At a Glance
- Tasks: Lead AI projects, write code, and mentor team members while delivering impactful solutions.
- Company: Fuzzy Labs, a fast-growing tech consultancy based in Manchester.
- Benefits: 25 days holiday, enhanced family leave, healthcare plan, and personal development budget.
- Other info: Dynamic environment with opportunities for growth and a stake in the business.
- Why this job: Join a passionate team using AI for good and make a real-world impact.
- Qualifications: Experience in software engineering and a willingness to learn about MLOps.
The predicted salary is between 56700 - 69300 £ 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.
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
You’ll work within an engineering squad and take part in every stage of the project delivery lifecycle, including:
- Being hands-on with the technical delivery of the project. As a technical leader, you’ll be writing code (of course), while also setting the standard in terms of engineering quality for your colleagues.
- Working directly with clients to understand their needs and recommend appropriate solutions.
- Owning the delivery of client projects, from discovery to completion and handover.
- Leading sprint planning sessions, retrospectives and code reviews.
- Working as part of the team, sharing and reviewing ideas, mentoring and guiding team members through technology, architecture, and implementation details.
- Helping to grow the team by taking part in hiring and interviewing.
- Helping to write proposals for new clients, and participating in the technical side of the sales process.
- Supporting your team members’ personal development objectives within client projects.
- 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.
Familiarity with modern machine learning tools, for instance TensorFlow, Keras, PyTorch or SKLearn. Commercial experience with these is not essential. You should be aware of the broad landscape of machine learning applications, tools, and technologies and willing to deepen your knowledge. Excellent communication skills; both in customer-facing and internal team communication. We encourage you to apply even if you don’t meet all of the requirements. MLOps is an emerging field, which sits somewhere in the intersection of data science, machine learning engineering, and DevOps. We’re excited to speak to candidates from any of these backgrounds; 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.
Benefits
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.
- 25 days holiday rising to 30 with each year of service
- Enhanced family leave, including maternity, paternity and adoption leave
- Healthcare cash plan
- £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
Lead Applied AI Engineer employer: Fuzzy Labs Limited
Fuzzy Labs Limited is an exceptional employer located in the vibrant city of Manchester, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from a strong focus on professional growth, with opportunities to engage in cutting-edge projects in Applied AI while working alongside talented teams. The company values engineering excellence and provides a supportive environment where creativity thrives, making it an ideal place for those looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Applied AI 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 Fuzzy Labs Limited 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 Fuzzy Labs Limited.
✨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 Fuzzy Labs Limited.
✨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 Fuzzy Labs Limited 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 Lead Applied AI 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 Fuzzy Labs Limited.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Fuzzy Labs Limited 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 Fuzzy Labs Limited
✨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 Fuzzy Labs Limited 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.
