Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build scalable ML and Generative AI solutions on AWS.
- Company: Join Lynx Recruitment Ltd, a leader in tech innovation.
- Benefits: Enjoy a competitive salary and opportunities for professional growth.
- Why this job: Lead impactful projects in AI and shape the future of technology.
- Qualifications: 3+ years in MLOps/ML Engineering with strong AWS skills.
- Other info: Mentor junior engineers and thrive in a dynamic work environment.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for an experienced Senior MLOps/ML/AI Ops Engineer to design, build, and operate scalable ML and Generative AI solutions on AWS. You will lead end‑to‑end delivery—from architecture to production—and help shape best practices in security, automation, and cost‑efficient AI deployment.
Key Responsibilities
- Architect secure, scalable ML and GenAI systems using AWS services (SageMaker, EKS/Fargate, Lambda, Step Functions).
- Build CI/CD pipelines for ML models, agents, and GenAI applications.
- Deploy LLMs and orchestrate multi‑agent systems (LangChain, LangGraph, or custom).
- Create and maintain data pipelines (Airflow, dbt, Step Functions).
- Implement monitoring, observability, and automated retraining (CloudWatch, Prometheus, Grafana, MLflow).
- Embed strong security, compliance, and guardrail practices across all ML workflows.
- Mentor junior engineers and promote engineering best practices.
Key Requirements – Essential
- 3+ years experience in MLOps/ML Engineering/AIOps.
- Strong expertise in AWS (SageMaker, EKS/Fargate, Lambda, Step Functions, S3).
- Proficient with Docker, Kubernetes, and IaC (Terraform or AWS CDK).
- Experience with MLflow, CI/CD tools, and automated testing.
- Hands‑on with LLM deployment and multi‑agent systems.
- Proven experience building data pipelines and production ML workflows.
- Strong grounding in software engineering best practices and cost optimisation.
Nice to Have
- Consulting or pre‑sales background.
- Experience with Databricks or MCP (multi‑agent protocol).
- AWS certifications (ML Specialty, AI Practitioner).
AI/ML Engineer | London employer: Lynx Recruitment Ltd
Contact Detail:
Lynx Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Engineer | London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML space on LinkedIn or at local meetups. 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 projects, especially those involving AWS and ML. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AI/ML questions and practical scenarios. Practice explaining your past projects and how you tackled challenges—this will help you shine during technical interviews.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that dream job, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace AI/ML Engineer | 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 AWS, MLOps, and any relevant projects you've worked on. 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 AI and ML, and how you can contribute to our team. Keep it concise but engaging—show us your personality!
Showcase Your Projects: If you've worked on any cool projects related to ML or AI, make sure to mention them! Whether it's deploying LLMs or building data pipelines, 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 Lynx Recruitment Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in the specific AWS services mentioned in the job description, like SageMaker and Lambda. Brush up on your knowledge of Docker and Kubernetes too, as these are crucial for the role.
✨Showcase Your Projects
Prepare to discuss your previous projects that involved MLOps or AI solutions. Be ready to explain your role in the architecture, deployment, and any challenges you faced, especially around security and cost optimisation.
✨Demonstrate Problem-Solving Skills
Expect technical questions that test your problem-solving abilities. Think through how you would approach building CI/CD pipelines or deploying LLMs, and be prepared to walk the interviewer through your thought process.
✨Ask Insightful Questions
At the end of the interview, ask questions that show your interest in the company’s practices. Inquire about their current ML workflows or how they ensure compliance and security in their systems. This shows you’re not just interested in the role, but also in contributing to their success.
