Audio engineering jobs in Reino Unido

Lead Machine Learning Engineer Location: London (Hybrid) Salary: Highly Competitive + Benefits We’re partnered with an innovative AI company building world-class technology that powers real-time voice and audio intelligence. Their products use deep learning and signal processing to isolate speech, eliminate background noise, and enhance communication clarity across enterprise, consumer, and high-performance sectors. They’re now looking for a Lead Machine Learning Engineer to take a hands-on leadership role within their R&D team. This position combines technical ownership and strategic direction, guiding the research, development, and deployment of machine learning models for real-time speech enhancement. Responsibilities: • Lead the design, training, and optimisation of ML models for speech separation and noise reduction., • Provide technical leadership and mentorship to a small, high-performing engineering team., • Bridge research and production — ensuring scalable, low-latency model deployment., • Collaborate cross-functionally with software and product teams to integrate ML systems into live products., • Contribute to the company’s long-term AI strategy and technical roadmap. Requirements: • MSc or PhD in Computer Science, Machine Learning, or Signal Processing., • Proven experience in leading or mentoring ML/AI engineering teams., • Deep understanding of digital signal processing and speech/audio modelling., • Proficiency with Python, PyTorch/TensorFlow, and modern ML frameworks., • Track record of delivering production-grade ML systems with measurable performance improvements., • Experience with low-latency inference and model optimisation (ONNX, TensorRT, quantisation) is highly desirable. This is an opportunity to take ownership of the machine learning function within a growing AI company, driving innovation in real-time communication and audio intelligence. If you fit the requirements and are interested in this opportunity, then apply now! Otherwise, if you're interested in any other AI/ML and Computer Vision roles, then reach out to Oscar Harper at IC Resources.

Join an innovative audio technology company | London, hybrid working model This pioneering start-up is transforming the world of sound through AI-powered audio enhancement. Their patented DSP and AI models are already being used in mission-critical environments and they’re now looking to expand their embedded engineering team. They’re seeking an Embedded Software Engineer to help design and develop next-generation embedded audio solutions. In this role, you’ll work on the full lifecycle of embedded systems, developing secure and compliant firmware, and supporting the continued growth of an emerging engineering team. For this Embedded Software Engineer role, we’re looking for someone with: • Strong commercial experience in embedded software development, • Experience with secure firmware (OTA or OTW updates, secure firmware, TrustZone etc), • Knowledge of regulatory compliance (CE/CRA/ISO), • A solid understanding of the full embedded development lifecycle, • Familiarity with CI/CD systems What’s next? For more information on this role, or any other jobs across Embedded, Firmware, C++ Programming, Linux Kernel, or Device Driver Development, please contact Callum Allen today.

DATA ENGINEER LONDON £75,000 THE COMPANY This dynamic media powerhouse is a leader in audio, publishing, and digital content. As part of a global team, you’ll play a pivotal role in shaping how data drives revenue and audience engagement, especially in the high-impact world of radio competitions. Your work will directly influence how markets across the UK and EU leverage data to optimize commercial performance, from advertising metrics to competition insights. THE ROLE As a Data Engineer, you will build and refine the data infrastructure that powers global commercial reporting and competition analytics. Your expertise will ensure the right data is in the right place, enabling teams to measure revenue, pricing, and audience engagement effectively. Specifically, you can expect to be involved in the following: • Technical tasks: Designing and maintaining scalable data pipelines (Python, SQL), optimizing cloud-based data platforms (GCP/AWS), and collaborating on analytics layers to support real-time decision-making., • Other key responsibilities: Partnering with cross-functional teams to rebuild competition data infrastructure, ensuring seamless data collection and analysis for marketing and revenue insights. SKILLS AND EXPERIENCE The successful Data Engineer will have the following skills and experience: • 3+ years of hands-on experience in data engineering, with a focus on analytics layers., • Proficiency in Python and SQL—essential for pipeline development and data transformation., • Experience with cloud platforms (GCP preferred, but AWS also valued)., • A proactive, honest, and tech-agnostic mindset - unafraid to challenge the status quo and drive improvements. BENEFITS The successful Data Engineer will receive the following benefits: • Salary up to £75,000, • Flexible working arrangements, including hybrid/remote options – 2x per week in the London office maximum., • Opportunities for professional growth in a rapidly expanding team., • A collaborative environment where your ideas shape global strategy. HOW TO APPLY Please register your interest by sending your resume/CV to Joana Alves via the Apply link on this page.

