AI Engineer at Glasswall

We are looking for an AI Engineer to join our growing AI team. This is a highly collaborative and hands-on role suited for someone excited about creating practical, scalable AI applications within a fast-moving technology company.

Responsibilities

• Responsible for identifying, collecting, cleaning, and enriching data for use in AI and ML pipelines.
• Perform detailed data analysis to extract meaningful insights and support model design decisions.
• Build, experiment with, and optimize machine learning models to meet performance requirements.
• Conduct quality assurance on models, ensuring robustness, explainability, and compliance with standards.
• Collaborate effectively with both upstream and downstream engineering sprint teams to integrate AI solutions.
• Participate in Agile AI development teams, contributing to incremental delivery of models alongside quality and performance metrics.
• Support the broader adoption of AI across the organization and contributes to the AI Guild community.
• Propose AI-first strategies and contribute ideas to address business challenges through machine learning.
• Communicate technical recommendations and project outcomes clearly and appropriately to varied internal stakeholders.
• Keep up to date with developments in artificial intelligence, machine learning, deep learning, and emerging technologies.
• Write production-supporting software components, such as data transformation scripts and inference modules, to complement model deployment.
• Contribute to shared libraries and standardised practices for model development and deployment.
• Assist in building and maintaining model pipelines and participate in the MLOps lifecycle.

Required Skills, Experience & Values

The successful candidate will possess the following skills, abilities and experience:

• Have at least 3 years of commercial experience working with Python; familiarity with C# is considered a bonus.
• Demonstrate competence with the software development lifecycle including Git, pull requests, and testing frameworks; experience with Azure DevOps is beneficial.
• Communicate clearly and effectively, with good presentation and explanation skills.
• Bring 3+ years of commercial or academic experience in data science and artificial intelligence.
• Hold an advanced degree in machine learning, computer science, engineering, or a related discipline, with a BSc required and an MSc considered advantageous.
• Experienced in using machine learning frameworks such as Scikit-learn, Keras, and PyTorch, with additional familiarity with MLFlow and AzureML seen as a positive.
• Have working knowledge of CI/CD practices, ML Ops, ML pipelines, automated testing, and platforms such as AzureML, Google Cloud, or AWS.
• Possess hands-on experience in using and developing LLM-powered applications, including retrieval-augmented generation (RAG), prompt engineering, and fine-tuning.
• Produce high-quality, coherent documentation to support their work, even though formal research output is not expected.
• Prior cybersecurity or business domain expertise is not a prerequisite, although would be relevant.
• Work effectively when given direction, with developing ability to tackle problems more independently over time.

We encourage you to apply even if your experience is not a 100% match with the position. We are looking for someone with relevant skills and experience, not a checklist that exactly matches the job description. We want to help you grow, and in return, you help us grow into a stronger, more inclusive organisation.

About Us

We didn’t start out as a traditional security product. In the beginning, Glasswall was one of only two file sanitisation filters in the US Intelligence Community’s highly classified networks. We are rated #1 by the National Security Agency. We designed Glasswall CDR to protect businesses against the most advanced file-based threats. Today, we’re trusted by commercial and government organisations around the world.

In June 2025 Glasswall officially entered a new era of growth and innovation having been acquired by the leading private equity firm, PSG Equity. This marks a significant milestone for our company—one that underscores the strength of our business, the dedication of our team, and the exciting potential that lies ahead.

With PSG’s strong track record of scaling high-growth cybersecurity and technology businesses, we are better positioned than ever to accelerate innovation, expand into new markets, and deliver even greater value to our clients, employees, and stakeholders.

Cybersecurity is a mission-critical field, and we’ve always believed that staying ahead means moving faster, continually adapting to meet new challenges and investing more boldly in the future. This partnership empowers us to do exactly that—while maintaining the same leadership, values, and commitment to excellence that have brought us this far

We’re excited for what’s to come—so now is a great time for you to join us on our journey.

Inclusion

At Glasswall we believe that diversity of people and thought are central to our purpose. We are committed to making Glasswall a company that is attractive to people of many different backgrounds. This includes diversity in every sense of the word: those with different backgrounds, ages, ethnicities, gender identities, sexual orientations, ways of thinking and those with disabilities or neurodivergent conditions. We therefore welcome and encourage applications from everyone, including those from groups that are under-represented in our workforce. 

One of our corporate objectives is to ensure that the organisational health of the firm is highly rated by our employees. We believe that this is only possible if we promote a culture of inclusion and respect across our business. Every six months we survey employees on a range of questions relating to our organisational health. This holds a mirror-up to a business and ensures that we can focus on where we need to do better.

We have an Organisational Health Committee, which is chaired by a non-executive position. The panel has been formed to guide the leadership in taking positive action that supports a good work-life balance, family friendly relations and to be inviting to a diverse range of potential employees.

We also have a Women in Technology Group which has been formed to promote balance in the way that we communicate with, promote, encourage, and support people across our business. 

Work/Life Balance:

Our team puts a high value on work-live balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfilment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Salary and Benefits:

• Glasswall offers a competitive salary.
• Performance related bonus scheme.
• We offer flexible and remote working options, with hybrid working from our Central London office.
• Office travel and incidental WFH expense coverage.
• 25 days holiday (plus public holidays).
• Private Medical Insurance including mental health support and cancer care.
• Enhanced sick pay.
• Annual investment in training and professional development.
• Company sponsored life, critical illness, and income protection insurance.
• Contributory pension scheme.
• Access to ‘salary sacrifice’ benefits such as Cycle to Work and Tech Schemes.

The successful candidate will live in the United Kingdom and is comfortable working from home with some meetings being held in the London office.

Glasswall is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. 

Application process:

Interested candidates should visit http://careers.glasswall.com/ to apply.