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Technical Product Manager - Semantic Modeling and Integration Location London Business Area Engineering and CTO Ref # Description & Requirements Who we are / The Team The Metadata Strategy team, part of Bloomberg's CTO Office, defines and delivers the long-term strategy for how semantic data and metadata are structured, managed, and leveraged across the company. Our mission is to build scalable, intelligent systems that make data more meaningful, discoverable, and interoperable across Bloomberg's diverse products and platforms. The Bloomberg Knowledge Graph (KG) is a foundational data asset that models the vast and interconnected landscape of financial markets, entities, events, and metadata across Bloomberg's ecosystem. It serves as the semantic backbone of the firm, enabling consistent, context-rich representation of data that powers a wide array of internal and client-facing applications-from analytics and search to AI, personalization, and risk modeling. As a strategic artifact and the foundation of Bloomberg's Metadata Strategy, the Knowledge Graph underpins the next generation of AI-driven and semantically enriched experiences for Bloomberg clients and internal stakeholders alike. The Semantic Model Product Owner will play a key role in shaping the evolution of this critical platform. About the Role Bloomberg is seeking an experienced and visionary Technical Product Owner to lead the development and evolution of the Bloomberg Semantic Model (BSM)-our enterprise-wide knowledge modeling initiative and oversee the population of Bloomberg's knowledge graph and its integration into Bloomberg's ecosystem. This foundational role is responsible for shaping the strategic roadmap, technical direction, and execution plans for semantic modeling across financial and non-financial domains. The ideal candidate will combine deep technical knowledge of semantic modeling and metadata systems with strong product ownership capabilities, enabling Bloomberg to scale its knowledge graph and metadata strategy in alignment with data, product, and AI workflows across the organization. We'll trust you to Define and champion the long-term vision and strategic roadmap for Bloomberg's enterprise semantic model (BSM), aligning with firm-wide data and product strategies. Develop and deploy strategies for iterative semantic model development and modularization of semantic models and taxonomies for application across disparate use cases. Develop a domain-inclusive knowledge modeling strategy, extending BSM beyond financial instruments to include products, people, processes, and internal operations. Lead integration strategy between BSM and AI/ML teams, enabling semantic grounding for generative AI, intelligent agents, and large language models. Create structured roadmaps for domain-specific modeling, in partnership with data experts across asset classes, reference data, core product, and engineering teams. Oversee the prioritization and sequencing of data domains into the BSM, ensuring a coherent and extensible knowledge architecture. Establish best practices for ontology, taxonomy, and reference model development, ensuring quality, reusability, and semantic consistency. Stay abreast of the latest research, tools, and industry trends in knowledge representation, and incorporate innovative approaches into the modeling lifecycle. Introduce automation and tooling for model development workflows to streamline authoring, validation, and deployment processes. Work closely with data domain experts, core product stakeholders, and engineers to capture modeling requirements and translate them into actionable roadmaps and user stories. Serve as a key liaison between data teams, platform engineers, and AI researchers, facilitating communication and ensuring that models meet stakeholder needs. Foster collaboration between metadata creators and consumers, ensuring semantic infrastructure is usable, scalable, and impactful. You'll need to have 8+ years of experience in a product management role Breadth of knowledge and familiarity with metadata, enterprise data modeling and industry best practices Proficiency in Semantic technologies and semantic data modeling including OWL, RDF/S, SPARQL, SHACL, Ontology design and knowledge graphs Experience in semantic model integration into large ecosystems and legacy systems A strong technical or Engineering background and broad technical fluency A track record of shaping business strategy and roadmaps for technical products and providing reliable, scalable, and easy-to-use infrastructure A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience High degree of organization, individual initiative, and personal accountability Experience with one or more agile project management tools Ability to drive change and influence stakeholders at all levels to deliver impact in a fast-paced, high-pressure environment. We'd love to see A good understanding of financial markets , instruments and products Open source involvement or community presence Exposure to Bloomberg Terminal and/or enterprise data products Experience with collaborative design platforms, such as MIRO and FIGMA. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

