Jonathan Harrold

Lead Speech Research Scientist (ASR/TTS) London preferred | Remote considered | Visa sponsorship availableWe’re collaborating with a growing AI company developing advanced conversational technologies that power intelligent voice and chat systems for global enterprises. This is a senior research and leadership role for someone with deep expertise in ASR, TTS, and related speech–language technologies. You’ll head a high-impact research group, working directly with company leadership to define research priorities, guide technical direction, and translate innovations into production.Key Responsibilities:Lead applied research and development in speech recognition, speech synthesis, and conversational AI.Define the research roadmap and ensure alignment with strategic and product goals.Mentor and grow a team of researchers, fostering collaboration and innovation.Translate real-world product challenges into clear research objectives and milestones.Oversee data strategy, evaluation metrics, and system performance.Collaborate closely with product and engineering teams to deploy research outcomes.Represent the team externally through papers, conferences, and community engagement.What We’re Looking ForPhD (preferred) or Master’s in Speech Technology, Computer Science, or related field.Proven expertise in Automatic Speech Recognition (ASR) and/or Text-to-Speech (TTS).3+ years of applied research experience in speech or language AI (industry or academic).2+ years leading or mentoring research teams or projects.Strong programming skills in Python, with deep learning experience using PyTorch.Practical experience taking models from research to production environments.Bonus SkillsExperience with multilingual or low-resource speech systems.Familiarity with LLM integration into conversational pipelines.Strong engineering foundations (Git, Docker, CI/CD).Publications in major speech or AI conferences (e.g., Interspeech, ICASSP, NeurIPS).This is a key hire in a company entering an exciting growth phase — an opportunity to shape the future of speech and conversational AI while leading a talented, expanding research team.

LLM Engineer (Mid-Senior)Location: SpainSalary: €65k-€80k base + bonuses + relocation packageAbout the Company:A rapidly growing deep-tech firm creating advanced AI solutions that enhance efficiency and performance across sectors such as finance, energy, and manufacturing. Our diverse, international team thrives on collaboration and innovation. Role Overview: We are looking for an LLM Engineer to develop, refine, and deploy large language models. You will work on state-of-the-art AI projects, integrating models into products and solving complex, practical challenges.Key Responsibilities:Design and implement techniques to make LLMs more efficient, scalable, and effective.Conduct thorough evaluations and optimizations to improve model accuracy, speed, and reliability.Identify opportunities for innovation and propose creative solutions.Maintain clear documentation of experiments and outcomes; support and mentor junior engineers.Keep up to date with advances in LLM research and emerging AI technologies.Required Qualifications:Master’s or Ph.D. in AI, Computer Science, Data Science, or related field.Mid: 2+ years hands-on experience with transformer models; Senior: 5+ years including other deep learning architectures.Strong Python programming skills and experience with PyTorch, HuggingFace, and cloud/deployment tools.Solid understanding of deep learning concepts, model training, and GPU performance optimization.Excellent communication skills; fluent in English.Preferred Qualifications:Experience delivering AI solutions in industry.Spanish language skills and familiarity with large-scale cloud/HPC environments.Experience evaluating LLMs, building RAG systems, or working on other AI applications (CV, audio, signal processing).Awareness of AI ethics and best practices; DevOps/MLOps experience a plus.Perks & Benefits:Permanent contract with performance bonus and signing bonusPrivate health coverage, relocation and visa support if neededFlexible hours, hybrid work, educational budget, language classesCareer growth opportunities and collaborative work culture