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 Open Source MLOps.
- 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 a positive impact with AI and grow your skills.
- Qualifications: Motivated engineers eager to learn and solve creative problems.
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 - Hybrid, Open Source Focus 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 such as 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 - Hybrid, Open Source Focus
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the MLOps community. Attend meetups, webinars, or even local tech events. The more people you know, the better your chances of landing that dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to Open Source and MLOps. This is your chance to demonstrate your passion and expertise, so make it shine!
✨Tip Number 3
Don’t just apply – engage! When you find a role that excites you, reach out to current employees on LinkedIn. Ask them about their experiences and share your enthusiasm for the company. It’s all about making connections!
✨Tip Number 4
Keep learning and adapting! The tech world moves fast, especially in MLOps. Stay updated with the latest trends and tools, and don’t hesitate to mention any new skills you’ve picked up in your conversations or interviews.
We think you need these skills to ace Senior MLOps Engineer - Hybrid, Open Source Focus
Some tips for your application 🫡
Show Your Passion for Open Source:We want to see your enthusiasm for Open Source and MLOps in your application. Share any personal projects or contributions you've made to the community, as this will help us understand your commitment to the field.
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your relevant experience and skills that align with our job description. We love seeing how your background fits into our mission of using AI for good!
Be Authentic:Don’t be afraid to let your personality shine through in your application. We value authenticity and want to get to know the real you, so share your unique perspective and experiences that have shaped your journey in tech.
Apply Through Our Website:For the best chance of success, make sure to apply directly through our website. This helps us keep track of applications and ensures you’re considered for the role you’re excited about!
How to prepare for a job interview at Fuzzy Labs
✨Know Your MLOps Inside Out
Make sure you brush up on your MLOps knowledge, especially around Open Source tools and frameworks. Familiarise yourself with the latest trends and technologies in the field, as this will show your passion and commitment to staying at the forefront of the industry.
✨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 that highlight your ability to innovate and adapt in a fast-paced environment.
✨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 making a positive impact through your work. This will demonstrate that you're not just looking for a job, but a place where you can make a difference.
✨Prepare for Collaborative Scenarios
Since teamwork is crucial at Fuzzy Labs, be prepared to discuss your experience working in collaborative environments. Think of examples where you've successfully led demos or participated in workshops, as well as how you’ve built strong relationships with clients and team members.