User Researcher - Public Sector Projects Location: UK (Hybrid working) Salary: Up to £55,000 + excellent benefits Clearance: Active SC clearance required or eligibility to obtain Applicants must have previous experience working to GDS standards with or inside the public sector click apply for full job details

User Researcher - SC Cleared Location: London (2 days per week onsite) Duration: 6 months Clearance: SC Clearance required Daily rate: Circa £500 We're looking for an experienced User Researcher to join a multidisciplinary delivery team working within a secure government environment click apply for full job details

At Genestack we are tackling the underlying computational and scientific challenges of bioinformatics in order to provide researchers with software tools that will streamline the discovery process and drive forward precision medicine, drug development, and bioinformatics research. We are seeking a senior or lead-level Software Engineer with a strong focus on LLMs and agentic workflows to join our team. In this role, you will be instrumental in integrating LLM-powered features into our bioinformatics applications, working across both prototype exploration and scalable production deployments. We're building tools that help scientists extract, explore, and reason over complex biological data - and we need someone who is both passionate about AI and motivated to deliver real value in life sciences. If you feel these resonate with you, even if you are still developing your hands on production experience with AI technologies, reach out to us with no hesitation. In this role, you will: Design and implement LLM-based features into our applications using modern AI frameworks and methodologies, including RAG and agentic workflows. Work across the AI lifecycle - from rapid prototyping to robust production systems - validating ideas and ensuring they meet real-world performance standards. Explore and evaluate emerging AI tools and technologies (both proprietary and OSS), recommending and integrating those that bring meaningful impact. Collaborate cross functionally with product, data, and bioinformatics teams to ensure AI solutions are useful, performant, and aligned with scientific needs. Ensure reliability and efficiency of AI applications, including optimization of model outputs, latency, token usage, and system robustness in production. Evaluate and integrate open source models, tools, and frameworks when appropriate, ensuring they meet production quality standards, Implement and optimize LLM model serving/tuning pipelines for scalable deployment, Contribute to prompt design and evaluation strategies, helping to mitigate risks like hallucinations and overconfidence in real user environments. Provide technical leadership and mentoring for engineers contributing to AI features, fostering shared learning and best practices. We would like you to have: 6+ years in software development, with a strong foundation in computer science principles, data structures, and algorithms. Ability and motivation to rapidly learn and apply AI frameworks and workflows to production environments Track record of technical leadership (design/architecture reviews, mentoring, cross team alignment) - AI specific production history not required. Excellent skills in Python and a solid understanding of Java, enabling seamless integration of AI components into existing systems. Familiarity with LLM APIs from various vendors (e.g., OpenAI, Anthropic) and frameworks like LangChain or LlamaIndex - prior production deployment is welcome but not strictly required. Conceptual understanding of vector databases, retrieval pipelines, and semantic search; practical exposure (PoCs, prototypes, hack projects) is welcome, and production experience is a plus, not a must. Working knowledge of agentic execution patterns and prompt engineering principles - able to reason about trade offs and guide implementation even if not previously shipped to production. Ability to evaluate open source models, tools, and frameworks and outline integration paths; direct production integrations are optional. Exposure to (or readiness to quickly learn) LLM model serving/tuning (e.g., vLLM, TGI, Triton). Genuine interest in applying AI technologies to advance bioinformatics and contribute to life science innovations. Strong ability to convey complex ideas clearly and collaborate effectively within a team. Excellent verbal and written communication skills in English. It would be nice for you to have: Familiarity with LLMOps practices and observability frameworks. Knowledge of bioinformatics or exposure to real biological datasets. Exposure to frontend development (e.g., React) is a plus We offer you: international team of professionals; fully paid sick leaves; onboarding and domain training for newcomers; flexible work schedule.

