26 jobs found

The Pitch. It's a fun job with a great team. You'll be peering into cutting edge technology being built in labs around the world and speaking to a lot of scientists. We're on the hunt for someone with a strong academic background in physics and exceptional writing ability who can get to grips quickly with new and emerging technologies. Someone who enjoys thinking, writing and speaking about the latest breakthrough advances - from scaling direct capture of CO from air to using quantum hardware for running machine learning algorithms - and everything in between. This is a role for someone who can take highly technical research and translate it into clear, concise, client ready written insight. You'll work alongside our project delivering team, our huge community of science and technology experts (to crowdsource their collective intelligence) and design studios. You're switched on, savvy and a great communicator, who is able to write clearly and speak thoughtfully. You should thrive in a fast paced environment with high levels of transparency and growth. What you will be doing By assimilating deep tech research and foresight into client ready deliverables, you'll help the R&D divisions of global companies and government agencies be at the forefront of innovation. Learn about a wide range of deep tech topics, proactively broadening your knowledge across many emerging fields Participate in client calls, translating requirements into new projects Interview innovators, pioneers and leaders in startups and university labs Review and integrate research outputs into clear, concise, high quality written content with strong visual impact Help to evolve our crowdsourcing methodology and tools for tech foresight, horizon scanning, trend forecasting and scouting Maintain our unwavering pursuit of exceptional quality, providing constructive feedback to contributors You are expected to gain exposure to a wide range of emerging technology topics, such as: AI and machine learning Autonomous and unmanned systems Biomanufacturing Digital Twins Future aerospace concepts Human machine interfaces Nanomaterials Satellite communications Space propulsion concepts Synthetic Biology Who this role is for This role is suited to someone who: Has a BSc, MSc or PhD in Physics Has strong technical fundamentals and enjoys engaging with complex scientific material Is a clear, structured and concise writer, able to translate technical concepts into client ready insight Is comfortable working across a broad range of technologies as a generalist Has exposure to commercial or client focused environments We would be particularly interested in candidates with the following experience: Scientific or technical publishing Technology patent attorney or similar role involving technical interpretation and writing Scientific communications Scientific policy Requirements BSc, Masters or PhD in Physics (required) 1-5 years experience in tech intelligence, consulting or a broad/generalist technical role Deep intellectual curiosity about a wide range of emerging technologies, and the ability to assimilate quickly at a high level Ability to think on your feet and communicate with clients in senior positions Comfortable in a fast paced start up environment High level of attention to detail, care deeply about quality Excellent written communication skills, specifically the ability to write concise and engaging client specific prose How to apply Send a two page CV and a one page cover letter to highlighting your suitability for this role. Please note: only candidates who apply via email will be considered. WHY OUTSMART INSIGHT? Advances in all the sciences - from robotics and genomics to climate tech and space exploration - are leaving no aspect of our lives untouched. Global challenges in the 21st Century need science, technology and the collective ingenuity of all the big brains on our planet to solve them, which is why we need you. Outsmart Insight is a technology intelligence company at the intersection of where deep tech meets the future. Our focus is on emerging, breakthrough and next generation technologies. We specialise in horizon scanning, technology monitoring, trend forecasting and innovation scouting, enabling FTSE 100 companies, venture capital firms, multinational R&D and government agencies to be at the forefront of next generation technology. CORE COMPANY VALUES Smart minds, working together Hard work, rewarded Quality delivered every time Strong client relationships built on trust

Job Description Summary Do you have a passion for all things software with a desire to make your impact in biotechnology? STEMCELL is hiring a Senior Customer Success Consultant for our STEMSOFT SOFTWARE team! As the Senior Customer Success Consultant you will bring advanced expertise in STEMSOFT product applications within complex regulatory environments. In this job, you will play a pivotal role in strategizing long-term solutions that integrate seamlessly with client workflows, enhancing both user satisfaction and regulatory compliance. You will support organizational growth by actively contributing to revenue generation through strategic client engagements and optimized system configurations. Please note, given our global reach, this position may require flexible working hours to support our international customers. Job Description Duties and Responsibilities Engages deeply with customers to analyze and contextualize their technical and regulatory challenges, providing detailed documentation and strategic advice Leads discussions on best practices and advanced application techniques in client settings, ensuring solutions are both practical and compliant Monitors industry trends in clinical, regulatory, and accreditation processes to guide clients through potential future challenges Articulates strategic solutions that align STEMSOFT capabilities with client needs, focusing on long term usability and compliance Develops and refines best practices for the application of STEMSOFT products, influencing both product development and client processes Knowledge and Qualifications Bachelor's degree or higher in a related field, and 6 to 10 years of experience in clinical cell therapy is an asset Expert understanding of accreditation and regulations related to cell therapy and related medical products of human origin including, but not limited to, FACT, JACIE, FDA, HTA, HealthCanada and EMA Advanced communication skills, with the ability to influence and discuss technical details with various stakeholders effectively Strong leadership in project management and customer consultations Expertise in regulatory compliance and its application to software solutions alongside high proficiency in problem solving, critical thinking, and troubleshooting Ability to educate clients in training and commendable practices STEMCELL Technologies is a privately owned, Vancouver-based biotechnology company that helps power leading edge life science research around the world. Driven by our love of science and passion for quality, we are a company of Scientists Helping Scientists-standing