Research ScientistLondon £40,000 - £60,000 (depending on experience) Using your scientific skills to create the next generation of delicious and healthy products. Here you’ll be joining a successful new innovation-led food business with science and technology at its heart. Its mission is to transform much-loved favourite food items, creating the next generation of healthier products that do not compromise on taste. Using a scientific approach and the latest technologies, you’ll be devising experiments and analysing data to constantly evolve and improve the product range. You’ll be working closely with the CEO and NPD Manager to plan the strategy, execute plans and review results. It’s a varied role that involves managing experiments in the lab, studying research papers, running production trials, and analysing results. The role requires a strong academic background with a degree in science and industry experience gained in a research role. In a short time, this business has developed a successful product range supplied into the major retailers and is delivering consistent growth. You’ll be part of the team further developing the portfolio of products, delivering first to market healthier new concepts for consumers. You’ll have the opportunity to make a real impact, creating products that are better for people and the planet. This role is London based with some travel. It is a full-time permanent position that is predominantly site-based although there is some flexibility around project needs. You’ll need the permanent right to work in the UK as visa sponsorship is not available. Want to know more? Click apply to send over your CV or get in touch, with Rachel, for further details. REF. RLP47618a

???? Join Us in Pioneering the Future of Generative AI for Speech and Audio! ????️ Are you ready to be at the forefront of groundbreaking technology in generative AI? Our early-stage start-up seeks a talented and ambitious Research Scientist to join our dynamic team. If you are passionate about pushing the boundaries of what's possible in speech and audio synthesis, this is the opportunity for you! About Us: We are a cutting-edge start-up focused on harnessing the power of generative AI to revolutionize how we interact with speech and audio. Our founders are industry experts and visionaries dedicated to pushing the limits of technology and innovation in speech synthesis. Position: Founding Research Scientist - Generative Speech and Audio Location: London Responsibilities:<ul><li>Lead the development of state-of-the-art generative models for speech and audio synthesis, including but not limited to diffusion models, variational autoencoders (VAEs), and generative adversarial networks (GANs).</li><li>Design and implement novel architectures and algorithms tailored specifically for speech and audio tasks.</li><li>Collaborate closely with cross-functional teams to integrate generative models into text-to-speech (TTS) and speech-to-speech (STS) applications.</li><li>Stay current with the latest advancements in generative AI research and contribute insights to drive innovation within the company.</li></ul> Requirements:<ul><li>Advanced degree (Ph.D. preferred) in Computer Science, Electrical Engineering, or related field with a focus on machine learning, deep learning, or artificial intelligence.</li><li>Proven experience in training generative models, ideally in speech or audio synthesis.</li><li>Expertise in generative AI models such as diffusion, VAEs or GANs.</li><li>Solid understanding of signal processing techniques relevant to speech and audio processing.</li><li>Excellent communication skills and ability to work collaboratively in a fast-paced, startup environment.</li></ul>

Machine Learning Researcher(London – visit the office 3 days a week) Xcede are delighted to be working with one of the most important ML Research Labs in the UK. The innovation hub sits within one of the world’s largest tech & manufacturing brandsThe team are working on prototypes & proof-of-concept projects to be taken to important senior internal stakeholders and ultimately be embedded in the company’s core operations and services (or released as separate Products). Responsibilities<ul><li>Alongside experienced Researcher, work on prototypes that will ultimately make a huge impact.</li><li>Explaining these ideas of stakeholders</li><li>Helping to definite the future direction of Innovation within this global brand.</li></ul> Requirements<ul><li>Strong academic background in a relevant field (Statistics, Computer Science, etc.) – PhD background strongly preferred (alongside further post-doc research)</li><li>Excellent knowledge in a range of statistical, machine learning, and deep learning-based methodologies (classification, regression, etc. through to RNNs, signal processing, etc.)</li><li>Ability to communicate complicated and often hugely technical subjects simply to stakeholders in an effective way.</li></ul> If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).

