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Introduction At Gallagher Re, we bring clarity to complexity by helping clients around the world make confident, data-driven decisions in a rapidly evolving risk landscape. Here, you’ll be part of a team that leverages world-class analytics and deep reinsurance expertise to deliver strategic advisory services and transactional excellence. Together, we transform advanced insights and market intelligence into strategies that protect businesses, drive performance, and shape the future of reinsurance. We’re a community of decision makers, future shapers, and trusted experts working side by side to deliver meaningful impact through innovative thinking and practical solutions. At Gallagher Re, your curiosity is welcomed, your growth is championed, and your work truly matters. This is a place where you'll have the freedom to explore new ideas, take ownership of your career, and collaborate with people who are as driven and inquisitive as you are. Overview Gallagher Re – Senior CAT Analyst – Property Research Team – EARTHQUAKE The Company: Gallagher Re • At Gallagher Re we help ensure our clients have the right protection in place so when the unexpected happens it is not catastrophic for their business., • We think of ourselves as enabling resilience in an uncertain world., • We look at the world of risk from different perspectives, working with our clients at each stage of the risk identification, risk mitigation and risk transfer process., • We make sure they have the capacity to react to extreme events and respond in a prepared, disciplined and organized fashion. The team: Property Research • The Gallagher Re Property Research team supports our global reinsurance operation by developing our in-house view of risk in the form of natural catastrophe peril advisory, catastrophe model evaluation and our network of academic research partnerships., • Our team collaborates with brokers, clients, and industry partners to enhance property risk quantification, develop innovative risk management solutions and evaluate third party catastrophe models., • The individual we are seeking would be a senior member of the team, leading catastrophe modelling evaluation, development and risk assessment projects worldwide. How you'll make an impact • Act as a senior risk advisor to our clients, working closely with broking teams to interpret and present earthquake model results across multiple regions, • Lead catastrophe model research and evaluation projects, working with the team to provide best-in-class vendor model validation reports supported by detailed evidence, • Lead catastrophe model development projects, including but not limited to probabilistic models, hazard layers, parametric solutions, • Develop novel ideas to deliver bespoke risk solutions to clients, • Stay abreast of and contribute towards the latest research on relevant topics from the scientific literature, • Project manage multiple multi-week to multi-year research and model development projects, frequently to tight deadlines, • Effectively communicate with team members, business-units, brokers and clients, • Collaborate with model vendor experts to understand their new models or updates, and compare / contrast choices made between model vendors, • Liaise with offices and teams world-wide and participate in business-travel as required, • Coordinate with academic partners to ensure academic partnerships meet both the technical and commercial requirements of Gallagher Re, • Present at industry and academic conferences, • Provide guidance to junior specialists of the team to undertake model development, model evaluation and adjustment projects. Develop these colleagues to ensure their work is of the highest quality and answers the commercial questions asked by our clients and internal stakeholders. About You • PhD in earthquake risk, earthquake engineering, seismology or similar, • Advanced knowledge of programming in R, Python, SQL or equivalent including experience in visualization and analysis of spatial datasets, • Excellent written and oral communication skills, • Team player with strong analytical skills and keen attention to detail, • An understanding of (re)insurance and catastrophe risk management, • An understanding of vendor catastrophe models and the differences between them, • Some years of experience in the insurance/reinsurance industry, preferably in cat model development or evaluation, • Eligibility to work in the UK Compensation and benefits On top of a competitive salary, great teams and exciting career opportunities, we also offer a wide range of benefits. Below are the minimum core benefits you’ll get, depending on your job level these benefits may improve: • Minimum of 25 days holiday, plus bank holidays, and the option to ‘buy’ extra days, • Defined contribution pension scheme, which Gallagher will also contribute to, • Life insurance, which will pay 4x your basic annual salary, which you can top-up to 10x, • Income protection, we’ll cover up to 50% of your annual income, with options to top up, • Health cash plan or Private medical insurance Other benefits include: • Three fully paid volunteering days per year, • Employee Stock Purchase plan, offering company shares at a discount, • Share incentive plan, HMRC approved, tax effective, stock purchase plan, • Critical illness cover, • Discounted gym membership, with over 3,000 gyms nationally, • Season ticket loan, • Access to a discounted voucher portal to save money on your weekly shop or next big purchase, • Emergency back-up family care, • And many more… We value inclusion and diversity Inclusion and diversity (I&D) is a core part of our business, and it’s embedded into the fabric of our organisation. For more than 95 years, Gallagher has led with a commitment to sustainability and to support the communities where we live and work. Gallagher embraces our employees’ diverse identities, experiences and talents, allowing us to better serve our clients and communities. We see inclusion as a conscious commitment and diversity as a vital strength. By embracing diversity in all its forms, we live out The Gallagher Way to its fullest. Gallagher is Disability Confident Committed. We have pledged to make sure our recruitment process is inclusive and accessible, in addition to supporting our existing employees with any long-term health conditions or disabilities. We understand that applicants may have disabilities, if you do, you may find some parts of the recruitment process more challenging than others. Don’t worry, we’re here to help, however, we can only do this if you let us know. Should you require reasonable adjustments to your application, please get in touch with _ . If you’d prefer to speak on the phone, please request a call back, leaving details, so we get in touch. Our employing entity, Arthur J. Gallagher Services (UK) Limited, is proud to be accredited as a Living Wage employer with the Living Wage Foundation. We are committed to diversity and opportunity for all and are opposed to any form of less favourable treatment on the grounds of gender or gender identity, marital status, civil partnership status, parental status, race, ethnicity, colour, nationality, disability, sexual orientation, religion/ belief, age and those with caring responsibilities. Gallagher believes that all persons are entitled to equal employment opportunity and prohibits any form of discrimination by its managers, employees, vendors or customers based on race, color, religion, creed, gender (including pregnancy status), sexual orientation, gender identity (which includes transgender and other gender non-conforming individuals), gender expression, hair expression, marital status, parental status, age, national origin, ancestry, disability, medical condition, genetic information, veteran or military status, citizenship status, or any other characteristic protected (herein referred to as “protected characteristics”) by applicable federal, state, or local laws. Equal employment opportunity will be extended in all aspects of the employer-employee relationship, including, but not limited to, recruitment, hiring, training, promotion, transfer, demotion, compensation, benefits, layoff, and termination. In addition, Gallagher will make reasonable accommodations to known physical or mental limitations of an otherwise qualified person with a disability, unless the accommodation would impose an undue hardship on the operation of our business.

Join IQVIA on our mission to accelerate innovation for a healthier world! IQVIA UK’s cFSP (sponsor-dedicated) team is growing and seeking experienced Clinical Research Associates in South East England. Why IQVIA? Career development opportunities to grow as we grow AI-powered career advancement through our internal talent marketplace, Career Connections Mentorship opportunities across the organisation via Employee Resource Groups Flexible working to assist work–life balance and professional success Well-being support covering your physical, mental, and financial health Awards 2026 "Glassdoor Best Place to Work in the UK" #1 in category - 2026 Fortune World’s Most Admired Companies list (for the FIFTH consecutive year!) Brandon Hall Excellence Award for Learning & Development Responsibilities Perform site monitoring visits (selection, initiation, monitoring and close-out visits) in accordance with contracted scope of work and regulatory requirements, i.e., Good Clinical Practice (GCP) and International Conference on Harmonization (ICH) guidelines Work with sites to adapt, drive, and track subject recruitment plan in line with project needs to enhance predictability Administer protocol and related study training to assigned sites and establish regular lines of communication with sites to manage ongoing project expectations and issues Evaluate the quality and integrity of study site practices related to the proper conduct of the protocol and adherence to applicable regulations. Escalate quality issues as appropriate Manage the progress of assigned studies by tracking regulatory submissions and approvals, recruitment and enrollment, case report form (CRF) completion and submission, and data query generation and resolution. May support start-up phase Ensure copies/originals (as required) site documents are available for filing in the Trial Master File (TMF) and verify that the Investigator's Site File (ISF) is maintained in accordance with GCP and local regulatory requirements Create and maintain appropriate documentation regarding site management, monitoring visit findings and action plans by submitting regular visit reports, generating follow-up letters and other required study documentation Collaborate and liaise with study team members for project execution support as appropriate Requirements Requires 2 years independent on-site monitoring experience of interventional studies Experience across start-up, enrolment, maintenance, close-out Digital literacy, including confidence using AI tools in a professional setting Degree in scientific discipline / health care or equivalent industry experience Good knowledge of, and skill in applying, applicable clinical research regulatory requirements i.e., Good Clinical Practice (GCP) and International Conference on Harmonization (ICH) guidelines Ability to establish and maintain effective working relationships with coworkers and clients Full UK right to work required, this position is not eligible for visa sponsorship Apply today and forge a career with greater purpose, make an impact, and never stop learning! #LI-ADAMTHOMPSON IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

Head of Science, Environmental, Hybrid, London, COR7597 Ready to lead scientific innovation in climate solutions? Looking to influence strategy at a senior level while shaping commercially viable science? The Role The Head of Science will take ownership of scientific direction across a growing organisation focused on large-scale environmental impact. As Head of Science, you will guide senior speciali... ZIPC1_UKTJ

Chemistry Academic Mentor Haringey September 2026 This high-achieving secondary school with sixth form in the London Borough of Haringey is rated Good by Ofsted and is recognised for its strong Science provision, specialist Chemistry teaching, and genuine commitment to ensuring every pupil achieves their full potential in one of the most demanding and rewarding scientific disciplines. The school ... ZIPC1_UKTJ

Physics Academic Mentor Haringey September 2026 This high-achieving secondary school with sixth form in the London Borough of Haringey is rated Good by Ofsted and is recognised for its strong Science provision, specialist Physics teaching, and genuine commitment to ensuring every pupil reaches their full potential in one of the most intellectually challenging and rewarding scientific disciplines.... ZIPC1_UKTJ

Science Teacher Haringey September 2026 A high-achieving secondary school with sixth form in Haringey is seeking a passionate and knowledgeable Science Teacher to join their well-regarded Science faculty from September 2026. This is a contractual Science Teacher role on a term-time basis within a school rated Outstanding by Ofsted, known for its ambitious scientific curriculum, strong examination... ZIPC1_UKTJ

Are you a portfolio GP with a passion for lifestyle medicine and preventative care? Zest Scientific is proud to partner with an innovative private healthcare provider that is transforming health assessments through proprietary technology and next-generation diagnostics. With a focus on cardiovascular and dermatological health, these high-end clinics offer a proactive, patient-first model — delivering personalised care in a premium setting. The Candidate: • You are both GMC registered and MRCGP qualified., • You thrive in a people-first environment, passionate about offering the highest quality service to each and every person you see., • Passionate about driving technological innovation in healthcare with an interest in lifestyle medicine., • A team player who ‘buys in’ to a wider company culture and how their actions impact on wider cohesion and success., • Prepared to cover a minimum of two shifts per week. In addition to the day clinic (08:30-15:15), you will cover one weekly twilight shift (15:00–21:30). The Role: • You will play a central role; ensuring patients have a smooth and memorable experience., • Working as part of a wider clinical team, you will assess the personal assessment results and provide meaningful explanations in a lifestyle medicine debrief., • You will work with the patients to create personalised holistic plans to improve health outcomes., • Collaborate with multidisciplinary team to ensure improved patient care., • Salaried role offering full-time or part-time employment. The Company: • Innovative health-tech organisation re-imagining a healthcare system where early detection and prevention are at the forefront., • High-growth phase of the business as they continue to expand across the UK. Remuneration: Our client is committed to securing the services of the right candidate and is flexible with regards to the remuneration package available. Zest Scientific is working to a strict deadline so in order to be considered for this opportunity please apply now and your application will be reviewed immediately.

Are you a Principal Engineer who thrives on building high-scale, external-facing products rather than just internal dashboards? We are partnering with a global leader in scientific software whose enterprise platforms power critical innovations worldwide. They are looking for a Principal Data Engineer who brings sharp technical ownership and great energy to a collaborative team. 🚀 Role: Principal Data Platform Engineer 📍 Location: Woking, UK (Hybrid) 💼 Sector: Life Sciences Enterprise SaaS The Reality of the Challenge: This isn't about managing internal data pipelines for a single company. You will be architecting and scaling a core data platform designed to serve over 200+ enterprise clients simultaneously. We need someone who understands the high stakes of a true commercial SaaS product lifecycle—where system uptime, rigorous testing, and avoiding outages are everything. 🌟 What You’ll Do: • Build for True Scale: Architect and scale modern data platforms capable of serving 200+ external enterprise clients simultaneously without breaking a sweat., • Own the Product Lifecycle: Drive engineering excellence from initial requirements and refinement through to heavy testing and production deployment., • Drive Team Energy: Bring a proactive, direct, and high-energy approach to the engineering team—helping unblock complex architecture challenges and elevating the people around you., • Bridge Software & Data: Treat data infrastructure like a world-class software product, ensuring high availability, observability, and seamless performance. 🛠️ What We Are Looking For: • The SaaS Mindset: You must have a proven track record of building data architectures for commercial SaaS products, not just internal company BI. You understand the classic software development lifecycle and how to build to prevent system outages., • The Data Stack: Deep, hands-on production experience with Databricks is preferred. (If your background is in Snowflake or BigQuery, that works perfectly too—provided it's paired with AWS)., • The Cloud Ecosystem: AWS is highly preferred. If your expertise lies in another ecosystem like GCP, you’ll need to have it tightly paired with Databricks experience., • The Vibe: You are collaborative, direct, and bring great energy to the room. You enjoy solving tough problems alongside a sharp team. 💼 Why This Role? You get to work on a product that makes a genuine global impact, operating with the agility of a focused product team. It’s a high-trust, hybrid environment where your architectural choices directly impact the product's commercial success. If you’re a Principal Engineer who thrives on building robust SaaS products and wants to join a high-energy team, let's connect. Drop me a message with your profile!

