Phd jobs in Reino Unido

Job title: Lead Researcher Location: Central London Salary: £54,554 Flexible working: We recognise the importance of a good work-life balance, and while this is an office-based role, part-time, compressed hours, and job-sharing options are all possible. You can find out more about flexible working at MI5 on our website. About us MI5 keeps the country safe from serious threats like terrorism and from attempts by states to harm the UK, its people and way of life. We carry out investigations by obtaining, analysing and assessing intelligence, and then work with a range of partners, including MI6 and GCHQ, to disrupt these threats. Through our protective security arm, we provide advice and guidance to government, businesses and other organisations on how to keep themselves safe. A role in MI5 means you’ll do unique and challenging work in a supportive and encouraging environment, making a real difference to UK national security. The role As a Lead Researcher, you’ll bring your specialist STEM knowledge and experience in conducting Scientific research that is both rigorous and ethical to MI5 and MI6, helping to address mission-critical priorities. You’ll join a joint MI5–MI6 science team made up of researchers, scientists, leaders, and strategists. Working together, you’ll explore opportunities created by scientific and technical advancements and share your findings to benefit the wider intelligence community. Managing the end-to-end delivery of scientific research projects will be a key part of your role. The work is highly varied; you’ll be shaping ideas and securing agreement from stakeholders, carrying out detailed analysis of your findings, and ensuring your research delivers value for money. Through a mix of individual and cross-team projects, your ideas will help unlock innovative scientific solutions that meet unique customer and stakeholder needs. This includes advancing our understanding of AI, machine learning, and data science, and developing solutions that strengthen our capabilities in these areas. Communication is central to the role. You’ll share research with a broad range of technical and non-technical audiences, collaborate with other researchers, and help build an inclusive scientific community. You might deliver a research briefing to senior leaders, take part in a poster session to explain your latest scientific advancements to colleagues across the community, as well as oversee the work of junior researchers. A significant portion of your time will involve working with your immediate team, the wider organisation, customers, stakeholders and industry partners to understand their needs. Please note, formal line management responsibilities aren’t expected in your first year, but we welcome candidates interested in developing into leadership roles in the future. About you If you’re a STEM researcher nearing the completion of your PhD (viva scheduled to take place within the next 6 months), we’d love to hear from you. This role is designed for someone with a background in a broad range of STEM disciplines. This includes but is not limited to AI, machine learning, natural sciences engineering, or mathematics. Please don’t rule yourself out. In addition to your ability to independently deliver research, if you have programming skills we’d love to hear from you. Working closely with colleagues and teams across our organisation requires excellent collaboration and interpersonal skills. Equally important is the ability to explain complex concepts clearly to those unfamiliar with scientific details, whether through group presentations or one-to-one conversations, ensuring ideas are understood and valued. You’ll \n share your expertise with clarity, foster an inclusive environment, and represent your research area confidently across the organisation. And of course, an analytical approach underpins every task, along with the confidence to choose the most effective methods for achieving results. You’ll deliver solutions on time and with impact, drawing on robust problem-solving skills and sound judgement to ensure projects are firmly grounded in evidence. Training and development When you join, you’ll have a ‘buddy’ to help you settle in and ongoing support from your line manager. You’ll also receive an organisation-wide induction as well as an introduction to the Science Directorate, which includes new joiner packs and meetings with our director, Chief Scientific Adviser and deputy directors. Plus, there’ll be opportunities to join science community events and shadow other teams. You’ll also have a personal development programme tailored to your needs, identifying any on-the-job and formal training you may require to continue growing your skills. In addition to your tailored development programme, you’re surrounded by fellow scientists and researchers who share your enthusiasm for STEM. We place significant value on knowledge sharing, ideas, and insights. You can expect to deepen your understanding of your specialist area and gain exposure to other scientific fields within the UK Intelligence Services. Rewards and benefits You’ll receive a starting salary of £54,554, plus other benefits, including:  25 days annual leave, automatically rising to 30 days after 5 years' service, and an additional 10.5 days of public and privilege holidays  Opportunities to be recognised through our employee performance scheme  Interest-free season ticket loan  Dedicated development budget  Excellent pension scheme  Cycle-to-work scheme  Facilities such as a gym, restaurant, and on-site coffee bars (at some locations)  Paid parental and adoption leave Equal opportunities At MI5, diversity and inclusion are critical to our mission. To protect the UK, we need a truly diverse workforce that reflects the society we serve. This includes diversity in every sense of the word: people with different backgrounds, ages, ethnicities, gender identities, sexual orientations, ways of thinking and those with disabilities or neurodivergent conditions. We therefore welcome and encourage applications from everyone, including individuals from groups that are under-represented in our workforce, such as women, people from ethnic minority backgrounds, people with disabilities, and those from low socio-economic backgrounds. Find out more about our culture, working environment, and commitment to diversity on our website. We’re Disability Confident MI5 is proud to have achieved Leader status within the Department for Work and Pensions’ Disability Confident scheme. This initiative encourages employers to think differently about disability and take action to improve how they recruit, retain, and develop disabled people. \n As a Disability Confident Leader, we aim to ensure that a fair and proportionate number of disabled applicants who best meet the essential criteria for this position, will be offered an interview, if it is practical for us to do so (this is known as the Offer of an interview). To be considered for an interview, you must meet the essential criterion outlined below. This will be assessed during the application sift stage:  Candidates with a PhD in a relevant STEM field (e.g., computer science, mathematics, physics, engineering) or a related discipline with significant quantitative training. There is a wide range of extra support available throughout the recruitment process to enable you to perform at your best. Please see our website for information on reasonable adjustments we can offer. What to expect Our recruitment process is fair, transparent, and based on merit. Here is a brief overview of each stage, in order: 1. Application sift: looking at your motivation for the role and the organisation. Before you apply To work at MI5, you must be a British citizen or hold dual British nationality. Read about our eligibility criteria. This role requires the highest security clearance, known as Developed Vetting (DV). It’s a process, undertaken by everyone in the UK Intelligence Community. Find out more about the vetting process. Please note: we have a strict drugs policy. Once you start your application, you must not take any recreational drugs, and you’ll need to declare your previous drug use at the relevant stage. Before you apply, we advise setting up a separate email address for your contact with us to ensure your personal and application correspondence remain separate. Try to avoid including identifying features in your email address, such as your first and/or surname or date of birth. This is good practice and will help you manage your application more securely. The role is based in Central London, so you’ll need to live within a commutable distance. Please consider any financial implications and practicalities before submitting an application. A loan is available to support people relocating to London. Please note: you should only launch your application from within the UK. If you are based overseas, wait until you visit the UK to start your application. Applying from outside the UK will affect our ability to progress your application. You should not discuss your application with anyone other than your partner or a close family member. Right to withdraw statement: \n Please be aware that we reserve the right to bring forward the closing date for this role from the original date once a certain number of applications have been received. Please keep this in mind and submit your application at your earliest convenience to avoid disappointment.

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for an expert Mathematician (part-time work from home) to help advance AI development. As a member of DataAnnotation’s Math team, you’ll be part of a growing community of over 100,000 experts who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with state-of the art AI models to take on programming tasks that include solving challenging math problems and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you’ll receive an email confirmation, and paid work will become available to you through our platform. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Give AI chatbots diverse and complex mathematics problems and evaluate their outputs, • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning #math

Department: Academic/Bath Spa University partnership (BSU) Location: Greenford or Stratford (On-Site) Salary: £55,000 Type of Contract: Full-Time, Permanent (40 hours per week) Our Vision: Changing lives through education. The role: We are currently seeking Lecturers to teach across a range of undergraduate levels as part of our BSc (Hons) Construction Management programme. Due to our delivery model, we require flexibility to teach during weekdays, evenings and at weekends. Please note this role is not eligible for visa sponsorship. What you'll be doing: As a Lecturer in Construction Management at Global Banking School, you will deliver modules related to the principles and practices of construction management, including the legal, environmental and technological context of today’s construction industry. You will develop and deliver comprehensive course materials, undertake all aspects of learning, teaching and assessment of students and keep up to date with latest developments in your field and student support practices. Responsibilities include: • All aspects of planning, delivering, and assessing student work, ensuring that all learning outcomes are met, • Developing, updating, and improving course materials as appropriate, • Using a variety of learning and teaching methods/materials, • Actively engaging in staff development activities, peer observations, meetings and other administrative duties, • Understanding and keeping up to date with latest developments in your field and student support practices, • You will hold a Master's degree in a relevant subject area (PhD desirable), • You will have previous UK HE lecturing experience in the wider subject area, • You will be able to demonstrate extensive knowledge of relevant subject matter, • You will have experience supervising student work and providing support and feedback, • You will have experience of accurate reporting and ability to maintain thorough and organised student records, • You will be able to work under pressure, plan and prioritise own workload to meet tight deadlines, • You will have excellent communication, interpersonal and team-working skills, • You will hold a Postgraduate Certificate of Academic Practice or equivalent teaching qualification (or commitment to enrol on a teaching programme during the probationary period and complete within three years) or Fellowship of HEA (or international equivalent), • 25 days annual leave, plus 8 public holiday, • 1-day extra leave per year of service, up to a maximum of 5 days, • Workplace pension scheme, • Tuition reimbursement for career development courses, • Flexible Benefits: Cycle to Work, Workplace Nursery, Tech scheme and much more, • Perks@Work discounts platform, wellbeing centre and much more, • Reward and recognition programme, • £500 award employee referral scheme — John Traichaisit, Consultant Lecturer GBS is committed to equality, diversity and inclusion and providing a workplace free from discrimination or harassment. We welcome applications from all backgrounds and communities. We take our core values seriously and work hard to create an environment where everyone feels welcomed.

Role: Staff AI Engineer - GenAI (Dubai based) Join a high-performing Data Science & MLE team whose mission is to drive competitive value through scalable AI solutions. The team builds models that enhance user experiences, enable better decision-making, improve operational efficiency, and shape the regional AI ecosystem. As a senior technical leader, you’ll help define the future of personalization and user engagement using Generative AI and advanced machine learning. Key Responsibilities • Lead end-to-end AI transformation focused on personalization in a consumer-facing application., • Define and execute a long-term vision for customer acquisition and engagement strategies powered by data and AI., • Conduct exploratory analysis to understand user behavior, discover optimization opportunities, and develop behavior models to inform product enhancements., • Design and deploy data/ML instrumentation to extract insights and optimize the product experience., • Provide strategic product guidance through data-driven recommendations, experimentation insights, and root cause analyses., • Build and scale machine learning algorithms and pipelines to production using big data technologies., • Develop and deploy retrieval-augmented generation (RAG) systems and LLM-based applications., • Design and evaluate A/B tests and communicate results across cross-functional teams., • Define, implement, and monitor key performance metrics for AI-driven product features., • Stay up to date with industry advancements in data processing and AI/ML, and introduce best practices into the organization. Requirements • 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data., • Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred), • Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment)., • Expertise in deep learning architectures (e.g., attention models, transformers, retrieval models)., • Hands-on experience with LLMs and GenAI technologies., • Strong programming and problem-solving skills with proficiency in Python, SQL, Spark, and Hive., • Deep understanding of classical and modern ML techniques, A/B testing methodologies, and experiment design., • Solid background in ranking, recommendation, and retrieval systems., • Familiarity with large-scale data tools (Hadoop, BigQuery, Amazon EMR, etc.)., • Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy., • Bonus: Experience with geospatial data and advanced analytics platforms.

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 Python skills, as per 5+ years of professional experience in a technically and/or scientifically complex and competitive environment, especially in Financial Markets., • 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., • Knowledge of SQL for database management and query optimization., • Proficiency in Linux and Docker, ideally including system administration and containerization for deployment and scaling. Preferred Skills & Experience: • Quantitative Finance experience and knowledge strongly preferred, most especially to include a deep understanding of Futures and Systematic Trading, • Experience in developing financial Backtesting systems for Quantitative Strategies., • 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.

Safety Engineering Manager – Autonomous & AI Systems Location: London (3 days in office, hybrid) Employment Type: Permanent, full time About the company The company is a fast‑growing deep‑tech start‑up building the next generation of safety technology that enables complex autonomous and AI‑driven systems to operate safely in the real world. Its software provides a trust layer for physical AI and autonomous platforms, ensuring they behave safely, predictably and in line with demanding regulatory standards across sectors such as aerospace, robotics and advanced mobility. The organisation is on a mission to set new industry benchmarks for safe, compliant and high‑performance autonomous systems, and is looking for people who are energised by solving hard, meaningful problems in a start‑up environment. The role The business is seeking an experienced Safety Engineering Manager to lead safety activities for its cutting‑edge assurance products for autonomous and AI‑enabled systems. The role holder will play a key part in ensuring the platform meets stringent safety and certification requirements, helping customers deploy advanced autonomy safely and with confidence. The Safety Engineering Manager will combine deep domain expertise in safety‑critical systems with a hands‑on, collaborative approach, working closely with systems, software, hardware and machine learning teams. This is a high‑impact position with significant ownership and the opportunity to shape safety engineering practices, tooling and standards from the ground up. Key responsibilities • Lead and perform safety analyses such as HAZOP, FHA, FTA and FMECA for the company’s autonomy assurance products and components., • Develop safety requirements, safety cases and safety‑critical system architectures in line with relevant industry standards and best practice., • Ensure compliance with applicable safety and certification standards (e.g. DO‑178C, DO‑254, ISO 26262, IEC 61508 and domain‑specific AI/robotics safety guidance)., • Collaborate with cross‑functional teams (systems architecture, software, hardware, ML) to embed safety considerations across the full product lifecycle., • Support safety reviews, audits and certification activities, including engagement with regulators and independent assurance bodies., • Establish and continuously improve safety engineering plans, processes, tools and ways of working as the company scales., • Provide technical leadership, mentoring and guidance to more junior engineers and peers on safety engineering topics. Candidate profile • Degree (BSc/MSc/PhD) in Safety Engineering, Systems Engineering, Aerospace Engineering or a related discipline, with a focus on safety‑critical systems., • Significant experience delivering safety‑critical systems in domains such as aerospace, robotics, autonomous systems, automotive or similar regulated industries., • Strong knowledge of safety engineering methods and tools (e.g. FHA, FTA, HAZOP, FMECA, safety case development)., • Deep understanding of safety‑critical software and hardware development and certification standards (e.g. DO‑178C, DO‑254, ISO 26262, IEC 61508)., • Familiarity with emerging safety standards and guidance for AI and robotics is highly advantageous (e.g. ISO/IEC TR 24028, IEEE P7009)., • Excellent analytical, problem‑solving and decision‑making skills, with the ability to balance rigour with pragmatism in a fast‑moving environment., • Strong communication and collaboration skills, with experience working in multi‑disciplinary teams., • Comfortable in a start‑up setting, enjoying ownership, learning fast, wearing multiple hats and occasionally going the extra mile when required. Rewards and benefits • Competitive compensation package commensurate with experience., • Salary sacrifice pension scheme with matched company contribution., • Access to EV car and cycle‑to‑work schemes., • The opportunity to work on genuinely novel technology shaping the future of safe autonomous and AI‑driven systems, with a high degree of impact and visibility., • A collaborative, high‑energy environment where curiosity, safety and commitment are core values.

