Senior AI Engineer

StructureFlow
London
1 month 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.

Requirements

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

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

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

Benefits

  • Competitive salary
  • Opportunity to join a dynamic startup in our mission to become the critical infrastructure for transactions of the future.
  • 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
  • Flexible working – 3 days in our WeWork London office
  • Learning & development budgets and support
  • Regular socials and events for the whole company

Related Jobs

View all jobs

Senior AI Engineer

Senior AI Engineer

Senior AI Software Engineer

Senior Generative AI Engineer

Generative AI Engineer

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.

Data Science vs. Data Mining vs. Business Intelligence Jobs: Which Path Should You Choose?

Data Science has evolved into one of the most popular and transformative professions of the 21st century. Yet as the demand for data-related roles expands, other fields—such as Data Mining and Business Intelligence (BI)—are also thriving. With so many data-centric career options available, it can be challenging to determine where your skills and interests best align. If you’re browsing Data Science jobs on www.datascience-jobs.co.uk, you’ve no doubt seen numerous listings that mention machine learning, analytics, or business intelligence. But how does Data Science really differ from Data Mining or Business Intelligence? And which path should you follow? This article demystifies these three interrelated yet distinct fields. We’ll define the core aims of Data Science, Data Mining, and Business Intelligence, highlight where their responsibilities overlap, explore salary ranges, and provide real-world examples of each role in action. By the end, you’ll have a clearer sense of which profession could be your ideal fit—and how to position yourself for success in this ever-evolving data landscape.

UK Visa & Work Permits Explained: Your Essential Guide for International Data Science Talent

Data science has rapidly evolved into a driving force for businesses and organisations worldwide. In the United Kingdom, companies across sectors—including finance, retail, healthcare, tech start-ups, and government agencies—are turning to data-driven insights to boost competitiveness and innovation. Whether you specialise in statistical modelling, machine learning, or advanced analytics, data scientists are in high demand throughout the UK’s vibrant tech ecosystem. If you’re an international data scientist aiming to launch or grow your career in the UK, one essential part of the journey is navigating the country’s visa and work permit system. From understanding how to secure sponsorship as a Skilled Worker to exploring the Global Talent Visa for leading experts, this article will help you understand the most relevant routes, criteria, and practical steps for your move. Let’s delve into everything you need to know about working in data science in the UK as an international professional.

Top UK Data Science Labs and Institutes: Where Innovation Meets Opportunity

Data has become the linchpin of modern innovation. From forecasting consumer behaviour to enabling cutting-edge health research, data science underpins breakthroughs across nearly every industry. In the United Kingdom, the data science landscape is particularly robust, fuelled by a blend of academic excellence, government support, and vibrant private-sector collaborations. For jobseekers or career-changers keen to explore opportunities in this exciting field, DataScience-Jobs.co.uk offers a gateway to the latest openings, news, and resources. In this in-depth article, we’ll tour the top UK data science labs and institutes, highlight the unique research and career paths available, and outline how you can position yourself to thrive in a field that’s as dynamic as it is rewarding.