Location: London Pay rate: £20 - £27 p/h The Band 5 Therapy Radiographer will support the radiotherapy patient through the clinical and technical delivery of all radiotherapy tasks from referral to follow up. This will include immobilisation, localisation, planning, treatment delivery and patient assessment, management and care. The post holder will ensure the highest standards of treatment and care at all times. PRINCIPAL AREAS OF RESPONSIBILITY • Implement safe and accurate high-energy radiotherapy treatment to cancer patients adhering to radiotherapy protocols and procedures, • Provide a continuum of care requiring complex technical skills in localisation, planning and dosimetry, verification and management of treatment processes., • Quality assurance and control tasks as required insuring high-quality patient treatments and care., • Work within a multidisciplinary team providing a high-quality radiotherapy service MANAGERIAL AND ORGANISATIONAL • Prioritise and manage own work., • Train, supervise and check the work of radiographers, admin and clerical staff within the department as appropriate., • Provide clinical radiotherapy support for other services and personnel within the Clinic to include, for example, consultant medical staff, physicist, technologists and nurses., • Keep all records, document and report work as appropriate., • Assist with projects as agreed with the Radiotherapy Services Manager., • Complying with quality assurance mechanisms to ensure the safe implementation of clinical developments and standard practice., • Undertaking post graduate clinical training and education within the department in line with clinical practice changes and developments. CLINICAL, SCIENTIFIC AND TECHNICAL • Competent with the technical and clinical aspects of radiotherapy as delivered within the Clinic., • Keep abreast of latest technical and scientific advancements within the radiotherapy field., • Participate in implementation of new technologies and service developments., • Maintain state registration with the HCPC. POLICY, SERVICE DEVELOPMENT AND IMPLEMENTATION • Comply with applicable legislation and professional guidelines., • Participate in the development and implementation of clinical procedures, protocols and work instructions. RESEARCH AND DEVELOPMENT • Support clinical research as required., • Participate in audit within clinical radiotherapy; including the use of audit and audit tools in order to deliver service improvement initiatives., • Participate in research in accordance with Ethics Committee approval, Clinical Governance criteria. EDUCATION AND TRAINING: • Participate in instruction and training as commensurate with the role., • Training and professional develop radiotherapy staff and undergraduate students as needed. PERFORMANCE OF DUTIES • Execute their duties courteously and professionally at all times and seek to ensure that the highest level of service is provided by the radiotherapy service., • Will be required to participate in the bank holiday working rota., • May be required to perform duties outside the normal working hours including weekends., • Attend vendor training ESSENTIAL REQUIREMENTS EXPERIENCE Experience in all aspects of radiotherapy Practical experience of a wide range of radiotherapy equipment, technique and practice including IMRT and IGRT KNOWLEDGE Broad, fundamental knowledge of radiotherapy Understanding of the radiotherapy regulatory environment knowledge of radiotherapy side effects and associated treatments knowledge of radiotherapy treatment modalities, options and techniques SKILLS Physically capable of performing and conducting tasks required in the radiotherapy environment Prioritise and complete tasks Able to work successfully in a multi-disciplinary team Able to work under pressure Communicating effectively with consultants, peers, associated staff and trainees Computer literate to support clinical needs QUALIFICATIONS DCR (T) or BSc Radiotherapy or UK recognised equivalent State Registration with HCPC PERSONAL ATTRIBUTES Demonstrate a commitment to the speciality To be articulate, enthusiastic and flexible Good communication abilities and a caring approach to patients and colleagues Good time keeper, reliable, trustworthy and honest Accurate attention to detail Mature outlook and ability to work under pressure to strict timescale and dateline Organised and methodical Team player and able to work within the multidisciplinary team Self-motivated INTERESTS Professional development OTHER Able to work flexible and unsociable hours Participate in out of hours and on call treatments e.g. management of planned and unplanned breaks in treatments Willing to attend courses and training nationally

🔬 Senior Fertility Laboratory Leadership Prestigious NHS client | London A prestigious NHS client in London is looking to appoint a senior fertility laboratory professional into a key leadership role within an established assisted conception service. I’m keen to speak with experienced HCPC-registered embryology / reproductive science professionals who may be open to a discreet conversation. This role offers genuine influence across: 🔹 Fertility laboratory leadership 🔹 Embryology and andrology services 🔹 Quality, governance and compliance 🔹 Audit, SOPs and service improvement 🔹 Team development and supervision 🔹 Future service direction 🔹 Practical clinical input where appropriate You’ll bring: ✅ HCPC registration ✅ Senior fertility laboratory experience ✅ Strong embryology / reproductive science background ✅ Experience working in regulated clinical services ✅ Confidence leading and developing scientific teams ✅ A calm, credible and collaborative leadership style This would suit a senior embryologist, consultant clinical scientist, fertility laboratory manager or experienced reproductive scientist ready for a meaningful long-term move. For the right person, this is a chance to remain clinically credible while having wider influence over standards, people, quality and future service development. If this sounds like a conversation worth having, message theatres@medicspro.com for more information. All enquiries handled in confidence.

CT19 is partnering with an innovative AI-driven drug discovery company that is building advanced machine learning solutions for drug discovery. Having established a strong customer base across biotech and pharma, they are now looking to hire a Research Engineer to help scale its machine learning capabilities and contribute to the next generation of computational drug discovery tools. This is an opportunity to join a highly technical, multidisciplinary team working at the intersection of machine learning, chemistry, biology and software engineering. You'll play a key role in developing production-grade ML systems, supporting scientific innovation, and helping deliver impactful solutions used by researchers worldwide. The role: As a Research Engineer, you will be responsible for developing and deploying machine learning solutions that support molecular design and drug discovery workflows. You will work closely with scientists, engineers and end users to transform cutting-edge research into robust, scalable products. Key Responsibilities: • Develop and optimise machine learning models for molecular property prediction and related scientific applications, • Expand and maintain automated model development and evaluation workflows, • Build and improve ML infrastructure, including training pipelines, experiment tracking, model registries and deployment processes, • Curate, validate and prepare scientific datasets for model development, • Collaborate with cross-functional teams to design and deliver user-focused solutions, • Contribute to technical documentation, publications and presentations where appropriate, • Support the ongoing evolution of engineering standards, tooling and best practices What we are looking for: • Commercial experience building and deploying machine learning systems in production environments, • Strong software engineering fundamentals and coding skills, • Experience with MLOps tooling, experiment tracking, model serving and containerisation technologies, • Exposure to cloud platforms such as AWS, GCP or Azure, • Familiarity with infrastructure-as-code approaches and modern development workflows, • Strong communication skills with the ability to collaborate across technical and scientific disciplines Nice to have: • Experience working with molecular, chemical or biological datasets, • Exposure to computational chemistry, cheminformatics or drug discovery applications, • Contributions to open-source scientific or machine learning software projects, • PhD or advanced degree in Chemistry, Computational Chemistry, Computer Science, Machine Learning or a related discipline Reach out to mason@ct-19.co.uk for more information!

We’re looking for a Machine Learning Research Engineer to join an early-stage quantum computing start-up developing full-stack quantum systems. This role sits at the intersection of advanced ML research and applied engineering, focusing on generative algorithms and hybrid quantum-classical models. You’ll work closely with clients and partners to show how ML and quantum technologies can solve real-world challenges. Responsibilities: • Design, implement, and evaluate new machine learning algorithms, particularly generative models (GANs, flow models, diffusion models) and hybrid quantum-classical neural networks., • Partner with clients to translate practical problems onto the company’s quantum hardware and deliver solutions that demonstrate value., • Expand and improve the company’s software platform with new algorithms, example applications, and research-driven features., • Support scientific innovation by publishing findings and helping safeguard intellectual property. Required Skills & Experience: • Proven experience building and testing machine learning algorithms., • Hands-on experience with GANs, diffusion models, or flow-based generative models., • Strong programming skills in Python, PyTorch, and version control (Git)., • Advanced degree (Master’s or PhD) in Computer Science, Physics, or a related technical field. Preferred Skills: • Experience working with specialized computing hardware (HPC, NPUs, ASICs, or quantum processors)., • Multi-GPU training experience., • Publication record in ML or AI research., • Comfortable presenting and collaborating with clients or stakeholders., • Familiarity with quantum computing principles. Why Join: This role offers the chance to work on cutting-edge ML research applied to quantum hardware, delivering impactful solutions that move from concept to real-world implementation. The position provides hybrid flexibility in London and direct exposure to pioneering quantum technology.

About the Role The Clinical Dietitian sits at the heart of patient care within a specialist, private metabolic health environment. The role delivers evidence-based Medical Nutrition Therapy to patients with diabetes, obesity, metabolic syndrome, and related conditions. The successful candidate will work within a close-knit multidisciplinary team and take a technology-enabled, patient-centred approach to achieving measurable health outcomes. Role Summary As Clinical Dietitian, you will carry out comprehensive nutritional assessments, design individualised care plans, and deliver Medical Nutrition Therapy across a range of complex metabolic conditions. You will work alongside endocrinologists, diabetologists, GPs and nurses to keep each patient's care coordinated and progressing. You will use digital health tools and continuous glucose monitoring data as part of your everyday practice, and you will build lasting therapeutic relationships with patients and their families throughout their journey with us. Core Responsibilities 1. Patient Assessment and Nutritional Care • Conduct comprehensive nutritional assessments covering dietary history, anthropometric measurements, and clinical and biochemical data., • Apply validated diagnostic tools to assess nutritional status, including malnutrition screening using MUST (Malnutrition Universal Screening Tool)., • Develop individualised nutrition care plans aligned with each patient's medical conditions, treatment goals, and lifestyle., • Provide Medical Nutrition Therapy (MNT) for patients with diabetes, obesity, dyslipidaemia, hypertension, and other metabolic disorders., • Monitor and evaluate patient progress and adjust care plans as clinical evidence dictates., • Educate patients and carers on balanced nutrition, portion control, and sustainable dietary habits. 1. Multidisciplinary Collaboration • Work alongside endocrinologists, diabetologists, GPs, diabetes educators, nurses and pharmacists to deliver integrated patient care., • Participate in multidisciplinary team meetings and contribute to joint care plan development., • Act as the nutrition lead within MDT settings, providing specialist dietary input across a range of clinical conditions., • Collaborate with the digital health team to interpret and act on continuous glucose monitoring (CGM) data and wearable device outputs. 1. Technology-Enabled Nutrition Care • Use the clinic's electronic patient record (EPR) system to track and analyse patient progress and engagement., • Integrate data from wearable devices, mobile applications, and patient-reported outcomes into nutritional counselling sessions., • Support patients in adopting technology-enabled lifestyle management tools as part of their care pathway. 1. Education and Prevention • Deliver one-to-one and group nutrition education sessions tailored to patient needs and health literacy levels., • Develop and contribute to patient education materials, workshops, and health awareness programmes., • Promote preventive nutrition strategies to reduce the risk of diabetes and metabolic complications. 1. Quality Assurance and Professional Development • Maintain accurate and complete clinical records in line with HCPC standards of proficiency and organisational policy., • Participate in clinical audits, continuous quality improvement programmes, and CQC readiness activity., • Stay current with evidence, nutrition guidelines, and innovations in dietetics and metabolic care, including guidance from the British Dietetic Association (BDA)., • Understand, follow, and actively support the clinic's infection prevention and control programmes. Key Requirements and Skills Registration and Qualifications • Current registration with the Health and Care Professions Council (HCPC) as a Dietitian. This is a mandatory requirement., • BSc (Hons) in Dietetics, or a Postgraduate Diploma or MSc in Dietetics, from a programme recognised by the BDA and approved for HCPC registration. Experience • Minimum two years of post-registration clinical experience, with a preference for backgrounds in diabetes, metabolic health, or lifestyle medicine., • Experience working in a private healthcare or technology-assisted care environment is an advantage., • Strong working knowledge of nutrition in chronic disease management across diabetes, cardiovascular disease, and obesity., • Proficiency in EPR systems and clinical data interpretation. Clinical Skills • Deep understanding of human physiology, biochemistry, and clinical pathology as they relate to metabolic health., • Ability to apply validated nutritional assessment tools and translate findings into clear care plans. Communication • Clear verbal and written communication skills in English., • High emotional intelligence and the ability to translate complex scientific information into accessible, actionable guidance for patients., • Culturally sensitive with the ability to support patients from a wide range of backgrounds. Professionalism and Conduct • Confident working autonomously while managing a high-volume, specialist caseload., • Calm and composed under pressure with a proactive, solutions-focused approach., • High level of discretion in handling patient information, in line with UK GDPR and the Data Protection Act 2018. Regulatory and Compliance Context This role operates within the regulatory framework of the Health and Care Professions Council (HCPC) and the Care Quality Commission (CQC). The postholder must maintain active HCPC registration at all times, adhere to the clinic's infection prevention and control programmes, support patient safety standards, and maintain compliance with all relevant UK healthcare legislation including UK GDPR and the Data Protection Act 2018. Key Competencies Competency What Good Looks Like • Clinical Assessment: Conducts thorough, validated nutritional assessments. Identifies malnutrition risk and adjusts care plans without delay., • Evidence-Based Practice: Applies current BDA guidelines and HCPC standards of proficiency to every patient interaction., • Patient Communication: Translates complex nutritional science into clear, actionable advice. Adapts language and approach to each patient., • MDT Collaboration: Works effectively across clinical teams. Contributes specialist nutrition expertise and listens to colleagues equally., • Professional Standards: Maintains active HCPC registration. Upholds documentation requirements and professional conduct at all times., • Digital Literacy: Confident with EPR systems and wearable health data. Embraces technology-enabled care models and supports patients in doing the same.

