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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 career development.
- Other info: Collaborative Agile environment with a focus on continuous improvement.
- Why this job: Work on cutting-edge AI projects that solve real-world problems.
- Qualifications: Experience with Python, ML/AI libraries, and cloud platforms.
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 in London employer: ANSON MCCADE
Contact Detail:
ANSON MCCADE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and machine learning space, attend meetups, and join online forums. 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 LLMs. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and ML libraries. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace AI Engineer in London
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 experience possible while applying!
How to prepare for a job interview at ANSON MCCADE
✨Know Your Tech Stack
Make sure you’re well-versed in Python and the common ML/AI libraries mentioned in the job description. Brush up on your knowledge of GenAI and LLMs, as well as any cloud platforms like Azure, AWS, or GCP. Being able to discuss specific projects where you've used these technologies will really impress.
✨Showcase Your Problem-Solving Skills
Prepare to discuss real-world problems you've solved using AI and machine learning. Think of examples where you designed, built, or deployed a solution. Highlight your attention to detail and how you approached challenges during the project lifecycle.
✨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, emphasising your communication skills.
✨Continuous Improvement Mindset
Demonstrate your commitment to best practices and continuous improvement. Discuss any experiences you have with MLOps tooling, model lifecycle management, or optimising models. Showing that you’re proactive about learning and improving will resonate well with the interviewers.