Applied Machine Learning Engineer, EMEA

fireworksai; London (KY); On-site; USD 140,000 - 190,000; Full time

Job summary

Fireworks AI is seeking an Applied Machine Learning Engineer to bridge cutting-edge AI research and real-world applications. You will develop, fine-tune, and operationalize ML models that deliver business value and better user experiences, blending deep technical work with a strong customer focus.

In this hands-on role, you’ll collaborate with GTM and Solutions Architects to deploy solutions, build PoCs, and contribute to a scalable AI platform.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• 5+ years in a software engineering role, with a strong preference for customer-facing roles.
• Robust coding skills, preferably Python.
• Led and executed complex technical projects with customer focus.
• Strong interpersonal and communication skills in cross-functional teams.

Responsibilities

• Collaborate directly with the GTM team to ensure smooth integration and deployment of ML solutions.
• Build and present PoCs that demonstrate the capabilities of our AI technology.
• Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs.
• Contribute to the internal ML platform, including adding features and resolving issues.
• Integrate and enable new machine learning models into client environments.
• Improve system performance, efficiency, and scalability of deployed models and applications.
• Work closely with partners to enable joint AI solutions and ensure seamless collaboration.

Skills

Python

Customer-facing

Software engineering

Leadership

Communication

Education

Bachelor's degree

Master's degree

Job description

About Us:

Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.

The Role:

As an Applied Machine Learning Engineer, you will serve as a vital bridge between cutting-edge AI research and practical, real-world applications. Your work will focus on developing, fine-tuning, and operationalizing machine learning models that drive business value and enhance user experiences. This is a hands-on engineering role that combines deep technical expertise with a strong customer focus to deliver scalable AI solutions.

Key Responsibilities:

• Customer Success: Collaborate directly with the GTM team (Account Executives and Solutions Architects) to ensure smooth integration and successful deployment of ML solutions.

• Demo / Proof of Concept (PoC): Build and present compelling PoCs that demonstrate the capabilities of our AI technology.

• Application Build: Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs.

• Platform Features / Bug Fixes: Contribute to the internal ML platform, including adding features and resolving issues.

• New Model Enablements: Integrate and enable new machine learning models into the existing platform or client environments.

• Performance Optimizations: Improve system performance, efficiency, and scalability of deployed models and applications.

• Partnership Enablement: Work closely with partners to enable joint AI solutions and ensure seamless collaboration.

Minimum Qualifications:

• 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.

Preferred Qualifications:

• 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.

Why Fireworks?

• 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.