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- Tasks: Join a pioneering team to design and build AI tools for sign language translation.
- Company: Be part of an innovative startup focused on accessibility and social impact.
- Benefits: Enjoy a competitive salary, flexible hybrid work, and equity options.
- Why this job: Make a real difference with cutting-edge tech in a creative and inclusive environment.
- Qualifications: Ideal for top graduates or those with 1-2 years of ML/AI experience.
- Other info: Opportunity to shape a product and contribute to a meaningful movement.
The predicted salary is between 39000 - 49000 ÂŁ per year.
Hybrid (UK/Ireland Based) | Up to ÂŁ49k | Early-Stage Startup | 6-Month FTC (Potential to Go Perm)
This is one of those rare early-stage roles that puts you on the ground floor of something genuinely meaningful — and you'll see the direct impact of your work from day one. We’re hiring on behalf of a trailblazing accessibility startup (confidential for now) that’s building AI-powered tools to deliver sign language translation at scale — an industry first. Backed by a sharp founding team and working with cutting-edge tech (think AR, LLMs, GANs, etc.), they’re solving a problem that genuinely matters.
The Role:
You'll be among the first engineers joining this 0-to-1 journey, shaping a fresh codebase and making key architectural decisions. Think ML pipelines, real-time video and language processing, microservices — it’s all in play.
- Design and build ML models from scratch using Python + TensorFlow/PyTorch
- Ship features across both frontend and backend (FastAPI for now)
- Work on NLP, CV, generative AI (GANs/LLMs), and time-series models
- Own end-to-end ML capabilities: from idea to deployment
- Learn fast and contribute fast — no “wait and see” here
You might be a good fit if:
- You're on track to graduate top of your class this summer OR already have 1–2 years' real-world ML/AI experience
- You’re comfortable building things from scratch and love solving novel problems
- You’re not afraid to get your hands dirty in the early-stage chaos
- You genuinely care about building tech that drives social good
Bonus points for experience with:
- Azure / cloud-native architectures
- MLOps/CI-CD pipelines
- Infrastructure as Code (Terraform, Pulumi, etc.)
- AR/VR or creative use of AI for accessibility
The Offer:
- Up to ÂŁ49k
- 6-month fixed term contract (potential to go perm)
- Equity options available
- Flexible hybrid model — just ~4 days/month of in-person time
Join a mission-first team, in an environment that’s creative, inclusive and relentlessly curious. This is an amazing chance to shape not just a product, but a movement. If you're someone who’s been waiting to build something that matters — hit apply.
Software Engineer in AI employer: Spectrum IT Recruitment
Contact Detail:
Spectrum IT Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer in AI
✨Tip Number 1
Familiarise yourself with the latest advancements in AI, particularly in areas like machine learning pipelines and natural language processing. Being able to discuss recent trends or breakthroughs during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Showcase any personal projects or contributions to open-source software that involve AI technologies. This hands-on experience can set you apart from other candidates and illustrate your ability to build and innovate in real-world scenarios.
✨Tip Number 3
Network with professionals in the AI and accessibility sectors. Attend relevant meetups or webinars to connect with industry insiders who might provide insights or even referrals for the role at our startup.
✨Tip Number 4
Prepare to discuss how your skills align with the mission of the startup. Be ready to articulate why building technology for social good is important to you, as this will resonate well with the company's values and culture.
We think you need these skills to ace Software Engineer in AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, AI, and software engineering. Emphasise any projects or roles where you've built ML models or worked with technologies like Python, TensorFlow, or PyTorch.
Craft a Compelling Cover Letter: In your cover letter, express your passion for building technology that drives social good. Mention specific reasons why you want to work for this accessibility startup and how your skills align with their mission.
Showcase Relevant Projects: If you have personal or academic projects related to NLP, computer vision, or generative AI, include them in your application. Briefly describe the challenges you faced and how you overcame them, demonstrating your problem-solving skills.
Highlight Soft Skills: Since this role involves working in an early-stage startup environment, emphasise your adaptability, teamwork, and communication skills. Provide examples of how you've thrived in dynamic settings or contributed to team success.
How to prepare for a job interview at Spectrum IT Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, TensorFlow, and PyTorch. Bring examples of projects where you've built ML models or worked on NLP and CV tasks, as this will demonstrate your hands-on expertise.
✨Demonstrate Problem-Solving Abilities
Expect to face technical challenges during the interview. Be ready to explain your thought process when tackling novel problems, especially in the context of building from scratch. This will highlight your ability to thrive in an early-stage environment.
✨Align with Their Mission
Research the startup's focus on accessibility and social good. Be prepared to discuss why this mission resonates with you and how your values align with their goals. Showing genuine interest can set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's technology stack, team dynamics, and future projects. This not only shows your enthusiasm but also helps you gauge if the company culture is the right fit for you.
