43 jobs found

Join us at EIT: At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at . Welcome to the Plant Biology Institute: The Plant Biology Institute, headed by Professor Steve Kelly, is a key part of the Ellison Institute of Technology (EIT) Oxford. The institute aims to develop impactful and commercially sustainable solutions for improving global food production and planetary health through pioneering plant science research. The Plant Biology Institute will unite world class researchers who are focused on expanding the frontiers of plant science. Our research is focused on enhancing our ability to feed the planet while simultaneously improving the climate and ecosystem outcomes of food production. By embedding cutting edge plant science research within an organisation that is focused on solving global challenges at scale, we aim to accelerate the timeline from discovery to global impact. Areas of exploration include: Improved plant productivity, both indoors and outside. Reduced reliance on inputs including water, fertilisers, pesticides, and herbicides. Novel decarbonised plant based production platforms for food and medicines. Advanced technologies that speed up discovery and deployment in plants. Researchers will have access to state of the art laboratory and plant growth facilities and have opportunities to collaborate with experts at the forefront of research on AI, automation, and generative biology across the EIT ecosystem. They will also work with global leaders in market development, commercialisation, and impact creation. The Plant Biology Institute has long term substantial funding to support the unique scale and ambition of its vision. Your Role: We are seeking a visionary and accomplished Group Leader/Senior Group Leader in Advanced Genome Technologies to lead a transformative research programme at the forefront of plant biotechnology. This senior leadership role is integral to shaping a newly established and rapidly scaling Plant Biology Institute that aspires to become a global leader in delivering scientific breakthroughs with real world impact. The successful candidate will establish and lead a world class research programme in advanced genome technologies and/or next generation plant transformation approaches working at the cutting edge of plant biotechnology, developing new and enhanced methods for genetic manipulation, plant regeneration, and DNA/RNA delivery to plants that enable a step change in our technological ability to engineer plants. They will build and manage a high performing, interdisciplinary team, develop cross sector collaborations, and ensure research excellence is translated into commercial opportunities aligned with EIT's mission of humane and sustainable innovation. This is a rare opportunity to define the scientific direction of a next generation research hub addressing some of the planet's most pressing challenges. Your Responsibilities: Leadership: Contribute to the development and expansion of a newly established plant sciences research institute which is aiming to scale rapidly over the next 5 years to become a global leader in plant science research aimed at tackling humanity's greatest challenges. Establish, lead, and continuously evolve a flagship research programme in advanced genome technologies, with a particular emphasis on novel plant transformation, plant regeneration, and/or novel DNA/RNA delivery systems. To work with internal teams to define the path to impact for the research program. To design and execute research programs and to ensure that all research programs are value and purpose driven. To recruit and lead a top talent team of research scientists including group leaders, post docs and PhD candidates. To hire based on competency, experience and values. To manage based on clear performance targets and with accountability. To maintain a positive, engaged culture, in line with EIT Oxford values. Research designed for impact: Contribute to planning and communicating the scientific direction of the advanced genome technology program which is aimed at changing the art of the possible in plant engineering through advances in plant transformation technologies (large scale DNA delivery, targeted insertions, engineering agrobacterium, high throughput approaches and/or automation) Direct the activities of the research group by supervising some projects personally and overseeing projects delegated to group members. You will be expected to provide the intellectual energy and independent thinking necessary to lead a programme of cutting edge research and to shape the overall aims and success of the group. Drive rigorous experimental design, execution, and data interpretation, ensuring robust and reproducible scientific outcomes. Managing research program through stage gated milestones, with active, no/no go decisions based on validated research data. Designing research programmes to enable delivery requirements to be considered through development and implementation. Identifying pre emptive decisions to enable future scale up. Manage project resources - including personnel, equipment, and budgets - in coordination with the senior leadership team. Ensure research is conducted ethically and in compliance with EIT policy, regulatory guidance, and best scientific practice. To generate, maintain and manage collaborations with key teams across EIT Oxford and in the wider scientific and commercial ecosystem to accelerate the path to scientific discovery and impact. To maintain key stakeholder relationships. To work, where appropriate, with the translation team within EIT to translate the results of research into commercial opportunities consistent with EITs humane endeavours.To recognise and act on opportunities for the creation and protection of intellectual property. Essential Skills, Qualifications & Experience: Leader of research group(s) within academia or industry. Recognised thought leader in their field. Proven ability to manage scientific output for a team of PhDs/Post doctoral researchers. Experience delivering against long term strategic research programs. Experience of managing a large team of researchers and scientists including interdisciplinary workstream integration. Demonstration of commercial awareness and versatility of research that could serve a wide range of different applications. Development of partnerships with engineering, technical partners and licensees/channel partners. Project management, communication and resource allocation experience. Ability to build both internal and external relationships. Working collaboratively with others outside of their discipline. Our Benefits: Competitive salary + travel allowance + bonus Enhanced holiday + options to buy additional days Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Childcare benefit What we offer: Newly constructed, state of the art laboratories and growth facilities, core scientific and operational support, and substantial core funding. A collaborative research environment with highly skilled team working at the cutting edge of plant science to create commercially sustainable solutions that tackle humanity's biggest challenges, including enabling sustainable agriculture and improving the climate and ecosystem outcomes of food production. Opportunities for professional development including publication, conferences, IP portfolio creation, spin out generation, and leadership development.