by our customers to provide the outstanding products, technical support, and training they need to advance their research. Scientists performing stem cell, immunology, cancer, regenerative medicine, and cellular therapy research are among those who rely on our cell culture media, cell separation products, instruments, accessory products, and services. Through our many regional offices, as well as our distribution centers in Vancouver, Seattle, Grenoble, and Singapore, we deliver our innovative, specialized products to more than 100 countries. With over 1,800 employees globally, most with scientific or engineering degrees, STEMCELL is proud to be the largest biotechnology employer in Canada. This is an opportunity to work with highly motivated colleagues in a science oriented, creative, and dynamic environment. We offer a competitive salary, excellent benefits, and meaningful career development opportunities. STEMCELL is well recognized for exceptional leadership and business practices. We are one of Canada's Best Managed Companies and operate an ISO 14001 certified environmental management system to measure and reduce our environmental impact. As an equal opportunity employer, STEMCELL is dedicated to ensuring that every employee feels safe, valued, and respected for who they are. We know that scientific progress and innovation occur when diverse, creative minds come together and we are committed to nurturing a culture of inclusivity and belonging. STEMCELL enforces a zero tolerance policy for any form of discrimination. Selection decisions are solely based on job related factors. The annual salary for this job ranges from: £43,900.00 - £65,900.00. STEMCELL determines an individual's pay within the range based on multiple factors including experience, education, job related skills, and equity within the team or organization. For jobs that are eligible for sales incentives, the range noted above is inclusive of target incentives; actual incentives are based on individual performance results in accordance with company policy. In addition to base salary, STEMCELL offers a comprehensive total rewards package that may include health benefits, retirement savings, and more (depending on region). To apply, please select the "Apply" button below. You will then be directed to a login screen asking you to set up an account, which is required to apply.

Ready to revolutionize healthcare, making it faster and more accessible than ever before? How we started: Founded in 2013 by Dwayne D'Souza, HeliosX was built on a simple but powerful idea: healthcare should be easier to access, faster to receive, and centred around the individual. From day one, we've grown without external funding; scaling profitably through technology, disciplined execution, and deep medical expertise. What started as a challenger idea has become one of the most significant healthcare platforms operating globally today. Where we are now: We've earned the trust of millions of people worldwide through category-leading products and well known brands, including MedExpress, Dermatica, ZipHealth, RocketRX, and Levity. A key driver of our success is vertical integration; we operate our own manufacturing and proprietary products, led by in house medical teams, researchers, and pharmacists at the top of their fields. In 2025, HeliosX treated more than 1.7 million patients globally and reached £781m in revenue, representing % year on year growth and cementing our position as the clear market leader in the UK. That growth translates into real world outcomes: our weight loss treatments helped patients lose 8.5 million kilograms of excess weight in 2025 alone, contributing to an estimated 1,300 fewer cardiac events. This is growth with measurable, life changing impact at scale. Today, we operate across four international markets, with successful launches in Germany and Canada and continued expansion in the US. We were also recently recognised in the Sunday Times Top 100 fastest growing tech companies, further validation of both our momentum and our ambition. Where we're going: 2026 is a step change year. Our ambition is to reach £1.6bn in revenue, expand from four to eight global markets and significantly broaden our condition and treatment portfolio. Over the coming years, you'll help shape HeliosX into a truly world leading healthcare partner; one that combines scale, speed, and clinical rigour to redefine how personalised care is delivered. Joining HeliosX now means building systems, teams, and products that will define the next decade of digital healthcare, and doing work that genuinely improves lives, at global scale. There's never been a more exciting time to join HeliosX. Come be a part of making our dream of easier and faster healthcare a reality! The Opportunity The Director of People Operations is the architect and operator of a globally scalable, technology enabled People infrastructure designed to support the next phase of HeliosX's rapid growth. Having scaled from 300 to 1,200 employees in a short timeframe, and operating across the UK, US, Canada and Germany - with further international expansion ahead - the business requires a People Operations function that is intentionally designed for scale, with automation and efficiency as first principles. This role exists to define and execute the strategic vision for People Operations, ensuring that systems, processes, compliance frameworks, and service delivery models are not only fit for today, but built for where the organisation will be in the long term, as we continue on our incredible growth journey. Part of the People Leadership team, the Director of People Operations will design and deliver a globally integrated People technology ecosystem, eliminate fragmentation across tools, embed AI and automation into core workflows, and enable data driven decision making across the department. At the same time, they will ensure robust compliance and governance across multiple markets, enable seamless international market entry as part of cross functional working groups, and lead a high performing team of ten People Operations and ER specialists that deliver operational excellence at scale. This is both a strategic design role and a hands on transformation mandate, including upwards management on key People initiatives to the senior leadership team and board. It is a full time, permanent position. The successful candidate will have a hybrid working arrangement, with one to two days per week expected on site at our London HQ. What you'll do People Operations Strategy and Operating Model Create and articulate a long term People Operations vision aligned to business growth and international expansion. Redesign the People Operations operating model to support a multi entity, multi jurisdiction organisation. Define clear service levels, ownership boundaries, governance frameworks and measurable success metrics for the function. Build scalable infrastructure capable of supporting a large, globally distributed employee base (1,200+ people). Establish clear SLAs and service standards to ensure consistent, high quality