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A renowned multinational company in the United Kingdom is looking for an Applied Scientist specializing in Generative AI and large models. This role involves developing machine learning algorithms to address complex challenges, designing experiments, and collaborating with engineers for implementation. Candidates should possess a PhD or Master's in a relevant field and have experience with programming and machine learning. The company offers competitive pay and immigration support.

Spotify has more than 600M listeners in more than 180 markets around the world, who use our music, podcast, and audiobook services to find what delights, entertains, educates, and informs them. Personalization is a high impact organization that provides the technology to serve them what they expect to find, to help them explore and find new things to enjoy, and to suggest things they might not be aware of that they would like. We are looking for a Research Scientist with a machine learning background to help us improve personalization experiences. You will join a team of researchers whose focus is on enhancing the Spotify experience by researching, developing, and integrating state-of-the-art generative AI technologies into our search and recommender systems, and unlock new interactive experiences. You will be part of an interdisciplinary team focusing on ensuring that the foundations of Spotify technologies are at or above the state of the art and, in the process, redefine the state of the art for the field and contributing to the wider research community by publishing papers. Our team has strong ties internally to product groups as well as externally to the research community. Areas of expertise Information Retrieval, Recommendation System, Language Technologies, Foundational Models, Generative AI Technologies, and Machine Learning What You'll Do Participate in groundbreaking research in artificial intelligence with a focus on large-scale generative applications to search and recommendation systems Apply your scientific knowledge to analyze and collect data, identify problems, construct methodologies, including metrics and standard processes, conduct experiments, and devise scalable solutions through hands on prototyping and development Work on practical applications such as search, recommendation, language understanding in the music and talk audio domains Collaborate with other scientists, engineers, product managers, designers, and data analysts across Spotify to design and develop innovative solutions to challenging problems Impact Spotify products, while working on and iterating further a long-term research roadmap Maintain a research profile through external engagement by publishing scientific papers, coordinating workshops, giving talks, and being an active community member at top conferences Who You Are You have a PhD in either information retrieval, intelligent systems, machine learning, computer science, or related areas You have expertise in domains such as language technologies, generative AI technologies, information retrieval, and recommender systems You have peer reviewed publications at journals or conferences such as RecSys, TheWebConf, WSDM, SIGIR, EMNLP, ACL, COLM, ICML, ICLR, NeurIPS, or related You have solid hands on skills in sourcing, cleaning, manipulating, analyzing, visualizing, and modeling of large scale real data You are passionate about making sense of user behavior, music content, and talk audio content using best available methods You are a creative problem solver who is passionate about digging into complex problems and devising new approaches to reach results Where You'll Be This role is based in London or Stockholm We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world's most popular audio streaming subscription service.

About AQEMIA AQEMIA is a drug invention company dedicated to creating entirely new medicines to address major unmet medical needs. At the core of our mission is QEMI, our proprietary molecule-invention platform, which uniquely combines cutting edge science with advanced technology. Powered by physics based modeling, statistical mechanics, and generative AI, QEMI allows our teams to design novel drug candidates from first principles. What makes AQEMIA different is our commitment to true innovation: our research is dedicated to the invention of new molecular entities, not the refinement of existing ones. We focus on inventing never before seen molecules, without relying on experimental data, and advancing them into a growing pipeline of proprietary programs and strategic partnerships with leading pharmaceutical companies. Our most advanced preclinical programs are currently in vivo optimization, targeting diseases still waiting for effective treatments, offering our teams the opportunity to work on science that can make a real difference in people's lives. For more information, visit and LinkedIn. About our Team AQEMIA brings together a diverse, multidisciplinary team of 65+ professionals based in Paris and London. Our scientists and engineers, including chemists, physicists, machine learning experts, and software engineers, work side by side to push the boundaries of early stage drug discovery. This close collaboration across disciplines is central to our approach, enabling us to tackle complex scientific challenges from first principles and translate cutting edge ideas into novel therapeutic candidates. At AQEMIA, team members are encouraged to contribute their expertise, learn from one another, and play an active role in shaping the future of drug invention. About the Team The mission of the Molecular Simulations Team is threefold: Support drug discovery programs by maximizing the impact of binding free energy calculations in decision making. Build, benchmark and continuously improve reproducible and scalable pipelines for binding free energy calculations, enabling support for multiple programs in parallel. Collaborate closely with our Physics Research Team to integrate innovations from Aqemia's proprietary binding free energy methods. Role Overview As a Senior Application Scientist in the Molecular Simulations Team, you will be a scientific leader and technical expert, contributing to the strategy and delivery of Aqemia's Binding Free Energy Technology. You will help define and evolve how physics based simulations inform and accelerate drug discovery decisions at Aqemia. Key Responsibilities Design and lead large scale simulation studies (e.g., relative and absolute binding free energy predictions). Evaluate and improve modeling protocols for reproducibility, accuracy, and efficiency. Serve as a mentor to junior scientists, promoting best practices in simulation and analysis. Contribute to cross functional planning and the integration of simulations with experimental and AI based insights. Stay at the forefront of developments in molecular simulations and suggest innovations to the team. Support the development and scaling of workflows that can serve multiple drug discovery projects. Work closely with the Research Team to implement improvements and updates to Aqemia's proprietary binding free energy methods. Qualifications & Experience MSc or PhD in Computational Chemistry, Biophysics, Statistical Mechanics, or related discipline. 5+ years of experience in molecular simulations, ideally within a drug discovery context. Deep knowledge of free energy methods, molecular dynamics, and simulation software. Strong programming/scripting ability and experience with workflow automation. Demonstrated ability to lead scientific projects and communicate effectively across disciplines. Nice to Have Experience in machine learning applications for physics based modeling. Track record of scientific publications and contributions to the computational drug discovery community. Preferred Mindset Scientific Rigour: Champion high scientific standards and promote best practices across the team. Humble and Willing to Learn: Lead by example with curiosity and openness to new ideas. Excited by Challenging Scientific Problems: Passionate about solving complex, cutting edge problems and guiding others through them. Pragmatic and Impact Driven: Combine strategic thinking with practical execution to deliver real world impact in a fast paced environment. Leadership through Influence: Inspire and mentor colleagues while fostering a collaborative, high performance culture. Why Join Us? At AQEMIA, we work for a mission: joining us means having your own impact on changing the way drugs are discovered, and helping to shape the direction of our fast growing company and team. Expanding Drug Discovery Pipeline Focused on critical therapeutic areas like Oncology, CNS, Immuno inflammation with in vivo proof of concept/patent stage programs. Collaborations with top Pharma, including a $140M Sanofi deal. World Class Interdisciplinary Team Work alongside exceptional talent at the intersection of technology and life sciences. Our teams combine deep expertise in AI, physics based modeling, biology, and medicinal chemistry to push the boundaries of innovation. DeepTech Recognition AQEMIA is proud to be part of the French Tech 120 and France 2030, highlighting our role as a key player in Europe's DeepTech ecosystem. Prime Location with Flexibility Our offices are located in the heart of Paris and London (King's Cross), with flexible work arrangements including up to two remote days per week. Strong Financial Backing $100M raised from leading European and International investors.