We have an exciting opportunity for an experienced bioinformatician who is interested in working at the forefront of the gene editing (CRISPR knock out, base editing) and gene modulation (CRISPRa, CRISPRi, RNAi) fields. As a Bioinformatics Scientist / Senior Bioinformatics Scientist, you will have the opportunity to apply your strong bioinformatics background and software development skills to make key contributions in support of a wide variety of Revvity products and services including screening services, base editing research, whole genome CRISPR/RNAi reagents, and diagnostics reference standards. In this role, you will work closely with scientists, software engineers, product managers, and other bioinformaticians to support and drive cutting edge research products and services. If you are an experienced bioinformatician, are fulfilled by working on challenging problems, and enjoy being part of a vibrant team, this role is for you! Key Responsibilities Work as part of an Agile development team to develop, test, document, and support bioinformatics pipelines and tools (primarily Python with some C# and R) Help manage complex projects by gathering user requirements and breaking them into technical tasks for the team Mentor junior group members and provide high level guidance on software architecture, bioinformatics, and scientific approach to problems Provide expert feedback on new code through pull requests Drive collaboration with scientists, product managers, software engineers, and other internal stakeholders to understand and address the complex, emerging needs of our business and customers Prepare and present high quality data packages and reports to internal/external clients Help drive innovation within the bioinformatics group and company by suggesting new areas of research/development Essential Competencies & Requirements Relevant experience post PhD (or equivalent) in bioinformatics, computational biology, molecular biology, chemistry, physics, statistics, computer science, or a related field Bioinformatics expertise - experienced in using standard tools and common data sources Strong software development skills - 3+ years Python development and testing, experience creating and querying databases (e.g., PostgreSQL), advanced knowledge of Git, experience developing user facing software (command line, web app), strong familiarity with WSL (Linux) command line Able to work independently and deliver high quality results while managing multiple simultaneous projects Desirable Competencies & Requirements Experience working as part of an Agile development team, including code reviews and sprint team roles Familiarity with cloud development and resources (Azure, AWS); HPC experience a plus Experience working in Flask (or another Python web framework) and Python development tools (e.g., pyenv, poetry, tox) Experience with Docker and writing Dockerfiles and CI/CD pipelines (Jenkins, CircleCI, Azure Pipelines, etc.) Experience developing NGS analysis pipelines or familiarity with common gene and variant annotation data sources (e.g., NCBI, COSMIC) Intermediate to advanced experience developing in a language other than Python (especially R or C#)

Join us at EIT: At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionaryscientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at . Welcome to the Plant Biology Institute: The Plant Biology Institute, headed by Professor Steve Kelly, is a key part of the Ellison Institute of Technology (EIT) Oxford. The institute aims to develop impactful and commercially sustainable solutions for improving global food production and planetary health through pioneering plant science research. The Plant Biology Institute will unite world-class researchers who are focused on expanding the frontiers of plant science. Our research is focused on enhancing our ability to feed the planet while simultaneously improving the climate and ecosystem outcomes of food production. By embedding cutting-edge plant science research within an organisation that is focused on solving global challenges at scale, we aim to accelerate the timeline from discovery to global impact. Areas of exploration include: Improved plant productivity, both indoors and outside. Reduced reliance on inputs including water, fertilisers, pesticides, and herbicides. Novel decarbonised plant-based production platforms for food and medicines. Advanced technologies that speed up discovery and deployment in plants. Researchers will have access to state-of-the-art laboratory and plant growth facilities and have opportunities to collaborate with experts at the forefront of research on AI, automation, and generative biology across the EIT ecosystem. They will also work with global leaders in market development, commercialisation, and impact creation. The Plant Biology Institute has long term substantial funding to support the unique scale and ambition of its vision. Your Role: At EIT we are seeking an inspiring and strategic Senior Group Leader/Group Leader in Nitrogen Fixation to lead a flagship research programme within its rapidly expanding Plant Biology Institute. This senior leadership position offers a unique opportunity to shape the scientific and operational foundations of a world class research team dedicated to developing innovative, purpose driven solutions in biological nitrogen fixation. You will play a central role in establishing EIT's global leadership in plant science by recruiting and managing top tier talent, forging impactful collaborations, and driving translational research from lab to field. With a clear focus on scientific excellence, commercial viability, and global impact, this role is ideal for a recognised thought leader ready to pioneer transformative science aligned with EIT's values and mission to tackle humanity's greatest challenges. Your Responsibilities: Leadership: Contribute to the development and expansion of a newly established plant science institute which will scale rapidly over the next 5 years to become a global leader in plant science research aimed at tackling humanity's greatest challenges. Establish, lead, and continuously evolve a flagship research programme in biological nitrogen fixation in plants, with a particular emphasis on novel nitrogen fixing systems and advanced metabolic and protein engineering. To work with internal teams to define the path to impact for the research program. To design and execute research programmes and to ensure that all research programmes are value and purpose driven. To recruit and lead a top talent team of research scientists including post docs and PhD candidates. To hire based on competency, experience and values. To manage based on clear performance targets and with accountability. To maintain a positive, engaged culture, in line with EIT Oxford values. Research designed for impact: Contribute to planning and communicating the scientific direction of the nitrogen fixation program which is aimed at engineering biological nitrogen fixation into plants. Direct the activities of the research group by supervising some projects personally and overseeing projects delegated to group members. You will be expected to provide the intellectual energy and independent thinking necessary to lead a programme of cutting edge research and to shape the overall aims and success of the group. Drive rigorous experimental design, execution, and data interpretation, ensuring robust and reproducible scientific outcomes. Managing research program through stage gated milestones, with active, no/no go decisions based on validated research data. Designing research programmes to enable delivery requirements to be considered through development and implementation. Identifying pre emptive decisions to enable future scale up. Manage project resources - including personnel, equipment, and budgets - in coordination with the senior leadership team. Ensure research is conducted ethically and in compliance with EIT policy, regulatory guidance, and best scientific practice. To generate, maintain and manage collaborations with key teams across EIT Oxford and in the wider scientific and commercial ecosystem to accelerate the path to scientific discovery and impact. To maintain key stakeholder relationships. To work, where appropriate, with the translation team within EIT to translate the results of research into commercial opportunities consistent with EIT's humane endeavours. To recognise and act on opportunities for the creation and protection of intellectual property. Essential Skills, Qualifications & Experience: Leader of research group(s) within academia or industry. Recognised thought leader in their field. Proven ability to manage scientific output for a team of PhDs/Post doctoral researchers. Experience delivering against long term strategic research programmes. Experience of managing a large team of researchers and scientists. Project management, communication and resource allocation experience. Ability to build both internal and external relationships. Working collaboratively with others outside of their discipline. Our Benefits: Competitive salary + travel allowance + bonus Enhanced holiday + options to buy additional days Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Childcare benefit What we offer: Newly constructed, state of the art laboratories and growth facilities, core scientific and operational support, with substantial core funding. A collaborative research environment with highly skilled team working at the cutting edge of plant science to create commercially sustainable solutions that tackle humanity's biggest challenges, including enabling sustainable agriculture and improving the climate and ecosystem outcomes of food production. Opportunities for professional development including publication, conferences, IP portfolio creation, spin out generation, and leadership development.