delivery. Technology, Transformation, and Reporting Own the full People technology ecosystem (HRIS, onboarding, performance, payroll, ER/case management, reporting) and system integrations. Lead system selection, implementation, integration and continuous optimisation. Embed automation and AI into core lifecycle workflows (onboarding, lifecycle changes, reporting, compliance tracking, case management). Create a single source of truth for People data with strong governance and integrity. Drive measurable improvements including reduced manual processing, lower error rates, increased employee self service adoption and reliable global reporting on performance, output, and efficiency. Establish, measure, and report on clear People KPIs across compliance, ER, service delivery, and operational efficiency. Support in the delivery of executive ready dashboards and leadership reporting, in collaboration with the People Insights Lead. Ensure strong data governance and integrity across all systems. Global Compliance, Risk, and ER Leadership Own operational compliance across the UK, US, Canada, Germany, and future markets. Ensure policies, processes and employment practices are legally robust, scalable and commercially pragmatic. Own and maintain right to work and pre employment check processes, as well as related statutory obligations across markets. Build proactive risk frameworks and compliance monitoring mechanisms. Strengthen case management frameworks and use ER data to identify systemic risk and improvement opportunities. International Expansion Lead the People Operations roadmap for new market entry. Oversee entity setup, EOR partnerships/performance, and localisation of policies, payroll, and benefits at the market level. Develop scalable frameworks and repeatable playbooks for efficient country launches in collaboration with our VP International. Ensure infrastructure and compliance readiness are built ahead of growth and ready for scale. Team Leadership and Operational Excellence Lead and develop a high performing People Operations team, setting standards and clarifying structure, roles, and accountability. Build capability in systems thinking, automation and operational rigour. Identify inefficiencies and redesign processes to eliminate friction. Foster a culture of ownership, continuous improvement, and high delivery standards, ensuring initiatives are fully embedded and delivering measurable impact. What you'll bring to HeliosX Experience Extensive leadership experience in People Operations/HR Service Delivery roles. Demonstrated experience scaling People Operations in a high growth business (ideally rapidly growing start/scale ups and/or technology businesses). Clear evidence operating at scale; multiple markets, large employee populations (500+). Proven ownership of HRIS and People systems strategy, implementation, and integration, as well as a track record of leading significant systems transformation programmes. Proven and credible in upward and downward management; leading high performing teams and interfacing into SLT as a trusted partner. Deep understanding of UK employment law; strong working knowledge of US and other international frameworks highly desirable. Experience supporting international expansion and multi entity operations from a People/compliance perspective. Experience leading broader People functions such as ER, Payroll, etc. Strong data literacy and reporting capability. Capabilities Strategic systems thinker; you know how systems, policy, process, and data interconnect Transformational leadership; you balance future state thinking with fast operational execution in the here and now Commercial mindset; you understand risk but handle in proportionally with business minded decisions Operational excellence; you set the standard and drive measurable impact at scale People leadership; you build, lead, and develop high performing teams Life at HeliosX At HeliosX, we want to improve healthcare for everyone, and to do this we need a team of brilliant people who share that ambition. We are currently a diverse team of engineers, scientists, clinical researchers, physicians, pharmacists, marketeers, and customer care specialists committed to our mission - but we need more talented folks to join us, if we want to achieve our global ambitions! Aside from working with our all star team, here are the other benefits of coming on board: Generous equity allocations with significant upside potential 25 Days Holiday (+ all the usual Bank Holidays) Private health insurance, along with extra dental and eye care cover . click apply for full job details

Director, Country Coordinator - Canada (M/F) - DCC01OB OpenBinacle Country Coordinators (Directors) in Artificial Intelligence, Engineering, and Language Technology OpenBinacle is developing next-generation technologies in Artificial Intelligence (AI), 6G mobile communication networks and systems, optical networks, satellite communications, multimedia and mobile systems, radio access networks, city and local networks, broadcasting systems, navigation systems, sensor and IoT systems, and radar systems. In addition, OpenBinacle is a leading Pan-African AI and language technology platform advancing innovation in Natural Language Processing (NLP), machine translation, and African language digital infrastructure. Through a robust network of research partners, developers, and universities across the continent, we are committed to empowering African languages and building scalable AI ecosystems. Position Announcement: As part of our global expansion strategy, OpenBinacle is recruiting distinguished academic leaders to serve as Country Coordinators (Directors) in strategic markets, including Canada and around the world. Role Overview: OpenBinacle is seeking a Country Director / Coordinator to represent the organization in their respective country. As a Country Coordinator, you will serve as OpenBinacle's official academic and institutional representative, leading: national academic partnerships AI and engineering research collaborations technology ecosystem development the adoption and deployment of OpenBinacle technologies You will serve as the primary liaison between OpenBinacle Global Headquarters and your country's universities, research institutions, and government agencies. This position requires visionary leadership, academic excellence, and a pioneering spirit to help advance the global development of AI, language technologies, and next-generation communication systems. So, bring your leadership and pioneering spirit. Strategic Leadership Responsibilities Country Coordinators will be expected to: Establish and lead national academic partnerships Promote AI and language technology research collaborations Support the adoption of OpenBinacle technologies within universities and national innovation ecosystems Facilitate collaboration between OpenBinacle Global Headquarters and national academic institutions Support the development of national research networks and innovation ecosystemsRepresent OpenBinacle at academic, government, and international technology forums Eligibility