This position presents a career growth opportunity to a paid internship position in Australia. Candidates are first required to complete a three-month unpaid internship in Bali so we can assess fit and performance. If this initial stage goes well, we would be pleased to discuss the potential transition to a paid internship position in Australia. Location: Bali, Indonesia (On-site only) Compensation: Unpaid Internship (with potential transition to a paid internship in Australia) Role Overview Join our team as a Machine Learning Engineer Intern, where you will be responsible for building and improving AI models that drive our products and services. This is an exciting opportunity to work with cutting-edge technologies, using Python and frameworks such as PyTorch and TensorFlow to develop real-time, scalable AI solutions. Key Responsibilities Design, build, and enhance machine learning models using Python, PyTorch, and TensorFlow, focusing on scalable, high-performance AI solutions. Collaborate with cross-functional teams to integrate machine learning models into existing systems, ensuring smooth deployment and performance. Conduct thorough testing and validation of models to optimize their accuracy and generalization to new data. Engage in continuous improvement by experimenting with different machine learning algorithms and fine-tuning hyperparameters for better results. Participate in data preparation tasks, including data cleaning, feature engineering, and model evaluation. Document model development processes and results, ensuring clarity for team collaboration and future reference. Role-Relevant Skills Machine Learning Frameworks: Proficient in Python, PyTorch, and TensorFlow for building and optimizing AI models. Data Processing: Strong ability to preprocess data, engineer features, and ensure data quality for model training. Algorithm Development: Experience with implementing deep learning algorithms (CNNs, RNNs, GANs) and fine-tuning models. Experimentation & Evaluation: Ability to experiment with various hyperparameters and evaluate model performance using appropriate metrics. Collaboration: Effective teamwork and communication with cross-functional teams (e.g., engineering) to integrate models into systems. Documentation: Skill in documenting model development, processes, and results for internal teams and future scalability. Learning Outcomes You will gain practical experience in your field, learn to leverage AI tools to scale operations, and develop a deep understanding of how high-growth organizations build and manage teams. You will learn to think strategically, manage multiple stakeholders, and develop systems that drive operational efficiency. This experience will position you for roles at startups, venture-backed companies, and growth-stage organizations. What We Are Looking For Can-do Attitude: You have a proactive mindset and an entrepreneurial spirit. You are self-driven and can thrive in fast-paced work environments. Ambitious: You are highly adaptive and curious, and motivated to learn new skills. Learning Agility: You are committed to continuous learning, adapting in dynamic environments, and tackling problems head-on. AI Tech-savvy: You have prior experience in leveraging AI to accelerate workflows. Independent and Collaborative: You can work independently while working effectively with others, as part of a cross-functional team. International: You have a global mindset and can work in a diverse team. What We Offer This internship provides direct exposure to how companies scale operations. We actively support connections to opportunities that align with career goals. Work hours are 11 AM to 5 PM, providing flexibility to balance professional development with life in Bali. Housing options are available based on preference, from quiet, focused environments to collaborative co-living spaces. You will be part of an international community of entrepreneurs, building meaningful networks and relationships. Important Note The initial position in Bali is an unpaid internship. We do not cover accommodation, visa, or flights. What we offer is the opportunity to build practical skills, free lunch, work on real business challenges, and gain experience in a high-growth environment. Relocation Mandatory relocation to Bali, Indonesia. No remote options available. Start Date ASAP We encourage you to apply even if you do not meet all of the listed requirements. We value diverse experiences and are open to candidates who are eager to grow and contribute to our team.