InstaDeep is looking for an Applied Research Scientist to join our expanding team. Applied Research Scientists at InstaDeep develop algorithms and data pipelines focused mainly, but not exclusively, on physics-based methods. As part of the BioAI team, you will be contributing to the development of new approaches in molecular modelling, protein interactions, protein design and other related domains by applying your technical, analytical, and research skills. You will understand the underlying biology and engineering problems and follow the latest developments in machine learning and classical modelling algorithms to identify and harness the right technologies to solve the problems, improve the existing solutions and deploy them. You will collaborate with a multi-functional team, experiment with different approaches, analyse and communicate the results in order to deliver proof of concepts and ensure continuous improvement and maintenance for industrialised solutions.Keywords: Computational molecular Physics, Structural Biology, Computational Chemistry, Protein Interactions, Protein Design, Molecular Dynamics, Monte Carlo, Enhanced Sampling, Machine Learning, Deep Learning, Statistics, Data Science Responsibilities<ul><li>Design, implement and deliver complex pieces of research in the area of computational molecular physics/biology.</li><li>Implement and test pioneering enhanced sampling methods and free energy calculation techniques that leverage and supplement machine learning approaches.</li><li>Communicate and collaborate with research engineers in a multi-functional team to integrate simulation-based solutions into drug discovery platforms and ensure they are robust, maintainable and easily used by scientists</li><li>Report results clearly and efficiently, both internally and externally, verbally and in writing.</li><li>Understand and follow the latest biology/biophysics and machine learning developments for relevant applications.</li><li>Write maintainable and modular code together with concise documentation.</li></ul> Required Skills<ul><li>Master, PhD degree or equivalent experience in Biophysics, Chemistry, Biochemistry, Computational Chemistry/Biology or any related scientific field.</li><li>A proven track record of methods development/deployment for molecular simulations and/or Computational Chemistry/Biology</li><li>Good software engineering experience (Python, Docker, Linux, Git).</li><li>Experience with protein structure modelling and/or simulation.</li><li>Excellent communication skills in English.</li><li>Appropriate work permit for the considered location.</li></ul> Nice to have<ul><li>Experience with quantum mechanics software and methods.</li><li>Experience running jobs on cloud-based infrastructure at scale</li><li>Familiarity with in-silico drug discovery pipelines</li><li>A real passion for delivering computational solutions for complex biological problems</li></ul> Benefits<ul><li>Competitive compensation package.</li><li>Working in small, diverse teams where you can make an impact.</li><li>Varied challenges across industries.</li><li>Cooperation across European, US, and African offices.</li><li>Annual offsite events.</li></ul> Our commitment to our peopleWe empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of life, and we’re proud to continue encouraging and supporting applicants from underrepresented groups across the globe. Our commitment to creating an authentic environment comes from our ability to learn and grow from our diversity, and how better to experience this than by joining our team? We operate on a hybrid work model with guidance to work at the office at least 2 to 3 days per week to encourage close collaboration and innovation. We are continuing to review the situation with the well-being of InstaDeepers at the forefront of our minds. Right to work: Please note that you will require the legal right to work in the location you are applying for.

Senior Research Scientist - Optimization | London (Hybrid) | £60,000 - £80,000 | ???? Renewable Energy ????Peaple Talent have partnered exclusively with an award winning Renewable Energy business, who specialise in smart hydrogen-energy storage solutions for a net-zero emissions future.This is a fantastic opportunity to join a fast-growing team who are dedicated to solving technical problems with the goal to provide clean and reliable power from renewable sources and help counter climate change with technology.Due to exciting growth plans, we are looking for a talented Research Scientist, with expertise in mathematical optimization and machine learning, to further improve models.The Role:<ul><li>Design, implement and evaluate mathematical optimization and machine learning models for energy systems applications</li><li>Mentor and train team members to accelerate their professional development and enhance team productivity</li><li>Write clear, well-documented and efficient code</li></ul>The ideal candidate for this role will have relevant experience with the following:<ul><li>Masters or PhD in Research, Computer Science or related field</li><li>3+ years of experience in a technical, research-focused role (Ideally in Renewable Energy)</li><li>Linear and mixed-integer programming experience</li><li>Practical experience implementing supervised learning models, in particular time series forecasting</li><li>Strong programming abilities in Python</li><li>Prior experience to leading small teams</li></ul>Does that sound like you? If so, we’d love to see your CV.The Package:????£70,000-£80,000????London (hybrid) 3 times a week onsite⭐Annual allowance of £200????25 days holiday + Bank Holidays????Healthcare Cash Plan????Annual salary reviews and defined career roadmap????Training and Development Opportunities (internal & external)????Company Pension Scheme (8% total)

