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- Tasks: Lead machine-learning projects focusing on computer vision and large language models.
- Company: Join a cutting-edge AI platform transforming customer service with speed and accuracy.
- Benefits: Enjoy remote work flexibility and a chance to work with top-tier universities.
- Why this job: Be at the forefront of AI innovation, solving real-world challenges in a collaborative environment.
- Qualifications: 6+ years in data science, with strong skills in Python and Azure MLOps required.
- Other info: All applicants must be eligible to work in the UK.
The predicted salary is between 48000 - 84000 £ 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 Data Scientist 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 · 6+ years in data science / ML, with at least 2 years in a technical lead role. · Deep experience in training and deploying computer vision models into production · Proven track record with LLM fine-tuning, prompt engineering and productionisation · Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. · Strong coding skills in Python, with frameworks such as PyTorch, FastAPI and Azure CLI. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment agency to this client. Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role
Lead Data Scientist - Remote employer: Exposed Solutions
Contact Detail:
Exposed Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist - Remote
✨Tip Number 1
Familiarise yourself with the latest advancements in computer vision and large language models. Being able to discuss recent breakthroughs or relevant projects during your interview can demonstrate your passion and expertise in the field.
✨Tip Number 2
Showcase your experience with Azure and MLOps by preparing specific examples of how you've implemented CI/CD pipelines or monitored deployed models. This will highlight your technical skills and ability to lead projects effectively.
✨Tip Number 3
Network with professionals in the AI and data science community, especially those who have experience in computer vision and LLMs. Engaging in discussions or attending relevant webinars can provide insights and connections that may benefit your application.
✨Tip Number 4
Prepare to discuss your leadership style and how you mentor junior team members. The role requires guiding a data science team, so demonstrating your ability to inspire and direct others will be crucial during the interview process.
We think you need these skills to ace Lead Data Scientist - Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science and machine learning, particularly focusing on computer vision and large language models. Use specific examples of projects you've led or contributed to that align with the job description.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your background makes you a perfect fit for the Lead Data Scientist role. Mention your experience with Azure and MLOps, and how you can contribute to the company's goals.
Showcase Relevant Projects: If possible, include links to your portfolio or GitHub where you have showcased relevant projects. Highlight any work related to computer vision, LLMs, or ML pipelines that demonstrates your technical skills and leadership capabilities.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a technical lead role.
How to prepare for a job interview at Exposed Solutions
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with computer vision and large language models in detail. Highlight specific projects where you've developed, trained, or deployed models, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Leadership Skills
As a Lead Data Scientist, you'll need to show that you can guide a team effectively. Share examples of how you've mentored others, set technical direction, and ensured successful project delivery. This will help illustrate your capability to lead and inspire.
✨Align with Business Goals
Understand the company's mission and how your role as a Lead Data Scientist fits into their broader objectives. Be ready to discuss how you would align machine learning strategies with business goals, showcasing your ability to bridge the gap between technical and non-technical stakeholders.
✨Prepare for Technical Questions
Expect in-depth technical questions related to MLOps on Azure, CI/CD processes, and coding in Python. Brush up on your knowledge of frameworks like PyTorch and FastAPI, and be ready to solve problems on the spot to demonstrate your coding skills.