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.

Home Jobs Trainee Research Scientist (Full Time) 10th February 2026 HistologiX is a trusted GLP & GCP compliant CRO with expertise in tissue-based biomarker analysis. We help our clients visualise and understand how their drug or device is influencing key biomarkers at the cellular and tissue level. Working collaboratively, our experienced scientific team provides a bespoke service allowing our clients to make the most of our expertise in histology, immunohistochemistry (IHC) including multiplex immunofluorescence, in situ hybridisation (ISH) & cutting edge digital image analysis (IA). The Role Due to continued growth, we are looking for a motivated Trainee Research Scientist to join our team. This is an excellent opportunity for a recent graduate or early career scientist to gain hands on experience in histology and IHC within a regulated CRO environment while receiving structured training and mentorship. You will support day to day laboratory operations while developing technical, analytical, and professional skills. You will be based in our laboratories in BioCity Nottingham during regular business hours. Key Responsibilities Undertake histology and immunohistochemistry projects. Prepare samples, reagents and documentation according to standard operating procedures (SOPs). Accurately record data and study documentation. Work to Good Laboratory Practice (GLP) and Good Clinical Practice (GCP) as well as all safety and other relevant quality standards. Manage stock. Audit and organise supplies and chemicals. Work closely with senior scientists and project teams. Contribute to the development of SOPs and continuous improvement of working practices. Training & Development Structured onboarding and on the job training. Mentorship from experienced scientists. Exposure to regulated CRO workflows and client driven studies. Opportunity to progress into a Scientist role based on performance. Requirements A degree completed in the last five years in a relevant scientific discipline. Previous experience within a laboratory role is beneficial, preferably within a GLP environment. Proficient IT skills - competent in Microsoft Word, Excel and PowerPoint. Strong administrative and organisational skills, an effective team player with the ability to work efficiently to meet defined timelines and organise own workload. Excellent written and verbal communication skills to work effectively in a cross disciplinary team. Strong attention to detail and willingness to learn. Previous laboratory experience, especially in histology or IHC, is an advantage but not essential. What We Offer Competitive trainee salary Comprehensive training and career development Supportive, collaborative working environment Exposure to real world research and regulatory science How to Apply For all our roles, a client focussed approach with strong scientific expertise is key to our business. If you are passionate about science and eager to learn in a dynamic and growing organization, we would love to hear from you!

Join us at EIT At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at . Welcome to the Plant Biology Institute The Plant Biology Institute, headed by Professor Steve Kelly, is a key part of the Ellison Institute of Technology (EIT) Oxford. The institute aims to develop impactful and commercially sustainable solutions for improving global food production and planetary health through pioneering plant science research. The Plant Biology Institute will unite world class researchers who are focused on expanding the frontiers of plant science. Our research is focused on enhancing our ability to feed the planet while simultaneously improving the climate and ecosystem outcomes of food production. By embedding cutting edge plant science research within an organisation that is focused on solving global challenges at scale, we aim to accelerate the timeline from discovery to global impact. Areas of exploration include: Improved plant productivity, both indoors and outside. Reduced reliance on inputs including water, fertilisers, pesticides, and herbicides. Novel decarbonised plant based production platforms for food and medicines. Advanced technologies that speed up discovery and deployment in plants. Researchers will have access to state of the art laboratory and plant growth facilities and have opportunities to collaborate with experts at the forefront of research on AI, automation, and generative biology across the EIT ecosystem. They will also work with global leaders in market development, commercialisation, and impact creation. The Plant Biology Institute has long term substantial funding to support the unique scale and ambition of its vision. Your Role At EIT we are seeking a visionary and accomplished Senior Group Leader/Group Leader in Yield and Photosynthesis to contribute to a transformative research programme within the rapidly growing Plant Biology Institute. This leadership role is integral to shaping a newly established and rapidly scaling Plant Biology Institute that aspires to become a global leader in delivering scientific breakthroughs with real world impact. The Group Leader will develop and lead a high performing research team focused on advancing fundamental and applied science in photosynthesis, carbon assimilation, and crop yield improvement (via any scientific approach). They will build and manage a high performing team, ensuring research excellence is translated into commercial opportunities aligned with EIT's mission of humane and sustainable innovation. Your Responsibilities Leadership Contribute to the development and expansion of a newly established plant science institute which will scale rapidly over the next 5 years to become a global leader in plant science research aimed at tackling humanity's greatest challenges. Establish and lead a research group focused on photosynthesis, carbon fixation, plant metabolism, and yield improvement - designing and executing projects that advance both foundational understanding and applied innovation. To work with internal teams to define the path to impact for the research program. To design and execute research programs and to ensure that all research programs are value and purpose driven. To recruit and lead a top talent team of research scientists including post docs and PhD candidates. To hire based on competency, experience and values. To manage based on clear performance targets and with accountability. To maintain a positive, engaged culture, in line with EIT Oxford values. Research designed for impact Contribute to planning and communicating the scientific direction of the yield and photosynthesis research programme. Direct the activities of the research group by supervising some projects personally and overseeing projects delegated to group members. You will be expected to provide the intellectual energy and independent thinking necessary to lead a programme of cutting edge research and to shape the overall aims and success of the group. Drive rigorous experimental design, execution, and data interpretation, ensuring robust and reproducible scientific outcomes. Manage research program through stage gated milestones, with active, no/no go decisions based on validated research data. Designing research programmes to enable delivery requirements to be considered through development and implementation. Identifying pre emptive decisions to enable future scale up. Manage project resources - including personnel, equipment, and budgets - in coordination with the senior leadership team. Ensure research is conducted ethically and in compliance with EIT policy, regulatory guidance, and best scientific practice. To generate, maintain and manage collaborations with key teams across EIT Oxford and in the wider scientific and commercial ecosystem to accelerate the path to scientific discovery and impact. To maintain key stakeholder relationships. To work, where appropriate, with the translation team within EIT to translate the results of research into commercial opportunities consistent with EITs humane endeavours. To recognise and act on opportunities for the creation and protection of intellectual property. Essential Skills, Qualifications & Experience Leader of research group(s) within academia or industry. Recognised thought leader in their field. Proven ability to manage scientific output for a team of PhDs/Post doctoral researchers. Experience delivering against long term strategic research programs. Experience of managing a large team of researchers and scientists including interdisciplinary workstream integration. Demonstration of commercial awareness and versatility of research that could serve a wide range of different applications (e.g. oils, pharmaceuticals, foods); Development of partnerships with engineering, technical partners and licensees/channel partners. Project management, communication and resource allocation experience. Ability to build both internal and external relationships. Working collaboratively with others outside of their discipline. Our Benefits Competitive salary + travel allowance + bonus Enhanced holiday + options to buy additional days Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Childcare benefit What we offer Newly constructed, state of the art laboratories and growth facilities, core scientific and operational support, and substantial core funding to support a research group. A collaborative research environment with highly skilled team working at the cutting edge of plant science to create commercially sustainable solutions that tackle humanity's biggest challenges, including enabling sustainable agriculture and improving the climate and ecosystem outcomes of food production. Opportunities for professional development including publication, conferences, IP portfolio creation, spin out generation, and leadership development.

