69 jobs found

Job Title: Sustainability Analyst Location: Cambridge Hybrid working (4 days office / 1 day home) Salary: £29,000 - £36,000 DOE HSE Recruitment are currently supporting a leading UK machinery distribution and after-sales business, supplying and supporting equipment used across construction, infrastructure, quarrying, agriculture, and road-building projects nationwide. This is a fantastic opportunity for a highly analytical sustainability or environmental professional (or strong graduate) looking to work across ESG data, environmental performance, quality, fleet, and health & safety within an operational business environment. There is strong Key Responsibilities: Collecting, analysing and interpreting compliance and environmental data Supporting internal ISO audits and external audit preparation Producing evidence-based reports and performance insights Supporting ESG and sustainability initiatives Driving continuous improvement across fleet, facilities and compliance functions Working cross-functionally with senior managers and directors What We're Looking For: Degree in Environmental Science, Sustainability, Engineering or similar discipline Strong analytical mindset with evidence-based approach Understanding of ISO standards and compliance frameworks Accuracy-focused and highly detail-oriented Confident working with data and producing meaningful reports Internal audit experience desirable Right to work in the UK (no time-limited visa) Open to strong graduates with the right calibre and aptitude, or candidates with some relevant experience. This role offers genuine progression opportunities into supervisory or management positions as the business continues to grow. If you're interested in learning more about this opportunity, please click Apply or get in touch directly.

We are looking for an experienced Technical Program Manager to drive the planning, execution, and delivery of complex scientific and technical programmes at Latent Labs. You will work at the intersection of our machine learning research, wet lab operations, and external partnerships, ensuring that cross-functional initiatives stay on track and deliver measurable impact. This role is ideal for someone who thrives in fast-paced, multidisciplinary environments and has a track record of bringing structure to ambitious, research-driven projects. Who we are At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind's Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology. Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites. We're looking for innovators passionate about tackling complex challenges and maximizing positive global impact. Join us on our moonshot mission. Who you are You have hands-on experience managing scientific or technical projects, with a demonstrated ability to guide programmes from planning through to delivery. You have experience working across multiple application domains, comfortable navigating between different technical disciplines and stakeholder groups. You are highly organised and detail-oriented, with a natural instinct for identifying risks, dependencies, and blockers before they become critical. You have excellent communication skills and are confident aligning diverse teams - researchers, engineers, biologists, and external partners - around shared goals and timelines. You are comfortable managing vendor relationships, holding external partners accountable to deliverables and timelines. What sets you apart (preferred but not required) You hold a BSc or above in a scientific or technical field. You have experience working in the AI for Science space, with an understanding of how machine learning is applied to scientific discovery. You have worked across more than one sector, giving you a breadth of perspective on how to deliver programmes in different organisational contexts. Your responsibilities Coordinate research roadmaps and ensure proper documentation and milestone tracking across the organisation. Manage cross-functional project timelines including wet lab validation programmes, ensuring alignment between ML research, biology, and engineering workstreams. Oversee CRO, lab vendor and collaborator relationships, holding partners accountable to deliverables, timelines, and quality standards. Maintain project management tools and ensure consistent capture of initiatives, decisions, and progress across all active programmes. Identify and escalate risks, dependencies, and blockers, working with leadership to resolve issues and keep programmes on track. Drive process improvements to enhance how the team plans, prioritises, and executes on its technical and scientific goals. Report to Senior Leadership, ensuring visibility into progress, risks and key decisions. As a member of the operations team, provide wider operational support where needed. Apply We offer strongly competitive compensation and benefits packages, including: Private health insurance Pension contributions Generous leave policies (including gender neutral parental leave) Hybrid working Travel opportunities and more We also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models. We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.