and Qualifications: OpenBinacle seeks highly accomplished academic leaders with demonstrated excellence in research, innovation, and institutional leadership. Candidates should possess a distinguished record of scholarly research, publications, and academic leadership. Applicants must demonstrate: Experience in international research programs or global technology initiatives Experience supervising PhD candidates and leading research laboratories Contributions to policy development, innovation ecosystems, or national research programs Strong international academic and institutional networks Academic Rank Applicants must hold one of the following academic positions at a recognized university or research institution: Full Professor, or Associate Professor with a PhD and a strong international research profile, or Senior Research Scientist / Principal Investigator at a recognized research institute. Research and Leadership Experience Applicants should demonstrate: A strong international publication record in reputable journals or conferences Experience leading or participating in major research projects or academic consortiaEstablished collaborations with universities, research institutes, or government agencies Proven ability to develop research partnerships and interdisciplinary initiatives Experience in Artificial Intelligence, language technologies, communications engineering, or digital language infrastructure will be considered a significant advantage. Educational Background Applicants must hold a PhD or equivalent doctoral degree in a relevant discipline, including but not limited to: Mathematics and Theoretical Foundations Mathematics Applied Mathematics Statistics Mathematical Modeling Artificial Intelligence and Data Sciences Data Science Natural Language Processing (NLP) Knowledge Representation and Reasoning Computer and Information Sciences Computer Science Software Engineering Information Engineering Information Systems Distributed Systems Cloud Computing Engineering and Communication Systems Electrical and Electronic Engineering Telecommunications Engineering Communications Engineering Optical Communications Engineering Signal Processing Embedded Systems Engineering Robotics and Intelligent Systems Speech and Language Technologies Speech Recognition Language and Linguistics Morpho-Syntax Phonetics and Phonology Semantics and Pragmatics Language Technology Humanities and Social Sciences (Relevant to Language Ecosystems) Digital Humanities Anthropology (especially Linguistic Anthropology) African Studies Language Policy and Planning Benefits and Global Recognition : Country Coordinators will participate in OpenBinacle's national innovation and growth framework, which includes performance-based incentives linked to the development and adoption of OpenBinacle technologies within their designated country. These incentives recognize leadership in ecosystem development, strategic partnerships, and national technology deployment. Specific details of the national partnership framework and incentive structure will be communicated to selected candidates during the appointment process. Selected candidates may also participate in future OpenBinacle research initiatives, technology partnerships, and innovation ventures, reinforcing their position as founding academic leaders in the global OpenBinacle network. Application Procedure If you are the right candidate for this position, please submit the following documents to emailprotected using the subject: Director, Country Coordinator - Canada - DCC01OB : Statement of Interest (1-2 pages) Proof of Academic Appointment Selected Publications (optional) Press: For more information about our press release, please visit our press center. You can also send enquiries to emailprotected

Global R&D Director, PLM Ecosystems City: Kingston upon Hull We are Reckitt Home to the world's best loved and trusted hygiene, health, and nutrition brands. Our purpose defines why we exist: to protect, heal and nurture in the relentless pursuit of a cleaner, healthier world. We are a global team united by this purpose.Join us in our fight to make access to the highest quality hygiene, wellness, and nourishment a right and not a privilege. Research & Development In Research and Development we're full of highly skilled talents that include Scientists, Engineers, Medical, Clinical and Regulatory professionals - all working to create a cleaner, healthier world. With nine Centres of Excellence, we continually seek out new opportunities by using science, our entrepreneurial flare and our fearless innovation to develop and enhance our existing portfolio, never compromising on quality or performance. We do the right thing, always, by ensuring we act with responsibility and integrity, by complying with regulatory legislation across the globe, whilst ensuring our products are safe for our consumers and are to the highest quality. The size of our organisation means you'll have the opportunity to learn and work in different functions within Research and Development, giving you exposure to different disciplines, teams and environments. You will also have access to our Research and Development Academy, designed to develop our team and allow you to grow in our great organisation. About the role This role provides the business leadership for Reckitt's largest-ever digital transformation: the execution of a next generation Product Lifecycle Management (PLM) and connected compliance ecosystem. You will take a well defined strategic blueprint and turn it into an operational reality - leveraging enterprise platforms, data, process design, organisational change and governance to deliver immediate value while building long term capability. At its core, this transformation connects specifications, data and workflows across functions and geographies, enabled by multiple product centric applications. You will own the strategy and lead the enterprise-wide programme that strengthens consumer safety and compliance, with specification management as the foundation for broader value creation in simplification, portfolio optimisation and product stewardship. This includes direct leadership of global PLM platforms across the end to product lifecycle, and deep collaboration with R&D, Supply, Quality, Regulatory and Data Governance to align systems, data flows and processes. You will represent the business in key governance forums, partnerships and cross functional initiatives - ensuring that Reckitt's PLM and compliance ecosystem becomes a connected, scalable and future ready capability. Your responsibilities Lead the execution and operationalisation of Reckitt's global PLM transformation, delivering against plan and driving enterprise wide adoption. Own the transition from legacy processes to new, standardised ways of working, leading both states until the transformation is fully embedded. Deliver the long term strategy for a connected compliance ecosystem in partnership with IT&D and senior leaders across R&D, Supply, Quality and Regulatory. Build alignment and engagement across global functions through strong stakeholder