Join us at EIT: At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionaryscientists, technologists, engineers, researchers, educators and innovatorsto tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at . Welcome to the Plant Biology Institute: The Plant Biology Institute, headed by Professor Steve Kelly, is a key part of the Ellison Institute of Technology (EIT) Oxford. The institute aims to develop impactful and commercially sustainable solutions for improving global food production and planetary health through pioneering plant science research. The Plant Biology Institute will unite world-class researchers who are focused on expanding the frontiers of plant science. Our research is focused on enhancing our ability to feed the planet while simultaneously improving the climate and ecosystem outcomes of food production. By embedding cutting-edge plant science research within an organisation that is focused on solving global challenges at scale, we aim to accelerate the timeline from discovery to global impact. Areas of exploration include: Improved plant productivity, both indoors and outside. Reduced reliance on inputs including water, fertilisers, pesticides, and herbicides. Novel decarbonised plant-based production platforms for food and medicines. Advanced technologies that speed up discovery and deployment in plants. Researchers will have access to state-of-the-art laboratory and plant growth facilities and have opportunities to collaborate with experts at the forefront of research on AI, automation, and generative biology across the EIT ecosystem. They will also work with global leaders in market development, commercialisation, and impact creation. The Plant Biology Institute has long-term substantial funding to support the unique scale and ambition of its vision. Your Role: At EIT we are seeking a visionary and accomplished Group Leader/Senior Group Leader in Plant Phenotyping to lead a transformative research programme at the forefront of plant biotechnology. This senior leadership role is central to shaping a newly established and rapidly scaling Plant Biology Institute with the ambition to become a global leader in plant phenotyping and data-driven plant science. The successful candidate will lead an innovative research programme focused on the development and application of next-generation plant phenotyping technologies, including automated, high-throughput, and sensor-based approaches that enable precise, scalable measurement of plant performance across indoor and outdoor environments. The successful candidate will establish and lead PBI's automated phenotyping function, delivering analytical capabilities and workflows to support PBI's trait and technology research groups. This role requires close collaboration with research scientists working across a broad range of projects including plant and plant cell culture engineering. The role will require working other institutional stakeholders to scope, design, equip, and operate a new function within the research institute. The role will drive research from foundational method development through to integrated platforms for real-world application, supporting advances in crop improvement, resilience, and productivity. The postholder will build and lead a high-performing, interdisciplinary team spanning biology, engineering, data science, and automation; establish strategic collaborations across academia, industry, and technology partners; and ensure research excellence is translated into impactful and commercially relevant solutions aligned with EIT's mission of humane and sustainable innovation. This is a rare opportunity to define the scientific and technological direction of a next-generation phenotyping programme addressing some of the most pressing challenges in global agriculture and sustainability. Your Responsibilities: Leadership: Lead and manage the automated phenotyping function, delivering robust analytical capabilities to support the interpretation whole plant, plant cell, and plant tissue culture phenotyping produced by PBI researchers. Develop and implement image and sensor-based phenotyping strategies and workflows that support the experimental programmes of PBI. Work closely with researchers and group leads to develop and refine phenotyping pipelines for analysing plants, plant cells and tissue culture. Recruit, lead, and mentor a team that can build capacity in automated phenotyping, analysis and interpretation. Develop and maintain pipelines for processing phenotyping data. Ensure reproducibility, version control, and documentation for all analyses and pipelines, contributing to open science and collaborative research. Work at the cutting edge of automated phenotyping, developing new methodologies and applications and redefining how they can be applied to accelerate discovery. Manage resources - including personnel, equipment, and budgets - in coordination with the senior leadership team. Research designed for impact: Work in close collaboration with the AIR team and EIT, to direct the activities of the research group by supervising some projects personally and overseeing projects delegated to group members. You will be expected to provide the specialist expertise, intellectual energy and independent thinking necessary to lead a programme of cutting-edge research and to shape the overall aims and success of the group developing AI and ML approaches to analysing plant image and sensor data for phenotyping. Generate, maintain and manage collaborations with key teams across EIT Oxford and in the wider scientific and commercial ecosystem to accelerate the path to scientific discovery and impact. To maintain key stakeholder relationships. Direct the activities of the research group by supervising some projects personally and overseeing projects delegated to group members. You will be expected to provide the intellectual energy and independent thinking necessary to lead a programme of cutting-edge research and to shape the overall aims and success of the group. Drive rigorous experimental design, execution, and data interpretation, ensuring robust and reproducible scientific outcomes. Managing research program through stage gated milestones, with active, no/no-go decisions based on validated research data. Designing research programmes to enable delivery requirements to be considered through development and implementation. Identifying pre-emptive decisions to enable future scale-up. Manage project resources - including personnel, equipment, and budgets - in coordination with the senior leadership team. Ensure research is conducted ethically and in compliance with EIT policy, regulatory guidance, and best scientific practice. To generate, maintain and manage collaborations with key teams across EIT Oxford and in the wider scientific and commercial ecosystem to accelerate the path to scientific discovery and impact. To maintain key stakeholder relationships. To work, where appropriate, with translational teams to translate the results of research into commercial opportunities consistent with EITs humane endeavours.To recognise and act on opportunities for the creation and protection of intellectual property. Essential Skills, Qualifications & Experience: Leader of research groups within academia or industry. Recognised thought leader in their field. Proven ability to manage scientific output for a team of PhDs/Post doctoral researchers Experience delivering against long term strategic research programs. Experience of managing a large team of researchers and scientists including interdisciplinary workstream integration. Demonstration of commercial awareness and versatility of research that could serve a wide range of different applications; Development of partnerships with engineering, technical partners and licensees/channel partners. Project management, communication and resource allocation experience. Ability to build both internal and external relationships. Working collaboratively with others outside of their discipline. Our Benefits: Competitive salary + travel allowance + bonus Enhanced holiday + options to buy additional days Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Childcare benefit What we offer: Newly constructed, state-of-the-art laboratories and growth facilities, core scientific and operational support, and substantial core funding to support a research group. A collaborative research environment with highly skilled team working at the cutting edge of plant science to create commercially sustainable solutions that tackle humanity's biggest challenges, including enabling sustainable agriculture and improving the climate and ecosystem outcomes of food production click apply for full job details

