At a Glance
- Tasks: Lead the development and deployment of cutting-edge computer vision models.
- Company: Join a forward-thinking tech company at the forefront of AI innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Work in a dynamic environment with a focus on collaboration and innovation.
- Why this job: Make a real impact in AI while mentoring a passionate data science team.
- Qualifications: Strong Python skills and experience with machine learning and computer vision.
The predicted salary is between 60000 - 80000 £ per year.
Salary: £60,000 - 80,000 per year
Requirements
- Strong, current Python experience, including building and maintaining production services with FastAPI or similar.
- Solid machine learning and computer vision background, with real models shipped to production rather than only notebooks and prototypes.
- Hands‑on experience with a computer vision training and labelling toolchain such as Roboflow, including dataset management and model evaluation.
- Experience with Azure AI services such as Azure AI Foundry and Azure OpenAI, or a clear track record on an equivalent cloud AI stack and the ability to pick ours up quickly.
- Practical understanding of working in a regulated or compliance‑sensitive environment, including data residency, de‑identification, model governance, auditability, and explainability.
- Strong judgment to scope and define a problem before building it, and to know when a model is good enough to ship.
- Experience with OpenCV and classical computer vision alongside deep learning.
- Must be free to work in the UK.
Responsibilities
- Develop, train, and deploy computer vision models, including object detection, image classification, segmentation, and multimodal learning.
- Fine‑tune, evaluate, and productionise multimodal LLMs for business applications.
- Drive experimentation and prototyping of advanced ML and AI techniques.
- Provide technical direction, mentoring, and hands‑on guidance to the data science team.
- Work with engineering, product, and business stakeholders to align ML strategy with business goals.
- Architect and productionise end‑to‑end ML pipelines on Azure, ensuring scalability, reproducibility, and monitoring of deployed models.
Technologies
- AI Architect
- Azure Cloud
- Computer Vision
- FastAPI
- Machine Learning
- Python
- OpenCV
Lead AI Engineer employer: Sivara GmbH
As a Lead AI Engineer at our innovative tech company, you will thrive in a dynamic work culture that prioritises collaboration and creativity. We offer competitive salaries, comprehensive benefits, and ample opportunities for professional growth, all within a vibrant location that fosters cutting-edge advancements in AI technology. Join us to make a meaningful impact while working alongside passionate experts in the field.
StudySmarter Expert Advice🤫
We think this is how you could land Lead 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 Sivara GmbH!
✨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 Engineer at Sivara GmbH.
✨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 Sivara GmbH.
✨Apply Directly through Our Website
When you find a suitable opening like Lead AI Engineer at Sivara GmbH, 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 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 Sivara GmbH, 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 Sivara GmbH. 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 Sivara GmbH
✨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 Sivara GmbH!
✨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.