At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, policy makers, and entrepreneurs to 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 the lab to society. Explore more at . Welcome to the Institute of Materials & Devices for Life Sciences (MDLS) The vision for the Institute of Materials & Devices for Life Sciences (MDLS) at the Ellison Institute of Technology is to advance human health by scaling interdisciplinary science at the interface of chemistry, biology and engineering. Led by Professor Hagan Bayley, it will house more than 100 researchers engaging in three interrelated endeavors: Nanopore Sensing and Sequencing, 3D Tissue Construction, and Device Engineering. The MDLS Institute will expand nanopore science to detect a wider range of biological molecules, including volatiles in human breath. While in parallel, pioneering novel methods that integrate synthetic and living tissues into structures for organ repair. All the research will be underpinned by the development of new devices capable of serving as powerful tools in clinical settings. Laboratory Manager Role EIT is seeking an organised and experienced Laboratory Manager to lead operational, technical, and compliance functions for a rapidly expanding MDLS research laboratory. This pivotal role covers all aspects of facility management, safety compliance, workflow optimisation, and resource allocation, ensuring seamless support for cutting edge scientific research. The successful candidate will drive rigorous quality assurance across Nanopore science, Tissue Construction, and device engineering, acting as the primary liaison between MDLS research teams and EIT facilities, procurement, quality, and H&S teams. Responsibilities include SOP development, space management, inventory oversight, and audit readiness, enabling scientific excellence, operational resilience, and scalability in a dynamic, mission driven environment. A solid understanding of Nanopore, Tissue Construction, and device engineering is essential. Key Responsibilities Facility Management Oversee daily facilities of the laboratories, ensuring efficient workflow and adherence to the quality standards specifically required for the MDLS Institute. Implement and enforce laboratory safety procedures, ensuring compliance with regulatory requirements. Manage training, mentoring, of MDLS researchers to ensure researchers are operating compliantly across all workflows and procedures. Monitor lab conditions, including temperature, humidity, and air quality, to ensure that they meet the specifications required for operations. Work closely with scientific leadership to understand research objectives and adapt laboratory operations to support evolving needs. Serve as the key point of contact for the central EIT facilities team and provide updates on equipment, facilities, and operational issues, suggesting improvements or modifications for consideration. Equipment Management Work with MDLS researchers and the EIT procurement specialist to ensure the laboratory is properly maintained and organised, with all equipment, consumables, and reagents available for research projects including inventories and COSHH assessments. Oversee the set up of laboratory facilities and work with Lab Technicians and Lab staff to ensure these protocols are maintained, including cleanliness, accident reporting procedures, signage for biohazards. Work with team members to ensure that all logs and systems for overseeing the maintenance equipment and instruments are in place, and appropriate reporting mechanisms are in place for the MDLS. Oversee maintenance, calibration, and troubleshooting of laboratory equipment. Work with external vendors and service providers to maintain or repair laboratory equipment as needed. Maintain communication with research teams, establishing a scheduling system for shared facility and equipment access. Ensure improvements are identified to manage scheduling conflicts when facility restrictions are identified. Operational Support Develop and implement Standard Operating Procedures (SOPs) for relevant laboratory processes, ensuring consistency and compliance with quality standards. Maintain an up to date library of specialist risk assessment forms and COSHH forms for all relevant lab substances and ensure regular monitoring, review, and updates as needed. Troubleshoot technical and operational issues in workflows and implement solutions to prevent delays in project timelines. Manage access and user training of equipment, including establishment of appropriate training procedures for new users. Optimise laboratory space and equipment usage to support the work of a rapidly growing research team while maintaining flexibility for diverse research projects. Oversee effective and compliant waste management processes for the MDLS. Inventory and Supply Chain Management Working alongside the technical procurement specialist, laboratory technicians and relevant finance departments, manage inventory levels for laboratory consumables, reagents, and critical supplies, ensuring uninterrupted operations. Track and maintain proper documentation of inventory and ensure the timely ordering of supplies to avoid stockouts or delays. Maintain a system for tracking the usage, storage, and disposal of hazardous materials, ensuring safety and regulatory compliance. Quality Assurance and Compliance Oversee compliance with relevant safety, regulatory, and quality standards in all aspects of laboratory operations. Induction and protocol development for MDLS lab compliance areas. Implement and maintain quality control (QC) processes for relevant processing workflows, ensuring high accuracy and reproducibility of results. Participate in internal and external audits and inspections, ensuring