At UnlikelyAI, we're looking for a Senior Applied Scientist to join our Applied Science team. This is a high-impact individual contributor position. You'll help drive the end-to-end lifecycle of projects: from identifying opportunities in literature, through proof-of-concept, to real-world production. Your work will sit at the cutting edge of Machine Learning and reasoning systems, with a particular focus on neurosymbolic AI, complex planning, and fully explainable architectures. Why Join Us? Team - You'll join a world-class group of smart, collaborative people who are deeply motivated by challenge. We move fast, support each other, and genuinely enjoy the ride. Vision - Our mission is to build a novel neurosymbolic AI framework that unlocks new frontiers in explainability and reasoning - and you'll be instrumental in shaping that. Tech - Our technology is truly novel. You'll get the chance to explore original ideas, tackle unsolved problems, and help define new best practices in an environment where creativity and rigour go hand in hand. What You'll Do: Convert cutting-edge research in neurosymbolic AI into real, production-grade language generation systems. Design and experiment with hybrid neurosymbolic architectures that challenge current thinking in reasoning and planning. Lead applied research projects end-to-end: from ideation and literature review to prototyping and deployment. Write high-quality, robust code that integrates neural and symbolic components. Collaborate with a team of scientists and engineers, articulating complex ideas clearly to technical and non-technical audiences. Analyse and inspect large-scale datasets to support neural training and symbolic extraction. What We're Looking For: Deep learning expertise with significant industry experience, and c. 2+ years applying it to language generation, including working with Large Language Models, neurosymbolic integration and knowledge representation. Experience with Python and common ML Frameworks like Pytorch, HF Transformers, Tensorflow, JAX. Track record working as an independent contributor capable of end-to-end development with demonstrable experience in utilising and deploying transformer models. Deep knowledge of machine learning fundamentals and cloud experience. Enthusiasm to learn and get up to speed with cutting-edge technologies which you may not already be deeply familiar with. Excellent verbal and written communication skills with a proven track record of mentoring and coaching others. Capable of working collaboratively and proactively in a fast-paced environment with scientists, engineers, and non-technical stakeholders. Desirable: Use of Python libraries that encourage best practices such as pytest, pylint, black etc. Experience with symbolic reasoning engines and integration with neural networks. Strong technical writing skills as evidenced by relevant publications or blogs. Start-up experience. Git/Github Proficiency working with cloud platforms for deploying hybrid AI systems. Location: We are currently operating a hybrid scheme with a small office near Holborn tube station available to anyone who wants to work there. We also have occasional team days where everyone meets face to face and days where people work heads down from home, communicating with colleagues using Slack and Zoom. Compensation: Compensation will be through salary and generous share options. The company has a tax-efficient EMI share option scheme set up (not available to larger companies) which allows us to provide real exposure to the success of the company without taxes being due when they are paid. 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.

Toshiba Europe Ltd have been at the forefront of research in quantum technology, particularly quantum communications and quantum key distribution (QKD) for the past two decades. During this time they have made many breakthroughs, such as record high quantum communication bit rates, seamless classical-quantum network integration and the invention of new approaches for record long distances. Recently, Toshiba launched a new business unit to commercialise research outcomes and Toshiba QKD systems are now deployed in telecommunication networks across the world. We invite applications for a Research Scientist (or Senior Research Scientist, depending on experience) position at the Cambridge Research Laboratory, working in the area of next-generation fibre optic quantum communication systems with significantly enhanced performance and new functionality, including new protocols such as Twin Field QKD (TF QKD). The successful candidate will join a dynamic team and play a leading role in developing new quantum communication technologies, leveraging ideas across the fields of quantum, optics, electronics and communications to design, conduct and analyse frontier quantum experiments. Research outcomes will be published in leading academic journals and presented at international conferences, alongside technology transfer to Toshiba's quantum business division. Responsibilities Devising new schemes and building prototypes for quantum communications, QKD, TF QKD and quantum networking Building optical systems including lasers, modulators, detectors, optical fibres etc. and interfacing with high speed RF electronics Designing and implementing software to control experimental set ups and to simulate optical/quantum systems Interfacing with other team members to coordinate supporting high speed RF electronics and programmable logic (FPGA) Mentoring PhD students and junior staff Analysing experimental data, writing scientific papers, and delivering technical presentations, internally and internationally Communicating with collaborators in the UK, Europe and Japan Skills & Experience - Essential PhD in Physics, Electronic Engineering or related discipline Several years of hands on research experience in optical and/or quantum systems Proven competence developing experimental setups using optical and electronic hardware Track record of impactful research in photonic/quantum systems or devices Deep knowledge of optics, fibre optics and electronics Good communication skills, both written and verbal Enthusiasm to learn new skills and pursue new knowledge, and a self starter team player mindset Skills & Experience - Desirable Knowledge and experience of quantum technologies, especially QKD Understanding of optical communications, networking and/or cryptography Competence in one or more software programming languages (e.g. Python) and version control platforms (e.g. git) Electronics design experience (e.g. PCB design / FPGA development)