ABOUT DESCARTES UNDERWRITING Join Descartes and contribute to our mission: Building Resilience in a World at Risk. Descartes is a corporate insurance group for worldwide companies and institutions. Descartes was born from a conviction that the growing complexity of corporate and climate risks demands a new approach to insurance. At the forefront of AI and Data analysis, Descartes utilises cutting-edge technology combined with a new generation of data sources, to model, assess and manage risks. Since 2019, Descartes has secured a leading position in parametric (re)insurance combining scientific & technological expertise with a new approach. _ce, also known as index-based insurance, indemnifies clients within days based on pre-defined payout structures when a specific triggering event occurs, the payout process is both fast and transparent. The company has been financed with over $141M by investors including Highland Europe, BlackFin, Serena, Cathay, Eurazeo and Battery Ventures. Our highly diverse and specialized team of 250+ people includes the largest modelling team in the industry featuring tech and modeling innovators, scientists in physics and climatology, as well as insurance veterans and underwriters. With a global footprint and strong US presence, Descartes serves a diverse portfolio of clients in more than 60 countries, with 20+ offices spread across Europe, Asia-Pacific, Latin and North America. Find out more_eers. ABOUT YOU Descartes Underwriting is seeking a Senior Underwriter/Data Scientist (Parametric Insurance) to join the Underwriting Team based in London. Reporting to the Underwriting Manager & Director of Descartes UK, you will be a key contributor to the development and deployment of climate risk models for the pricing, underwriting and monitoring of weather-related parametric policies for corporates and public entities. Your key missions will include: • Collaborate with the business team and brokers to understand client needs and risk transfer challenges to successfully underwrite new business and renew accounts;, • Conduct thorough analyses for product design and coverage structuring in order to meet the needs and expectations of the clients;, • Improve and develop pricing models in order to model the risk, underwrite policies for corporates and public entities, and monitor the portfolio performance and accumulation;, • Contribute to insurance proposal and underwriting documentation in order to finalise policies for corporate clients and public entities worldwide;, • Operate in the London market, leading discussions and projects with brokers and partners;, • Collaborate with various divisions of Descartes in order to sustain the growth of the portfolio (e.g. R&D teams, Legal, Operations, Risk Management);, • Technical & Business Leadership: help both the underwriting strategy and the review of the work conducted by Underwriting Data Scientists, providing guidance on technical modeling matters & business requirements. ABOUT YOU EXPERIENCE & QUALIFICATIONS • Graduated from a leading academic institution with a degree in mathematics, statistics, data science, physics or related;, • 4 years of significant experience minimum (post graduation) in data science or related;, • As a plus: track record of experience in leading a (small) team and managing business projects;, • As a plus: prior experience in structuring, pricing & underwriting parametric insurance covers for climate risks. SKILLS • Proficiency in Python (e.g. pandas, scikit-learn);, • Strong background in statistics and mathematics, showing clear understanding of probabilities;, • Eye for quality, autonomous and attention to detail;, • Fluency in English (written and verbal communication) is required;, • Good level of one additional language (e.g. Chinese, French, Italian, German, Spanish...) is a plus. MINDSET • Interested in insurance industry and climate risks modeling;, • Strong team spirit;, • Ability to work under pressure;, • Eagerness to solve complex problems and technical challenges;, • Rigorous, creative and meticulous mind;, • Strong desire to learn and acquire responsibility;, • Results oriented with the ability to work in a fast-paced and multi-cultural environment. WHY JOIN DESCARTES UNDERWRITING? • Opportunity to work and learn with teams from the most prestigious schools and research labs in the world, allowing you to progress towards technical excellence;, • Commitment from Descartes to its staff of continued learning and development (e.g. annual seminars, training etc.);, • Work in a collaborative & professional environment with great team spirit;, • Be part of a dynamic and diverse international team;, • Join a company with a clear and true purpose: help our clients be more resilient in face of climate risks;, • A competitive salary, bonus and benefits. At Descartes Underwriting, we value diversity whatever it may be. We are committed to fighting against all forms of discrimination and for equal opportunities. We foster an inclusive work environment that respects all differences. With equal skills, all our positions are open to people with disabilities. RECRUITMENT PROCESS • Step 1: HR Interview with our Talent Recruiter, • Step 2 : In person or remote manager interview (if necessary), • Step 3: Technical online test on Github, • Step 4: In person or remote tech interview, • Step 5: In person team interview to meet our team and discover our offices

A chance to step into quantum computing. Metric is hiring for a client looking for a Software Engineer to help develop and maintain the software platform powering next-generation quantum computing systems. Working closely with software, hardware, and research teams, you will build high-performance, production-grade systems that directly impact customers and drive innovation. Key Responsibilities: • Develop and maintain systems-level software for advanced computing platforms., • Build and optimise low-latency software interfaces and hardware integrations., • Contribute to DevOps, CI/CD pipelines, monitoring, and observability tooling., • Lead technical projects from design through deployment., • Collaborate with product, engineering, and research teams to deliver new capabilities., • Improve system performance, reliability, and scalability. Skills & Experience: Essential • Strong Python development experience, with C++ and/or Rust highly desirable., • Experience building and supporting production systems., • Strong Linux systems programming knowledge., • Experience with Git, testing, code reviews, and CI/CD pipelines., • Understanding of performance optimisation, reliability, and scalability. Desirable • Experience with embedded systems, hardware integration, FPGAs, or scientific instrumentation., • Background in quantum computing, HPC, telecoms, robotics, defence, semiconductors, or other deep-tech environments., • Experience with observability tools such as Grafana, Prometheus, or InfluxDB., • Knowledge of digital signal processing, RF systems, or data acquisition. About You: You are a hands-on engineer who enjoys solving complex technical challenges, working across hardware and software boundaries, and taking ownership of systems from concept through to production. You thrive in fast-paced environments and are excited by the opportunity to work on cutting-edge technology. If this sounds like you...apply today!

GrC&C Search is currently recruiting a Data & Reporting Analyst for a leading private equity environment, offering excellent benefits, strong progression and a hybrid working model, based in Central London. This Data & Reporting Analyst role is perfect for a data-driven professional who thrives on systems, reporting and data integrity within a fast-paced, high-performing investor relations team.All about the role and company I would be working for! Position: Data & Reporting Analyst Salary: £50,000 – £60,000 + bonus Hybrid set up: 4 days in the office, 1 day from home (occasional 5 days) Benefits: Generous holiday allowance, pension, private healthcare, discretionary bonus, wellbeing initiatives, collaborative team culture, exposure to senior stakeholders What they do: A global private equity advisory firmCompany culture and what makes them great to work for: This organisation is known for excellence, collaboration, and continuous improvement. The Investor Relations team operates in a dynamic, high-performance environment where data accuracy and operational efficiency are critical. Employees are given real ownership from day one, working closely with senior stakeholders and contributing to meaningful projects. The culture encourages curiosity, innovation, and progression, making it an ideal environment for someone looking to build a long-term career in data.Key responsibilities for this Data & Reporting Analyst position: • Act as a CRM super user (DealCloud and other systems), ensuring high data integrity, user support, and system optimisation • Build, maintain, and improve reporting dashboards, investor data tracking, and fundraising analytics • Identify and resolve data inconsistencies, duplication, and errors across platforms • Create structured searches, filters, and views to support investor communications and project workflows • Collaborate with IT on system enhancements, integrations, and data workflows • Support data clean-up initiatives and improve overall data discipline across the IR function • Produce accurate and insightful reports for senior stakeholders • Contribute to process improvements and support AI and automation tools within the teamWhat background and experience are the company looking for? • Strong experience working with CRM systems such as DealCloud, Salesforce, HubSpot, or similar • Advanced Excel skills with the ability to analyse, reconcile, and manipulate data • Exceptional attention to detail with a natural ability to spot inconsistencies and errors • A genuine passion for data, systems, and data integrity • Strong problem-solving skills with the ability to structure and interpret complex data sets • Confident communicator, able to work with both technical and non-technical stakeholders • Exposure to financial services, reporting, or data-heavy environments • Experience with BI tools, AI tools, or automation is beneficial• Graduate preferred ideally with a scientific or computer science related degree Please apply online asap for this Data & Reporting Analyst role, if your experience aligns and this sounds like the perfect next step in your career! For this role C&C Search is acting as an employment agency. At C&C Search, diversity, equity and inclusion are at the core of who we are and how we operate. Our commitment to these values is unwavering across all our work in recruitment, and in our training and development programmes. C&C Search fosters a culture of inclusion and belonging and has a deep commitment to being part of creating a fairer society through partnering with clients who are also committed to a seat at the table for everybody. We work with companies that are committed to reflecting our communities, where people can bring their authentic selves to work. We know that having varied perspectives helps generate better ideas, better businesses and better societies. There is much to be done, but together we can achieve equality for all.

About the Company - Entrust Identity Verification: At Entrust, identity is no longer a compliance checkbox—it’s a real-time product problem shaped by machine learning, adversarial behavior, and high-stakes decisions. Every verification is a trade-off between fraud prevention, user experience, speed, and trust—and getting it right determines whether a legitimate user gets access or a sophisticated attacker gets stopped. Our Identity portfolio (formerly Onfido) powers document and biometric verification, fraud detection, and identity decisions at global scale. From detecting deepfakes to enabling seamless onboarding, our ML systems sit directly on the critical path of digital trust—used by banks, fintechs, marketplaces, and enterprises worldwide. About the Team: You’ll join a high-caliber Applied Science group (~20+ scientists) working at the intersection of machine learning, product, and real-world constraints. The team is supported by a state-of-the-art ML Ops ecosystem (AWS, Encord, Ray, PyTorch Lightning, Weights & Biases) and partners closely with product and engineering to ship models into production at scale. This is applied research in its truest sense: advancing the frontier while delivering systems that must be accurate, fast, fair, and resilient in adversarial environments. Position Overview: We’re looking for An Applied Scientist Lead - Computer Vision to lead one of our Applied Science teams at Entrust. You will lead a team of 6 applied scientists that trains and evaluates vision-language models for data extraction on one side, and efficient models (<5MB) that run on mobile devices on the other. The ML space here is exciting: better vision-language models enable better and more general extraction, and techniques like distillation and quantisation allow models to become smaller and smaller. We expect this role to be hands-on for about 50% of your time—making contributions to the codebase helps you deliver better feedback as well. What you will be doing: • Define the team's roadmap together with product and engineering leads., • Stay up-to-date on the vision-language modelling and efficient ML literature, and translate these insights into product opportunities., • Manage a team of 6 Applied Scientists., • Contribute to the regular development lifecycle by contributing to dataset creation, model training and evaluation code., • Push the frontier of research in areas such as vision-language modelling, document understanding, few-shot learning, distillation, quantisation, and active learning., • Publish research results in national and international conferences and scientific journals. You may be a good fit if you: • Have 2+ years of experience leading a team of ML scientists or research engineers., • Have 5+ years of industry experience as an individual contributor in a machine learning science team, either as an ML scientist or research engineer., • Have strong experience in machine learning and computer vision., • Have a strong record of successfully delivering high-performance ML-driven products., • Have a deep understanding of machine learning theory., • Have strong coding skills in Python and PyTorch. Strong candidates may also have: • Technical experience in one or more of the following areas: document understanding, vision-language modelling, few-shot learning, distillation, quantisation and active learning., • Published at top-level machine learning conferences., • Experience optimizing (distributed) training code. What are we looking for? An Applied Scientist Lead excels in three areas: 1. Scientific Contributions: This person must shine as an example through past work and scientific drive within the team. They will continue to make direct contributions through side projects and, more often, by influencing the team’s work with unique ideas. The goal of our team is also to positively impact the broader community, so this person should stand out through external contributions such as publications, talks, and open-source work., 2. Leadership & People Management: This person must be passionate about growing the people on their team. Applied Scientists often require dedicated and thoughtful support due to the inherently unpredictable nature of their work., 3. Product and Business Acumen: We are a product-centric and customer-centric company, so our work should strive to deliver meaningful product impact. This person must deeply care about both the product and the business, and excel at building long-lasting relationships across cross-functional teams including Product, Design, Engineering, and Analytics. Where you will be: London, UK or Paris, France (Hybrid – 3 days in office) Why join us? Solve problems that matter—at scale. At Entrust, we combine cutting-edge research with a deeply product-oriented culture—where ideas don’t stop at papers, they power systems used by millions. Our products sit on the front lines of digital trust, tackling visual fraud at scale—from deepfakes and synthetic identities to sophisticated spoofing attacks. You’ll lead teams, shape ML direction, and build models that must perform in the real world—under adversarial conditions, across global systems, and with real consequences. If you’re motivated by turning advanced research into production-grade systems—and pushing the frontier while doing it—this is the kind of work worth doing. NO AGENCIES, NO RELOCATION #LI-GR1

Senior Research Engineer — Private Assets Location: Singapore or London Organisation: EDHEC Infrastructure & Private Assets (EIPA) Contract: Full-time Seniority: Experienced hire About EIPA The EDHEC Infrastructure & Private Assets Research Institute is an applied research centre focused on improving the way private assets are measured, valued and understood by institutional investors, regulators and market participants. Our work challenges flawed practices in private asset investing and develops more scientific, transparent and robust approaches to valuation, risk measurement, performance attribution and alpha measurement. Current research priorities include private asset valuation accuracy, fair value practices, private equity volatility, private debt risk, factor models for infrastructure and private equity and alpha measurement. We are looking to recruit Senior Research Engineers to strengthen our research capacity and turn ambitious private-assets research ideas into rigorous empirical outputs, working papers, academic journal submissions and practitioner-facing publications. The role The Senior Research Engineer will work at the intersection of private assets, empirical finance, quantitative methods, data engineering and academic research. The successful candidate will build and analyse datasets across private equity, infrastructure, private debt and related alternative asset classes. They will take ownership of empirical work on topics such as valuation accuracy, private asset volatility, performance attribution, factor exposures, GP behaviour, private-market alpha and risk estimation. Key responsibilities The Senior Research Engineer will: • Work with EIPA researchers to design, implement and test empirical research methods in private assets., • Build and maintain research datasets using sources such as company accounts, transaction databases, regulatory filings, fund disclosures, valuation records and commercial private-market databases., • Lead and execute empirical analysis for working papers, policy papers, insight papers and academic journal submissions., • Translate research questions into robust empirical designs, including regression analysis, panel data methods, difference-in-differences, factor models, event studies, network analysis and other quantitative techniques., • Develop research on private asset valuation accuracy, fair value practices, volatility estimation, alpha measurement, private equity value creation, private debt risk and infrastructure expected returns., • Develop reproducible research code, data pipelines and documentation that allow results to be audited, replicated and extended., • Prepare publication-quality tables, figures, robustness checks and methodological appendices for academic papers., • Identify data limitations, measurement problems and methodological weaknesses in existing private-market research., • Draft sections of research papers, especially methodology, data, empirical results and robustness sections., • Drive publication efforts in academic and practitioner outlets, including responding to referee comments and revising empirical analysis where required., • Collaborate with internal teams and external academic or industry partners where appropriate., • Mentor junior researchers, analysts or research assistants on coding, data quality and empirical methods. Current research areas The role will advance EIPA’s research pipeline across three broad areas. Valuation and transparency This includes work on the accuracy of private asset valuations, fair value practices, ASC 820 / IFRS 13 Level 3 disclosures, valuation policy, valuation backtesting, listed private equity fund holdings, BDC mark accuracy and the incorporation of climate risks into infrastructure valuations. Risk measurement This includes work on private asset volatility, private debt spreads, BDC loan concentration, network analysis of private asset markets, total portfolio risk management and improved estimation of systematic risk in infrastructure and private equity. Alpha and performance measurement This includes research on private-market alpha, return attribution, secondary buyouts, GP de-risking and factor timing, private equity value creation, mimicking finance for private assets and the construction of large-scale private equity datasets. Required experience Candidates should have: • Strong exposure to private assets, alternative investments or institutional investment research., • Strong ability to work with researchers and quantitative methods., • Demonstrated experience conducting empirical research, ideally in finance, economics, accounting, investment management or a related field., • The ability to produce research that can be submitted to academic journals, including familiarity with empirical research standards, robustness testing, literature positioning and academic writing., • Advanced programming ability, preferably in Python and/or R., • Strong data skills, including experience with messy, incomplete and multi-source datasets., • Good knowledge of econometrics, statistics or quantitative finance., • Experience with SQL or structured databases., • Strong understanding of reproducible research practices, including version control, documentation, code review and testing., • Ability to explain technical methods and empirical results clearly to both academic and non-technical audiences., • Excellent written English and the ability to write directly for research papers. Desirable experience The following would be particularly valuable: • Familiarity with the literature in private assets, alternative investments or institutional investment, including private equity, infrastructure, private debt, real estate, private credit, project finance, asset management, pension funds, sovereign wealth funds, investment consulting or private-market data providers., • A PhD or research master’s degree in finance, economics, accounting, statistics, data science, engineering, mathematics or a related discipline., • Previous publication record in academic journals, working papers, SSRN papers or high-quality applied research., • Experience with private equity datasets such as Orbis, PitchBook, Preqin, Capital IQ, Burgiss, EDGAR filings or fund-level datasets., • Experience with valuation research, fair value accounting, Level 3 assets, ASC 820, IFRS 13 or private-market NAV reporting., • Experience with asset pricing, factor models, return attribution, volatility estimation or total portfolio risk models., • Experience with panel data, causal inference, difference-in-differences, event studies, machine learning, network analysis or NLP., • Knowledge of infrastructure finance, regulated utilities, private debt or BDCs., • Experience collaborating with academic co-authors or responding to journal referee reports., • Experience producing both academic papers and practitioner-facing research. Candidate profile We are looking for someone who is intellectually rigorous, empirically minded and comfortable working on difficult private-market problems where the data are imperfect and the methodology matters. The ideal candidate will be able to move between code, data, financial theory and research writing. They should be comfortable asking whether a result is economically meaningful, whether a model is correctly specified, whether a dataset is biased, and whether the evidence is strong enough for publication. This role would suit a research engineer, empirical finance researcher, quantitative analyst, data scientist or applied economist who wants to work on high-impact private-assets research with both academic and industry relevance. Technical skills The ideal candidate will have strong skills in several of the following: • Python and/or R, • SQL, • Git / GitHub, • Econometric and statistical modelling, • Panel data methods, • Data cleaning and entity resolution, • Financial statement data, • Regulatory filings and disclosure data, • Private-market transaction and fund data, • Reproducible research workflows, • Research documentation and methodological appendices Knowledge of graph databases, network analysis, machine learning, cloud platforms or large-scale data pipelines would be helpful but is not essential. Why join EIPA? This is an opportunity to work on some of the most important unresolved questions in private markets: how private assets should be valued, how risky they really are, whether managers generate genuine alpha, and how institutional investors should measure performance and allocate capital. The role offers the chance to produce research that is academically credible, practically relevant and directly connected to major debates in private asset investing. Application Applicants should submit a CV and a short cover letter (pdf format) explaining: • Their experience in private assets or alternative investments., • Their experience with empirical research and quantitative methods., • Their programming and data skills., • Their publication experience or ability to write for academic journal submissions. Please note: Only shortlisted candidates will be contacted. If you do not hear from us within 21 days, please assume your application has not been successful on this occasion.

