Senior AI Engineer
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Job Description
Senior AI Engineer at Aveni driving next-gen AI systems for financial services. Develop and deploy advanced language models in production scale environments.
Responsibilities:
- Build and optimise LLM-powered systems
- Architect, fine-tune and optimise machine learning models including LLMs and classical ML approaches
- Experiment with modern architectures such as Transformers and Mixture-of-Experts
- Apply efficient training and fine-tuning techniques including LoRA and parameter-efficient methods
- Develop robust evaluation approaches to measure model quality and reliability
- Develop scalable AI systems
- Build and deploy production-grade NLP pipelines and services
- Ensure models operate efficiently with low latency and high availability
- Integrate models into scalable cloud infrastructure and real-world applications
- Lead the acquisition, processing and governance of large structured and unstructured datasets
- Apply exploratory data analysis and validation techniques to improve training pipelines
- Ensure data privacy and governance standards suitable for financial services
- Contribute to DevOps and MLOps pipelines
- Implement robust version control, testing and CI/CD workflows
- Support reliable deployment and monitoring of models in production environments
- Mentor engineers and contribute to the technical growth of the team
- Work closely with product, engineering and data teams to deliver AI solutions
- Stay at the forefront of AI and NLP research, applying new approaches where they add value
Requirements:
- Significant experience building, training and deploying machine learning models
- Strong Python skills with experience using NumPy, Pandas, SciPy and modern ML frameworks such as PyTorch or TensorFlow
- Experience working with large-scale unstructured data
- Experience building and deploying production-ready NLP systems
- Familiarity with API integrations and data acquisition pipelines
- Experience implementing software engineering best practices including Git and agile development
- Experience working with cloud environments (preferably AWS)
- Experience with containerisation technologies such as Docker or Kubernetes (Nice to have)
- Experience with frameworks such as vLLM or NeMo (Nice to have)
- Knowledge of financial services NLP applications (Nice to have)
- Experience designing evaluation methodologies for LLM outputs (Nice to have)
- Experience building intelligent agents or multi-agent systems (Nice to have)
Benefits:
- Remote-first working across the UK
- Work abroad policy
- Co-working spaces available
- 34 days holiday (including flexible bank holidays) and your birthday off
- Company-wide off-sites
- Optional Personal Development Plan
- Flexible benefits platform
- Protection essentials including Life Insurance, Income Protection, Critical Illness cover, and Pension (up to 5% matched employer contribution with optional increased contributions)
- Private health and dental care
- Potential share options
- Enhanced family leave
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