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We're partnering with a globally recognised British audio engineering brand to appoint a Software Engineer (DSP) into its Research & Development team. \n This is a rare opportunity to develop embedded firmware running on Analog Devices SHARC DSP processors at the heart of premium streaming audio systems. Candidates with experience of other DSP platforms will also be considered. \n The role \n Working closely with acoustics, electronics and firmware engineers, you'll be involved from early concept through to product release, developing software that directly influences the performance and sound quality of world-class audio products. \n Your responsibilities will include: \n\n • Developing real-time embedded software in C for DSP-based applications\n, • Developing and prototyping DSP algorithms, sometimes using MATLAB, before implementing them in C\n, • Building and optimising audio signal processing pipelines\n, • Writing low-level drivers for DSP and board-level peripherals\n, • Bringing up DSP and digital audio circuitry on early prototype hardware using oscilloscopes, logic analysers and audio test equipment\n, • Working with hardware engineers to integrate and debug new designs\n, • Contributing to software architecture, processor interfaces, code reviews and technical documentation\n\n This is a genuinely hands-on engineering role, ideal for someone who enjoys working close to the hardware and seeing their software become part of a commercial product. \n What they're looking for \n\n • Strong commercial C/C++ experience\n, • Experience developing software for DSP processors, or a strong understanding of DSP techniques such as filtering, FFTs, sample rate conversion and dynamic range control\n, • Experience developing firmware for commercial electronic products\n, • Strong real-time embedded systems background\n, • Experience bringing up and debugging embedded hardware\n, • Familiarity with Git, Jira and Agile development\n, • Degree in Electronic Engineering, Computer Science or a related discipline\n\n Experience with Analog Devices SHARC or other DSP architectures would be highly advantageous. Audio DSP experience is desirable, and a genuine interest in music or audio technology is essential. \n Why join? \n You'll become part of an engineering-led organisation with an outstanding reputation for innovation, craftsmanship and audio performance. \n Working alongside highly experienced engineers, you'll help develop the next generation of premium audio products, solving complex technical challenges where software, electronics and acoustics come together. \n If you're passionate about embedded systems and want your work to have a real impact on how people experience music, this is an exceptional opportunity.

Field Service Engineer, Medical Diagnostic Systems Basic Salary £52,000 Car Allowance £7,200 Bonus £6,000 Pension Income Protection Life Insurance Private Healthcare 25 Days Holiday Plus Bank Holidays Full Product Training This role will involve working five days out of seven and will include some weekend work The Role - Field Service Engineer, Medical Diagnostic Systems Following expansion, they seek to recruit a technically motivated and customer focused Field Service Engineer responsible for: The service and breakdown repair on a wide range of sophisticated medical and laboratory diagnostics systems utilised within pathology departments, NHS laboratories and clinical chemistry environments Visiting customer sites and providing customers with valuable solutions for troubleshooting Liaising with a whole host of external customer contacts, including laboratory managers and laboratory technicians from within the NHS and a range of private independent scientific organisations and laboratories Your Background - Field Service Engineer, Medical Diagnostic Systems To succeed in this exciting role, you must be able to demonstrate: A competent background as a field service engineer or technical support engineer with extensive experience working on high value capital equipment and a qualification in electronics You may have experience of working on diagnostic systems, medical devices, laboratory systems, scientific equipment, pharmaceutical, semiconductor, pre-press, printing or high value electronic / electro-mechanical capital equipment Full product training will be provided, so whatever your background in field service and customer support, your application will be considered The Company - Field Service Engineer, Medical Diagnostic Systems My client is part of one of the largest medical and laboratory equipment suppliers in the world This instantly recognisable brand leader supplies a wide range of innovative diagnostic based laboratory systems to the healthcare sector and offers 'best in class' solutions across their range of products and systems Supported by a truly multi-national 'blue-chip' technology group, their commitment to investment in research and development is second to none in their industry, ensuring that they remain a market leader At the core of their business lie product innovation, excellent customer service and good people This vacancy is being advertised by TRS Consulting. The services advertised by TRS Consulting are those of an employment agency and / or employment business

Mistral, a leader in full-stack AI solutions, seeks a Research Engineer – ML track to build scalable learning systems powering open-weight models. You will work with Research Scientists to move prototypes toward production-grade components and integrate with our enterprise API.

