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SCIENTIFIC SOFTWARE DEVELOPMENT ENGINEER PERMANENT ROLE, BASED LIVINGSTON / HYBRID EXCELLENT SALARY PLUS BENEFITS Based in Livingston, Grw Talent s client comprises of a group of European companies engaged in the design, development, manufacture and distribution of analytical systems, life science equipment and laboratory instruments with operations dating back many years. Now part of a global multinational business, their fast growing multidisciplinary scientific and engineering group is looking to recruit a Scientific Software Development Engineer. Reporting into the Software Team Leader, the Scientific Software Development Engineer will be responsible for the design, development, testing, documentation, and maintenance of system software for their scientific products. R esponsibilitie s : Gather requirements, design, code, test and maintain system software for their products. Liaise with and support, through proper use of the defect tracking system, Software Testing. Produce manuals and support documentation for system software. Maintain full records and ensure safe keeping of all system software. Ensure that all activities comply with Company quality procedures. Propose, implement and demonstrate solutions to problems which may not, given the research and development environment, have clearly defined requirements. Provide support to Production and Sales teams, as required. Keep abreast of current technology and advise the Company on issues that may affect performance and success. Undertake off-site visits, and/or remote in, as required to install, service or maintain software systems and computer related hardware. You should ideally have a degree in software engineering or a related engineering/science discipline with relevant software development experience and strong programming skills in C++, Delphi or a similar language along with Microsoft windows programming experience and a thorough understanding of object-oriented design methods and patterns. Demonstrable UI design skills and experience of using Source Code Management and Bug tracking tools in a team environment also important. Desirable skills include experience of C# and Python and being familiar to Agile software development principles and patterns and Scientific or Mathematical programming - Data Analysis Algorithms, statistics, etc. Also highly advantageous would be Instrumentation knowledge scientific/medical, hardware interfacing, data acquisition, e.g., USB devices, sensors, motor control, and electronics etc or a background in scientific research. Although primarily needed to work on site 3 days a week you will likely be able to work from home 2 days a week once established in role. You will work a 37.5 hour flexible working pattern, that allows an early finish on a Friday. A comprehensive range of benefits including performance-related bonus scheme, death in service, group income protection, private medical insurance, pension scheme, paid holidays, subsidised gym membership, cycle to work and employee discount scheme. A competitive salary and package tailored to your experience is on offer for the right candidate. However, the chance to be part of something truly unique makes this too good to refuse. Please send your CV to our recruitment partner Katie Hydes at Grw Talent.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 2 years of experience with Android application development. Preferred qualifications: Master's degree or PhD in Computer Science, or a related technical field. 2 years of experience with data structures and algorithms. Experience in developing accessible technologies. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. Responsibilities Design and implement features to improve the performance of public Android releases. Investigate and fix performance issues. Design and implement the guidelines and best practices for other developers to avoid performance bugs. Work with the executive engineers in the team to identify the new opportunities to build a premium Android experience. Collaborate with other teams to build and improve the tools and frameworks to track, investigate and fix performance issues. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing the Accommodations for Applicants form.

Are you a curious and open-minded individual with an interest in conducting state-of-the-art foundational machine learning research? Thomson Reuters Labs is seeking Research Scientists with a passion for building complex agent-based AI systems in a data-rich, complex academic environment driven by real-world problems. 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 state-of-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 partners 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: 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, Microsoft 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. What's in it for you? 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. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status . click apply for full job details

