Staff AI/ML Engineer
Location: Remote (UK)
Employment Type: Full-time
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 Ownership
* Lead 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 Collaboration
* Work 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 Leadership
* Define 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 Sharing
* Support 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 Scale
* Tackle challenges related to data quality, interpretability, bias, and reliability.
* Build processes and infrastructure that make AI/ML workflows efficient, robust, and repeatable.
Documentation & Continuous Improvement
* Contribute 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 Highlights
* Python
* Java
* AWS (including Bedrock)
* Claude
* Terraform
* Docker
* MySQL
* GitHub & GitHub Actions
Perks and Benefits
* Competitive salary package
* 25 days holiday (Not including bank holidays)
* Flexible remote working
* Parental leave support
* Work-from-anywhere for up to 5 days a year
* “Getting Started” remote work budget
* Pension scheme
* And more
Important Notes
* Unfortunately, we are not able to offer visa sponsorship for this role.
* Applications should be based in the UK.