Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior AI Engineer

StructureFlow
London
6 months ago
Applications closed

Related Jobs

View all jobs

Snowflake Data Engineer (Python, ETL, SQL) REMOTE UK

Senior Data Engineer | Cambridge | Greenfield Project

Senior Computer Vision Engineer

Senior AWS Data Engineer - London - £125,000

Senior Machine Learning Engineer

Senior Data Engineer

This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board.

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.

#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.