management and effective governance forums. Partner with IT&D to shape technology roadmaps and business transformation plans that enable the PLM and compliance strategy. Collaborate with Data Governance & Analytics to embed robust data standards, ownership models and lifecycle management across functions. Apply PLM best practice to system design, process architecture and integration across core PLM and the wider connected ecosystem. Drive continuous improvement through innovation, benchmarking and data driven insights, ensuring compliance and consumer safety remain central. Establish clear prioritisation mechanisms with Global Functions and IT&D to focus resources on the highest value initiatives. Own the team budget and contribute to broader functional budget planning, investment decisions and delivery accountability. Lead and develop a global team of 30 functional experts, building capability and driving adoption of new ways of working. Simplify, standardise and connect processes and data flows across the compliance ecosystem and key business operations. The experience we're looking for Deep expertise in Product Lifecycle Management (PLM) technologies and their deployment within large, complex consumer goods, healthcare, or manufacturing organisations. Proven ability to design and execute PLM transformation strategies, moving from concept to full enterprise adoption. Demonstrated track record delivering end to end PLM transformations across innovation, R&D, manufacturing, quality, regulatory and distribution. Strong knowledge of regulatory, quality and compliance requirements within Healthcare and CPG environments. Clear understanding of risk profiles, consumer safety requirements and compliance obligations across the product lifecycle. Broad appreciation of R&D and Manufacturing interdependencies, and how data, specifications and processes must connect to ensure safe, compliant products. Deep experience with data standards, governance frameworks and cross functional data flows in large enterprises. Ability to navigate and simplify complex technical ecosystems, identifying opportunities for long term connection, leverage and simplification. Broad operational understanding of core R&D and Supply functions and how they interact within a global product lifecycle. Advanced change leadership and influencing skills, with experience driving behavioural and process change across diverse stakeholder groups. Strong programme management capability, delivering large scale, multi year transformation programmes. Experience leading large, geographically dispersed teams, both through direct line management and influence. Strong collaborator who builds trust and alignment across cross functional teams and senior stakeholders. Demonstrated leadership grounded in integrity and "doing the right thing," especially in compliance critical environments. Inspires teams with a clear vision and brings people with them through complex change. Communicates complex, technical or politically sensitive issues with clarity and confidence to diverse audiences. Creates and sustains a culture of innovation, continuous improvement and simplification. Genuine passion for digital transformation, value creation and building capabilities that endure. Deep experience in R&D operations, ideally within pharma, healthcare or FMCG. Understanding of CSV requirements. Experience leading global systems development and implementation, ideally including platforms such as Optiva, SSPLM, Oracle or Siemens. Ability to travel as part of the role What we offer With inclusion at the heart of everything we do, working alongside our four global Employee Resource Groups, we support our people at every step of their career journey, helping them to succeed in their own individual way. We invest in the wellbeing of our people through parental benefits, an Employee Assistance Program to promote mental health, and life insurance for all employees globally. We have a range of other benefits in line with the local market. Through our global share plans we offer the opportunity to save and share in Reckitt's potential future successes. For eligible roles, we also offer short-term incentives to recognise, appreciate and reward your work for delivering outstanding results. You will be rewarded in line with Reckitt's pay for performance philosophy. Equality We recognise that in real life, great people don't always 'tick all the boxes'. That's why we hire for potential as well as experience. Even if you don't meet every point on the job description, if this role and our company feels like a good fit for you, we still want to hear from you. All qualified applicants will receive consideration for employment without regard to age, disability or medical condition; colour, ethnicity, race, citizenship and national origin; religion, faith; pregnancy, family status and caring responsibilities; sexual orientation; sex, gender identity, gender expression, and transgender identity; protected veteran status; size or any other basis protected by appropriate law.

AVEVA is creating software trusted by over 90% of leading industrial companies. Flexible benefits fund, emergency leave days, adoption leave, 28 days annual leave (plus bank holidays), pension, life cover, private medical insurance, parental leave, education assistance program.It's possible we're hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive.Find out more: Hybrid working By default, employees are expected to be in their local AVEVA office three days a week, but some positions are fully office-based. Roles supporting particular customers or markets are sometimes remote. Hiring process Find out more: About AVEVA AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals, and minerals - safely, efficiently, and more sustainably.We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: out more: requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria.AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis. Job Title: Senior AI Research Engineer Location: Cambridge, London, UK (Hybrid) Employment Type: Full-time, permanent The job We are seeking a Senior AI Research Engineer to join our AI Investigation and Incubation team. This is a hands-on engineering role, focused on building, prototyping, validating, and operationalising emerging AI technologies for real-world industrial intelligence use cases.This role is not a pure academic research position. We are specifically looking for engineers who enjoy turning AI research into working systems, making architectural trade-offs, and proving feasibility through code, experiments, and deployable prototypes.The ideal candidate is an ML Research Engineer or Senior Data Scientist with strong practical instincts who thrives at the intersection of experimentation and production. Key Responsibilities Research and evaluate emerging AI technologies with a clear focus on practical applicability and deployability Design, build, and iterate on working prototypes and proof-of-concepts, rather than theoretical experiments Develop, fine-tune, evaluate, and benchmark AI/ML models using real-world datasets