271 jobs found

Senior Quant Analyst / Research Scientist (Contract) Location: London (cross-Atlantic collaboration) Contract: 12 months (strong potential for extension/perm role) Overview A leading global asset management firm is seeking a senior buy-side Quant Analyst / Research Scientist to support its Fund-of-Funds portfolio within a Front Office-aligned Advanced Analytics function. This is a high-impact contract mandate focused on: Hybrid annuity asset allocation modelling Cashflow forecasting Quadratic and convex optimisation Portfolio construction frameworks Python-based prototyping and deployment The role sits at the intersection of quant research, front office portfolio management, and technology deployment, contributing directly to investment strategy and production-ready solutions. You will work within a high-profile Applied R&D environment supporting Active Equities, Fixed Income, Risk Management, Corporate Finance and broader multi-asset strategies. Core Mandate The primary objective is to design and prototype quantitative models that support: Hybrid and annuity-style asset allocation Fund-of-funds portfolio construction Cashflow forecasting and liability-style modelling Constrained and quadratic optimisation problems This is fundamentally a modelling-first mandate, requiring deep applied mathematics capability and hands-on implementation in Python. AI/ML exposure is desirable but secondary - the role is not a pure AI engineering position. Key Responsibilities Develop and implement quantitative models for hybrid annuity asset allocation Solve quadratic, convex, and mixed-integer optimisation problems Apply portfolio construction standards including: Markowitz / Modern Portfolio Theory Black-Litterman Factor models Forecast portfolio cashflows and support annuity-style allocation structures Build robust prototype frameworks in Python Create comprehensive evaluation frameworks including: Out-of-sample validation Simulation Back-testing Analyse model performance and robustness Collaborate directly with front office PMs on assumptions and outputs Engage with quant research and AI teams to industrialise modelling solutions Ensure models are production-ready and operationalised effectively within internal systems Technical Environment Python (production-level proficiency required) Cloud-based research and development platforms: SageMaker Databricks Enterprise data infrastructure: Snowflake Systematic research and quantitative workflows Investment management datasets across multi-asset strategies Required Experience Senior quant experience within buy-side asset management or fund-of-funds environments Strong background in mathematical optimisation and applied modelling Portfolio construction / asset allocation expertise Hands-on Python development capability (not purely supervisory) Experience with equities; fixed income or hybrid portfolio exposure strongly preferred Experience creating model evaluation frameworks (OOS, simulation, back-testing) Experience working with investment management data Ability to read and computationally reproduce academic research Experience translating research outputs into production-grade solutions Comfortable collaborating across international teams (London / US) Desirable Experience Exposure to ML / deep learning architectures Experience integrating AI/ML prototypes into production environments Multi-asset, insurance, or annuity product exposure Experience working alongside Front Office technology teams or PM management tools CFA participation or strong applied financial markets knowledge Graduate degree in a STEM discipline, or equivalent industrial research experience

Solutions Architect Cloud Architecture Network Architecture Systems Integration Solutions Architect My fantastic client in Bristol is currently looking for a solid Solutions Architect to come on board on a permanent basis. The role includes the design, development, and maintenance of system architectures that support the company's operational and strategic goals. Working within the Operations department, you will collaborate closely with development, infrastructure and cybersecurity teams to ensure compliance across the organisation. The client is looking for someone who has experience of Network architecture, cloud infrastructure (AWS/Azure/GCP), and systems integration as well as Cybersecurity principles and compliance standards. The key responsibilities and tasks for this role will include: Design, implement and maintain end-to-end system architecture designs and documentation for on-premise and cloud architectures Lead and preside over the integration of hardware, software and cloud systems Evaluate current systems and provide recommendations for improvement or replacement Deploy and manage security technologies like web security gateways, NAC, endpoint security, and perimeter defence Collaborate with geographically dispersed development, operations, and security teams to ensure architectural consistency and compliance Support Kongsberg's security incident response and service requests in line with ITIL processes Research and assess emerging technologies for potential application Deliver technical evaluation reports for proposed emerging technologies Participate in security audits, vulnerability assessments, and penetration testing Maintain technical knowledge bases in Dynamics 365 CRM ticketing tool Provide technical leadership and mentoring to engineering teams Essential skills: Network architecture, cloud infrastructure (AWS/Azure/GCP), and systems integration Cybersecurity principles and compliance standards Familiarity with Project management lifecycles and quality assurance processes Tools such as UML, enterprise architecture frameworks (e.g., TOGAF), and CI/CD pipelines. This is a permanent role based out of the Bristol office paying a salary of £75-80k per annum depending on experience. If you are a Solutions Architect with solid experience of Network and Cloud Architecture and Systems Integration then please forward your CV to me ASAP as interviews are being arranged immediately.

