Research

Best-in-class AI research recruitment in the UK, Ireland, Germany, Switzerland, and the US

Researchers are currently some of the most sought-after candidates, with demand rising across the full spectrum of AI development. The advent of increasingly powerful robotics, Multimodal systems, LLMs, and advanced simulation models has led to a surge in R&D funding across industry and academia.

From machine learning in drug discovery to synthetic data generation, DeepRec.ai specialises in connecting innovators with research talent from around the world.

Whether you’re building out a research function or exploring your next career step as a researcher, our consultants understand the complexity of the space, and we’re here to help.

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The Impact of AI Research

From the spark of an idea to an era-defining technology, today’s AI researchers are redefining what’s possible.

Whether that’s building hybrid LLMs to help cure novel diseases, writing the next groundbreaking paper on synthesised audio, or prototyping disaster prediction models, AI research is home to the most exciting jobs in deep tech.

AI Research Goes Global

As innovators around the world compete to push the boundaries of tech, AI research jobs in NLP, LLM, machine learning, quantum computing, and robotics are in growing demand, and top companies are actively hiring AI researchers in these fields.

This market movement isn’t limited to tech-native companies either. Given AI’s transformative potential, you can now find a host of great rewarding opportunities in high-impact sectors, including healthcare, financial services, aerospace, and the life sciences.

At DeepRec.ai, we’re proud to partner with the world’s premier AI companies, and we’re here to search further afield and connect them with the people they need to power progress.

Our specialised consultants have the global talent network and localised market expertise to find the ideal career match for today’s researchers.

Contact our consultants to learn more about our tailored approach to AI research recruitment in the UK, Ireland, Germany, Switzerland, and the US. Our staffing services cover key AI hubs, including London, Dublin, Berlin, Zurich, and San Francisco.

Why Choose DeepRec.ai for Research Recruitment?

When you partner with DeepRec.ai, you get a dedicated talent partner with:

A best-in-class network, built by our community.
A fully tech-enabled service, with a custom-built CMS, integrated automation, and a real-time feedback platform to track NPS (net promoter score).
An expert delivery team with a deep technical understanding of the market
The reach and market specialisms of our three sister brands, Broadgate, Trust in SODA, and Trinnovo Consulting.
Award-winning recruitment support and career guidance

RESEARCH CONSULTANTS

Meet Anthony

Anthony Kelly

Co-Founder & MD EU/UK

Meet Hayley

Hayley Killengrey

Co-Founder & MD USA

Meet Nathan

Nathan Wills

Senior Consultant | Switzerland

LATEST JOBS

Munich, Bayern, Germany

Applied AI Research Engineer

Permanent€80000 - €110000 per annum

Applied AI Research Engineer – Intelligent Robotics Location: Remote, EU (within CET ±3 hours) Employment Type: Full-time Department: Engineering About the Opportunity We’re partnering with an innovative robotics company on a mission to redefine intelligent automation in manufacturing. This organisation is building next-generation robotic systems that combine cutting-edge AI with flexible hardware to create smarter, more adaptive automation solutions for real-world production environments. As an Applied AI Research Engineer, you’ll contribute directly to developing advanced AI systems for robotics — transforming the latest academic and industry research into deployable, real-world solutions. This is a hands-on research and development role at the intersection of AI, robotics, and embodied intelligence. What You’ll DoConduct R&D in areas such as:Foundational Models (LLMs, VLMs, VLAs): Apply multimodal and large language models to robotic decision-making.Reinforcement Learning: Design and implement control strategies for robotic manipulation and task execution.Sim2Real Transfer: Leverage synthetic data and simulation tools to enable robust model deployment in real environments.Collaborate with cross-functional engineering teams to bring research concepts to production-ready applications.Stay at the forefront of the latest advancements in AI and help shape how intelligent automation evolves in manufacturing.About YouStrong background in machine learning, deep learning, computer vision, or algorithmic development.Hands-on experience applying research to real-world use cases.Solid understanding of LLMs, VLMs, and reinforcement learning (on/off-policy, actor-critic, model-based).Proficiency in Python and experience with frameworks such as PyTorch, TensorFlow, or Hugging Face.Comfortable working in Linux environments with tools like Docker, Git, and Conda.Familiarity with cloud platforms (AWS, Azure, or GCP).Excellent analytical and problem-solving abilities, with a structured and creative mindset.Strong communicator who can clearly express complex concepts and research insights.Nice to HaveExperience with robotics systems (e.g. ROS/ROS2, Behaviour Trees)Exposure to agentic AI or multimodal AI researchWhy ApplyJoin a company pioneering AI-driven robotics with a mission to make automation accessible and efficient across industries.Work alongside an expert team at the forefront of intelligent systems development.Enjoy a flexible, remote-first culture with competitive compensation and opportunities for growth and innovation.

Paddy Hobson

Posted about 1 hour ago

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Greater London, South East, England

Lead Speech Research Scientist (ASR/TTS)

Permanent

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.

Jonathan Harrold

Posted 2 days ago

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Spain

LLM Engineer (Mid-Senior)

Permanent€65000 - €80000 per annum, Benefits: Competitive Salary, Bonuses, Relocation & Visa Support

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

Jonathan Harrold

Posted 8 days ago

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Connecticut, United States

Senior Deep Learning Scientist

Permanent$160000 - $250000 per annum

Senior Deep Learning Scientist $160,000 - $250,000 (DOE) Onsite – New Haven, Connecticut A cutting-edge biotech startup is seeking a Senior Deep Learning Scientist to join their team. This innovative company is pioneering a first-of-its-kind platform to conduct preclinical studies, aiming to revolutionize the understanding and treatment of neurological diseases.As a Senior Deep Learning Scientist, you will play a pivotal role in designing and implementing AI models that integrate complex biological signals. You'll be at the forefront of pioneering work in areas such as generative graph representation learning, contributing to the development of novel AI architectures tailored to the intricacies of human brain biology.Key Responsibilities:Design, develop, and deploy state-of-the-art deep learning models for analyzing multi-modal biological data.Develop deep learning architectures incorporating biological inductive biases, and explore generative graph representation learning to uncover novel patterns in brain data.Work closely with bioinformatics, experimental biology, and engineering teams to integrate multi-modal datasets into cohesive AI frameworks.Optimize deep learning pipelines for petabyte-scale datasets and ensure models are scalable on high-performance computing infrastructures.Publish research findings and present at scientific conferences to contribute to the broader AI and biomedical communities. Requirements:PhD or Post-doc in Computer Science, Machine Learning, or a related STEM field with a strong demonstrated track record of applying deep learning to biological problems.The ability to translate conceptual research frameworks into deployable architectures.Comfort working across research and applied implementation.Proven experience with GNNs. Experience with generative graph representation learning is a significant plus.Expertise in PyTorch with the ability to build and deploy scalable models.Familiarity with developing production-quality pipelines, cloud computing, and model deployment best practices.Demonstrated ability to research and implement novel deep learning architectures tailored to complex STEM datasets.Experience with high-performance computing (HPC) environments or distributed training techniques for large-scale GNN models. Apply now or reach out to Ben at benjamin@deeprec.ai to learn more!

Benjamin Reavill

Posted about 1 month ago

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