At a Glance
- Tasks: Design and deploy innovative Machine Learning solutions using Python and Azure AI services.
- Company: Join a forward-thinking tech company in the heart of London.
- Benefits: Enjoy a competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative environment with exciting projects and career advancement opportunities.
- Why this job: Be at the forefront of AI technology and make a real impact in the industry.
- Qualifications: 8+ years in Machine Learning Engineering with strong Python and Azure skills.
The predicted salary is between 80000 - 100000 € per year.
Location: London, UK (Hybrid)
Key Responsibilities
- Design, develop, and deploy scalable Machine Learning and Generative AI solutions using Python and Azure AI services.
- Build and manage end-to-end ML/LLM pipelines using Azure ML, Azure AI Foundry, Azure OpenAI, and Databricks.
- Develop and deploy production-grade LLM applications including fine-tuning, prompt engineering, inference optimization, and monitoring.
- Implement and maintain MLOps workflows, CI/CD pipelines, and model lifecycle management processes.
- Work with Azure services including AKS, ADF, Synapse, Azure Storage, and containerized deployments.
- Monitor model performance, drift detection, scalability, reliability, and operational efficiency.
- Collaborate with cross-functional teams including Data Engineering, DevOps, Product, and Architecture teams.
- Implement best practices for version control, reproducibility, governance, monitoring, and AI security.
- Troubleshoot and optimize ML/AI systems in production environments.
Required Skills & Experience
- 8+ years of experience in Machine Learning Engineering / MLOps.
- Strong programming experience in Python with ML frameworks and Azure SDKs.
- Hands-on experience with:
- Azure ML
- Azure AI Foundry
- Azure OpenAI
- AKS (Azure Kubernetes Service)
- Databricks
- Azure Data Factory (ADF)
- Azure Synapse
- Azure Storage
- Experience deploying and monitoring LLMs in production environments.
- Strong understanding of:
- Fine-tuning
- Prompt Engineering
- Inference Optimization
- Generative AI
- MLOps
- Experience with CI/CD pipelines using Azure DevOps and GitHub Actions.
- Strong knowledge of Docker and containerized deployments.
- Familiarity with MLOps best practices including:
- Version Control
- Experiment Tracking
- Reproducibility
- Monitoring & Logging
- Excellent problem-solving, communication, and collaboration skills.
Machine Learning Engineer in Slough employer: Pyramid Consulting, Inc
As a leading employer in the tech industry, we offer an innovative and collaborative work environment in London, where our Machine Learning Engineers can thrive. With a strong focus on employee growth, we provide access to cutting-edge technologies and continuous learning opportunities, ensuring that our team stays at the forefront of AI advancements. Our hybrid work model promotes a healthy work-life balance, making us an attractive choice for those seeking meaningful and rewarding careers in machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer in Slough
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Machine Learning projects. We recommend including any cool stuff you've done with Azure or Python. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for those interviews! Brush up on common ML concepts and be ready to discuss your experience with MLOps and CI/CD pipelines. We suggest doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented ML Engineers 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 Machine Learning Engineer in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with Python, Azure services, and MLOps. We want to see how your skills match 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 ML and how your experience aligns with our needs. Let us know what excites you about working at StudySmarter.
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them! Whether it's deploying LLMs or optimising ML systems, we love seeing real-world applications of your skills.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Pyramid Consulting, Inc
✨Know Your Tech Inside Out
Make sure you’re well-versed in the specific technologies mentioned in the job description, like Azure ML and Python. Brush up on your knowledge of MLOps workflows and CI/CD pipelines, as these will likely come up during the interview.
✨Showcase Your Projects
Prepare to discuss your past projects that align with the role. Highlight any experience you have with deploying LLM applications or working with Azure services. Real-world examples can really make you stand out!
✨Collaboration is Key
Since the role involves working with cross-functional teams, be ready to talk about your collaboration experiences. Share how you’ve worked with Data Engineering or DevOps teams in the past to solve problems or deliver projects.
✨Ask Smart Questions
Prepare insightful questions about the company’s approach to AI security or their MLOps practices. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