# About the Business Quilter plc is a leading wealth management business, helping to enable brighter financial futures for every generation. Quilter oversees £126.3 billion in customer investments (as of August 2025). It has an adviser and customer offering spanning financial advice, investment platforms, multi-asset investment solutions, and discretionary fund management. The business is comprised of two segments: Affluent and High Net Worth. Affluent encompasses the financial planning business, Quilter Financial Planning, the Quilter Investment Platform and Quilter Investors, the multi-asset investment solutions business. High Net Worth includes the discretionary fund management business, Quilter Cheviot, together with Quilter Cheviot Financial Planning - offering a highly personalised service to private clients, charities, trustees, and professional partners. Quilter Cheviot has presence throughout the UK, Ireland and Channel Islands. At Quilter we never stand still. Our foundations are rooted in our extraordinary expertise, which is trusted by hundreds of thousands of customers, but we have great ambitions to stay one step ahead and make an even greater difference to the people and communities we serve, including our colleagues. Our business is transforming, continually modernising, and becoming even more customer centric. So, if you want to be bold in the pursuit of your ambitions, bring new ideas, and challenge and evolve what we do, it's the perfect time to join us!# About the Role Level: 4Department: COOLocation: Southampton or LondonContract type: PermanentThe new role sits within AI Centre of Excellence department under Chief Operating Office (COO).The key accountabilities for the role are as follows: AI/ML Solution Delivery: Hands on end-to-end development and deployment of both traditional and GenAI-based machine learning models, including discovery analytics, experimental design, model development, benchmarking, enhancement and deployment. LLM & RAG Integration: Design and implement new Retrieval-Augmented Generation (RAG) pipelines and enhance existing frameworks, applying advanced techniques in data chunking/splitting, vectorization, knowledge graph representation (GraphRAG), and query retrieval and evaluation. Model Evaluation & Prompt Engineering: Design and execute experiments to benchmark and evaluate model performance using both classical metrics (precision, recall, F-score) and GenAI-specific techniques (LLM-as-a-Judge, ROUGE, BERTScore). Develop and refine prompts to optimise GenAI model reasoning, accuracy, and overall effectiveness. Cross-Functional Collaboration: Work closely with business partners, stakeholders, and technical teams (data engineering, platform engineering) to translate business requirements into impactful AI solutions. Research & Innovation: Stay abreast of emerging tools, techniques, and best practices in LLMs, RAG, GenAI, model development & evaluation techniques and proactively apply new knowledge to drive innovation.# About You Qualifications Advanced degree (MSc or PhD) in Machine Learning, Natural Language Processing, Artificial Intelligence, or a related field. Proven track record of delivering AI solutions from research to production in real-world applications. Knowledge Strong foundation in machine learning algorithms and deep learning concepts including Neural Networks and Transformer-based architectures. Knowledge in developing and deploying scalable models on Databricks, Azure, and AWS, leveraging tools such as FastAPI and Docker. Proficient in model tracing and observability for LLM in production and implementing evaluation frameworks for model quality and reliability. Strong understanding of software engineering best practices, including version control, testing, and CI/CD for production-ready AI systems. Domain expertise in financial services or other regulated industries is highly desirable. Experience Strong experience in AI/ML research and development, specializing in deep learning-based NLP, Information Retrieval, and Generative AI. Proven expertise in RAG/GraphRAG pipeline development and evaluation, including advanced retriever-reranker techniques. Experience in building knowledge bases and ontologies is highly desirable. Extensive experience in defining and implementing evaluation metrics for GenAI systems such as Recall, Precision, NDCG, LLM-as-a-Judge, BERTScore, BLEU score, and hallucination detection. Provide mentorship and technical guidance to junior AI Scientists Skills Strong proficiency in Python and experience with frameworks such as NumPy, Pandas, Scikit-learn, and modern Generative AI libraries (e.g., LangChain, LlamaIndex, Azure AI Foundry). Hands-on experience with PyTorch, and leading LLM libraries such as Hugging Face, LangChain, LangGraph, and LlamaIndex. Skilled in hypothesis formulation, defining evaluation metrics, conducting literature reviews, and building reproducible prototypes with critical outcome analysis. Rapid Experimentation Mindset: Comfortable with a fail-fast, learn-fast approach, iterating quickly to validate ideas and accelerate innovation. Exceptional problem-solving skills and a strong passion for innovation. Excellent communication and collaboration abilities, thriving in cross-functional environments. Inclusion & Diversity We value diversity and strive to promote inclusivity in all aspects of our culture. We believe in equal opportunities for all, ensuring that no applicant encounters less favourable treatment based on anything but their skills, qualifications, experience, and potential. We celebrate the unique contributions of a diverse workforce and create a respectful, nurturing environment where every colleague can thrive. Values Do the right thing: We act with integrity and are proudly committed to going above and beyond in service of our clients and the support we provide our communities. Always curious: We continuously seek new ideas and knowledge so we're one step ahead of our clients' needs. We look for inspiration everywhere and encourage experimentation, recognising that this is how we create brilliant solutions for brighter futures. Embrace challenge: We aim high to transform our potential into meaningful outcomes. With ambition as our driving force and a steadfast commitment to growth, we succeed for the good of every generation. Stronger together: Combining our diverse talents, we accomplish more collectively than we ever could do alone. We speak openly, actively listen, and support each other, and constructively challenge and embrace new ideas. We seek empowerment and demonstrate ownership and trust, with the confidence to make impactful decisions. Core Benefits Holiday: 182 hours (26 days) Quilter Incentive Scheme: All employees are eligible to participate in incentive scheme, to incentivise business performance and their contribution. Pension Scheme: A non-contributory company pension scheme that can be boosted through personal contributions. Private Medical Insurance: Single cover as standard with options to increase cover to include your partner or children. Life Assurance: 4x your salary. Income Protection: 75% of salary, less state benefits, payable after 26 weeks of absence. Healthcare Cash Plan: Jersey employees only In addition to our core benefits, we offer a range of flexible benefits to UK employees that you can choose from and pay for conveniently via a salary deduction. We create brighter financial futures for every generation.We do this by guiding our customers and their families through the complexity of planning for their financial future, responding to their rapidly evolving needs and giving them peace of mind. And, with all that's happening in the world today, our

