About us

Fuzzy Labs is a fast-growing Applied AI engineering consultancy based in Manchester. We help organisations turn ambitious AI ideas into secure, reliable systems that work in the real world.

Our work runs from research and rapid prototypes through to production software, AI evaluation and cloud infrastructure at scale, for clients ranging from innovative startups and global organisations to policing and secure government. That means genuinely hard problems and real impact.

The role

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.

This role suits experienced engineers looking for a forward-deployed engineering role where they can combine strong software engineering, applied AI, technical leadership, and hands-on customer problem solving. You’ll work close to the people using what we build, helping turn ambiguous AI opportunities into reliable production systems.

As a Senior Applied AI Engineer, we’ll look to you to take ownership of complex technical workstreams, help shape the direction of projects, support other engineers, and work confidently with customers to understand their needs and deliver high-quality solutions.

What you’ll do

Our engineers collaborate closely with their team leads and the customer to design and implement high quality AI 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 helping shape ambiguous problems, leading demos, participating in discovery workshops, visiting customer sites where useful, and supporting training sessions.
Taking ownership of technical workstreams, from early discovery and prototyping through to the design, build and deployment of secure, reliable, production-grade AI systems.
Designing and implementing features and full workstreams to a high standard of engineering, including good documentation, automated testing, observability, maintainable code and clear technical decision-making.
Building with modern AI techniques and tooling, which may include LLM-powered applications, retrieval augmented generation, model serving, evaluation frameworks, AI agents, data pipelines, and cloud-native infrastructure.
Working with your team lead and other engineers to design systems, plan implementation, break down technical work, and manage delivery risks.
Contributing to sprint planning, retrospectives and code reviews, while helping maintain high engineering standards across the team.
Supporting and mentoring other engineers by sharing context, reviewing technical approaches, and helping the team make good engineering decisions.
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&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 applied AI and MLOps community through R&D content.

Why join Fuzzy Labs?

Work at the frontier of Applied AI: shape how fast-moving AI technologies are used in production, using open source where it fits.
Real impact: solve meaningful problems for innovative companies, AI safety and security teams, policing and secure government.
Space to explore: dedicated time for R&D, open-source work, blogs and videos, and the chance to build your own voice in the applied AI community.
Grow with us: take on more technical, client and leadership responsibility as the company grows.

The important details

Equity: equity options, a genuine stake in Fuzzy Labs
Office: modern central Manchester office with an on-site gym. We’re in on Mondays, Wednesdays and Thursdays.
Travel: occasional visits to client sites across the UK
Security clearance: you’ll need SC clearance after you start, which includes credit and criminal record checks, so we can only consider candidates with 5+ years’ UK residence
Holiday: 25 days, rising to 30 with length of service
Development: £500 annual budget, plus the AI assistant(s) of your choice
Benefits: healthcare cash plan, enhanced maternity, paternity and adoption leave, Cycle to Work, volunteering time and company socials

Skills and experience

An undergraduate degree in computer science, mathematics, or similar, or a relevant postgraduate degree.
A passion for coding, machine learning, AI, open source technologies, and setting high standards for their implementation and adoption.
Strong experience building production-grade software in Python. This could include training and serving machine learning models, building large-scale inference services, integrating data stores, building APIs, or deploying AI-powered applications.
Experience with machine learning or generative AI systems, such as LLM-powered applications, RAG pipelines, embeddings, prompt engineering, model evaluation, agents, model serving, or ML workflows.
Experience designing and delivering cloud-based systems, for example using AWS, Google Cloud or Azure, along with modern DevOps practices and infrastructure-as-code tooling.
Experience making technical decisions across a project or workstream, including balancing delivery speed, reliability, security, maintainability and customer needs.
Experience delivering software using an agile development methodology.
Fluency in our core tooling: Git, Unix/Linux, Docker, and common open-source AI, ML or MLOps tools.
You should be aware of the broad landscape of AI and machine learning applications, tools, and technologies and willing to deepen your knowledge.

Don’t tick every box? Apply anyway. Applied AI sits across software engineering, ML engineering, data science, DevOps and product delivery, so you don’t need “applied AI” in your job title. We care more about strong engineering foundations, leadership experience, what you know deeply and how quickly you learn.

Diversity, Equity & Inclusion

At Fuzzy Labs, we believe diverse teams build better technology. We're committed to creating an inclusive environment where everyone feels valued, respected and able to do their best work. We welcome applications from people of all backgrounds, experiences and perspectives, and encourage you to apply even if you don't meet every requirement listed in the job description.

Interested?

If you’d like to work with us, please use the link below. Include a few words about yourself and what interests you about the role, plus a link to your GitHub, Bitbucket or similar. If you’re on Kaggle, have a tech blog, a cool side project, or an Instagram for your cat, dog, etc, send us that too!

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Apply now

Senior Applied AI Engineer