At a Glance
- Tasks: Lead AI initiatives, develop cutting-edge computer vision models, and mentor a dynamic data science team.
- Company: Join a pioneering AI platform that's transforming customer service with unmatched speed and accuracy.
- Benefits: Remote work flexibility, competitive salary, and opportunities for professional growth in a thriving tech environment.
- Other info: Work in a collaborative, fast-paced environment with excellent career advancement opportunities.
- Why this job: Be at the forefront of AI innovation and tackle real-world challenges with your expertise.
- Qualifications: Strong Python skills, machine learning experience, and a passion for computer vision.
The predicted salary is between 80000 - 100000 £ per year.
Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They’ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert tagged images. Now, they’re scaling globally — and need a world-class Lead AI Engineer to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges.
Role Overview
They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions.
Key Responsibilities
- Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal learning).
- Fine-tune, evaluate, and productionise multi-modal LLMs for business applications.
- Drive experimentation and prototyping of advanced ML/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, while ensuring scalability, reproducibility, and monitoring of deployed models.
Requirements
- Strong, current Python, 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: data residency, de-identification, model governance, auditability, and why explainability matters.
- The judgment to scope and lock a problem before building it, and to know when a model is good enough to ship.
- OpenCV and classical computer vision alongside deep learning.
ALL APPLICANTS MUST BE FREE TO WORK IN THE UK.
Lead AI Engineer - Remote employer: Exposed Solutions
Join a pioneering company at the forefront of AI innovation, where your expertise as a Lead AI Engineer will directly contribute to developing cutting-edge solutions that transform customer experiences. With a strong emphasis on collaboration and continuous learning, you'll thrive in a dynamic remote work culture that values your input and fosters professional growth through mentorship and access to advanced resources. Enjoy the unique advantage of working with a team that is not only committed to pushing technological boundaries but also dedicated to making a meaningful impact in real-world applications.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer - Remote
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and tech space. Attend meetups, webinars, or even online forums where you can chat with industry folks. You never know who might have a lead on that perfect job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to computer vision and machine learning. Share it on platforms like GitHub or your personal website. This gives potential employers a taste of what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions, especially around ML pipelines and Azure services. Mock interviews with friends can help you feel more confident when the real deal comes along.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, applying directly can sometimes give you an edge over others. So, get your application in and let’s make it happen!
We think you need these skills to ace Lead AI Engineer - Remote
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead AI Engineer role. Highlight your experience with computer vision, large language models, and any production-ready ML pipelines you've worked on. We want to see how your skills align with what our client is looking for!
Showcase Your Projects:Include specific examples of projects where you've developed, trained, or deployed AI models. If you've worked with Azure or similar cloud platforms, let us know! Real-world applications speak volumes about your capabilities.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you're passionate about AI and how you can contribute to pushing the boundaries of technology. We love seeing enthusiasm and a clear understanding of the role.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensure it gets the attention it deserves. We’re excited to see what you bring to the table!
How to prepare for a job interview at Exposed Solutions
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the specific tools mentioned in the job description, like FastAPI and Azure AI services. Brush up on your experience with computer vision models and be ready to discuss real-world applications you've worked on.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex machine learning challenges in the past. Be ready to explain your thought process when scoping problems and deciding when a model is ready for production.
✨Align with Business Goals
Understand how your technical skills can align with the company’s objectives. Think about how you can contribute to their mission of serving customers with speed and accuracy, and be prepared to discuss this during the interview.
✨Demonstrate Leadership and Mentoring
As a Lead AI Engineer, you'll need to guide a team. Share your experiences in mentoring others and leading projects. Highlight how you’ve set direction and best practices in previous roles to show you’re ready for this responsibility.
