At a Glance
- Tasks: Join our team to work on exciting MLOps projects and client solutions.
- Company: Fuzzy Labs is a Manchester startup focused on harnessing AI for positive change.
- Benefits: Enjoy hybrid working, 25-30 days holiday, equity options, and a Cycle to Work scheme.
- Other info: Opportunity for personal growth and involvement in R&D projects.
- Why this job: Be part of a passionate team making a real impact in the MLOps community.
- Qualifications: A degree in computer science or related field; coding passion and cloud experience required.
The predicted salary is between 28800 - 48000 € per year.
Date: July 2025
Company: Fuzzy Labs
Job Title: MLOps Engineer
Location: Central Manchester
Working style: Hybrid
Fuzzy Labs are a Manchester based startup that helps our clients productionise machine learning through Open Source MLOps. We exist to help harness and channel the power of AI more quickly, to make positive change and use AI for good.
We are growing our team of engineers to help deliver an increasing number of client projects. You won’t need an existing MLOps background to apply for this role. You’ll learn as you go by immersing yourself in this exciting new field.
What we’re looking for
We’ve seen considerable growth over the past few years and this will continue as we build on our reputation as Open Source MLOps experts, while working with the community, and delivering solutions to our clients. The ideal candidate would be motivated to grow and progress in line with the company’s ambitions.
As well as being a great engineer, motivated by the chance to be at the forefront of MLOps adoption, you’ll also enjoy being part of a culture that values:
- Loving what we do:a real passion for Open Source, MLOps and taking pride in great work.
- Just trying it:MLOps is an exciting new field. We love to develop new skills, solve new problems and thrive on a challenge.
- Being greater than the sum of parts:we are a team, one that isn’t just us but our customers and our community.
- Positive impact:AI is going to change the world. We choose to use it for good and leave a positive legacy.
A typical day
You’ll work within an engineering squad and take part in every stage of the project delivery lifecycle, including:
- Working directly with clients to understand their needs and recommend appropriate solutions.
- Implementing features to a high standard of engineering, which includes good documentation and automated testing.
- Participating in sprint planning sessions, retrospectives and code reviews.
- Ensuring our high engineering standards are maintained and our clients are delighted.
- Staying up-to-date with a fast-moving industry, embracing new tools and frameworks.
As well as client work, we also set aside time to work on R&D projects and produce content in the form of blogs and videos. These projects are how we keep on top of a fast-moving technology landscape, in addition to being our greatest source of marketing. You’ll have the opportunity to craft your own voice in the MLOps community through R&D content.
Skills and Experience
Our team is made up of a mix of backgrounds. We are looking for smart, curious people who are always expanding their knowledge, and exploring new and emerging technologies. If you get excited about keeping up with the newest large language models, or figuring out how to scale generative models in the cloud, then you’ll fit right in.
- Able to commute to our central Manchester office 3 days per week.
- A degree in computer science, mathematics, or a science related subject.
- A passion for coding, data science, and open source technologies.
- Ability to write and review production-grade Python.
- Experience with cloud computing, for example AWS, Google Cloud or Azure, along with modern DevOps practices and infrastructure-as-code tools.
- Fluency in our core software tooling: Git, Unix/Linux, Docker. Plus, a strong opinion on your IDE / editor of choice is welcome
- Familiarity with modern machine learning tools, for instance TensorFlow, Keras, PyTorch or SKLearn. Commercial experience with these is not essential.
- Excellent communication skills; both in customer-facing and internal team communication.
- Knowledge of MLOps is not essential, but some awareness of this emerging space is good to have.
Due to the sensitive nature of some projects, you will be expected to undergo UK government security clearance after you start (at SC level – seethis link for more information). This will include a credit check and criminal records check.
By joining a small company you’ll have the chance to make a real impact on its future. There’s plenty of room for growth and we’ll work with you to help you realise your technical and personal ambitions because your success and the company’s success are one and the same.
- 25 days holiday rising to 30 with service.
- Equity option scheme, giving you agenuine stake in the business.
- Cycle to Work Scheme.
Location
We run anorganised hybrid scheme. On Monday, Wednesday and Thursday we work in the office, and use these days for the type of activities where being present in person brings benefits; for example sprint planning, project scheduling, retrospectives, social lunches and one to ones.
Interested?
If you’d like to work with us, send us a CV to the email address below, and include a few words about yourself, and what interests you about the role and Fuzzy Labs. We love to see your passion for technology, so please include any links to your Github, Kaggle, tech blog, and cool side-projects, if you have them.
MLOps Engineer in Manchester employer: Manchestertechfestival
Fuzzy Labs is an exceptional employer located in the heart of Central Manchester, offering a vibrant hybrid work culture that fosters innovation and collaboration. With a strong commitment to employee growth, we provide opportunities for continuous learning in the exciting field of MLOps, alongside benefits such as equity options and a generous holiday allowance. Join us to make a meaningful impact in the AI community while working with passionate individuals who value creativity and positive change.
StudySmarter Expert Advice🤫
We think this is how you could land MLOps Engineer in Manchester
✨Tip Number 1
Familiarise yourself with the latest trends in MLOps and machine learning. Follow relevant blogs, podcasts, and social media accounts to stay updated. This will not only help you during interviews but also show your genuine interest in the field.
✨Tip Number 2
Engage with the MLOps community by participating in forums or attending meetups. Networking with professionals in the field can provide valuable insights and may even lead to referrals for job openings.
✨Tip Number 3
Showcase your coding skills by contributing to open-source projects related to MLOps. This demonstrates your passion for the field and gives you practical experience that can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your problem-solving approach during interviews. Think of examples where you've tackled challenges in coding or data science, as this aligns with Fuzzy Labs' culture of embracing new problems and finding innovative solutions.
We think you need these skills to ace MLOps Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant skills and experiences that align with the MLOps Engineer role. Emphasise your passion for coding, data science, and any experience with open source technologies.
Craft a Personalised Cover Letter:In your cover letter, express your enthusiasm for Fuzzy Labs and the MLOps field. Mention specific projects or technologies that excite you and how you can contribute to their mission of using AI for good.
Showcase Your Projects:Include links to your GitHub, Kaggle, or any tech blogs where you've shared your work. Highlight any side projects that demonstrate your coding skills and familiarity with machine learning tools like TensorFlow or PyTorch.
Communicate Your Growth Mindset:In your application, convey your eagerness to learn and grow within the MLOps space. Share examples of how you've tackled challenges in the past and your commitment to staying updated with industry trends.
How to prepare for a job interview at Manchestertechfestival
✨Show Your Passion for Open Source
Fuzzy Labs values a genuine passion for Open Source and MLOps. Be prepared to discuss your experiences with open source projects or any contributions you've made. This will demonstrate your alignment with their culture and mission.
✨Demonstrate Your Curiosity
The ideal candidate is someone who is always expanding their knowledge. Share examples of how you've kept up with emerging technologies, particularly in AI and MLOps. This shows that you're motivated to grow alongside the company.
✨Prepare for Client Interaction Scenarios
Since you'll be working directly with clients, think about how you would approach understanding their needs. Prepare to discuss past experiences where you've successfully communicated technical concepts to non-technical stakeholders.
✨Highlight Your Technical Skills
Be ready to talk about your proficiency in Python, cloud computing, and modern DevOps practices. Mention any relevant tools you've used, like Git, Docker, or machine learning frameworks. This will help establish your technical credibility.