Head of Engineering Remote UK | £120,000 to £140,000 plus discretionary bonus This is a rare opportunity to step into a senior leadership role within a fast growing TechBio scale up where engineering plays a critical role in shaping product, platform, and customer impact. You will take ownership of the engineering function, bringing structure, consistency, and leadership to a highly capable technical team while working closely with executive leadership on long term technical direction. The Company They are a venture backed technology business operating at the intersection of data, AI, and life sciences. Their platform enables global pharmaceutical organisations to make sense of vast amounts of public and proprietary scientific data, uncovering insights that would otherwise remain hidden. With strong funding, a growing customer base, and a clear mission, they are now scaling their technology and teams to meet increasing demand. The Role • Take ownership of the engineering function, leading senior engineers across backend, platform, full stack, and data disciplines., • Act as the primary engineering leader, allowing the wider technology leadership to focus on data science and machine learning innovation., • Set clear standards for engineering best practice, architecture, delivery, and technical decision making., • Coordinate and oversee multiple workstreams, ensuring projects are well planned, aligned, and delivered effectively., • Stay close to technical design and architecture, providing guidance and challenge without being hands on day to day., • Partner with product, data science, and client facing teams to ensure the platform is robust, scalable, and delivering real customer value., • Help shape and evolve a strong, collaborative engineering culture within a remote first environment. Your Skills and Experience • Strong commercial experience leading engineering teams within product led or platform based technology businesses., • Background in backend or full stack engineering with a solid architectural perspective., • Experience managing and mentoring senior engineers, with the credibility to lead highly capable technical specialists., • Proven ability to bring structure, standards, and consistency to growing engineering teams., • Experience owning data-heavy systems., • Comfortable operating in a startup or scale up environment with evolving priorities and ambiguity., • Confident communicator who can work effectively across technical and non technical stakeholders. What They Offer • Opportunity to shape the engineering direction of a high impact AI and data platform., • A key leadership role within a growing, well funded business with long term progression opportunities. How to Apply If you are looking for a senior engineering leadership role with real influence and impact, please apply to learn more.

The Challenge Cardiometabolic conditions will impact 80-90% of people throughout their lifetimes, representing the leading cause of death globally and an important risk factor for neurodegenerative diseases and cancer. Sustainably addressing these diseases requires breakthrough therapeutics, AI/ML innovation, and transformative business models that translate clinical outcomes into economic value. The Opportunity This is an opportunity to build the ML and AI foundations of Onsera Health's breakthrough healthcare platform. Backed by Population Health Partners (PHP)—the proven venture platform behind Metsera and Corsera Health—we're building the future of population health management. As a Senior Machine Learning Engineer, you will sit at the intersection of data science, platform engineering, and production systems. Your mission is to design and operate the foundations that allow ML, analytics, and agentic AI systems to move safely and reliably from experimentation into regulated healthcare production environments on Google Cloud Platform. You will be the primary interface between Data Science and Platform Engineering, enabling rapid iteration while enforcing production and compliance standards. Responsibilities • Design and implement Onsera's agentic AI platform – architect LLM/agent framework selection, standardized patterns for tools, memory, guardrails, evaluation, and observability, • Define MLOps protocols for agentic systems – environment separation, versioning of prompts, tools, and policies, cost controls, rate-limiting, and fail-safe mechanisms, • Bridge data science and platform engineering – translate experimentation needs into GCP infrastructure, scalable compute patterns, and reproducible development environments, • Productionize data science code – convert research-grade notebooks into tested, modular, production-grade Python services, batch and streaming pipelines, and scheduled workflows, • Build production-grade data pipelines – develop idempotent, observable, and cost-efficient pipelines using BigQuery, Airflow, Google Workflows, and Cloud Run, • Implement CI/CD for ML workloads – automated validation, monitoring, rollback strategies, and model lifecycle management, • Establish reliability and governance – logging, metrics, tracing, data quality checks, and auditability for model decisions, data lineage, and agent actions What We Offer • Mission-driven work addressing critical public health and healthcare economics challenges, • Ground-floor opportunity to build the ML/AI infrastructure for a breakthrough healthcare platform, • Partnership with a world-class team of industry leaders, innovators, technologists, bioscientists, and clinicians from PHP and beyond, • A fast-paced, dynamic, and highly collaborative work environment, • Competitive salary and benefits package, including participation in our equity program Minimum Qualifications • 5+ years of experience in machine learning engineering, data engineering, or a related field, • Strong Python engineering skills with production-quality, typed, and tested code, • Track record productionizing ML models in batch and/or real-time environments, • Hands-on experience with analytical data warehouses (BigQuery or equivalent) and workflow orchestration (Airflow or similar), • Experience deploying ML systems on GCP, including Cloud Run, GCS, and IAM, • Infrastructure-as-Code experience (Terraform or equivalent), • Experience with feature engineering, model lifecycle management, and ML evaluation, • Demonstrated ability to collaborate across Data Science, Product, and Platform teams Preferred Qualifications • Experience with LLMs, agent frameworks, or AI orchestration systems in production, • Familiarity with prompt management, tool calling, evaluation, and AI safety patterns, • Healthcare or regulated-industry experience, including familiarity with HIPAA or SOC-2 compliance, • Experience with claims data, EHR-derived datasets, or real-world evidence, • Strong written and verbal communication skills with technical and non-technical stakeholders About Onsera Health We are an early-stage health AI company revolutionizing cardiometabolic care and population health economics connected to weight loss. Our unique position within the PHP ecosystem provides: • Venture track record: A proven track record of success in building biotech and healthcare companies, • Deep capital: Funding and resourcing to support deep tech and scientific R&D—and to drive growth, • Strategic guidance: Direct access to industry pioneers (including founders of The Medicines Company and Metsera), healthcare experts (including leaders in virtual care, former FDA commissioners), strategists (McKinsey/QuantumBlack alumni), and world-class scientific talent, • Expert network: Established connections across pharma, payers, and providers, • Startup agility: Ownership in the venture, founder mentality, and ground-floor impact About PHP Population Health Partners (PHP) is a premier investment firm established in 2020, aimed at transforming health outcomes for large populations. With offices in New York and London, PHP combines financial resources with industry-leading capabilities and technology. The firm's incubation portfolio includes Metsera and Corsera Health. Leadership: Led by industry veterans including Clive Meanwell (The Medicines Company), Chris Cox (The Medicines Company), and Whit Bernard (Metsera), bringing decades of founder experience and operational excellence in biopharma and healthcare, and Roy Berggren, 30+ year McKinsey Healthcare leader.

Founding Engineer - MLOps & Data Engineering We're working with a venture backed technology company that is building software to solve complex challenges within the natural resources sector. Following recent funding and growing customer demand, they are looking to hire a Backend Engineer with strong MLOps and cloud engineering expertise to help scale their platform, machine learning infrastructure, and data capabilities. This is an opportunity to join a small, high performing team where you'll have significant ownership over technical decisions, architecture, and the systems that underpin cutting edge AI and data driven products. The Role The successful candidate will play a key role in designing, building, and operating the backend systems, machine learning infrastructure, and cloud platforms that power the company's products. Key responsibilities include: • Designing and building scalable backend services, APIs, and distributed systems using Python, • Developing and maintaining production grade machine learning workflows and data pipelines, • Building infrastructure to support model training, deployment, monitoring, and lifecycle management, • Managing and improving cloud infrastructure, primarily within Azure, • Working closely with Data Scientists to productionise machine learning models and AI driven products, • Implementing MLOps best practices, including automated testing, deployment, monitoring, and observability, • Designing robust data ingestion and processing pipelines for large and complex datasets, • Improving platform reliability, scalability, and performance across backend and ML systems, • Driving engineering best practices around architecture, CI/CD, infrastructure as code, and deployment workflows, • Taking ownership of projects from concept through to production deployment Requirements • 5+ years of experience building and operating production software systems, • Strong software engineering experience with Python, • Experience building and maintaining machine learning workflows or MLOps platforms, • Strong understanding of cloud infrastructure, preferably Azure, • Experience with containerisation and orchestration technologies such as Docker and Kubernetes, • Experience building APIs, backend services, and distributed systems, • Strong understanding of modern software architecture and engineering best practices, • Experience working with data intensive applications, ETL pipelines, or large scale datasets, • Familiarity with CI/CD pipelines and infrastructure as code, • Strong organisational skills and ability to prioritise effectively, • Comfortable working in a fast moving startup environment, • Proactive mindset with a desire to improve systems, processes, and products Desirable Experience • Experience deploying and operating machine learning models in production, • Experience with ML orchestration tools such as Airflow, Prefect, Kubeflow, MLflow, or similar, • Exposure to geospatial data, scientific computing, environmental modelling, or natural resources applications, • Experience with observability, monitoring, and platform engineering practices, • Experience working with LLMs, AI systems, or modern machine learning frameworks, • Strong DevOps and Site Reliability Engineering experience, • Experience working within venture backed startups or scale ups What's on Offer • Opportunity to join a well funded, high growth technology business, • Significant influence over technical direction, platform architecture, and ML infrastructure strategy, • Work alongside experienced engineers, researchers, data scientists, and domain experts, • Exposure to cutting edge applications of AI, machine learning, and scientific data, • Competitive salary and equity package

Head of R&D - Sensing Science Location: Dagenham, Essex (2–3 days onsite) Salary: £80,000–£90,000 + benefits An innovative, venture-backed technology company developing next-generation intelligence and sensing systems is seeking a Head of R&D to lead its sensing strategy and scientific function .Having recently secured oversubscribed seed funding and with commercial products already in market, the business is scaling rapidly across applications including pest control, agriculture, animal health, environmental monitoring and future public health solutions . The Opportuni tyThis is a senior technical leadership role for an expert in sensing technologies who can bridge the gap between scientific research, product development and data-driven decision makin g.You'll work closely with engineering, firmware, software and data science teams to define how sensors are selected, tested, integrated and optimised within commercial product s. Key Responsibilit • iesLead the company's sensing science and R&D strat, • egyManage and mentor multidisciplinary scientific te, • amsDefine experimental design and testing methodolog, • iesGuide sensor selection and performance evaluat, • ionCollaborate with engineering teams on sensor integrat, • ionWork with data scientists to improve sensor interpretation and ML mod, • elsSupport the development of new sensing products and applicati, • onsInfluence future technical direction and team gro wth About YouWe're looking for a scientifically credible leader with deep expertise in sensing technologies and experience translating research into real-world produ cts.Relevant backgrounds may incl • ude:Gas, chemical or VOC sen, • singSensor fusion and embedded sensing sys, • temsAnalytical chemistry or chemical eco, • logyMachine learning for sensor sys, • temsScientific R&D leader ship Experience working with multidisciplinary engineering teams and commercialising sensing technologies is highly desir able. The company is open to candidates from industry, research organisations or academia who combine scientific depth with practical product thi nking. Wh • y Join?Shape a unique sensing and AI technology p, • latformWork on cutting-edge sensor and machine learning appli, • cationsJoin a well-funded business with commercial t, • ractionInfluence company strategy and future product deve, • lopmentContribute to technologies with significant long-term impact across multiple ind ustries

Senior Python Quantitative Developer sought by a specialist and multi-award-winning Systematic Hedge Fund in a brand-new Core team designing and implementing a greenfield centralised Python/SQL/Linux/Docker platform for Backtesting, Pricing, Risk and Performance to be used across all Funds and Investment teams. Our client is an early Quantitative Investment Firm, managing around $10BN+ and with a focus on Scientific Investing and new ideas. They also boast a rare and highly reputable culture and working environment geared towards collaboration and communication, with zero siloes, and industry-leading tenure. The firm totals around 150 staff, all of whom are office-based three or more days per week. This is a more technical Senior QD role which will involve collaborating with Quantitative Researchers and Portfolio Managers to architect, design and implement scalable solutions, addressing complex business needs. Primarily, you will be charged with delivering and maintaining critical components of the investment infrastructure, including the Data Interface Layer, Central Risk Calculations, and Backtesting Frameworks which will be a key tool for the Investment teams. Essential Skills & Experience: • Excellent Quant Development and Python skills, as per 3+ years of professional experience in Financial Markets, ideally in a Systematic Hedge Fund and/or dealing with Futures., • Quantitative Finance experience and knowledge, preferably with experience in developing financial Backtesting systems for Quantitative Strategies., • Hands-on experience with continuous integration and delivery systems such as Jenkins and GitLab CI/CD and a strong understanding of Software Development Life Cycle (SDLC) best practices, with knowledge of SQL, Linux and ideally Docker., • PhD/MSc level education in a numerate discipline from a top institution., • MATLAB experience highly desirable. This is an outstanding opportunity to join a world-class boutique Systematic Investment business, playing a key role in the delivery of a crucial core platform for use by cross-functional teams across multiple investment platforms.

