At a Glance
- Tasks: Lead AI initiatives, develop cutting-edge models, and mentor a dynamic team of engineers.
- Company: Join Movar, an award-winning company transforming project delivery with innovative solutions.
- Benefits: Enjoy a people-first culture, competitive salary, and opportunities for professional growth.
- Other info: Exciting growth phase with excellent career advancement opportunities.
- Why this job: Be at the forefront of AI innovation and make a real impact in a growing company.
- Qualifications: Experience in AI/ML engineering and leadership, with a strong technical background.
The predicted salary is between 75600 - 92400 £ per year.
At Movar, we understand that project delivery is getting increasingly complex. Since 2013, we’ve been helping companies of all sizes improve the way projects are delivered. Our mission is to be the number one provider of innovative project solutions, driven by a community of experienced, caring, and passionate project professionals—all seeking to improve the way projects are delivered. Our vision is simple yet powerful: to improve the lives of people everywhere through the delivery of projects. We provide tailored services ranging from organisational systems implementation to project transformation and complete programme recovery. We’re proud to have been named Winners of the Global Project Controls Innovation of the Year Award 2024.
Why Join Movar? Movar is in an exciting period of growth, and there’s never been a better time to be part of our journey. We’re building something special—scaling our business while staying true to our people-first approach. At Movar, we invest in our teams, fostering an environment where development is valued and individuals are encouraged to grow with the company. Our unique culture sets us apart from other consulting practices, and we’re keen to build a team that is as ambitious as we are.
Our IDEAL Values:
- Integrity – We do the right thing, always.
- Drive – We push boundaries and strive for excellence.
- Empathy – We care deeply about our people and clients.
- Adaptability – We embrace change and thrive in it.
- Loyalty – We stand by each other and our mission.
Job Summary
We are seeking a Principal AI Engineer with exceptional technical expertise and leadership capabilities to drive our artificial intelligence initiatives forward. This role is ideal for a technical visionary who combines deep expertise in AI, machine learning, and software engineering with the ability to lead cross-functional teams and shape technical strategy. The ideal candidate will drive innovation by architecting cutting‑edge agentic AI solutions, leading technical teams, and establishing Next Practice for AI development across the organisation and industry. This is a high‑impact role that requires both technical excellence and leadership acumen to shape the future of AI within our company and mentor the next generation of AI engineers.
Key Responsibilities
- Technical Leadership & Architecture: With Pillar Lead, define and execute agentic strategy for Movos platform. Lead the design of scalable, robust agentic and data architectures that align with business objectives. Establish technical standards, next practice, and development methodologies for AI/ML projects.
- AI/ML Development & Innovation: Lead the development of advanced AI/ML models and systems, from research through to production deployment. Drive innovation in machine learning algorithms, neural networks, and emerging AI technologies including generative AI and multi‑modal systems. Oversee the implementation of MLOps pipelines, model monitoring, and automated deployment systems.
- Team Leadership & Mentorship: Lead and mentor a team of AI engineers, data scientists, and data engineers. Foster a culture of technical excellence, continuous learning, and innovation within the Agentic Engineering team. Collaborate closely across pillars to deliver impactful AI solutions.
- Research & Development: Stay at the forefront of AI research and emerging technologies, evaluating and integrating cutting‑edge techniques into our technology stack. Contribute to open‑source projects and represent the company at technical conferences and industry forums. Drive proof‑of‑concept initiatives and experimental projects to explore new AI capabilities.
- Technical Governance & Quality: Establish robust testing frameworks, performance monitoring, and quality assurance processes for AI systems. Ensure AI solutions meet enterprise standards for reliability, scalability, security, and compliance. Lead technical reviews and provide guidance on complex AI engineering challenges.
- Technical Expertise: Deep expertise in AI/ML frameworks—TensorFlow, PyTorch, Scikit‑Learn, Transformers—cloud platforms (AWS, Azure, GCP), and modern software engineering practices. Strong background in deep learning, natural language processing, computer vision, or reinforcement learning.
- Engineering Excellence: Proven experience building production‑scale AI systems with focus on performance, reliability, and maintainability. Expertise in software architecture, distributed systems, and DevOps/MLOps practices.
- Leadership & Collaboration: Demonstrated ability to lead technical teams, drive consensus on technical decisions, and collaborate effectively across departments. Experience mentoring engineers and fostering technical growth.
- Innovation & Problem‑Solving: Track record of solving complex technical challenges and delivering innovative AI solutions that create measurable business impact.
Qualifications & Experience
- Demonstrable experience in AI/ML engineering, with at least 2 years in a senior technical leadership role.
- Master’s or post‑graduate degree in Data Science, AI Engineering, or related fields requiring statistical rigour.
- Proven track record of leading the development and deployment of production AI systems at scale.
- Strong publication record or contributions to open‑source AI projects preferred.
- Experience with modern software development practices including CI/CD, testing frameworks, and agile methodologies.
Office Address: Unit 3 Knot House, 6 Brewery Square, London SE1 2LF Movar Group Limited is registered in England and Wales number: 08603258 VAT No: GB 168982251
AI Engineer employer: Movar Limited
As a leading project delivery firm in the UK, we pride ourselves on our people-first culture that prioritises employee well-being and development. Joining our Data & AI team as a Graduate Data Engineer means you'll have access to exceptional growth opportunities, mentorship from seasoned professionals, and the chance to work on impactful projects that shape the future of cloud data systems.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Movar Limited or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Movar Limited.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Movar Limited.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Movar Limited that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Movar Limited.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Movar Limited and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Movar Limited
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Movar Limited uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