Location: London / Hybrid (two days a week in the office)Role: Principal Research ScientistSalary: £70,000 + £100,000 NeuralRec has partnered with a cutting-edge research lab across Deep Learning and Generative AI, which is currently solving impactful problems within healthcare within biotechnology. This is an opportunity to join a rapidly growing scale-up, which has multiple offices worldwide and has an already prestigious reputation; publishing at several top-tier conferences every year. You will be able to contribute significantly to this research. As a Research Scientist, you will also work alongside some of the brightest researchers within Deep Learning & Biotechnology who come from leading big-tech and bio companies, collaborating on a truly global scale. The business has invested in the latest compute and financially is secure, receiving massive investment over the last couple of years. You will see your research has direct real-world applications for social good, that have already impacted millions of lives. Responsibilities & Requirements<ul><li>Building start-of-the-art deep learning models, specifically in NLP is advantageous</li><li>Write high-quality code</li><li>Demonstrate previous work within deep learning from both an industry or academic background, a PhD is desirable</li><li>Bio experience is desirable</li></ul> Benefits<ul><li>National health insurance coverage</li><li>A performance bonus-based</li><li>Training: A personal training and development budget</li><li>Fast track progression for exceptional engineers /researcher</li><li>Work on impactful deep-learning problems that haven't been solved</li></ul> If you’re looking to explore your next deep learning role from either an industry or academic background, please apply directly. Follow @NeuralRec for more positions in AI, AI Podcasts and Market Insights. We’re proud to partner with some of the globe's most innovative AI businesses using AI to solve real-world problems. Whilst we do our best to get back to everyone, this is not always possible due to the volume of applications. Please do apply for any future roles that are relevant to you. Unfortunately, we cannot sponsor for this position.

Research Scientist - Synthetic Biology - Computational Biologist - Biology - Machine Learning - AI Models - Protein Biology - Python - London - Hybrid DS Group are looking for a Research Scientist to join an innovative company in the intersection of AI and biology. This company is focused on developing generative AI models for synthetic biology, with the goal of revolutionising the way biology is controlled and diseases are cured.Founded by an impressive team of Researchers from Google DeepMind and backed by significant venture funding from US & UK VCs, this company is driven by a relentless curiosity and a strong desire to make a maximum positive impact on the world.This role will include leading evaluations of AI models, collaborating with interdisciplinary teams, and continuously improving model performance.Key Responsibilities:<ul><li>Design evaluation strategies and benchmarks to continuously evaluate the performance progress of models.</li><li>Lead deep-dives on select biological and therapeutic applications.</li><li>Compare generative models against external technologies.</li><li>Closely collaborate with machine learners, protein designers, and biologists to ensure the technical and biological relevance of model evaluations.</li><li>Leverage your analytical results to guide model performance improvements.</li><li>Implement and test ideas for model improvements.</li><li>Stay on top of the latest developments in ML.</li><li>Gain a strong working understanding of protein and cell biology.</li><li>Attend and present at conferences when relevant.</li></ul>Requirements: <ul><li>Strong scientific programming skills.</li><li>Have a PHD computational biology or related fields.</li><li>Experienced in molecular data analysis.</li><li>Robust software development skills.</li><li>Track record of delivering successful research projects.</li><li>Mission-driven and curious mindset.</li><li>Ability to excel in a fast-paced environment.</li></ul>What they offer: They offer strongly competitive compensation and benefits packages (Salary up to £130k), a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models.To be considered for this exciting opportunity, please send your CV over as soon as possible.Contact Details: Emily Martinemily@digitalsourcinggroup.com07722110864Research Scientist - Synthetic Biology - Computational Biologist - Biology - Machine Learning - AI Models - Protein Biology - Python - London - Hybrid

