Machine Learning Engineer

Interaxis Machinery Services Ltd
Grantham, United Kingdom
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 48K

Job location

Remote
Grantham, United Kingdom

Tech stack

Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
Sound Recording and Reproduction
C++
Cloud Computing
Codecs
Data Visualization
Python
Machine Learning
Oracle Applications
Signal Processing
Software Systems
Management of Software Versions
PyTorch
Large Language Models
Backend
Machine Learning Operations

Job description

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, We are hiring for Senior Systems Engineer(HCM / Employee Records, Absence / Recruitment / Learning / Performance - ORACLE) Location : Remote - Expert-level knowledge of Oracle Cloud HCM modules, specifically Employee Records, Absence Management, Recruitment, Learning, and..., Manufacturing Engineer - NC/CMM Programmer (Machining) Location: BAE Systems Warton Contract: 12 months Working Pattern: 4-5 days on site per week Security Clearance: BPSS required, SC in Flight (UK Eyes Only, subject to ITAR) The Role We are seeking a Manufacturing..., A leading digital retailer is seeking an Engineering Manager to lead a team of Engineers in delivering key technology projects. You will be responsible for technical leadership, fostering team performance, and ensuring high-quality software solutions in a cloud environment...., Multi Skilled Maintenance Engineer Liverpool Double Day Shift Up to £41,000 Additional Hours If Required We are looking for a motivated Multi-Skilled Maintenance Engineer to join a leading manufacturer. Reporting directly to the engineering manager you will be a key..., Job Title: Power Press Maintenance Engineer Location: Bootle, Merseyside Salary: £47,500 per annum Shift: Day Shift About the Role We are seeking a skilled and experienced Power Press Maintenance Engineer to join our maintenance team at our Bootle facility. This is a day...

Requirements

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, Machine Tool Service Engineer We are seeking an electrically biased Service Engineer to join our team, focusing on clients within the Northwest (Manchester and Lancashire) area. While an electrical bias is preferred, we are open to candidates with a balanced 50/50...

Benefits & conditions

  • 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

About the company

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