At a Glance
- Tasks: Transform technology with AI, build prototypes, and enhance our internal AI platform.
- Company: Join Enablis, a pioneering AI-native consultancy focused on impactful tech solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a commitment to diversity and inclusion.
- Why this job: Make a real difference by working on cutting-edge AI projects that matter.
- Qualifications: Strong programming skills, full-stack capability, and hands-on AI experience required.
About Enablis
At Enablis, we deliver complex, high-impact technology transformation. We're building a genuinely AI-native consultancy, embedding AI into how we deliver, operate, and grow. Enablis runs AI-first, so every recommendation comes from practitioners.
Forward-deployed means exactly that: inside the client's environment, on their real data, within their security model.
Between engagements, you extend our internal AI platform and codify what you proved in the field into the accelerators, templates, and playbooks that make every engagement faster than the last.
- Building working AI proofs on real client data during Assess engagements, the prototype is the discovery tool, built while the value case is made.
- Proving trustworthiness with evals: golden datasets, automated evaluation pipelines, accuracy and drift monitoring, and hill-climbing on the results.
- Wrangling client data: pipelines, messy edge cases, integrations that are harder than they look.
- Owning and evolving our internal AI platform; codifying repeatable field patterns into reusable Enablis assets.
- Evaluating emerging AI tools, frameworks, and protocols, and making pragmatic adoption calls.
Requirements:
- Strong software engineering foundations, clean code, testing, CI/CD, production mindset, with strong general-purpose programming (e.g. Python, TypeScript) and proficiency in 2+ modern languages.
- Full-stack capability: enough front-end, back-end, and data engineering to build the whole thing yourself.
- Hands-on production LLM and agent experience: prompt engineering, agent workflows, RAG, tool orchestration and MCP, with evidence you've shipped AI users actually rely on, and how you proved it could be trusted.
- High agency and comfort with ambiguity, you can operate with minimal supervision in a client's world.
- A value instinct: you can explain what a build is worth in business terms, and say when something isn't worth building.
- Vector databases, embeddings, fine-tuning.
- Cloud experience (AWS/Google preferred).
- Open-source contributions or visible AI side projects.
We’re looking for passionate, talented tech experts who want to work on projects that matter. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, or age.
Tech / AI Specialist in City of London employer: Enablis
At Enablis, we pride ourselves on being an exceptional employer, fostering a dynamic work culture that thrives on innovation and collaboration. Our commitment to employee growth is evident through hands-on projects and direct mentorship from our CTO, ensuring that you are at the forefront of AI technology transformation. Located in a vibrant tech hub, we offer unique opportunities to work on cutting-edge AI solutions while enjoying a supportive environment that values creativity and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Tech / AI Specialist in City of London
✨Get Involved in Data Science Meetups
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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 Enablis.
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We think you need these skills to ace Tech / AI Specialist in City of 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 Enablis, 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 Enablis. 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 Enablis
✨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 Enablis!
✨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.
