable and growing fast.
This is a chance to join a small, entrepreneurial team working in commercial, high-impact settings, where the work spans client delivery and helping build new products and ventures of our own.
It's an early, mid‑level hire: you'll work directly with the founder, shape how we deliver, and take real ownership of your projects.
The role
We're looking for a Data & AI Engineer who is genuinely hands‑on and comfortable taking projects from scoping to delivery.
You'll build the data foundations our work rests on, turn messy client data into reliable analytics and insights, then help strategise and ship solutions that move the needle for clients.
It's both a technical and a project‑management role.
You'll write SQL and run pipelines yourself, and also manage projects from a technical perspective, working alongside our other engineers.
You won't own the commercial relationship but will be trusted to represent your work in the room and speak confidently with clients and stakeholders.
You will also help shape our stack, standards, and new products and ventures beyond client work.
What you'll do
- Design and build data foundations – pipelines, models and warehousing – that client work depends on.
- Write clean, well‑tested SQL, Python and Java Script, and maintain good engineering practices (version control, documentation, reviews, CI).
- Own the delivery of data projects – scoping, prioritising and keeping them on track – and communicate confidently with clients and stakeholders.
- Turn data into insight: analytics, reporting and the groundwork for strategy and automation.
- Build and integrate AI/ML‑driven solutions where they genuinely add value.
- Help shape how a growing, entrepreneurial consulting firm delivers – processes, standards and the stack – and contribute to new products and ventures as they take shape.
What we're looking for
- Must‑haves
- Passion for building software and problem solving.
- Strong SQL and solid engineering fundamentals.
- Comfortable with modern data platforms – e. g. Databricks, Big Query or Snowflake.
- Good software engineering discipline: Git, Git Hub, branching, code review, clean commits.
- Experience managing the delivery of data projects – scoping, prioritising and delivering to a client or stakeholder.
- A self‑starter who thrives in a small team, can own their work end to end, and is comfortable speaking with clients and stakeholders, translating technical work for non‑technical people.
- Nice‑to‑haves
- Cloud experience (Azure or GCP).
- Understanding of wider engineering architecture, e. g. having designed or deployed full‑stack systems or side projects.
- Hands‑on with AI/ML or LLM‑based tooling in production.
- Exposure to marketing or growth data (ads, CRM, CDP, first‑party data).
- Consulting or agency background, or experience being the technical point of contact for clients.
- A commercial, entrepreneurial streak – interest in how the work turns into products and outcomes.
- Why join
- Entrepreneurial from day one: a key early hire in a small, profitable, founder‑led team; you're close to the commercial side and new products as they are built.
- Ownership – real say in how we deliver, plus a performance bonus and potential equity or options for the right person, so you share in what you help build.
- Range – real technical depth and project‑delivery ownership, with direct exposure to clients – not siloed into one lane.
- Impact – your work is the foundation everything else is built on; you'll see it land.
- Growth – help define the stack, the standards, and the team as we scale.
- Hybrid – three days a week in central London with the team, the rest flexible.
- To apply
Send your CV and a short note on a data project you owned end to end – what you built, the stack and the outcome. A link to Git Hub or relevant work is a plus.
We welcome applicants from all backgrounds.
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Data and AI Engineer in London employer: Elio.
Elio is an exceptional employer for those looking to make a significant impact in the data and AI space. With a focus on entrepreneurial spirit, employees enjoy real ownership of their projects, direct exposure to clients, and the opportunity to shape the company's future as it scales. The hybrid work model in central London fosters a collaborative environment while allowing flexibility, making it an ideal place for growth-oriented professionals.
StudySmarter Expert Advice🤫
We think this is how you could land Data and AI Engineer 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 Elio.!
✨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 Data and AI Engineer at Elio..
✨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 Elio..
✨Apply Directly through Our Website
When you find a suitable opening like Data and AI Engineer at Elio., 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 Data and AI Engineer 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 Elio., 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 Elio.. 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 Elio.
✨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 Elio.!
✨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.
