At a Glance
- Tasks: Design and deploy innovative AI solutions while collaborating with diverse teams.
- Company: ClearRoute, a forward-thinking engineering consultancy focused on quality and innovation.
- Benefits: Flexible hybrid work, supportive culture, and opportunities for personal and professional growth.
- Other info: Inclusive environment that values diversity and supports work-life balance.
- Why this job: Join us to shape the future of AI and make a real impact in tech.
- Qualifications: Strong Python skills, experience with AI/ML, and a collaborative mindset.
The predicted salary is between 60000 - 80000 £ per year.
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 customers 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 join@clearroute.io
AI Engineer employer: ClearRoute
At ClearRoute, we pride ourselves on fostering a collaborative and inclusive work culture that prioritises employee well-being and professional growth. As an AI Engineer, you will have the opportunity to work in a hybrid environment, contributing to innovative projects while enjoying a healthy work-life balance. Our commitment to diversity and flexibility ensures that every team member feels valued and empowered to drive meaningful change within the organisation.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with ClearRoute employees on LinkedIn. Building relationships can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving Python, LLMs, and data pipelines. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common AI engineering questions and scenarios. Think about how you can apply your problem-solving skills to real-world challenges at ClearRoute.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the ClearRoute team.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI and machine learning shine through. We want to see how excited you are about the potential of these technologies and how you can contribute to our mission at ClearRoute.
Tailor Your Experience:Make sure to highlight your relevant experience with Python, LLMs, and data pipelines. We’re looking for specific examples that demonstrate your skills in deploying models and working in production environments. The more tailored your application, the better!
Collaborative Spirit:Since we value collaboration, share instances where you've worked closely with teams or stakeholders. Show us how you’ve contributed to problem-solving and refining requirements in past projects. We love a team player!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at ClearRoute
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and ML concepts, especially around agentic workflows and LLMs. Be ready to discuss your experience with Python and how you've integrated APIs and data pipelines in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your problem-solving abilities. Think about challenges you've faced in deploying models or working with cloud platforms like AWS or Azure, and be ready to explain how you tackled them.
✨Collaborate Like a Pro
Since collaboration is key at ClearRoute, think of instances where you've worked closely with product managers or stakeholders. Be prepared to discuss how you refined requirements and ensured model performance through teamwork.
✨Be Open About Your Needs
If you require any adjustments during the interview process, don’t hesitate to reach out. ClearRoute values inclusivity, so being upfront about your needs can help create a comfortable environment for you to shine.