About the job Who We Are OpenBet is a global leader in betting and gaming entertainment, trusted by over 200 partners to create memorable winning moments for millions of players worldwide. From processing bets during iconic events like the FIFA World Cup and Super Bowl to pioneering next-gen products like BetBuilder, we continuously redefine the player experience with high-quality content, cutting-edge technology, and advanced player protection tools. For over 25 years, our unbeatable platform has powered the most recognizable betting brands, ensuring peak performance with 100% uptime, unmatched scale, and speed. With 85 licenses, 20 World Lottery Association operators on our customer roster, and a team of 1,200+ experts across 14 countries, we remain at the heart of the industry. Join OpenBet to take your career to the next level and be part of a global innovative team shaping the future of betting entertainment for millions worldwide. The Goal The Quant Development unit of the Data Science team is looking for a Quant Developer that will be responsible for creating and maintaining sports betting forecasting models. The role will be based in London. What you will be doing: • Creates new player props markets from price feed and stats data., • Adds significant new features and components to sports betting models to improve pricing in certain areas and markets., • Owns the team's services such as Alerting for Traders., • Manages data pipelines on the cloud and ensures they are efficient and scalable., • Reduces tech debt whilst working on other tasks, for example introducing a new interface for market contracts., • Collaborates and presents across team functions and communicates technical solutions effectively in Jira, Confluence and code., • Works closely with product owners and software developers to move projects from idea to integration., • Offers critical and concrete feedback in code reviews to ensure robust contributions like suggesting extra tests, spotting inconsistencies and helping resolve problems. The Player • A postgraduate qualification in Data Science, Machine Learning, Statistics, Mathematics or a closely related quantitative field., • 3+ years of working experience or a PhD in a quantitative field., • Advanced programming skills: (a) object-oriented programming (C# or Python) and (b) databases (SQL and NoSQL)., • Experience with various modelling techniques (e.g. Probability Distributions, GLMs, Monte Carlo Simulations, Bayesian Inference, Time-Series Analysis etc.), • A demonstrable interest in developing forecasting models for sports., • A good understanding of betting concepts and markets. Desirable Qualifications • 2+ years working experience in the betting industry., • Knowledge of modern Machine Learning methodologies (e.g. Neural Networks, Random Forests, GBMs, SVMs etc.)., • Experience with cloud computing services., • Experience with version control platforms (e.g. GitHub, Gitlab, Bitbucket etc.), • Experience with Jira and Confluence. Personal Attributes • Fluent in English (written and spoken)., • You must have a strong work ethic and outstanding interpersonal skills., • You must be self-motivated, a team-player and a creative thinker. What’s the Score? Why OpenBet? • The Playground: Join a team of innovators, disruptors, and game-changers who are reshaping the future of betting and gaming., • The Mission: Be part of a mission-driven organization that's committed to revolutionizing the way the world plays., • The Impact: Make a real impact on the world stage, leaving a lasting legacy that transcends boundaries and inspires generations to come., • The Culture: Immerse yourself in a culture of creativity, collaboration, and curiosity, where every idea is welcomed, every voice is heard, and every dream is encouraged., • The Future: Join us on the journey to build the future of betting and gaming, one game-changing innovation at a time. What we can offer YOU: • Attractive benefits, an open and supportive environment as well as a modern and exciting workplace, • The opportunity to interact with global teams on a regular basis as you and our business continues to develop & grow, • Tangible and genuine development - at OpenBet, you can take your career where you want it to go!, • And if that’s not enough; enjoy flexible working whilst we provide you with the guidance and development skills you need to progress and enhance your career, • We have a collaborative office environment with our team members in office 2 days per week. At OpenBet, we celebrate diversity and believe in creating an inclusive environment where every voice is valued and respected. We're committed to building a team that reflects the rich tapestry of humanity, embracing individuals from all walks of life, backgrounds, and identities. Join us in shaping the future of iGaming, where diversity isn't just celebrated—it's celebrated.

Wearable Technology Specialist This is a rare opportunity to join as a first technical hire (Founding Engineer) at an early-stage wearable technology startup focused on ushering in a new era of health, tech and AI consumer use. You will be instrumental in co-designing and building a signature MVP from scratch with the Founder & CEO. Someone with big ideas but a keen eye for detail would be ideal. This is a paid, part-time consultancy role demanding 1 day a month initially with the possibility of much more if the MVP is successful. The Founder & CEO You will be providing one-on-one counsel to the Founder who has a strong wellness and healthcare vision for game-changing wearable devices, a PhD in Biochemistry from the University of Cambridge and 13+ years delivering medical consulting for top-tier Pharma and Tech giants within both corporate environments and through agile consulting expertise. Your technical expertise will complement the Founder’s strong scientific and clinical expertise. With a relentless passion for accuracy within big-picture health, the Founder is committed to extreme field testing. They personally validate sensor performance in diverse conditions, ranging from high-intensity training and aquatic environments to sedentary office settings. The Role This is ideal for someone currently working within a corporate or other full-time setting who has a passion for ‘thinking big’ and refining the next generation of HealthTech. You will provide expertise on MVP design and build in stages across several 1-day consulting instalments in the lead up to fundraising: • Concept and feasibility, • Architecture & requirements (blueprint), • Planning and costs, • Hardware prototyping, • Testing and validation Initial planning stages working with the Founder will be conducted remotely or with an optional London-based space or on-site manufacturing workstation once the hardware prototyping stage is reached. Key Counsel Needed: • Step-by-step plan on building the MVP to match the Founder’s vision, • Cost calculations to build the MVP, • Recommendations on multiple avenues to test technical features in the lead up to the MVP build, • Versatile mindset with the expectation to design, test, refine before we showcase a successful product to investors, • Consideration of efficiency across manufacturing options About You To be successful in this role, you’ll bring: • An engineering qualification, • 2-3+ years’ experience in a role where you have been involved in the design and manufacture of a successful MVP, wearable device or devices, • Exceptional attention to detail, • An appreciation that consumer adoption requires strong usability, • A passion for the Founder’s vision of producing wearable HealthTech to usher in a new era of health, tech and AI consumer use What’s on Offer Within the initial phase: • Limited paid consulting days with a competitive fixed fee and flexibility around your full-time commitments., • Discretionary bonus options based on a successful partnership. This could be a cash bonus, equity in the company, co-founding routes, or long-term role., • The chance to reinvent the wheel for HealthTech in a very selective, lean environment where things can move as quickly as your ideas and execution. If this sounds like you, we’d love to hear from you. Please apply directly or email

Hello! We're looking for an awesome Optical Instrumentation Engineer to join our team on our journey to revolutionize personalized medicine. • System design & assembly: Personally design, build, align, and calibrate novel optical analytical instruments (e.g., Raman, FTIR, fluorescence, scattering) from concept and component selection through to bench assembly and validation., • Hands‑on prototyping: Solve optical/mechanical design challenges, design custom components/fixtures, and iterate rapidly to hit performance targets., • Systems integration: Integrate optics with detectors/light sources, motion/actuation, electronics, fluidics, and software control to deliver fully functional prototypes., • Testing & validation: Plan and execute experiments; analyze data to troubleshoot and optimize SNR, resolution, stability, dynamic range; own verification against specifications., • Technical guidance: Serve as in‑house subject‑matter expert for spectroscopy—advise on component selection (gratings, filters, objectives, fibers, detectors), system architecture, and experimental methodology., • Documentation & knowledge transfer: Maintain design files, BOMs, alignment procedures, and test reports; ensure reproducibility; support IP filings and hand‑off to manufacturing., • Cross‑functional collaboration: Work closely with scientists, assay developers, data scientists, and QA/RA to ensure instruments meet biological, analytical, and regulatory needs., • Safety & compliance: Uphold lab/laser safety; support design controls and documentation aligned with ISO 13485 (and related standards when in scope)., • Innovation: Track advances in spectroscopy/optics; prototype and evaluate new architectures to push platform capability. This role is based in London and collaborates with teams in the UK and abroad. Qualifications • An advanced degree (PhD or exceptional MSc) in Physics, Optics/Photonics, Nanoscience, or related engineering field., • 3+ years industry experience designing, building, and operating complex optical systems from scratch in a lab environment., • Deep, practical knowledge of Raman/FTIR/fluorescence/scattering instrumentation and how to build/align such systems., • Strong hands‑on skills in opto‑mechanics, precision alignment, stray‑light control, and thermal/vibration management., • Experience with data acquisition & control (e.g., Python/Matlab/C++/LabVIEW, pyVISA; motion stages/controllers)., • Plus: Familiarity with optical & mechanical CAD (e.g., Zemax/OpticStudio, SolidWorks/Onshape) and tolerance analysis., • Plus: experience maturing prototypes toward production (DfX, manufacturability, reliability), and mentoring junior engineers/scientists., • Advantageous: fiber optics, micro‑optics, microfluidics, laser safety, electronics, and signal processing/statistics. Cultural Skills ✔️ • Builder’s mindset: hands‑on, resourceful, and relentless about quality., • Low‑ego collaborator who elevates a multidisciplinary team., • Mission‑driven and patient‑centered, comfortable in a fast‑paced startup. iLoF in a nutshell 💡 As personalized medicine becomes the norm, scientists, patients, and healthcare systems worldwide face massive barriers in providing the right treatment to the right patient. Recognized by CB Insights and Financial Times as one of the most promising Digital Health companies in the world, iLoF is building an AI-powered platform capable of transforming precision medicine. Our goal is to become the platform that democratizes access to personalized medicine for millions of people living with complex diseases around the globe. Thanks to our proprietary optical fingerprint library of disease biomarkers and biological profiles we can offer personalized patient screening and stratification in a faster and more affordable way, saving up to 40% of the cost and 70% of the time while enabling a more human patient experience. Supported by leading institutions like Microsoft Ventures, Mayfield, and the Oxford University, iLoF is currently focusing on validating its platform technology in one of the biggest challenges of our times: Alzheimer's, while maintaining ongoing verticals on Digestive Cancer, Stroke, and Infectious diseases. Our Team 🧑🏻‍💻 We are a mix of scientists, entrepreneurs, and inventors based in Oxford and Porto, with a passion for healthcare! Recognized by CB Insights as one of the most promising Digital Health companies in the world and by the Financial Times as a Transformational Business in Healthcare, iLoF has been regularly featured in leading outlets like Tech Crunch, Wired, and Sifted and listed as a rising star in AI-Driven Drug Discovery, Health Screening & Data Analytics. What we value • A Be Kind attitude is the main guideline within iLoF, • A hand in the hammer and another free to support your co-workers as a true team player, • An honest and egoless attitude towards discussions and critics working in good faith, • The braveness to speak your heart in any situation, • Through words or actions be always sure to make a difference at any moment!, • Be proud to drive your responsibilities to success and help others do the same, embracing ownership! Perks 😉 • An exciting future with a deep-tech company selected by Financial Times and CB Insights as one of the most transformative companies in the world, • A high‑paced, flexible environment: adaptable working hours, strong remote work culture, • A stimulating atmosphere with room for creativity – fast‑paced, fun, and energetic start‑up with a friendly culture, • Weekly happy hours with amazing food and drinks, • Free coffee and snacks ☕, • Private healthcare insurance (for employees; contractor benefits to be agreed), • The opportunity to work with a world‑class, talented team – and potentially change healthcare as we know it for millions of patients living with complex diseases around the globe 🧑‍⚕️ We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, click the apply button and join us. You’ve read all this way but you’re missing a skill or two? No problem, it’s our job to upskill you to take your career to the next level. What we’re trying to say is, don’t be afraid to apply if you don’t tick all the boxes.

At Solve Intelligence, we aren’t just "using" AI - we are building the proprietary algorithms that define the future of Intellectual Property. We have real paying users, massive traction, and a mission to build a billion-dollar company. 🏗️ The Role: AI Engineer We are looking for a super-talented engineer to help us build state-of-the-art AI products extremely fast. You will lead the development of algorithms that push the envelope of what is possible with LLMs. What you’ll own: • Production-Ready AI: Develop and deploy proprietary algorithms that significantly increase the quality of generated patents., • SOTA Evaluation Pipelines: Build a robust, high-scale evaluation framework to benchmark our proprietary models and steer the direction of our R&D., • Advanced Prompt Engineering: Research and implement cutting-edge prompting methods to maximize model efficacy., • Full-Stack Impact: While focused on AI, you’ll work across the stack (Python, Postgres, React) to ensure our research translates into a seamless user experience. 💡 About Solve Intelligence We are the fastest-growing startup transforming the IP landscape. Our AI platform manages everything from invention harvesting to patent generation. • Growth: 20-30% MoM revenue growth; selling to 300+ global IP teams (DLA Piper, tech giants, and boutiques)., • Impact: Users report 50-90% efficiency improvements., • Backing: Recently featured in______ following our $40M Series B announcement, bringing our total funding to $55M from elite investors including Y Combinator, 20VC, Visionaries and others. 👋 Co-Founders & Team You will work directly with a founding team of AI PhDs and elite engineers: • ___ (CRO): PhD in AI (Gatsby Unit, UCL), ex-Huawei R&D, former lead at Magic Carpet AI (acquired)., • ___ (CEO): PhD in AI (UCL), published researcher, ex-Dyson and Alan Turing Institute., • ___ (CTO): MEng Computer Science, ex-Qualcomm and Coremont (Brevan Howard). 🚀 Who You Are We are a young company of highly motivated "hackers" building at a relentless pace. • Speed is your default: You want to put things in the hands of customers in days, not months., • You are a grinder: You have a strong work ethic and are willing to go the extra mile (long nights/weekends) to achieve excellence., • You are an optimist: You thrive in a high-energy, positive environment and take extreme ownership of your outcomes. 🛠️ What You Bring Must-Haves: • Expert Python Skills: Deep experience building and shipping AI solutions., • Production Experience: A history of shipping algorithms and/or evaluation pipelines into live environments., • LLM Mastery: Practical experience with prompt engineering and modern LLM architectures., • Technical Versatility: Familiarity with the full stack (Postgres, TypeScript, React)., • Clear Communication: Ability to articulate complex technical decisions clearly. Nice-to-Haves: • Publications at top ML conferences (NeurIPS, ICLR, ICML)., • Familiarity with frameworks like OpenAI Evals., • A history of interesting GitHub contributions or "impressively difficult" side projects. 🎁 What We Offer • Competitive Salary + Significant Equity: We want you to have true ownership in our success., • Growth: Opportunity to work with a world-class team on a genuine rocket ship trajectory., • Support: Full visa sponsorship and private medical insurance., • The Goods: Free meals and a high-performance office culture in London. Ready to build the future of AI? Apply now. 🚀

Applied AI Engineer | London 🚀 One of the fastest moving AI startups in London, backed by some of the world’s top VCs and founded by real entrepreneurs with multiple exits 💸 This is a rare chance to join at an early stage and build at the absolute frontier of applied AI, working directly with the founders on a product already used by global enterprise customers 🔥 Why this is exciting • Build and ship production AI systems including RAG pipelines and AI agents, • Work end to end across backend, infrastructure and AI, • Shape architecture, engineering standards and culture from day one, • Huge ownership and real impact 🧠 What you need • 5+ Years professional software experience (Python), • Excellent Educational Background (BSc, MSc, PhD - 2.1 or higher), • Hands-on experience building and deploying AI applications, • Comfortable moving fast in high ambiguity environments, • Genuine passion for building products that scale 🎁 What is on offer • Very competitive salary + meaningful equity, • Direct access to truly entrepreneurial founders, • A defining role at one of London’s most ambitious startups Challenging and intense, but tons of fun 🙌 Apply here, or pop your CV to to find out more!