This is a full-time remote role for a Microbiological Safety Cabinet and LEV Technician to join our Clean Air Team. The Technician will be responsible for conducting testing and inspection at client sites, troubleshooting, and repairing systems as necessary, and preparing accurate reports and documentation of system performance. Client sites are in the higher education, medical research and healthcare sectors - predominantly around London and the Southeast. Essential Duties and Responsibilities: • Perform scheduled service, preventative maintenance, and verification on various makes/models of Microbiological Safety cabinets (MSC’S) and other associated laboratory equipment., • Perform thorough examination and test of LEV (Local Exhausted Ventilation Systems)., • Capture and retain technical knowledge from an experienced Field Service Engineer to ensure continuity of expertise., • Manage service visits across the UK but mainly within the London and Southeast area, including regular travel and some short-notice requirements., • Produce accurate service reports and relevant documentation following all site visits and activities., • Complete accurate expense accounting related to travel and service visits., • Use service-related software tools, manage instrument files, and support customers in resolving issues where relevant., • Identify and escalate potential business opportunities discovered during customer visits. Education/Experience: • Combination of Technical Qualification and 3 years’ experience in a field service role required, • Preferred experience with Microbiological Safety Cabinets (MSC’s) and associated laboratory equipment., • Experience with LEV systems (Local Exhausted Ventilated Systems) with P601 certification highly advantageous. Hybrid role including: • Customer laboratory settings – Pharmaceutical, • Customer laboratory settings – Chemical e.g. factory / refinery, • In-house laboratory – Light industrial / chemical, • In-house training center – Light lab / warehouse / office Physical Demands: • Some long-distance driving, • Physical work including: Lifting light equipment and manual handling, Instrument / machine disassembly, leaning over, behind and under or on top of lab benches for access, Occasional working at height, including roof work of buildings., • Occasional overnight stays away from home

VP / Director of Sensing Science Location: Dagenham, East London (2–3 days onsite) Salary: £80,000 – £90,000 + benefits An innovative technology company developing next-generation odour intelligence and sensing systems is looking for a VP / Director of Sensing Science to lead and shape its sensing and scientific R&D capability. This is a rare opportunity to join a rapidly growing, venture-backed business that combines advanced sensor technology, AI/ML, data science and chemical sensing to build products capable of detecting and interpreting biological and environmental signals in ways not previously possible. The company has recently completed an oversubscribed seed funding round and already has commercial products in the market, alongside an expanding pipeline across pest control, agriculture, animal health and future public health applications. What the business does The company develops intelligent sensing platforms that analyse volatile organic compounds (VOCs) and odours using combinations of: • Gas and chemical sensors, • Sensor fusion, • Embedded systems and IoT hardware, • Machine learning and AI classification, • Data science and large-scale data platforms Their technology is already being used commercially and the business is now scaling both its R&D capability and product development pipeline. Projects range from smart pest monitoring systems through to animal health diagnostics and emerging human health applications. The Role This role will sit at the centre of the company’s scientific and sensing strategy. You will lead the sensing science and R&D direction of the business, bringing greater scientific rigour, technical leadership and coordination across sensing, experimentation, hardware integration and data science. You’ll work closely with engineering, firmware, software and data science teams to guide how sensors are selected, tested, integrated and optimised within real-world products. This is a highly technical leadership role rather than a pure management position. The company is specifically looking for someone with deep sensor expertise who can bridge the gap between: • Sensor technologies, • Experimental design, • Product development, • Data interpretation, • Machine learning outputs, • Hardware integration You’ll help shape how sensing technologies are deployed across a broad range of applications and products. What You’ll Be Doing • Leading the company’s sensing science and R&D function, • Managing and mentoring multidisciplinary scientific teams, • Defining experimental design and testing methodologies, • Guiding sensor selection for new product applications, • Evaluating sensor performance, limitations and deployment suitability, • Working closely with hardware and engineering teams on sensor integration, • Collaborating with data scientists to interpret sensor outputs and improve ML models, • Helping turn early-stage concepts into scalable commercial products, • Supporting the development of the company’s growing sensing and AI platform, • Influencing future hiring and technical direction within the business The role will also involve working with external partners and customers on “discovery” projects, where the company develops bespoke sensing solutions for new commercial applications. Examples of projects include: • Pest detection and monitoring, • Agricultural sensing, • Companion animal diagnostics, • Environmental monitoring, • Public health and disease detection, • Odour and VOC analysis What They’re Looking For The ideal candidate will combine strong scientific credibility with practical product development experience. You do not need to be an expert in every area, but you must have deep expertise in sensing technologies and understand how sensor data is used in real-world systems. Likely background areas: • Sensor technologies, • Gas sensing, • Chemical sensing, • VOC sensing, • Embedded sensing systems, • Sensor fusion, • Analytical chemistry, • Chemical ecology, • Machine learning for sensor systems, • Scientific R&D leadership Experience they are particularly interested in: • Managing scientific or technical R&D teams, • Working with multidisciplinary engineering teams, • Productising sensing technologies, • Translating research into commercial products, • Working with data science / ML teams, • Designing experiments and interpreting scientific data Sensor technologies of interest include: • Metal oxide gas sensors, • MEMS sensors, • Electrochemical sensors, • PID sensors, • FBAR sensors The company understands this is an extremely niche hire, so they are open to candidates from academia, research organisations or commercial environments - provided you can combine scientific depth with practical, hands-on product thinking. Curiosity, adaptability and the ability to learn quickly are considered just as important as ticking every technical box. Working Arrangement • Based in Dagenham, Essex, • 2-3 days per week onsite, • Some travel to Scotland to work with the data science team, • Hybrid flexibility available Why Join? • Opportunity to shape a genuinely unique sensing technology platform, • Work on cutting-edge AI and sensor-driven products, • Join a business already generating commercial revenue, • Significant influence over technical direction and future growth, • Diverse applications across multiple industries, • Fast-growing, well-funded technology environment, • Chance to work on technology with major long-term public health potential

Let’s decode this We're not looking for someone who has "been around for 10+ years". We're looking for someone who has raised the bar for ten years. • raises_bar(team) → The people around you write better code because you are there. You mentor through pairing and feedback, not hierarchy., • depth >= LEGENDARY → You have gone deep enough to hold strong opinions, and humble enough to change them., • ships_code → You still build. Regularly. In production. This role isn’t for everyone. It’s for engineers who want to stay close to the code, go deep, and do meaningful work. If that sounds like you - Apply. What the work looks like We can't promise which problem you'll pick up, but the menu right now looks something like this: • Redesign a ClickHouse schema so an ad buyer can query 85 billion rows in under two seconds, and discover that pre-exploding the rows 168x is actually the right answer., • Keep a vehicle telemetry platform moving billions of messages a day without the Kafka consumers falling over., • Build the engineering spine of a mobile wallet used by more than two billion people across four continents., • Ship the data product behind peer-review submissions for one of the world's largest scientific publishers. The list changes every quarter. The pattern doesn't: data-heavy, distributed, and often sitting on top of something that already exists and isn't perfect. What you will actually do • Design and build systems that deal with real-world complexity (not toy problems), • Write production code frequently, not just review or direct, • Work across languages when needed, not just your comfort zone, • Break down messy problems into clean, maintainable systems, • Push back on bad ideas, including ours You won’t be: • A people manager, • A “review-only” architect, • Someone removed from the code How we think about engineering We care about: • Code that is simple, testable, and built to change, • Engineers who can explain their design decisions clearly, • TDD, refactoring, and continuous improvement - not as rituals, but as tools, • Choosing the right technology, not the fashionable one We don’t care much about: • Buzzwords, • Framework loyalty, • Whether you’ve used our exact stack before Tech (context, not a checklist) TypeScript, Java, Scala, Kotlin, Go, Elixir, Python, .NET, Node.js, Rust You don't need to have shipped all of these. You do need the ability to learn what the problem demands. What you’ll get • A place where Principal Engineers still write code - daily, • One designation across the company: Solution Consultant. "Principal Engineer" is the translation for the outside world, • Small teams, high ownership, large impact, minimal process overhead, • No reporting managers. Decisions happen where the code does, • Find your balance between work and life’s ups and downs with unlimited leave when you really need it, • Open salaries. Inside Sahaj, every Sahajeevi can see every other Sahajeevi's pay, including the founders'. The annual hike is voted on collectively in a room where the whole company reads the P&L, • Own what you build. When Sahaj grows in impact and value, you’ll have a share in that upside

We have an exciting opportunity for an experienced natural hazard professional to join the Physical Risk team within the Climate Practice at WTW. The successful candidate will bring engineering / catastrophe modelling expertise in hazard characterisation and structural vulnerability evaluation alongside strong experience running and interpreting industry-recognised catastrophe models, delivering natural hazard and climate risk assessments at both site and portfolio level across operational and construction environments for a global corporate client base. In addition to leading consulting projects, the role involves active contribution to mentoring the team and building the Natural Catastrophe and Climate Risk Management business and revenue growth. This is a Certification Regime role under the Financial Conduct Authority's (FCA's) Senior Manager and Certification Regime and will be subject to the FCA's Conduct Rules. The Role: • Lead and deliver single-site natural hazard risk engineering assessments, including structural vulnerability reviews, hazard exposure evaluations, and loss estimation for operational and construction risks., • Conduct site visits to assess physical exposures to natural hazards including earthquake, windstorm, and flood, producing high-quality engineering reports with actionable recommendations., • Apply engineering judgement to evaluate building characteristics, structural systems, and site conditions in the context of natural hazard exposure and vulnerability., • Manage and deliver portfolio-level natural catastrophe modelling assessments utilising industry-recognised models (RMS, KatRisk, JBA), including data quality review, exposure preparation, model execution, and output interpretation., • Provide subject matter expertise on catastrophe model capabilities, limitations, and appropriate application within engineering and corporate risk consulting contexts., • Develop and apply bespoke methodologies for regions and sectors where standard risk tools or models are insufficient or unavailable., • Support clients in identifying, quantifying, and managing physical climate risks as part of regulatory disclosure frameworks such as CSRD and TCFD., • Engage with the WTW Risk & Broking community and external clients to develop new business, tracking pipeline activity in the Customer Relationship Management (CRM) system., • Manage consulting assignments, leading analyst teams to ensure delivery on time and within budget., • Contribute to the training and mentorship of junior colleagues across risk engineering and catastrophe modelling. What you’ll bring • Experience running and evaluating catastrophe modelling platforms (RMS, AIR/Verisk, RQE, KatRisk) with a solid understanding of probabilistic modelling concepts., • Strong client management, business development, project management, and team leadership capabilities., • Good understanding of the physical climate risk regulatory landscape including TCFD, CSRD, and ESG frameworks., • Ability to communicate complex natcat and climate modelling, and scientific concepts clearly to non-technical audiences., • Experience in post-loss and forensic engineering assessments would be an advantage., • Engineering background in a relevant discipline (civil, structural, geotechnical, or related) with experience in natural hazard risk assessment is preferred., • Experience conducting site-level risk engineering assessments across one or more natural hazard perils including earthquake, wind, and flood would be an advantage., • Proficiency in at least one GIS platform (QGIS, ArcGIS) for spatial hazard and exposure analysis, and working knowledge of at least one programming or database language (SQL, R, or Python) for data processing and modelling workflows. What we offer Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company. We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle-to-work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you. Equal Opportunity Employer We’re committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants.

We are partnering with one of the world's leading healthcare communications organizations as they continue to expand their Regulatory Writing team. Due to ongoing growth, they are seeking experienced Senior Regulatory Medical Writers who are passionate about scientific excellence, client partnership, and delivering high-quality regulatory documentation across a diverse portfolio of pharmaceutical and biotechnology clients. This is an opportunity to join a highly respected organization that values strategic thinking, collaboration, and long-term career development. The team is looking for individuals who want to make a meaningful impact, build strong client relationships, and contribute to the continued growth and evolution of the regulatory writing function. The Opportunity: As a Senior Regulatory Medical Writer, you will be responsible for developing and reviewing a range of regulatory documents while serving as a trusted scientific partner to both clients and internal stakeholders. You will work closely with multidisciplinary teams to ensure the delivery of clear, accurate, and compliant regulatory communications that support global development and submission strategies. This role offers exposure to a broad range of therapeutic areas and the opportunity to work directly with leading pharmaceutical and biotechnology companies. Key Responsibilities • Author, edit, and review a variety of regulatory documents for global pharmaceutical and biotechnology clients., • Ensure all deliverables meet scientific, regulatory, and quality standards., • Partner closely with clients to understand project objectives and provide strategic writing support., • Collaborate with Regulatory Affairs, Clinical Development, Medical Affairs, Biostatistics, and project teams to deliver high-quality submissions., • Manage multiple projects simultaneously while maintaining timelines and quality expectations., • Contribute to client meetings and serve as a trusted scientific resource throughout project delivery., • Support the development of best practices and contribute to the continued growth of the regulatory writing team., • Stay informed of evolving regulatory guidance and industry developments. Qualifications • Advanced scientific degree preferred (PhD, PharmD, MD, MSc, or equivalent)., • Significant experience in regulatory medical writing within a pharmaceutical company, biotechnology organization, CRO, or healthcare communications agency., • Strong experience authoring and reviewing regulatory documents for global submissions., • Excellent scientific writing, communication, and stakeholder management skills., • Ability to build strong relationships with clients and collaborate effectively across multidisciplinary teams., • Strong project management and organizational skills with the ability to manage competing priorities., • Experience within a client-facing environment is highly desirable. Why Consider This Opportunity? • Join a globally recognized healthcare communications organization with a strong reputation in regulatory and scientific communications., • Work alongside industry-leading experts across a diverse portfolio of pharmaceutical and biotechnology clients., • Be part of a growing team where your contributions will help shape future processes, capabilities, and client partnerships., • Gain exposure to a wide range of therapeutic areas, products, and development programs., • Excellent opportunities for professional growth, development, and career progression. If you are an experienced regulatory writer looking to combine scientific excellence with strategic client engagement, we would welcome the opportunity to speak with you.

