At a Glance
- Tasks: Lead the delivery of innovative AI and ML platforms, driving impactful solutions.
- Company: Join a forward-thinking tech company at the forefront of AI advancements.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of a culture that values mentorship and collaboration.
- Why this job: Shape the future of AI while leading a talented team in a dynamic environment.
- Qualifications: 8+ years in ML/AI with proven leadership and technical expertise.
The predicted salary is between 80000 - 100000 £ per year.
Your mission as an AI & ML Engineering Lead is to lead & manage the end-to-end delivery of cutting‑edge, production-grade Machine Learning and AI platforms. This role requires you to set the technical direction for your domain and champion MLOps best practices, ensuring a focus on scalable and reliable systems. While our foundation is built on traditional MLOps, we are rapidly expanding into Agentic Intelligence. You will play a pivotal role in evolving our infrastructure to support autonomous agents that can reason, use tools, and drive business impact. You will not just lead a team; you will build the backbone of AI at On, turning massive data streams into the competitive edge that powers our global growth.
Your Mission
- Provide Technical Leadership & Architectural Vision: Be accountable for your team's technical decisions and solutions, ensuring they align with MLOps best practices and On Tech's architecture north star, security, and compliance guidelines.
- Drive Strategic Alignment & Business Impact: Partner with cross-functional stakeholders to understand business requirements, and proactively identify and deliver ML solutions that have a significant impact on stakeholders across functions or regions.
- Lead Decisive Execution: Enable the team to make timely and informed decisions for consequential, potentially irreversible decisions, and provide direction/support to others in tackling complex, new problems by identifying underlying issues and root causes.
- Ensure Operational Excellence: Own the delivery and reliable operation of production ML/AI platforms, ensuring timely delivery, managing risk, and maintaining systems in accordance with established SLOs (Service Level Objectives), appropriate metrics, monitoring, and security.
- Architect the Agentic Future: You will oversee the development of Agentic Platforms and help the team navigate the transition from static model serving to dynamic agent orchestration, including reasoning loops and tool‑augmented generation.
- Champion Team & Talent Development: Actively promote formal and informal mentoring, provide growth opportunities to your team, and build an inclusive team environment that fosters a culture of seeking out and delivering candid feedback.
Your Story (Requirements)
- You are a proven domain expert and leader ready to manage one or more engineering teams, accountable for technical delivery, quality, and hiring in the ML Platform space. You should be able to demonstrate:
- Deep Domain Expertise: 8+ years of related experience or equivalent, with deep technical expertise in ML and AI production implementation and MLOps and AgentOps principles, including a strong track record in building and operating robust, end‑to‑end machine learning pipelines.
- Proven People Leadership: Proven experience in managing one or more teams with Individual Contributors (ICs) under direct management. You possess the ability to empower your team to ship high-quality code at pace, helping them navigate trade-offs between perfect and 'production-ready'.
- Cloud & Platform Fluency: Expert knowledge of technology concepts such as streaming, architecture and AI-components like model stores or feature stores, with hands‑on experience on cloud platforms (GCP preferred) and automated CI/CD for ML.
- Collaborative Influence: You are an exceptional communicator and a genuine team player, adept at guiding team decisions, fostering consensus through professional influence, and effectively conveying complex technical information to diverse audiences.
Senior Lead - AI & Machine Learning Engineer employer: Gravity Engineering Services Pvt Ltd.
At On, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the rapidly evolving field of AI and Machine Learning. Our inclusive work culture encourages continuous learning and professional growth, providing employees with unique opportunities to lead cutting-edge projects that drive global impact. Located in a vibrant tech hub, we offer competitive benefits and a dynamic environment where your contributions directly shape the future of autonomous intelligence.
Contact Details:
Gravity Engineering Services Pvt Ltd. Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Lead - AI & Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and ML space. Attend meetups, webinars, or conferences where you can chat with industry leaders. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to MLOps and AgentOps. 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 related to AI and ML, and be ready to discuss how you've led teams and delivered impactful solutions.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight your leadership experience and technical expertise in AI and ML.
We think you need these skills to ace Senior Lead - AI & Machine Learning Engineer
Some tips for your application 🫡
Show Off Your Expertise:Make sure to highlight your deep domain expertise in ML and AI. We want to see your experience shine through, so don’t hold back on showcasing those robust machine learning pipelines you've built!
Tailor Your Application:Customise your application to reflect the specific requirements of the role. Use the job description as a guide to align your skills and experiences with what we’re looking for. It shows us you’re genuinely interested!
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured responses that get straight to the heart of your achievements and how they relate to 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 ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Gravity Engineering Services Pvt Ltd.
✨Know Your MLOps Inside Out
Make sure you brush up on MLOps best practices and be ready to discuss how you've implemented them in your previous roles. Be prepared to share specific examples of how you've ensured scalable and reliable systems in your past projects.
✨Showcase Your Leadership Skills
As a Senior Lead, you'll need to demonstrate your ability to manage teams effectively. Think of instances where you've empowered your team to make decisions or navigate challenges. Highlight your mentoring experiences and how you've fostered an inclusive environment.
✨Understand the Business Impact
Be ready to talk about how your technical decisions have driven business outcomes. Research the company’s goals and think about how your expertise in AI and ML can align with their strategic objectives. This shows that you’re not just a techie but also a business-minded leader.
✨Prepare for Technical Deep Dives
Expect to dive deep into technical discussions during your interview. Brush up on your knowledge of cloud platforms, streaming architectures, and agent orchestration. Be ready to explain complex concepts in simple terms, as effective communication is key in this role.