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.

At Citi, we are pioneering the future of enterprise operations through innovative technology. Our COO-Technology Engineering and Architecture capability is at the forefront, responsible for architecting best-in class solutions, driving end to end transformation, and integrating cutting edge Generative AI solutions to unlock unparalleled efficiency, automation, and risk reduction across our global operations. The Team: Innovating at Scale Our team is a dynamic hub of engineers and innovators dedicated to solving complex business challenges with intelligent solutions. We believe in building robust, scalable products that deliver tangible impact. We foster an environment of continuous learning, rapid iteration, and strong engineering practices. Here, you'll work alongside passionate experts, leverage the latest in AI, and contribute to a culture that values clean code, thoughtful design, and direct, hands on problem solving. We're not just adopting AI; we're building the intelligence that powers our enterprise. The Role: We are seeking an exceptionalStaff Generative AI Engineerto join our team. This is a critical,deeply hands onrole for a seasoned software engineer with a profound passion for Generative AI, Large Language Models (LLMs), and agentic frameworks. You will be instrumental in designing, building, and deployingreal world, commercial production systems, not just proofs of concept. This is an Individual Contributor (IC) role with no direct people management responsibilities. Your expertise in containers (especially OpenShift), strong Python programming, and advanced LLM/agentic frameworks will be essential as you drive significant operational efficiencies and set new standards for engineering excellence. If you're a builder who thrives on technical challenge, delivering measurable impact, and mentoring others while getting your hands dirty with code, we want to hear from you. As a Staff Generative AI Engineer, you will: Architect & Build Production Systems:Lead the hands on development of sophisticated Generative AI applications, LLM powered solutions, and intricate agentic frameworks primarily usingPython. Your code will be clean, performant, scalable, and deployed directly into commercial production environments, solving real business problems. Pioneer Automation with Agents:Design and implement intelligent agents capable of understanding, reasoning, and orchestrating complex workflows to automate critical enterprise business processes, driving efficiency and reducing operational risk at scale. Master Containerized Deployments:Demonstrate deep comfort and expertise with container technologies, particularly deploying and managing applications withinOpenShiftenvironments. Drive Technical Direction & Ownership:Contribute significantly to the technical strategy and roadmap for Generative AI adoption, influencing architectural decisions and technology choices across our product portfolio, ensuring all solutions are production ready. Champion Engineering Excellence:Instill and uphold rigorous software engineering best practices, including robust testing, code reviews, documentation, and continuous integration/delivery, ensuring the highest quality for our mission critical systems running in production. Innovate & Research:Stay at the bleeding edge of Generative AI, actively exploring new models, techniques, and frameworks. Contribute to both applied engineering and research initiatives within the domain. You will have access to state of the art AI assisted development tools likeDevin and Copilotto amplify your productivity and creativity. Mentor & Collaborate:Act as a technical leader and mentor to junior engineers, fostering a culture of knowledge sharing and continuous improvement. Collaborate closely with cross functional teams, product managers, and stakeholders to deliver impactful solutions. Iterate & Deliver:Thrive in an agile, fast paced environment, prioritizing rapid delivery, iterative development, and adaptability. Focus on delivering measurable business value and learning quickly from prototypes and deployments, always with a path to production in mind. Ensure Responsible AI:Design and implement robust guardrails and ethical considerations into AI solutions, proactively assessing and mitigating risks in line with organizational and regulatory standards. Minimum Qualifications: Proven professional software engineering experience, demonstrating a strong track record of designing, building, and delivering scalable enterprise grade solutionsin commercial production environments, not just proofs of concept. Expert level proficiency in Python is a must have, with a deep understanding of its ecosystem for AI/ML development, data engineering, and backend services. Full stack development experience is a distinct advantage. Extensive hands on experience withGenerative AI concepts, Large Language Models (LLMs), transformer architectures, RAG, and advanced agentic frameworks (e.g., LangChain, LangGraph, Google ADK. Optionally AutoGen, CrewAI, LlamaIndex, Semantic Kernel). Deep comfort and practical experience withcontainers and orchestration technologies, specifically OpenShift. Demonstrated ability to architect, develop, and deploy highly performant, large scale AI/ML systems into production environments. Strong understanding of modern software development principles, clean code practices, data structures, algorithms, and distributed systems. Proficiency with Relational (preferably, PostgreSQL) and Vector (preferably, pgvector) databases. Preferred Qualifications (Bonus Points): Proficiency in additional programming languages such as Java, JavaScript/TypeScript, or Golang. Experience with specific frameworks like Spring (AI, Boot), N8N, or Flask. Familiarity with messaging and integration platforms such as Kafka or JMS/MQ. Experience with UI development using modern frameworks like React JS or StreamLit for interactive AI applications. Practical experience in model risk management, developing AI guardrails, and establishing end user adoption pathways for Generative AI solutions. A proven track record of contributing to open source projects or publishing relevant research in AI/ML. Why You'll Love Working Here: Unprecedented Impact & Visibility:Contribute to critical, high visibility projects that are transforming a global enterprise, working on firm wide initiatives that directly influence our operational future. Cutting Edge Technology:Work with the latest Generative AI models, agentic frameworks, and cloud native technologies, enhanced by access to AI assisted development tools like Devin and Copilot. Growth & Development:A culture of continuous learning, mentorship, and opportunities to lead and innovate. Benefit from extensive learning resources includingUdemy for Business and Pluralsight. Collaborative Environment:Join a highly skilled, passionate team that values collaboration, intellectual curiosity, and shared success. Flexible Work Environment:Embrace a hybrid working model, balancing productive in office collaboration (3 days) with the flexibility of working from home (up to 2 days). Global Scale:Build solutions that operate at a massive scale, impacting users and operations worldwide. Join us to build the future of intelligent enterprise solutions! Job Family Group: Technology Job Family: Systems & Engineering Time Type: Full time Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. View Citi's EEO Policy Statement and the Know Your Rights poster.

