Machine Learning Engineer - United Kingdom - Freyda

    Freyda
    Freyda United Kingdom

    2 weeks ago

    Default job background
    Technology / Internet
    Description

    About Freyda:

    Freyda is an ambitious FinTech startup on a mission to eradicate manual data entry for financial services. We're aiming to improve the quality of life for workers across the world who spend up to 40% of their time completing manual low-value tasks such as data entry.

    We've been awarded three Innovate UK projects, received backing from Google and have grown our sales 5x over 2023. Freyda has an international client base that we are looking to scale through 2024. It's an exciting time to join the team, enhancing our machine learning based SaaS platform with new customer facing and operational features to support our on-going growth.

    Role:

    Freyda is looking for a passionate and talented machine learning engineer to join our friendly and collaborative team. This role is central to our mission, requiring a blend of creativity, technical proficiency, and a drive to bring novel concepts to fruition in a production setting. You'll contribute to various phases of project development, from conceptualization to deployment, ensuring our solutions not only meet but exceed industry standards and client expectations.

    Location: United Kingdom

    Salary: £50,000 to £60,000 (subject to experience)

    Key Responsibilities:

    • Leading role in development and integration of LLMs and information extraction technologies into our SaaS platform
    • Participate in the full project lifecycle, ensuring our ML solutions are robust and reliable.
    • Manage ML models in production, focusing on scalability and continuous improvement.
    • Simplify complex technical concepts for non-technical stakeholders.
    • Continually refine our ML strategies based on feedback and evolving needs.

    Relevant Skills and Experience:

    • 3+ years of Python experience in a commercial setting.
    • Proven track record with ML models in production.
    • Solid understanding of data science and ML model development.
    • Knowledge of DevOps culture and CI/CD practices.
    • Self-motivated and accountable, with the ability to work effectively both independently and as part of a small, agile team.
    • Excellent communication skills.
    • Passionate about ongoing skills development, eager to take on new challenges and technologies.

    Desirable skills:

    • Experience with AWS, including serverless and IAM.
    • Knowledge of NLP techniques and Large Language Models in practice.
    • Proficiency in ML frameworks (e.g., PyTorch, TensorFlow, or Hugging Face Transformers).
    • Familiarity with cloud-based ML services.
    • MLOps experience, especially with versioning tools for data and models.

    Benefits:

    • Competitive salary, negotiable on experience
    • Options for equity in a well-positioned startup
    • Strong and supportive team culture
    • Flexible and remote working environment
    • Work with a variety of modern and cutting edge technologies
    • Options for co-working environment / space