Staff AI/ML Engineer
Hybrid
London, United Kingdom
£ 130,000 / year
Full Time
07-04-2025
Job Specifications
Staff AI/ML Engineer
Location: London (2 days a week in the office)
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.
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.
About the Company
Built to Make an Impact. We exist to harness the power of recruitment to create meaningful change across the world. Our mission is simple but profound: to connect purpose-driven talent with industries that shape a better future. From driving innovation in Tech for Impact, advancing the global Clean Energy transition, to empowering Central Government Public Services, we are a Global Recruitment Group committed to making an impact and leaving a positive legacy. Why We Exist We believe recruitment should do more than fil... Know more
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