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Jobs(30,359)/Machine Learning Engineer Role(357)/Fireworks AI (16) - Applied Machine Learning Engineer, EMEA
Fireworks AI

Fireworks AI - Applied Machine Learning Engineer, EMEA

London, UK1w ago
In OfficeSeniorEMEAArtificial IntelligenceMachine Learning EngineerPythonCustomer Success

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical field. • 5+ years of experience in a software engineering role, with a strong preference for customer-facing roles. • Robust coding skills required, preferably with proficiency in Python. • Demonstrated ability to lead and execute complex technical projects with a focus on customer success. • Strong interpersonal and communication skills; ability to thrive in dynamic, cross-functional teams. • Master’s degree in Computer Science, Engineering, or a related technical field. • Experience working in a startup or fast-paced environment. • Hands-on experience fine-tuning machine learning models, including supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF or RFT). • Solid understanding of generative AI, machine learning principles, and enterprise infrastructure.

Responsibilities

• Customer Success: Collaborate directly with the GTM team (Account Executives and Solutions Architects) to ensure smooth integration and successful deployment of ML solutions. • Customer Success: • Demo / Proof of Concept (PoC): Build and present compelling PoCs that demonstrate the capabilities of our AI technology. • Demo / Proof of Concept (PoC): • Application Build: Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs. • Application Build: • Platform Features / Bug Fixes: Contribute to the internal ML platform, including adding features and resolving issues. • Platform Features / Bug Fixes: • New Model Enablements: Integrate and enable new machine learning models into the existing platform or client environments. • New Model Enablements: • Performance Optimizations: Improve system performance, efficiency, and scalability of deployed models and applications. • Performance Optimizations: • Partnership Enablement: Work closely with partners to enable joint AI solutions and ensure seamless collaboration. • Partnership Enablement:

Benefits

• Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. • Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. • Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. • Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. • Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.

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