Software Engineer in AI

Software Engineer in AI

Temporary 39000 - 49000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Join a pioneering team to design and build AI tools for sign language translation.
  • Company: Be part of an early-stage startup focused on accessibility and social impact.
  • Benefits: Enjoy a flexible hybrid work model, equity options, and a competitive salary up to ÂŁ49k.
  • Why this job: Make a real difference with cutting-edge tech while shaping a meaningful product.
  • Qualifications: Ideal for top graduates or those with 1-2 years of ML/AI experience.
  • Other info: Work in a creative, inclusive environment with just ~4 days/month in-person.

The predicted salary is between 39000 - 49000 ÂŁ per year.

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 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.
  • 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:

  • 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.

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Contact Detail:

Job Traffic 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, natural language processing, and computer vision. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.

✨Tip Number 2

Engage with the startup community, especially those focused on accessibility and AI. Attend meetups or webinars to network with professionals in the industry, which could lead to valuable connections and insights about the company.

✨Tip Number 3

Showcase any personal projects or contributions to open-source software that align with the role's requirements. This practical experience can set you apart and highlight your ability to build from scratch, which is crucial for this position.

✨Tip Number 4

Prepare to discuss how your skills can contribute to social good, particularly in the context of accessibility. Articulating your passion for using technology to make a difference will resonate well with the mission-driven ethos of the startup.

We think you need these skills to ace Software Engineer in AI

Proficiency in Python
Experience with TensorFlow and/or PyTorch
Understanding of machine learning concepts
Knowledge of natural language processing (NLP)
Familiarity with computer vision (CV)
Experience with generative adversarial networks (GANs)
Ability to design and build ML models from scratch
Experience with FastAPI for backend development
Understanding of microservices architecture
Experience with real-time video processing
Strong problem-solving skills
Ability to work in a fast-paced, early-stage startup environment
Adaptability to changing requirements
Passion for building technology that drives social good

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 models from scratch or worked with technologies like Python, TensorFlow, or PyTorch.

Craft a Compelling Cover Letter: In your cover letter, express your passion for accessibility technology and how your skills align with the company's mission. Mention specific experiences that demonstrate your ability to thrive in an early-stage startup environment.

Showcase Relevant Projects: If you have personal or academic projects related to ML, NLP, or generative AI, include them in your application. Provide links to your GitHub or portfolio to give the hiring team insight into your coding style and problem-solving abilities.

Highlight Soft Skills: Since this role involves working in a dynamic startup, emphasise your adaptability, teamwork, and communication skills. Share examples of how you've successfully collaborated on projects or navigated challenges in fast-paced environments.

How to prepare for a job interview at Job Traffic

✨Showcase Your Passion for AI

Make sure to express your enthusiasm for AI and its potential to drive social good. Share any personal projects or experiences that highlight your commitment to using technology for meaningful change.

✨Demonstrate Problem-Solving Skills

Prepare to discuss specific challenges you've faced in previous projects, particularly in ML or AI. Be ready to explain how you approached these problems and the innovative solutions you implemented.

✨Familiarise Yourself with Their Tech Stack

Research the technologies mentioned in the job description, such as Python, TensorFlow, PyTorch, and FastAPI. Being able to discuss these tools confidently will show your readiness to contribute from day one.

✨Ask Insightful Questions

Prepare thoughtful questions about the company's mission, the team dynamics, and the specific challenges they face in building AI-powered tools. This demonstrates your genuine interest in the role and helps you assess if it's the right fit for you.

Software Engineer in AI
Job Traffic
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