the lab meets all compliance requirements. Ensure proper documentation of processes, workflows, and sample handling procedures in accordance with regulatory requirements. Designated person for HumanTissue Authority (HTA) license, and sample workflow mapping and protocols to prepare labs for license. Essential Knowledge, Skills and Experience Educated to a minimum of BSc up to PhD in a relevant field. At least 5 years of experience working in a laboratory environment, with a minimum of 2 years in a management or supervisory role. Familiarity with laboratory safety protocols, regulatory requirements, and quality management systems. Familiar with biosafety across tissue engineering/biological/chemistry research (e.g., Chemicals/radioactivity/lasers). Key Attributes Strong leadership and team management skills, with the ability to motivate and manage a diverse group of laboratory professionals. Excellent problem solving and troubleshooting skills in a high tech laboratory environment. Strong organisational skills, with an ability to manage multiple projects and priorities. In depth knowledge of laboratory operations, including equipment maintenance, safety, and regulatory compliance. Proficiency in laboratory management software, inventory systems, and data tracking tools. Effective communication skills, with the ability to work collaboratively across multidisciplinary teams. Detail oriented with strong analytical and critical thinking skills. Ability to work in a fast paced, high pressure environment with a flexible, solutions oriented mindset. Strong commitment to maintaining a safe, efficient, and compliant laboratory environment. Our Benefits Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Working Together - What It Involves You must have the right to work permanently in the UK with a willingness to travel as necessary. You will live in, or within easy commuting distance of, Oxford. NB: the above are both optional based on the role being recruited for

User Researcher - Public Sector Projects Location: UK (Hybrid working) Salary: Up to £55,000 + excellent benefits Clearance: Active SC clearance required or eligibility to obtain We're working with a leading consultancy that's driving digital transformation across the UK public sector click apply for full job details

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to financial institutions across the EMEA markets. You'll drive the adoption of safe, frontier AI by securing strategic deals with banks, insurance companies, and financial research institutions. You'll leverage your consultative sales expertise in the financial services sector to propel revenue growth while becoming a trusted partner to financial stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in banking, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with financial decision-makers. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic within the financial services sector. Navigate complex financial institutions to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to financial services procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze financial market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within financial departments, research centers, and administrative offices. Collaborate cross-functionally to differentiate our offerings for financial applications Navigate complex financial stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus Inform product roadmaps and features by gathering feedback from financial users and conveying financial market needs. Provide insights that strengthen our value proposition for financial services Continuously refine the financial services sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: 8+ years of B2B sales experience specializing in financial services technology, with proven expertise in SaaS platforms, API solutions, and emerging technologies A track record of managing complex sales cycles within financial institutions and securing strategic deals by understanding both technical requirements and financial use cases Demonstrated ability to navigate financial bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments Extensive experience negotiating complex agreements within financial services procurement frameworks and policies Proven experience exceeding revenue targets in the financial services sector by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various financial audiences, from analysts and researchers to senior executives Deep understanding of financial services buying cycles, decision-making processes, and key pain points A strategic, analytical approach to assessing the financial services market combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems and their applications in financial services. You feel strongly about ensuring frontier AI systems are developed safely and ethically for financial use Salary The expected salary range for this position is: Annual Salary: £195,000 - £280,000 GBP Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We sponsor visas. If we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, policy makers, and entrepreneurs to 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 the lab to society. Explore more at . Welcome to the Institute of Materials & Devices for Life Sciences (MDLS) The vision for the Institute of Materials & Devices for Life Sciences (MDLS) at the Ellison Institute of Technology is to advance human health by scaling interdisciplinary science at the interface of chemistry, biology and engineering. Led by Professor Hagan Bayley, it will house more than 100 researchers engaging in three interrelated endeavors: Nanopore Sensing and Sequencing, 3D Tissue Construction, and Device Engineering. The MDLS Institute will