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For Companies At a Glance
- Tasks: Design and develop AI solutions, deploying models and collaborating with a dynamic team.
- Company: Join a forward-thinking Data & AI team at the forefront of technology.
- Benefits: Performance bonuses, strong learning opportunities, and work on cutting-edge projects.
- Other info: Collaborative Agile environment with excellent career growth potential.
- Why this job: Make a real impact by solving business problems with innovative AI technologies.
- Qualifications: Experience in Python, ML/AI libraries, and cloud platforms like Azure or AWS.
The predicted salary is between 50000 - 70000 £ per year.
We’re looking for an AI Engineer to join a growing Data & AI team delivering cutting‑edge GenAI and machine learning solutions across enterprise clients. This is a hands‑on engineering role where you’ll design, build, and deploy AI‑powered applications — working across the full lifecycle from experimentation through to production. You’ll be part of a collaborative team solving real‑world business problems using modern AI technologies.
What You’ll Be Doing
- Designing and developing AI and machine learning solutions, including GenAI use cases
- Building and deploying models into production environments
- Developing LLM‑based applications, including prompt engineering and integration
- Working with cloud‑based AI platforms to build scalable solutions
- Collaborating with architects, data scientists, and engineers to deliver end‑to‑end solutions
- Supporting experimentation, evaluation, and optimisation of models
- Ensuring solutions are built with scalability, security, and reliability in mind
- Contributing to best practices and continuous improvement within the team
What We’re Looking For
- Strong experience with Python and common ML/AI libraries
- Experience building and deploying machine learning or AI solutions
- Exposure to GenAI / LLMs and modern AI tooling
- Experience working with cloud platforms (Azure, AWS, or GCP)
- Understanding of data pipelines, APIs, and system integration
- Strong problem‑solving skills and attention to detail
- Ability to work in a collaborative, Agile environment
Nice to Have
- Experience with Azure AI services or OpenAI APIs
- Familiarity with MLOps tooling and model lifecycle management
- Experience with containerisation (Docker, Kubernetes)
- Exposure to data engineering or big data technologies
What’s on Offer
- Performance bonus
- Opportunity to work on cutting‑edge AI and GenAI projects
- Strong learning and career development opportunities
AI Engineer employer: ANSON MCCADE
Contact Detail:
ANSON MCCADE 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 folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving GenAI and machine learning. This gives you a chance to demonstrate your hands-on experience and problem-solving abilities.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to Python, ML libraries, and cloud platforms. Practise explaining your thought process when solving problems, as collaboration is key in our team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our awesome Data & AI team.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and AI libraries. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about AI and how you can contribute to our team. Be specific about your experience with GenAI and cloud platforms — we love details!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled real-world problems using AI solutions. We’re all about collaboration and innovation, so let us know how you’ve worked with others to achieve great results.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to join our awesome team!
How to prepare for a job interview at ANSON MCCADE
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the common ML/AI libraries. Brush up on your knowledge of GenAI and LLMs, as well as cloud platforms like Azure, AWS, or GCP. Being able to discuss specific projects where you've applied these technologies will really impress.
✨Showcase Your Problem-Solving Skills
Prepare to discuss real-world problems you've solved using AI solutions. Think about the challenges you faced, how you approached them, and the outcomes. This will demonstrate your strong problem-solving skills and attention to detail, which are key for this role.
✨Collaborate Like a Pro
Since this role involves working with architects, data scientists, and engineers, be ready to talk about your experience in collaborative environments. Share examples of how you’ve worked in Agile teams and contributed to successful projects, highlighting your teamwork skills.
✨Emphasise Continuous Improvement
Discuss how you’ve contributed to best practices and continuous improvement in your previous roles. Whether it’s through optimising models or implementing MLOps tooling, showing that you’re committed to enhancing processes will resonate well with the interviewers.