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ClearRoute

AI Engineer

Posted 5 Hours Ago
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Hybrid
London, Greater London, England, GBR
Mid level
Hybrid
London, Greater London, England, GBR
Mid level
Design, build, and deploy agentic AI solutions and reusable platform foundations. Prototype AI use cases, integrate LLMs, APIs, and data pipelines, ensure model performance and monitoring, collaborate with product and client teams, and contribute to MLOps best practices.
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About Us:

ClearRoute is an engineering consultancy bridging Quality Engineering, Cloud Platforms and Developer Experience. We help enterprises reliably bring high-impact digital products to market faster, cheaper, and safer, working with technology leaders facing complex business challenges.

We take as much pride in our people, culture and work-life balance as we do in making better software. We’re not just making better software. We’re making the making of software better. Collaborative, entrepreneurial and dedicated to problem solving, we bring the step change our customer need to sustain innovation. Our values challenge us to do the best we can for ClearRoute, our customers and most importantly our team. This is an opportunity for you to build the organisation from the ground up, use your voice to drive change and help transform organisations and problem domains.
We work in a hybrid way, with two days a week working in our offices in either London or Manchester.

Role:

This role is part of an AI platform team that are building reusable foundations to accelerate the adoption of AI (ML & agentic) within one of our largest clients. We are looking for an AI/ML Engineer who can be responsible for designing, building, and deploying agentic AI solutions, working closely with product and client teams to bring use cases into production.

Key Responsibilities:

  • Prototype and iterate on AI use cases rapidly

  • Develop and implement agentic workflows Integrate LLMs, APIs, and data pipelines into scalable solutions

  • Collaborate with PMs and stakeholders to refine requirements

  • Ensure model performance, reliability, and monitoring

  • Contribute to best practices in AI engineering and MLOps

Required Experience:

  • Strong Python with agent frameworks

  • Experience with LLMs and prompt engineering

  • Solid understanding of data pipelines and APIs

  • Experience deploying models in production environments

  • Familiarity with cloud platforms (AWS/Azure/GCP)

  • Strong problem-solving and collaboration skills

Desirable Experience:

  • Knowledge of vector databases and retrieval-augmented generation (RAG)

  • Exposure to MLOps tooling (CI/CD, monitoring, model versioning)

  • Experience in regulated industries (e.g. utilities, energy)

At ClearRoute, we believe diverse perspectives lead to better outcomes, and inclusion creates the conditions for everyone to thrive. We are proud to have built a family friendly working environment and have many employees who have caring responsibilities alongside work. We welcome applications from people who require flexibility and will be happy to discuss needs on an individual basis.

We are committed to fostering a culture where all team members feel respected, supported, and empowered to do their best work. We celebrate individuality and our differences and understand that some differences may mean that you require changes made to the interview process. We are happy to cater to your needs to make the interview accessible, if this is something you require please let us know by emailing us at [email protected]

ClearRoute London, England Office

1 Waterhouse Sq, London, United Kingdom, EC1N 2ST

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