Bermondsey Electronics is a contract electronics development company looking for an embedded software developer to expand the team. The successful applicant will work on a wide variety of systems, with different targets and design goals, based from the office in Bermondsey. We need a new engineer to be involved in peripheral and board bring-up. This means testing PCBs coming in from clients. Clients have occasionally tested boards but not always, and usually not fully. They might not have the skills or might not know how a specific peripheral works. Our job is to prove the board fundamentally works, and develop or debug drivers as necessary. Higher level application code is usually done by those specialists and is not expected to be a fundamental part of this role. It's a useful skill if you have it, though. In the last year, this has meant working with STM32, DA1453x, NXP iMX RT and RW6xx platforms, iMX 8M Plus and Nano. Software platforms range from bare metal to FreeRTOS to Zephyr, through Linux and all the way up to Android. At each stage, clients have either not been able to supply drivers, or a delivery from a supplier has had to be debugged or modified. With that done, the PCB is handed off to application developers, or the client will issue us another board to repeat the cycle. Suppliers usually deliver drivers in C. These are often of unknown quality. They may need configuration, and sometimes a device tree. As examples: We ported TI's CC3351 driver to STM32 and brought up lwIP on FreeRTOS We brought up a new iMX8MP Linux platform using LVDS and a bespoke RFID driver We rewrote an ESP32 bootloader for a client to update partition tables OTA We tested and verified RW610 power modes in Zephyr We rewrote the STM32 Eclipse ThreadX USB Audio Host driver to support USB MIDI We debugged an Infineon WiFi driver low power mode on Android on iMX8MP Typically LLMs do not have enough training data to help. They usually cannot work out schematic errors, or spot placement issues on a board. If you use LLMs heavily, you are unlikely to find them as useful in this role. It can mean writing and/or debugging drivers like SPI, DAC or LVDS. Typically test and measurement gear is needed, e.g. logic analyser, scope, bench power supply etc. There can be a lot of time configuring demo code to run in the mode the client requires, perhaps on a different target. When the code is running, we may need to capture signal traces to diagnose the fault. When we have the fault, we might need to change the code or the hardware, or both, for the client feature to work. Please note this role is not to develop hardware. Clients supply us boards to bring up. If you want to design PCBs from scratch, this is not the job for you. If you enjoy bringing up software stacks on new hardware, this is the job for you! Any knowledge of embedded OS is an advantage (FreeRTOS, Zephyr, Linux/Android, ThreadX). Ability with a soldering iron is useful. Familiarity with automated testing is useful but not required (e.g. hardware-in-the-loop). If you thrive in responsive, hands-on work and enjoy solving difficult problems efficiently, this could be the right role for you! Candidates must be eligible to work in the UK. No exceptions. We cannot sponsor a visa at this time. We cannot sponsor a candidate whose graduate visa will expire. Candidates must know embedded C programming and any one of the following: • Embedded Linux e.g. Yocto or Buildroot build system, • Python, • Android build system, • Networking and communication protocols, • Embedded OS use, • Power optimisation, • Makefiles / build configuration systems, • Basic soldering, • Unit testing 36 hours of full time effort are expected every week. Remote working is offered, although 2 days per week on site are required. Flexitime is offered as standard, although all hours must be accountable. 25 days' vacation are offered, growing with tenure. Job Types: Full-time, Permanent Pay: £55,000.00 per year Benefits: • Flexitime, • Sick pay, • Work from home Schedule: • 8 hour shift, • Flexitime, • Overtime Education: • Diploma of Higher Education (preferred) Experience: • C Programming: 1 year (preferred), • Software engineering: 1 year (required) Work authorisation: • United Kingdom (required) Work Location: Hybrid remote in London SE1 with 2 days per week on site near London Bridge.

