> Markdown version of [/jobs/ext/25780-senior-ai-engineer](https://www.wearedevelopers.com/jobs/ext/25780-senior-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior AI Engineer

- **Company:** Roleimperagen
- **Location:** Manchester, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Big Data, Cloud Computing, Computational Biology, Databases, Information Engineering, Data Infrastructure, Data Systems, Distributed Systems, Python (Programming Language), Knowledge-Based Systems, Machine Learning, Scientific Computating, Software Engineering, Software Systems, Backend, Build Management, AI Platforms, Information Technology, Data Management, Machine Learning Operations
- **Published:** May 23, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/x/37118870/

## About the Role

Required Experience and Qualifications* Bachelor's degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Physics, Engineering, or another quantitative discipline* 5+ years of professional experience building AI, machine learning, software, or data systems in industry, research, or high-performance technical environments, or exceptional evidence of equivalent capability* Strong experience building and deploying AI or machine learning systems* Strong software engineering skills with experience building scalable systems and infrastructure* Hands-on experience with Python and modern AI/ML tooling and frameworks* Experience working with databases, data engineering workflows, and large-scale data systems* Experience designing APIs, backend systems, distributed systems, or scalable technical infrastructure* Experience building or deploying AI-enabled tools, workflow automation systems, or agentic tooling* Strong understanding of modern
machine learning workflows, evaluation, deployment, and monitoring* Strong problem-solving ability and comfort operating in fast-moving, ambiguous technical environments* Strong communication and collaboration skills* High levels of curiosity, ownership, and technical ambition
Preferred Experience* Experience building AI systems in biotech, scientific computing, robotics, computational biology, or other deep-tech environments* Experience working with noisy, sparse, experimental, or highly specialised datasets* Experience using AI-assisted development environments, coding agents, or automated development workflows* Experience working with cloud infrastructure, MLOps, distributed systems, or scalable AI platforms* Familiarity with laboratory automation systems, robotics platforms, or closed-loop experimentation workflows* Experience contributing to fast-moving startup or scale-up environments where execution speed matters* Experience mentoring engineers or contributing to technical leadership initiatives* Interest in protein engineering, computational biology, biocatalysis, scientific AI systems, or autonomous experimentation

## Description

The RoleImperagen is hiring a Senior AI Engineer to help build the AI systems powering the next generation of enzyme engineering.
This is a deeply hands-on role for an ambitious engineer who wants to work on real-world AI systems operating at the intersection of machine learning, robotics, scientific experimentation, and industrial biotechnology.
This is a hands-on senior individual contributor role. You will not be expected to own every technical domain on day one, but you should be comfortable working across AI, software, data, and scientific workflows as the platform evolves.
You will work directly with the CTO, scientists, software engineers, and automation teams to design and scale the company's AI platform, helping connect models, data, robotics, laboratory workflows, and scientific decision-making into a continuously improving closed-loop system.
You will work across machine learning systems, AI-enabled tooling, scientific data infrastructure, automation pipelines, and practical scientific workflows.
This is not a traditional enterprise AI role - we are a startup. You will be building systems that interact directly with real-world experimentation, laboratory robotics, and scientific discovery processes.
We are looking for someone who moves fast, learns quickly, enjoys technical intensity, and is excited by the challenge of building practical AI systems inside a high-ambition deep-tech startup company.
Responsibilities* Design, build, and scale AI-powered software systems, machine learning infrastructure, and scientific data platforms* Develop scalable pipelines for biological, experimental, and robotics-generated datasets* Build and deploy AI models, automation systems, and AI-enabled tools that accelerate scientific workflows and internal decision-making* Help architect Imperagen's closed-loop AI, robotics, and scientific data platform* Work closely with scientists and automation engineers to integrate AI systems with laboratory robotics and experimental workflows* Rapidly prototype, iterate, and deploy AI-enabled systems using modern AI-assisted engineering workflows* Leverage AI development tools, coding assistants, and automated engineering workflows to maximise development speed and experimentation velocity* Contribute to scientific database architecture, knowledge systems, and scalable data infrastructure* Solve difficult technical problems across machine learning, data
systems, infrastructure, and scientific computing* Participate in technical planning, architecture discussions, and platform evolution as the company scales* Collaborate across AI, software, robotics, scientific, and operational teams to build tightly integrated technical systems* Support and mentor junior engineers as the engineering organisation grows


## Related Videos

- [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock)
- [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology)
- [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases)
- [AI in High-Stakes Industries: Lessons Learned](https://www.wearedevelopers.com/videos/100253-ai-in-high-stakes-industries-lessons-learned)
- [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean)
- [HR ROBO SAPIENS: Decoding AI Agents and Workflow Automation for Modern Recruitment](https://www.wearedevelopers.com/videos/1470-hr-robo-sapiens-decoding-ai-agents-and-workflow-automation-for-modern-recruitment)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [Will AI replace Software Engineers?](https://www.wearedevelopers.com/magazine/340-will-ai-replace-software-engineers)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)