expand nanopore science to detect a wider range of biological molecules, including volatiles in human breath. While in parallel, pioneering novel methods that integrate synthetic and living tissues into structures for organ repair. All the research will be underpinned by the development of new devices capable of serving as powerful tools in clinical settings. Laboratory Manager Role EIT is seeking an organised and experienced Laboratory Manager to lead operational, technical, and compliance functions for a rapidly expanding MDLS research laboratory. This pivotal role covers all aspects of facility management, safety compliance, workflow optimisation, and resource allocation, ensuring seamless support for cutting edge scientific research. The successful candidate will drive rigorous quality assurance across Nanopore science, Tissue Construction, and device engineering, acting as the primary liaison between MDLS research teams and EIT facilities, procurement, quality, and H&S teams. Responsibilities include SOP development, space management, inventory oversight, and audit readiness, enabling scientific excellence, operational resilience, and scalability in a dynamic, mission driven environment. A solid understanding of Nanopore, Tissue Construction, and device engineering is essential. Key Responsibilities Facility Management Oversee daily facilities of the laboratories, ensuring efficient workflow and adherence to the quality standards specifically required for the MDLS Institute. Implement and enforce laboratory safety procedures, ensuring compliance with regulatory requirements. Manage training, mentoring, of MDLS researchers to ensure researchers are operating compliantly across all workflows and procedures. Monitor lab conditions, including temperature, humidity, and air quality, to ensure that they meet the specifications required for operations. Work closely with scientific leadership to understand research objectives and adapt laboratory operations to support evolving needs. Serve as the key point of contact for the central EIT facilities team and provide updates on equipment, facilities, and operational issues, suggesting improvements or modifications for consideration. Equipment Management Work with MDLS researchers and the EIT procurement specialist to ensure the laboratory is properly maintained and organised, with all equipment, consumables, and reagents available for research projects including inventories and COSHH assessments. Oversee the set up of laboratory facilities and work with Lab Technicians and Lab staff to ensure these protocols are maintained, including cleanliness, accident reporting procedures, signage for biohazards. Work with team members to ensure that all logs and systems for overseeing the maintenance equipment and instruments are in place, and appropriate reporting mechanisms are in place for the MDLS. Oversee maintenance, calibration, and troubleshooting of laboratory equipment. Work with external vendors and service providers to maintain or repair laboratory equipment as needed. Maintain communication with research teams, establishing a scheduling system for shared facility and equipment access. Ensure improvements are identified to manage scheduling conflicts when facility restrictions are identified. Operational Support Develop and implement Standard Operating Procedures (SOPs) for relevant laboratory processes, ensuring consistency and compliance with quality standards. Maintain an up to date library of specialist risk assessment forms and COSHH forms for all relevant lab substances and ensure regular monitoring, review, and updates as needed. Troubleshoot technical and operational issues in workflows and implement solutions to prevent delays in project timelines. Manage access and user training of equipment, including establishment of appropriate training procedures for new users. Optimise laboratory space and equipment usage to support the work of a rapidly growing research team while maintaining flexibility for diverse research projects. Oversee effective and compliant waste management processes for the MDLS. Inventory and Supply Chain Management Working alongside the technical procurement specialist, laboratory technicians and relevant finance departments, manage inventory levels for laboratory consumables, reagents, and critical supplies, ensuring uninterrupted operations. Track and maintain proper documentation of inventory and ensure the timely ordering of supplies to avoid stockouts or delays. Maintain a system for tracking the usage, storage, and disposal of hazardous materials, ensuring safety and regulatory compliance. Quality Assurance and Compliance Oversee compliance with relevant safety, regulatory, and quality standards in all aspects of laboratory operations. Induction and protocol development for MDLS lab compliance areas. Implement and maintain quality control (QC) processes for relevant processing workflows, ensuring high accuracy and reproducibility of results. Participate in internal and external audits and inspections, ensuring the lab meets all compliance requirements. Ensure proper documentation of processes, workflows, and sample handling procedures in accordance with regulatory requirements. Designated person for HumanTissue Authority (HTA) license, and sample workflow mapping and protocols to prepare labs for license. Essential Knowledge, Skills and Experience Educated to a minimum of BSc up to PhD in a relevant field. At least 5 years of experience working in a laboratory environment, with a minimum of 2 years in a management or supervisory role. Familiarity with laboratory safety protocols, regulatory requirements, and quality management systems. Familiar with biosafety across tissue engineering/biological/chemistry