At a Glance
- Tasks: Design and implement high-quality MLOps solutions while collaborating with clients and your team.
- Company: Fast-growing tech consultancy in Manchester focused on positive AI impact.
- Benefits: 25 days holiday, personal development budget, equity options, and hybrid working.
- Other info: Dynamic environment with opportunities for personal and technical growth.
- Why this job: Join a passionate team making real-world impact with cutting-edge AI technology.
- Qualifications: Motivated engineers eager to learn and grow in the MLOps field.
The predicted salary is between 60000 - 80000 £ per year.
Fuzzy Labs is a fast-growing, Manchester-based tech consultancy that helps a diverse range of clients productionise machine learning using Open Source MLOps. We exist to help our customers harness and channel the power of AI safely and effectively, to make positive change and use AI for good. Our work sits across the whole development lifecycle, from prototyping new machine learning models to building scalable and secure production ML systems, and everything in between. Our work spans disruptive startups, multi-national organisations, policing, and secure government sectors, providing you with the unique opportunity to make a tangible, real-world impact.
We’ve had considerable growth over the last few years and we’re looking to continue with this momentum as we build on our reputation as Open Source MLOps experts, expand our role within the community, and continue to deliver high-quality solutions to our clients.
What we’re looking for
The ideal candidate will be motivated to grow and progress in line with the company’s ambitions: we’re looking for passionate engineers with an appetite for keeping up with the cutting edge, an eye for detail, and a knack for creative problem solving. 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 our 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
Our engineers collaborate closely with their team leads and the customer to design and implement high quality solutions. We encourage our senior engineers to work with a high degree of autonomy and own workstreams across every stage of the project delivery lifecycle, including:
- Working closely with clients to understand their needs, build strong relationships, and bring them along on the journey. This includes leading demos and participating in workshops and training sessions.
- Designing and implementing features and full workstreams to a high standard of engineering, including good documentation and automated testing.
- Contributing to sprint planning, retrospectives and code reviews, working with your team lead to design systems and plan their implementation.
- 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, and sharing our learnings with the team.
As well as client work, we also set aside time to work on R you don’t need an explicit MLOps background to apply for this role, as you’ll learn as you go by immersing yourself in this exciting new field. By joining a growing 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.
Benefits
- 25 days holiday rising to 30 with each year of service
- Enhanced family leave, including maternity, paternity and adoption leave
- £500 annual personal development budget and AI assistant of your choice
- Equity option scheme, giving you a genuine stake in the business
- Hybrid working in a vibrant, central Manchester office with free fruit, cereals, and hot drinks
Senior MLOps Engineer employer: Fuzzy Labs
Fuzzy Labs is an exceptional employer that fosters a vibrant and collaborative work culture in the heart of Manchester, where innovation meets purpose. With a strong commitment to employee growth, we offer generous benefits including a personal development budget, equity options, and flexible hybrid working arrangements, ensuring that our team members thrive both personally and professionally. Join us to be part of a passionate community dedicated to harnessing AI for good, while making a tangible impact across diverse sectors.
StudySmarter Expert Advice🤫
We think this is how you could land Senior MLOps Engineer
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the MLOps community. Attend meetups, webinars, or even just grab a coffee with someone in the field. Building relationships can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to MLOps. Whether it's a GitHub repo or a personal website, having tangible evidence of your work can really impress potential employers.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s values and projects. Fuzzy Labs is all about using AI for good, so think about how your experience aligns with their mission. Tailor your responses to show you’re not just a fit technically, but culturally too.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Fuzzy Labs team. Let’s make some positive change together!
We think you need these skills to ace Senior MLOps Engineer
Some tips for your application 🫡
Show Your Passion for MLOps:When you're writing your application, let your enthusiasm for MLOps shine through! We love candidates who are genuinely excited about the field and eager to learn. Share any personal projects or experiences that highlight your passion for Open Source and machine learning.
Tailor Your Application:Make sure to customise your application to fit our job description. Highlight your relevant skills and experiences that align with what we're looking for. This shows us that you’ve done your homework and understand what we value at Fuzzy Labs.
Be Authentic:We appreciate authenticity, so don’t be afraid to let your personality come through in your writing. Share your unique perspective on how you can contribute to our team and culture. Remember, we’re looking for someone who fits in with our values of collaboration and positive impact!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company and what we stand for!
How to prepare for a job interview at Fuzzy Labs
✨Know Your MLOps Basics
Before the interview, brush up on your MLOps knowledge. Familiarise yourself with key concepts, tools, and frameworks that are currently trending in the industry. This will not only show your passion for the field but also demonstrate your commitment to staying updated.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Fuzzy Labs values creative problem-solving, so think of examples where you’ve innovated or improved processes, especially in machine learning contexts.
✨Engage with Their Mission
Familiarise yourself with Fuzzy Labs' mission to use AI for good. Be ready to discuss how your values align with theirs and how you can contribute to their goal of making a positive impact through technology.
✨Ask Insightful Questions
Prepare thoughtful questions about the company culture, team dynamics, and ongoing projects. This shows your genuine interest in the role and helps you assess if it’s the right fit for you. Plus, it opens up a dialogue that can make the interview feel more like a conversation.
