At a Glance
- Tasks: Join a dynamic team to support MLOps projects and client interactions.
- Company: Fuzzy Labs is an innovative MLOps consultancy focused on open-source solutions.
- Benefits: Enjoy 25 days holiday, equity options, and a supportive hybrid work environment.
- Other info: Opportunities for personal growth and contributions to the MLOps community.
- Why this job: Be part of a passionate team making a positive impact with AI technology.
- Qualifications: No MLOps experience needed; enthusiasm for coding and machine learning is key.
The predicted salary is between 28800 - 43200 € per year.
Date: July 2025
Company: Fuzzy Labs
Job Title: Junior MLOps Engineer
Location: Central Manchester
Working style: Hybrid
With a team of industry-leading specialists, we conceive and build open-source solutions that break new ground. When a problem looks impossible, we find a way; if the right tool doesn’t exist, we build one. We harness and channel the power of AI to create positive, meaningful change.
About Fuzzy Labs
Fuzzy Labs is an MLOps consultancy obsessed with the open-source ecosystem. We partner with data-science teams in the private and public sectors to get machine-learning products into production faster, safer, and with less technical debt. We contribute to (and rely on) the global open-source community, believing the best innovation happens in the open.
We doubled revenue in the past 12 months and have equally bold growth plans for the year ahead. We’re creating an exciting new opportunity for a Junior MLOps Engineer. You’ll learn and grow alongside experienced engineers and technical leaders while immersing yourself in this cutting-edge area of technology.
About the Role
We’re based in central Manchester, UK, operating on a hybrid model, with full-time team members typically spending three days a week in the office (Monday, Wednesday, Thursday). We use these days for activities where being present in person adds real value, such as sprint planning, project scheduling, retrospectives, social lunches, and one-to-ones.
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.As a result,we’re only able to consider candidates who have been resident in the UK for 5 or more years and are UK citizens.
What You’ll Be Doing
You’ll be working within a supportive engineering squad, contributing to every stage of our project delivery lifecycle, including:
- Assisting with client interactions to understand needs and help recommend solutions.
- Implementing features alongside experienced engineers, maintaining high standards of documentation and testing.
- Actively participating in sprint planning sessions, retrospectives, and code reviews.
- Supporting our commitment to maintaining excellent engineering standards and delighting our clients.
- Learning new technologies, tools, and best practices in a supportive environment.
Alongside client work, you’ll also contribute to our R&D projects and have opportunities to develop your voice within the MLOps community through writing blogs, producing videos, and exploring new technologies.
Who We’re Looking For
You do not need an existing MLOps background—this role is ideal for recent graduates or anyone with a software engineering or data science background looking to specialise in an exciting and rapidly evolving field
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 data, software, AI, 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.
The ideal candidate would be motivated to grow and progress in line with the company’s ambitions. Even if you feel you only meet some of the criteria below, we encourage you to apply. We value curiosity, enthusiasm, and a willingness to learn above all.
You’ll ideally have:
- Enthusiasm for coding, machine learning, and open-source technology.
- Experience in Python programming (academic or personal projects are suitable).
- Basic familiarity with cloud computing (AWS, Google Cloud, Azure) and interest in modern DevOps practices (e.g. infrastructure-as-code).
- Comfort with or willingness to learn agile software delivery practices.
- Familiarity with core software tooling: Git, Unix/Linux, Docker. Opinions on your favourite IDE/editor are encouraged!
- Awareness of modern machine learning tools (e.g., TensorFlow, Keras, PyTorch, SKLearn).
- Excellent communication skills, both customer-facing and within internal teams.
- Some awareness of MLOps is beneficial but not essential.
What We Can Offer You
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 (+ bank holidays), increasing to 30 with service.
- Equity option scheme, giving you a genuine stake in the business.
- Cycle to Work Scheme.
- Company pension.
- All the unsolicited coffee-making advice you could ask for.
Interested?
If you’d like to work with us, send us a CV tofuzzicians@fuzzylabs.ai . 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.
#J-18808-LjbffrJunior MLOps Engineer in Manchester employer: Manchestertechfestival
Fuzzy Labs is an exceptional employer located in the heart of Central Manchester, offering a hybrid working model that fosters collaboration and innovation. With a strong commitment to employee growth, you will have the opportunity to learn from industry leaders while contributing to meaningful projects in the open-source ecosystem. Enjoy a supportive work culture, competitive benefits including equity options, and the chance to make a real impact in the rapidly evolving field of MLOps.
StudySmarter Expert Advice🤫
We think this is how you could land Junior MLOps Engineer in Manchester
✨Tip Number 1
Familiarise yourself with the open-source tools and technologies that Fuzzy Labs uses. Engage with their projects on platforms like GitHub to understand their contributions and showcase your enthusiasm for open-source solutions.
✨Tip Number 2
Network with current employees or alumni who have experience in MLOps or similar roles. This can provide you with insights into the company culture and expectations, and may even lead to a referral.
✨Tip Number 3
Participate in online communities and forums related to MLOps and machine learning. Engaging in discussions and sharing your knowledge can help you build a reputation in the field and demonstrate your passion for the subject.
✨Tip Number 4
Prepare to discuss your personal projects or academic work related to Python programming and machine learning during interviews. Highlighting your hands-on experience will show your commitment to learning and growing in this exciting field.
We think you need these skills to ace Junior 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 Junior MLOps Engineer role. Emphasise any coding, machine learning, or open-source projects you've worked on, even if they were academic or personal.
Craft a Compelling Cover Letter:In your cover letter, express your enthusiasm for the role and Fuzzy Labs. Mention specific aspects of the company that resonate with you, such as their commitment to open-source solutions and positive impact through AI.
Showcase Your Passion:Include links to your GitHub, Kaggle, or any tech blogs where you share your projects or insights. This will demonstrate your passion for technology and your proactive approach to learning.
Highlight Communication Skills:Since excellent communication is key for this role, provide examples in your application that showcase your ability to interact effectively with clients and team members. This could be through previous work experiences or group projects.
How to prepare for a job interview at Manchestertechfestival
✨Show Your Passion for MLOps
Make sure to express your enthusiasm for MLOps and open-source technology during the interview. Share any personal projects or experiences that highlight your interest in machine learning and coding, as this will resonate well with the team at Fuzzy Labs.
✨Demonstrate Your Problem-Solving Skills
Fuzzy Labs values innovative solutions to complex problems. Be prepared to discuss how you've approached challenges in the past, whether in academic settings or personal projects. Highlight your ability to think critically and creatively when faced with obstacles.
✨Familiarise Yourself with Their Tools
Before the interview, brush up on the tools and technologies mentioned in the job description, such as Python, Git, Docker, and cloud platforms like AWS or Google Cloud. Showing familiarity with these tools will demonstrate your readiness to contribute from day one.
✨Prepare Questions About Team Culture
Fuzzy Labs places a strong emphasis on teamwork and community. Prepare thoughtful questions about their team culture, collaboration practices, and how they support professional growth. This shows your genuine interest in being part of their team and aligns with their values.