Technical Quantitative Developer / Software Engineer with deep Computer Science expertise applied to Python, its libraries and ecosystem as well as professional experience with SDLC tooling, Linux, Docker, and SQL sought to join a specialist London Headquartered Quantitative Hedge Fund. You will join as a more junior member, as part of a small team designing and implementing a central platform for Backtesting, Pricing, Risk and Performance, to be used across all Funds and Investment teams. Finance experience is not an essential criterion. This new, core team collaborate with Quantitative Researchers and Portfolio Managers to design and implement scalable solutions, addressing complex business needs, in particular delivering and maintaining critical components of the Investment Infrastructure, such as the Data Interface Layer, Central Risk Calculations, and Backtesting Frameworks, to be used by diverse Investment teams as part of their daily work. The target architecture will be written in pure Python, with SQL RDBMS, a Dockerised On-Prem RedHat Linux platform. Python is the primarily required skill, however solid professional profiency of building and shipping software in Linux/Docker environments as well as SDLC tooling such as GitLab CI/CD are also required. In return for your Computer Science and Engineer nous, full training on the Quantitative Finance, Hedge Funds and Systematic Investing will be provided. Essential Skills & Experience: • Undergraduate degree in Computer Science, Computing, Software Engineering or similar with top grades from a reputable institution. MSc or possibly PhD level academics in said subject(s) preferred., • Strong Python skills, as per 3+ years of professional experience in a technically and/or scientifically complex and competitive environment., • Proficiency in Linux and Docker including system administration and containerization for deployment and scaling., • 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., • Knowledge of SQL for database management and query optimization. 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.

About the job Who are we and What do we do? ShareChat (Mohalla Tech Pvt Ltd) is India’s largest homegrown social media company and the only local player to achieve profitability in the industry, with 200+ million Monthly Monetizable Users across all its platforms. Founded in 2015, ShareChat has social media brands such as the ShareChat App and Moj App and micro drama app QuickTV under its portfolio. QuickTV, the newest addition to ShareChat's family of apps, crossed the 10 million downloads mark within 3 months of launch and currently has 60Mn MAUs across the network viewing the vertical episodic content. Today, the ShareChat network maintains a whopping 1,000 Cr ARR and is India’s leading social media platform servicing users across the country in 15 regional languages. This growth has led to a 28% YoY revenue growth in the July-Sept (2025-26) quarter and increased it by more than 60% in the Oct-Dec quarter. What does the team do? Serving recommendations to 300+ million users entails developing large scale personalization and recommendation models that understand user needs and preferences in realtime, while also helping creators grow their audiences on our platforms. A subset of the problems we tackle include: • Serving personalized feeds for 300+ million users via real-time candidate generators, multi-task prediction models, whole-page optimization, and in-session personalization., • Nurturing our content and creator ecosystem, and developing models for strategic content valuation. What You’ll Do Within the Sharechat AI team, we are looking for an experienced Staff engineer to lead the engineering efforts around serving personalization models efficiently at scale, leading efforts across 10+ MLEs, SDEs and decision scientists working on feed ranking and candidate generation systems that power Sharechat’s recommender systems. In this role you will help us further improve our recommendation systems in order to drive up user retention and engagement while minimizing server and cloud costs of serving large scale models, and act as a subject matter expert in the recommender systems and ML ranking domains. You would be joining us at an exciting time! The science behind recommendation systems is rapidly changing, and we’re making big progress at a rapid pace. Who are you? • 12+ years of industry experience with a solid understanding of engineering, infrastructure and ML best practices. Strong coding skills with Go or JAVA, • Design and help develop systems that serve recommendations to over 300 million users, • Drive engineering roadmap creation and execution, specifically around feed ranking and recall oriented candidate generation systems, • Provide technical guidance in ranking systems design, implementation & experimentation, and take end to end ownership of ML systems, and key user satisfaction based metrics, • Drive architectural strategy and design for complex ML systems that support the needs of users, creators and content stakeholders, • Familiarity with cloud platforms such as AWS, Google Cloud, or Azure. Knowledge of containerization and orchestration tools like Docker and Kubernetes is a plus., • Experience designing end to end ML data pipelines. Experience with database technologies such as PostgreSQL, MySQL, or MongoDB, Spark, Databricks and stream data processing such as Kafka, RedPanda is a plus., • Direct experience in building and applying large-scale (100M+ users) machine learning solutions for personalizing recommendations., • Hands-on experience building training frameworks and/or serving large-scale models using tools such as Tensorflow or PyTorch is a plus., • You stay up-to-date with the state-of-the-art open source infrastructure solutions applicable to designing and improving large scale recommender systems, data engineering, and machine learning, • You have a Master’s or PhD in Computer Science, statistics, or an engineering field with 5+ years of experience Where will you be? London(Remote) What's in it for you? At ShareChat, our values—Ownership, Speed, User Empathy, Integrity, and First Principles—are at the core of our ways of working. We believe in hiring top talent and grooming future leaders by providing a flexible environment to aid growth and development.

Senior Machine Learning Scientist A fantastic opportunity for a Senior Machine Learning Scientist to work for a health-tech software company developing advanced machine learning models used within clinical research. The organisation applies modern machine learning techniques to complex medical datasets to support better understanding of patient outcomes and treatment response. This is a research-focused role, ideal for candidates who enjoy developing novel deep learning approaches and translating academic research into applied machine learning solutions. You will work on large-scale models and high-performance compute, with the opportunity to publish research while collaborating with engineering teams to ensure work can be taken forward into real-world use. Location: 1 day per week in London, remainder remote (UK based) Salary: £70,000 – £90,000 per annum, with flexibility for the right candidate, plus benefits Requirements for Senior Machine Learning Scientist • Strong experience in research and development of computer vision machine learning models, • Experience implementing state-of-the-art deep learning models in PyTorch, • Experience training large models across multiple GPUs and compute nodes, • Deep understanding of machine learning theory including linear algebra, probability, statistics and optimisation, • Experience with deep learning for computer vision, ideally including 3D imaging and or self-supervised learning, • Strong Python and PyTorch skills, with the ability to read and write high-quality training code, • Experience writing and maintaining production-grade Python code, including optimising training performance, • Experience working with modern development workflows including pull requests, code reviews, documentation and ticketing, • Experience working in cloud environments, • Strong Linux and Git skills alongside modern Python development tooling, • Proactive, self-sufficient and communicative working style, • Strong English written and verbal communication skills, • MSc or PhD in Computer Science or a closely related subject Responsibilities for Senior Machine Learning Scientist • Research and develop advanced deep learning and computer vision models applied to complex medical data, • Work on self-supervised pre-training and supervised learning tasks such as segmentation, classification and regression, • Translate academic research into robust and usable machine learning solutions, • Publish research outcomes in leading conferences and journals, • Collaborate with engineering teams to support downstream deployment and application of models, • Keep up to date with developments in machine learning research and apply them where appropriate What the role offers • A genuinely research-led machine learning position, • Opportunity to publish high-quality research, • Exposure to large-scale datasets and high-performance compute environments, • Hybrid working with a remote-first setup, • Competitive salary with flexibility for exceptional candidates Applications If you would like to apply for this unique Machine Learning Scientist role then please send your CV via the relevant links. We’re committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by separately emailing (if this email address has been removed by the job board, full contact details are readily available on our website). Keywords: Senior Machine Learning Scientist / Machine Learning Scientist / Research Scientist / Applied Research Scientist / Machine Learning Researcher / AI Research Scientist / Computer Vision Scientist / Deep Learning Scientist / AI Scientist / ML Research Engineer / Python / PyTorch / Deep Learning / Computer Vision / 3D Imaging / Volumetric Imaging / Self-Supervised Learning / Representation Learning / Foundation Models / Segmentation / Classification / Regression / GPU Training / Distributed Training / Multi-GPU Training / High Performance Computing / Cloud Machine Learning / Linux

Senior Machine Learning Scientist – Computational Biology (Remote, UK) Location: Remote (UK-based, London time zone) Type: Full-time Focus: Genomics, single-cell biology, production ML systems The Opportunity We’re building production-grade computational methods that turn complex biological data into robust, interpretable biomarkers used daily to advance cancer research and drug development. This is not a purely exploratory research role. You’ll take true end-to-end ownership of methods that sit between raw omics data and biological interpretation — designing them, stress-testing them, and running them reliably in production. If you enjoy combining deep machine learning, real biological signal, and strong engineering practices, this role is built for you. What You’ll Do Own production biomarker methods • Design and implement genomics and transcriptomics pipelines (RNA-seq, single-cell, WGS/WES)., • Turn complex molecular data into scalable, reproducible biomarkers with clear assumptions and limitations., • Develop and fine-tune deep learning models for biological representation learning (e.g. single-cell, multimodal data)., • Prototype AI-driven approaches (including LLMs and agentic workflows) for hypothesis generation and interpretation., • Track new approaches from literature and open source., • Implement, benchmark, and critically assess robustness and generalisability., • Drive adoption decisions based on evidence, not novelty. What We’re Looking For Background • MSc / PhD (or equivalent industry experience) in Machine Learning, Computer Science, Computational Biology, Bioinformatics, or related field., • Strong Python skills with experience building complex ML or data-processing pipelines., • Hands-on experience with omics data (single-cell RNA-seq, bulk RNA-seq, WGS/WES, or multimodal genomics)., • Deep learning experience (e.g. transformers, VAEs, contrastive learning, GNNs)., • Familiarity with production-quality practices:, • Version control (Git), • Reproducibility & testing, • Enjoys owning methods long-term, not just publishing or prototyping., • Comfortable working across biology, ML, and engineering., • Able to clearly explain trade-offs to both technical and non-technical stakeholders.

Job Title: AI Researcher Location: Cambridge or London, UK This is a permanent position with candidates required to do hybrid working in either Cambridge or London. Our client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with human preferences, ensuring they are safe, controllable, and capable of producing high-quality outputs across multiple modalities. You’ll sit at the intersection of RL, LLMs, and generative modelling, helping us build the next generation of foundation models Responsibilities: Develop and refine RLHF algorithms for large language and generative models. Research and implement deep reinforcement learning methods (policy gradients, actor-critic, off-policy learning) for model alignment. Train, fine-tune, and evaluate LLMs and diffusion models at scale. Design experiments to align generative outputs with human and organisational preferences. Collaborate with researchers, engineers, and human feedback teams to build scalable alignment pipelines. Publish findings in top-tier AI conferences and contribute to open-source frameworks. Key Requirements: PhD in Computer Science, Machine Learning, or related field. Publications at NeurIPS, ICML, ICLR, ACL, or related venues. Deep expertise in Reinforcement Learning (policy optimisation, reward modelling, RLHF). Hands-on experience training/fine-tuning generative models (LLMs, diffusion, transformers, GANs). Strong knowledge of deep learning frameworks (PyTorch, JAX, TensorFlow). Proficiency in Python and standard ML libraries. Solid foundations in probability, optimisation, and statistics. Experience working with large-scale distributed training on GPUs/TPUs. If this sounds of interest, please reach out to

We’re seeking a Senior BioMEMS / Microfluidics Engineer to join our growing team and help build the future of wearable biochemical monitoring. You will lead the design, prototyping, and manufacturing of microneedle-based interstitial fluid sampling and microfluidic subsystem - a core part of our wearable molecular sensing platform. About us (Stealth mode): We’re a stealth, venture-backed healthtech building a next-generation wearable molecular sensing platform, leveraging novel light-based sensing in a wearable form factor. Our mission is to turn the body’s molecular signals into a continuous source of truth - unlocking real-time biochemical clarity for areas like fertility, inflammation, metabolic health, and recovery. Today’s wearables track proxies (heart rate, sleep, movement), but the biology that drives health still lives in episodic, invasive lab tests. We’re closing that gap. The role: We’re hiring a BioMEMS / Microfluidics Engineer as a foundational technical hire to lead the design, prototyping, and translation of our microneedle ISF sampling and microfluidic subsystem. You’ll own the full fluidic path - from skin interface and sampling through transport, priming/venting and bubble management, to the flow-cell where sensing occurs. This role is central to platform reliability: your work directly impacts sample quality, yield, lag time, robustness during wear, and ultimately the user experience. As we scale, there’s a clear pathway to technical leadership - owning this subsystem end-to-end and building a small team around you. You will own: • Own the dermal interstitial fluid sampling & microfluidic cartridge architecture end-to-end., • Lead microneedle strategy and integration: define requirements, support design/selection, and manage external manufacturing partners (DfM feedback loops, tolerances, QC, sterilisation compatibility)., • Design and prototype wearable microfluidic architectures that perform under real-world conditions (motion, temperature changes, multi-hour wear)., • Develop reliable initial wetting / priming strategies (e.g., passive capillary and/or prime-then-passive concepts) to ensure repeatable start-up., • Engineer sustained sampling using capillary-microfluidic design principles - prioritising stability and simplicity., • Build robust solutions for sealing, venting, leakage prevention, and bubble/occlusion control., • Define materials and surface treatments for wettability, low sample loss, anti-fouling, and biocompatibility., • Design interfaces and packaging concepts that connect the cartridge to the core sensing module/electronics (under NDA), with manufacturable assembly in mind., • Create test methods/rigs to quantify priming success, flow stability, leakage, clogging risk, and multi-hour performance., • Drive early DfM and scale-up thinking: assembly steps, tolerance stack-ups, supplier readiness, and path to pilot builds. You’ll collaborate closely with leaders across photonics, chemistry, clinical, and product and play a key role in bringing a genuinely cutting-edge wearable technology from first prototypes to pilot-ready systems. The person: Ideal requirements: • PhD (or MSc + 3+ years) in BioMEMS, Microfluidics, Biomedical/Mechanical Engineering or related., • Proven hands-on experience designing capillary-driven / passive microfluidics (wicking, hydrophilic treatments, flow control features like valves)., • Built and owned end-to-end microfluidic systems from at least concept to prototype to repeatable build (and early manufacturability thinking)., • Experience with wearable / skin-interfacing fluidics and the realities of real-world operation (motion, temperature, sweat, long wear), • Strong familiarity with microneedle-based sampling or adjacent minimally invasive sampling approaches including vendor integration if applicable., • Strong experimental mindset: able to design rigorous flow/pressure/volume/reliability tests, analyse data, and iterate quickly., • Comfortable operating in a high-ambiguity, fast-moving early-stage environment. Nice to have (strong signals, not required) • Experience with ISF extraction, priming/first-wet strategies, bubble traps/venting, and anti-fouling / low-loss surface treatments., • Microfluidics that interfaces with optical sensing or biosensing assays (immuno/aptamer/enzymatic)., • Experience with rapid microfluidic fabrication and/or high-precision low-flow systems (µL/min → nL/min)., • Exposure to medical device development standards (e.g., ISO 13485 / ISO 10993) and design controls. Why work for us? • Foundational ownership + real influence: you’ll own a core subsystem end-to-end and directly shape the product roadmap. As we scale, there’s a clear path to technical leadership and building a team around you., • Deep-tech, real-world impact: work at the intersection of BioMEMS, microfluidics, and next-gen sensing to build a platform that can fundamentally change how health is monitored - moving biochemical insight from occasional lab tests to everyday life., • Work with exceptional people: collaborate with top-tier talent from Cambridge and Imperial College and leaders across sensing, chemistry, and product in a highly ambitious environment., • High-pace, high-support culture: a flat structure, fast iteration, and genuine room to experiment - with regular check-ins and feedback to support your growth and development., • Competitive compensation & meaningful equity: we offer competitive salary and significant early-stage share options, so you’ll own a real stake in what you’re building Apply / get in touch If you’re excited by wearable fluidics and want to build something genuinely new, please apply here or email privately to

