At a Glance
- Tasks: Lead a team to design and deploy innovative AI systems and applications.
- Company: Join a forward-thinking tech company in the heart of London.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for professional growth.
- Other info: Immediate interviews available for this exciting opportunity.
- Why this job: Be at the forefront of AI technology and make a significant impact.
- Qualifications: Experience in machine learning, team leadership, and data engineering required.
The predicted salary is between 40000 - 50000 € per year.
We are seeking an ML Lead to manage our team and spearhead the design and deployment of cutting-edge Agentic Systems and LLM applications.
Key Responsibilities:
- Team Leadership: Manage the ML team and collaborate with data scientists, software engineers, and business stakeholders.
- LLM & Agent Development: Build autonomous AI agents, implement Retrieval-Augmented Generation (RAG) pipelines, and fine-tune LLMs using PEFT techniques like LoRA.
- Data Engineering: Design and maintain robust ETL/ELT pipelines to process structured and unstructured data.
- MLOps & Infrastructure: Automate CI/CD pipelines, manage cloud/container infrastructure (Docker, Kubernetes), and oversee secure model deployment and performance monitoring.
- Responsible AI: Build trustworthy AI systems with quantifiable metrics for fairness, explainability, and compliance.
This is an urgent vacancy with a deadline where the hiring manager is shortlisting for an interview immediately.
ML Lead - London, UK employer: Randstad Technologies
At Randstad Technologies, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our London office provides a hybrid working model, allowing for flexibility while ensuring team cohesion, and we are committed to the professional growth of our employees through continuous learning opportunities in the rapidly evolving field of machine learning. Join us to be part of a forward-thinking team that values responsible AI development and empowers you to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land ML Lead - London, UK
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who might know the hiring manager. A friendly nudge from someone they trust can make all the difference.
✨Tip Number 2
Prepare for the interview by brushing up on the latest trends in ML and AI. We want you to showcase your knowledge about LLMs and Agentic Systems, so dive into some recent case studies or projects that excite you!
✨Tip Number 3
Practice makes perfect! Set up mock interviews with friends or use online platforms to get comfortable answering technical questions. The more you rehearse, the more confident you'll feel when it’s showtime.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace ML Lead - London, UK
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the ML Lead role. Highlight your experience with AI agents, LLMs, and any leadership roles you've had. We want to see how your skills match what we're looking for!
Showcase Relevant Projects:Include specific projects that demonstrate your expertise in building autonomous AI systems and managing teams. We love seeing real examples of your work that align with our needs.
Be Clear and Concise:Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate a straightforward approach that highlights your key achievements.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Randstad Technologies
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest ML technologies and techniques, especially around LLMs and Agentic Systems. Brush up on your knowledge of PEFT techniques like LoRA and be ready to discuss how you've implemented these in past projects.
✨Showcase Your Leadership Skills
As an ML Lead, you'll need to demonstrate your ability to manage a team effectively. Prepare examples of how you've led teams in the past, resolved conflicts, and collaborated with cross-functional stakeholders. Highlight your approach to fostering a positive team environment.
✨Prepare for Technical Questions
Expect deep dives into your technical expertise, particularly around MLOps, ETL/ELT pipelines, and cloud infrastructure. Be ready to explain your experience with CI/CD automation and how you ensure secure model deployment and performance monitoring.
✨Discuss Responsible AI Practices
Given the focus on building trustworthy AI systems, be prepared to talk about how you incorporate fairness, explainability, and compliance into your work. Share specific metrics or frameworks you've used to measure these aspects in your previous projects.