Lightricks is an AI-first company creating next generation content creation technology for businesses, enterprises, and studios, with a mission to bridge the gap between imagination and creation. At our core is LTX 2, an open source generative video model, built to deliver expressive, high fidelity video at unmatched speed. It powers both our own products and a growing ecosystem of partners through API integration. The company is also known globally for pioneering consumer creativity through products like Facetune, one of the world's most recognized creative brands, which helped introduce AI powered visual expression to hundreds of millions of users worldwide. We combine deep research, user first design, and end to end execution from concept to final render to bring the future of expression to all. Team & role The Core Generative AI team at Lightricks Research is a unified group of researchers and engineers dedicated to developing our generative foundational models that serve LTX Studio, our AI based video creation platform. Our focus is on creating a controllable, cutting edge video generative model by merging cutting edge algorithms with exceptional engineering. This involves enhancing machine learning components within our sophisticated internal training framework, crucial for developing advanced models. We specialise in both research and engineering that enable efficient and scalable training and inference, allowing us to deliver state of the art AI generated video models. As a Large Scale Video Understanding Research Scientist, you will play a key role in improving video generation quality and efficiency by improving video and audio understanding pipelines used for both training data construction and model evaluation. What you will be doing Fine tune and control VLLMs for video and audio understanding. Design algorithms for balancing, filtering, and curating training and evaluation datasets, informed by model behaviour and failure modes. Implement classic and modern algorithms for processing, clustering, evaluation and filtering of large scale datasets. Work within high performance, scalable distributed systems capable of handling petabytes of data, with attention to throughput, correctness, and reproducibility. Collaborate with other researchers and product stakeholders to iteratively improve training sets and evaluation protocols through tight feedback loops driven by model performance. Your skills and experience Experience training, fine tuning, or post training large scale VLLMs or multimodal foundation models. Strong software engineering skills, proficient in Jax or PyTorch. Ability to develop and implement computer vision models for data filtering and evaluation. Understanding of relevant topics in statistics, clustering. Enjoys delving into system implementations to enhance performance and maintainability. This role is designed for individuals who are not only technically proficient but also deeply passionate about pushing the boundaries of AI and machine learning through innovative engineering and collaborative research. Why Join Us: We're here to push the boundaries of what's possible with AI and video - not for the buzz, but for the craft, the challenge, and the chance to make something genuinely new. We believe in an environment where people are encouraged to think, create and explore. Real impact happens when people are empowered to experiment, evolve, and elevate together. At Lightricks, every breakthrough starts with great people and a collaborative mindset. If you're looking for a place that combines deep tech, creative energy, and zero buzzword culture, you might be in the right place. We run daily door to door shuttles, offering Car to go subscriptions from several locations for several locations in central Israel, plus free parking and train station pickups. We're proud to have 2 chef led restaurants on site by the legendary Machneyuda Group (yes, that Machneyuda!), plus a bakery nestled in the heart of our office, filled daily with the scent of fresh pastries. We empower employees with cutting edge tools and learning opportunities to grow and succeed through workshops, access and training on platforms, subscriptions, and clear guidelines for responsible AI use. Apply for Research Scientist - Audiovisual Understanding, Model Foundations

We are partnering exclusively with a pioneering organisation developing next generation computing technologies to appoint a Machine Learning Research Scientist/Research Engineer. This is a rare opportunity to join a team working at the intersection of machine learning, computational science, and emerging hybrid computing architectures. The work focuses on algorithmic innovation, generative modelling, and benchmarking ML systems on cutting edge hardware platforms. You will contribute to the development of new machine learning algorithms designed for advanced computing systems that extend beyond traditional GPU/TPU environments. The role involves close collaboration with researchers across ML, physics, and scientific computing, with a strong emphasis on generative models, numerical methods, and hybrid quantum classical approaches. Essential Experience Experience with heterogeneous computing hardware (HPC, NPUs, ASICs, quantum systems). Strong background in machine learning research, including algorithm development and benchmarking. Hands on experience with generative models (diffusion, flows, GANs). Proficiency in PyTorch, Python, and modern ML tooling. Experience in computational science, numerical methods, or scientific computing. MSc or PhD in Machine Learning, Computer Science, Physics, Applied Mathematics, or a related field, or equivalent research experience. This role is ideal for candidates who thrive in research driven environments, enjoy developing new ML methods, and want to work on problems that blend machine learning, physics, and advanced computation. Due to the nature of the work, this role is best suited to candidates with a strong research background rather than purely production focused ML experience. If you're excited by the idea of building ML algorithms for non traditional compute architectures, we'd welcome a confidential conversation.