This is an incredible opportunity for a Senior RF IC Design Engineer to join a rapidly expanding quantum computing company based in North London. Flexible working is available, ideally a minimum of 2 days a week in the office. This is a chance to work on something truly remarkable. Our client is has developed the world’s first CMOS silicon chip for quantum computing - their work will have an enormous impact on so many application areas. As the team is set for significant expansion, they now seek a Senior RF IC Design Engineer to work on new physics, superconducting, and quantum properties not seen on any other devices and bring new ideas whilst making a huge mark on this revolutionary technology. This position would suit an experienced RF IC Design engineer with an excellent understanding of the IC Design process in CMOS technology and with a systematic and proactive approach to design. The ideal candidate will have an R&D background, perhaps holding a PhD, with a balance of industrial experience in CMOS process and design flows. A competitive basic salary is on offer together with company shares. Given the company’s colossal expansion, these shares stand to be extremely valuable! Our client is based in a vibrant part of North London, walking distance from Kings Cross Station, and offers a great working environment. Visa sponsorship and relocation assistance can also be provided. For more details, contact Caroline @ IC Resources

Who are we and What do we do? ShareChat (Mohalla Tech Pvt Ltd) is India’s largest homegrown social media company and the only local player to achieve profitability in the industry, with 200+ million Monthly Monetizable Users across all its platforms. Founded in 2015, ShareChat has social media brands such as the ShareChat App and Moj App and micro drama app QuickTV under its portfolio. QuickTV, the newest addition to ShareChat's family of apps, crossed the 10 million downloads mark within 3 months of launch and currently has 60Mn MAUs across the network viewing the vertical episodic content. Today, the ShareChat network maintains a whopping 1,000 Cr ARR and is India’s leading social media platform servicing users across the country in 15 regional languages. This growth has led to a 28% YoY revenue growth in the July-Sept (2025-26) quarter and increased it by more than 60% in the Oct-Dec quarter. What does the team do? Serving recommendations to 300+ million users entails developing large scale personalization and recommendation models that understand user needs and preferences in realtime, while also helping creators grow their audiences on our platforms. A subset of the problems we tackle include: • Serving personalized feeds for 300+ million users via real-time candidate generators, multi-task prediction models, whole-page optimization, and in-session personalization., • Nurturing our content and creator ecosystem, and developing models for strategic content valuation., • Multi-objective balancing and long term measurement. We rely extensively on state-of-the-art ML around personalization, deep learning, causal inference, optimization, ranking and recommendation. What You’ll Do Within the Sharechat AI team, we are looking for an experienced Staff engineer to lead the engineering efforts around serving personalization models efficiently at scale, leading efforts across 10+ MLEs, SDEs and decision scientists working on feed ranking and candidate generation systems that power Sharechat’s recommender systems. In this role you will help us further improve our recommendation systems in order to drive up user retention and engagement while minimizing server and cloud costs of serving large scale models, and act as a subject matter expert in the recommender systems and ML ranking domains. You would be joining us at an exciting time! The science behind recommendation systems is rapidly changing, and we’re making big progress at a rapid pace. Who are you? • 8+ years of industry experience with a solid understanding of engineering, infrastructure and ML best practices. Strong coding skills with Go or JAVA, • Design and help develop systems that serve recommendations to over 300 million users, • Drive engineering roadmap creation and execution, specifically around feed ranking and recall oriented candidate generation systems, • Provide technical guidance in ranking systems design, implementation & experimentation, and take end to end ownership of ML systems, and key user satisfaction based metrics, • Drive architectural strategy and design for complex ML systems that support the needs of users, creators and content stakeholders, • Familiarity with cloud platforms such as AWS, Google Cloud, or Azure. Knowledge of containerization and orchestration tools like Docker and Kubernetes is a plus., • Experience designing end to end ML data pipelines. Experience with database technologies such as PostgreSQL, MySQL, or MongoDB, Spark, Databricks and stream data processing such as Kafka, RedPanda is a plus., • Direct experience in building and applying large-scale (100M+ users) machine learning solutions for personalizing recommendations., • Hands-on experience building training frameworks and/or serving large-scale models using tools such as Tensorflow or PyTorch is a plus., • You stay up-to-date with the state-of-the-art open source infrastructure solutions applicable to designing and improving large scale recommender systems, data engineering, and machine learning, • You have a Master’s or PhD in Computer Science, statistics, or an engineering field with 5+ years of experience Where will you be? London(Remote) What's in it for you? At ShareChat, our values—Ownership, Speed, User Empathy, Integrity, and First Principles—are at the core of our ways of working. We believe in hiring top talent and grooming future leaders by providing a flexible environment to aid growth and development.

About the job The immune system is a fundamental determinant of human health, governing resilience to infection and shaping susceptibility to disease and response to treatment. Advances in our understanding of immune function have catalysed some of the most transformative breakthroughs in modern medicine, underpinning a new era of immunotherapies and immune-based interventions. At IMU Biosciences, our mission is to decode the immune system at unprecedented resolution and translate these insights into meaningful clinical impact. By redefining immune measurement and interpretation at scale, we aim to advance precision medicine, develop diagnostics that enable earlier and more targeted intervention, and unlock novel strategies to harness immunity for the prevention and treatment of disease. We are a multidisciplinary team of scientists, software engineers, and statisticians united by a shared ambition: to change the future of medicine through the power of immune data. We value diversity of thought, creativity, initiative, and a willingness to tackle hard problems in new ways. As an early-stage startup with state-of-the-art laboratories in central London, this is an exciting time to join IMU as we scale our platform and grow our team. As a member of the Computational Immunology team your main focus will be on analysing and interpreting atlas-level single cell RNA-sequencing data, but will also include development and analysis of our deep immunophenotyping flow cytometry platform. This role will be solely dry-lab based but will involve extensive collaboration across the company, especially with members of our Laboratory and Data Platform teams. Job description We are seeking a highly motivated, enthusiastic, and dedicated person to join our Computational Immunology team. You will combine deep knowledge of theoretical and experimental immunology with strong data science and statistical modelling expertise, applied to truly population-scale single-cell RNA-sequencing and deep immunophenotyping datasets. The role will focus primarily on the analysis of large-scale scRNA-seq data, including the development, optimisation, and application of scalable analysis pipelines for cell state discovery, annotation, and comparative analysis across cohorts. You will lead exploratory analyses, develop novel methodological approaches, and identify robust biological signatures that inform downstream research and translational efforts. In parallel, you will contribute to the development and analysis of our deep immunophenotyping flow cytometry platform, with a clear emphasis on integrating flow-based immunophenotypes with transcriptional cell states to generate coherent multimodal insights. In addition to hands-on analysis, you will play a key role in communicating results through clear written reports, internal presentations, and, where appropriate, external communications such as conference abstracts or publications. You will work closely with our laboratory team on experimental design and with our data platform team on infrastructure development and maintenance, ensuring analytical methods scale effectively with rapidly growing datasets. This is a hybrid role requiring regular onsite working at our central London offices. Responsibilities • Design, develop, and maintain scalable, reproducible scRNA-seq analysis pipelines suitable for cohort- and population-scale datasets, • Lead exploratory analyses, including cell state discovery, signature identification, and comparative analyses across cohorts, conditions, and demographic variables, • Perform and guide multimodal data integration across scRNA-seq and high-dimensional flow cytometry datasets, • Interpret analytical results in a biological and translational context, providing expert input to experimental, computational, and platform teams, • Stay current with developments in single-cell genomics, computational immunology, and related methods, and translate relevant advances into internal practice, • Prepare clear written summaries and presentations for internal stakeholders, including senior scientific leadership, • Contribute to manuscript preparation, conference abstracts, and external scientific communications where appropriate The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope, purpose and grading of the post. Skills, knowledge and experience Essential Criteria • PhD in a relevant discipline (e.g. immunology, bioinformatics, computational biology, systems immunology) plus:, • 0-2 years post-PhD experience in academia or industry for the Scientist II position,, • 3+ years post-PhD experience in academia or industry for the Senior Scientist position, • Strong grounding in immunology, with the ability to interpret single-cell data in a biological and disease-relevant context, • Demonstrated experience analysing scRNA-seq data at scale, • Experience working with multimodal or multi-omic datasets, • Proficiency in Python and/or R, • Hands-on experience with single-cell analysis frameworks such as scVI/scANVI, Scanpy, and/or Seurat., • Competency with version control and collaborative development using git and GitHub, • Experience curating, analysing, and interpreting large, complex biological datasets (e.g. transcriptomics, cytometry, clinical or cohort metadata), • Strong written and verbal communication skills, with the ability to work effectively across multidisciplinary teams, • Right to work in the United Kingdom Desirable Criteria • Experience with machine learning or probabilistic modelling frameworks (e.g. PyTorch, scikit-learn, scVI), • Experience working in cloud or HPC environments, • Experience in secondary RNA-sequencing analysis e.g. fastq to count generation, • Experience building or maintaining production-grade pipelines (e.g. using Nextflow or similar workflow managers) Benefits • Fast-paced startup culture where everyone’s perspective truly matters, • Clear opportunities to grow with the company as it scales, • Competitive salary based on role and experience, • Annual bonus linked to company performance, • Opportunity to participate in the company’s employee share option scheme, • Benefits package including workplace pension, private medical insurance, life assurance, and income protection

Quantitative Risk Analyst – Contract (Inside IR35) Location: London Day Rate: £300–£375 per day (Inside IR35, Umbrella rate) A leading financial markets organisation is looking for a Quantitative Risk Analyst to support ongoing development and refinement of its margin and risk models. This role is ideal for a highly analytical researcher with strong technical skills and a deep academic background. What You’ll Be Doing • Carry out quantitative research and empirical analysis to help shape margin methodology and risk-mitigation strategies, • Design and implement back-testing approaches to assess model performance and coverage, • Create and run QA test cases to validate model behaviour and underlying code, • Build tools and pipelines to clean, align, and manage large, complex datasets What We’re Looking For • PhD (preferred) or Master’s in Mathematics, Finance, Statistics, Economics, or a closely related quantitative field, • Solid knowledge of derivatives pricing and statistical analysis of market risk drivers, • Strong academic foundation in probability theory and stochastic processes, • Hands-on experience with Python, R, SQL, and C++, • Clear communicator with the ability to articulate complex concepts effectively This contract offers an excellent opportunity for a quantitatively driven researcher to apply advanced analytical skills within a highly technical risk environment.

In the fast-changing world where our clients deliver life-changing medicines and technology, Cognite’s dynamic team drives our mission of bringing science to life. As an independent agency, we create clear, compelling communications, focusing on the transformative therapies that are inspiring the future of healthcare and the highly complex diseases they treat. Our Copy team enjoys independence and ownership across a wide variety of projects. Supported by our expert Editorial and PromoMats teams, our writers are able to truly focus on turning complex science into compelling stories and brand messages. We are looking for a Principal Medical Writer to join our growing team. You will be responsible for: • Developing an in-depth scientific knowledge of allocated accounts and using this to shape the communications for our clients’ brands, • Taking the lead on scientific discussions with medics and external experts, proactively making suggestions that are valued by the client, • Developing content for a full range of projects and taking wider responsibility for work on allocated accounts by overseeing, briefing and reviewing the work of other writers, • Contributing to the scientific strategy and ensuring messaging and content are aligned with the overall brand strategy, • Collaborating with internal colleagues, including account managers, creatives, editors and medical strategists, to ensure the seamless delivery of projects, • Sharing knowledge and expertise, as well as providing expert advice and guidance on brands and therapy areas to internal stakeholders, • Staying updated on industry trends, guidelines and best practices to inform and enhance the quality of our medical writing, • Contributing to business growth by proactively identifying opportunities, attending pitches and contributing to written proposals With a deep interest in science and medical communications, we believe someone with the following experience could be a good match for this role: • An undergraduate degree in a relevant science (essential) or a postgraduate qualification or PhD (desirable), • Proven experience in medical writing within a medical communications agency or similar environment, • Excellent written and verbal communication skills, • Ability to work both independently and collaboratively in a fast-paced environment Cognite’s agency values – Everyone matters; Science at the heart; Entrepreneurial Mindset; True partners; and Doing the right thing – shape how we work every day. We believe every individual can make a positive difference; we put science at the core of everything we do; we embrace curiosity and courage to find solutions; we build lasting partnerships focused on shared goals; and we act with integrity and inclusivity in all our interactions. Our benefits include: • Discretionary company bonus and incentive schemes, • Hybrid working (home-based + co-working space in Holborn, Central London), • Private healthcare, • Frequent social and team events, • 24 days’ holiday + bank holidays

A Global Biopharmaceutical company who specialise in the development of therapies for neurological and autoimmune diseases are growing their Pharmacometrics team. This growth is caused by the need to meet the increasing volume of clinical trials. Along with their drive to continue to improve their capabilities as a Group as they continue to remain at the cutting edge of the sector. There are two opportunities available within the team as a Lead Pharmacometrician and a summary of the responsibilities is: • Responsibility for leading & delivering the Pharmacometrics strategy to support their assets across all phases of clinical trials., • Including extrapolation, dose selection, trial design, PIP development and ongoing evaluation as data is generated., • Performing simulations for PBPK, QSP, and clinical trilas for your assigned projects., • Convert the analysis of PBPK & QSP analysis into actionable insights. Then communicate these to stakeholders and project teams., • Develop the Pharmacometrics analysis of plans & reports to be used for projects that are submission ready., • As a senior member of the team you will support the development of team from a technical & scientific perspective. With the purpose to ensure state of the art mechanistic approaches are used to optimise drug discovery & development., • Have a working knowledge of regulatory pathways on a global basis to seek opportunities for collaboration with health authorities in relevant disease areas. As a Lead Pharmacometrician you will report directly to the Global Head and work closely with QCP leads. This is a very visible position which influences the integration of pharmacometrics aspects of the programmes. For this position you will need to have: • PhD or MD in Pharmaceutical Sciences, Statistics, or related area., • With experience in PBPK and QSP modelling in the Biotech / Biopharmaceutical / Pharmaceutical sectors., • Experience in the use of relevant software such as PK- Sim / Mobi / SimCyp. If you have direct experience with NONMEM and / or Python that is an advantage., • Strong communication skills and working in a fast paced & dynamic environment.

