Software Engineer

Xplortiv
Nottingham
1 year ago
Applications closed

Related Jobs

View all jobs

Software Engineer - AI MLOps Oxford, England, United Kingdom

GenAI Software Engineer/Data Scientist

GenAI Software Engineer/Data Scientist

Senior Software Engineer, Data Science Infra & Optimization

Lead Software Engineer - Agentic AI/Machine Learning

Data Scientist/ Software Engineer

About Xplortiv:

At Xplortiv, we’re not just building a product; we’re architecting a vision for the future. We’re at the brink of transforming how technology is perceived and experienced, creating solutions that break through conventional limits and set new standards. Our mission is simple yet profound: to create a platform so advanced, it becomes the catalyst for change across industries, driving innovation that was once thought impossible. If you're looking to do the best work of your life, work that will echo through time as a game-changer, then Xplortiv is where you need to be.


What We're Building:

Imagine being part of something so groundbreaking that it redefines the world’s relationship with technology. Xplortiv is developing a platform that’s not just a product—it’s a revolution in the making. This platform will leverage the power of AI and full-stack engineering to create seamless, intelligent experiences that are light-years ahead of anything seen before. We’re not just improving existing technologies; we’re crafting something entirely new—a future where innovation knows no bounds, and the unimaginable becomes possible.


Who We're Looking For:

We’re seeking visionary Full Stack Engineers and AI Engineers who aren’t just looking for a job, but a calling. People who see technology not just as a tool but as a force for transformation. Individuals who believe that they have the power to create something bigger than themselves and are ready to shape the future. We’re looking for those bold enough to take on challenges, daring enough to defy the status quo, and brilliant enough to see the potential in the impossible.


Key Responsibilities:

For Full Stack Engineers:

  • Drive the creation of scalable and dynamic web applications that are not just functional but revolutionary.
  • Architect innovative UI/UX designs that deliver experiences so intuitive, they feel almost magical.
  • Seamlessly integrate with AI systems, databases, and third-party services to build a cohesive, intelligent platform.
  • Push the limits of what front-end and back-end technologies can do, redefining the digital landscape.
  • Write code that isn’t just efficient—it’s visionary, paving the way for future advancements.


For AI Engineers:

  • Build the brain of the platform—designing machine learning models that think, learn, and evolve.
  • Develop algorithms that transform data into insights, creating a product that anticipates and adapts to user needs.
  • Integrate AI seamlessly into every layer of our technology stack, making intelligence the heart of the experience.
  • Continuously innovate, staying ahead of the curve with cutting-edge techniques in AI and machine learning.
  • Collaborate across teams to turn raw data into revolutionary features that change how users interact with technology.


What We Value:

  • Moonshot Thinking: You see no limits, only possibilities. You believe in taking big leaps that others fear to imagine.
  • Fearless Collaboration: We challenge each other, we inspire each other, and together we create the extraordinary.
  • Relentless Curiosity: For us, the question isn’t just “How?” but “What if?” We need thinkers who are hungry for answers.
  • Passion for Innovation: This is about building the future, not maintaining the past. We look for innovators who can see a better tomorrow.


Qualifications:

For Full Stack Engineers:

  • Expertise in front-end technologies like JavaScript (React, Angular, or Vue.js), HTML, and CSS that brings user interfaces to life.
  • Strong back-end skills with Node.js, Python, or other cutting-edge technologies to power our platform’s core.
  • A solid foundation in database technologies like SQL, NoSQL, or GraphQL that scales with the vision.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud, bringing scalability to our bold ideas.
  • A commitment to best practices in software development and a relentless drive to learn and improve.


For AI Engineers:

  • Mastery of machine learning frameworks like TensorFlow, PyTorch, and Scikit-Learn that power intelligent innovation.
  • Proficiency in data science languages such as Python or R, using algorithms to unlock new potential.
  • Deep understanding of neural networks, NLP, computer vision, or advanced AI techniques that set new benchmarks.
  • Experience in developing AI-driven products and a passion for pushing boundaries with innovative solutions.
  • Familiarity with cloud-based AI environments that keep our technology ahead of the curve.


Why Join Xplortiv?

  • Shape the Future: Your work will be at the core of a movement that will change how the world sees technology.
  • Be Part of a Legacy: This is your chance to contribute to something that’s bigger than all of us—a product that will leave a mark on the industry for generations to come.
  • Innovate Without Limits: We provide the tools, the platform, and the support; you bring the ideas and the vision.
  • Collaborate with Visionaries: Join a team of the brightest minds who are as passionate and driven as you are to make the impossible possible.
  • Unlimited Growth: In a company that’s breaking new ground, your career will grow faster than you ever imagined.


How to Apply:

Are you ready to redefine what's possible? If you're excited by the idea of turning bold visions into reality and crafting the future of technology, we want to hear from you. Send us your resume and a brief cover letter telling us why Xplortiv is the right place for you and how you can help us transform the world.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.