Salient Bio is a cutting-edge clinical diagnostics laboratory based in London, specialising in clinical-grade microbiome testing. It operates a full-stack microbiome platform-covering everything from sample kit assembly and wet-lab processing to advanced data analysis and machine-learning-driven interpretation. By maintaining end-to-end control over workflows, Salient Bio delivers highly precise and reliable microbiome insights that support disease diagnosis and wellness testing. Its interdisciplinary team includes scientists and software engineers working collaboratively to transform microbiome research into real-world healthcare impact. The Role Salient Bio is seeking an experienced and motivated Senior Scientist (Microbiome) to play a central role in advancing its diagnostic and wellness testing portfolio. This is a senior scientific position with opportunities for leadership, innovation, and professional growth within a fast-growing biotech company. The Senior Scientist in this role will contribute to the development of new in-vitro diagnostic microbiometests, refine laboratory workflows, collaborate closely with bioinformatics teams, and support grant-funded research initiatives and clinical studies. Key Responsibilities Lead and contribute to grant applications supporting microbiome research, pilot studies, and clinical trials Design and improve diagnostic and wellness microbiome testing products Conduct critical literature reviews and translate findings into applied research strategies Collaborate with bioinformatics teams to enhance microbiome data analysis and client reports Design and deliver bespoke microbiome studies for external partners and clients Develop, validate, and optimise laboratory protocols and workflows Transition R&D protocols into routine diagnostic workflows by writing SOPs and training staff Support NGS workflow optimisation and scalability alongside the NGS Lab Manager Participate in sample processing when required (from receipt to sequencing or qPCR) 6+ years of microbiome and microbiology experience (PhD, postdoctoral, or equivalent industry background) Proven experience contributing to successful grant applications Strong wet-lab expertise in molecular biology (DNA/RNA extraction, PCR, QC) Understanding of standard quality controls in NGS workflows Excellent scientific communication and data interpretation skills Strong organisational and project-management abilities Experience mentoring or training junior team members High attention to detail and documentation (UKAS-accredited environment) How to Apply Interested candidates should send their CV to:

A dynamic tech firm seeks a Machine Learning Engineer Intern to design and enhance AI models in Bali. This unpaid internship offers a pathway to a paid position in Australia, with responsibilities including model development using Python and TensorFlow. Ideal candidates are ambitious, tech-savvy, and eager to learn. Flexibility in work hours and housing options are provided, aiming to offer significant practical experience in a high-growth environment.

A technology company in Greater London is seeking an experienced Machine Learning Engineer to join their dedicated team. The role involves mentoring engineers and driving the technical standards while working on innovative ML solutions. Ideal candidates will have extensive experience in applied ML and a significant track record of impactful contributions. The position offers competitive salary, equity, and a hybrid work environment with a strong emphasis on diversity and inclusion.

# Our Privacy Statement & Cookie Policy Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation of research capabilities across different areas and are looking for scientists who participate in designing, coding, conducting experiments, translating findings into concrete deliverables and engaging with the academic community. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling, etc.) Data-centric Machine Learning (Synthetic Data, Curriculum Learning, Learned datamixtures, etc.) Evaluation (Benchmarks, Human-in-the-loop, red teaming/Adversarial Testing, Hallucination detection, )We work collaboratively both with TR Labs (TR's applied research division), academic partners at world-leading research institutions and subject matter experts with decades of experience. We experiment, prototype, test, and deliver ideas in the pursuit of smarter and more valuable models trained on an unprecedented wealth of data and powered by stateof-the-art technical infrastructure. Through our unique institutional experience, we have access to an unprecedented number of subject matter experts involved in data collection, testing and evaluation of trained models. As a Research Scientist, you will play a key part in a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development. Thomson Reuters Labs is known for consistently delivering successful data- driven ML solutions in pursuit of academic excellence and support of high-growth products that serve Thomson Reuters customers in new and exciting ways. About the role In this opportunity, as a Research Scientist you will: Innovate: You will innovate and create new state-of-the-art Agent AI/LLM Agent approaches at the cutting edge of AI research. You will contribute ideas and work on solving real-world challenges using a wealth of data in agentic contexts. Experiment and Develop: You are involved in the entire research & model development lifecycle, brainstorming, coding, testing, and delivering high-quality reports at leading international academic conferences. Collaborate: Working on a collaborative global team of research engineers both within Thomson Reuters and our academic patterns at world-leading universities. Communicate: Actively engage in sharing our technical findings with the wider community through contributions to seminars, lectures, conferences and/or the sharing of publications and/or technical assets (data & models). About you You're a fit for the role if your background includes: Required qualifications: Completed or in the process of obtaining PhD in a relevant discipline. First-author publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR) with specific focus on agent systems, tool use, or multi-agent coordination Familiarity with one or more deep learning frameworks (e.g. pytorch, jax, tensorflow, ) Excellent communication skills to report and present research findings and developments clearly, both orally and in writing. Curious and innovative disposition capable of devising novel, well-founded algorithmic solutions to relevant problems. Self-driven attitude and ability of working with limited supervision. Comfortable in working in fast-paced, agile environments, managing uncertainty and ambiguity Preferred qualifications : High-impact publications in top-tier conferences or other influence in the research community. Experience in ML Research beyond completing a PhD (e.g. supervision, industry experience, leading academic initiatives, ). Extensive experience with deep learning frameworks and large-scale model training. Extensive experience working on agent-based systems, tool-using AI, or multi-agent coordination in LLM contexts (e.g. startup, industry, or extensive open-source experience). Strong software and/or infrastructure engineering skills and ensuring well-managed software delivery, as evidenced by code contributions to popular open-source libraries or writing production code. Experience training large-scale models over distributed nodes with cloud tools and providers such as Amazon AWS, MS Azure, LambdaLabs or Google Cloud. You will enjoy: Learning and development: On-the-job coaching and learning as well as the opportunity to work with cutting-edge methods and technologies. Plenty of data, compute, and high-impact problems: Our scientists and engineers get to explore large datasets and discover new capabilities and insights. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & accounting professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data. We also provide access to all major cloud computing platforms to our researchers and engineers. Competitive compensation & benefits packages: The opportunity to earn while learning new skills Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.Thomson Reuters informs the way forward by bringing together

