AI Engineer in Glasgow

AI Engineer in Glasgow

Glasgow Full-Time 72000 - 88000 £ / year (est.) No working from home possible
G

At a Glance

  • Tasks: Design and develop advanced AI solutions in a dynamic, multidisciplinary team.
  • Company: Join a leading Aerospace and Defence engineering partner committed to innovation.
  • Benefits: Enjoy a fulfilling work environment with career development opportunities and a focus on collaboration.
  • Other info: Be part of a certified Great Place To Work with a mission to build a sustainable digital future.
  • Why this job: Make a real impact by transforming complex challenges into scalable AI capabilities.
  • Qualifications: Strong Python skills and experience with AI frameworks like PyTorch or TensorFlow.

The predicted salary is between 72000 - 88000 £ per year.

We are seeking an AI Engineer for Autonomy to design, develop and deliver advanced Artificial Intelligence and Machine Learning solutions within complex and safety-critical environments.

Working within a multidisciplinary AI and software engineering team, you will transform business and operational challenges into robust, scalable and secure AI capabilities.

This role offers the opportunity to contribute across the full AI lifecycle, from concept development and model design through to deployment and continuous improvement, while supporting innovation across high-profile defence and technology programmes.

KEY RESPONSIBILITIES

  • Translate business and operational requirements into AI solution designs and measurable outcomes.
  • Develop, train and evaluate AI and Machine Learning models across areas such as computer vision, autonomy, large language models and predictive analytics.
  • Design and maintain robust data processing, training and evaluation pipelines.
  • Apply Responsible AI principles, ensuring model robustness, explainability, security and compliance.
  • Work closely with software engineers to deploy AI capabilities into production environments.
  • Define and monitor model performance metrics, data quality indicators and model drift measures.
  • Produce high-quality, secure and maintainable code following software engineering best practices.
  • Generate technical documentation including architecture designs, model reports and implementation guidance.
  • Develop reusable AI components and frameworks to accelerate future programme delivery.
  • Support customer demonstrations, proof-of-concepts, technical workshops and bid activities.
  • Collaborate with data engineers, architects and cyber security specialists to develop integrated solutions.
  • Evaluate emerging AI technologies and promote continuous improvement and innovation.

ESSENTIAL SKILLS & EXPERIENCE

  • Strong Python development experience within commercial or industrial environments.
  • Experience developing AI and Machine Learning solutions using frameworks such as Py Torch, Tensor Flow or Scikit-Learn.
  • Knowledge of autonomy frameworks such as ROS2 or equivalent technologies.
  • Experience working with Computer Vision, Deep Learning, NLP/LLM or Time-Series Analytics solutions.
  • Strong understanding of data analysis and manipulation using tools such as Pandas, Num Py and SQL.
  • Experience deploying AI models into operational environments.
  • Understanding of Responsible AI principles, model explainability and AI security considerations.
  • Experience using Git and modern software development practices including testing and continuous integration.
  • Knowledge of Agile development methodologies and Dev Ops/MLOps principles.
  • Strong stakeholder engagement and communication skills with both technical and nontechnical audiences.
  • Degree, Master's qualification or equivalent experience in Artificial Intelligence, Software Engineering, Data Science or a related discipline.
  • Eligible to obtain UK Security Clearance (SC).

DESIRABLE SKILLS

  • Experience with MLflow, Weights & Biases or similar experiment-tracking tools.
  • Experience with Spark or large-scale data processing platforms.
  • Knowledge of ONNX, Torch Script, Fast API or g RPC.
  • Experience deploying AI solutions within Azure, AWS or Google Cloud environments. Experience using Docker and containerised deployment approaches.
  • Experience developing software in C++ within safety-critical environments.
  • Experience defining solution architectures or technical governance.
  • Familiarity with large-scale data management and data-labelling strategies.
  • MLOps experience supporting production AI deployments.
  • Contributions to open-source projects, technical publications or patents.
  • Relevant AI, cloud or Agile certifications.

With five strategic offices in Belfast, Chester, Farnborough, London and Oxford, we work in partnership with our customers UK-wide to deliver high-impact engineering solutions.

SII UK is a trusted Aerospace and Defence engineering partner, supporting the delivery of complex, mission-critical programmes while helping to shape the future of innovation across next-generation systems and technologies.

Our teams contribute daily to creating a fulfilling, stimulating and career development focused work environment.

True to our human-centred values, we are committed to making SII UK a Great Place To Work, having been certified 5 years running.

Joining SII UK means being part of our collective goals, guided by our mission “Let’s Tech Together,” and helping to build a digital future that is sustainable, at the heart of an environment that values learning & collaboration.

#J-18808-Ljbffr

AI Engineer in Glasgow employer: Groupe SII

Groupe SII is an exceptional employer that fosters a collaborative and innovative work culture, ideal for those passionate about space systems and technology. Located in the United Kingdom, employees benefit from a dynamic environment that encourages professional growth through continuous learning and development opportunities, while also prioritising safety and compliance in all operations. Join us to be part of a team that values your contributions and supports your career aspirations in the exciting field of aerospace engineering.

G

Contact Details:

Groupe SII Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Engineer in Glasgow

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 Groupe SII 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 Groupe SII.

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 Groupe SII.

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 Groupe SII 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 in Glasgow

Python Development
AI and Machine Learning Solutions
PyTorch
TensorFlow
Scikit-Learn
Computer Vision
Deep Learning

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 Groupe SII.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Groupe SII 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 Groupe SII

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 Groupe SII 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.