The Role We are looking for a Senior/Lead LC-MS Scientist (Proteomics) to support the design, development and implementation of our translational biomarker tests. We apply these tests to support pharmaceutical companies developing new medicines across therapeutic areas. The aim of these tests is to deliver treatment efficacy, targeted engagement or patient stratification biomarkers which would be used on clinical trials to aid the development of new therapies as well as for marketed drugs as companion/complementary diagnostic tools. The key responsibilities of a Senior/Lead LC-MS Scientist (Proteomics) include, but are not limited to: • Designing biomarker studies according to client needs, • Developing detailed LC-MS/MS analytical method protocols for implementation by laboratory staff, • Analysing LC-MS/MS data, generated on ThermoFisher, Sciex, Waters and other triple quadrupole and high resolution instruments, • Communicating study results and scientific rationale to clients, • Liaising with laboratory staff to deliver the projects to agreed timelines and budgets, • Contributing to grant, patent applications and scientific publications., • Maintaining LC-MS instruments & other lab equipment This is a lab-based, on-site role, located at Alderley Park near Macclesfield & Manchester A bit about us At Inoviv, we are building a world where every treatment reaches its full potential, powered by timely and precise proteomics insights. Using our unique technology platform in combination with targeted mass spectrometry, we develop new biomarker tests that quantify molecules in biofluid samples with high accuracy and reproducibility. The aim of these tests is to deliver diagnostic, prognostic or treatment efficacy data which can be used in clinical trials to aid the development of new therapies, as well as for marketed drugs as companion/complementary diagnostic tools. We are working closely with pharmaceutical companies to help patients with neurodegeneration (Alzheimer’s, Parkinson’s, muscular dystrophies), kidney disease, cancers and other conditions. We are a team of passionate individuals supported by academic and commercial advisors from Oxford University, King’s College London, Imperial College London, Charité University Hospital and Olink. We are also backed by the world’s leading talent investor Entrepreneur First. More about us here: Why this is a great role: • Accelerated career development - the responsibilities of the role will be growing fast, in line with the growth of the company., • You will be developing the next generation biomarker tests which have the potential to impact drug development and advance precision medicine., • Dynamic working environment with virtually no bureaucracy., • You will be a crucial team member with the power to make a real, tangible impact on the company and influence how we grow the business., • This is a permanent, full- or part-time, office- or home-based position., • You will have employee share options meaning you will own part of the company. The candidate’s qualifications and experience should include: • PhD or equivalent experience in biochemistry/ molecular biology/ analytical chemistry/ mass spectrometry or a related discipline., • 3+ years of hands-on industry experience with LC-MS/MS platforms, including triple quadrupole mass spec systems., • Broad experience in biomarker assay development and delivery, preferably in a regulated environment., • A proven track record of successful publications in peer-reviewed international scientific journals., • Experience in targeted proteomics, lipidomics and/or metabolomics is highly desirable., • LC-MS/MS experience in the context of neurodegeneration research and experience in bioinformatics is an advantage. How to apply If you would like to join this exciting, forward-thinking company and take the next step in your career, then please get in touch. Please apply on LinkedIn. More on our hiring process here: Inoviv is committed to equality and values diversity. Read about our "Biomarkers of Belonging" here: If you don’t meet all of the criteria above but have a interest in joining our team and mission please get in touch.

In our People Solutions business, we partner with organizations to design benefits, total rewards, and workforce strategies that attract, retain, and engage top talent. From growing companies to global enterprises, we combine deep expertise with actionable insights to create solutions that truly support people and business goals. Lockton is a great place to work because we value ownership, innovation, and growth. Associates are empowered to make an impact, share ideas, and develop their careers in a culture that emphasizes inclusion, collaboration, and excellence. At Lockton, you can do meaningful work, grow professionally, and be part of a team that genuinely cares about clients and colleagues alike. The Role Lockton is seeking a senior leader to shape and execute the strategy, design, governance, and advanced analytics of survey programs that support client decision-making across People Solutions, including employee benefits, workforce strategy, and non-cash compensation. This role focuses on translating complex people strategies and plan design considerations into structured, scalable, and data-driven insights for large and multinational employers. The position requires deep expertise in employee benefits, total rewards, advanced survey methodology, applied social science judgment in question design, and senior leadership in automated analytics and insight generation. Key Responsibilities • Lead the design, execution, and governance of global and regional surveys supporting People Solutions priorities, leveraging enterprise survey platforms such as Qualtrics., • Establish and maintain methodological and technical standards to ensure data quality, consistency, confidentiality, scalability, and longitudinal comparability across clients and geographies., • Design and oversee automated survey workflows in Qualtrics, including complex logic, validation rules, versioning, and multi-country deployment., • Apply principles from social science, behavioral economics, and organizational psychology to design survey questions that elicit accurate, reliable, and decision-useful responses from senior HR, Total Rewards, Finance, and executive stakeholders., • Develop survey frameworks that capture people strategy, benefits philosophy, workforce governance, and risk management practices while minimizing response bias and misinterpretation., • Design survey content addressing detailed plan provisions and non-cash compensation, including retirement programs, health and welfare benefits, equity-based compensation, deferred compensation, and other non-cash rewards., • Lead the development of scalable, automated analytics pipelines to process survey data, reduce manual intervention, and support repeatable benchmarking, trend analysis, and executive reporting., • Partner with analytics and technology teams to integrate Qualtrics outputs with data visualization, benchmarking, and reporting tools (e.g., dashboards and standardized executive reporting)., • Serve as a trusted advisor to senior client executives, translating automated survey outputs into clear insights and strategic recommendations., • Present survey findings to executive audiences with clarity and credibility, supported by standardized and dynamic reporting., • Interpret survey data to identify market trends, emerging risks, and opportunities across industries and regions., • Partner with actuarial, legal, tax, rewards, and other People Solutions specialists to ensure technical accuracy and regulatory alignment., • Contribute to the evolution of Lockton’s People Solutions survey and benchmarking capabilities through innovation, digital enablement, and analytics-led insights., • Provide executive-level oversight, coaching, and quality assurance for consulting and analytics teams involved in survey design, automation, and analysis., • Support business development efforts by shaping survey-led client solutions, proposals, and market-facing offerings. Qualifications Required • Bachelor’s degree in Human Resources, Business, Economics, Statistics, Psychology, Sociology, Organizational Behavior, Anthropology, Political Science, or a related field., • Extensive experience in people strategy, total rewards, employee benefits, or human capital consulting, preferably within a large professional services or advisory firm., • Deep knowledge of People Solutions offerings, including employee benefits, total rewards, workforce strategy, and non-cash compensation plan design., • Extensive experience designing and deploying surveys using Qualtrics, including advanced logic, governance controls, and global distribution., • Demonstrated ability to analyze survey results in an automated, scalable manner, supporting benchmarking, trend analysis, and executive reporting., • Proven experience applying social science or behavioral research principles to survey design, including question framing, response bias mitigation, and construct validity., • Advanced degree (MBA, MS, PhD, or equivalent)., • Graduate or advanced study in organizational psychology, behavioral science, economics, sociology, public policy, human factors, or survey methodology, applied in a consulting or business context., • Experience integrating Qualtrics with analytics, BI, or data platforms (e.g., Power BI, Tableau, SQL-based environments)., • Familiarity with governance, regulatory, and compliance considerations related to people programs and compensation., • Experience leading or scaling repeatable, productized survey and benchmarking solutions.

Senior Computational Scientist – Drug Discovery Location: Cambridge / Paris / Remote (EU/UK) Team: Computational Chemistry / AI Drug Discovery Who We Are We’re a drug discovery biotech using computational science and AI to design better medicines, faster. Our work directly supports active drug discovery programs, and computational insights are part of everyday decision-making. We’re at a stage where our platform is proven, our pipeline is moving, and we’re now looking to strengthen senior scientific ownership across programs. The Role We’re hiring a Senior Computational Scientist to play a leading role in our drug discovery efforts. You’ll take ownership of computational strategy across one or more programs, working closely with medicinal chemists, biologists, and ML scientists. This role is about influence as much as execution, helping teams decide what to prioritise, what to trust, and where computation adds the most value. You won’t be managing people on day one (unless that’s your strength), but you will be expected to lead scientifically and set a high bar for quality and thinking. What You’ll Be Doing • Owning and shaping the computational approach within active drug discovery programs, • Designing and interpreting docking, MD, and free energy calculations to guide compound decisions, • Advising teams on the strengths and limitations of different modelling approaches, • Working closely with ML scientists to combine physics-based and AI-driven methods, • Reviewing and improving computational workflows and best practices, • Communicating results clearly and confidently in project and leadership meetings, • A PhD (or equivalent industry experience) in computational chemistry, biophysics, physics, or a related field, • Several years of hands-on experience applying computational methods in drug discovery, • Strong intuition for structure–activity relationships and molecular interactions, • Experience with industry-standard modelling tools (e.g. Schrödinger, OpenMM, GROMACS, AMBER), • Solid Python skills for analysis, automation, and reproducibility, • Deep experience with free energy methods, • Exposure to AI / ML approaches in molecular design, • You’ll have real scientific ownership and visibility across the organisation, • Computation is treated as a strategic capability, not a service function, • Strong collaboration with experimental teams and external partners, • Competitive salary, meaningful equity, and flexible working, • Clear pathways toward principal scientist or broader technical leadership roles

🏗️ The Role: Outbound GTM Specialist Less than 24 months since launch, we are adding 7 figures of ARR per month. We’ve built a world-class team of AI PhDs, engineers, and patent attorneys. Now, we need a high-energy, ambitious GTM specialist to build our outbound engine and help us scale to $1B+ ARR. What you’ll own: • Identify high-potential leads and strategic prospects within our target market., • Drive outbound activity through cold calling, emailing, and social media to hunt new business., • Deploy personalized, high-impact outreach campaigns to maximize lead conversion., • Sync closely with Account Executives to navigate prospect objections and leverage market trends., • Continuously refine outreach strategies based on real-time feedback and market response., • Track and report on critical metrics, including conversion rates, lead quality, and outreach velocity., • Partner with sales leadership to analyze data and optimize the playbook for scale. 💡 About Solve Intelligence We are the fastest-growing startup transforming Intellectual Property. • 20-30% MoM revenue growth., • 300+ IP teams globally, including Tier-1 firms like DLA Piper and major tech enterprises., • Users report 50-90% efficiency gains., • Recently announced our $40M Series B (Total funding: $55M) from elite investors including Y Combinator, 20VC, and Visionaries. 👋 Who You’ll Work With You’ll be joining a founding team with deep pedigree: • Sanj (CRO): PhD in AI (Gatsby Unit, UCL), ex-Huawei R&D, former lead at Magic Carpet AI (acquired)., • Chris (CEO): PhD in AI (UCL), published researcher, ex-Dyson and Alan Turing Institute., • Angus (CTO): MEng Computer Science, ex-Qualcomm and Coremont (Brevan Howard). 🚀 Who You Are We are a high-performance culture. To thrive here: • You prioritize speed, are always itching to move faster, and want to book meetings in hours, not weeks., • You have a relentless work ethic and take extreme ownership of your KPIs. You’re willing to go the extra mile to achieve the mission., • You thrive in a positive, high-stakes environment and are eager to learn whatever it takes to win., • You understand we are at the start of an exponential curve and want to drive mass adoption of state-of-the-art tools. 🛠️ What You Bring Must-Haves: • Experience in B2B sales with a history of smashing KPIs and securing high-value meetings., • Exceptionally clear written and verbal skills to engage sophisticated legal and technical prospects., • Experience selling complex SaaS products to mid-market or enterprise firms., • Frequent user of AI products with an understanding of the current LLM landscape., • Side projects, "hustles," or early-stage startup experience that shows you can build from zero. 🎁 What’s In It For You? • Competitive base + unlimited commission upside., • Meaningful ownership in a rocket ship., • Full visa sponsorship and private medical insurance., • Free meals and the chance to work with the smartest minds in AI. Ready to build the future of IP? Apply now. 🚀

Do you want to build a behavioural intelligence product using US population-scale data Have you worked with survey + digital behavioural signals and want to turn that into a scalable data product? Are you a bold, product-minded Behavioural Scientist ready for a genuine R&D mandate? We’re partnering with a fast-growing behavioural healthcare analytics business (~40 people) with teams across Washington DC, London and Delhi. They sit at the intersection of behavioural science and data science, helping organisations understand what drives real-world healthcare behaviour (e.g. vaccine uptake, medication adherence, clinical trial participation) through large-scale datasets, modelling and insight products. This is a builder culture where curiosity, creativity and strong scientific thinking are genuinely valued. They’re hiring a Senior Behavioural Data Scientist to join a product/R&D team focused on the US market. You’ll work on high-impact research programmes translating behavioural datasets into usable benchmarks and recommendations for healthcare stakeholders. Up to £95k base + 10%+ bonus. Key responsibilities • Lead R&D projects focused on drivers of US healthcare behaviour at scale, • Design and run behavioural measurement approaches (survey + digital signals), • Build statistical and predictive models (regression, segmentation, behavioural modelling), • Translate findings into benchmarks, insights and recommendations, • Partner with PM/DE to productise outputs into a robust data product, • Collaborate on evaluating and onboarding new data sources Requirements • PhD (minimum requirement), • Strong academic background (Russell Group / top universities), • 2+ years post-PhD industry experience, • Strong behavioural science grounding (intersection of behaviour + data), • Experience with survey data and/or digital behaviour signals, • Ability to code in Python and/or R, • Proactive, creative, willing to take ownership (not risk-averse) Nice-to-have • Healthcare domain exposure, • Consumer behaviour analytics background (e.g. retail, marketplaces), • Behavioural / political consultancy experience, • SQL Tech stack • Python and/or R, • Databricks, • SQL beneficial but not essential Location / working model • Remote-first model, • Central London (2 days a week), • Current cadence may be 1x per month / 1x per quarter, but expectations will increase as the London office builds, • WeWork access provided when required (as many days in as preferred), • Occasional travel may be required Interested? Apply below.

