Machine Learning Engineer in Manchester

Location: Remote (UK or Greece)

Salary: Competitive, based on experience

Job Type: Full-Time

Working for Krotos

We revolutionize sound creation by making Hollywood-quality sound accessible to everyone. Our groundbreaking software, featured in blockbuster productions like Avengers and Game of Thrones, empowers creators to design high-quality sound faster and more intuitively. Our mission is to change the way people design and perform sound. As a fast-growing, remote-first company, we are pushing the boundaries of creativity and innovation in content creation.

The role

Join our R&D team as an ML specialist to research, develop and ship technologies that change how people create sound. We're building systems that understand, manipulate and generate audio in ways that feel genuinely intuitive to professionals and we're nowhere near done. You'll own problems end-to-end, from identifying the right approach to getting it in front of customers, working closely with product to make sure what we build actually matters.

Key objectives

• Research and develop multimodal AI technologies that improve the way people work with sound
• Build and optimise LLM-powered audio pipelines and extend our Qwen-based vision model for audio production use cases
• Identify opportunities to apply the latest advances in generative AI and multimodal research to the professional audio field

Responsibilities

• Work within the team and research engineers to solve problems for film makers & sound designers
• Design and maintain backend inference systems that meet the latency and quality demands of professional audio workflows
• Collaborate with product and engineering teams to implement ML research in commercial products
• Work with the product owner to identify where ML creates the most value for customers
• Clearly and effectively communicate ML concepts, model behaviour and tradeoffs to the wider business
• Provide technical guidance on model architecture, fine-tuning strategy and deployment decisions

Skills and experience

Essential:

• A degree in a relevant field or extensive professional experience
• Experience in commercial machine learning research and development
• Strong hands-on experience fine-tuning and adapting large language models (LoRA, QLoRA, PEFT, DPO/RLHF)
• Experience working with data, training and evaluating machine learning models
• Experience with multimodal architectures — audio-language, vision-language, or both
• Extensive audio and signal processing knowledge — spectral features, neural codecs, generative audio models
• Experience deploying models to cloud inference (AWS or GCP) with awareness of latency and cost tradeoffs
• MLOps competency — experiment tracking, model versioning, evaluation pipelines, ML CI
• Experience with Python and modern ML frameworks (PyTorch, JAX)
• Excellent verbal and written English communication skills
• Excellent analytical and problem-solving skills
• A desire to innovate and push current practice

Desirable:

• Experience with vision-language models, particularly Qwen-VL or similar
• Experience with Agile software development practices
• Familiarity with VST/AU plugin architectures and real-time audio constraints
• Experience delivering ML technologies shipped in commercial audio software
• Knowledge of sound design and audio post-production workflows
• C++ reading ability
• Previously registered audio machine learning patents

Team Core Values

• Inventive. Driven. Transparent. Our values define who we are and how we work:
• Honesty & Transparency: We communicate openly, share the truth even when it's difficult, and build trust through clarity
• Team Player: We collaborate, support each other, and put collective success above ego
• Problem Solver: We face challenges head-on and find creative, practical solutions.
• Open-Minded: We listen to others, consider different perspectives, and recognise the complexity of good decisions
• Politeness & Respect: We treat colleagues and customers with courtesy and professionalism
• Curiosity & Growth: We love learning, experimenting, and continuously improving
• Data-Driven: We let insights and evidence guide our decisions, not guesswork
• High Standards: We take pride in excellence and pay attention to the details that matter
• Strong Work Ethic: We commit, follow through, and work hard to achieve ambitious goals

Benefits

• Competitive salary and benefits package
• Private health insurance
• Opportunities for professional growth and development
• Flexible, remote working environment
• Access to cutting-edge technology and tools
• Exciting projects in a fast-growing, innovative company

Next steps

Send your CV and a cover letter to admin@krotosaudio.com explaining why you are the best candidate for this role, referencing the requirements above and including two to three brief examples of relevant results.

Note: All offers are subject to eligibility to work in the UK or Greece and satisfactory references.

At Krotos, we value diversity and are committed to fostering an inclusive environment. We encourage applications from candidates of all backgrounds. Reasonable adjustments are available throughout the application and interview process.