At a Glance
- Tasks: Build and maintain cutting-edge ML solutions with a focus on MLOps practices.
- Company: Join a forward-thinking tech company in London with a hybrid work model.
- Benefits: Enjoy competitive salary, health benefits, and perks like free lunches and social events.
- Other info: Great opportunities for learning, development, and career growth in a dynamic environment.
- Why this job: Make a real impact in AI while collaborating with top engineering and data science teams.
- Qualifications: Experience in MLOps and proficiency in Python required; cloud knowledge is a plus.
The predicted salary is between 63000 - 77000 £ per year.
We're looking for an MLOps Engineer to join our team in London, in a hybrid working mode. In this role, you will build, deploy and maintain production-ready machine learning solutions with a strong focus on MLOps practices including CI/CD, model serving, monitoring and robust cloud infrastructure. You will also contribute to extending these capabilities toward LLMOps and agentic AI workflows, enabling areas such as LLM applications, RAG pipelines, model evaluation and observability for enterprise environments. The position involves close collaboration with engineering and data science teams as well as advisory engagement with clients on best practices in AI infrastructure and operational scalability. This is an opportunity to deliver impactful AI capabilities while working at the intersection of modern AI and enterprise systems.
Responsibilities
- Build and maintain platform components for ML model training, deployment, serving and monitoring
- Develop and optimize CI/CD pipelines for machine learning workflows
- Implement and support model lifecycle management, including registries and observability tooling
- Design and manage scalable, secure deployments using containerization and Kubernetes
- Enable secure, reusable and automated workflows to enhance ML developer productivity
- Extend platform capabilities to support LLMOps, RAG and agentic AI workloads
- Collaborate with engineering teams to improve reliability, automation and operational maturity
- Apply governance and compliance standards across AI operations
- Participate in presales and client-facing sessions to translate requirements into scalable solutions
- Advocate cloud best practices for reliability, scalability and cost optimization
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering or related discipline
- Experience in delivering machine learning or MLOps systems into production environments
- Proficiency in Python for building services, APIs, scripts and CI/CD automation
- Working knowledge of modern MLOps stacks including experiment tracking and artifact management
- Hands-on experience with orchestration tools (e.g., Kubeflow, Apache Airflow, Metaflow or Prefect)
- Demonstrated skills with Docker, Kubernetes and distributed deployments
- Practical knowledge of Infrastructure-as-Code (Terraform) and a major cloud provider (AWS, Azure or GCP)
- Familiarity with ML model serving, scaling and monitoring frameworks in production
- Strong communications skills to convey technical decisions and engage with clients effectively
Nice to have
- Background deploying Generative AI solutions, LLM inference pipelines or agentic AI systems
- Experience with feature stores, vector databases and retrieval-augmented generation approaches
- Knowledge of AI governance, security and compliance for regulated sectors
- Familiarity with advanced observability and tracing solutions, such as OpenTelemetry or Langfuse
- Consulting or enterprise architecture experience in large-scale AI programs
- Understanding of FinOps strategies for managing GPU/CPU costs in cloud environments
- Certifications in cloud technologies (AWS, Azure, GCP) or Kubernetes (CKA/CKAD)
- Expertise in securing and operationalizing ML/LLM/agent-based systems for enterprise readiness
We offer
- EPAM Employee Stock Purchase Plan (ESPP)
- Protection benefits including life assurance, income protection and critical illness cover
- Private medical insurance and dental care
- Employee Assistance Program
- Competitive group pension plan
- Cyclescheme, Techscheme and season ticket loans
- Various perks such as free Wednesday lunch in-office, on-site massages and regular social events
- Learning and development opportunities including in-house training and coaching, professional certifications, and courses
- If otherwise eligible, participation in the discretionary annual bonus program
- If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program
MLOps Engineer employer: EPAM Systems, Inc.
EPAM Systems, Inc. is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a strong focus on employee growth, you will have ample opportunities to enhance your skills through mentorship and cutting-edge projects in cloud-native data solutions. The company also prioritises work-life balance and offers competitive benefits, making it an ideal place for professionals seeking meaningful and rewarding careers in technology.
StudySmarter Expert Advice🤫
We think this is how you could land MLOps Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at EPAM Systems, Inc. or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to EPAM Systems, Inc..
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like EPAM Systems, Inc..
✨Explore Job Boards Specifically for Tech Roles
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We think you need these skills to ace MLOps Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at EPAM Systems, Inc..
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at EPAM Systems, Inc. and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at EPAM Systems, Inc.
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If EPAM Systems, Inc. uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
