At a Glance
- Tasks: Design and build AI-enabled solutions while developing software with Python and AWS.
- Company: Join a leading Belfast-based organisation shaping the future of AI.
- Benefits: Enjoy a hybrid working model and one of the best benefits packages in Belfast.
- Other info: Opportunity to work with cutting-edge technology and collaborate with diverse stakeholders.
- Why this job: Make a real impact by influencing AI development in a high-scale environment.
- Qualifications: Strong Python and AWS experience, with a passion for AI and cloud engineering.
The predicted salary is between 72000 - 88000 £ per year.
You must currently be living in Northern Ireland to be considered for this role. This role cannot provide sponsorship. This is not a standard software engineering role, and it is not a basic AI role either. We are working with a major Belfast-based organisation that is building out a serious AI capability and looking for someone who can sit across software engineering, cloud engineering and AI delivery. You will be joining at a point where the AI function is still being shaped, so there is a genuine opportunity to influence how things are built. The work is practical, production-focused and properly backed, rather than being a small internal experiment or a bit of AI bolted onto an existing team. It is a good fit for someone who wants to move closer to AI without leaving behind serious Python, AWS and cloud engineering work. The role also comes with a hybrid working model and one of the strongest benefits packages we have seen in the Belfast market.
What the role involves:
- You will be working on AI-enabled products and platforms in a high-scale, high-trust environment where security, reliability and engineering standards genuinely matter.
- The work sits across:
- Infrastructure as code
- Turning business problems into working technical solutions
- One day you could be designing an AI-enabled solution with stakeholders, the next you could be building Python services, improving AWS deployment patterns, or helping get something production-ready.
What you will be doing:
- Designing and building AI-enabled solutions that solve real business problems
- Developing software and automation using Python
- Working heavily with AWS across cloud services, deployment and platform design
- Using infrastructure as code, ideally Terraform
- Helping shape secure, scalable and reliable AI platforms
- Working with technical and non-technical stakeholders to understand requirements and turn them into solutions
- Contributing to engineering standards, architecture decisions and delivery approach
- Keeping pace with emerging AI tools and identifying where they can add practical value
What we are looking for:
- You do not need to come from a pure AI background, but you do need strong engineering fundamentals. Ideally, you will have:
- Strong AWS experience
- Experience with Terraform or similar infrastructure as code tools
- A background across software engineering, cloud engineering, platform engineering or DevOps
- An interest in AI, machine learning, LLMs or automation
- Experience building secure, scalable systems
- The ability to work with stakeholders and translate problems into technical solutions
- A pragmatic mindset: someone who can experiment, but still build properly for production
Interested? If you are a Python, AWS or cloud engineer based in Northern Ireland and want to move into more AI-focused work, this could be a very strong next step.
Python Developer employer: Oxbow Talent
Join a forward-thinking organisation in Belfast that is at the forefront of AI innovation, where your contributions will directly shape the future of AI solutions. With a hybrid working model and one of the most competitive benefits packages in the market, this role offers not just a job, but a meaningful career path that encourages professional growth and collaboration across diverse teams. Embrace the opportunity to work on impactful projects in a supportive environment that values both technical excellence and creative problem-solving.
StudySmarter Expert Advice🤫
We think this is how you could land Python Developer
✨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 Oxbow Talent 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 Oxbow Talent.
✨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 Oxbow Talent.
✨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 Oxbow Talent 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 Python Developer
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 Oxbow Talent.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Oxbow Talent 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 Oxbow Talent
✨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 Oxbow Talent 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.