Select how often (in days) to receive an alert: Job Title: Research & Development Scientist Location: Malvern, England, United Kingdom Role Type: Permanent - Full Time >Package: Competitive Salary + Benefits Role ID: 19353 Are you ready to be part of the future? At QinetiQ, we're not just imagining tomorrow we are creating it. From cutting-edge defence technology to ground breaking innovations our mission is to empower and protect lives. Join us as a Research & Development Scientist at our Malvern site, where you will have the opportunity to work with cutting edge technology in partnership with some of the most brilliant minds. The Role As a Research & Development Scientist, you will play a key role in advancing radar and electronic warfare technologies through innovative research, analysis and development. Day to day, you'll carry out technical research, develop and test algorithms and models, work with real world data, and collaborate closely with customers and multidisciplinary teams to deliver solutions that improve sensor and system performance. Your responsibilities will include: Performing research and development activities across radar and electronic warfare projects Developing and applying signal processing, machine learning and algorithmic solutions Analysing data and interpreting results to support system performance and capability Working with customers to understand requirements and deliver technical solutions Contributing to innovation and continuous improvement within the team Essential experience of the Research & Development Scientist Experience in scientific or engineering analysis and problem solving Knowledge of radar, electronic warfare or RF sensing concepts Experience developing algorithms using Python or MATLAB Understanding of signal processing, data analysis or modelling techniques Ability to work effectively within multidisciplinary technical teams Strong communication skills with the ability to present technical findings Essential qualifications for the Research & Development Scientist Degree in Science or Engineering or equivalent professional qualification We value difference and we don't have a fixed idea when it comes to background or education, provided you can show the required level of experience and willingness to learn then we would like to hear from you. This role is 37 hours per week based at Malvern. Hybrid working patterns are available. Travel to other QinetiQ and customer sites may be expected. QinetiQ operates state-of-the-art facilities across the UK that focus on defence, security and technology innovation. These facilities enable QinetiQ to conduct a wide range of research, testing and development activities that support both military and civilian applications helping to advance technology and support national security. Why Join QinetiQ? As we continue to grow into new markets around the world, there's never been a more exciting time to join QinetiQ. The formula for success is our appetite for innovation and having the courage to take on a wide variety of complex challenges. As a QinetiQ employee, you'll experience a unique working environment where teams from different backgrounds, disciplines and experiences enjoy collaborating widely and openly as we undertake this exciting and rewarding journey. Through effective teamwork, and pulling together, you'll get to experience what happens when we all share different perspectives, blend disciplines, and link technologies; constantly discovering new ways of solving complex problems in a diverse and inclusive environment where you can be authentic, feel valued and realise your full potential. Visit our website to read more about our diverse and inclusive workplace culture . Matched contribution pension scheme, with life assurance Generous holiday allowance, with the option to purchase additional days Options to join Health Cash Plan, Private Medical Insurance and Dental Insurance Employee discount portal: Personal Accident Insurance, Travel Insurance, Restaurants, Cinema Tickets and much more We are proud to support the Armed Forces community by honouring the Armed Forces Covenant and maintaining our Gold Award standard in the Defence Employer Recognition Scheme Volunteering Opportunities - helping charities and local community Our Recruitment Process: We want to make sure that our recruitment process is as inclusive as possible and we aspire to bring out the best in our candidates by creating an environment where everyone feels valued, heard and supported. If you have a disability or health condition that may affect your performance in certain assessment types, please speak to your Recruiter about potential reasonable adjustments. Many roles in QinetiQ are subject to national security vetting being completed, applicants who already hold the appropriate level of vetting may be able to transfer it upon appointment. A number of roles are also subject to additional restrictions, which means factors such as nationality or previous nationalities may affect the roles that you can be employed in. Please note that all applicants for this role must be eligible for SC clearance, as a minimum.

Postdoctoral Research Assistant in Floating Offshore Wind University of Oxford - Department of Engineering Science Oxford, England, United Kingdom This full-time fixed-term research position invites a motivated early-career researcher to join the Environmental Fluid Mechanics Group at the University of Oxford's Department of Engineering Science. Funded by the Supergen Offshore Renewable Energy (ORE) Hub, the role focuses on the fluid dynamics of floating offshore wind - a leading edge of renewable energy research that blends numerical modelling, data-driven methods and experimental approaches to tackle real-world challenges in sustainable power generation. The post is initially for one year with the potential for extension and offers the opportunity to contribute to next-generation hybrid testing methodologies that advance understanding of turbine performance under realistic wind and wave conditions. General Description As part of the research project on floating offshore wind energy, you will engage in high-fidelity computational fluid dynamics (CFD) simulations of floating wind turbines modelled via actuator-line methods. Your work will assess the applicability and limitations of reduced-order models for turbine performance prediction and support the development of machine-learning surrogate models capable of reproducing aerodynamic loads in real time for use in physical experiments. This blend of theory, numerical simulation and data-centric modelling aims to drive innovation in hybrid testing and deepen scientific understanding of how floating turbines behave in complex environmental conditions. Eligibility Criteria Applicants should hold a PhD (or be close to completion) in engineering, fluid mechanics, aerodynamics, applied physics or a closely related discipline. A strong record of research achievement, as demonstrated through publications or equivalent outputs, is expected. Required Expertise, Skills A solid background in computational fluid dynamics (CFD) and wind turbine fluid mechanics is essential, with the ability to interpret and model the aerodynamics of wind energy systems and floating body dynamics. Experience with data-driven modelling techniques and high-performance computing will support contributions to surrogate model development. Strong analytical skills and the capacity to work collaboratively within a multidisciplinary research group are necessary for success in this role. Salary Details This position is offered on Grade 7 with a salary range of £39,424 to £47,779 per annum inclusive of the University of Oxford weighting. Application Deadline Applications must be submitted by 4 March 2026 at 12:00 PM (midday UK time).

