Machine Learning Engineers - Relocation Required

Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialise and deploy LLMs into production with measurable impact. We provide the core infrastructure to tune, evaluate, and serve specialised models at scale — pioneering task-specific LLM development and running production-ready workflows that serve millions of requests while optimising for both cost and performance across distributed systems.

Our tightly-knit team was previously involved in the creation of state-of-the-art open-access large language models. We raised a $20M seed led by Index Ventures and ICONIQ in early 2024, and we’re already live in production with customers including Manulife, AT&T, and Deloitte, across travel and financial services — with much more to be announced soon.

We’re looking for an ML Developer Experience Engineer to empower ML engineers and developer teams to leverage reinforcement learning without needing deep RL expertise. You’ll build developer-centric tooling, abstractions, and workflows that make training, evaluating, and deploying RL models intuitive, robust, and scalable — fuelling our customers’ ability to adopt, expand, and own RL use cases.

This role is core to our land-and-expand strategy: your work will enable customers to scale independently, reducing friction and unlocking self-service adoption across organisations. You’ll collaborate closely with Technical Success, Product, and Engineering to identify patterns, extract reusable solutions, and shape the boundary between tooling and product.

Design and build intuitive SDKs, libraries, APIs, and tooling that make RL workflows accessible and productive for developers and ML engineers.

Balance simplicity and flexibility — support common patterns while enabling advanced configurations and extensibility.

Partner with internal teams to refine primitives into documented, reusable modules that accelerate customer success.

Work across the technical and customer success teams to identify recurring customer patterns and workflow bottlenecks.

Act as the translator between customer needs and product evolution — help shape internal libraries into long-term platform capabilities.

Ensure high quality through tests, edge-case handling, and reliability as a core tenet of the developer experience.

Experience building developer-facing libraries, tooling, SDKs, APIs, or frameworks used in production by other developers or teams.

Comfort with Python (mandatory) and/or other languages common in the ML ecosystem.

Understanding of ML workflows, training loops, evaluation, and deployment patterns — RL familiarity is a plus, not a prerequisite.

Strong collaborative skills and ability to influence across technical and customer-facing teams.

Experience with distributed training, PyTorch/JAX, or developer platform tools (e.g., language server integrations, CLI frameworks, documentation systems).

Competitive compensation package benchmarked to local market.

Private health insurance (or top-up to national coverage, depending on location).

Pension contribution or equivalent retirement benefit.

Unlimited PTO — we strongly encourage at least 5 weeks each year (in addition to local statutory leave).

Mental health, wellness, and personal development stipends.

Visa sponsorship available if you wish to relocate to Paris.