At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionaryscientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at . Welcome to the Pathogen Project: Within this ecosystem, the Pathogen Project exemplifies EIT's dedication to ground-breaking science. It seeks to transform pathogen risk management, detection and response by leveraging Whole Genome Sequencing (WGS)-based metagenomic and pathogen-specific analytical tools. The goal is to power metagenomic devices using long-read sequencing technologies by building a comprehensive database of pathogen information to inform response. Enabled by Oracle Inc.'s cloud-computing scale and security, the Pathogen Project is advancing toward certified diagnostic tools for deployment in laboratories, hospitals, and public health organisations worldwide. Your Role: At EIT, we're seeking an experienced and detail orientated Senior Scientist, Biotechnology, to contribute to the early stage development of a device based metagenomic pathogen detection platform within EIT Oxford's Pathogen Programme. This work focuses on establishing proof of concept for a modular workflow enabling infectious disease diagnosis at or near the point of care. In this laboratory based role, you will design and execute hypothesis led experiments to interrogate and iteratively refine nucleic acid extraction, purification, and manipulation workflows within a fluidic device architecture. You will apply quantitative characterisation, controlled comparisons, and mechanistic insight to drive system level improvements and systematically reduce technical uncertainty through disciplined, evidence based experimentation. You will bring strong expertise and demonstrable experience developing nucleic acid handling or enzyme based systems. Experience with surface chemistry, microfluidic environments, polymer or material interfaces, or low input nucleic acid workflows is advantageous. You should be comfortable operating in an exploratory, data driven research environment, using structured experimentation, quantitative analysis, and rapid, evidence guided iteration to navigate ambiguity and progress early stage technology development. Key Responsibilities: Designing and executing statistically robust, hypothesis-driven experiments with appropriate controls to isolate key variables and generate reproducible, decision informing data. Applying structured experimental design approaches (e.g. factorial design, parameter sweeps, sensitivity analysis) to systematically explore design space and identify critical performance drivers. Investigating the physicochemical principles underlying nucleic acid adsorption, elution, surface interactions, and partitioning within device materials and reagent systems. Characterising enzyme-substrate interactions under non ideal conditions, including the effects of inhibitors, ionic strength, crowding, and surface chemistry on catalytic efficiency and fidelity. Developing and applying quantitative analytical frameworks to define performance metrics, establish baselines, and guide iterative optimisation across workflow stages. Systematically identifying sources of variability and technical risk, quantifying their impact, and prioritising mitigation strategies based on experimental evidence and expected effect size. Translating mechanistic findings into clear design recommendations that inform workflow architecture, reagent formats, surface treatments, and fluid handling strategies during iterative prototype development. Working closely with engineers to align biochemical and chemical requirements with device design constraints and integration priorities. Essential Knowledge, Skills and Experience: PhD (or equivalent experience) in Biochemistry, Chemistry, Chemical Biology, Bioengineering, Biotechnology, or a closely related discipline. Deep expertise in characterising biomolecular systems, including quantitative analysis of enzyme kinetics, binding interactions, and nucleic acid chemistry under non ideal or constrained conditions. Demonstrated ability to design controlled experiments that distinguish mechanistic effects from artefact in complex, multi variable systems. Experience with surface functionalisation and bioconjugation strategies, including immobilisation of polynucleotides, enzymes, antibodies, or other biomolecules onto solid supports or device relevant materials. Strong understanding of nucleic acid purification, separation, and manipulation, including the chemical principles governing adsorption, elution, and stability. Hands on experience in assay development and analytical method development using quantitative performance criteria, reproducibility standards, and data driven decision making. Desirable Knowledge, Skills and Experience: Experience quantifying non nucleic acid chemical species (e.g. inhibitors, contaminants, residual reagents) within multi step laboratory workflows. Demonstrated ability to interrogate the physicochemical behaviour of polynucleotides, enzymes, and related analytes within complex or miniaturised systems. Familiarity with library preparation chemistries and sequencing workflows, including Oxford Nanopore and other next generation sequencing platforms, with awareness of upstream chemical constraints affecting downstream performance. Experience working with microfluidic systems, polymer interfaces, or material-biomolecule interactions. Key Attributes: Scientific and Technical Expertise Proven ability to design, implement, and troubleshoot bioconjugation and surface based assays within integrated workflows. Experience quantifying and mitigating chemical carryover, inhibitory species, or cross contamination in complex, multi stage processing systems. Familiarity with biosafety practices and sterile technique for handling human derived or high pathogen environmental samples. Evidence of innovation and technical leadership in early stage technology development (e.g. patents, publications, translational research contributions, or commercial product development). Team Working and Project Management Ability to define experimental workstreams, set measurable technical objectives, and deliver clear outputs aligned with programme milestones. Experience communicating quantitative and mechanistic findings in a manner that informs engineering and architectural decisions. Demonstrated cross disciplinary collaboration across biology, chemistry, engineering, data science, or related fields. Soft Skills Strong analytical and problem solving mindset with a disciplined, evidence led experimental approach. Excellent verbal and written communication skills for technical and non technical audiences. Ability to prioritise work based on impact, manage multiple parallel investigations, and operate effectively in a rapidly evolving research environment. Our Benefits: Salary: Competitive + travel allowance + bonus Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Working Together - What It Involves: You must have the right to work permanently in the UK with a willingness to travel as necessary. In certain cases, we can consider sponsorship, and this will be assessed on a case by case basis. For this role we would expect someone to be fully on site in Oxford You will live in, or within easy commuting distance of, Oxford (or be willing to relocate).