research (e.g., Chemicals/radioactivity/lasers). Key Attributes Strong leadership and team management skills, with the ability to motivate and manage a diverse group of laboratory professionals. Excellent problem solving and troubleshooting skills in a high tech laboratory environment. Strong organisational skills, with an ability to manage multiple projects and priorities. In depth knowledge of laboratory operations, including equipment maintenance, safety, and regulatory compliance. Proficiency in laboratory management software, inventory systems, and data tracking tools. Effective communication skills, with the ability to work collaboratively across multidisciplinary teams. Detail oriented with strong analytical and critical thinking skills. Ability to work in a fast paced, high pressure environment with a flexible, solutions oriented mindset. Strong commitment to maintaining a safe, efficient, and compliant laboratory environment. Our Benefits Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Working Together - What It Involves You must have the right to work permanently in the UK with a willingness to travel as necessary. You will live in, or within easy commuting distance of, Oxford. NB: the above are both optional based on the role being recruited for

London, UK Team: Product Prolific At Prolific, our marketplace is rooted in academia, and that commitment runs deep. Alongside our work to accelerate the future of AI, we're continuing to redefine how the world conducts research in industry and academic contexts. What started as a research driven idea has evolved into the world's most trusted infrastructure for human data. Today, tens of thousands of researchers from enterprises and top universities across the globe rely on Prolific to power their work, from peer reviewed studies to the next generation of technological breakthroughs. We're doubling down on our mission to serve the research community, deepening relationships, building smarter tools, and making high quality human data more accessible than ever. The Role As part of our operational evolution we are looking for our first ever Senior Product Manager to be fully dedicated to building for our Research customers. You will take a 'founder mindset' to our heritage business, leading strategy and execution for a broad remit product team focused on academic and business research customers, many of them self serving, but increasingly more of them institutional or enterprise users. Impact: You will be the Product person responsible for the product impact and outcomes of the team and future teams building in our Research Group. Online research is shifting rapidly with the advent of AI tools for good and bad (consider: AI enabled online research fraud) and this has reshaped the playing field. This role will inherit a platform which has been used and loved by researchers for over 12 years, with the opportunity to own, evolve and where necessary, start again, for our next chapter. You'll report directly into the VP Product of Prolific, and will work cross functionally while accountable for a stream aligned team. Responsibilities: You will be responsible for product managing a stream aligned team of your own. This means you'll be accountable for the outcomes and impact of that team. You'll be advising and building with the General Manager for Research, as well as varied collaborators. Culture: Adding on to our Prolific Principles, we expect colleagues in the Product, Research, and Design Group to demonstrate reliability, grit, diplomacy, a bias for action, and a dogged focus on value - you'll be a champion of these behaviors yourself, and in the culture of your team. Accountability and autonomy are two sides of the same coin, and we expect you to demonstrate both. What you'll be doing You'll bring your varied Product career experience to bear to solve customer problems and create new opportunities for users to fall in love with Prolific. You'll raise the bar of our product - and Product team - by making bets and building products that customers love and which drive commercial value for our business. You will be an unblocker and simplifier of complexity: colleagues will bring you problems, and emerge optimistic, with solutions. You'll partner productively with Product Design, User Research, Analytics, and Engineering to find ways to deliver products in a test learn iterate fashion. What you'll bring An extensive and varied track record working embedded in technology teams alongside engineers and designers. Experience of optimising funnels in close collaboration with marketing and/or customer facing disciplines, or of working within a growth team. Competence or expertise in most or all of: The industry's prevailing Product/Engineering methodologies, hands on experience of Agile frameworks, continuous discovery, continuous delivery, JTBD frameworks, thin or vertical slicing, self organizing teams, advocacy of 'thinking in bets,' test learn iterate loops, etc. A storyteller's flair, a model teamplayer, belief in 'strong opinions weakly held', personal accountability, and a relentless can do attitude. Even better if you have Experience building for the academic or research sector. Experience in a high growth, high urgency scaling business. A track record of giving back to your Product community. Why Prolific is a great place to work We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation - one that reflects the breadth and best of humanity. Working for us will place you at the forefront of AI innovation, providing access to our unique human data platform and opportunities for groundbreaking research. Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission driven culture. By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.