Overview: Improbable is a Venture Builder and a pioneering technology company developing next-generation networked and digital infrastructure for the web3 economy. We are working with leaders to create businesses in AI transformation, the metaverse and web3. We both create businesses from scratch and invest in existing businesses. Founded in 2012 and headquartered in London, Improbable began as an ambitious experiment to enable vast, persistent, and interactive online worlds. Over the past decade, the company has evolved into a global leader in venture building, decentralised technology, digital assets, and blockchain-enabled infrastructure-empowering creators, brands, and communities to build and scale the next era of digital experiences. Your Mission: Somnia is building next-generation blockchain infrastructure. We are seeking a Senior Web3 Product Engineer to define, architect, and implement foundational protocol principles of the Somnia blockchain. This is a senior, hands on engineering role for an individual who has previously shipped production grade blockchain protocols incorporating advanced AI/ML components and is comfortable operating at the intersection of research, architecture, and execution. You will play a critical role in shaping the core protocol, influencing long term technical direction, and ensuring Somnia's blockchain is secure, scalable, and fit for real world adoption, specifically exploring how decentralized AI models can enhance the network. We are seeking an experienced Web3 Engineer with experience on EVM based smart contracts on Solidity, Web3 JS/TS libraries to perform contract interactions with frontend and backend systems as well as experience with creating and interacting with The Graph. What You'll Be Doing: Architect, build, launch and maintain dApps - from concept to being used by the community Build on-chain logic in smart contracts, and connect them to web front ends to be used by crypto natives and novices Work with business leads to define the product roadmap, help set the vision and strategy for the venture, act as a sounding board for venture leadership Working closely with the Somnia Blockchain and providing product feedback to their team of developers Why You're Made For This: You've shipped multiple production grade dApps built using Solidity. You have strong hands on skills with the blockchain development framework Foundry You've shipped webapps built with typescript (preferably react, next.js) and used wagmi hooks for smart contract integrations. You have a deep understanding of blockchain architecture, token standards (ERC 20, ERC 721, ERC 1155) and non compliant versions of the standard (e.g. USDC) Knowledge of Solidity foundational best practices and most common security vulnerabilities. You thrive when solving complex, ambiguous problems and enjoy working across disciplines to find the best solutions. You are passionate about the web3 community. While we think the above experience is important, we're very keen to hear from people who believe they have valuable experience to bring to this role. If you identify with the team and mission, but not all of our requirements, then please still apply.

