Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Transform AI/ML experiments into production-ready pipelines and optimise models.
- Company: Join a high-growth team in the pharma sector with a hybrid work model.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on cutting-edge technology and career advancement.
- Why this job: Make a real impact in healthcare by turning innovative ideas into scalable solutions.
- Qualifications: Experience in AI/ML, strong communication skills, and relevant degree preferred.
The predicted salary is between 60000 - 80000 £ per year.
Albert Bow is working with a high growth team looking for an AI ML Engineer to help turn notebook experiments into production ready ML pipelines. You’ll sit between ML scientists and platform engineers, helping move projects from prototype into scalable, reliable systems.
Responsibilities
- Work closely with AI ML scientists to optimise models and support production deployment
- Turn exploratory work into reusable pipelines and blueprints
- Explore and validate datasets, spotting distribution shifts and performance risks
- Build and maintain training pipelines, troubleshooting issues across the ML lifecycle
- Partner with ML infrastructure engineers to improve platform reliability and scale
Requirements
- Strong communicator with a positive, hands on approach
- Experience working closely with data scientists and engineering teams
- Degree in a relevant field (PhD or Masters ideal, or strong industry experience)
- Healthcare or life sciences experience is a bonus
- Tech stack: Python with scikit learn, Pandas, PyTorch, Jupyter, Databricks, Ray, vector databases, Kubernetes
- Orchestration tools like Airflow, Dagster, Astronomer
- GPU compute on prem or cloud (AWS or Azure), plus MLflow, ClearML, Weights and Biases
- LLMs including fine tuning, inference, RAG, and multi agent frameworks like LlamaIndex
If this sounds like a fit, send your CV or reach out directly to chloefletcher@albertbow.com
AI/ML Engineer in London employer: Albert Bow
Contact Detail:
Albert Bow Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI/ML space, especially those in pharma. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ML pipelines or healthcare data. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and tools mentioned in the job description. Be ready to discuss how you've tackled similar challenges in the past.
✨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, we love seeing candidates who take that extra step!
We think you need these skills to ace AI/ML Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI/ML Engineer role. Highlight your experience with Python, scikit-learn, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific examples of your work, especially those that demonstrate your ability to turn prototypes into production-ready systems. We love seeing real-world applications of your skills, so don’t hold back!
Communicate Clearly: As a strong communicator, make sure your application reflects that. Use clear language and structure in your CV and cover letter. We appreciate a positive, hands-on approach, so let your personality shine through!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures it gets into the right hands. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Albert Bow
✨Know Your Tech Stack
Make sure you’re well-versed in the tech stack mentioned in the job description. Brush up on Python, scikit-learn, and PyTorch, as well as orchestration tools like Airflow. Being able to discuss your experience with these technologies will show that you’re ready to hit the ground running.
✨Showcase Your Communication Skills
As a strong communicator, you’ll need to demonstrate how you can effectively collaborate with both ML scientists and platform engineers. Prepare examples of past projects where you successfully communicated complex ideas or resolved conflicts within a team.
✨Prepare for Problem-Solving Questions
Expect questions that assess your ability to troubleshoot issues across the ML lifecycle. Think of specific challenges you’ve faced in previous roles and how you overcame them. This will highlight your hands-on approach and problem-solving skills.
✨Understand the Healthcare Context
If you have any experience in healthcare or life sciences, be sure to bring it up during the interview. Even if it’s not a requirement, showing an understanding of the industry can set you apart from other candidates and demonstrate your commitment to the role.