Salary for this Role: SLRS: From £45,700 per annum with benefits, subject to skills and experiencePLRS: From £55,555 per annum with benefits, subject to skills and experience Job Title: Senior/Principal Laboratory Research Scientist Reports to: Albane Imbert Closing Date: 13/Mar/.59 GMT Job Description: Senior/Principal Laboratory Research Scientist - Making Lab Science Technology Platform Reporting to: Head of Making Lab STP Contract term: This is a full-time permanent position on Crick terms and conditions of employment. Salary for this Role: Senior Laboratory Research Scientist: From £45,700 with benefits, subject to skills and experience Principal Laboratory Research Scientist: From £55,555 with benefits, subject to skills and experienceThe Francis Crick Institute is Europe's largest biomedical research institute under one roof. Our world-class scientists and staff collaborate on vital research to help prevent, diagnose and treat illnesses such as cancer, heart disease, infectious diseases and neurodegenerative conditions.The Crick is a place for collaboration, innovation and exploration across many disciplines. A space where the brightest minds can pursue big and bold ideas and discover answers to crucial scientific questions. We support them in a dynamic environment which fosters excellence with state-of-the-art infrastructure, cutting-edge facilities, and a creative and curious culture. We've removed traditional boundaries of departments, divisions and disciplines and instead have an open approach that supports every researcher. This gives us the freedom to take risks and carry out high-quality, pioneering research. Creating a space for discovery without boundaries helps us to turn our science into benefits for human health and the economy. About the Making Lab The Making Lab is a Science Technology Platform (STP) operating at the interface of engineering and biology. We accelerate biomedical discovery by designing and delivering advanced engineering solutions to complex scientific challenges.We collaborate across Neuroscience, Structural Biology, Cancer, Immunology and Bioengineering. Our expertise lies in Systems Engineering and Microfluidics & Tissue Engineering. We build robotics, automation platforms, sensing systems and integrated hardware-software tools that power cutting-edge research.As part of the global Making in Research movement, we champion open hardware, rapid prototyping and reproducible system design to drive innovation in science. About the role We are seeking an experienced engineer to join the Making Lab team at Senior (SLRS) or Principal (PLRS) level.This is a hands-on technically demanding role focused on leading the development of robotics, automation and integrated hardware-software systems for biomedical research. You will take ownership of the full project lifecycle, from initial technical scoping and system architecture through electronic hardware integration, embedded and software development, testing, validation and final deployment.Projects span bespoke instrumentation and complex real-time experimental platforms, delivered in close collaboration with neurophysiology groups and teams developing advanced automated lab systems.You will operate within state-of-the-art facilities, including dedicated electronics and integration spaces alongside a workshop for digital and conventional manufacturing (CNC, laser machining, additive manufacturing). At Principal level, you will also contribute to management and long-term technical strategy, infrastructure development and platform planning for the Systems Engineering activity. For more details on the type of projects developed at the lab: What you will be doing You will be responsible for: Leading end-to-end development of bespoke hardware-software systems. Designing and integrating control systems, robotics platforms and data acquisition interfaces. Developing microcontroller-based systems, PCBs and sensor integrations. Applying structured systems engineering methods. Using version control, testing frameworks and clear documentation standards. Providing expert input on experimental design, feasibility and system architecture. Mentoring engineers and deliver hands-on technical training to researchers. Contributing to publications and disseminating technical resources. At principal level, contributing to platform strategy, infrastructure planning and capital investment. About you You will have:(Minimum criteria for SLRS & PLRS )(Minimum criteria for PLRS ) Essential: Degree, PhD or equivalent experience in Engineering, Robotics, Electronics, Mechatronics or related field. Significant hands-on experience in system design and hardware-software integration. Strong programming skills in Python and C within Linux environments. Experience developing control systems, automation platforms or experimental instrumentation. Expertise in microcontrollers, PCB design and sensor integration. Strong understanding of testing, reproducibility and structured engineering workflows. Comfortable leading multidisciplinary technical projects. Skilled communicator with the ability to convey technical concepts clearly to diverse scientific audiences. Desirable: Experience at the engineering-biology interface. Knowledge of signal processing, imaging systems or biomedical instrumentation. Experience with digital fabrication, including CNC machining, 3D printing or laser cutting. About Working at the Crick Our values Everyone who works at the Crick has a valuable role to play in advancing the Crick's mission and shaping our culture! We are bold . We make space for creative, dynamic and imaginative ideas and approaches. We're not afraid to do things differently. We are open . We're highly collaborative and interactive, and make sure our activities are visible to the outside world. We are collegial . We show respect for one another, work cooperatively and support the wider community.At the Francis Crick Institute, we believe that diversity and inclusion are essential to driving innovation and scientific discovery. We are committed to creating a workplace where everyone feels valued, respected, and empowered to succeed, regardless of their background, identity, or personal circumstances. We actively encourage applications from individuals of all genders, ethnicities, abilities, and experiences. We are a Disability Confident: Committed employer and want to ensure that everyone can apply and be part of our recruitment processes and so we'll make reasonable adjustments if you need them - just let us know when you apply. If you need assistance with applying (i.e., would like to apply by phone or post)please email: the Francis Crick Institute, we value our team members and are proud to offer an extensive range of benefits to support their well-being and development: Visas: Applicants for this role will be eligible for sponsorship to work in the UK Generous Leave : 28 days of annual leave, plus three additional days over Christmas and bank holidays. Pension Scheme : Defined contribution pension with employer contributions of up to 16%. Health & Well-being : 24/7 GP consultation services. Occupational health services and mental health support programs. Eye care vouchers and discounted healthcare plans. Work-Life Balance : Back-up care for dependents. Childcare support allowance. Annual leave purchase options. Crick Networks offering diverse groups' support, community and inclusive social events. Perks : Discounted gym memberships, bike-to-work scheme, and shopping discounts. Subsidised on-site restaurant and social spaces for team interaction. Career support: A Post-doc to PI programme

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.

