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

Your work will change lives. Including your own. Please note: Our offices will be closed for our annual winter break from December 22, 2025, to January 2, 2026. Our response to your application will be delayed. The Impact You'll Make Recursion is leading an era of autonomous science - an adaptable system where AI agents navigate the complexity of biology and chemistry to discover medicines faster and better. As the Staff Product Manager for Agentic Systems, you will define the technical and scientific capabilities required for our next suite of capabilities. You will sit at the intersection of our massive proprietary data generation engine and our cutting-edge AI models, building the "nervous system" that allows agents to reason, plan, and execute experiments in our automated labs. This role is not about maintaining a static roadmap; it is about navigating the frontier of a rapidly evolving field. You will partner with engineering leadership to solve a critical challenge: How do we prioritize the next autonomous science capabilities with the most impact on our drug discovery pipeline, while the definition of "best practices" for AI agents changes monthly? You will balance the need for durable, scalable orchestration infrastructure with the critical need for cycles of experimentation, ensuring we learn fast, validate agent architectures, and avoid cementing solutions before we understand the problem space. In this role, you will: Define the Architecture for Autonomy: Partner with engineering leadership to scope and build the systems that connect our in silico models (the "brain") with our physical automated labs (the "body"), enabling closed-loop, autonomous discovery. Drive Hypothesis-Driven Product Development: Lead cycles of experimentation to test different agentic frameworks. You will embrace ambiguity, helping the team decide when to build durable shared services and when to build rapid, throw-away prototypes to learn what works. Operate as a Translator: Bridge the gap between "wet lab" realities and "dry lab" possibilities. You will translate the needs of drug discovery programs into technical requirements for agent reasoning, ensuring our systems optimize for information gain rather than just volume. Evangelize the "Human-in-the-loop" Evolution: Work with scientific stakeholders to define interfaces where humans review, validate, and shape agent reasoning, ensuring our scientists evolve from "operators" to "architects" of discovery. The Team You'll Join You will join a cross-functional team of software engineers, data scientists, and AI/ML scientists who build the technical bedrock that enables autonomous science, including agent orchestration, guardrails, and the connectivity between our digital and physical assets. You will collaborate closely with the Discovery teams (the users of these agents), the AI Research teams (who build cutting-edge models), and our automated biology and chemistry lab teams (who generate the data that feeds into the models). The Experience You'll Need Navigating Ambiguity in Technical Products: 5+ years of product management experience, with a focus on platform, infrastructure, or AI/ML products where the technical solution was not immediately obvious. Experimentation-First Mindset: A proven track record of managing products through rapid prototyping cycles. You understand the difference between "building to last" and "building to learn," and you know when to apply each strategy. Technical Fluency in Modern AI: While you don't need to be an engineer, you must be fluent in the concepts of LLMs, agentic workflows, APIs, and modern data infrastructure. You can hold your own in a debate about orchestration architectures. Systems Thinking: The ability to visualize complex ecosystems. You can see how a change in a lab protocol impacts an agent's decision-making ability three steps downstream. Communication & Influence: Strong written and oral skills to align diverse stakeholders (PhDs in Biology, Robotics Engineers, AI Researchers) around a unified technical vision. Working Location & Compensation: This is an office-based, hybrid position at one of our office in London. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is £72,800 - £98,700 . You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. The Values We Hope You Share: We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at , or connect on X (formerly Twitter) and LinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.

