Senior AI Engineer

griffinfire
London
1 day ago
Create job alert

We’re building the world’s first visual modelling solution for corporate structures and transactions. Our mission is to transform the way that professionals work with complex information. Taking what’s traditionally found in impenetrable, text-based legal documents, StructureFlow enables users to dynamically collate, visualise and model information holistically, enabling professionals to cut through complexity through the power of visual working.

StructureFlow has secured Series A funding, we are growing fast and are at an exciting stage of scaling up. We have great traction today, working with over 50 highly engaged international law firms including 3/5 of the UK Magic Circle and a sizable segment of the US AMLAW 200.

This role is an exciting opportunity to join the Engineering team in our scale-up organisation as a Senior AI Engineer. We have been very successful in delivering our product to our customers so far but want your help to level up and leap forwards.

Responsibilities

We are always looking for innovative ways to help our clients visualise data more easily and to remove as much manual effort in creating diagrams as possible. The rise of generative AI marks an inflection point in the evolution of data visualisation giving our users the ability to create, query, and manipulate complex diagrams using unstructured sources of data. The Senior AI Engineer will take a hands-on role in enhancing our product AI features but will also take a wider view in understanding client requirements about a rapidly evolving area of technology.

  1. You will have commercial experience in deploying Enterprise-ready secure applications.
  2. Highly expert with AI tools using Python (TypeScript also welcome).
  3. Experience with training and evaluating AI models for NLP and CV using libraries such as TensorFlow, PyTorch, Scikit-learn.
  4. Experience with deploying and using AI models on cloud platforms (preferably Azure and OpenAI).
  5. Experience with developing LLM agent-based applications using tools like LangGraph, Autogen, etc.
  6. Experience dealing with the security aspects of using AI models with confidential client information.
  7. Able to explain complex AI implementations to other colleagues and team members.
  8. Experience organising delivery of roadmap specific work tickets and proactively driving the R&D effort to design and evaluate new AI solutions.

Additional Skills

In addition, it would be great if you can demonstrate knowledge of the following:

  1. Familiarity with ontologies for professional knowledge domains like medical or legal.
  2. Visual interface design for presenting AI features.
  3. Awareness of ongoing innovations and solutions in the AI & LLMs domain.
  4. Experience reviewing/publishing papers at AI/ML conferences and journals.

Benefits

  1. Competitive salary.
  2. Opportunity to join a dynamic startup in our mission to become the critical infrastructure for transactions of the future.
  3. High impact work that really matters. Success in this role will drive our company forwards and have an outsized impact on our business and our big-name clients.
  4. Flexible working – 3 days in our WeWork London office.
  5. Learning & development budgets and support.
  6. Regular socials and events for the whole company.

J-18808-Ljbffr

Related Jobs

View all jobs

Senior AI Engineer

Senior AI Engineer

Senior AI Engineer

Senior AI Engineer

Senior AI Engineer

Senior AI Engineer

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Leadership for Managers: Strategies to Motivate, Mentor, and Set Realistic Goals in Data-Driven Teams

Machine learning (ML) has become an indispensable force in the modern business world, influencing everything from targeted marketing campaigns to advanced medical diagnostics. As industries integrate predictive algorithms and data-driven decision-making into their core operations, the need for effective leadership in machine learning environments has never been greater. Whether you’re overseeing a small team of data scientists or spearheading an enterprise-scale ML project, your leadership style must accommodate rapid innovation, complex problem-solving, and diverse stakeholder expectations. This guide provides actionable insights into how you can motivate, mentor, and establish achievable goals for your machine learning teams—ensuring they thrive in data-driven environments.

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.