We are seeking a curious, creative and motivated individual who rises to the challenges of building an innovation-driven, early-stage MedTech spin-out to change the future of surgery and play a significant role in developing next-generation core algorithms of the company. As our Research Scientist, you will help design, implement, and validate new computational and machine learning frameworks. You will work alongside our talented team of scientists and engineers to develop prototype and clinical software. In particular, you will<ul><li>shape our real-time surgical guidance technology by developing state-of-the-art computational and machine learning methods for hyperspectral imaging data</li><li>design and implement algorithms for hyperspectral image data processing, from low-level image reconstruction to deep learning-based tissue property estimation and semantic segmentation tasks to stereo vision reconstruction for multi-view surgical guidance</li><li>contribute to the dissemination through patenting and publications</li><li>closely work with our software development and regulatory team for efficient integration from R&D to deployment</li></ul> At Hypervision Surgical, we welcome candidates who have the core skills for the post and are keen to learn and grow with us. We are committed to creating an inclusive environment where a diverse mix of talented people come and enjoy working with each other. By working together, we will change the way surgery is performed and improve patient care. About usHypervision Surgical Ltd is a spin-out company formed from King’s College London and was founded by a team of clinicians, medical imaging and artificial intelligence (AI) experts. Based on safe light alone, our goal is to equip clinicians with advanced computer-assisted tissue analysis for improved surgical precision and patient safety. We have developed a computational Hyperspectral Imaging (HSI) system for improved intraoperative surgical guidance. HSI is a safe optical imaging modality perfectly suited for the clinic. By splitting light into multiple wavelengths far beyond what the naked eye can see, HSI carries diagnostic information about tissue properties ideal for objective tissue characterisation. This will objectively enhance the surgeon’s ability to visualise and characterise tissue intraoperatively without injecting any toxic contrast agents. In addition, our system can monitor vital physiological tissue properties, thereby increasing surgical precision and patient safety while optimising resection. Following successful in-patient clinical studies, we are now working on converting our patent-pending technology into a commercial medical device for surgery. We are building our company at the intersection of surgery, machine learning and interventional image computing for optical systems to increase surgical precision and patient safety. We are backed by a highly experienced syndicate of European and American HealthTech investors, including the corporate venture arm of ZEISS, a multinational technology leader. In addition, we are supported by the British Royal Academy of Engineering, Innovate UK, NIHR (National Institute for Health Research), the Creative Destruction Lab, and King’s Health Partners MedTech Innovations to improve surgical care. Come make an impact with us and help shape our story. A bit about you<ul><li>MSc or PhD in Machine Learning, Medical Image Computing, Computer Vision, or related technical discipline</li><li>Good knowledge of machine learning and computer vision algorithms </li><li>Experience with scientific software packages such as PyTorch, OpenCV, Pandas, SciPy, NumPy, SciKit’s, etc. </li><li>Experience in standard software engineering practices including version control systems and software testing methodologies</li><li>Excellent oral and written communication skills</li><li>Analytical thinker, attentive to details, creative and team player</li><li>Show a strong sense of creating an inclusive environment (Bonus points if you bring a special talent, interest, new language, or unique life experience to the team)</li></ul> What we offer<ul><li>We offer an opportunity to work at and shape a MedTech start-up uniquely positioned to develop next-generation technology for surgical guidance.</li><li>Our board includes serial entrepreneurs for MedTech companies in surgery and surgical robotics, including Martin Frost CBE, Founder and former CEO of CMR Surgical – a globally recognised unicorn in the field of surgical robotics, and we are supported by highly experienced European and American HealthTech VC investors. You will work closely with thought leaders in healthcare engineering to develop and scale an early-stage MedTech start-up.</li><li>As a King’s College London spin-out and member of the King’s MedTech ecosystem, we have key access to crucial resources for R&D and product development for surgery, including access to hospitals, a mock operating room, lab spaces, and computational facilities.</li><li>A 2-year clinical observational neurosurgery study involving 81 patients commenced in April 2022 and an investigational clinical study involving 40 patients at 3 UK centres for laparoscopic abdominal surgery is scheduled to commence in Q3 2024: Your work will directly impact the studies we run and the product we build.</li><li>Building on a highly multidisciplinary background (surgeons, computer scientists, mathematicians, biomedical engineers, regulatory affairs specialists, and KOLs for surgical healthcare technology) our team consists of world-leading experts in machine learning / AI for medical imaging, interventional imaging and medical devices for surgical guidance.</li><li>We pride ourselves on an environment at the intersection between industry, academia and hospitals that cultivates curiosity, creativity and autonomy to develop innovative technologies for the patient and public benefit.</li><li>We offer flexible working arrangements, including flexible hours and remote working.</li><li>We are committed to growing our employees and offering equal opportunities for advancement.</li></ul> ApplyTo apply, send your CV and Cover Letter to careers@hypervisionsurgical.com. Detail how your knowledge, skills, and abilities meet the job requirements.

Research Scientist Jobs in London Area, United Kingdom

Food Research Scientist
April 28, 2024

Research Scientist
April 28, 2024

Machine Learning Research Scientist
April 24, 2024

Applied Research Scientist Molecular Simulation
April 11, 2024

Senior Research Scientist Optimization
April 7, 2024

Principal Research Scientist
April 7, 2024

Research Scientist Computational Biologist
April 7, 2024

Research Scientist
April 7, 2024

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Research Scientist Jobs in London Area, United Kingdom

Food Research ScientistApril 28, 2024

Research ScientistApril 28, 2024

Machine Learning Research ScientistApril 24, 2024

Applied Research Scientist Molecular SimulationApril 11, 2024

Senior Research Scientist OptimizationApril 7, 2024

Principal Research ScientistApril 7, 2024

Research Scientist Computational BiologistApril 7, 2024

Research ScientistApril 7, 2024