SII Group UK
AI Engineer

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AI Engineer for Autonomy
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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Essential Skills & Experience
- Strong Python development experience within commercial or industrial environments.
- Experience developing AI and Machine Learning solutions using frameworks such as PyTorch, TensorFlow, 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, NumPy, 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 DevOps/MLOps principles.
- Strong stakeholder engagement and communication skills with both technical and non-technical 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, TorchScript, FastAPI, or gRPC.
- 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.


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About SII UK
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.
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