At a Glance
- Tasks: Lead the delivery of innovative AI/ML solutions for major insurance projects.
- Company: Join a top global consulting firm with a focus on financial services.
- Benefits: Flexible working, competitive pay, and opportunities for professional growth.
- Other info: Fast-paced environment with exciting projects and career advancement potential.
- Why this job: Be at the forefront of AI innovation in a dynamic industry.
- Qualifications: Strong experience with Azure ML and AWS; client-facing skills required.
The predicted salary is between 63000 - 77000 £ per year.
Contract type/Location: Near London ideally, flexible for the right candidate.
We're hiring a Lead AI Engineer to join the Financial Services and insurance focused data and AI consulting practice of one of the biggest companies in the world. This is a hands-on delivery role sitting at the centre of some genuinely exciting work: building AI/ML solutions that support large scale insurance platform builds (think policy admin, claims systems) as well as standalone AI innovation projects where clients want to do something new in a specific part of their business.
What you'll be doing:
- Owning hands-on delivery of AI/ML solutions built specifically on Azure ML and AI Foundry, this needs to be a genuine strength, not something you've used once.
- Working across AWS as the secondary platform, breadth across services matters more than deep expertise in any single tool.
- Leading technical delivery within client engagement teams, working alongside consultants embedded on insurance sector projects.
- Supporting both platform adjacent data/AI workstreams (running alongside claims and policy admin builds) and standalone innovation engagements.
- Flexing with fast moving client demand, this work can move quickly or sit quieter for a few months at a time, so you'll need to be comfortable with that rhythm.
What you'll bring:
- Strong hands-on experience with Azure ML and/or AI Foundry, this is core and non-negotiable.
- Working knowledge of AWS across a range of services.
- Experience delivering AI/ML solutions in a client facing or consulting environment.
- Comfortable working within insurance or wider financial services, ideally alongside large platform implementations.
- Ability to work independently and lead technical delivery within a broader engagement team.
- Based near London or able to work onshore consistently.
Artificial Intelligence Engineer in London employer: Remobi
As a Data Analyst with our PE-backed fashion retail client, you'll thrive in a dynamic and supportive environment that values clarity and collaboration. Enjoy the flexibility of hybrid working in London, where you can engage directly with stakeholders to make a tangible impact on inventory management. With opportunities for professional growth and a culture that encourages innovation, this role offers a rewarding experience for those looking to advance their career in data analysis.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence 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 Remobi!
✨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 Artificial Intelligence Engineer at Remobi.
✨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 Remobi.
✨Apply Directly through Our Website
When you find a suitable opening like Artificial Intelligence Engineer at Remobi, 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 Artificial Intelligence 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 Remobi, 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 Remobi. 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 Remobi
✨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 Remobi!
✨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.