About the Role We are seeking a Full-Stack Engineer to join our team and help build the next generation of AI solutions. This is a unique opportunity to be a key technical contributor in a fast-paced, innovative environment where you'll wear many hats and have significant impact on our product and engineering culture. As a full-stack engineer, you'll work across the entire technology stack—from backend services and data pipelines to infrastructure and deployment. You'll collaborate closely with the engineering team to architect, build, and scale our micro-services based platform while maintaining high code quality and operational excellence, utilising AI to maximise software development productivity. About Prolo Prolo is building an AI-powered procurement platform for the construction industry, which is one of the oldest and least digitised sectors in the world. The core system ingests unstructured purchase orders and transforms them into structured materials data, integrating with a network of suppliers and logistics partners to automate quoting, sourcing, and fulfilment workflows. What We're Building We're building a sophisticated AI platform that leverages graph databases, machine learning, and modern cloud infrastructure to deliver intelligent procurement and customer service solutions. Our stack includes: • Backend Services: Python 3.13, FastAPI, async micro-services architecture, • Data Layer: Neo4j graph database, PostgreSQL, complex data modelling, • AI/ML: OpenAI integration, semantic search, conversational agents, unstructured data analysis and extraction, • Infrastructure: AWS (Lambda, ECS/EKS, API Gateway, S3), • DevOps: Terraform, GitHub Actions, Helm, Infrastructure-as-Code, • Data Science: Graph analytics, data pipelines, ETL workflows, Jupyter notebooks Required Qualifications Software Development • 5+ years of professional software engineering experience, • Strong proficiency in Python (3.10+) with deep understanding of async programming, • Experience with Poetry or similar Python dependency management tools, • Experience building RESTful APIs and micro-services, • Solid understanding of database design and optimisation (both SQL and NoSQL), • Experience with graph databases (Neo4j preferred) or willingness to learn quickly, • Knowledge of event-driven architectures and message queues, • Knowledge of API design principles, data validation, and serialisation, • Experience with AWS Lambda and serverless architectures, • Experience working across the stack (backend + some frontend), • Understanding of web technologies, HTTP, and API integrations, • Ability to contribute to responsive frontend code when needed, • Hands-on experience using AI-assisted development tools (e.g. Cursor, GitHub Copilot) including prompt engineering, context management, and evaluating AI-generated code critically DevOps & Infrastructure • Hands-on experience with cloud platforms (AWS preferred), • Experience with containerisation (Docker) and orchestration (Kubernetes), • Knowledge of Infrastructure as Code (Terraform, CloudFormation, or similar), • Experience setting up CI/CD pipelines, • Understanding of service deployment, monitoring, and troubleshooting Data Science/Analytics • Experience with data analysis using Python (pandas, numpy), • Understanding of data pipelines and ETL processes AI/LLM Engineering • Experience integrating LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents) into production applications, • Understanding of core LLM concepts: context windows, token limits, temperature, system prompts, and model selection trade-offs, • Experience with prompt engineering techniques — few-shot prompting, chain-of-thought, structured output, and instruction tuning Soft Skills • Wearer of Many Hats: Comfortable switching contexts and working across different domains, • Self-Starter: Ability to work independently and take ownership of projects, • Problem Solver: Strong analytical and debugging skills, • Collaborative: Excellent communication skills and ability to work in a small team, • Adaptable: Comfortable with ambiguity and rapid iteration Nice-to-Have Qualifications • Experience with observability tools (OpenTelemetry, Prometheus, Grafana), • Familiarity with agentic coding workflows — using AI agents to scaffold, refactor, test, and document code autonomously, • Experience with FastAPI or similar async Python web frameworks, • Experience with Neo4j or other graph databases, • Experience with graph algorithms and network analysis, • Experience with Helm and Kubernetes operators, • Background in data science, statistics, or scientific computing, • Experience with graph analytics or network analysis, • Experience with RAG, LLM Orchestration and MCP, • Experience in early-stage startups What We Offer • Impact: Direct influence on product direction and technical decisions, • Growth: Opportunity to work across the entire stack and learn new technologies, • Ownership: Take ownership of features from conception to deployment, • Flexibility: Hybrid, remote-friendly work environment, • Equity: Meaningful equity stake in the company, • Learning: Access to cutting-edge technologies and challenging problems Note: Prolo is a startup with a small engineering team, which means you'll be expected to be versatile, proactive, and comfortable with ambiguity. If you're excited about building something from the ground up and working across the entire technology stack, we'd love to hear from you.

Senior Market Data Engineer Our client is a global quantitative and systematic investment firm operating across all liquid asset classes worldwide. The organisation is highly technology- and data-driven, applying a scientific approach to investing. By combining data, research, technology, and trading expertise, the firm fosters a collaborative environment focused on solving complex technical and quantitative challenges and delivering consistent, high-quality returns. The role You will work closely with researchers and quantitative developers to unlock insights from high-frequency market data and help power large-scale research and trading workflows. Key responsibilities include: • Partnering with research and quant teams to deliver insights from tick-by-tick market data, • Serving high-quality data to large-scale backtesting and research platforms, • Building and maintaining tick data pipelines in Python to enable fast, reliable access across asset classes, • Designing, implementing, and monitoring robust data quality frameworks across all pipelines Your skillset: • Strong knowledge of multiple financial asset classes, • Deep understanding of Level 2 and Level 3 tick-by-tick data, • Solid understanding of market structure (e.g., NBBO rules, secondary markets, dark pools), • Familiarity with exchange protocols is a strong plus, • Strong Python skills with experience using data libraries; C++ is a plus

Founding Fullstack Engineer - Frontend focussed We're working with a venture backed technology company that is building software to solve complex challenges within the natural resources sector. Following recent funding and growing customer demand, they are looking to hire a Product Engineer with a strong frontend focus to help shape and scale the user experience of their platform. This is an opportunity to join a small, high performing team where you'll have significant ownership over product development, user experience, and technical decisions. You'll work closely with customers, designers, product leaders, and engineers to build intuitive software that solves complex real world problems. The Role The successful candidate will play a key role in designing and building customer facing products, turning complex technical and scientific workflows into intuitive and impactful user experiences. Key responsibilities include: • Building and maintaining modern web applications using React and TypeScript, • Working closely with Product, Design, and customers to translate requirements into high quality features, • Owning features end to end, from discovery and design through to deployment and iteration, • Designing and implementing intuitive user interfaces for complex data driven workflows, • Collaborating with backend engineers and data scientists to integrate APIs, analytics, and machine learning powered functionality, • Improving application performance, accessibility, and overall user experience, • Contributing across the full stack when required, including backend development and API integration, • Gathering user feedback and using product insights to inform future development, • Driving frontend best practices, component architecture, testing, and development workflows, • Taking ownership of projects from concept through to production Requirements • 4+ years of experience building modern web applications, • Strong experience with React, TypeScript, and modern frontend development practices, • Passion for creating exceptional user experiences and solving customer problems, • Experience building and shipping customer facing products, • Strong understanding of frontend architecture, state management, and application performance, • Experience consuming and integrating APIs within production applications, • Ability to work across the full product lifecycle, from discovery through to delivery, • Strong communication and collaboration skills, • Comfortable working in a fast moving startup environment, • Proactive mindset with a strong sense of ownership Desirable Experience • Experience working as a Product Engineer or in highly product focused engineering teams, • Experience with modern design systems and component libraries, • Experience with data visualisation tools and frameworks, • Familiarity with backend technologies such as Python, Node.js, or cloud platforms, • Experience building AI enabled or data intensive applications, • Exposure to geospatial data, scientific computing, or complex technical domains, • Experience using product analytics and customer feedback to drive product decisions, • Experience working within venture backed startups or scale ups What's on Offer • Opportunity to join a well funded, high growth technology business, • Significant influence over product direction and user experience, • Work alongside experienced engineers, researchers, and domain experts, • Build products that solve meaningful real world challenges, • Exposure to cutting edge applications of AI, data science, and environmental technology, • Competitive salary and equity package

Founding team · Full-time · Hybrid (London or Oxford) · Meaningful equity About us Science runs on trust, but the machinery meant to produce that trust is failing. Peer review is slow, opaque, inconsistent, and increasingly gamed. And a flood of AI-generated research is about to overwhelm a system that was already straining. No one is the credible, independent arbiter of research quality. We think there should be one. OxSci is building a credit rating agency for science: a certification layer that combines AI with expert peer review, so researchers, institutions, and AI developers can assess research quality quickly and at scale. We're early, focused, and well-resourced. The standards we set now (what "quality" even means, and how expert judgment and AI combine to produce a defensible rating) will define the company. About the founders OxSci was founded by Shumiao Ouyang, Associate Professor of Finance at Saïd Business School, University of Oxford, and Fellow in Management at Wadham College. His research spans fintech, digital payments, and AI; he holds a PhD in Economics from Princeton and degrees from Peking and Tsinghua Universities. He started OxSci out of a conviction that the systems for judging scientific quality are overdue for reinvention, and you'd be building it with him directly. The technical side is led by OxSci's cofounder, a senior tech lead from one of the world's largest technology companies, with deep experience building and operating systems at global scale. This role works hand in hand with the cofounder day to day — you'd shape the platform's architecture and engineering culture together, from the ground up. What you'll do • Build the backend for our core product services and AI-powered features, using Python / FastAPI to ship stable, scalable systems., • Design and implement model calls, retrieval-augmented generation (RAG), context engineering, tool calling, and workflow orchestration across use cases spanning academic-content understanding, workflow assistance, output generation, and quality improvement., • Productionize the platform's AI feature modules — building task execution, state management, access control, logging/tracing, and failure-recovery capabilities., • Work with the product, frontend, and platform teams to take new features from validation to production, continuously improving quality, latency, stability, and cost., • Contribute to the design of data structures, knowledge-base interfaces, evaluation mechanisms, and service governance to keep the overall system maintainable. What we're looking for • A solid backend foundation, strong Python skills, and hands-on project experience with FastAPI or a similar framework., • Strong service-design, API-design, and debugging skills — able to drive complex feature modules to stable delivery., • Familiarity with the fundamentals of LLM application development; experience with RAG, tool calling, context engineering, or workflow orchestration is a plus., • Experience building content-processing platforms, knowledge-base systems, complex business platforms, or AI-application backends is a plus. What we offer • Founding seat with meaningful equity and a direct line to the founders, • The rare chance to define a standard the field doesn't yet have, • Genuinely competitive pay; equity discussed openly, • Generous AI/LLM token budget for your daily work, • Fast personal growth, with broad ownership and scope from day one, • Flexible working hours How to apply • Location: Hybrid (London or Oxford), • Visa: we can sponsor work visas for the right candidates in the near future., • To apply: send your CV to recruit.uk@oxsci.ai, and include something you've built — an app, a website, or any project you'd love to talk about.

Clinical Safety Scientist Type: Temporar yDuration: 6 months initiall yLocation: London (hybrid working availabl eRate: (INSIDE IR35) up to £500 per day (Umbrella ) We have a new, urgent 6-month contract with a leading pharmaceutical company! We are seeking a Safety Scientist to support the safety evaluation and risk management of medicines. This is a critical role contributing to patient safety across the full product lifecycle—from late-stage development through to post-marketin g. Key Responsibilit • iesMonitor and evaluate the safety profiles of assigned products across development and post-marketing pha, • sesConduct signal detection and evaluation, including analysis of safety data and literature rev, • iewContribute to the development and maintenance of Risk Management Plans and regulatory safety documentat, • ionSupport preparation of key regulatory deliverables (e.g., DSURs, PBRERs, EU RMPs, licence renewa, • ls)Collaborate with safety physicians on benefit-risk assessments and individual case safety revi, • ewsEnsure all safety documentation meets global regulatory and compliance standa rds Skills & Experience Requ • iredDegree (BSc or higher) in Biomedical Sciences, Life Sciences, or related healthcare f, • ieldProven experience in clinical trial data review and pharmacovigilance activi, • tiesStrong scientific writing skills with experience in regulatory safety docum, • entsKnowledge of signal detection, causality assessment, and safety data evalua, • tionExperience in literature review, data analysis, and interpreta, • tionUnderstanding of pharmacovigilance regulations and drug development processes (HIV knowledge advantage ous)To A pplyPlease click below and/or to discuss further, contact Theo Charles on 07836 25 1472 *PAYE also possible – please enquire for more inform ation

Head of Platform Engineering (AI and Synthetic Data) London (Hybrid) £120,000 to £150,000 + bonus + benefits This is a unique opportunity to lead the build and scale of a next generation AI platform focused on synthetic data and large language models. You will shape the engineering direction, influence how machine learning systems are deployed at scale, and play a key role in defining how modern data products are delivered across a global organisation. The Company They are a global organisation operating at the intersection of data, technology, and insights. With a strong investment in AI and advanced analytics, they are developing innovative capabilities that combine machine learning, privacy, and research methodologies. Their work is grounded in scientific rigour and real-world impact, supported by collaborations with leading academic institutions. The culture is collaborative and cross-disciplinary, bringing together engineering, data science, and research expertise. The Role You will lead the engineering function for a synthetic data platform, setting technical direction and building a high-performing, scalable team. • Define and own the platform architecture for a cloud-native AI and ML environment, • Lead, mentor, and grow a team spanning software engineering, data engineering, and MLOps, • Establish best practices across software development, CI CD, and platform reliability, • Standardise ML workflows across data, training, evaluation, and deployment, • Build a secure, reliable, and auditable platform for synthetic data generation, • Enable self-serve capabilities through APIs, tooling, and clear documentation, • Embed privacy by design and governance controls aligned to sensitive data use, • Partner closely with data scientists, product, and research teams to productionise models, • Drive cost-efficient cloud usage and optimise performance of GPU-heavy workloads Your Skills and Experience • Proven leadership experience managing and scaling cross-functional engineering teams, • Strong background in designing distributed, asynchronous, and high-availability systems, • Expertise in cloud platforms such as GCP and container orchestration with Kubernetes, • Experience building or leading ML platforms, pipelines, or MLOps environments, • Familiarity with modern AI systems including LLMs, vector databases, or deep learning frameworks, • Strong understanding of data privacy, security, and governance within enterprise environments, • Ability to bridge technical and non-technical stakeholders and influence at senior levels, • Hands-on technical background with the ability to guide architectural decisions What They Offer • Competitive salary with performance-based bonus, • Hybrid working model with flexibility in team collaboration, • Opportunity to shape a high-impact AI platform from an early stage, • Clear progression as the team grows and the platform scales, • Access to a collaborative and forward-thinking engineering environment How to Apply If you are interested in leading a platform at the forefront of AI and synthetic data, please apply with your CV.