As a Lead Software Engineer at JPMorgan Chase within the Software Engineering Group, we look first and foremost for people who are passionate around solving business problems through innovation and engineering practices. BS or MSc degree in Computer Science, Electrical/Computer Engineering, Physics,

You will bridge cutting-edge AI research with software engineering to design, build and deploy intelligent systems powering trading and research workflows. KDR Talent Solutions UK is partnering with a top-tier technology business to hire a Senior AI Research Engineer. You will turn research concepts

Blankstate, a London-based AI infrastructure company, seeks a Lead Machine Learning Engineer to bridge deep research with our production ecosystem. You will own the seam between research findings and engineering implementation, translating experiments into scalable systems while mentoring others.

Anthropic is seeking a Research Engineer specializing in Reinforcement Learning to advance large language model capabilities. This role involves collaborative research and engineering, focused on optimizing core reinforcement learning infrastructure and driving performance through novel methodologie

From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Security is foundational to this mission and must be delivered in a way that supports how our engineering teams bui

You would run the seam directly: translating research findings into engineering work, regressions into research questions, and production observations back into experimental probes accompanied with our different units. Full access to Blankstate's research compute. A direct line to the cofounder, the

Alongside this specialist focus, you will contribute as a well-rounded Security Engineer, applying software engineering, automation and platform thinking to solve a broad range of security challenges. Working closely with SOC, CSIRT, Detection Engineering, Platform Engineering and Cloud teams, you w

As a Research Engineer within Reinforcement Learning, you will collaborate with researchers and engineers to advance the capabilities and safety of large language models. The role blends research and engineering: implement novel approaches while contributing to research direction. Collaborate with r

You will design and implement techniques that improve performance and capabilities of research workloads on cutting-edge compute infrastructure, ensuring our researchers and engineers can make the best use of current and future systems. From our London HQ, we unite world-class researchers and engine

About the Research Engineering Team. Engineers can move along the research-to-production spectrum as needs or interests evolve. As a Research Engineer – ML track, you’ll build and optimise the large-scale learning systems that power our open-weight models.

G-Research in London is seeking a Security Data and Platform Engineer to combine security engineering with deep knowledge of security data pipelines and Elastic Security, ensuring telemetry across cloud, hybrid and corporate environments remains reliable and cost‑effective. You will own onboarding

Machine Learning Research Engineers. Working alongside world-class AI researchers, engineers and scientists to deploy models into a real-world autonomous experimentation platform. Scientific computing or research engineering backgrounds.

G-Research in London seeks an exceptional ML Performance Engineer to optimise large-scale workloads across GPU and CPU infrastructure. You will profile and tune training and inference jobs, develop reference implementations, and collaborate with research and platform teams to evolve the compute stac

You will also build and optimize the research and compute infrastructure that supports scalable model development and production use.

G-Research in London is looking for a Security Engineer to embed within delivery teams, learn unfamiliar codebases quickly and design robust fixes in production systems. You will own security work from investigation through delivery, write production-quality code and collaborate with senior engineer

You’ll join a team working on cutting-edge research across LLMs, reinforcement learning and agentic systems, blending rigorous research with strong software engineering. Oliver Bernard partners with a stealth-mode AI start-up in London, seeking a Senior AI Engineer. The role focuses on building AI

Scale AI in the United Kingdom is hiring ML Research Engineers to bridge emerging AI capabilities with mission-critical, real-world impact. You will lead research into Agent Design, Reliability, and AI Safety, building scalable, production-ready systems that operate at scale.