Our client is seeking an experienced Audio Visual Project Manager to join their team. You will be responsible for the coordination of new and existing client projects whilst working closely with the engineering teams. Create and maintain clear, high-quality technical and project documentation throug

Title: Co-Founder / Fractional Chief Technology Officer Location: Remote (UK / EU only) Salary: Equity only (to start) - with vesting period Platform: AI-Native Talent Intelligence Platform Stage: Early product (working demo MVP) with live AWS infrastructure and AI workflows in place The Role We are recruiting for our sister business 'hdhnt', this is an AI-native Talent Acquisition platform designed around deep candidate analysis, structured evaluation, and intelligent matching. Our mission is to build a tool which allows hiring companies to successfully source candidates directly, and alleviate the need for external recruitment agencies. The technical foundations already exist: cloud infrastructure, LLM pipelines, scoring logic, and multi-tenant architecture, these have been built through use of contractors to date. We are looking for a hands-on Technical Co-Founder / CTO to take full ownership of the platform’s technical direction, architecture, and execution as we scale from early product to category-defining system. Core Responsibilities • Own the end-to-end technical architecture across backend, AI systems, data, and infrastructure, • Lead development of AI-driven scoring, ranking, and decision systems, • Design and evolve advanced search and retrieval systems beyond keyword matching, • Build and scale API-first, multi-tenant backend services, • Lead development of video, voice, and interview analysis tooling within the platform, • Drive the transition from third-party LLM usage toward custom and fine-tuned models, • Ensure platform security, data protection, and GDPR-aligned system design, • Establish engineering standards, CI/CD workflows, and operational best practices, • Act as technical counterpart to product, commercial, and investor conversations, • Manage technical / dev responsibility for any contractor arrangements in place. Technical Requirements Backend & APIs • Strong experience designing REST and/or GraphQL APIs for production SaaS platforms, • Advanced proficiency in Python (FastAPI) and/or Node.js (TypeScript / NestJS), • Deep understanding of multi-tenant system design, permissions, and role-based workflows, • Event-driven architectures using webhooks, queues, and async processing AI, Search & Data Systems • Hands-on experience integrating LLM APIs (OpenAI-compatible or equivalent), • Design and implementation of scoring, ranking, and weighted evaluation systems, • Experience with vector search, embeddings, and semantic retrieval, • Practical use of RAG architectures, prompt pipelines, and structured outputs, • Strong understanding of model evaluation, explainability, and output validation Model Development • Experience with fine-tuning or training models (open-source or proprietary), • Understanding of model lifecycle management, data pipelines, and inference optimisation, • Familiarity with moving from API-based LLMs to self-hosted or private models Video, Voice & Media Processing • Experience working with video, audio, or real-time communication systems, • Familiarity with speech-to-text, audio processing, or conversational AI pipelines, • Comfort designing systems that support AI analysis of recorded interactions Cloud & Infrastructure • Strong experience with AWS-based SaaS platforms, including:, • ECS Fargate, • Application Load Balancers, • IAM, KMS, Secrets Manager, • CloudWatch logging and alerting, • Infrastructure-as-Code using Terraform, • Secure, scalable deployment and environment management, • CI/CD pipelines, automated testing, and release workflows Experience & Profile • Senior-level engineer or technical founder with end-to-end ownership experience, • Proven track record building or scaling production SaaS platforms, • Comfortable operating across architecture, hands-on coding, and strategic decisions, • Strong product intuition with an ability to translate abstract requirements into systems, • Experience working in early-stage or high-ownership environments, • Clear communicator capable of partnering closely with a non-technical founder Nice to Have • Prior experience as a founder, early CTO, or lead architect, • Background in search, recommendation systems, or decision engines, • Experience with regulated or sensitive data environments, • Familiarity with recruitment, HR tech, or workflow-driven SaaS platforms, • Experience building internal admin tools and operational dashboards There will be a multi-stage interview process including theoretical case study and technical assessment. If you would like to find out more, please apply below. We encourage candidates from all backgrounds to apply, regardless of; race, gender identity, sexual orientation, religious beliefs, age or other experiences.

Manage audio datasets: Prepare and work with large audio datasets to support the training and. Trends: Keep abreast of the latest advancements in audio engineering and AI to continually enhance ourprocesses. Proven experience as an audio engineer, with a focus on voice work and vocal processing.

This role offers a competitive salary and opportunity for growth within the organization. A technology solutions company in London is seeking an experienced A / V Design Engineering Team Lead. The ideal candidate has extensive experience in audio-visual design engineering and strong leadership skill

We are looking for two highly experienced Product Managers with strong software engineering backgrounds to join a successful audio AI software company as they enter a new stage of growth. You will translate product and design requirements into formal plans, align with product roadmapping, and alloca

A leading live events company is looking for a Live Audio Engineer to deliver high-quality audio for live events in Hertfordshire.Responsibilities include mixing live shows, managing RF systems, and collaborating with project teams.Candidates should have strong experience in audio engineering, be de