Job Title: Investor Ecosystem Manager / Investor Partnerships Manager Employment Type: Full-Time, Permanent Salary: Up to £62,500 per annum with additional benefits such as car allowance Location: Remote/Hybrid (UK-based with regular trips across the golden triangle) A unique opportunity has arisen for an Investor Ecosystem Manager to join a dynamic team dedicated to connecting private investors with high-growth, early-stage technology companies. You'll also gain exposure to hundreds of start-ups and technologies, as well as the capabilities of a rich and well regarded in-house innovation acceleration team of hundreds of experts, whose expertise you can provide to your Investor network's portfolio. We are looking for an experienced leader within the UK technology/innovations space who will be responsible for building and maintaining relationships with private investors, with the purpose of generating commercial project leads for the organisation. They will need to have the ability to source and identify investment opportunities and qualify relevant deal flow for private investors. They will be exposed to a variety of innovative deep tech companies within the wider organisation’s network and will be expected to provide fundraising support to some of these companies. They may also be required to engage with potential customers and investors to exploit non-core business opportunities (e.g. exploitation of Group generated IP). Key Responsibilities: • Promote and present the organisation’s capabilities to the private investment community., • Deliver targeted pitches/value propositions to specific target investors to raise company profile within the private investment community and build relationships with target investors that result in referrals to the organisation’s commercial arm., • Keep up to date in terms of investment trends and news relevant to target investors necessary to build and maintain fruitful relationships with a variety of private investors., • Identify key relationships to be developed through analysis of private investor portfolio and assess fit with the company’s commercial offering., • Develop and maintain sustainable collaborative partnerships with private investors to enable effective delivery against the organisation’s strategy., • Oversee the transfer of opportunities to other areas of the business, for example commercial business development teams, whilst maintaining an appropriate level of involvement in the progression of opportunities following transfer., • Exploit public funding understanding and networks to build and maintain relationships with private investors and their portfolio companies., • Serve as a point of contact for opportunities and filter for potential investor relationships referred to the organisation by other teams or committees, (i.e. bids team, IP Committee or BD team), within the Group. About You: • Degree or Master/PhD (or equivalent) in a Scientific/Engineering or Business-related discipline (e.g., Marketing, Finance, Economics), • Recent proven track record of working within a multidisciplinary environment dealing with multiple technologies, capabilities and applications in diverse set of markets., • Relevant industry experience in a business development or account management role within a technology/IP-based business environment., • Relevant knowledge/experience of the innovation ecosystem and investors in early stage companies. Desirable: • Background in innovation, research, or R&D environments, • Familiarity with the UK innovation ecosystem and early-stage investors, • Skills in data automation (e.g., Excel VBA, Python, Microsoft Flow) If you’re ready to make a tangible impact in the world of technology investment and thrive in a fast-paced, collaborative environment, then please apply with a copy of your CV in word or reach out to for more information. SRG are the UK number 1 recruitment company specialising in the science, engineering, clinical, pharmaceutical, food/FMCG, renewable, biotech, chemicals and medical devices sectors. As scientists ourselves, our specialist sector knowledge and our passion are second to none. It’s this combination that makes us different. We’re committed to providing outstanding temporary, contract and permanent career opportunities of all levels for our candidates and a comprehensive range of expert strategic recruitment services for our clients. If you have a scientific background and this position is not relevant / suitable for you please feel free to get in touch or visit to view our other vacancies.

Company: Elizabeth School of London Job Title: Associate Lecturer/Lecturer in Statistics & Data Management Salary: £26,000-43,500 per annum Employment Type: Full-Time Working Days & Hours: Monday to Friday, 9AM - 5AM (weekend flexibility required) Location: On-Site, London (Limeharbour), UK Work Authorization: Full Right to Work Status in the UK Required Job Description Join Elizabeth School of London as a Statistics & Data Management Lecturer and be at the forefront of higher education innovation. As a key member of our dynamic team, you'll contribute to the delivery of programs with renowned university partners. The person appointed will join a progressive team at Elizabeth School of London and be involved in the delivery of a range of full-time programs, including Foundation year and full-degree courses in partnership with Canterbury Christ Church University, Bath Spa University, St Mary's University Twickenham London, and other partners. Responsibilities • Deliver engaging and innovative lectures, seminars, and workshops in various disciplines., • Provide high-quality teaching and learning across a range of programs within a Higher Education setting., • Contribute to the development and continual improvement of courses, coordinating effectively with both staff and students., • Contribute to the production of module/unit-specific Scheme of Work., • Develop module materials for each of the modules being undertaken., • Provide/Deliver/Facilitate subject-specific sessions in line with the Learning Outcomes and syllabuses of modules., • Deploy assessments appropriately as set out by the assessment team., • Set out measures to understand the learning needs of students on their modules., • Support students with timely formative feedback to the extent prescribed by each of the program specifications., • Mark and provide summative feedback within the prescribed deadline published by the Assessment Team., • Ensure that all expectations of the Programme Specification of respective Awarding Bodies and Universities under which modules are being taught., • Produce appropriate module/unit reports., • Ability to communicate clearly and appropriately with students from diverse backgrounds. Essential Requirements • Master's degree and/or a PhD in the relevant area., • Previous lecturing experience for similar courses at HEI level., • Strong knowledge of current trends and issues in the relevant sector., • Excellent communication and interpersonal skills., • A commitment to fostering an inclusive learning environment., • Work in line with Blackboard / VLEs, MS Teams. Desirable Requirements • Having teaching qualifications PGCHE, MA in HE Practice, or FHEA, etc., • Experience working in the industry of your subject. Benefits • Annual leave (7.2 weeks), • Workplace pension scheme., • Company Sick Policy., • Statutory maternity/paternity pays., • Career development opportunities, • Training and self-development opportunities., • Gym membership discounts, • Retail discount schemes, • Cinema discounts, • Grocery discounts, • Cycle to work, • Investing and savings opportunities, • Financial wellbeing – personal debt advise., • Financial wellbeing education, • My Mind Pal (mental fitness)

We have an exciting opportunity within a growing technology-led organisation applying advanced machine learning to complex biological and scientific data. The focus is on translating foundational models into practical, real-world workflows that support discovery, development, and decision-making in highly technical environments. As a Senior Computational Scientist, you will provide scientific leadership at the intersection of biology and machine learning, ensuring applied work remains grounded in real-world challenges while delivering outputs that are usable, interpretable, and impactful. This Will Offer You • A senior individual contributor role with clear influence over scientific direction, • Ownership of applied model evaluation and real-world use cases, • Close collaboration with research, product, and commercial-facing teams, • The opportunity to mentor junior scientists and shape best practices, • Exposure to cutting-edge ML methods applied to complex biological data, • Scope to progress into people or technical leadership as the team scales Your Responsibilities • Lead the application and evaluation of foundation models in real-world scientific workflows, • Ensure scientific rigor and relevance across applied modelling efforts, • Act as a key scientific partner to research and engineering teams, • Translate complex biological and ML concepts into clear, actionable insights, • Support and mentor junior team members, • Collaborate with product and business-facing teams to turn research outputs into deliverables You Will Bring • PhD in Computational Biology, Bioinformatics, Machine Learning, or a related field with industry experience or MSc in a relevant field with substantial industry experience applying ML to biological data, • Experience with single-cell, • Strong understanding of ML/AI methods for biological datasets (e.g. transformers, VAEs, diffusion models, classical ML), • Hands-on experience with modern ML frameworks such as PyTorch or equivalent, • Ability to communicate complex scientific ideas to both technical and non-technical audiences, • Comfort operating in fast-paced, iterative environments, • A strong interest in building at the intersection of biology and machine learning

Associate Scientific Director – Medical Communications Position: Associate Scientific Director Location: London (hybrid - 3 days per week in the office) Contract Type: Permanent Salary: Up to £65k (DOE) Start: ASAP This is a great opportunity to join a flourishing editorial team! As a senior member of the scientific team, you will have the opportunity to shape your role to fit your strengths and be instrumental in the ongoing development and growth of the division. The successful candidate will have the opportunity to work on a range of projects across the full spectrum of medical communications activities, including congress activities, training materials, websites, and digital apps. With a vibrant and sociable team environment, intensive on-the-job coaching, and a program of targeted training supplemented by an excellent benefits package, my client values the difference in their employees and puts a strong emphasis on creating opportunities for advancement that complement and develop strengths and further careers. Roles & Responsibilities: • Provide scientific counsel on accounts, challenging and supporting their scientific strategy and acting as a source of advice for members of the team across all departments, • Develop high-quality strategically sound, scientific materials, • Develop an in-depth understanding of assigned products, related medical areas, and competitors, • Engage and educate the team on how a clear scientific strategy can enhance the quality of delivery to clients, • Implement and monitor team processes that ensure the production of high-quality outputs that are on-brief and meet client expectations, • Maintain a fully resourced editorial and medical writing team and input on recruitment decisions that will drive and support the growth of our business opportunities, • Lead scientific discussions with clients, • Take responsibility for leading scientific strategy development with new clients, aiding with the identification of their business needs and communications requirements, • Manage and oversee the work of junior members of the team and work with the leadership team to develop performance plans for the team, • Work collaboratively with the commercial team to provide strategic scientific support for the development of proposals/pitches and participate in new business pitch presentations, • Proactively identify new business opportunities by researching therapy area developments and product pipelines Requirements: • Degree (science, preferably life science); PhD or MSc (desirable), • Scientific knowledge and understanding, • High level of drive, motivation, and initiative, • Excellent communication and interpersonal skills, • Awareness of industry guidelines and best practice and their application, • Significant experience working in Medical Communications (agency), • Hybrid working with 3 days in office (Central London) #medcomms #medicalcommunications #medicalwriter #medicaleducation #healthcareadvertising #healthcare #pharma Associate Scientific Director – Medical Communications

Company: A leading proprietary trading firm specialising in high-frequency and systematic trading across global futures markets. Location: London, United Kingdom. Brief: A top-performing HFT trading team is seeking a C++ Algorithm Developer/Quantitative Researcher to work on latency-sensitive trading strategies across liquid futures markets. The role sits at the intersection of quantitative research, machine learning, and high-performance systems engineering. Responsibilities: • Research, develop, and optimise quantitative trading strategies for high-frequency futures trading., • Design and implement low-latency C++ trading and research infrastructure, with a focus on performance, robustness, and scalability., • Apply statistical and machine learning techniques to model market microstructure, price dynamics, and short-horizon signals., • Perform feature engineering using high-resolution market data (order book, trades, derived microstructure features). Requirements: • Professional experience in quantitative research, algorithmic trading, or low-latency systems development., • Strong academic background with further education in a quantitative discipline such as Mathematics, Physics, Computer Science, Engineering, or Statistics. PhD is preferred., • Excellent C++ skills with a strong understanding of performance optimisation, memory management, and multithreading., • Demonstrated experience in machine learning techniques applied to time-series or microstructure data (e.g. linear models, tree-based methods, neural networks, regularisation).

About Us At Obsidian, we’re passionate about transforming scientific communications to improve healthcare outcomes for everyone. As a specialist healthcare agency, dedicated to medical and scientific communications, we partner with global healthcare organisations to share knowledge that truly makes a difference. Our team of >70 academic scientists, strategists, and communications experts deliver cutting-edge solutions across: • Medical Affairs, • Strategic Consultancy, • Scientific Meetings and Events, • Medical Education, • Publications Planning & Delivery, • Creative & Digital Services, • Commercial Strategy The Opportunity Following significant growth in 2025, we’re excited to welcome a Scientific Business Unit Lead to join our leadership team. In this pivotal role, you’ll: • Lead an editorial team of 10 and collaborate with a Business Unit Director to oversee a 20-person team, • Shape and develop scientific strategy across a diverse portfolio of accounts, • Drive editorial excellence and innovation across therapy areas such as hepatitis, HIV, oncology, rare diseases, nephrology, and haemophilia, • Be a member of the core management team This is your chance to combine scientific expertise with strategic and commercially-focussed leadership – helping us to deliver impactful solutions for clients worldwide. What You’ll Do • Lead and Inspire: Manage and mentor editorial teams, fostering growth and excellence across the business unit, • Strategic Client Partnering: Act as a trusted scientific advisor and ensure that all editorial outputs align with client strategy and industry standards, • Business Growth: Drive organic growth and new business, • Resource management: Ensures optimal editorial resource management within the Business Unit, • Financial Management: Have a sound understanding of the financial health across accounts and supports the business forecasting, • Member of the Core Management Team: Acts as a role model within Obsidian, inputting into the driving of company-wide initiatives, • Culture Building: Create an environment of collaboration, innovation and customer service excellence What We’re Looking For • Ideally a degree in biological sciences (BSc/MSc/PhD or equivalent), • Proven experience within medical communications agencies, ideally as a Scientific Services Unit Lead or equivalent, • Strong leadership and mentoring skills, with a track record of managing editorial teams, • Ability to deliver high-quality scientific content and strategic counsel, • Strong commercial acumen What We Offer • Hybrid working: Only 2 anchor days a week in the office from our vibrant London office (just off Fetter Lane, EC4)., • 25 days’ holiday + bank holidays, plus gifted days at Christmas and your birthday off, • AXA private healthcare (with family options), Aviva pension scheme, income protection, life assurance, • Enhanced parental leave, cycle-to-work scheme, season ticket loan, • Bonus schemes and employee referral rewards, • Learning and Development: Comprehensive training programmes, annual performance reviews, and opportunities to join working groups, • Well-being Support: EAP , mental health first-aiders, AXA well-being calendar, and a dedicated well-being room, • Social Connection: Regular social events and a friendly, collaborative culture Ready to lead, inspire, and make an impact? Join us at Obsidian and help shape the future of scientific communications.

About the Role: We are seeking a highly experienced market access professional to lead global evidence synthesis and value generation activities for innovative pharmaceutical products. The role is critical in supporting global and regional teams to develop comprehensive payer evidence, Health Technology Assessment (HTA) submissions, and value dossiers across product lifecycles. Key Responsibilities: • Lead the preparation and delivery of global value dossiers, payer evidence documents, and strategic materials to support access and pricing decisions., • Collaborate with cross-functional teams including health economics, clinical development, regulatory, and commercial to ensure integrated evidence strategies., • Support early HTA engagement, local adaptation of global evidence, and payer negotiations at launch and key lifecycle milestones., • Identify evidence gaps, coordinate real-world evidence generation, and ensure alignment with global product strategy., • Provide leadership, mentorship, and guidance to project teams and local affiliates., • Represent payer perspectives in strategic planning and decision-making processes. Requirements: • Extensive experience in the pharmaceutical or biotech industry, including product launches, commercial strategy, or market access., • Extensive experience in market access-related functions (e.g., health economics, outcomes research, HTA)., • Proven experience leading teams, projects, or programs in a cross-functional, matrix environment., • Strong strategic thinking, communication, and stakeholder management skills., • Bachelor’s degree in life sciences, business, or related field; advanced degree (MSc, MBA, or PhD) preferred. Preferred Qualifications: • Experience in global oversight of access strategy and payer evidence development., • Familiarity with HTA submissions and payer interactions in major markets., • Demonstrated ability to work effectively across regions and functions. Why Apply: This is a unique opportunity to take a strategic leadership role in shaping global access and value strategies for innovative therapies, working in a collaborative and dynamic environment. We are an equal opportunities Recruitment Business and Agency. We welcome applications from all suitably qualified candidates regardless of their race, sex, disability, religion/belief, sexual orientation or age.

About Us We are a VC-backed startup focused on hyper-personalisation, currently in stealth. Inspired by the latest in recommender systems, we leverage transformers and graph learning alongside decision-making models to build the most engaging customer experiences for in-store retail. Our mission is to change retail forever through hyper-personalised experiences that are both simple and beautiful. About the Job - Foundation Models for Retail We are looking for a Senior Research Engineer with experience in advanced machine learning systems to work with our team of industry leading domain experts and engineers to build foundation models for retail shopping. Key Responsibilities: • Translate latest ML advances into impactful solutions, validate their effectiveness, and deploy them to production systems., • Innovate upon state-of-the-art ML research applied to consumer personalisation., • Month 1: Implement and evaluate current SOTA models, benchmark against existing internal models, and identify performance bottlenecks in existing implementations for optimisation., • Month 3: Design and implement a prototype model architecture, achieve quantifiable improvements in model performance metrics, and develop data pipeline components for large-scale training workflows., • 3-5+ years implementing applied machine learning research in a production setting, • MSc in Computer Science, Machine Learning, or a closely related field, • Strong foundation in machine learning and deep learning algorithms (e.g., transformers, GNNs, supervised/unsupervised learning, reinforcement learning, deep neural networks), • Proven experience in recommender systems, behavioural AI, and/or reinforcement learning., • Building data pipelines (realtime or batch) & data quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt)., • Opportunity to build technology that will transform millions of shopping experiences., • Real ownership and impact in shaping product and company direction., • A dynamic, collaborative work environment with cutting-edge ML challenges., • Competitive compensation and equity in a rapidly growing company.

