At a Glance
- Tasks: Build AI-powered solutions for client projects and proprietary products.
- Company: Growing AI and data consultancy with a collaborative culture.
- Benefits: Competitive salary, hybrid work, and opportunities for influence.
- Other info: Join a small team with direct access to leadership and growth opportunities.
- Why this job: Work with cutting-edge AI tech and make a real impact.
- Qualifications: 4-5+ years in software engineering and experience with AI applications.
The predicted salary is between 80100 - 97900 £ per year.
We're partnered with a growing AI and data consultancy that works with investment managers, pension schemes and financial institutions to deliver AI-powered products, data solutions and intelligent automation. Following continued growth and investment in its technology function, the business is looking to expand its current team across junior to senior roles. This is an opportunity to join a highly collaborative engineering team where AI is embedded into day-to-day development. You'll work on a combination of client projects and proprietary products, helping to solve complex problems using modern software engineering, data and AI technologies.
The Role
As a Senior Data & AI Engineer, you'll be responsible for building AI-powered solutions for both client projects and the consultancy's own products. The role is heavily focused on practical AI implementation, including prompt engineering, output evaluation, reliability improvements and integrating LLMs into production systems. You'll work closely with technical and non-technical stakeholders, helping to solve complex business problems using data and AI technologies. This environment suits engineers who enjoy autonomy, ownership and working within a scale-up business where there is plenty of opportunity to influence outcomes.
Key Requirements
- 4-5+ years of commercial software engineering experience
- Experience building AI-powered applications using LLMs
- Experience evaluating model outputs and mitigating hallucinations
- Ability to communicate effectively with stakeholders and clients
- Self-starter mentality with a high degree of ownership
- Passion for AI and emerging technologies
- Retrieval-Augmented Generation (RAG)
- Data engineering and large-scale data ingestion
- Azure or Google Cloud
- Financial services, ESG or investment industry exposure
- Data modelling and architecture
Why Join?
- Work with cutting-edge AI technologies on real-world projects
- Join a growing consultancy at an exciting stage of its journey
- Opportunity to contribute to both client solutions and proprietary products
- Small, collaborative engineering team with direct access to leadership
- Modern engineering environment that actively embraces AI tools and workflows
- Genuine opportunity to influence technical direction and product development
Senior Data and AI Engineer employer: develop
Join a dynamic consultancy that prioritises employee growth and fosters a collaborative work culture in the heart of London. With a focus on health sector transformation, we offer competitive salaries, hybrid working options, and opportunities to lead impactful projects while mentoring the next generation of consultants. Our commitment to professional development ensures that you will thrive in an environment that values innovation and strategic thinking.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data and 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 develop!
✨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 develop.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data and AI Engineer at develop, 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 Senior Data and 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 develop, 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 develop. 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 develop
✨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 develop!
✨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.
