Staff AI/ML Engineer - #1751790

About the Company:A fast-growing, innovation-led software business delivering specialised tools for professionals in the built environment sector. With two decades of success and a strong global customer base, their vision is to enable better visual storytelling through smart, scalable technology. Backed by a leading private equity firm, they’re expanding rapidly and investing in cutting-edge AI and ML capabilities to take the platform to the next level.

The Role:This is an opportunity for an experienced and technically hands-on Staff Software Engineer – AI/ML to take a leading role in defining, building, and scaling their AI and machine learning capabilities. This is a foundational role that combines technical leadership, strategic thinking, and day-to-day development. We are looking for someone who has focused on hands-on coding rather than management or other hands-off responsibilities.

You’ll architect and build reliable and scalable AI/ML systems, laying the groundwork for a new, dedicated team focused on intelligent product capabilities. With a focus on applied machine learning, generative AI, and cloud-native tools, this is an opportunity to shape the future of the product and how they use data to solve real-world challenges. What

You'll Be Doing:AI/ML Project OwnershipLead the delivery of machine learning initiatives from exploration through to deployment and monitoring. Own the full development cycle for ML systems — including architecture, data pipelines, model training, and production deployment.

Cross-functional CollaborationWork closely with Product, Engineering, and DevOps teams to embed intelligent features into our platform. Ensure smooth end-to-end integration of AI/ML functionality within broader product development efforts. Technical LeadershipDefine best practices for MLOps, model deployment, and performance tuning.

Evaluate and implement new frameworks, tools, and cloud-native AI solutions (including LLMs). Make strategic technical decisions that align with broader business goals. Mentoring & Knowledge SharingSupport the growth of others through coaching, peer programming, and technical reviews.

Share learnings and help foster a culture of innovation and experimentation. Problem Solving at ScaleTackle challenges related to data quality, interpretability, bias, and reliability. Build processes and infrastructure that make AI/ML workflows efficient, robust, and repeatable.

Documentation & Continuous ImprovementContribute to internal documentation and knowledge sharing resources. Refine and evolve ML playbooks and processes to support a growing team and evolving product needs. Requirements:7+ years of hands-on experience in AI/ML, including production-level deployment.3+ years in a senior or lead technical position, ideally within a product-focused SaaS environment.

Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as-code tools like Terraform. Solid understanding of large-scale data pipelines, distributed systems, and microservice architectures.

Comfortable working with LLMs, model fine-tuning, and building features powered by generative AI.Experience setting up CI/CD pipelines for ML workflows and maintaining scalable systems in the cloud. A proven track record of mentoring peers and leading by example. Strong communication and stakeholder engagement skills.

A degree in Computer Science, Engineering, Data Science, or a similar field. Tech Stack HighlightsPythonJavaAWS (including Bedrock)ClaudeTerraformDockerMySQLGitHub & GitHub ActionsPerks and BenefitsCompetitive salary package25 days holiday (Not including bank holidays)Flexible remote working