An independent medical communications agency has an opening for a Principal Medical Writer to join their successful and collaborative team. Known for their in-depth scientific expertise and high-quality execution, this agency works in partnership with leading pharma organisations to develop strategic, multi-channel programmes that deliver positive changes in healthcare. Their work includes meetings, medical affairs, educational programmes and publications, covering an interesting variety of therapeutic areas including Oncology and Rare Diseases. As PMW you’ll lead content development for allocated accounts. You will help to manage client relationships, contribute to scientific strategy, and ensure projects are delivered on time and to the highest quality. You’ll also review the work of junior writers and help to mentor and develop them. You’ll be joining a close-knit, motivated team, and enjoy a flexible, grown-up working environment with plenty of opportunity for ownership and growth. Requirements • A high level of scientific expertise, with minimum BSc level education in life sciences (MSc/PhD advantageous), • Experience in a medical communications agency setting to PMW level., • Expertise across a broad range of medcomms activities., • In depth knowledge of the pharmaceutical industry and associated regulations., • Superb client facing and leadership skills.

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.

Hello! We're looking for an awesome Optical Instrumentation Engineer to join our team on our journey to revolutionize personalized medicine. • System design & assembly: Personally design, build, align, and calibrate novel optical analytical instruments (e.g., Raman, FTIR, fluorescence, scattering) from concept and component selection through to bench assembly and validation., • Hands‑on prototyping: Solve optical/mechanical design challenges, design custom components/fixtures, and iterate rapidly to hit performance targets., • Systems integration: Integrate optics with detectors/light sources, motion/actuation, electronics, fluidics, and software control to deliver fully functional prototypes., • Testing & validation: Plan and execute experiments; analyze data to troubleshoot and optimize SNR, resolution, stability, dynamic range; own verification against specifications., • Technical guidance: Serve as in‑house subject‑matter expert for spectroscopy—advise on component selection (gratings, filters, objectives, fibers, detectors), system architecture, and experimental methodology., • Documentation & knowledge transfer: Maintain design files, BOMs, alignment procedures, and test reports; ensure reproducibility; support IP filings and hand‑off to manufacturing., • Cross‑functional collaboration: Work closely with scientists, assay developers, data scientists, and QA/RA to ensure instruments meet biological, analytical, and regulatory needs., • Safety & compliance: Uphold lab/laser safety; support design controls and documentation aligned with ISO 13485 (and related standards when in scope)., • Innovation: Track advances in spectroscopy/optics; prototype and evaluate new architectures to push platform capability. This role is based in London and collaborates with teams in the UK and abroad. Qualifications • An advanced degree (PhD or exceptional MSc) in Physics, Optics/Photonics, Nanoscience, or related engineering field., • 3+ years industry experience designing, building, and operating complex optical systems from scratch in a lab environment., • Deep, practical knowledge of Raman/FTIR/fluorescence/scattering instrumentation and how to build/align such systems., • Strong hands‑on skills in opto‑mechanics, precision alignment, stray‑light control, and thermal/vibration management., • Experience with data acquisition & control (e.g., Python/Matlab/C++/LabVIEW, pyVISA; motion stages/controllers)., • Plus: Familiarity with optical & mechanical CAD (e.g., Zemax/OpticStudio, SolidWorks/Onshape) and tolerance analysis., • Plus: experience maturing prototypes toward production (DfX, manufacturability, reliability), and mentoring junior engineers/scientists., • Advantageous: fiber optics, micro‑optics, microfluidics, laser safety, electronics, and signal processing/statistics. Cultural Skills ✔️ • Builder’s mindset: hands‑on, resourceful, and relentless about quality., • Low‑ego collaborator who elevates a multidisciplinary team., • Mission‑driven and patient‑centered, comfortable in a fast‑paced startup. iLoF in a nutshell 💡 As personalized medicine becomes the norm, scientists, patients, and healthcare systems worldwide face massive barriers in providing the right treatment to the right patient. Recognized by CB Insights and Financial Times as one of the most promising Digital Health companies in the world, iLoF is building an AI-powered platform capable of transforming precision medicine. Our goal is to become the platform that democratizes access to personalized medicine for millions of people living with complex diseases around the globe. Thanks to our proprietary optical fingerprint library of disease biomarkers and biological profiles we can offer personalized patient screening and stratification in a faster and more affordable way, saving up to 40% of the cost and 70% of the time while enabling a more human patient experience. Supported by leading institutions like Microsoft Ventures, Mayfield, and the Oxford University, iLoF is currently focusing on validating its platform technology in one of the biggest challenges of our times: Alzheimer's, while maintaining ongoing verticals on Digestive Cancer, Stroke, and Infectious diseases. Our Team 🧑🏻‍💻 We are a mix of scientists, entrepreneurs, and inventors based in Oxford and Porto, with a passion for healthcare! Recognized by CB Insights as one of the most promising Digital Health companies in the world and by the Financial Times as a Transformational Business in Healthcare, iLoF has been regularly featured in leading outlets like Tech Crunch, Wired, and Sifted and listed as a rising star in AI-Driven Drug Discovery, Health Screening & Data Analytics. What we value • A Be Kind attitude is the main guideline within iLoF, • A hand in the hammer and another free to support your co-workers as a true team player, • An honest and egoless attitude towards discussions and critics working in good faith, • The braveness to speak your heart in any situation, • Through words or actions be always sure to make a difference at any moment!, • Be proud to drive your responsibilities to success and help others do the same, embracing ownership! Perks 😉 • An exciting future with a deep-tech company selected by Financial Times and CB Insights as one of the most transformative companies in the world, • A high‑paced, flexible environment: adaptable working hours, strong remote work culture, • A stimulating atmosphere with room for creativity – fast‑paced, fun, and energetic start‑up with a friendly culture, • Weekly happy hours with amazing food and drinks, • Free coffee and snacks ☕, • Private healthcare insurance (for employees; contractor benefits to be agreed), • The opportunity to work with a world‑class, talented team – and potentially change healthcare as we know it for millions of patients living with complex diseases around the globe 🧑‍⚕️ We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, click the apply button and join us. You’ve read all this way but you’re missing a skill or two? No problem, it’s our job to upskill you to take your career to the next level. What we’re trying to say is, don’t be afraid to apply if you don’t tick all the boxes.

UK | Field-Based | Medical Affairs We’re looking for an experienced Medical Science Liaison to act as a trusted scientific partner to healthcare professionals within the endocrinology space. This is a field-based role focused on high-quality scientific exchange, KOL engagement, and insight generation to support an innovative endocrine portfolio. The Role You’ll serve as a critical link between clinicians, research, and internal medical teams, with responsibilities including: • Building and maintaining strong relationships with Key Opinion Leaders and specialist centres, • Delivering high-quality scientific presentations and educational activities, • Supporting advisory boards, peer education, and speaker development, • Gathering meaningful medical insights to inform strategy and clinical thinking, • Engaging appropriately to support advances in patient care and guideline evolution, • Collaborating cross-functionally while operating autonomously in the field, • Ensuring full compliance with the ABPI Code of Practice and ethical standards About You • Proven experience as an MSL (or similar medical affairs role), • Degree in life sciences (MSc or PhD preferred), • Strong ability to communicate complex science clearly and credibly, • Confident engaging senior clinicians and KOLs, • Analytical mindset with the ability to interpret clinical data and competitor trials, • Digitally confident and comfortable with virtual and face-to-face engagement, • Highly organised, proactive, and able to manage multiple priorities Why Apply? • High-science, high-credibility medical role, • Strong focus on education, insight, and strategic impact, • Autonomy in the field with meaningful clinical engagement Please Apply now using the "Easy Apply" button.

At Solve Intelligence, we’re building something people actually want - and we have the revenue and traction to prove it. 🏗️ The Role: Full-Stack Account Executive Less than 24 months since launch, we are adding 7 figures of ARR per month. We’ve built a world-class team of AI PhDs, engineers, and patent attorneys. Now, we need a high-energy, ambitious GTM powerhouse to help us scale to $1B+ ARR. What you’ll own: • Build the GTM Motion: You aren't just following a playbook; you’re writing it. You'll architect our sales and growth strategy from the ground up., • Lead Generation & Networking: Smash outbound targets, leverage your network, and represent Solve at global IP conferences to book demos and win over key decision-makers., • Product Demos: Show the world the future of IP. You’ll teach leaders how to leverage AI to transform their workflows., • Closing Deals: Full-cycle ownership from lead to close, working with our Technical IP team to ensure seamless onboarding., • Product Influence: Act as the bridge between the market and our AI researchers. Your feedback will directly shape the product roadmap. 💡 About Solve Intelligence We are the fastest-growing startup transforming Intellectual Property. Our AI-powered platform handles invention harvesting, patent generation, and portfolio management. • Growth: 20-30% MoM revenue growth., • Market: 300+ IP teams globally, including Tier-1 firms like DLA Piper and major tech enterprises., • Impact: Users report 50-90% efficiency gains., • Backing: Recently featured in Sifted following our $40M Series B announcement, bringing our total funding to $55M from elite investors including Y Combinator, 20VC, Visionaries and others. 👋 Who You’ll Work With You’ll be joining a founding team with deep pedigree: • Sanj (CRO): PhD in AI (Gatsby Unit, UCL), ex-Huawei R&D, former lead at Magic Carpet AI (acquired)., • Chris (CEO): PhD in AI (UCL), published researcher, ex-Dyson and Alan Turing Institute., • Angus (CTO): MEng Computer Science, ex-Qualcomm and Coremont (Brevan Howard). 🚀 Who You Are We are a high-performance culture. To thrive here: • You move fast: You prioritize speed and aim to close deals in days, not months., • You are a "grinder": You have a relentless work ethic and take extreme ownership of outcomes., • You are an optimist: You thrive in a positive, high-stakes environment and are eager to learn., • You believe in AI: You understand we are at the start of an exponential curve and want to drive mass adoption. 🛠️ What You Bring Must-Haves: • Proven track record as a top-performing AE in a high-growth SaaS environment., • Exceptionally clear written and verbal communication., • A metrics-driven mindset and a willingness to "grind" alongside the founders. Preferred & Nice-to-Haves: • STEM Degree: (Maths, CS, Physics, Engineering, etc.)., • Legal/IP Background: Experience in patent prosecution or a qualified USPTO/EPO patent attorney/agent., • Technical Sales: Experience selling complex products to mid-market or enterprise firms., • Entrepreneurial Spark: Side hustles, early-stage experience, or a history of building things. 🎁 What’s In It For You? • Compensation: Competitive base + unlimited commission upside., • Equity: Meaningful ownership in a high-growth startup., • Support: Full visa sponsorship and private medical insurance., • Perks: Free meals and the chance to work with the smartest minds in AI. Ready to build the future of IP? Apply now. 🚀

Vice President of Cheminformatics and Data Architecture About Nxera Pharma Nxera Pharma is establishing a new AI enabled discovery initiative to build a high throughput AI and physics driven GPCR discovery engine that augments our world class experimental capabilities and extensive proprietary structural and chemogenomic data assets originating from Heptares Therapeutics. This initiative sits within our newly formed Computational Sciences team alongside Research Informatics, Chem Informatics and Bio Informatics. AI is being deployed across the NxWaveTM platform, trained on the industry’s most extensive proprietary GPCR structure–ligand dataset and paired with our curated chemogenomic library of GPCR focused small molecules. Our mission is to unlock the vast untapped potential of G-protein-coupled receptors (GPCRs) using computational and experimental innovation to design first-in-class therapeutics across metabolic, neurological, immunological, and rare diseases. As part of Nxera’s mission to redefine how new medicines are discovered and to fully leverage advances in AI, quantum mechanics and next generation data integration, we are seeking a Vice President of Cheminformatics and Data Architecture. The Role The Vice President of Cheminformatics and Data Architecture will define how chemical, biological, and data ecosystems integrate to power our discovery engine. You will lead a world-class team responsible for cheminformatics innovation, molecular data architecture, and the integration of AI/ML platforms (MLOps) to accelerate small molecule design and optimisation. What You’ll Do • Strategic Leadership: Define and execute Nxera’s cheminformatics and data architecture vision across discovery and early development., • Data Architecture & Infrastructure:, • Architect and oversee scalable data frameworks that unify chemical, biological, and structural data across the enterprise., • Partner with Discovery and Platform teams to ensure seamless data flow, standardisation, and accessibility for scientific users., • Implement FAIR (Findable, Accessible, Interoperable, Reusable) data principles across discovery workflows., • Cheminformatics Innovation:, • Advance the use of computational chemistry, molecular modelling, and AI-driven structure–activity prediction., • Lead the design and deployment of internal cheminformatics platforms, APIs, and visualisation tools., • Cross-functional Collaboration: Partner with Discovery scientists to develop predictive design capabilities and multi-modal data strategies., • External Engagement: Represent Nxera in strategic collaborations, conferences, and partnerships with technology providers and academic leaders., • Leadership & Mentorship: Build, inspire, and grow multidisciplinary teams spanning cheminformatics, data architecture, and computational sciences. What You’ll Bring • PhD in Chemistry, Computational Chemistry, Cheminformatics, or related field., • 10+ years in pharma/biotech R&D with at least 5 years in senior leadership roles., • Proven expertise in building and managing cheminformatics platforms and data ecosystems., • Deep understanding of data architecture principles, ontologies, and modern data stack technologies (cloud-native, API-first, microservices)., • Hands-on experience with ML/AI model integration into cheminformatics workflows., • Strong track record of advancing discovery programs through computational and data-driven innovation., • Exceptional communication and leadership skills, capable of influencing across technical and executive domains. Why Join Nxera Pharma • Lead the evolution of AI-driven molecular discovery in a company built on scientific integrity and purpose., • Work at the nexus of mathematics, machine learning, and molecular biology, redefining how therapeutics are discovered., • Collaborate with world-class researchers and engineers united by a mission to bring precision medicines to patients faster. What’s in it for you? • State-of-the-art R&D centre located in the heart of the Cambridge science cluster - for Cambridge hires, • Competitive compensation package including discretionary cash bonuses, • Eligible for grants of Restricted Stock Units, • 26 days annual leave in addition to public holidays plus the option to purchase an additional 5 days each year, • Employer contribution to pension, • Private Medical Insurance for employees and family and a cash plan for dental and optical reimbursement, • Health and wellbeing benefits including a subsidised individual gym membership, • Income protection to cover long term absences due to ill health, • Group Death in Service equal to 4x basic annual salary At Nxera Pharma, we are passionate about delivering life-changing medicines to patients. We foster an open and welcoming environment where everyone can bring their authentic self to work, harnessing our individual strengths to succeed together. We value our culture rooted in a diverse mix of minds, backgrounds, and abilities, with a deep sense of belonging. For us, inclusiveness is a reflex, not an initiative. We are achieving this through a consistent commitment to fairness, equal opportunity, and equity. Applications should include a CV and covering letter, providing a short description of the background of your interest in the role. Join us at Nxera Pharma — where AI meets biology to transform the future of medicine.