Assess AI approaches for scalability, reliability, cost, security, and operational feasibility Make and document engineering and architectural decisions related to model deployment and integration Collaborate closely with software engineers, architects, and platform teams to ensure AI solutions can transition into pilots and downstream products Clearly document findings and present actionable recommendations, not academic papers, to technical and business stakeholders Support early-stage pilots and proof-of-value initiatives where AI solutions are exercised in realistic environments Essential Requirements Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field 8+ years experience in applied AI/ML engineering, data science, or ML research with production exposure 3+ years of hands-on experience building, training, evaluating, and deploying ML models Strong proficiency in Python and modern ML frameworks (e.g. PyTorch, TensorFlow, HuggingFace) Solid understanding of AI/ML deployment patterns, including: + Batch and real-time inference + Model APIs and pipelines + Integration into distributed systems Practical experience with modern AI paradigms, such as: + Foundation models / LLMs + Agent-based systems and orchestration + Context retrieval and augmentation techniques Demonstrated ability to lead technical investigations and drive them to concrete outcomes Ability to connect AI capabilities to practical industrial or enterprise use cases Desirable Experience Experience deploying ML models in cloud environments (Azure preferred, AWS acceptable) Familiarity with MLOps practices (model versioning, evaluation, monitoring, iteration) Experience working with non-ideal, real-world data rather than curated research datasets Exposure to industrial, IoT, manufacturing, energy, or asset-intensive domains What Success Looks Like AI ideas progress beyond research into validated, working prototypes Technical investigations result in clear go / no-go recommendations Prototypes demonstrate feasibility for real-world deployment, not just benchmark performance Strong collaboration with engineering teams to enable transition into pilots or platforms Tangible influence on AI roadmap and technology direction through evidence-backed engineering work R&D at AVEVA Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the centre of our strategy, and we have over 150 patents to our name.Our track record of innovation is no fluke - it's the result of a structured and deliberate focus on learning, collaboration and inclusivity. If you want to build applications that solve big problems, join us.Find out more: UK Benefits include:

For additional information, please review . Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. The ideal candidate will combine deep AI engineering expertise with a strong understanding of the investment banking ecosystem, business workflows, and secure enterprise-scale deployment. Key Responsibilities Strategic AI Leadership - Partner with senior bankers and business leads to identify high-impact AI opportunities across deal origination, client intelligence, market analysis, and pitch automation. Develop and execute the AI engineering roadmap aligned to Banking tech strategy and enterprise architecture. AI Engineering & Architecture - Lead the design and development of scalable AI systems using LLMs, NLP, knowledge graphs, and machine learning pipelines. Architect secure, compliant AI solutions that integrate with market data, CRM, internal knowledge bases, and document repositories. Data Strategy - Drive integration of structured (e.g., financial data, CRM) and unstructured (e.g., filings, call transcripts, news) data to enable advanced insights. Oversee data engineering and ML feature pipelines in collaboration with data teams. Productization & Delivery - Convert proofs-of-concept into scalable, enterprise-grade tools. Embed AI solutions into banker workflows via co-pilots, dashboards, and smart document assistants. Governance & Compliance - Ensure all AI systems meet internal standards for explain ability, fairness, and compliance with regulatory obligations. Collaborate with risk, legal, and compliance teams on AI model governance. Team Building & Leadership - Build and lead a high-performing team of AI engineers, ML specialists, and applied data scientists. Foster a culture of innovation, delivery excellence, and business alignment. Qualifications Must-Have Skills & Experience Significant proven data science / AI engineering experience, with multiple years leading teams in financial services or enterprise environments. Demonstrated success building AI applications in investment banking, asset management, or capital markets domains. Deep expertise in ML, NLP, LLMs, retrieval-augmented generation (RAG), embeddings, and modern MLOps practices. Strong experience working with both structured financial datasets and unstructured data sources (e.g., filings, call transcripts, research). Familiarity with front-office workflows in ECM, DCM, M&A, and investment research. Experience deploying AI solutions in secure, high-compliance environments (on-premise, hybrid cloud, or private cloud). Strong communication and stakeholder management skills, especially with senior bankers and C-level executives. Preferred Experience with knowledge graphs and graph-based search. Familiarity with tools like Bloomberg, Refinitiv, Capital IQ, FactSet, PitchBook. Prior work on AI co-pilots, document summarization tools, or automated pitch generation. Exposure to enterprise CRM systems and client intelligence platforms. Advanced degree in Computer Science, AI, Applied Mathematics, or related quantitative field. What Success Looks Like AI tools embedded into daily workflows of bankers and analysts. Reduction in manual effort across client targeting, pitch preparation, and market monitoring. Data assets and ML models fully aligned with enterprise governance and architecture. Scalable AI platform that evolves with the pace of the business and innovation.Shape the future of investment banking with cutting-edge AI. Work at the intersection of technology, capital markets, and innovation. High visibility and impact across the front office and C-suite. Access to world-class data, partners, and AI infrastructure. What we'll provide you By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resourcesAlongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Job Family Group: Technology Job Family: Business Analysis / Client Services Time Type: Full time Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. 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. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review . View Citi's and the poster. Role Summary We are seeking a visionary and hands-on Head of Applied AI Engineering to lead the design, development, and deployment of AI-driven solutions for our Banking division , covering Investment (ECM, DCM, M&A), Corporate and Commercial Banking. This role will bridge the front office and advanced technology, bringing intelligent automation and data-driven decision-making into the heart of dealmaking.