Overview We are partnering with an innovative deep-tech company developing next-generation photonic and quantum-enabled computing systems. The team is looking to hire a hands-on engineer to support the build, integration, testing, and deployment of advanced optical and opto-electronic hardware systems. This is an opportunity to work at the intersection of photonics, quantum technologies, and high-performance computing, helping to transform cutting-edge research into robust, customer-ready products. Key Responsibilities • Own the assembly, integration, commissioning, and ongoing support of complex photonic and opto-electronic subsystems., • Diagnose hardware and system-level faults, perform root-cause analysis, and implement reliability improvements., • Develop and improve assembly, testing, maintenance, and service procedures to support scalable product deployment., • Collaborate closely with research and engineering teams to transition new technologies from R&D into manufacturable products., • Support customer installations, upgrades, and technical handovers when required., • Work with suppliers and vendors to source components and identify opportunities for performance improvements, simplification, and cost reduction., • Contribute to system documentation, tooling, and process optimisation initiatives. Requirements • Degree (or equivalent experience) in Physics, Engineering, Photonics, Optics, or a related discipline., • Proven experience building, integrating, and troubleshooting complex hardware systems involving optics, electronics, and software control., • Hands-on experience working with fibre-optic components and precision optical systems., • Strong practical understanding of photonic or opto-electronic instrumentation., • Programming experience in Python and/or C++ for instrumentation, automation, data acquisition, or system analysis., • Strong troubleshooting and problem-solving skills with a structured, methodical approach., • Comfortable working in a fast-paced engineering environment with evolving priorities., • Excellent communication skills and a collaborative mindset.Desirable Experience, • Quantum optics, quantum technologies, or advanced scientific instrumentation., • Optical communications, photonic integrated circuits, or laser systems., • Supply chain, procurement, or bill-of-materials (BOM) management., • Regulatory or compliance experience (e.g. CE, UKCA, FCC)., • Data centre, HPC, or large-scale hardware deployment environments., • Experience within a startup, scale-up, or other deep-tech organisation. Benefits • Opportunity to work on cutting-edge photonic and quantum technologies with real-world commercial applications., • Exposure to multidisciplinary teams spanning physics, engineering, software, and product development., • Hybrid working environment in Central London., • Competitive compensation package., • Significant opportunities for technical growth and career progression within a rapidly expanding deep-tech organisation

ABOUT DESCARTES UNDERWRITING Join Descartes and contribute to our mission: Building Resilience in a World at Risk. Descartes is a corporate insurance group for worldwide companies and institutions. Descartes was born from a conviction that the growing complexity of corporate and climate risks demands a new approach to insurance. At the forefront of AI and Data analysis, Descartes utilises cutting-edge technology combined with a new generation of data sources, to model, assess and manage risks. Since 2019, Descartes has secured a leading position in parametric (re)insurance combining scientific & technological expertise with a new approach. _e, also known as index-based insurance, indemnifies clients within days based on pre-defined payout structures when a specific triggering event occurs, the payout process is both fast and transparent. The company has been financed with over $141M by investors including Highland Europe, BlackFin, Serena, Cathay, Eurazeo and Battery Ventures. Our highly diverse and specialized team of 250+ people includes the largest modelling team in the industry featuring tech and modeling innovators, scientists in physics and climatology, as well as insurance veterans and underwriters. With a global footprint and strong US presence, Descartes serves a diverse portfolio of clients in more than 60 countries, with 20+ offices spread across Europe, Asia-Pacific, Latin and North America. Find out more _ers. ABOUT YOUR ROLE Due to rapid growth, we are seeking to expand our Data Science team across our Underwriting functions and we are looking for Data Scientists to join our team in London. As a Data scientist, your missions will focus on making direct contributions to the development of new climate models or forecasting tools. Your key missions will include: • Improving or developing new algorithms, new risk models and products for our B2B client;, • Identifying, implementing and deploying new statistical and machine learning methods to differentiate Descartes from its competitors;, • Participating in the development of Descartes’ technological platform;, • Collaborating with the business team to understand client needs and issues to further strengthen our technical excellence;, • Taking on management responsibilities as both you and the company develop;, • Working autonomously and pragmatically to make appropriate technical decisions. ABOUT YOU EXPERIENCE & QUALIFICATIONS • Master’s student in data science, computer science, applied mathematics, statistics or meteorological studies or related;, • Ideally a previous experience (long-term internship) in data science or climate modeling is valued. SKILLS • Proficient in statistics, applied mathematics and machine learning methods;, • Capable of building high-performance algorithms;, • Proficiency in Python (e.g. scikit-learn);, • Fluency in English (written and verbal communication) is required;, • Good command of one additional language (e.g. Chinese, French, Italian, German, Spanish...) is valued. MINDSET • Interested in weather and natural perils modeling (wildfires, hail, tsunamis, earthquakes etc);, • Excellent team player with an entrepreneurial mindset and value of diversity;, • Highly motivated, able to meet deadlines set;, • Strong desire to learn and commitment to the organization’s mission;, • Results oriented, high energy, with the ability to work in a dynamic and multi-cultural environment;, • Eager to learn more about the insurance industry. WHY JOIN DESCARTES UNDERWRITING ? • Opportunity to work and learn with teams from the most prestigious schools and research labs in the world, allowing you to progress towards technical excellence;, • Commitment from Descartes to its staff of continued learning and development (think annual seminars, training etc.);, • Work in a collaborative & professional environment;, • Be part of a dynamic international team, passionate about diversity;, • Join a company with a true purpose – help us help our clients be more resilient towards climate risks;, • A competitive salary, bonus and benefits;, • You can benefit from punctual home office days. At Descartes Underwriting, we cherish the value of diversity whatever it may be. We are committed to fighting against all forms of discrimination and for equal opportunities. We foster an inclusive work environment that respects all differences.With equal skills, all our positions are open to people with disabilities. RECRUITMENT PROCESS • Step 1: HR Interview with our Talent Recruiter, • Step 2: Technical online test on Github, • Step 3: Remote technical interview with a Data Scientist, • Step 4: In-person team interview to meet our Data Scientist team and discover our offices (could be held remotely if you are abroad)

About the Team: You'll be joining the team leading Entrust's Identity portfolio, formerly known as Onfido (an AI- powered digital identity solution). Our technology helps businesses verify real identities using machine learning, ensuring secure remote customer onboarding. By assessing government- issued identity documents and facial biometrics using state-of-the-art machine learning, we provide companies with the assurance they need to operate securely while allowing people to access services quickly and safely. Our Applied Scientist team consists of about twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely with product engineering to deploy models to serve our worldwide customer base. Position Overview: We are looking for an Applied Scientist II to design and train cutting-edge machine learning solutions related to digital identities. Join our team and work on challenging problems in deepfake detection, bias mitigation, document understanding, anomaly detection and/or efficient ML. What you will be doing: • Push the frontier of research in areas such as deepfake detection, bias mitigation, fraud/anomaly detection, face matching, document understanding, and efficient on-device ML., • Publish research results in national and international conferences and scientific journals. Work with product and engineering to improve our world-class identity-focused products. Representative work: • Implement bias-mitigation strategies to build fair face-matching and deepfake-detection models., • Train and benchmark large-scale vision-language models for document extraction., • Train a multi-modal document understanding model from scratch using synthetic data., • Optimise LoRA adapter latency in PEFT/Triton., • Profile, debug and improve model training speed on multiple GPUs., • Create a large-scale dataset for deepfake detection., • Experiment with multimodal models to detect fraud. You may be a good fit if you: • Have strong experience in machine learning and computer vision., • Have a strong record of successfully delivering high-performance ML-driven products., • Have a deep understanding of machine learning theory., • Have strong coding skills in Python and PyTorch., • Care about building fair and cutting-edge machine learning products. Strong candidates may also have: • Technical experience in one or more of the following areas: face matching, bias mitigation, anomaly detection, document understanding or on-device ML., • Published at top-level machine learning conferences. Experience optimising (distributed) training code. Where you will be: This role is based in our London, UK office and follows a hybrid model, requiring in-office presence three days per week. Benefits UK • 25 days annual leave plus a day off for your Birthday., • Two paid volunteering days per year.*, • Bupa Private Medical and Dental Insurance*, • Pension with The People’s Pension (employer contribution 4% of base salary)*, • Generous paid parental leave, • Life enrichment allowance of up to £80 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy, • Dedicated learning opportunities including using tools like Linkedin Learning with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more, • Our open and transparent culture is reflected in our “Better Together” motto and we bring this to life by meeting once a week for our global weekly roundup (OnThursday); holding quarterly team socials, and other company-wide social events, • Expense up to £300 (or local equivalent) to purchase workstation setup equipment, • The opportunity to become a member of Entrust’s resource groups in order to learn different skills in our belonging groups Ready to Make an Impact? If youʼre excited by the prospect of working on cutting-edge machine learning for problems that matter, Entrust is the place for you. Join us in making a difference. Letʼs build a more secure world—together. Apply today! NO AGENCIES, NO RELOCATION #LI-GR1 #ENT123

Senior ML Engineer – Remote (UK) Most AI products are wrappers. We're building the real thing, an agent that takes on genuine tasks for everyday users: running errands, managing workflows, holding context across long and complex conversations. Reliable by design, not by luck. We're small, we move fast, and the ML layer is the product. We need someone to own it. The role You'll bridge research and production, taking ideas and turning them into systems that run at scale, stay reliable, and get better over time. Full-stack ML ownership: from raw data to deployed model. Day to day that looks like: • Building end-to-end pipelines across data, training, evaluation, and inference, • Adapting and fine-tuning models with modern techniques: LoRA, QLoRA, SFT, DPO, distillation, • Architecting inference systems that hold up under real latency and cost constraints, • Creating data pipelines that produce high-quality synthetic and real-world training data, • Running evaluation that goes beyond benchmarks: robustness, safety, bias, production behaviour, • Owning deployment: GPU optimisation, quantisation, memory efficiency, scaling, • Working directly with application engineers so ML integrates cleanly into backend, mobile, and desktop Your skills and experience • Deep understanding of deep learning and transformer architectures, • Proven experience training, fine-tuning, or shipping large-scale models in production, • Strong with at least one major ML framework (PyTorch, JAX) and quick to pick up others, • Familiar with distributed training and inference tooling: DeepSpeed, FSDP, Megatron, ZeRO, Ray, • Engineering discipline: code that's readable, robust, and maintainable, • Experience optimising for GPU constraints: quantisation, mixed precision, memory, • Comfortable taking ownership of ambiguous problems from zero to one, • Ships, iterates, learns from production Nice to have • LLM inference frameworks: vLLM, TensorRT-LLM, FasterTransformer, • RLHF: PPO, DPO, ORPO, • Open-source contributions to ML or systems libraries, • Scientific computing, compiler, or GPU kernel experience, • Multimodal or diffusion model background, • Large-scale data processing: Arrow, Spark, Ray Why join At a big company, ML work gets absorbed into a machine. Here, your systems are the product. You'll work closely with research and engineering leadership, have real influence over how the architecture evolves, and see the direct impact of your work on users. If you want to build ML infrastructure that actually matters, this is it.

Business Development Manager Sector: Life Science (academia and Industry) Location: home office based with c2-3 days travel per week Salary: competitive package based around skills and experience We are excited to be working with an established and innovative supplier of Life Science services to industry and academia and supporting their search for a Business Development Manager. They are seeking an experienced New Business Developer who has an established background selling drug discovery; industry and academia. This is "new business" focused role will be home office based with regular travel to customer sites and to their facilities in the north of the UK. It’s an exceptional opportunity for an ambitious and success orientated individual who is looking to play a pivotal role in developing the division and will see very real results from their sales efforts. You’ll be working with the Senior Management Team to shape the division and will have a direct impact of the formation and development of the offering. Specific responsibilities will include: • Lead generation through proactive out-bound activity including client visits, attending events/exhibitions, marketing campaigns and cold calling. Nurturing leads and closed for service sales, • Develop and maintain the customer CRM, • Host customers at site to demonstrate capabilities & service offering, • Negotiate packages with customers, • Develop sales proposals and prepare standard sales contracts in line with specific procedures., • Perform market/competitor research, • Liaise with senior management over the innovation and development of service offering to establish a foothold in the market and carve a niche to meet the demands of customers The successful candidate will have the following skills and experience: • Degree qualified in a Life Science related discipline (or with equivalent industry experience working in or selling similar lab services), • Proven experience of working in a scientific sales environment, • Well networked with Academics and Pharma/Biotech professions within the Life Sciences sector, • Experienced in a tender sales process, • Fluent in English with excellent verbal and written communication skills, • Knowledgeable of Assay validation, cell/tissue culture, bio-, tissue, cell- banking, • Ability to build and establish collaborative relationships, • Self-motivated, positive and ambitious, • Driver with full UK driving license and able to travel regularly to cover territory; including visiting to their Head Office in the north For additional information about this exciting new opportunity please contact Richard Taylor

In this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers. Poolside exists to be this company: to build a world where AI will be the engine behind economically valuable work and scientific progress. We believe the fastest way to reach AGI lies in accelerating software development itself, by reshaping the developer experience with agentic systems, coding assistants, and the frontier models that power them. We deploy these systems directly into the development environments of security-conscious enterprises. We were founded in the US and have our home there, but our team is distributed across Europe and North America. We get our fix of in-person collaboration (and croissants) in Paris each month for 3 days, always Monday-Wednesday, with an open invitation to stay the whole week. We also do longer off-sites once a year. Our team is a multidisciplinary blend of research, engineering, and business experts. What unites us is our deep care for what we build together. We’re in a race that requires hard work, intellectual curiosity, and obsession; to balance this intensity, we’ve assembled a team of low ego and kind-hearted individuals who have built the special culture Poolside has. By building collaboratively and with intention, we create a compounding effect that moves the entire company forward towards our mission: reaching AGI through intelligence systems built for software development. This is a role for someone who holds the bar across everything Poolside puts into the world. You'll work across the full surface area of our experience. Product, marketing, systems, and brand; bringing the same level of craft and attention to a complex product flow as you do to a polished marketing page. You'll write reusable, production-quality code alongside your design work, contributing components and systems that the engineering team actually builds on. You'll partner closely with other Designers and Design Engineers on brand and external surfaces, and with Product Engineering on implementation. The scope here is intentionally wide. We're a small team with cross-pollinating skillsets, and this person raises the quality of everything around them. Not by owning a narrow lane, but by holding a high visual bar across the whole company and knowing how decisions in one surface ripple into another. YOUR MISSION To set the experiential standard for Poolside, ensuring everything we ship, across every surface, reflects the quality of the intelligence behind it. Own the quality and consistency of Poolside's design across product, marketing, brand, and systems surfaces. Build and evolve our design system; not just a component library, but a design pipeline that scales with the company. Write reusable, production-quality frontend code: components and systems others can build on, not one-off pages. Partner with Design Engineers on external-facing surfaces, ensuring brand and marketing reflect the same bar as the product. Collaborate with Product Engineering to bring design system work into production and keep it alive as the product evolves. Hold the visual bar across the team. Your taste and judgment should be raising the standard for everything around you. Visual craft; high polish, typographic sensitivity, and attention to detail across product and brand contexts. You produce work that looks as good as it functions. Experience designing across the full experience of a company: product, marketing, design systems, and brand. Not a specialist in one. Proficiency producing reusable, clean frontend code. Components and systems, not just one-off pages. A genuine history of building with code: scripts, tools, personal projects shipped from scratch. You can speak concretely to what you built and why. Genuine familiarity with developer workflows; version control, local environments, the command line, deployment pipelines. Not as a curiosity, but as your natural habitat. Deep experience designing for developer tools specifically, not general consumer or enterprise products. Experience building design systems, not just maintaining them, but defining the pipeline and getting others to adopt it. Systems thinker: you see how decisions in one surface affect another and design accordingly. Intro call with one of our Designers Design interview with a Design Engineer (Brand). Come with 1–2 projects you forged, not just executed Technical interview with a Product Engineer. Expect questions on how you build and think about developer workflows Team fit call with the People team Final interview Fully remote work & flexible hours 37 days/year of vacation & holidays Health insurance allowance for you & dependents 16 weeks of flexible, full-pay parental leave Well-being, always-be-learning & home office allowances Company-provided equipment Frequent team get togethers Diverse & inclusive people-first culture