About Huawei Research and Development UK Limited Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and regions, serving more than three billion people around the world. Our vision and mission is to bring digital to every person, home and organization for a fully connected, intelligent world. To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power you need it, when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether they're at home, in the office, or on the go. This spirit of innovation has led Huawei to work in close partnership with leading academic institutions in the UK to develop and refine the latest technologies. With a shared commitment to innovation and progress, both parties have worked together to achieve common goals and establish a strong partnership. The partnership between UK and Huawei help to develop the technologies of the future will transform the way we all communicate, work and live. For the past 30 years we have maintained an unwavering focus, rejecting shortcuts and easy opportunities that don't align with our core business. With a practical approach to everything we do, we concentrate our efforts and invest patiently to drive technological breakthroughs. This strategic focus is a reflection of our core values: Staying customer-centric, Inspiring dedication, Persevering, Growing by reflection Huawei Research and Development UK Limited Overview Huawei's vision is a fully connected, intelligent world. To achieve this, we work to inspire passion for basic research around the world. Our combined passion drives development across the global innovation value chain. Huawei has the largest Research and Development organization in the world with 96,000+ employees in research centers around the globe. In the UK, we already have design centers in Cambridge, London, Edinburgh and Ipswich. We continue to explore and define new research directions and new services. We have expanded our collaborations with academic researchers; researched new network architectures, integration of communications and key enabling technologies; and developed the fundamental theories of these technologies. We invite you to join us on this exciting journey and drive your career forward. Job Summary The Reinforcement Learning Team at the Huawei London Research Centre is seeking a highly skilled and research-driven Machine Learning Scientist to join our team. Our group combines world-class research with impactful applications, earning top honors such as NeurIPS 2020 Black Box Optimisation Challenge - Winners, multiple Best Paper and Best Systems Paper Awards, and industry recognition, including Huawei's Gold Medals and Best Technology Breakthroughs. This role focuses on advancing the state-of-the-art in reinforcement learning, Bayesian optimisation, AI agents, large language models (LLMs), and/or vision-language models (VLMs). You will work at the intersection of fundamental research and applied innovation, developing novel algorithms, architectures, and systems that push the boundaries of AI capabilities. This is a unique opportunity to contribute to high-impact AI research while collaborating with a multidisciplinary and multinational team of scientists and engineers. We value scientific excellence, demonstrated by a strong publication record at top-tier venues, and an eagerness to translate cutting edge ideas into working prototypes and real world applications. Key Responsibilities Conduct original research in RL, BO, AI agents, LLMs, and VLMs, leading to publications in top conferences and journals (e.g., NeurIPS, ICLR, ICML, JMLR, and othersli> Design and implement new algorithms and models that enable advanced reasoning, planning, perception, and multimodal understanding. Design and implement new algorithms for efficient decision making under uncertainty with applications to chemistry, physics, open math problems, and robotics. Collaborate with cross functional teams to integrate research outputs into scalable systems and real world use cases. Explore novel ways to align and enhance AI agents for complex, open ended tasks. Actively engage with the broader research community through publications, talks, and open source contributions. Mentor junior researchers and contribute to the scientific culture of the team. This job description is only an outline of the tasks, responsibilities and outcomes required of the role. The jobholder will carry out any other duties as may be reasonably required by his/her line manager. The job description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited. Required PhD (or equivalent research experience) in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Strong research track record with publications at top-tier ML/AI venues: ICML, ICLR, JMLR, NeuRIPS and the like. Deep expertise in at least two of the following: Reinforcement Learning, Bayesian Optimisation, AI agents, LLMs, VLMs. Proficiency in Python and experience with at least one major ML framework (PyTorch, TensorFlow, or JAX). Ability to work in a fast paced, research oriented environment with ambiguous and evolving goals. Passion for bridging fundamental AI research with impactful applications.

We're looking for a Research Scientist (Machine Learning) to join an ambitious and interdisciplinary team applying AI to transform drug discovery and accelerate the development of life-changing medicines. This is a chance to work on cutting-edge ML research with direct real-world impact, in a collaborative environment where innovation and creativity are encouraged. What you'll get Work at the intersection of AI and life sciences with high impact applications. Hybrid working (3 days per week in the London office). A collaborative, inclusive culture with opportunities for growth and leadership. What you'll do Design and develop novel ML models and algorithms. Apply deep learning and generative modelling to complex scientific problems. Collaborate with experts across biology, chemistry, physics, and engineering. Analyse, tune, and optimise experimental results. Depending on experience: lead projects, mentor others, and shape research strategy. What you'll bring PhD (or equivalent experience) in ML, computer science, or a related field. Proven expertise in deep learning research and model development. Strong knowledge of mathematics (linear algebra, calculus, statistics). Experience with ML frameworks such as PyTorch, TensorFlow, or JAX. A passion for applying ML to real-world scientific challenges. Nice to have Experience working with biological or chemical data. Familiarity with large-scale deep learning, generative models, GNNs, RL, or computer vision. Contributions to publications, research projects, or open-source ML. Senior (5+ years of experience) Company: BioTalent

