Senior Engineer II, Copilots

DigitalOcean; Remote; GBP 100,000 - 130,000; Full time

Job summary

A leading cloud technology firm in the United Kingdom is seeking an Applied Machine Learning Engineer to develop production-grade AI solutions. In this remote role, you will design and implement generative AI applications, optimize architectures, and ensure seamless integrations to deliver valuable business results. The ideal candidate possesses over 5 years of relevant experience, strong expertise in Python, and a solid understanding of MLOps principles. Join a dynamic team committed to innovation and career development.

Benefits

Career development reimbursement

Flexible time-off policy

Employee Assistance Program

Stock Purchase Program

Qualifications

• 5+ years of experience as an ML Engineer, Applied Scientist, or Software Engineer specializing in AI/ML.
• Experience deploying LLM/Generative AI models into production environments.
• Strong background in prompt engineering, data preparation, and vector database technologies.

Responsibilities

• Design, build, and deploy generative AI applications and agents.
• Implement and optimize Retrieval-Augmented Generation architectures.
• Establish frameworks to measure model performance and guard against failure.

Skills

Machine Learning Engineering

Generative AI

Python

MLOps principles

Prompt engineering

Tools

PyTorch

TensorFlow

Hugging Face

Job description

Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.

We're seeking an Applied Machine Learning Engineer to spearhead the technical development of our first production‑grade, agentic AI solutions. You will be a founding technical member of the AI Modernization charter, responsible for bringing AI models to life and demonstrating clear business value to customers. Your focus is on engineering building, reliable, and observable AI systems.

What You’ll Do:

• Design, build, and deploy end‑to‑end generative AI applications and agents using modern frameworks (e.g., LangChain, LlamaIndex).
• Implement and optimize Retrieval‑Augmented Generation (RAG) architectures to ground models in customer‑specific data.
• Establish and execute evaluation frameworks (Evals) and A/B testing methodologies to measure model performance and guard against failure modes (e.g., hallucination).
• Collaborate with the Integrations team to ensure AI solutions are seamlessly integrated into customer products and the DigitalOcean platform.
• Work with the AI Product Manager to translate customer use cases into rapid, iterative AI prototypes and production pilots.

What You’ll Add to DigitalOcean:

• 5+ years of experience as an ML Engineer, Applied Scientist, or Software Engineer specializing in AI/ML.
• Proven experience deploying LLM/Generative AI models into production environments.
• Expertise in Python and common data science/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face).
• Solid understanding of MLOps principles and experience with version control, monitoring, and scaling AI services.
• Strong background in prompt engineering, data preparation, and vector database technologies.
• A portfolio or track record of translating cutting‑edge models into tangible, applied business solutions.

Compensation Range:

• $134,000 - $172,000

*This is a remote role

Why You’ll Like Working for DigitalOcean

• We innovate with purpose. You’ll become part of a cutting‑edge technology company, simplifying cloud and AI so builders can spend more time creating software that changes the world. As a team member, you’ll be an owner thinking big, bold, and scrappy, with a powerful sense of responsibility for customers, products, employees, and decisions.
• We prioritize career development. At DO, you’ll do the best work of your career, working with some of the smartest and most interesting people in the industry. We’re a high‑performance organization that continuously challenges you to think big, and our organizational development team provides resources to ensure you keep growing, including reimbursement for conferences, training, education, and access to LinkedIn Learning’s 10,000+ courses.
• We care about your well‑being. Regardless of location, we offer a competitive array of benefits—from Employee Assistance Program to Local Employee Meetups to flexible time‑off policy—though the specifics may vary by local regulations.
• We reward our employees. The salary range reflects market data, experience, and skills; bonus opportunities and equity—including grants upon hire and the Employee Stock Purchase Program—are also available.
• DigitalOcean is an equal‑opportunity employer. We do not discriminate on race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.