London seeks a Lead Software Engineer to join a high-performance team transforming portfolio construction and quant research technology. You will apply deep software engineering expertise across the lifecycle, mentor teammates, and keep stakeholders informed on progress in a culture that values expe

Anthropic is seeking a Research Engineer, Machine Learning (RL Velocity) in London to own and improve the RL training infrastructure used by researchers day-to-day. Collaborating with researchers and adjacent engineering groups (inference, sandboxing, and tooling), you will diagnose bottlenecks, imp

G-Research is seeking an exceptional NLP Performance Engineer to own large-scale LLM inference performance within our NLP Engineering team at the London HQ. You will profile, optimise and implement techniques to maximise inference throughput and cost-efficiency, collaborating with researchers and in

As a Research Engineer on the team, you'll build and improve the core platform that underpins how we do RL at Anthropic, removing bottlenecks that slow down research and making it easier for the broader org to ship better models faster. Research Engineer, Machine Learning (RL Velocity). The easiest

Generative in the United Kingdom seeks exceptional Machine Learning Research Engineers to build the infrastructure powering an autonomous AI platform for materials discovery. You will work with world-class researchers to design scalable ML systems and translate cutting-edge research into robust soft

Recraft, based in London, is seeking experienced Research Engineers to develop and optimise AI models and push the boundaries of generative AI. We value excellence, experimentation, and impactful research that shapes creative workflows.

You will bridge advanced AI research and software engineering to build production-ready AI systems powering trading research workflows. KDR Recruitment USA is partnering with a leading technology business to hire a Senior AI Research Engineer in a hybrid London setup. You will own meaningful product

As Principal Research Engineer you will take on the role of Work Stream Lead (technical programme manager) for Subtractive Technology (Machining). A relevant, accredited engineering degree. Chartered Engineer with a relevant institution.

R&D Engineer needed to take concept designs to production using 3D modeling and producing technical drawings.

Good understanding of software engineering concepts, particularly with machine learning development.

R&D Engineer needed to take concept designs to production using 3D modeling, produce technical drawings, and develop products, with experience in the oil & gas industry.

Conducts cyber security research, exploring threats and vulnerabilities, designing and prototyping solutions, and collaborating with teams to transition research into deployable capabilities.

R&D Engineer sought for automation and robotics systems development, with focus on machine vision algorithms and project leadership.

Cyber security research engineer exploring threats and vulnerabilities, designing solutions, and collaborating with teams to develop deployable capabilities in a sensitive environment.

Develops and tests machine vision algorithms using Python, TensorFlow, and OpenCV for automation and robotics systems.

Builds engineering stack required for Data and AIML products, including data engineering, backend engineering, Cloud infra DevOps and MLOps. As a Senior Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank's Markets Research Technology team, you serve as a seasoned member

This 6-month hybrid contract requires close collaboration with product, marketing, engineering, business development, compliance, and member support to own existing BAU processes end to end with reliability under tight deadlines.

You will collaborate closely with Data Engineers, Analytics Engineers, Data Scientists and business stakeholders to deliver innovative solutions that leverage SEGA's enterprise data platform. Develop AI governance, prompt engineering standards and evaluation frameworks to support secure and responsi

You will work in highly interdisciplinary teams where biology, computation, and engineering come together to solve complex problems that have not been solved before. You'll be joining a team with access to cutting-edge multiomic and interventional datasets, advanced computational infrastructure, and

You will work with cutting-edge technologies, including Large Language Models (LLMs), prompt engineering, fine-tuning, embeddings, and Retrieval-Augmented Generation (RAG), to deliver scalable, enterprise-grade AI applications. Collaborate with Data Engineering, MLOps, and Product teams to develop a

Lead squads across data science and engineering.

Elsevier’s mission is to help researchers, clinicians, and life sciences professionals advance discovery and improve health outcomes through trusted content, data, and analytics. Collaborate with domain experts, ontology engineers, and biomedical informaticians to integrate scientific taxonomies,

Collaborate with cross functional teams that comprise product managers, engineers and business leaders. Experience with building Generative AI Solutions (Prompt engineering, designing and building RAG frameworks, validation pipelines, observability and monitoring solutions).

Translate complex multilingual data insights into compelling narratives for product, engineering, and executive audiences; influence roadmap prioritization through data. Lead and mentor data scientists and engineers, fostering technical excellence and a culture of continuous learning.

Collaborate with data scientists, analysts, and engineers to operationalise causal insights and embed them into decision‑making processes. Experience applying causal inference techniques in a commercial, product, marketing, or research environment.

ARQ is seeking a Senior Data Scientist to join its Growth team as the first data science hire, owning all data science initiatives across Growth and Marketing.You’ll start with predicting customer lifetime value across markets and channels and report to the Head of Growth and COO.You will develop,