We are seeking a highly experienced Health & Safety Managerto drive safety strategy, compliance, and continuous improvement across all operational sites and field-based teams. This is a senior role with responsibility for the health, safety, and food hygiene of approximately 715 engineering, merchandising and logistics staff, across 13 depots and 2 office sites in the UK and Republic of Ireland. The successful candidate will champion a proactive safety culture, ensure compliance with all legal and operational H&S requirements, and provide leadership in training, auditing, and risk management. The role leads the development, implementation, and continuous improvement of facilities and health and safety strategies to ensure legal compliance and the promotion of a safe, efficient, and well-managed working environment for all employees across all levels of the organisation. The successful candidate will drive safety initiatives, manage regulatory requirements, deliver training programs, and foster a proactive safety culture while maintaining a workplace that supports business effectiveness and employee wellbeing. As a 24/7 food & drinks distribution and technology led powerhouse, Selecta provides millions of moments of joy to its end consumers throughout Europe. Our solutions include digital Vending Machines, Coffee Machines, Smart Fridges, Snack Markets and more. As such, we are uniquely positioned to address the needs of our clients and their consumers in the new hybrid work environment. Your Key Duties & Responsibilities: Monitor and enforce Health & Safety standards across all installation activities, including HGV operations, machine installations, relocations, and removals. Conduct risk assessments for installation and other customer movements as required, including but not limited to equipment handling, lifting operations, and vehicle-based work. Managing site access permits via customer portals, as required. Carry out regular site inspections and audits, ensuring compliance with company H&S policies and statutory requirements. Investigate accidents, incidents, and near-misses in field operations; implement corrective and preventive actions. Support and deliver toolbox talks, on-site training, and awareness campaigns for field staff. Maintain accurate H&S records, including risk assessments, incident reports, and training documentation. Provide guidance and advice to installation teams and supervisors on safe work practices, lifting equipment, manual handling, and vehicle operations. Promote a proactive safety culture among all field-based teams. Health & Safety Leadership: Own the company's Health & Safety strategy and compliance framework. Control of H&S, including Food Safety & Hygiene, across 11 depot sites and 2 Office sites (including any new site launches, closures and future relocation's.) Responsibility for the Health and Safety of Engineering, Merchandising and logistics field-based staff (circa 715 employees) To monitor, review and maintain Health and Safety policies and practices, making recommendations and implementing new policies and procedures as required. Deliver and support training programs, toolbox talks, and health & safety campaigns across all levels of the business. Assist in identifying training needs and develop, coordinate, and deliver targeted health and safety training to ensure employee awareness and compliance. Create, lead, and coordinate a Health & Safety Committee, ensuring representation from key functions and site locations, appointing and supporting local Health & Safety Champions at each depot to drive site-level engagement, compliance, and continuous improvement. Implementing and maintaining health and safety systems and procedures to meet specific requirements such as: checks, audits, investigations, risk assessments and accident reporting. This includes the Control of Substances Hazardous to Health (COSHH). To investigate, or where appropriate assisting others in investigating, the circumstances and causes of accidents and take necessary steps to prevent a recurrence. Monitor the services provided to external clients (CDM) and ensure that the team responds proactively to programme constraints. Oversee the preparation, maintenance and distribution of CDM Health and Safety files. Ensure HACCP is effective, building a 'culture' which drives Food Safety throughout all depot sites, ensuring that hygiene standards are being met. Management of food safety non compliances through hold and concession processes, including decision making with regards to Holds in accordance with PIUK standards A key communicator on Food Safety and Sanitation initiatives within the UK Own and manage the organisational Health & Safety E-learning platform, ensuring content is up to date, relevant, and aligned with legal and operational requirements. Provide regular reporting on training completion rates, compliance gaps, and user engagement to key stakeholders and senior leadership. Operational and Cross-Functional Leadership Collaborate with Operations, HR, IT, Finance, and Procurement to deliver integrated workplace solutions. Foster a proactive safety culture through internal communications, leadership engagement, and continuous improvement initiatives. Support business continuity planning, emergency preparedness, and crisis response across all locations. Monitor, report, and present on key H&S and property KPIs to leadership teams alongside group. Develop and manage H&S and property-related budgets, monitor service charges, and identify opportunities for cost savings and efficiency. Stay informed of market trends and legal developments relevant to property and facilities management or Health and Safety. Travel to sites across the UK and ROI as required. What You Bring to The Role Hold an appropriate level of membership of the Institute of Occupational Safety and Health, (e.g. IOSH Certified). Experience in driving and prioritising the H&S Agenda across business, with excellent H&S legislation knowledge Multi-site remit with UK wide travel (approx. 60% of the role involves travel) A background within FMCG desirable (Logistics/Retail Environments relevant too) Ability to set, plan and see through corrective and preventative actions, using root cause analysis Ability to manage cross functional 'Problem Solving' teams A good understanding of food safety & quality systems - including AIB/BRC, HACCP, etc Lead incident investigations and understand both hold and release processes & food safety risks. Excellent written and interpersonal skills and the ability to challenge constructively. Project management experience is desirable. Relevant professional qualification (e.g., IWFM, RICS, NEBOSH or IOSH) is advantageous but not essential. What's in it for you? 25 days of annual leave plus bank holidays Life assurance equivalent to 2x your yearly salary Five weeks of occupational paid sick leave for added security Extended leave policy for greater flexibility Free parking at our Head Office and other depot locations Unlimited coffee and tea at our offices to keep you refreshed Clear career progression paths with development opportunities Strong leadership support to help you thrive Employee recognition scheme to celebrate your contributions Mental health and wellbeing support, including access to mental health first aiders

GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off: Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organisation defined by our values; we start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion We're building the payment network of the future, and to achieve our goal, we need a diverse team with a range of perspectives and experiences. Here's where we stand: 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co founders of the Tech Zero coalition we're working towards a climate positive future. Check out our sustainability action plan here. Interested in building your career at GoCardless? Get future opportunities sent straight to your email.

Group Leaders - Human Genetics and Disease Prediction Do you want to help us improve human health and understand life on Earth? Make your mark by shaping the future to enable or deliver life changing science to solve some of humanity's greatest challenges. Join the Frontier of Human Genomics and Disease Prediction Become a Group Leader at the Wellcome Sanger Institute At the Wellcome Sanger Institute, we're rethinking how human data can be used to understand, predict and ultimately change the course of disease. We're hiring Group Leaders to join our Human Genetics Programme where large scale cohorts, longitudinal multi omics and patient data come together to power predictive models of health and disease. About the Programme Our mission is bold: to generate the datasets, build the predictive models and develop the causal understanding needed to predict, prevent and treat human disease. We design and generate large scale, longitudinal multi omic resources, tightly linked to detailed patient data, and use these to understand how genetic and environmental variation shape molecular states, trajectories and outcomes. We will use AI, machine learning, and robust causal inference methods to turn that understanding into better risk prediction, diagnosis and treatment, deriving openly accessible predictive models that are generalisable and transferable between populations and clinical contexts. The programme offers sustained core funding, large scale technology and informatics platforms and a genuinely collaborative, supportive working environment in the Cambridge-London science hub. If you're excited by our ambitious mission and want to make a bold, personal contribution to it in an environment that values diverse perspectives and inclusive collaboration, we want to hear from you. Who We're Looking For: We welcome applications from researchers with backgrounds in clinical medicine, human genetics, genomics and multi omics, epidemiology, statistics, computer science, clinical informatics and AI/ML. We are keen to hear from both clinician scientists and non clinical/basic scientists. We do not expect any individual to span all of the areas below; we are looking for depth and originality in one or more of them, together with a strong commitment to collaboration. You might, for example, have expertise in: Human genetics and multi omics for complex traits and diseases. Epidemiology and longitudinal cohort design and analysis. Electronic health records and real world data science, including phenotyping and data linkage. Causal inference and statistical methods for target and biomarker prioritisation. Development and application of AI/ML and predictive modelling methods using multi omic and clinical data. Methods and resources for diverse and under represented populations, improving equity and generalisability of prediction Statistical and computational methods, data platforms and standards that make large scale multi omic and clinical data, and the resulting models, robust and widely usable. The Wellcome Sanger Institute is located in the centre of the largest scientific and startup cluster in Europe and combines the scientific innovation of Cambridge with the business and cultural ambition of London. We care about the long term translation and impact of our research. We welcome applicants from all career stages, including those from clinical, industry, or non traditional career paths. We particularly encourage applications from women and individuals from under represented backgrounds. We believe our science is enriched by a diversity of perspectives and experiences. The Role: Faculty with vision, long term funding and scientific freedom. We are recruiting Group Leaders across all our Faculty levels. Our Group Leader positions offer access to substantial core funding, including a competitive salary and continuous internal funding that enables the pursuit of ambitious, large scale research. Faculty at the Institute are supported by outstanding scientific, technical, and operational teams, allowing them to focus on impactful research and leadership. You will have the opportunity to mentor and develop a team within a supportive and collegial environment where collaboration, well being, and inclusion are prioritised. The institute appoints faculty at three levels: Group Leader 1 (GL1): Your