About Freetrade Freetrade's mission is to become the default place to invest. Investing has been too complicated and expensive for too long, keeping millions from making the most of their savings. We're changing that. We're building our team and looking for people who are excited to reshape how our customers invest and grow their wealth. If you're driven by solving complex problems and building innovative products, you'll fit right in. 2025 is a big year for us. In January, we announced a game changing deal to become part of the IG Group. We'll continue to operate as an independent business while gaining access to the resources and support of an established leader in the space. This year, we're accelerating our roadmap and taking our products to the next level. We're building new features like mutual funds, bonds, and family investment tools. We're also exploring how we can leverage AI to deliver an even better experience for our customers. About the role This role would help shape the user research function at Freetrade by aligning behavioural understanding and customer insights into our Product strategy and decision-making. You will Lead end-to-end qualitative and mixed-method research projects, including interviews, moderated sessions, concept testing and usability studies Shape discovery work with Product and Design, helping teams define the right questions and approach Conduct light quantitative work that supports qualitative findings, such as simple evaluative surveys Synthesise behavioural insights into clear, actionable recommendations that influence product direction Develop and maintain research standards, frameworks and ways of working for the wider team Collaborate with Product, Design, Marketing and Data to ensure research is well-scoped and aligned with business goals Champion a customer-centric culture across the organisation, ensuring the customer perspective is embedded throughout the product lifecycle Manage research operations, including planning, recruitment and tooling, to ensure efficient and high-quality delivery Communicate insights effectively to a range of stakeholders, tailoring depth and format to support fast, confident decision-making You have Significant experience in UX Research (+5 years), ideally across consumer-facing digital products Deep expertise in qualitative methods, with strong synthesis and storytelling skills Experience with mixed-method approaches, including light surveys to complement qualitative work Experience working in fast-paced, iterative environments (ideally in financial services or similar) Experience with tools such as Dovetail, UserTesting or similar Experience mentoring or guiding peers in research practices A pragmatic, outcome-focused mindset, able to choose the right level of depth for the question and timeline Experience shaping or evolving a research practice, including methods, standards and tooling Confidence partnering closely with senior leadership, product managers and designers to influence discovery, strategy and prioritisation Strong communication skills, able to make complex insights easy to understand and act upon Curiosity and empathy: you're motivated by understanding how people think, feel and behave Education (optional) Formal education in human-computer interaction, psychology, behavioural science, design or a related field is beneficial, but not required. Equivalent professional experience in UX Research is fully acceptable. Benefits & Logistics Freetrade is the place to accelerate your career. Our benefits package and ways of working are designed to attract and retain the most talented people who are dedicated to making an impact at Freetrade. Here's what's on offer in 2025: Hybrid working culture We're operating in a hybrid model: 3-days in office / 2-days from home. We believe great collaboration happens in person and our beautiful offices in central London and Budapest are designed to bring people together. Office days: Monday, Tuesday, Thursday Work from home days: Wednesday, Friday This setup helps us stay connected, collaborate more effectively, and keep building a culture where we all do our best work together, including dedicated days for focus work. Flexibility for those who need it We have a hybrid working model, but life happens. If you need flexibility let's talk about it, whether you're a parent or have other care responsibilities. Values at Freetrade we live and breathe our values: Honesty, Focus and Grit. Expect to be asked about these in your interview! Benefits In London Competitive salary - carefully benchmarked. Holidays - 25 days plus UK public holidays. Your birthday off, plus one extra day for every year at Freetrade. Enhanced pension - We'll match your contributions up to 5%. Group Life Insurance - Protect your loved ones with coverage at 5x your salary, ensuring financial security in any circumstance. Private Health Insurance - Which includes access to high quality medical care, mental