Lightricks is an AI-first company creating next-generation content creation technology for businesses, enterprises, and studios with a mission to bridge the gap between imagination and creation. At our core is LTX-2, an open-source generative video model, built to deliver expressive, high-fidelity video at unmatched speed. It powers both our own products and a growing ecosystem of partners through API integration. The company is also known globally for pioneering consumer creativity through products like Facetune, one of the world's most recognized creative brands, which helped introduce AI-powered visual expression to hundreds of millions of users worldwide. We combine deep research, user-first design, and end-to-end execution from concept to final render to bring the future of expression to all. The role Following the success of LTX-2, our widely adopted open-source text-to-audio+video model, we are expanding our efforts to develop cutting-edge audio+video generation models and are hiring Research Scientists to join our LTX-Applications team. As a Research Scientist in the LTX Model Quality team, you will play a key role in elevating the quality, controllability, and alignment of our video generation model. This role focuses on the critical post-training phase-developing and implementing techniques such as preference optimization, reward modeling, and human feedback integration to refine model outputs. You will design robust evaluation frameworks, define quality metrics, and build systematic approaches to identify and address model failure modes. Your work will directly impact the quality of the videos we generate. What you will be doing Develop and implement post-training pipelines, including RLHF, DPO, and other preference-based optimization techniques for video generation models. Fine-tune and control VLLMs for video and audio understanding. Design and iterate on quality evaluation metrics and frameworks. Conduct systematic failure mode analysis and develop targeted interventions to address quality gaps. Build and curate high-quality preference datasets and evaluation benchmarks that capture nuanced aspects of video generation quality. Collaborate closely with fellow researchers to establish tight feedback loops between human judgment and model improvement. Your skills and experience Master's degree or equivalent practical experience in computer vision or generative AI Experience with post-training techniques for generative or multimodal models. Strong understanding of evaluation methodology, quality metrics, and benchmark design for generative AI. Solid software engineering skills and comfort working with complex ML training infrastructure.Understanding of relevant topics in statistics, experimental design, and perceptual quality assessment. Ability to translate subjective quality assessments into measurable, actionable model improvements. Enjoys iterative, detail-oriented work and takes pride in systematically improving model outputs. Loves diving into the data, curating, filtering, and specializing it for the teams' tasks. We run daily door-to-door shuttles, offering Car-to-go subscriptions from several locations for several locations in central Israel, plus free parking and train-station pickups. We're proud to have 2 chef-led restaurants on site by the legendary Machneyuda Group (yes, that Machneyuda!), plus a bakery nestled in the heart of our office, filled daily with the scent of fresh pastries. We empower employees with cutting-edge tools and learning opportunities to grow and succeed through workshops, access and training on platforms, subscriptions, and clear guidelines for responsible AI use. Apply for Research Scientist - LTX Model Quality Our headquarters are a one-of-a-kind indoor-outdoor office space that features beautiful ponds, gardens, a gym, restaurant, outdoor meeting areas, and most importantly, great people. For those living outside of the city, don't worry, transportation is on us. Our brilliant minds in R&D take our products to the next level. Our areas of expertise include computer vision, machine learning, rendering, deep learning, computational photography, and augmented reality. Our tech team also boasts a leading research team, allowing Lightricks to remain an industry leader.

A renowned multinational company is seeking an Applied Scientist to develop machine learning models for personalization and recommendations. The ideal candidate will hold a PhD or Master's degree in a relevant field and possess experience in programming languages like Java, C++, and Python. Responsibilities include designing systems for customer interactions, collaborating with engineers for deployment, and providing strategic machine learning insights. This position offers immigration support and a competitive salary package.