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.

Company Description Join the team redefining how the world experiences design Hiya, g'day, mabuhay, kia ora, 你好, hallo, vítejte! Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. Where and how you can work The buzzing Canva London campus features several buildings around beautiful leafy Hoxton Square in Shoreditch. While our global headquarters is in Sydney, Australia, London is our HQ for Europe, with all kinds of teams based here, plus event spaces to gather our team and communities. You'll experience a warm welcome from our Vibe team at front of house, amazing home cooked food from our Head Chef and a variety of workspaces to hang out with your team mates or get solo work done. That said, we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals and so you have choice in where and how you work. Job Description At Canva, our mission is to empower the world to design. We're building AI that feels magical and lands real impact for millions of people - helping anyone create with confidence. We're looking for a senior research scientist who lives and breathes reinforcement learning, agentic systems and mixture of expert models to push the frontier of reasoning, tool use, latency and reliability - and ship it to users. About the team We explore multimodal agentic architectures, build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. We are a cutting-edge post-training team, developing new multimodal agentic systems. We work on all topics of multimodal modelling, post-training and design agents, we build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. We are looking for a person with experience in post-training, reinforcement learning (RL) and mixture of expert models to join our team. About the role You'll drive research directions and play a leading role in hands on work across the agent stack-from reward design and policy optimization to planning, memory, and tool orchestration, dataset construction, to post-training, and the development of novel post-training approaches. You'll design tight experiments, iterate quickly, and land trustworthy conclusions. Most importantly, you'll help convert research into reliable, safe, and high quality product experiences. What you'll do Develop agent systems (planning, multimodal tool use, retrieval, novel training approaches, modeling ablations) for real tasks in design, vision, and language. Scale post-training and RL across distributed systems (PyTorch) with efficient data loaders, tracing/telemetry, stable training of mixture-of-experts (MoE) architectures, and reproducible pipelines; profile, debug, and optimize. Contribute to the research agenda for RL/agentic systems aligned with Canva's product goals; identify high leverage bets and retire dead ends quickly. Build reward models and learning loops: RLHF/RLAIF, preference modeling, DPO/IPO style objectives, offline/online RL, curriculum learning, and credit assignment for multi step reasoning. Develop simulation and sandbox tasks that surface failure modes (planning errors, tool use brittleness, hallucination, unsafe actions) and turn them into measurable targets. Help align on rigorous evaluation for agents (task success, reliability, latency, safety, regressions). Stand up offline suites and online A/B tests; favor simple, controlled experiments that generalize. Collaborate and ship: work shoulder to shoulder with product, design, safety, and platform to land research as reliable features-then iterate. Share and elevate: mentor teammates, present findings internally, and contribute back to the community when it helps the field and our users. You're likely a match if you have Depth in implementing and post-training MoEs/LLMs/VLMs/Diffusion models, with a track record of shipped research or publications in MoEs, RL or agents. Experience modifying, and adapting open source models. Strong experience with experimental design: tight baselines, clean ablations, reproducibility, and clear, data backed conclusions. Fluency in Python and PyTorch; you're comfortable in large ML codebases and can profile, debug, and optimize training and inference. Practical experience building agent loops (planning, tool invocation, retrieval, memory) and evaluating multi step reasoning quality. Hands on experience with policy optimization, reward modeling, and preference learning (e.g., RLHF/RLAIF, DPO/IPO, actor critic/PPO, offline RL). Experience with large scale training (distributed training, experiment tracking, evaluation harnesses) and cloud multimodal tooling. Experience with RL for MoE architectures. Nice to have Experience with video and audio modelling. Experience with multi agent settings. Strength in alignment and safety evaluations, including red teaming and risk mitigation for tool using agents. Contributions to open source, benchmarks, or shared evaluation suites for agents. Additional Information What's in it for you? Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a range of benefits to set you up for every success in and outside of work. Here's a taste of what's on offer: Equity packages - we want our success to be yours too Inclusive parental leave policy that supports all parents & carers An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally Check out for more info. Other stuff to know We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. We celebrate all types of skills and backgrounds at Canva so even if you don't feel like your skills quite match what's listed above - we still want to hear from you! Please note that interviews are conducted virtually.

# 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

The Applications team within R&D supports Lubrizol through the invention and synthesis of new speciality-chemicals and technical support of existing products. We are looking for a motivated scientist to join our Applications team and work in a laboratory and use their technical expertise to evaluate new additives in composites materials by interpreting and analysing analytical and performance data. The ideal candidate will have experience working in an application laboratory evaluating new materials. This role is based at Hexagon Tower, Blackley Manchester located in a suburban setting, four miles from Manchester City Centre, UK. Salary competitive dependent upon skills and experience, plus excellent benefits. In this role you will: Be a scientist leading the evaluation of composite materials, developing your own ideas for analysis and proposing new test methods for mechanical testing experiments. Be "hands on" in the laboratory formulating new composite materials, moulding and curing coupons then undertaking physical testing. Decide how testing should proceed using logic, experience, and creativity to meet agreed timelines. Manage laboratory assets and keep equipment serviced and calibrated, develop good relationship with suppliers to ensure best practice in instrumentation. Be part of a wider research team support the laboratory initiatives and follow safe laboratory practices Document, interpret and communicate results to colleagues and internal project sponsors. Attend industry conferences and present scientific data when relevant Travel to other countries may be important for developing regional labs. The ideal candidate will have: PhD in materials science or related discipline. BSc or equivalent in chemistry with five years experience in a materials testing laboratory Ability to apply scientific understanding to experiment planning Good communication, team working and interpersonal skills, to be successful in a multidisciplinary environment Good project management skills, with experience of managing multiple projects to deadlines Good IT skills especially a knowledge of data science tools Job Segment: Research Scientist, Materials Science, Senior Scientist, Chemistry, Laboratory, Science