About Inworld Inworld is a product-oriented research lab of top AI researchers and engineers, developing best-in-class realtime multimodal models and the only realtime orchestration platform optimized for thousands of queries per second. We've raised more than $125M from Lightspeed, Section 32, Kleiner Perkins, Microsoft's M12 venture fund, Founders Fund, Meta and Stanford, among others. Our technology has powered experiences from companies such as NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella and Bible Chat. We've also been recognized by CB Insights as one of the 100 most promising AI companies globally and have been named one of LinkedIn's Top 10 Startups in the USA. About the role Voice is one of the key interfaces humans will interact with AI at scale. To make this reality, we are building the engine for the next generation of AI-driven software. Our primary focus is pushing the boundaries of speech modeling (STT & TTS). We approach this by researching and utilizing ML ideas that allow us to achieve state-of-the-art results (we recently ranked on Artificial Analysis for Text-to-Speech models). Working with audio is uniquely complex - arguably more so than text - because the solution space for how a specific phrase can be spoken is effectively infinite. This creates a vast landscape of challenges, from data collection and efficient training infra to creating RL alignment environments and ultra-low latency inference optimizations. We are seeking Senior AI Engineers to solve these challenges. You will be responsible for researching, building, optimizing, and deploying the production ML systems that thousands of developers integrate with their systems. Your work will focus on the difficult research and engineering problems of building the engine for the next generation of AI-driven software. Qualifications Power user of AI agents for work automation A BA/BS, MS, or PhD in a technical field (CS, Math, Physics) with a strong foundation in Machine Learning. 3+ years of combined experience in software development (e.g. with Python or C++) and applied ML engineering. Demonstrated experience applying or researching Machine Learning in one or more of the following domains: Speech or video processing Natural Language Processing (NLP) Action planning Strong foundation in data structures, algorithms, and neural network architectures. Proficiency with ML frameworks such as PyTorch. A good fit for this role may have A passion for learning and staying up-to-date with the latest advancements in ML/Voice AI research and its applications. Ability to work collaboratively in a fast-paced environment with shifting priorities. Familiarity with pre-training, fine-tuning, RLHF and evaluation of large language and speech models. Knowledge of working with embedded systems and/or running ML on edge devices. Strong background in mathematics and/or physics. Location & Employment Location: remote within United Kingdom Employment type: Full-time, permanent employment Candidates must already have the legal right to work in the United Kingdom. Visa or sponsorship is not available for this role. Optional relocation support to the United States may be available for candidates who are interested in relocating in the future and who meet applicable eligibility and immigration requirements. Any relocation and employment in the United States would be subject to separate review, legal authorization, and business approval.

London, United Kingdom Posted on 11/25/2024 We're thrilled to present an incredible career opportunity! We're recruiting on behalf of a renowned multinational company based in the United Kingdom, seeking an Applied Scientist experienced in Generative AI and large models. What you'll do: You will take the lead in developing machine learning models capable of handling very large datasets across various dimensions. With a commitment to scientific precision, you will design and conduct experiments to validate the technical performance and business impact of your approaches. Collaborating closely with fellow scientists and engineering teams, you will ensure your research is seamlessly integrated into production systems. Key responsibilities: Create machine learning algorithms to solve large scale recommendation challenges. Quickly design, test, and refine multiple hypotheses in an uncertain environment, using data analysis and business insights. Work closely with software engineers to implement successful experiments into the company's processes. Share findings and insights effectively with both technical and non technical audiences through presentations and reports. Requirements BASICQUALIFICATIONS PhD, or a Master's degree and experience in CS/CE/ML or related field research. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high performance computing. Experience programming in Java, C++, Python or related language. Experience in building machine learning models for business application. Experience in patents or publications at top tier peer reviewed conferences or journals. PREFERREDQUALIFICATIONS Experience in professional software development. Benefits Immigration support: The company provides support for your immigration process to the United Kingdom. Competitive salary: Enjoy a competitive salary package reflective of your skills and experience. Global experience: Gain international experience by working with a diverse team in a dynamic region.