health support, dental and vision plans, Wellness programs and preventative care initiatives are also provided to ensure the wellbeing of your entire family. Bonus Scheme - join us and share in our growth. Bonuses are linked to both company success and your individual impact. Income Protection Cover - Safeguard your income with comprehensive coverage, ensuring financial stability in the event of illness or injury. Enhanced parental leave - Time off when it matters most. Flexibility for those who need it - We're office first, but life happens. Whether you're a parent or have care responsibilities, we focus on output and trust you to manage your time. Learning & Development - We fund industry qualifications so you can grow as a financial services professional. Cycle to Work scheme - Get a high quality bike and gear through our salary sacrifice scheme, spreading the cost with tax free monthly installments. Paid Sick Leave - Receive 10 days of fully paid sick leave each calendar year. Interview Process Initial interview - A chat with one of our Talent Partners. Hiring Manager interview - A deep dive into your skills and experience. Take home Task & Presentation - Show us how you think and solve problems Executive interview - A conversation with our senior leaders, where we also assess cultural fit. We are an Equal Opportunity employer committed to a diverse and representative team. Whatever your race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability - we want to hear from you. To find out more about how we look after your personal data when you apply for a job with us, please see our Recruitment Privacy Policy here. Please note we are not accepting agency CVs.

About Mistral Mistral AI is a dynamic, collaborative company focused on AI innovation. We democratize AI through high-performance, optimized, open-source models, products and solutions, designed to meet enterprise needs whether on-premises or in cloud environments. Our teams are distributed across France, USA, UK, Germany and Singapore and are committed to driving innovation. Join us to be part of a pioneering company shaping the future of AI. See more about our culture at mistral.ai/careers. About The Job Mistral AI is seeking an Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. You will be an integral part of the Applied AI Engineering team, driving the deployment of Mistral AI products and building complex enterprise use-cases. You will work with customers from pre-sale to post-implementation to ensure our solutions meet and exceed expectations. You will manage customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers) and serve as a key resource in externalizing our research in production settings. What you will do You'll individually help deploy production use cases with a considerable business impact across various industries. You'll work on state-of-the-art GenAI applications, from consumer products to industrial use cases, guiding a crucial technological transformation with our customers. You'll collaborate with researchers, other AI engineers, and product engineers on complex customer projects involving fine-tuning, state-of-the-art LLM applications, and contributing to open-source codebases for tasks such as inference and fine-tuning. You'll participate in pre-sales calls to understand potential clients' needs, challenges, and aspirations, and provide technical guidance on our products and technologies. You'll collaborate with our product and science teams to continuously improve our product and model capabilities based on customer feedback. About you You are fluent in English. You hold a PhD or master's degree in AI/data science or you are self-made. You have 7-10+ years as a technical individual contributor on AI-based products. You have experience in fine-tuning LLMs and tackling advanced RAG or agentic use cases. You have a deep understanding of machine learning and LLM algorithms. You have a solid understanding of cloud infrastructure and deploying AI-based products. You have deployed or built products with large-scale user bases. You have strong communication skills to explain complex technical concepts to technical and non-technical audiences. Ideally you have: Contributed to open-source projects in the LLM space. Experience as a Forward Deployed Engineer, Staff Engineer ML, or Staff Data Scientist. Benefits We have local offices in Paris, London, Marseille, Amsterdam and Singapore. France: Competitive cash salary and equity; daily lunch vouchers; gym/health benefits; parental leave; visa sponsorship. UK: Competitive cash salary and equity; insurance; transportation reimbursements; gym membership reimbursement; meal allowance; pension plan. About The Team At Mistral AI, we are a tight-knit, nimble team dedicated to bringing our cutting-edge AI technology to the world. Our mission is to make AI ubiquitous and open. Our product values are Cool, Precision, Human-Centric, Captivating and Ambitious.