Principal AI Platform Engineer

Principal AI Platform Engineer

Full-Time 80000 - 100000 £ / year (est.) Home office (partial)
UBDS

At a Glance

  • Tasks: Lead the design and implementation of innovative AI architectures for real-world solutions.
  • Company: Join UBDS Group, a dynamic leader in cloud, data, and AI solutions.
  • Benefits: Enjoy competitive salary, private medical cover, and generous holiday allowance.
  • Other info: Opportunities for continuous learning and professional growth in a supportive environment.
  • Why this job: Shape the future of AI while mentoring the next generation of engineers.
  • Qualifications: Strong engineering background with experience in secure AI platforms and leadership skills.

The predicted salary is between 80000 - 100000 £ per year.

UBDS Group delivers modern cloud, data and AI solutions across public and private sector organisations. We design and build scalable, secure and production‑ready platforms that solve real‑world problems and deliver measurable outcomes.

As a Principal AI Platform Engineer at UBDS, you will lead the design and implementation of AI architectures across complex transformation programmes.

What You’ll Do

  • Lead the design and implementation of AI architectures
  • Help clients move AI solutions from experimentation into secure production delivery for large‑scale user bases
  • Define platform standards covering governance, observability, security, orchestration and operational support
  • Support technical discovery, bids and client architecture discussions
  • Work closely with delivery, account and capability teams to shape AI opportunities
  • Mentor and upskill engineers moving into AI engineering delivery
  • Build reusable engineering patterns, accelerators and reference architectures
  • Support internal AI enablement and automation initiatives across UBDS

What We’re Looking For

Essential Experience

  • Strong hands‑on engineering background with experience delivering secure AI platforms, AI‑enabled applications or machine learning solutions into production environments
  • Deep understanding of modern AI architecture patterns and real‑world operational delivery, including MLOps/Evals
  • Strong Python engineering capability and experience working across cloud‑native engineering environments
  • Experience integrating AI capabilities into wider enterprise, cloud and data ecosystems
  • Experience acting as a senior technical lead, principal engineer or design authority
  • Comfortable working directly with senior client stakeholders
  • Strong mentoring and coaching capability
  • Experience with some of the following technologies or ecosystems:
    • Amazon Bedrock and SageMaker
    • Claude / Anthropic
    • Azure AI Foundry or Azure OpenAI
    • Databricks
    • Vector databases and RAG architectures
    • Agentic AI orchestration frameworks and MCP servers
    • Model and data lifecycle management

Desirable Experience

  • Experience working within public sector or regulated environments
  • Experience with secure government delivery environments
  • Experience contributing to bids, pre‑sales or technical strategy
  • Knowledge of responsible AI and AI governance frameworks
  • Experience scaling engineering capability or building new technical practices

We do not expect candidates to have deep expertise across every technology listed above. We are looking for individuals with strong real‑world production AI delivery experience, architectural depth and the ability to adapt across evolving AI ecosystems.

Benefits

Professionals choose to grow their careers at UBDS Group for its reputation as a dynamic and forward‑thinking organisation that is deeply committed to both innovation and employee development. At UBDS Group, employees are given unique opportunities to work on cutting‑edge projects across a diverse range of industries, exposing them to new challenges and learning opportunities that are pivotal for professional growth. The Group’s culture emphasises continuous improvement, offering ample training programs, mentorship, and the chance to gain certifications that enhance their skills and marketability.

Employee Benefits

  • Training – All team members are offered a number of options in terms of personal development, whether it is technical led, business acumen or methodologies.
  • Private medical cover for you and your spouse/partner, offered via Vitality
  • Discretionary bonus based on a blend of personal and company performance
  • Holiday – You will receive 25 Days holiday, plus 1 day for Birthday and 1 day for your work anniversary in addition to UK bank holidays
  • Electric Vehicle leasing with salary sacrifice
  • Contributed Pension Scheme
  • Death in service cover

About UBDS Group

At UBDS Group our mission is to support entrepreneurs who are setting new standards with technology solutions across cloud services, cybersecurity, data and AI, ensuring that every investment advances our commitment to innovation, making a difference, and creating impactful solutions for organisations and society.

Equal Opportunities

We are an equal opportunities employer and do not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age.

Principal AI Platform Engineer employer: UBDS

UBDS Group is an exceptional employer, renowned for its commitment to innovation and employee development. As a Principal AI Platform Engineer, you will have the opportunity to work on cutting-edge projects that not only challenge your skills but also contribute to meaningful solutions across various sectors. The company fosters a culture of continuous improvement, offering extensive training, mentorship, and unique benefits such as private medical cover and electric vehicle leasing, ensuring that you grow alongside the organisation in a supportive and dynamic environment.

UBDS

Contact Details:

UBDS Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Principal AI Platform Engineer

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like UBDS!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Principal AI Platform Engineer at UBDS.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like UBDS.

Apply Directly through Our Website

When you find a suitable opening like Principal AI Platform Engineer at UBDS, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Principal AI Platform Engineer

AI Architecture Design
MLOps
Python Engineering
Cloud-Native Engineering
AI Integration
Technical Leadership
Mentoring and Coaching

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at UBDS, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at UBDS. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at UBDS

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at UBDS!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.