Overview Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen. Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. The Team 90 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first-principles thinking, tight feedback loops and relentless experimentation Work Alongside Industry Leaders Diego Protas - Director of Engineering Diego, an expert in distributed systems and hardware architecture, merging physical computing with enterprise-scale infrastructure. Previously directing teams of 170+ engineers at Mercado Libre and orchestrating large-scale ML-based inference at Meta. At Relay, Diego's infectious enthusiasm and hands-on leadership are redefining the boundaries of speed and reliability. Tech Stack Highlights Python, Rust and TypeScript - we keep things simple but use the right tool for the job Cross-platform Flutter apps with a deep focus on user experience Cloud-native on GCP with extensive use of BigQuery and Cloud Run Extensive use of ML modelling and LLM inference - no gimmicks here, this is our daily routine Emerging tech integrations, including robotics and IoT-powered operations The Opportunity As a Software Engineer at Relay, you'll: Own challenging, impactful problems end-to-end, from routing algorithms to real-time optimisation services and intuitive operational tools. Collaborate closely with top engineers, data scientists, and product leaders in a highly autonomous and impact-driven environment. Regularly ship production-quality code weekly-and often daily-seeing your work directly impact Relay's growth. Create incredible product experiences powering the fastest-growing e-commerce platforms, including Vinted, TikTok, and Temu, impacting millions of users worldwide. Fast and Focused Hiring Process Talent Acquisition Interview - 30 min API Integration Interview - 1 hour Technical Interview - 2 hours Operating Principles & Impact - 1 hour Decision and offer within 48 hours; our process mirrors our pace of work, typically completed in a week. Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top-ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays Enhanced parental leave Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote. Hardware of your choice Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win-win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.

Overview Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen. Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. The Team 90 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first-principles thinking, tight feedback loops and relentless experimentation Work Alongside Industry Leaders Diego Protas - Director of Engineering Diego, an expert in distributed systems and hardware architecture, merging physical computing with enterprise-scale infrastructure. Previously directing teams of 170+ engineers at Mercado Libre and orchestrating large-scale ML-based inference at Meta. At Relay, Diego's infectious enthusiasm and hands-on leadership are redefining the boundaries of speed and reliability. Tech Stack Highlights Python, Rust and TypeScript - we keep things simple but use the right tool for the job Cross-platform Flutter apps with a deep focus on user experience Cloud-native on GCP with extensive use of BigQuery and Cloud Run Extensive use of ML modelling and LLM inference - no gimmicks here, this is our daily routine Emerging tech integrations, including robotics and IoT-powered operations The Opportunity As a Software Engineer at Relay, you'll: Own challenging, impactful problems end-to-end, from routing algorithms to real-time optimisation services and intuitive operational tools. Collaborate closely with top engineers, data scientists, and product leaders in a highly autonomous and impact-driven environment. Regularly ship production-quality code weekly-and often daily-seeing your work directly impact Relay's growth. Create incredible product experiences powering the fastest-growing e-commerce platforms, including Vinted, TikTok, and Temu, impacting millions of users worldwide. Fast and Focused Hiring Process Talent Acquisition Interview - 30 min API Integration Interview - 1 hour Technical Interview - 2 hours Operating Principles & Impact - 1 hour Decision and offer within 48 hours; our process mirrors our pace of work, typically completed in a week. Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top-ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays Enhanced parental leave Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote. Hardware of your choice Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win-win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.

Senior Data Scientist page is loaded Senior Data Scientistremote type: Hybridlocations: Londontime type: Full timeposted on: Posted Todayjob requisition id: R Job Type: Permanent Build a brilliant future with Hiscox Position: Senior Data Scientist Reporting to: Lead Data Scientist Location: London Type: PermanentAs a Senior Data Scientist at Hiscox, you will take on a high-impact role, acting as a critical thinker and problem solver for the business. You'll apply your core technical skills and innovative thinking to tackle complex challenges, identify opportunities, and help shape data-driven decision-making across the London Market.You'll operate across a wide variety of business functions, managing multiple priorities and delivering both ad hoc analysis and predictive/prescriptive models. Your work will contribute directly to building Hiscox's data culture and enabling evidence-based decisions in a fast-paced, evolving environment. Communicating the business value of your analytical solutions to stakeholders will be a key part of your role.You'll be part of an award-winning team, recognised for its pioneering collaboration with Google to deliver the market's first AI-enhanced lead underwriting solution. This achievement reflects the team's commitment to innovation, impact, and excellence in applying data science to real-world insurance challenges.As a Data Scientist, you'll work within a wider technical team whose efforts span multiple business functions, bringing a multi-disciplinary approach to problem solving and analysis. Key Responsibilities: Leveraging industry standards, past experience, emerging methodologies and empirical research to develop critical inputs to business information and helping business leaders develop innovative approaches to driving their business. Working on the end-to-end data solution including understanding complex business challenges, designing scientific solutions, working with large and small data sets (including 3rd party and internal data of a wide variety), using cutting-edge machine learning or statistical modelling techniques to derive insights Work collaboratively with data scientists, data engineers and other technical people including pricing and underwriting teams in order to help support maturation of analytics practice within the organisation. Work closely with other members of the data and analytics community at Hiscox, contributing to delivering value though the use of a range of analytics techniques. Person Specification: Degree in a STEM or closely related field or equivalent experience. A further degree is a plus. Deep data science experience with a history of influencing decisions and delivering solutions that create tangible business value. Experience of data science in finance or insurance is an advantage but not required. Ability to conduct high quality research in a suitably timely manner working in both independently and in small teams as required by the task. Familiarity with version control, agile working and other IT delivery tools is required Skills : Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights and clearly articulate findings for target audience. Experience with analytical tools / programming languages and databases (for example: Python, R, SQL). Experience with large language models and prompting, GCP experience is a plus. Interest in a variety of machine learning techniques from simple linear models and random forests to deep learning. A particular interest in natural language processing or machine vision. A strong grasp of foundational statistics is essential. Experience working both in small teams and independently on analytics projects. Strong verbal and written communications skills and effective presentation skills. This is absolutely essential since you will have a lot of exposure to different internal stakeholders. Willingness to learn best practice in software development. Knowledge of insurance is an advantage but not essential. Apply now for further information Work with amazing people and be part of a unique culture If you want to help build a brilliant future; work with amazing people; be part of a unique company culture; and, of course, enjoy great employee benefits that take care of your mental and physical wellbeing, come and join us.

