At a Glance
- Tasks: Own and develop MLOps infrastructure for a cutting-edge AI platform.
- Company: Dynamic AI and data consultancy focused on real-world impact.
- Benefits: Competitive salary, bonus, hybrid work, and extensive benefits.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Join a growing team and shape the future of AI technology.
- Qualifications: Strong Python skills and hands-on experience with Kubernetes.
The predicted salary is between 63000 - 77000 £ per year.
Senior MLOps Engineer London (Hybrid) | £75,000 - £85,000 + Bonus + Benefits This is an opportunity to take ownership of the infrastructure powering a growing AI platform.
You'll work across machine learning, NLP, and emerging AI technologies, helping build scalable systems that support real-world impact.
The Company A growing AI and data consultancy helping organisations use data and machine learning to improve decision-making and deliver better outcomes.
They are investing heavily in their AI platform and expanding their engineering capability.
The Role
Own and develop the MLOps infrastructure supporting AI services.
Build and maintain orchestration pipelines using Dagster, Airflow, or Prefect.
Deploy and manage ML workloads on Kubernetes and cloud platforms.
Implement CI/CD, observability, and monitoring across production systems.
Develop infrastructure using Terraform, Bicep, or similar Ia C tools.
Work closely with Data Scientists, ML Engineers, and AI teams to scale deployments.
Your Skills & Experience
Strong Python software engineering skills.
Commercial MLOps experience in production environments.
Hands-on Kubernetes expertise.
Experience with workflow orchestration platforms.
Infrastructure as Code and CI/CD experience.
Understanding of production ML, NLP, or AI systems.
...
MLOps Engineer employer: Harnham - Data & Analytics Recruitment Careers
As a leading consumer retail organisation based in London, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. Our commitment to employee growth is evident through tailored development programmes and the opportunity to lead transformative digital initiatives, all while enjoying a competitive salary and bonus structure. Join us to be part of a forward-thinking team that values your contributions and empowers you to drive meaningful change in a rapidly evolving market.
Contact Details:
Harnham - Data & Analytics Recruitment Careers Recruitment Team
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 Harnham - Data & Analytics Recruitment Careers 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 Harnham - Data & Analytics Recruitment Careers.
✨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 Harnham - Data & Analytics Recruitment Careers.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Harnham - Data & Analytics Recruitment Careers that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
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 Harnham - Data & Analytics Recruitment Careers.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Harnham - Data & Analytics Recruitment Careers 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 Harnham - Data & Analytics Recruitment Careers
✨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 Harnham - Data & Analytics Recruitment Careers 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.