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

Overview Improbable is a Venture Builder and a pioneering technology company developing next-generation networked and digital infrastructure for the web3 economy. We are working with leaders to create businesses in AI transformation, the metaverse and web3. We both create businesses from scratch and invest in existing businesses. Founded in 2012 and headquartered in London, Improbable began as an ambitious experiment to enable vast, persistent, and interactive online worlds. Over the past decade, the company has evolved into a global leader in venture building, decentralised technology, digital assets, and blockchain-enabled infrastructure-empowering creators, brands, and communities to build and scale the next era of digital experiences. Your Mission Somnia is building next-generation blockchain infrastructure. We are seeking a Principal Web3 Product Engineer to define, architect, and implement foundational protocol principles of the Somnia blockchain. This is a senior, hands on engineering role for an individual who has previously shipped production grade blockchain protocols incorporating advanced AI/ML components and is comfortable operating at the intersection of research, architecture, and execution. You will play a critical role in shaping the core protocol, influencing long term technical direction, and ensuring Somnia's blockchain is secure, scalable, and fit for real world adoption, specifically exploring how decentralized AI models can enhance the network. We are seeking an experienced Web3 Engineer with experience on EVM based smart contracts on Solidity, Web3 JS/TS libraries to perform contract interactions with frontend and backend systems as well as experience with creating and interacting with The Graph. What You'll Be Doing Architect, build, launch and maintain dApps - from concept to being used by the community Build on chain logic in smart contracts, and connect them to web front ends to be used by crypto natives and novices Work with business leads to define the product roadmap, help set the vision and strategy for the venture, act as a sounding board for venture leadership Working closely with the Somnia Blockchain and providing product feedback to their team of developers Why You're Made For This You've shipped multiple production grade dApps built using Solidity. You have strong hands on skills with the blockchain development framework Foundry. You've shipped webapps built with typescript (preferably react, next.js) and used wagmi hooks for smart contract integrations. You have a deep understanding of blockchain architecture, token standards (ERC 20, ERC 721, ERC 1155) and non compliant versions of the standard (e.g. USDC). Knowledge of Solidity foundational best practices and most common security vulnerabilities. You thrive when solving complex, ambiguous problems and enjoy working across disciplines to find the best solutions. You are passionate about the web3 community. While we think the above experience is important, we're very keen to hear from people who believe they have valuable experience to bring to this role. If you identify with the team and mission, but not all of our requirements, then please still apply. Improbable Candidate Privacy Policy

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

About Inworld Inworld is a product-oriented research lab of top AI researchers and engineers, developing best-in-class realtime multimodal models and the only realtime orchestration platform optimized for thousands of queries per second. We've raised more than $125M from Lightspeed, Section 32, Kleiner Perkins, Microsoft's M12 venture fund, Founders Fund, Meta and Stanford, among others. Our technology has powered experiences from companies such as NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella and Bible Chat. We've also been recognized by CB Insights as one of the 100 most promising AI companies globally and have been named one of LinkedIn's Top 10 Startups in the USA. About the role Voice is one of the key interfaces humans will interact with AI at scale. To make this reality, we are building the engine for the next generation of AI-driven software. Our primary focus is pushing the boundaries of speech modeling (STT & TTS). We approach this by researching and utilizing ML ideas that allow us to achieve state-of-the-art results (we recently ranked on Artificial Analysis for Text-to-Speech models). Working with audio is uniquely complex - arguably more so than text - because the solution space for how a specific phrase can be spoken is effectively infinite. This creates a vast landscape of challenges, from data collection and efficient training infra to creating RL alignment environments and ultra-low latency inference optimizations. We are seeking Senior AI Engineers to solve these challenges. You will be responsible for researching, building, optimizing, and deploying the production ML systems that thousands of developers integrate with their systems. Your work will focus on the difficult research and engineering problems of building the engine for the next generation of AI-driven software. Qualifications Power user of AI agents for work automation A BA/BS, MS, or PhD in a technical field (CS, Math, Physics) with a strong foundation in Machine Learning. 3+ years of combined experience in software development (e.g. with Python or C++) and applied ML engineering. Demonstrated experience applying or researching Machine Learning in one or more of the following domains: Speech or video processing Natural Language Processing (NLP) Action planning Strong foundation in data structures, algorithms, and neural network architectures. Proficiency with ML frameworks such as PyTorch. A good fit for this role may have A passion for learning and staying up-to-date with the latest advancements in ML/Voice AI research and its applications. Ability to work collaboratively in a fast-paced environment with shifting priorities. Familiarity with pre-training, fine-tuning, RLHF and evaluation of large language and speech models. Knowledge of working with embedded systems and/or running ML on edge devices. Strong background in mathematics and/or physics. Location & Employment Location: remote within United Kingdom Employment type: Full-time, permanent employment Candidates must already have the legal right to work in the United Kingdom. Visa or sponsorship is not available for this role. Optional relocation support to the United States may be available for candidates who are interested in relocating in the future and who meet applicable eligibility and immigration requirements. Any relocation and employment in the United States would be subject to separate review, legal authorization, and business approval.