first or second group leader role (equivalent to Assistant Professor US / Lecturer UK). Eight year post, core funded beyond a typical ERC or R01 grant with additional access to funds for large strategic projects. Launch your vision with the freedom to innovate at scale. Group Leader 2 (GL2): Mid career (Associate Professor). Lead a growing core funded team, shape programme strategy, and drive large scale discovery. Six year post with review in year six. Group Leader 3 (GL3): Senior leadership role (Full Professor) helping to shape Sanger's long term research strategy. Ongoing tenure with six year rolling reviews. Global research leaders are encouraged to apply. Why Join Us? Substantial, Sustained Core Funding: Focus on the science that matters - not grant cycles. Launch long term, high impact research. Scale + Technology: Unmatched access to high throughput science platforms, Scientific Operations, and Informatics infrastructure. A Truly Collaborative Culture: Work side by side with leading genomics experts in an environment built for cooperation, discovery and translational impact. A Supportive, Inclusive, and Flexible Workplace: Relocation and visa support, mentorship, flexible working, family friendly policies, and a campus dedicated to well being and scientific excellence. A Global Science Hub: Benefit from the dynamic, high impact innovation landscape of Cambridge and London. Our faculty and employees benefit from flexible working options, family friendly policies, generous benefits, and comprehensive relocation support. Your application should include: A CV and a full publication list Your scientific and leadership achievements to date Your contribution to the wider research community and society, you may wish to include diversity and inclusion initiatives and public engagement events A three page outline of your future research plans indicating how these fit with the Human Genetics Programme, and the wider Institute. This should include how access to genomics at scale would transform your science. Please include a short abstract at the start of this document (no more than 250 words) summarising your plans. Please upload all documentation with your application Your application will be reviewed and considered across GL1, GL2 and GL3 faculty levels focusing on your scientific achievement, experience, and personal suitability in line with our core behavioural competencies; collaboration, communication, leadership, integrity, results driven, and innovation. Interview Process: Scientific Talks (past and future research) Panel Interview based on leadership, collaboration, and core behavioural competencies and values Stakeholder 1:1s with Group Leaders and Programme leads We understand balancing career opportunities with personal commitments can be challenging, and our process is designed to be flexible and supportive. Ready to Change How We Predict and Prevent Human Disease? Join us at the Wellcome Sanger Institute and help build the next generation of human genetic and longitudinal multi omic resources and predictive models, in an environment where your science, your judgement and your career are supported and valued. We recognise that there are many benefits to Hybrid Working; including an improved work life balance, with more focused time, and the ability to organise working time so that collaborative opportunities and team discussions are facilitated on campus. The hybrid working arrangement will vary for different roles and teams. The nature of your role and the type of work you do will determine if a hybrid working arrangement is possible. Equality, Diversity and Inclusion: We aim to attract, recruit, retain and develop talent from the widest possible talent pool, thereby gaining insight and access to different markets to generate a greater impact on the world. We have a supportive culture with staff networks for LGBTQ+, Parents and Carers, Disability and Race Equity providing support and development opportunities. These networks also give allies a space for support. We want our people to be whoever they want to be because we believe people who bring their best selves to work, do their best work. That's why we're committed to creating a truly inclusive culture at Sanger Institute. We will consider all individuals without discrimination and are committed to creating an inclusive environment for all employees, where everyone can thrive. We are proud to deliver an awarding campus wide employee wellbeing strategy and programme. The importance of good health and adopting a healthier lifestyle and the commitment to reduce work related stress is strongly acknowledged and recognised at Sanger Institute. Sanger Institute became a signatory of the International Technician Commitment initiative in March 2018. The Technician Commitment aims to empower and ensure visibility, recognition, career development and sustainability for technicians working in higher education and research, across all disciplines. . click apply for full job details

GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off:Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organization defined by our values. We start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co-founders of the Tech Zero coalition , we're working towards a climate-positive future. Check out our sustainability action plan here. At GoCardless we're committed to fostering an inclusive and high-performance culture built on trust and transparency. Interested in building your career at GoCardless? Get future opportunities sent straight to your email. To ensure you have a clear understanding of the compensation and potential growth for this opportunity, we've shared the full base salary pay range for this role. Please note, our approach is to offer salaries between the minimum and mid-point of the range. We want to manage expectations from the start, and if your application is successful you can discuss any questions around the pay range and salary with your Talent Partner.

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

A leading biotechnology firm is seeking a Research Scientist (Machine Learning) to work on innovative AI applications in drug discovery. The role involves designing novel ML models, collaborating with interdisciplinary teams, and applying deep learning to scientific problems. Ideal candidates will have a PhD in a relevant field and expertise in deep learning technologies. This position offers a hybrid working environment, emphasizing growth and collaboration in a mission-driven culture.

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.

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.

A leading wealth management business in the UK is seeking an AI Engineer to develop and deploy machine learning models, including traditional and Generative AI solutions. Candidates must possess an advanced degree and a strong foundation in machine learning, along with experience in AI/ML research. The role involves cross-functional collaboration and staying abreast of emerging tools and techniques in AI. This position offers a permanent contract and the potential to work in a rapidly evolving environment with ample opportunities for professional growth.

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

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

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.

# 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

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

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 focussed 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 accomplished leader to serve as Head of Bioinformatics for the Plant Biology Institute. This pivotal role will shape a newly established and rapidly scaling Plant Biology Institute that aspires to become a global leader in delivering scientific breakthroughs with real world impact. aspires to become a global leader in delivering scientific breakthroughs with real world impact. The successful candidate will establish and lead PBI's bioinformatics 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 products including large scale genome and transcriptome sequencing, evolutionary biology, plant and microbial genome and metabolic engineering, plant transformation, plant breeding, computer vision assisted automated phenotyping, machine learning and AI. The role will require working with other institutional stakeholders to scope, design, equip, and operate a new function within the research institute. Your Responsibilities: To lead and manage the informatics and bioinformatics function, delivering robust analytical capabilities to support the interpretation of genomic, transcriptomic, proteomic, metabolomic, phenotypic, computer vision/imaging, and other biological datasets produced by PBI researchers. To develop and implement bioinformatics strategies and workflows that support the experimental programmes of PBI. To work closely with researchers and group leads to develop and refine computational pipelines for analysing data. To recruit, lead, and mentor a team of bioinformaticians and computational biologists, building capacity in biological data analysis and interpretation. To develop and maintain pipelines for processing high throughput datasets. To ensure reproducibility, version control, and documentation for all analyses and pipelines, contributing to open science and collaborative research. To work at the cutting edge of bioinformatics methods and tools, 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. Essential Skills, Qualifications & Experience: An advanced degree in informatics, computer science, data science, bioinformatics, or a related field, with strong experience working in a research or scientific environment. Experience in building and leading informatics functions, including managing teams, developing data infrastructure, and delivering end to end informatics solutions. Proven track record of designing and implementing data systems that support large scale scientific data capture, analysis, and integration. Demonstrated ability to collaborate with multidisciplinary teams, including scientists, software engineers, and operational stakeholders, to deliver fit for purpose data tools. Strong technical expertise in: Data architecture and engineering (e.g. SQL, NoSQL, ETL pipelines), programming languages such as Python, Linux, API development and system interoperability, data governance and compliance (e.g. GDPR, security standards). Experience working within a laboratory or scientific research setting, with a strong understanding of the data needs and challenges across experimental workflows. Track record of effectively leading and developing people and teams, with a commitment to innovation, scalability, and reliability. Strong communication and stakeholder engagement skills, with the ability to translate technical solutions into strategic value for the organisation. 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.