Generative Biology Institute The Generative Biology Institute (GBI) is tackling the key challenges in making biology engineerable, and thereby unlocking the unrivalled power of biology for the benefit of humanity. GBI is part of the Ellison Institute of Technology, Oxford (EIT) and is led by founding Director Jason Chin. The vision of the Generative Biology Institute is to lay the foundations for engineering biology, and unlock its potential for good. To achieve this, we must overcome two key challenges. First, we need the ability to write in the natural language of biology, enabling the rapid and scalable synthesis of entire genomes with precision. Second, we must understand what to write - determining which DNA sequences will generate biological systems that perform the desired functions. Addressing these challenges will allow us to harness the full power of biology to create transformative solutions across health, agriculture, clean energy and more. GBI will have sustained and substantial funding to support the unique scale and ambition of its ground-breaking vision for engineering biology. GBI researchers will also be supported by cutting-edge technology hubs including mass spectrometry, flow cytometry, sequencing, automation, imaging, and bioprocessing. GBI will also have access to substantial compute resources that can be leveraged to further accelerate progress, including scientific compute, bioinformatics, and machine learning. The environment at GBI will allow researchers to undertake ambitious, long-term, collaborative research, and we will actively support the translation of research to commercial applications, where appropriate. The Generative Biology Institute will commence operations in a newly renovated bespoke space in the Oxford Science Park. The team will later move to a purpose-made facility in the Oxford Science Park, currently under construction. Once complete, this state-of-the art facility will include more than 40,000 m of research laboratory and office space.It will house over 30 groups and up to 600 employees at scale, focused on solving the two critical challenges in making biology engineerable and applying the solutions to addressing the global challenges encapsulated in EIT's Humane Endeavors. Job Summary The Generative Biology Institute (GBI) is seeking enthusiastic and motivated Research Assistants to join the institute. This role is ideal for individuals looking to apply their academic training in a practical, research-intensive environment. Research Assistants will support ongoing research projects within one or more GBI research groups, assisting with experimental work, data collection and analysis, and the development and maintenance of laboratory capabilities. You will also contribute to the preparation of scientific reports, presentations, and other research outputs, working closely with researchers across GBI in a collaborative and well resourced setting dedicated to advancing engineering biology at scale. Applications to Research Groups Applicants are required to apply to specific research groups as part of their application. On the application form, you may select up to three (3) research groups. In your cover letter, please clearly indicate the group(s) you are applying to and describe your interest, relevant skills, and experience for each. Applications that do not specify research group preferences, or that select more than three groups, will not be considered. All applications must be submitted exclusively through the EIT job portal. Please do not contact Principal Investigators directly, as direct outreach will not be considered as part of the application process. Due to the volume of applications, the review and decision process may take 3-6 months. Principal Investigators currently recruiting for Research Assistants: Leopold Parts - The Parts group works to engineer and model mammalian chromosomes. In particular, the group has long term aims to delete, randomize, evolve, and model chromosome scale DNA, all with the aim of informing models of synthetic DNA function; other ideas fitting this broad remit are very welcome. Rongzhen Tian - The Tian group aims to leverage an orthogonal replication system for the accelerated evolution of complex biological functions to i) advance fundamental scientific understanding of molecular and cellular evolution, ii) develop biomolecules to tackle challenges in human health and industry, and iii) generate large scale enzyme datasets for training next generation protein design models. Jérôme Zürcher - The Zürcher group aims to develop methodology to rapidly and scalably write entire genomes of microbes and phages and to leverage these methods to i) genetically isolate organisms, ii) investigate host pathogen interactions, iii) provide a platform for large vector assembly towards Gb scale genome synthesis. Linda van Bijsterveldt - The van Bijsterveldt group aims to develop methods for building and stably transmitting synthetic chromosomes through mitosis and meiosis in mammals and plants. Projects focus on i) creating scalable platforms for constructing entire genomes, ii) transferring chromosomes between different species, and iii) controlling trait inheritance patterns. Kiarash Jamali - The Jamali group focuses on integrating novel, large databases and inductive biases in generative models of biomolecules, seeking to create next generation tools that would enable protein design of new to nature enzymatic reactions, therapeutics, and molecular motors. A particular focus will be on the integration of learned machine learning force fields with generative protein modelling. Fabian Rehm - The Rehm group works to develop and apply new approaches for the continuous evolution of target genes, and the synthesis of large microbial genome stretches. Research will focus on i) evolving complex, multi gene traits within a single experiment, ii) building selective pressures that reward desired behaviours while minimising escape routes, iii) how to borrow principles from natural evolution, such as modularity, gene amplification, or cooperation, to help engineered organisms explore richer evolutionary pathways. Jason Chin - The Chin group's work pioneers: i) the development and application of genome design and synthesis methods and ii) combines these approaches with cellular engineering for the encoded cellular synthesis of new polymers and materials. Key Responsibilities for all Research Assistants: Assist in scientific studies and experiments by collecting and analysing data under the guidance of the senior scientists Perform routine laboratory tasks such as preparing samples, setting up equipment, and maintaining lab safety protocols Analyse experimental data using software tools. Prepare reports and presentations of findings Support the Research Group in the development of written materials, including publications, conference presentations and laboratory protocols Carry out desk based research to establish the state of the art in scientific areas related to the work of GBI Stay current on scientific advancements and technologies related to the field of synthetic biology through journals, conferences, and other academic resources Provide general day to day support to the wider team and any other duties requested of you by your group leader This list is not exhaustive and the role holder may be required to undertake additional tasks and duties commensurate with the role. Essential & Desirable Knowledge, Skills and Experience: A Bachelor's degree in a relevant scientific field (e.g. Biology, Chemistry, Engineering, Computer Science) Previous experience in working in a research laboratory Ability to work effectively in a high growth, fast paced, dynamic environment. Highly organised with an ability to manage multiple projects. Excellent oral and written communication skills, inter personal skills, and the ability to work with a wide range of people from diverse backgrounds. Experience with problem solving involving multiple internal and external stakeholders We offer the following salary and benefits: Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electrical Car Scheme Why work for EIT: At the Ellison Institute, we believe a collaborative, inclusive team is key to our success. We are building a supportive environment where creative risks are encouraged, and everyone feels heard. Valuing emotional intelligence, empathy, respect, and resilience, we encourage people to be curious and to have a shared commitment to excellence. Join us and make an impact! Terms of Appointment: You must have the right to work permanently in the UK with a willingness to travel as necessary. You will live in, or within easy commuting distance of, Oxford. During peak periods, some longer hours may be required and some working across multiple time zones due to the global nature of the programme.