Select how often (in days) to receive an alert: Package: Competitive Salary + Benefits Role ID: SF19356 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 Senior 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 Senior Scientist, you will lead and deliver advanced radar and electronic warfare research and development, helping to shape the next generation of sensing and RF technologies for defence customers. Day-to-day, you'll undertake complex technical assignments across radar and EW, providing specialist analysis, developing algorithms and models, supporting customer programmes, and guiding junior team members while working closely with industry and MOD stakeholders to deliver innovative, high-impact solutions. Your responsibilities will include: Leading and delivering complex radar and electronic warfare engineering tasks Developing and applying advanced signal processing and algorithm solutions Supporting system design, modelling, testing and performance assessment activities Working directly with customers to define requirements and present technical outputs Providing technical leadership, mentoring and guidance within the team Contributing to innovation and the development of new capabilities and business opportunities Essential experience of the Senior Scientist: Demonstrable expertise in radar and/or passive RF sensing, ideally in a defence context Experience across radar waveform design, signal processing, modelling or algorithm development Ability to lead and coordinate technical work within a specialist team Strong problem-solving skills applied to complex, non-routine technical challenges Experience working with customers and stakeholders in a delivery-focused environment Excellent communication skills with the ability to present complex technical information clearly Essential qualifications for the Senior Scientist: Degree in Science or Engineering or equivalent professional qualification Eligibility and willingness to obtain UK Security Clearance, potentially up to DV level 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. 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 willing to go through DV Clearance.

A leading AI research company in Greater London is looking for a Research Science intern. This role offers an exceptional opportunity to work at the forefront of AI and machine learning research, tackling challenging problems with a focus on explainability and trust. The ideal candidate has a strong background in machine learning, experience with research methodologies, and proficiency in Python. This internship allows for collaboration with world-class researchers while developing cutting-edge algorithms and models. A hybrid working environment is offered.

We're building a world where AI can be fully trusted; one that is reliable, accurate and transparent. Our neurosymbolic technology harnesses the power of LLMs and generative AI, and combines it with proprietary symbolic technology. We're working with companies like Lloyd's Bank, major accountancy firms and insurers to solve problems that LLMs can't: AI that is reliable and explainable. At UnlikelyAI, we're building on the frontier of research. Invention and speed are core to everything we do. The technology we develop has never existed before - and we're looking for people excited by the difficulty of our mission. The role Our Research Science internship provides an exceptional opportunity to work at the forefront of AI and machine learning research. Interns collaborate with world class researchers to tackle challenging problems and contribute to cutting edge research that shapes the future of artificial intelligence, with an emphasis on explainability and trust. See the link for more detail on our Internship Programme The programme will run from 08/06/2026 to 28/08/2026, with possibility for some flexibility. Applicants must have the right to work in the UK at the time of application. Unfortunately, we are unable to provide visa sponsorship for this role. The type of work you'll do: Conduct original research in AI/NLP, with an emphasis on explainability and trust Develop and implement novel algorithms and models Analyse experimental results and contribute to research publications Collaborate with research scientists and engineers across the organisation Present your findings to the research team and broader company What we're looking for: Strong background in machine learning, LLMs, NLP, or related fields Experience with research methodologies and experimental design Proficiency in Python Excellent communication and collaboration skills Enthusiasm for learning new technologies and approaches Why Join Us? Team -We have a world-class team of intelligent, focused, collaborative people. We're ambitious, move fast and have a lot of fun while doing it. Vision We have a huge vision for the future. This offers a unique opportunity to work on the foundational layers of AI but, unlike many other companies, we're not just scaling LLMs, we're focused on a novel neurosymbolic approach. Tech You'll work with our novel and cutting edge tech. Driving this forward involves solving some exciting challenges, so our team has the freedom to be creative and explore innovative ideas in an environment where our technology is evolving and maturing. Location We are a hybrid working company, with three days in office as our general expectation. Our Bloomsbury office is equidistant between Tottenham Court Road and Holborn stations. Equal Opportunities We are committed to having a truly diverse team where everyone is encouraged to be their authentic selves. We, therefore, do not discriminate in employment based on gender, race, religion, sexual orientation, national origin, political affiliation, disability, age, marital status, medical history, parental status or genetic information. Having a broad mix of people helps us to be the best we can.

A forward-thinking drug invention company in Greater London is seeking a Senior AI Research Scientist to develop cutting-edge AI algorithms for drug discovery. You will lead a team to model protein-ligand systems and predict molecular properties, while mentoring junior researchers. This role requires strong programming skills in Python and extensive experience with deep learning frameworks. Join a dynamic team focused on real-world applications and innovative drug development solutions. The company offers flexible working arrangements with opportunities to impact the future of medicine.