You will bring a relevant IT qualification such as a degree, CompTIA A+, MCSE or equivalent, or comparable practical experience, together with at least 1-2 years' experience in a first or second line support desk environment. Strong working knowledge of Microsoft environments, M365 administration, Active Directory administration, desktop/laptop troubleshooting, ITSM ticket management and ITIL-based incident processes will be important.Just as important will be your approach: calm, personable and customer-focused, with excellent communication skills and the ability to triage issues, manage competing priorities and record clear resolution notes. Experience troubleshooting audio-visual and conference systems is essential, and experience deploying or configuring Apple Mac hardware and software, together with ITIL v4 Foundation certification, would be an advantage.The Royal Botanic Gardens, Kew (RBG Kew) is a leading plant science institute, UNESCO World Heritage Site, and major visitor attraction. Our mission is to understand and protect plants and fungi for the well-being of people and the future of all life on Earth.We are working to end the unprecedented extinction crisis and to help create a world where nature is protected, valued by all and managed sustainably. We will achieve these goals by drawing on our leading scientific research, unrivalled collections of plants and fungi, global network of partners, inspirational gardens at Kew and Wakehurst, and our 260 years of history.Join us on our journey as protectors of the worlds plants and fungi.The salary for this position is £34,216 - £37,966 per annum (pro rata) [Band C]Our fantastic benefits package includes opportunities for continuous learning, a generous annual leave entitlement, flexible working to help you maintain a healthy work-life balance, an Employee Assistance Programme and other wellbeing support such as cycle to work scheme and discounted gym membership. We also offer a competitive pension, an employee discount scheme and free entry into a wide range of national museums and galleries, as well as access to our own beautiful gardens at Kew and Wakehurst.If you are interested in this position, please submit your application through the online portal, by clicking Apply for this job.At Kew, our strength lies in the diversity of our people and the insights they bring. When you join us, you will find an organisation that values your perspective and lived experience. You will receive support to achieve your full potential and access opportunities to develop and progress. Our commitment to equity, diversity, and inclusion is ongoing, shaped by the people who work here and the communities we serve. As a disability confident employer, we are breaking down barriers to be an inclusive workplace for everyone.Whoever you are, and however you experience the world, there is a place for you to grow and belong at Kew.No agencies please.TPBN1_UKTJ

About the role We are looking for a Domain Architect to design lab informatics and scientific data-management architectures across multiple systems, and to align them with scientific and business needs. What we expect • Deep experience in life-science, pharmaceutical or biotech laboratory digital transformation., • Practical experience with ELN, laboratory inventory, scientific registration and sample-management solutions., • Strong understanding of plate-based assays, imaging, omics and high-throughput laboratory workflows., • Experience with laboratory automation, robotics, instrument integration and scheduling or orchestration., • Experience designing lab informatics and scientific data-management architectures across multiple systems., • Strong knowledge of APIs, event-driven architecture, microservices, cloud-native patterns and domain-driven design., • Experience designing FAIR-aligned scientific data architectures., • Practical experience with metadata, data lineage, ownership, data catalogues and reusable research data products., • Experience leading or supporting technical product evaluations and proofs of concept., • Experience working within enterprise architecture governance and Technical Design Authority processes., • Ability to explain complex architecture options to scientific, business and technical stakeholders. Nice to have • Hands-on experience with platforms such as Dotmatics, Revvity Signals, Benchling, Mosaic, LabVantage, TetraScience or comparable solutions.

DOE + Bonus + Car or Allowance.A leading dental manufacturer is looking for a Business Development Manager to drive growth by identifying and converting new business opportunities across the South East.This role focuses on engaging with prospective clients, nurturing leads, and supporting the hando

An exciting opportunity has arisen to join a newly funded, early-stage biotechnology company developing a highly ambitious programmable therapeutics platform for oncology. Having recently secured significant seed funding, the company is now expanding its scientific team as it moves from platform validation towards deeper preclinical development across multiple cancer indications. Their technology is focused on using programmable biology to recognise disease-defining genetic features and selectively eliminate target cells, opening the potential to address areas of oncology that remain difficult to drug through conventional therapeutic approaches. This is a high-impact opportunity for a scientist who can bridge in vitro cell biology with in vivo pharmacology, generating the preclinical efficacy, biodistribution, safety and translational data that will shape the company’s path toward the clinic. Why Join? • Join a recently seed-funded biotech at a pivotal stage of growth, • Help build a novel oncology platform targeting disease biology at the genetic level, • Play a central role in shaping preclinical strategy across multiple indications, • Work at the intersection of in vivo pharmacology, translational biology, gene editing and oncology, • Take ownership of studies that will directly influence future clinical development About the Role You will lead animal model and translational biology programmes across multiple oncology indications. The role will involve designing and overseeing studies in disease-relevant animal models, coordinating with CRO partners, and generating the preclinical datasets needed to support therapeutic development. This position will suit a scientist who is equally comfortable designing mouse studies, interpreting biodistribution data, working hands-on with cell-based models and translating complex biological findings into actionable development decisions. Key responsibilities: • Designing and monitoring in vivo efficacy and biodistribution studies across multiple oncology indications, • Leading animal model studies and coordinating outsourced work with CRO partners, • Designing and executing immunogenicity assessments, including anti-Cas human PBMC ELISpot screens for pre-existing immunity and redosing scenarios, • Establishing and running patient-derived organoid assay panels to evaluate therapeutic selectivity, • Defining pharmacodynamic readout strategies, including tumour molecular analysis and biomarker monitoring, • Performing hands-on cell line experiments to support translational studies, • Interpreting preclinical efficacy, safety, biodistribution and pharmacodynamic data to inform programme direction, • Working closely with internal scientific leadership and external partners to progress programmes toward the clinic About the Candidate Essential • PhD in Cancer Biology, Pharmacology, Immunology or a related discipline, • 5+ years of hands-on in vivo and in vitro cell line experience, • Experience working with bladder cancer, liver cancer and/or lung cancer models, • Experience with local or intravesical delivery in rodent models, • Strong understanding of biodistribution study design and tissue analysis techniques, including qPCR and IHC, • Hands-on patient-derived organoid culture and functional assay experience, • Familiarity with immunology assays, including ELISpot, • Experience designing, managing and interpreting outsourced studies with CRO partners Desirable • Experience with GLP-adjacent or GLP-compliant preclinical studies, • Familiarity with Australian and/or US regulatory frameworks for animal studies, • Prior experience working on in vivo gene therapy or gene editing programmes, • Experience contributing to preclinical packages supporting IND-enabling development This is an excellent opportunity to join a recently funded oncology biotech at an early and highly influential stage, working on a novel therapeutic platform with the potential to reshape how genetically defined cancers are targeted.

Location: Wandsworth, London, UK (Hybrid Working) Type: Full Time, Permanent Contract Working Hours: Monday to Thursday, 9:30 am - 6:00 pm, Friday 9:30 am - 5:00 pm (1-hour lunch break) Company Overview FAC Technology is a deep-tech company based in London. Founded in 2011, it specialises in the research and development of advanced materials for the aerospace, space, automotive and defence sectors. The company’s materials have best in class properties including: ultra-high toughness, fire resistance, high thermal conductivity, and being derived from sustainable ingredients. Further, the company has developed best-in-class drone systems that are based on proprietary advanced composite airframes. In addition to the success in the drone market, the company has developed adhesives for the next generation of electric vehicles, and potting compounds for satellites and spacecraft. The company retains close links with Imperial College London and Queen Mary University for the research, development and advancement of composite materials. Role Summary As FAC Technology’s growth accelerates, it is seeking a skilled Composites & Resins Scientist to facilitate the technical development of advanced materials, including resins, adhesives and potting compounds. You will work across all the range of product offerings available at the company, as well as pursuing speculative development opportunities for prospective advanced materials technologies. This is a heavily practical scientific role, with comprehensive laboratory skills and experience being essential in order to perform the technical development as well as use and maintain the various pieces of processing and measurement equipment available on site. Key Responsibilities • Lead the technical scientific development of advanced composite materials, • Engineer bespoke resin formulations according to customer requirements, performing structured iterative scientific research cycles on prototypes, • Work with the engineering team to concurrently develop and enhance composites processing technologies, • Use and maintain scientific processing and measuring equipment, • Collate and organise test data results, • Maintain an awareness of emerging technologies in the field, • Identify at a high level potential further materials development opportunities, • Work with partner organisations and universities to facilitate research and development, • Identify and progress applications for research grants to facilitate development Background & Experience • At least 4 years’ experience working in an advanced laboratory environment, • Experience with scientific equipment for materials characterisation, including rheology, DSC, DMTA and mechanical testing, • A scientific or technical engineering background, • Comprehensive knowledge of composites and resins (mainly epoxy thermosets), • Masters or PhD in material science, engineering or other relevant technical field, • Proven track record in scientific research and development, • Experience of applying for and securing scientific research grants or related funding, • Exposure to one or more of the following industries: Automotive (including Electric Vehicles), Aerospace, Space, Defence What We Offer • A competitive and negotiable remuneration package, including a base salary of £50,000 - £55,000 dependant on experience, • A hybrid working option to support work-life balance, • The opportunity to lead the commercial growth of a highly innovative, IP-rich product portfolio How to Apply If you wish to be considered for the role of Composites & Resins Scientist, please send a CV and covering letter via LinkedIn or to jobs@factechnology.com.

An innovative biopharmaceutical organisation is seeking an experienced Associate Director within Safety Surveillance and Aggregate Reporting to provide scientific and strategic leadership across global pharmacovigilance activities. Key Responsibilities • Lead safety surveillance activities for assigned products., • Oversee signal detection and risk management activities., • Author/review aggregate safety reports including DSURs, PBRERs, and PADERs., • Lead development of EU and core Risk Management Plans (RMPs)., • Support safety sections for global regulatory submissions (NDA/MAA)., • Manage clinical and post-marketing safety activities., • Ensure compliance with global pharmacovigilance regulations., • Collaborate cross-functionally and mentor junior team members. Requirements • Degree in Life Sciences or related field; advanced degree preferred., • Extensive pharmacovigilance experience within biotech/pharma., • Strong expertise in signal management, aggregate reporting, and RMPs., • Experience supporting global filings and regulatory interactions., • Strong leadership, communication, and stakeholder management skills. This role requires half the week to be spent on-site.

The Opportunity An excellent opportunity has arisen for a Catastrophe Modeller to join a high-performing analytics team within a leading insurance and reinsurance environment. This role will suit an analytically minded professional with strong technical modelling capability and a genuine interest in catastrophe risk and portfolio analysis. You will play a key role in delivering insight-driven modelling outputs to support brokers, clients, and reinsurers, while contributing to the continued development of innovative modelling solutions. Key Responsibilities • Perform detailed catastrophe modelling analysis across client portfolios, • Interpret and present modelling outputs to both technical and non-technical stakeholders, • Support brokers with data-driven insights and scientific evidence, • Present modelling assumptions, methodology, and results to clients and reinsurers, • Translate business and broker requirements into practical modelling solutions, • Manipulate, validate, and structure complex datasets for modelling purposes, • Contribute to the development of new tools and approaches to enhance modelling capability, • Stay up to date with latest developments in catastrophe modelling and analytics technology, • Maintain and strengthen relationships with internal teams and external stakeholders Who We Need Technical Expertise • Strong experience with vendor catastrophe models (e.g. RMS Risk Modeller/RiskLink, AIR Touchstone), • Advanced Excel and SQL skills, • Strong analytical capability and comfort working with large datasets, • GIS and Python experience advantageous Core Competencies • Strong communication and presentation skills, • Ability to explain complex modelling outputs clearly, • Highly organised with the ability to prioritise and manage multiple deadlines, • Detail-oriented and methodical in approach, • Collaborative team player with a proactive mindset

Associate Medical Strategy DirectorWho are we?OLIXIR is a next‑generation healthcare agency, created by uniting FCB Health London and McCann Health London as part of Omnicom Health’s evolving European structure. By bringing our teams together and combining our strengths, we’re building something entirely new: a more agile, more connected, and more ambitious partner for healthcare brands. OLIXIR blends award‑winning creative excellence with deep scientific expertise, strategic thinking that drives meaningful brand growth, and fully integrated production at scale. We’re also unlocking new innovation opportunities, powered by AI and future‑focused ways of working. While our name is new, our people, values, and commitment are not. You’ll find the same trusted teams, the same high standards, and the same passion for creating work that makes a real difference to patients and healthcare professionals, alongside new possibilities to grow, innovate, and shape what’s next. OLIXIR is built for the future of healthcare communications - and this is just the beginning. Job ResponsibilitiesKnowledge/ExpertiseApply disease state, clinical knowledge, and strategic skill set to inform medical strategic recommendationsDemonstrate thought leadership through internal and external thought piecesStrategic Skills/ToolsProficiently provide strategic medical recommendations based on the changing market to enhance brand communicationsKeep abreast of new and changing trends in our industry to ensure we provide the most “up-to-date” recommendations for our brandsRepresent the medical strategy discipline by participating in key client-led workshopsBusiness developmentSupport new business by providing senior counsel on medical strategy in pitchesClient RelationshipsDevelop relationships with senior clients for your multiple accounts, ensuring the medical strategy team meet expectationsDisability ConfidentAs an employer committed to accessibility and disability inclusion, we strive to develop a diverse workforce that provides us with a wider range of skills and experience. We are continuously improving our recruitment process to support individuals with physical or learning disabilities. The goal is to improve accessibility across all aspects of Olixir to hopefully encourage potential job applicants to join us.If you have a disability, a learning difficulty such as dyslexia, a medical condition or an individual need – which you believe may affect your performance in selection, we’ll be happy to make adjustments to our processes to enable you to perform at your best How to apply?If this role is of interest to you please apply by following the link in this advert and uploading your CV.