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For Companies At a Glance
- Tasks: Design, build, and deploy impactful AI and ML solutions for global clients.
- Company: Join Intelligence Connected, a leader in AI and digital transformation.
- Benefits: Competitive day rate, remote-first work, and collaboration with top professionals.
- Why this job: Make a real-world impact with cutting-edge AI technologies.
- Qualifications: Strong Python skills and experience in AI/ML production environments.
- Other info: Flexible work environment with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
Location: UK or Poland
Engagement: 6-Month Contract | Competitive Day Rate
About Us
Intelligence Connected partners with leading organisations to deliver high-impact AI, data, and digital transformation projects. We combine deep domain expertise with a network of senior associates and engineers to accelerate outcomes for global clients.
The Role
We’re looking for a hands-on AI Engineer to join one of our end-client projects. You’ll help design, build, and deploy production-grade AI and ML solutions that drive measurable business value.
What You’ll Do
- Develop, fine-tune, and deploy ML models (LLMs, NLP, or computer vision depending on project scope)
- Work closely with data scientists, engineers, and client stakeholders to translate use cases into scalable technical solutions
- Build and optimise data pipelines and MLOps workflows
- Integrate AI components into broader data or product architectures
- Stay current with emerging AI frameworks, libraries, and model optimisation techniques
What We’re Looking For
- Strong Python and ML ecosystem experience (PyTorch, TensorFlow, Hugging Face, LangChain, etc.)
- Proven delivery of AI/ML solutions in production environments
- Experience with cloud platforms (Azure, AWS, or GCP) and MLOps tooling (MLflow, Vertex AI, etc.)
- Ability to communicate clearly with both technical and non-technical stakeholders
- Background in life sciences, healthcare, or regulated industries is a bonus
Why Work With Us
- High-impact projects with global clients
- Autonomy and flexibility — remote-first with meaningful onsite collaboration
- Opportunity to work with a seasoned network of AI and data professionals
If you’re an AI Engineer who wants to work on real-world applications — not endless prototypes — we’d like to hear from you.
AI Engineer employer: Intelligence Connected
Contact Detail:
Intelligence Connected Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field, attend meetups, and engage in online forums. You never know who might have a lead on that perfect AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML models and projects. This is your chance to demonstrate your hands-on experience and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both techies and non-techies.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented AI Engineers, and applying directly can give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with Python and ML frameworks like PyTorch and TensorFlow, as well as any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background in life sciences or healthcare can add value to our projects. Keep it concise but engaging — we love a good story!
Showcase Your Projects: If you've developed or deployed any AI/ML solutions, make sure to showcase them in your application. Include links to your GitHub or any live demos if possible. We’re keen to see your hands-on experience and creativity in action!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates. Plus, it’s super easy — just a few clicks and you’re done!
How to prepare for a job interview at Intelligence Connected
✨Know Your Tech Stack
Make sure you’re well-versed in the Python and ML ecosystem, especially with tools like PyTorch, TensorFlow, and Hugging Face. Brush up on your knowledge of cloud platforms like Azure, AWS, or GCP, as these will likely come up during the interview.
✨Showcase Real-World Applications
Prepare to discuss specific AI/ML solutions you've delivered in production environments. Highlight how your work has driven measurable business value, as this aligns perfectly with what the company is looking for.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You’ll need to communicate effectively with both technical and non-technical stakeholders, so being able to break down your projects will be key.
✨Stay Current with Trends
Familiarise yourself with emerging AI frameworks and model optimisation techniques. Showing that you’re up-to-date with the latest trends will demonstrate your passion for the field and your commitment to continuous learning.
