Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead AI-driven projects, modernise systems, and enhance developer efficiency.
- Company: Join Volaris, a leader in innovative AI solutions and software development.
- Benefits: Enjoy career growth, collaborative culture, and the chance to work on cutting-edge projects.
- Why this job: Be at the forefront of AI transformation, making a real impact across industries.
- Qualifications: Strong AI expertise and a proven track record in delivering measurable results.
- Other info: Opportunity to lead a small team and set benchmarks for efficiency.
The predicted salary is between 43200 - 72000 £ per year.
Key Highlights
- AI/ML Solutions: Built scalable AI tools and pipelines (e.g., fine-tuning BERT, multimodal ML models) and delivered measurable improvements like a 10% boost in classification accuracy.
- System Modernization: Proficient in optimizing workflows, reducing technical debt, and modernizing legacy systems.
- Automation and Efficiency: Developed automated solutions, including CI/CD pipelines, testing frameworks, and predictive models to enhance efficiency.
- Collaboration and Impact: Demonstrated success in cross-functional teamwork and delivering high-impact, scalable projects across industries.
Role Overview
As an AI-Powered Solutions Developer, you will be at the forefront of Volaris' transformation efforts. Your role will involve modernizing legacy systems, enhancing developer efficiency, reducing technical debt, and applying AI-driven tools to optimize workflows. This is a hands-on role for someone eager to explore unproven areas, create innovative solutions, and deliver tangible results. You’ll collaborate with development teams across businesses to build tools, establish best practices, and showcase how AI can create measurable improvements. With the opportunity to evolve into leading a small team, your work will set new benchmarks for efficiency and modernisation across Volaris.
Competencies
- High Impact: Thrives in a small, focused team with high expectations for delivering value.
- Problem Solver: Comfortable exploring and solving unproven or undefined challenges.
- AI Expertise: Strong understanding of AI, LLMs (Large Language Models), and emerging generators.
- Continuous Learner: Driven to seek out, learn, and apply new technologies.
- Adaptable: Proficient in switching across technologies, toolsets, and working with both legacy and modern systems.
- Project Focused: Maintains a clear focus on milestones and timelines.
Key Responsibilities
- Blend technical expertise with clear, impactful storytelling.
- Focus demos on policy relevance and audience-specific needs.
- Prioritise practical, tangible examples over abstract theory (“show, don’t tell”).
- Illustrate both opportunities and risks clearly.
- Make complex topics accessible to non-technical audiences.
- Demonstrate AI’s real-world implications explicitly (national security, government applications).
- Maintain a library of adaptable, scenario-specific demonstrations.
- Collaborate closely across technical, research, and policy teams.
- Anticipate future capabilities and societal impacts in demos.
- Balance accuracy with simplicity and clarity in presentations.
Qualifications
- Deep understanding of AI and its applications in full software development lifecycle.
- Track record of successfully implementing projects with measurable results.
Why Join Volaris?
- Innovative Projects: Explore cutting-edge AI applications in software development.
- Career Growth: Shape the future of development within Volaris and influence teams across businesses.
- Collaborative Environment: Work alongside industry leaders in a results-driven culture.
Contact Detail:
Volaris Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and ML, particularly in areas like BERT and multimodal models. This knowledge will not only help you during interviews but also demonstrate your commitment to staying updated in a rapidly evolving field.
✨Tip Number 2
Showcase your experience with automation tools and CI/CD pipelines. Be prepared to discuss specific projects where you've implemented these solutions, as this aligns closely with the role's focus on enhancing efficiency and modernising systems.
✨Tip Number 3
Highlight your collaborative skills by sharing examples of successful cross-functional projects. Emphasising your ability to work with diverse teams will resonate well, given the role's emphasis on teamwork and delivering high-impact results.
✨Tip Number 4
Prepare to discuss how you've tackled undefined challenges in previous roles. The ability to problem-solve in unproven areas is crucial for this position, so having concrete examples ready will set you apart from other candidates.
We think you need these skills to ace Senior AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI/ML solutions, particularly any projects where you've built scalable tools or improved classification accuracy. Use specific metrics to demonstrate your impact.
Craft a Compelling Cover Letter: In your cover letter, emphasise your problem-solving skills and adaptability. Mention specific examples of how you've modernised legacy systems or developed automated solutions that enhanced efficiency.
Showcase Collaboration Skills: Highlight your experience in cross-functional teamwork. Provide examples of successful projects where you collaborated with different teams to deliver high-impact results, showcasing your ability to communicate complex topics clearly.
Demonstrate Continuous Learning: Mention any recent courses, certifications, or technologies you've learned that are relevant to AI and software development. This shows your commitment to staying updated in a rapidly evolving field.
How to prepare for a job interview at Volaris Group
✨Showcase Your AI Expertise
Be prepared to discuss your experience with AI and ML solutions in detail. Highlight specific projects where you've built scalable tools or improved classification accuracy, as this aligns closely with the role's requirements.
✨Demonstrate Problem-Solving Skills
Expect to face questions that assess your ability to tackle undefined challenges. Share examples of how you've approached complex problems in the past, particularly in modernising legacy systems or optimising workflows.
✨Prepare for Collaborative Scenarios
Since the role involves cross-functional teamwork, think of instances where you've successfully collaborated with diverse teams. Be ready to discuss how you communicated technical concepts to non-technical audiences.
✨Focus on Tangible Results
When discussing your previous work, emphasise measurable outcomes. Use the 'show, don’t tell' approach by providing concrete examples of how your contributions led to significant improvements in efficiency or project success.