London, United Kingdom Posted on 11/25/2024 We're thrilled to present an incredible career opportunity! We're recruiting on behalf of a renowned multinational company based in the United Kingdom, seeking an Applied Scientist experienced in Generative AI and large models. What you'll do: You will take the lead in developing machine learning models capable of handling very large datasets across various dimensions. With a commitment to scientific precision, you will design and conduct experiments to validate the technical performance and business impact of your approaches. Collaborating closely with fellow scientists and engineering teams, you will ensure your research is seamlessly integrated into production systems. Key responsibilities: Create machine learning algorithms to solve large scale recommendation challenges. Quickly design, test, and refine multiple hypotheses in an uncertain environment, using data analysis and business insights. Work closely with software engineers to implement successful experiments into the company's processes. Share findings and insights effectively with both technical and non technical audiences through presentations and reports. Requirements BASICQUALIFICATIONS PhD, or a Master's degree and experience in CS/CE/ML or related field research. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high performance computing. Experience programming in Java, C++, Python or related language. Experience in building machine learning models for business application. Experience in patents or publications at top tier peer reviewed conferences or journals. PREFERREDQUALIFICATIONS Experience in professional software development. Benefits Immigration support: The company provides support for your immigration process to the United Kingdom. Competitive salary: Enjoy a competitive salary package reflective of your skills and experience. Global experience: Gain international experience by working with a diverse team in a dynamic region.

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

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

Applied Scientist, Offer Recommendations (Offers Tech) London, United Kingdom Posted on 11/05/2024 We're thrilled to present anincredible career opportunity! We're recruiting on behalf of a renownedmultinational company based in the United Kingdom, seeking an Applied Scientistto drive cutting-edge research in machine learning and create scalable personalizationsolutions . What you'lldo: In this role, you'll spearhead the developmentof machine learning models capable of processing vast amounts of data anddelivering low-latency recommendations to customers globally. With a commitmentto scientific rigor, you'll design and conduct experiments that showcase boththe technical strength and business impact of your models. Collaboratingclosely with a dedicated team of scientists and engineers, you'll drive thecreation of innovative recommendation systems that put customer needs first,enhancing the company's reputation as a global leader in machine learning andpersonalisation. Key responsibilities: Design and implementpersonalized recommendation systems across customer touchpoints. Collaborate with engineersto deploy models into scalable, low-latency production systems. Provide machine learninginsights to guide strategic business and technical decisions. Lead the science roadmap,aligning research goals with organizational priorities. Work with product managers to createcustomer-focused, machine-backed solutions. Share results through rigorous, impactfulreports for team and scientific audiences. Requirements Basicqualifications: PhD, or a Master's degree andexperience in CS, CE, ML or related field research Experience programming in Java, C++, Python or related language Experience in building machine learning models for business application Experience with contextual bandits, off-policy evaluation and learning torank models Experience with AWS technologies such as CDK, Redshift, S3, AWS Glue,Sagemaker, Kinesis, FireHose, Lambda, and IAM roles and permissions. Preferredqualifications: Experience using Unix/Linux Experience in professional software development Experience working within an Agile environment working with softwareengineers to launch products for customers. Immigration support: The company provides support foryour immigration process to the United Kingdom. Competitive Salary:Enjoy a competitive salarypackage reflective of your skills and experience. Global Experience: Gain internationalexperience by working with a diverse team in a dynamic region.