At a Glance
- Tasks: Lead AI/ML projects and develop innovative solutions in a dynamic environment.
- Company: Join a forward-thinking consultancy in the heart of London.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborate with diverse teams and enhance your skills in a supportive culture.
- Why this job: Shape the future of AI while working on exciting client projects.
- Qualifications: Proficient in Python and experienced with Azure AI tools.
The predicted salary is between 60000 - 80000 £ per year.
- Lead AI/ML Consultant
- Location: London, E4 7FH Salary: £46,704 per year (estimated)
- Required Skills & Qualifications
- Python proficiency sufficient to build prototypes, review engineering output, and debug issues independently.
- Familiarity with orchestration frameworks: Lang Chain, Semantic Kernel, or Microsoft Prompt Flow.
- Hands‑on experience with Microsoft Azure AI Foundry.
- Working knowledge of Azure Dev Ops or Git Hub for managing AI experiment tracking and deployment pipelines.
- Ability to read and interpret SQL; experience with cloud data platforms (Databricks, Synapse, or equivalent) is advantageous.
- Experience with ML‑Ops practices: model versioning, drift detection, retraining pipelines, and A/B evaluation in production.
- Exposure to multi‑modal AI (document + image pipelines relevant to property claims or risk surveys).
- Familiarity with insurance‑specific AI regulation guidance.
- Experience with Data Bricks.
- Prior experience in a vendor or consultancy environment managing multiple concurrent client engagements.
- Knowledge of CI/CD for Databricks (Azure Dev Ops, Git Hub Actions).
- Exposure to data governance, security, and compliance frameworks.
- Preferred Qualifications / Certifications
- Microsoft Certifications: AI-102 (Azure AI Engineer), DP‑100 (Azure Data Scientist), AI‑900, or equivalent.
- #J-18808-Ljbffr
Lead AI/ML Consultant in Epping employer: Infinity Quest
Infinity Quest is an exceptional employer that values innovation and collaboration, providing a dynamic work environment in Telford. Employees benefit from a strong focus on professional development, with ample opportunities for growth and advancement within large-scale programmes. The company fosters a supportive culture that encourages accountability and teamwork, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI/ML Consultant in Epping
✨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 Infinity Quest!
✨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 Lead AI/ML Consultant at Infinity Quest.
✨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 Infinity Quest.
✨Apply Directly through Our Website
When you find a suitable opening like Lead AI/ML Consultant at Infinity Quest, 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 Lead AI/ML Consultant in Epping
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 Infinity Quest, 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 Infinity Quest. 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 Infinity Quest
✨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 Infinity Quest!
✨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.
