Senior AI Engineer

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Design and enhance systems powered by LLM technology.

• Architect, fine-tune, and optimize machine learning models, encompassing both LLMs and traditional ML methodologies.

• Experiment with cutting-edge architectures, including Transformers and Mixture-of-Experts.

• Implement effective training and fine-tuning strategies, such as LoRA and parameter-efficient techniques.

• Establish robust evaluation methods to assess model quality and reliability.

• Create scalable AI systems.

• Construct and deploy production-quality NLP pipelines and services.

• Ensure models function efficiently, maintaining low latency and high availability.

• Integrate models within scalable cloud infrastructures and real-world applications.

• Lead the acquisition, processing, and governance of extensive structured and unstructured datasets.

• Employ exploratory data analysis and validation methods to enhance training pipelines.

• Uphold data privacy and governance standards appropriate for the financial services sector.

• Contribute to DevOps and MLOps workflows.

• Implement robust version control, testing, and CI/CD processes.

• Support dependable deployment and monitoring of models in production settings.

• Mentor engineers and assist in the technical development of the team.

• Collaborate closely with product, engineering, and data teams to deliver AI solutions.

• Stay ahead of AI and NLP research, applying new methodologies where beneficial.

⛳️ Requirements

• Extensive experience in building, training, and deploying machine learning models.

• Proficient in Python, with experience in using NumPy, Pandas, SciPy, and contemporary ML frameworks like PyTorch or TensorFlow.

• Experience handling large-scale unstructured data.

• Proven track record in developing and deploying production-ready NLP systems.

• Familiarity with API integrations and data acquisition workflows.

• Experience applying software engineering best practices, including Git and agile development methodologies.

• Familiarity with cloud environments, preferably AWS.

• Experience with containerization technologies such as Docker or Kubernetes (desirable).

• Familiarity with frameworks like vLLM or NeMo (desirable).

• Understanding of NLP applications within financial services (desirable).

• Experience in designing evaluation methodologies for LLM outputs (desirable).

• Experience in developing intelligent agents or multi-agent systems (desirable).

🏝️ Benefits

• Remote-first working environment across the UK.

• Work abroad policy available.

• Access to co-working spaces.

• 34 days of holiday (including flexible bank holidays) plus your birthday off.

• Company-wide off-site events.

• Optional Personal Development Plan.

• Flexible benefits platform.

• Essential protection benefits, including Life Insurance, Income Protection, Critical Illness coverage, and Pension (with up to 5% matched employer contribution and options for increased contributions).

• Private health and dental care.

• Potential share options.

• Enhanced family leave.