What we do At GoodFit, we help our customers unlock their next stages of growth with highly actionable & relevant data. Without spending thousands of hours on manual research, B2B companies use GoodFit's data engine to identify their next opportunities, understand their customers & generate demand. Our platform takes data from hundreds of sources across the internet and combines it into a real-time, constantly updated view of each opportunity our clients monitor. We process large volumes of data to do this and utilise best-in-class data technologies to deliver this at scale, robustly and efficiently. We have a strong market opportunity and are working with many of the highest-growth B2B companies. To continue accelerating product development and expanding our AI capabilities, we are growing our Data team. About the role As a Senior Data Scientist at GoodFit, you'll be responsible for designing, prototyping, and shipping customer-facing ML/AI features that create measurable product value. You'll operate at the intersection of experimentation and production - partnering closely with Product, Design, and Engineering to explore new ML capabilities, validate them quickly, and help turn them into scalable product features. We're looking for someone who is comfortable navigating ambiguity, framing problems independently, and moving from raw data to shipped product features. Your ability to combine strong modeling fundamentals with product thinking will be key to our success. You will Design and develop ML models (e.g., classification, ranking, scoring) that power customer-facing features Use SQL and Python (pandas, scikit-learn) to analyse product data and identify opportunities Rapidly prototype new AI/ML-driven product ideas in collaboration with Product and Design Define hypotheses, evaluate model performance, and iterate quickly Collaborate with Engineering to productionise validated models Improve automation, personalisation, and predictive capabilities within the product Ensure models are measurable, interpretable, and aligned with user value Assess and validate internal and external data sources used in ML features Evaluate signal quality, bias, completeness, and reliability Define metrics and checks to ensure data is fit for customer-facing use Move from ambiguous problem prototype shipped feature with strong ownership We'd love to hear from you if you have 5+ years of professional experience in data science or applied ML Strong SQL skills and confidence working directly with product data Strong Python experience for modelling (pandas, scikit-learn) Solid understanding of statistics and model evaluation techniques Experience shipping ML-powered features in production A product-oriented mindset and comfort working cross-functionally Strong communication skills and the ability to explain complex concepts clearly Experience working in a startup environment or high-growth company Bonus Experience shipping ML features in a B2B SaaS product Experience with LLM-based systems Experience with recommendation or ranking systems Why you'll love working at GoodFit We are an early-stage startup with a strong growth trajectory. The work you do will have a direct & recognisable impact on our product and customers. We're a remote-first team, valuing long stretches of uninterrupted work over constant connectivity. We have an office near Old Street for those who prefer a hybrid working pattern. The entire team gets together for occasional planning and team meetings (max once per month). As a small team, you'll work across multiple parts of the product and gain exposure to a wide range of technologies. You'll have real ownership - from idea to shipped feature to happy customers - and the opportunity to work directly with experienced founders and product leaders. Hiring process Initial call Main technical interview Two project discussions (including experimentation and product improvement) Final stage interview with Product Manager + team member Inclusion at GoodFit Ltd GoodFit Ltd. is an equal opportunity employer and we strongly encourage people of all ages, colour, lesbian, gay, bisexual, transgender, queer and non-binary people, veterans, parents, people with disabilities, and neurodivergent people to apply. We're happy to make any reasonable adjustments that will help you feel more confident throughout the process - please don't hesitate to let us know how we can help. Research shows that some candidates, particularly women and people from underrepresented groups, may hesitate to apply if they don't meet every listed qualification. If this role excites you, we encourage you to apply even if your experience doesn't align perfectly.

Head of Data Science Salary: £110K - £120K + bonus Location: Manchester 2-4 days a month The Opportunity We're working with a high-growth business that is scaling its data function to the next level. Data scientists here have traditionally combined reporting with predictive modelling, but the business is now creating a dedicated leadership role to bring focus, structure and engineering rigour to the discipline. As Head of Data Science, you'll lead a growing team of 6+ scientists embedded across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You'll drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape the data science strategy, support the career growth of talented scientists, and deliver measurable impact in areas such as search, pricing, personalisation, vouchers, marketing, operations and finance. Skills and Experience Proven leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations Strong background in building and deploying ML models at scale in production environments Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands-on technical expertise with tools such as Databricks, Python, Spark, and GCP/BigQuery Engineering mindset, with experience moving teams toward machine learning engineering best practice Credibility to lead long-tenured individual contributors while providing direction, mentorship and career development If you are looking for a new challenge, then please submit your CV for initial screening and more details.