Senior ML Engineer
Aveni · Remote · United Kingdom ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Senior ML Engineer
- Fully remote (UK)
- LLM & NLP focus
- Python & PyTorch
- Financial services
Join Aveni’s NLP team to develop agentic AI systems that streamline workflows for banks and financial advisers. You will architect, fine-tune, and deploy large language models at scale, focusing on low latency and high reliability within strict regulatory frameworks.
The role requires hands-on engineering of MLOps pipelines, data governance strategies, and model evaluation methods. You will collaborate with product and engineering leaders to integrate advanced AI solutions into real-world financial applications.
What you'll do
- Architect, fine-tune, and optimize LLMs and classical ML models
- Build and deploy production-grade NLP pipelines and services
- Lead acquisition, processing, and governance of large datasets
- Implement efficient training techniques like LoRA and parameter-efficient methods
- Contribute to DevOps and MLOps pipelines including CI/CD workflows
- Mentor engineers and guide technical growth within the team
- Ensure data privacy and governance standards for financial services
What you'll need
- Significant experience building, training, and deploying ML models
- Strong Python skills with NumPy, Pandas, SciPy, PyTorch or TensorFlow
- Experience building and deploying production-ready NLP systems
- Familiarity with API integrations and data acquisition pipelines
- Experience with cloud environments, preferably AWS
- MSc or equivalent experience in AI, Machine Learning, or Data Science
- Knowledge of software engineering best practices including Git and Agile
Nice to have
- Experience with Docker or Kubernetes containerisation
- Knowledge of frameworks such as vLLM or NeMo
- Background in financial services NLP applications
- Experience designing evaluation methodologies for LLM outputs
- Experience building intelligent agents or multi-agent systems
Stack
- Python
- PyTorch
- TensorFlow
- NumPy
- Pandas
- SciPy
- AWS
- Docker
- Kubernetes
- vLLM
- NeMo
How you'll work
- Remote-first working across the UK
- Work abroad policy available
- Access to co-working spaces
What you get
- 34 days holiday including flexible bank holidays
- Birthday off and company-wide off-sites
- Private health and dental care
- Pension with up to 5% matched employer contribution
- Life Insurance, Income Protection, and Critical Illness cover
- Optional Personal Development Plan
- Potential share options and enhanced family leave