Your work will change lives. Including your own. Please note: Our offices will be closed for our annual winter break from December 22, 2025, to January 2, 2026. Our response to your application will be delayed. The Impact You'll Make Recursion is leading an era of autonomous science - an adaptable system where AI agents navigate the complexity of biology and chemistry to discover medicines faster and better. As the Staff Product Manager for Agentic Systems, you will define the technical and scientific capabilities required for our next suite of capabilities. You will sit at the intersection of our massive proprietary data generation engine and our cutting edge AI models, building the "nervous system" that allows agents to reason, plan, and execute experiments in our automated labs. This role is not about maintaining a static roadmap; it is about navigating the frontier of a rapidly evolving field. You will partner with engineering leadership to solve a critical challenge: how do we prioritize the next autonomous science capabilities with the most impact on our drug discovery pipeline, while the definition of "best practices" for AI agents changes monthly? You will balance the need for durable, scalable orchestration infrastructure with the critical need for cycles of experimentation, ensuring we learn fast, validate agent architectures, and avoid cementing solutions before we understand the problem space. In this role, you will: Define the Architecture for Autonomy: Partner with engineering leadership to scope and build the systems that connect our in silico models (the "brain") with our physical automated labs (the "body"), enabling closed loop, autonomous discovery. Drive Hypothesis-Driven Product Development: Lead cycles of experimentation to test different agentic frameworks. You will embrace ambiguity, helping the team decide when to build durable shared services and when to build rapid, throw away prototypes to learn what works. Operate as a Translator: Bridge the gap between "wet lab" realities and "dry lab" possibilities. You will translate the needs of drug discovery programs into technical requirements for agent reasoning, ensuring our systems optimize for information gain rather than just volume. Evangelize the "Human in the loop" Evolution: Work with scientific stakeholders to define interfaces where humans review, validate, and shape agent reasoning, ensuring our scientists evolve from "operators" to "architects" of discovery. The Team You'll Join You will join a cross functional team of software engineers, data scientists, and AI/ML scientists who build the technical bedrock that enables autonomous science, including agent orchestration, guardrails, and the connectivity between our digital and physical assets. You will collaborate closely with the Discovery teams (the users of these agents), the AI Research teams (who build cutting edge models), and our automated biology and chemistry lab teams (who generate the data that feeds into the models). The Experience You'll Need Navigating Ambiguity in Technical Products: 5+ years of product management experience, with a focus on platform, infrastructure, or AI/ML products where the technical solution was not immediately obvious. Experimentation-First Mindset: A proven track record of managing products through rapid prototyping cycles. You understand the difference between "building to last" and "building to learn," and you know when to apply each strategy. Technical Fluency in Modern AI: While you don't need to be an engineer, you must be fluent in the concepts of LLMs, agentic workflows, APIs, and modern data infrastructure. You can hold your own in a debate about orchestration architectures. Systems Thinking: The ability to visualize complex ecosystems. You can see how a change in a lab protocol impacts an agent's decision making ability three steps downstream. Communication & Influence: Strong written and oral skills to align diverse stakeholders (PhDs in Biology, Robotics Engineers, AI Researchers) around a unified technical vision. Working Location & Compensation This is an office based, hybrid position at one of our offices in London. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is £72,800 - £98,700. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. The Values We Hope You Share We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at , or connect on X (formerly Twitter) and LinkedIn. Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process.

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

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

A leading global payment company is seeking a Data Science Manager to lead a talented team and drive innovations in payment intelligence. You will oversee the lifecycle of critical machine learning models and translate complex data challenges into actionable goals. Ideal candidates will have strong experience with Python and SQL, alongside a passion for mentoring and technical development. This role offers competitive compensation, hybrid working options, and a supportive environment for career growth.

A leading financial services firm is seeking a Data Science Manager to lead innovative projects applying data, AI, and machine learning. The role requires proven expertise in ML delivery and leadership skills to guide teams in deploying impactful solutions. Collaboration with business stakeholders will help drive measurable business value. Additional focus on offering mentorship and developing a culture of excellence is key. The position provides a hybrid work environment with a competitive benefits package.

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

A global payment provider in Greater London is seeking a Data Science Manager to lead a team of Data Scientists. You will oversee the development lifecycle of machine learning models and be pivotal in enhancing payment solutions. Ideal candidates will have expertise in Python and SQL along with a track record of mentoring teams. The role offers a hybrid working environment and competitive benefits including wellbeing support and equity participation.

Location: London (Hybrid) Practice Area: Data & Analytics Type: Permanent Shape intelligent solutions. Lead with insight. Drive data innovation. The Role We're looking for a Data Science Manager to lead innovative projects that apply data, AI, and machine learning to solve complex challenges across financial services. You'll guide talented data professionals, collaborate closely with business stakeholders, and drive impactful, scalable solutions that deliver measurable business value. What You'll Do Lead data science teams to design, develop, and deploy advanced machine learning and AI solutions. Drive the adoption of cutting edge technologies including generative AI, LLMs, and agentic AI frameworks. Collaborate with business and technology teams to align technical outcomes with strategic goals. Provide thought leadership and best practices across the data science lifecycle, from exploration to deployment. Mentor and develop data professionals, fostering a culture of innovation and excellence. What We're Looking For Proven experience leading the delivery of data science or AI projects from concept to production. Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers). Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP). Deep expertise in MLOps principles, scalable model deployment, and model governance. Excellent communication and stakeholder management skills with the ability to translate data insights into business value. Bonus Points For Experience in Banking or Financial Services. Exposure to GenAI, LLMs, and intelligent agent workflows. Experience with DevOps, CI/CD, and productionising ML systems. A passion for mentoring and developing early career data talent. Why Join Capco Deliver innovative, high impact data solutions for Tier 1 financial institutions. Work in a collaborative, entrepreneurial consulting environment. Access continuous learning, training, and industry certifications. Join a growing global Data Practice of 800+ experts driving transformation. Be part of a culture where individuality, creativity, and collaboration are celebrated. We offer a competitive, people first benefits package designed to support every aspect of your life: Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover. Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in house first aiders. Family Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement. Family Care: 8 complimentary backup care sessions for emergency childcare or elder care. Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs. Continuous Learning: Minimum 40 hours of training annually - choose workshops, certifications, or e learning - your growth, your way. Business Coach assigned from Day One for one on one guidance. Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance. Inclusion at Capco We're committed to a barrier free, inclusive recruitment process. If you need any adjustments at any stage, just let us know - we'll be happy to help. We welcome applicants from all backgrounds. At Capco, we value the difference you make, and the differences that make you. Our culture champions diversity, equity, and inclusion, and we bring a collaborative mindset to everything we do. Capco does not discriminate Capco does not and shall not discriminate on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation or military status in any of its activities or operations.