A leading drug invention company is seeking a Staff AI Research Scientist to develop cutting-edge AI algorithms for drug discovery. In this senior role, you will mentor and support a team of researchers while working closely with interdisciplinary experts. You'll design advanced machine learning techniques to predict molecular properties and contribute to translating AI research into real-world applications. The position offers flexibility with up to two remote workdays per week and the chance to make a significant impact on drug discovery.

Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent. Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers. What's the opportunity? Intercom's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Play an active role in hiring, mentoring and career development of other engineers Raise the bar for technical standards, performance, reliability, and operational excellence Identify areas where ML can create value for our customers Identify the right ML framing of product problems - Working with teammates and Product and Design stakeholders Conduct exploratory data analysis and research - Deeply understand the problem area Research and identify the right algorithms and tools - Being pragmatic, but innovating right to the cutting-edge when needed Perform offline evaluation to gather evidence an algorithm will work Work with engineers to bring prototypes to production Plan, measure & socialise learnings to inform iteration Partner deeply with the rest of team, and others, to build excellent ML products What skills might I need? 5-8 years applied ML experience Previous background in a senior/staff role (data science, software development or academic) Significant, demonstrated impact that your work has had on the product and/or the teams Experience as the primary technical leader for a team Strong communication skills, both within engineering teams and across disciplines. Comfort with ambiguity Typically have advanced education in ML or related field (e.g. MSc) Scientific thinking skills Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area - E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background We are a well treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to us! Competitive salary and equity in a fast-growing start-up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchenp> Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Open vacation policy and flexible holidays so you can take time off when you need it Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones If you're cycling, we've got you covered on the Cycle-to-Work Scheme. With secure bike storage too MacBooks are our standard, but we're happy to get you whatever equipment helps you get your job done We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organisation. We're committed to an inclusive and diverse Intercom! We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law. Interested in building your career at Intercom? Get future opportunities sent straight to your email.

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network The next step is to speak to Jack. Job Title: AI Engineer Salary: $100K-$400K + Equity Company Description: Solve Intelligence - YC-backed AI startup transforming the patent industry Job Description: Join an elite team of Cambridge, Oxford, and UCL PhDs building the future of AI-powered patent technology. As an early engineer, you will push the boundaries of LLM algorithms and agents for a platform seeing 20-30% month-over-month growth. You'll solve high-intensity technical challenges while shipping production systems to 400+ global IP teams. Location: London, UK Why this role is remarkable: Join a rocketship with 8-figure ARR and $55M in funding from premier investors including Y Combinator, 20VC, and the founders of Stripe and Perplexity. Work in an ultra-high talent density environment alongside former researchers from DeepMind and the Gatsby Unit who value raw intelligence over corporate tenure. Realize massive upside potential with a compensation package including significant equity in a profitable company disrupting a $200B+ global industry. What you will do: Design and implement state-of-the-art LLM-powered systems, agents, and evaluation pipelines to automate complex patent drafting and litigation workflows. Architect and scale robust backend infrastructure using Python and PostgreSQL to support a rapidly expanding global user base and massive document volumes. Collaborate directly with the founding team to make foundational technical decisions and ship high-impact features to production in rapid cycles. The ideal candidate: Demonstrates exceptional raw intelligence through top-tier academic performance (Olympiad medalist or first-class degree from Oxford, Cambridge, Imperial, or MIT). Possesses deep technical expertise in AI/ML, specifically with LLMs, and a track record of building production-grade systems or publishing at venues like NeurIPS. Exhibits a high-intensity builder mentality with the drive to thrive in an in-person London startup environment where shipping fast is the priority. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Step 1. Visit our website. Step 2. Click 'Talk to Jack'. Step 3. Talk to Jack so he can understand your experience and ambitions. Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role. Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. Step 6. If not, Jack will find you excellent alternatives. All for free. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

A leading creative technology firm is seeking a Large Scale Video Understanding Research Scientist. This role focuses on enhancing video generation quality and efficiency using AI through algorithms and collaborative efforts. Ideal candidates have strong engineering skills in Jax or PyTorch, and experience with large-scale VLLMs. Join us to push the boundaries of AI in a supportive environment that values creativity and innovative engineering.

# 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.