Applied ML Engineer — End-to-End Research to Production

Jobgether SRL; Ireland; On-site; EUR 70,000 - 120,000; Full time

Benefits offered by this job

Location: Ireland

Job summary

Jobgether SRL is partnering with a company seeking an Applied ML Engineer based in Ireland. You will work at the intersection of machine learning research, experimentation, and production engineering to translate ideas from research papers into rigorous experiments and reliable products.

You will design evaluation datasets, build production‑grade tooling, and contribute across research, experimentation, engineering, and product to deliver verifiable results.

Qualifications

• Strong Python engineering skills with hands-on ML experience.
• Solid understanding of ML evaluation, datasets, metrics, and reproducibility.
• Ability to read ML research papers and implement methods from first principles.
• Professional software engineering experience beyond notebooks, including APIs and deployment.
• Familiarity with open-weight models and LLM inference systems.
• Experience with evaluation/inference infrastructure and model provenance is a plus.

Responsibilities

• Reproduce and evaluate machine learning research methods using open-weight and API-accessible models.
• Design evaluation datasets, probes, scoring approaches, baselines, calibration tests, and experiment harnesses.
• Work directly with model weights, logits, hidden states, activations, model APIs, and inference infrastructure when required.
• Build and extend evaluation infrastructure covering experiment runners, judges, persistence, orchestration, reporting, and reproducibility.
• Turn research workflows into intuitive product experiences, including experiment configuration, execution, traces, comparisons, reports, and review workflows.
• Investigate how verification methods behave when models are modified through fine-tuning, merging, quantization, distillation, safety removal, or deliberate evasion.
• Design controlled experiments that distinguish meaningful signals from artifacts, confounders, and misleading correlations.
• Produce clear technical reports that separate measured evidence from interpretation and hypotheses.
• Deliver production-quality systems with APIs, asynchronous jobs, databases, observability, testing, deployment, and documentation.
• Contribute across research, experimentation, engineering, and product as priorities evolve.
• During the first six months, reproduce and document at least one published model-provenance or verification method, including its capabilities, assumptions, and limitations.
• Build a repeatable model-verification runner with versioned inputs, artifacts, metrics, and reports, and make at least one verification workflow accessible through the product interface.
• Run controlled experiments across base, fine-tuned, merged, quantized, and known distilled models, improving understanding of when verification methods succeed, fail, and why.

Skills

Python

PyTorch

Hugging Face Transformers

Experiment design

Frontend basics (React/TypeScript)

Tools

Next.js

React

TypeScript

vLLM

Ray

PostgreSQL/pgvector

Job description

Jobgether SRL is partnering with a company seeking an Applied ML Engineer based in Ireland. You will work at the intersection of machine learning research, experimentation, and production engineering to translate ideas from research papers into rigorous experiments and reliable products.

You will design evaluation datasets, build production‑grade tooling, and contribute across research, experimentation, engineering, and product to deliver verifiable results.