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

Are you a curious and open-minded individual with an interest in conducting state-of-the-art foundational machine learning research? Thomson Reuters Labs is seeking Research Scientists with a passion for building complex agent-based AI systems in a data-rich, complex academic environment driven by real-world problems. Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation of research capabilities across different areas and are looking for scientists who participate in designing, coding, conducting experiments, translating findings into concrete deliverables and engaging with the academic community. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling, etc.) Data-centric Machine Learning (Synthetic Data, Curriculum Learning, Learned datamixtures, etc.) Evaluation (Benchmarks, Human-in-the-loop, red teaming/Adversarial Testing, Hallucination detection, ) We work collaboratively both with TR Labs (TR's applied research division), academic partners at world-leading research institutions and subject matter experts with decades of experience. We experiment, prototype, test, and deliver ideas in the pursuit of smarter and more valuable models trained on an unprecedented wealth of data and powered by state-of-the-art technical infrastructure. Through our unique institutional experience, we have access to an unprecedented number of subject matter experts involved in data collection, testing and evaluation of trained models. As a Research Scientist, you will play a key part in a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development. Thomson Reuters Labs is known for consistently delivering successful data-driven ML solutions in pursuit of academic excellence and support of high-growth products that serve Thomson Reuters customers in new and exciting ways. About the role In this opportunity, as a Research Scientist you will: Innovate: You will innovate and create new state-of-the-art Agent AI/LLM Agent approaches at the cutting edge of AI research. You will contribute ideas and work on solving real-world challenges using a wealth of data in agentic contexts. Experiment and develop: You are involved in the entire research & model development lifecycle, brainstorming, coding, testing, and delivering high-quality reports at leading international academic conferences. Collaborate: Working on a collaborative global team of research engineers both within Thomson Reuters and our academic partners at world-leading universities. Communicate: Actively engage in sharing our technical findings with the wider community through contributions to seminars, lectures, conferences and/or the sharing of publications and/or technical assets (data & models). About you You're a fit for the role if your background includes: Completed or in the process of obtaining PhD in a relevant discipline. First-author publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR) with specific focus on agent systems, tool use, or multi-agent coordination. Familiarity with one or more deep learning frameworks (e.g. PyTorch, JAX, TensorFlow, ). Excellent communication skills to report and present research findings and developments clearly, both orally and in writing. Curious and innovative disposition capable of devising novel, well-founded algorithmic solutions to relevant problems. Self-driven attitude and ability of working with limited supervision. Comfortable in working in fast-paced, agile environments, managing uncertainty and ambiguity. Preferred qualifications High-impact publications in top-tier conferences or other influence in the research community. Experience in ML Research beyond completing a PhD (e.g. supervision, industry experience, leading academic initiatives, ). Extensive experience with deep learning frameworks and large-scale model training. Extensive experience working on agent-based systems, tool-using AI, or multi-agent coordination in LLM contexts (e.g. startup, industry, or extensive open-source experience). Strong software and/or infrastructure engineering skills and ensuring well-managed software delivery, as evidenced by code contributions to popular open-source libraries or writing production code. Experience training large-scale models over distributed nodes with cloud tools and providers such as Amazon AWS, Microsoft Azure, LambdaLabs or Google Cloud. You will enjoy Learning and development: On-the-job coaching and learning as well as the opportunity to work with cutting-edge methods and technologies. Plenty of data, compute, and high-impact problems: Our scientists and engineers get to explore large datasets and discover new capabilities and insights. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & accounting professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data. We also provide access to all major cloud computing platforms to our researchers and engineers. Competitive compensation & benefits packages: The opportunity to earn while learning new skills. What's in it for you? Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status . click apply for full job details

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

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

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