Senior Machine Learning Engineer

Senior Machine Learning Engineer role at Agreena

Agreena is a purpose‑oriented ag‑tech company dedicated to mobilising farmers and corporations to unlock the value of nature and drive both environmental and financial sustainability in farming.

With over 160 employees across 30 nationalities, we operate from Copenhagen, London and remotely. Our multidisciplinary team includes soil‑carbon scientists, software developers, market strategists and regulatory experts.

We are looking for a strategic Senior Machine Learning Engineer to build the backbone of our planet‑scale intelligence platform. You will design and implement high‑performance, distributed systems to train, fine‑tune and serve advanced ML models at scale.

• Planet‑Scale ML Platform: Design and develop a distributed ML platform using Ray, improving efficiency across pipelines and processing terabytes of geospatial and multimodal data.
• SOTA Model R&D: Experiment with, train and deploy state‑of‑the‑art Computer Vision (satellite/remote sensing) and NLP models to power our MRV platform.
• Foundational Model Factory: Build and refine pipelines for fine‑tuning foundational models (e.g., PEFT, LoRA) into specialized agronomy, soil science and remote‑sensing expert models.
• AI Agent Ecosystem: Develop autonomous AI agents, including observability, monitoring and evaluation frameworks (LLM‑ops) to ensure reliability, accuracy and continuous improvement.

• 5+ years in a Machine Learning Engineer role.
• Deep hunger to build and ship reliable systems, not just run experiments.
• Passionate about solving meaningful problems in climate‑tech and agriculture.
• Collaborative teammate who thrives on shared mission and extra effort.
• High ownership and ability to work with strategic context and autonomy.

• Hands‑on experience building and scaling distributed ML systems; experience with Ray on Anyscale is a big plus.
• Training or fine‑tuning SOTA models in Computer Vision or NLP.
• Knowledge of modern AI stack, including foundational model fine‑tuning and techniques like RAG, PEFT and LoRA.
• Familiarity with building agentic systems (LangChain, LlamaIndex, Pydantic AI) and MLOps/LLM‑ops tools (Weights & Biases, Arize, TruEra, Logfire).
• Shipping a project from ideation to production, owning deployment and liaising with product teams.
• Technical leadership on internal tooling, code quality, processes and standardisation.
• Bonus: Experience with geospatial data (satellite imagery, GIS) or background in agriculture/climate‑tech.

• Opportunity to shape a fast‑growing tech scale‑up with a mission to reverse climate change.
• Global, diverse environment to collaborate and socialise.
• Competitive compensation and holidays.
• Centrally located modern office in Copenhagen or London, with flexible remote options.
• Team events throughout the year.
• Purpose‑led culture and mission‑driven environment.
• Open communication and supportive feedback culture.

At Agreena, we are devoted to building an environment that promotes equality, inclusion, and diversity. We celebrate and embrace everyone’s uniqueness and are committed to a welcoming and diverse workplace for all.