Do you want to build models that get used in the real world? Have you ever applied your maths to beat complex, high-stakes prediction problems? Are you ready to join a high-performing team trading in global sports markets? Join a City-based investment firm using advanced statistics and data science to model sporting outcomes. With a lean team and flat structure, you’ll own your work end-to-end — from research through to production — in an environment that values rigour, creativity, and impact. This is a chance to work directly with traders and researchers in a collaborative, non-corporate setup where your code and ideas will shape the future of their trading strategies. The Role • Build predictive models for sports outcomes (e.g. football, cricket, tennis), • Analyse real-world data using advanced stats and probabilistic reasoning, • Work cross-functionally with trading and software teams, • Deploy models that directly inform trading decisions globally What They're Looking For • MSc or PhD in a quantitative/STEM field (Maths, Stats, Physics, Engineering), • 5–10 years’ experience in data/quant-focused roles, • Strong coding in Python (R and MATLAB welcome; C# desirable), • Solid understanding of statistics and probability, • Professional experience working with messy, real-world datasets, • Interest in sports (trading background not required) Key Details • Salary: £100,000 – £150,000 + bonus (10–20%, paid twice yearly), • Location: Central London – 5 days onsite, • Visa: Sponsorship available, • Benefits: Health insurance, pension, gym access during working hours, team outings, flat structure, high autonomy Interested? Please apply below.

Job Title: Graduate Software Sales Rep Location: City of London, England - Hybrid/On-site Type: Full-Time, Permanent About Us: Pivotal Partners is a leading recruitment company specialising in building the most disruptive early-stage software companies globally. With an ambitious and collaborative team, we pride ourselves on delivering best-in-class hiring experiences. As we scale, we’re looking for Graduates with PHD (Persistence, Heart & Desire) who will be the future core of our business as we scale from 20-50 employees over the next 18 months.. Join the journey at Pivotal Partners, where greatness begins with humble origins. We're not just recruiters; we're architects of success, striving for excellence in everything we do, feel the magnetic pull of extraordinary financial rewards, the chance to collaborate with tech's finest, and unparalleled professional growth. Pivotal Partners is dedicated to empowering innovative founders and forward-thinking C-level executives in the early stages of their ventures. What we’re looking for: • Recent graduates from top universities (any discipline), • A naturally competitive mindset – a background in high-level sport or other high-performance environments is a strong plus, • Strong communication skills, both verbal and written, • Resilience, grit, and the ability to thrive in a target-driven setting, • A genuine desire to learn, grow, and be the best, • Previous sales or recruitment experience is advantageous but not essential What you’ll be doing: • Completing a bespoke one-month onboarding program designed by two highly successful industry leaders., • Managing the full recruitment cycle: sourcing, screening, briefing, closing., • Partnering with some of the most successful early-stage tech startups globally, • Building and nurturing candidate & client networks across some of the fastest growing tech spaces in the world. What you’ll get: • Industry-leading training and ongoing mentorship., • Chance to work alongside several £1 million billers., • Working with a dedicated communications coach to accelerate your commercial and interpersonal development, • 30+% Commission with no threshold., • Monthly lunch clubs (London's top restaurants)., • Team incentives (We have already been to Dubai, Val Disere, Ibiza, St Tropez, Monaco., • Quarterly wellbeing days (4 per year), • Internal social clubs: (run club, padel, 5 aside, etc)

GSR is crypto’s capital markets partner, helping founders and institutions scale with confidence. With over a decade of specialized expertise, we deliver institutional-grade market making, OTC trading, and strategic venture capital to support growth at every stage. Our value goes beyond execution. We provide access to liquidity, real-time market intelligence, and strategic guidance shaped by years' operating at the center of global crypto markets. We bridge the gap between traditional finance and digital assets, connecting teams with the capital, market access, and insights they need to build what’s next. About the Role As a DeFi Trader, you will be at the forefront of ideating, developing, and maintaining GSR’s trading algorithms across a spectrum of decentralized exchanges and underlying blockchains. This role can be based in London, Zug, or the United States, depending on the candidate’s preference and working eligibility. You will leverage the firm’s world-class trading infrastructure, access to dozens of liquidity venues, and a strong internal DeFi team to build out DeFi strategies across liquidity provisioning, principal trading, and passive yield generation. You will bring a strong risk management mindset and the ability to identify, understand, and model the novel risks that exist within DeFi. Responsibilities Develop and implement cutting-edge automated trading algorithms tailored to DeFi venues and blockchains, across a range of liquidity provisioning strategies. Conduct in-depth research and analysis to improve trading strategies and risk management techniques. Discover, test, and validate new patterns and trading signals using backtesting and performance analysis. Collaborate closely with the firm’s quantitative trading and research teams to create robust solutions for automated DeFi trading. Stay current with developments in DeFi to identify short-term trading opportunities and inform long-term strategic direction. Your Profile PhD or Master’s degree in Computer Science, Mathematics, Physics, Engineering, Quantitative Finance, or a related technical field. Prior experience with DeFi-focused trading strategies, either professionally or personally. Strong familiarity with DEXs, protocol mechanics, blockchain fundamentals, and smart contract security. Excellent logical reasoning and analytical skills. Experience writing code to process and analyze large data sets. Proficiency in software development and engineering principles. What We Offer A collaborative and transparent company culture founded on Integrity, Innovation, and Performance. Benefits include healthcare, dental, vision, retirement planning, 30 days of holiday, and free lunches when in the office. Hybrid working pattern across our global offices in London, the US, Singapore, Zug, and Malaga. Regular Town Halls, team lunches, offsites, and social events. A strong Corporate and Social Responsibility program, including charity matching and volunteer days.

Position: Principal Statistician and Methodological Lead – Digital Health and AI Clinical Trials Location: London, UK (with flexible hybrid working options) Contract: Full-time, permanent, competitive salary. Please note: Only applicants with a PhD and leadership experience in clinical trials, digital trial design, and academic publication (Professor or Lecturer level) will be considered. The Opportunity We are seeking a Principal Statistician and Methodological Lead to drive innovation at the forefront of AI-enabled digital clinical trials. This high-impact role offers a unique opportunity to shape methodological strategies for some of the most ambitious global health research initiatives ever undertaken. You will play a pivotal role in leading the design, analysis, and integration of cutting-edge methodologies across AI, biostatistics, and clinical epidemiology, with a focus on transforming health outcomes through advanced digital trial frameworks. Partnering with leading experts from academia, healthcare, and technology sectors, you’ll help redefine how clinical trials are conducted on a global scale. About the Role This is a senior leadership position that combines visionary methodology development with hands-on trial design and analysis for decentralised and remote clinical studies. With a focus on leveraging AI and machine learning alongside classical statistical approaches, you’ll help overcome the challenges of real-world data collection, participant adherence, and global trial scalability. As the methodological lead, you will: • Define and lead the statistical and data science frameworks for large-scale observational and interventional clinical studies., • Develop and implement strategies for AI-integrated, decentralised trial models that meet the highest ethical, regulatory, and data governance standards., • Collaborate with international academic, clinical, and industry partners to create impactful, translational health interventions., • Mentor rising researchers and statistical experts, building capacity in advanced methodologies across a global interdisciplinary team., • Publish high-impact research and contribute to best-practice guidelines and policy development, establishing international benchmarks in digital and AI-enabled trials. What You’ll Bring • A PhD in statistics, biostatistics, epidemiology, health data science, or a related discipline., • Internationally recognised expertise in developing methodologies for digital health, AI-enabled trials, or related fields., • Experience leading large-scale observational or interventional health studies, ideally with an emphasis on machine learning or AI integration., • A strong record of impactful peer-reviewed publications and research funding success., • Proven leadership and mentoring capabilities, with experience managing statistical teams or interdisciplinary collaborations., • Familiarity with regulatory and ethical frameworks governing digital health and AI research, such as GDPR, GCP, and AI ethics., • Expertise working with complex health datasets, such as mobile health apps, wearables, or electronic health records (EHR). Why Consider This Role? • Take a leadership role in a world-class research initiative focused on AI and digital health innovation., • Shape the future of global healthcare through novel methodologies in decentralised clinical trials., • Partner with leading experts across health, technology, and academia., • Play a pivotal role in transforming health outcomes for underserved populations, with a focus on advancing precision medicine and digital health interventions. You’ll be stepping into a resource-rich environment backed by long-term funding and committed to delivering breakthroughs in personalised healthcare. Make a Lasting Impact Today This role offers you the chance to influence global healthcare standards while working at the frontier of AI-enabled clinical research. If you want to lead transformative work that shapes the future of medicine, apply now.

Job Title: Technical Sales Associate/ Manager Salary: £30-70k+ (base, depending on experience), plus performance & commission-based bonuses Location: London/ Leeds, Travel across UK & EU required Reports to: Technical Sales Manager/ Managing Director About Anstar: Founded in 2018, Anstar is a dynamic, rapidly growing speciality chemicals distributor. With deep cultural and commercial expertise, we serve as a trusted bridge between Eastern manufacturers and global markets. We have quickly established ourselves as leaders in the UV-curing sector, achieving significant market share in Photoinitiators. Our agile, lean structure prioritises transparency, openness, and a customer-first approach, driven by ambitious, high-potential individuals. Backed by a robust global supply chain, European warehousing, and local support, Anstar provides high-quality chemical products with unmatched efficiency. We continually build on our core strengths and explore new market opportunities aligned with our expertise. Highlights: • We are committed to sustainable business practices, including the supply of bio-sourced raw materials, aiming for long-term success while minimising environmental impact, • Technical excellence is a priority; all our sales personnel possess a strong technical (Chemistry) background, enabling us to offer full-breadth service, • We embrace a 'Technology First' approach, utilising cutting-edge software and automation to drive efficiency and scalable growth The Opportunity: We are seeking an ambitious, technically strong individual with a background in Chemistry or a related field, sharp commercial acumen and strong critical thinking skills to support and drive Anstar’s growth. You will help develop our global UV-curing business unit, with the option to contribute to our emerging ventures in Nutraceuticals (food, animal feed, cosmetics and pharmaceuticals). Depending on your experience, you will either grow into or already operate as a key commercial lead: nurturing existing customer relationships, driving new business and playing a pivotal role in shaping and expanding a high-growth business unit. We are particularly looking for someone who is technically sharp, energetic and hard-working, with the desire to grow their responsibilities and impact as the business scales. Key responsibilities include but are not limited to: • Support Anstar with its strategy to develop both our UV-curing and the new Nutraceuticals business units, • Proactively identify and pursue new business opportunities, cultivate relationships with potential clients and negotiate contracts to secure new accounts globally, • Build and maintain strong relationships with existing customers, understanding their technical and commercial needs, addressing inquiries, and providing exceptional service, • Stay ahead of industry trends, market dynamics, and competitor activities. Conduct market research and analysis to identify potential growth areas, customer demands, and emerging opportunities, • Track sales performance against targets, analyse key metrics, and prepare regular reports and forecasts, • Produce company presentations and present to potential and current customers, • Act as a brand ambassador at industry events, trade shows, and conferences, representing the company professionally, networking with key stakeholders, and promoting the company's products and services, • Continuously evaluate and improve sales processes, tools, and methodologies to enhance efficiency, productivity and customer satisfaction Essential requirements for the role: • A degree (BSc/MSc) in Chemistry or a related scientific discipline from a reputable university, with strong technical proficiency, • At least one year of sales experience, • Strong and demonstrable business acumen, • Ability to conduct market analysis and contribute to sales planning, • Excellent verbal and written communication skills and have high interpersonal competence and negotiation abilities, • Proficient in creating and delivering client-ready presentations, • You are able to work independently under remote management (e.g., WFH), • Highly proficient with standard business technology (laptops, phones) and Microsoft Office Suite (Excel, PowerPoint, Word, Teams), • Willingness to travel globally when required and to travel to our Leeds head office on a regular/ semi-regular basis depending on home location Advantageous/desirable section • Direct experience in B2B technical sales, with a proven track record and technical background in (speciality) chemical industries, • Understanding of UV-curable technology, key raw materials (e.g. Photoinitiators, Monomers, Oligomers) and downstream applications (coatings, inks, paints, adhesives etc.), • PhD in Chemistry The interview process will consist of an initial phone call, followed by 2-3 interview rounds. Equal Opportunity: Anstar is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Website: HQ: Airedale House, 423 Kirkstall Rd, Leeds, LS4 2EW, UK Founder & Managing Director: Dr Liangyu Hawkes We look forward to welcoming talented individuals into our dynamic team. The Anstar Team

Career Growth, Flexibility and Collaboration! Entrust is an innovative leader in identity-centric security solutions, providing an integrated platform of scalable, AI-enabled security offerings. Headquartered in Minnesota, we offer our colleagues the ability to work globally, in a flexible and collaborative environment. Our team makes an impact!! The Company: Entrust relies on curious, dedicated and innovative individuals whom anticipate the future and provide solutions for a more connected, mobile and secure world. Entrust’s technologies and expertise help government agencies, enterprises and financial institutions in more than 150 countries serve and safeguard citizens, employees and consumers. We Believe: Securing identities is most effective when we value all identities. We are committed to ensuring that, through diversity and inclusion, the many voices that make up our communities are heard. From unconscious bias training for managers to global affinity groups that create connections both within and across our enterprise, Entrust expects and encourages all individuals to accept and respect one another. And, of course, to be themselves. Position Overview: You will join the Entrust Applied Science team as a research intern. The team consists of 20+ Applied Scientists located in London. We develop machine learning and computer vision models for the Onfido product lines, in particular fraud detection and data extraction on government IDs and biometrics data. You will work together with a team of scientist who will coach and train you during your internship. We use state-of-the-art technology (deep learning, Vision and Language Models), own a large proprietary dataset of images and videos and use a multi-GPU cluster. We use standard frameworks (python, pytorch, tensorflow, dask, AWS). We impact production directly but also the machine learning community. Responsibilities: • You will contribute to research on Vision Language Models for fraud detection, face matching and document extraction, • You will work on unique, large-scale image and video datasets and train models on state-of-the-art GPUs, • Your work will impact products used by dozens of millions of users worldwide, • You will be mentored by a senior machine learning scientist to make sure you are successful in your mission, • You will have the opportunity to publish and open-source your work, • You will be part of a vibrant team of 15+ Applied Scientists based in Paris and London Basic Qualifications: • Currently enrolled in a Computer Science Master's or PhD degree or a related field, • Proficiency with a modern deep learning framework (PyTorch or TensorFlow), • Ability to write research code in Python, • Strong communication and collaboration skills, • Strong willingness to learn Preferred Qualifications: • Practical experience in deep learning, especially for computer vision tasks., • Prototyping ideas from research papers., • Working knowledge of cloud computing (preferably AWS) and tools such as git. About Entrust: Entrust keeps the world moving safely by enabling trusted identities, payments, and data protection around the globe. Today more than ever, people demand seamless, secure experiences, whether they’re crossing borders, making a purchase, or accessing corporate networks. With our unmatched breadth of digital security and credential issuance solutions, it’s no wonder the world’s most entrusted organizations trust us. For more information, visit . Follow us on, LinkedIn, Facebook, Instagram, and YouTube Entrust Corporation is an EOE/AA/Veteran/People with Disabilities employer. NO AGENCIES, NO RELOCATION