At a Glance
- Tasks: Design and build AI solutions that drive real business value in a collaborative tech team.
- Company: Leading financial services organisation transforming through AI, data, and automation.
- Benefits: Up to £75,000 salary, competitive compensation, and opportunities for professional growth.
- Other info: Work in a highly regulated environment with excellent career advancement opportunities.
- Why this job: Join a dynamic team and turn innovative ideas into impactful AI tools.
- Qualifications: Strong Python and SQL skills, with experience in AI technologies and cloud platforms.
The predicted salary is between 81000 - 99000 £ per year.
We're partnering with a leading financial services organisation undergoing an exciting transformation in AI, data and automation.
This is an opportunity to join a collaborative technology team delivering secure, scalable AI solutions that drive real business value.
You'll work across the full solution lifecycle, helping to turn innovative ideas into production-ready tools within a highly regulated environment.
What you'll be doing
- Design and build data pipelines and AI-enabled solutions to support business and operational processes.
- Develop and deploy AI, automation and analytics capabilities, including generative AI and workflow optimisation.
- Collaborate with technical and business stakeholders to deliver scalable, secure and well-governed solutions.
- Create reporting and monitoring dashboards while supporting testing, documentation and continuous improvement.
What we're looking for
- Strong experience with Python and SQL, alongside data engineering or software development skills.
- Hands-on experience with cloud data platforms (e. g. Snowflake), APIs and BI tools such as Power BI.
- Exposure to AI technologies, machine learning, LLMs or automation frameworks within a commercial environment.
- Excellent communication skills with the ability to work across technical and non-technical teams in a structured, delivery-focused setting.
- #J-18808-Ljbffr
AI Engineer - Python - Up To £75,000 P/A + Comps - London employer: Hunter Bond
Join a leading financial services organisation in London that values innovation and collaboration, offering a dynamic work culture where your contributions directly impact the transformation of AI and automation. With competitive compensation and comprehensive benefits, you'll have ample opportunities for professional growth while working alongside talented teams dedicated to delivering secure and scalable solutions in a highly regulated environment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - Python - Up To £75,000 P/A + Comps - 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 Hunter Bond!
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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 Hunter Bond.
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We think you need these skills to ace AI Engineer - Python - Up To £75,000 P/A + Comps - 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 Hunter Bond, 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 Hunter Bond. 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 Hunter Bond
✨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 Hunter Bond!
✨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.
