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Company Description Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With a community of over 35 million users, Depop is on a mission to make fashion circular, redefining fashion consumption. Founded in 2011, the company is headquartered in London, with offices in New York and Manchester, and in 2021 became a wholly-owned subsidiary of Etsy. Find out more at Our mission is to make fashion circular and to create an inclusive environment where everyone is welcome, no matter who they are or where they're from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users. We're proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We're continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have. If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to . For any other non-disability related questions, please reach out to our Talent Partners. Role Depop is looking for a Staff Machine Learning Scientist to join our new Core ML team in the UK. You will work alongside a multi-functional team of Product Managers, ML Engineers, and fellow ML Scientists, helping build and maintain foundational machine learning models and infrastructure, such as product matching models, image embedding services, and lightweight classifiers, that support multiple product and marketing use cases across Depop. As a staff-level member of the team, you will be expected to set the technical vision, lead high impact initiatives, and coach others to drive innovation at scale, while working across multiple domains and partners. Responsibilities Own the design, development, and deployment of robust machine learning solutions to solve cross cutting problems within the fashion resale space Work with and fine tune models for representation learning, computer vision, and classification, and own efforts to productionize, scale, and evolve them as shared systems Partner closely with senior stakeholders across the business to define problems, and lead the design of general purpose, scalable ML solutions that power features like content understanding, moderation, and personalisation Lead the end to end lifecycle of large scale experiments, from hypothesis generation through evaluation, to guide model and product improvements, ensuring statistical difficulty and real world applicability Stay up to date with research, actively contribute to internal knowledge sharing and ML best practices, and chip in technical expertise to long term product and data strategy Participate in team ceremonies, such as agile cadences, technical white boarding sessions, and planning/road mapping, setting technical direction and improving for the team Communicate technical findings clearly and confidently to both technical and non technical audiences, including senior stakeholders, and influence decision making Qualifications Proven track record of delivering and scaling models that solve complex, real world problems with measurable business impact Deep understanding of machine learning concepts and experience applying them in production settings, using frameworks such as Transformers, PyTorch, or TensorFlow Strong Python skills, with the ability to write clean, modular, production grade code, and a solid understanding of data engineering and MLOps principles Ability to lead the end to end lifecycle of ML initiatives, work independently in ambiguous problem spaces, and mentor and grow other scientists and engineers Strong collaboration and interpersonal skills, with experience aligning technical approaches with multi functional teams and stakeholders Bonus Points - Experience with NLP, image classifiers, deep learning, or large language models Bonus Points - Experience with experiment design and conducting A/B tests Bonus Points - Experience building shared or platform style ML systems Bonus Points - Experience with Databricks and PySpark Bonus Points - Experience working with AWS or another cloud platform (GCP/Azure) Additional Information Health + Mental Wellbeing: PMI and cash plan healthcare access with Bupa; Sub sidised counselling and coaching with Self Space; Cycle to Work scheme with options from Evans or the Green Commute Initiative; Employee Assistance Programme (EAP) for 24/7 confidential support; Mental Health First Aiders across the business for support and signposting Work/Life Balance: 25 days annual leave with option to carry over up to 5 days; 1 company wide day off per quarter; Up to 2 days additional paid leave per year for volunteering; Fully paid 4 week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love Flexible Working: MyMode hybrid working model with Flex, Office Based, and Remote options-all role dependant All offices are dog friendly Ability to work abroad for 4 weeks per year in UK tax treaty countries Family Life: 18 weeks of paid parental leave for full time regular employees; IVF leave, shared parental leave, and paid emergency parent/carer leave Learn + Grow: Budgets for conferences, learning subscriptions, and more; Mentorship and programmes to up skill employees Your Future: Life Insurance (financial compensation of 3x your salary); Pension matching up to 6% of qualifying earnings Depop Extras: Employees enjoy free shipping on their Depop sales within the UK. Special milestones are celebrated with gifts and rewards!

Founding Applied Scientist Build AI systems that learn from experience to move real business metrics London / Remote Full-time Pavo Labs About Pavo Pavo is building Enterprise Superintelligence: compounding systems that take ownership of business outcomes and work with humans to deliver them. We believe that while foundation models are necessary, they are not sufficient. The hard problem is systems intelligence: end-to-end architectures that understand a company's code, data, and decisions, and improve themselves through experience. We are assembling a small, senior team of researchers and engineers obsessed with systems-first intelligence. Our current team consists of PhDs and ML engineers from top applied ML and coding agent companies, with a heritage of shipping systems at Spotify, ShareChat, and Sourcegraph scale. Our team has built impressive momentum with a small group of highly capable engineers and researchers. The Opportunity As a Founding Applied Scientist, you will operate at the intersection of research and engineering, building the core systems that allow AI teammates to learn from enterprise environments, reason over tribal knowledge, and drive measurable business impact. You will help shape how applied science is practiced in the industry in the age of agents. This is a high-autonomy role for a builder who wants to move beyond static benchmarks and solve the "last mile" problem of AI reliability and agency in the enterprise. What You'll Build You will research, design, and ship the next generation of our system architecture, focusing on: Agents & Tribal Knowledge Systems: Design multi-agent architectures that tackle complex, long-horizon tasks. Solve High-Impact Applied Science Problems: Lead the charge in identifying, scoping, and solving complex business problems using machine learning. This includes everything from improving user engagement and retention to optimizing pricing and inventory. Partner with Customers: Work directly with the engineering and product teams of our most strategic customers. You'll be their trusted advisor for all things machine learning, helping them adopt agentic architectures. End-to-End Model Development: Design, build, and deploy production-grade machine learning models for our customers using the Pavo AI platform, extending its capabilities where necessary to handle large-scale user-centric systems. What We Are Looking For We are looking for exceptional individuals who can operate at the frontier of applied AI research. You should be as comfortable reading a NeurIPS paper as you are debugging a distributed system. Core Qualifications Experience & Impact: 4+ years of experience in Applied Science or ML Engineering, with a clear track record of shipping ML products that directly impacted top-line business metrics (e.g., retention, engagement, revenue) at scale (100M+ users). Production Engineering: You are an engineer first. Deep proficiency in Python/C++, experience with low-latency inference systems, and familiarity with distributed computing frameworks (Ray, Spark, Flink). You write code that survives in production, not just notebooks. The Full ML Lifecycle: Expertise in end-to end system design: from feature stores and real time data pipelines (Kafka/Beam) to A/B testing infrastructure and model monitoring. You understand the nuances of online vs. offline evaluation and have experience solving for feedback loops in production. Algorithmic Depth: Strong foundations in core ML approaches used in large-scale search/recsys (embeddings, retrieval & ranking, GNNs, bandits) combined with expertise in the frontier stack (LLMs, RL, multi agent orchestration). Technical Strategy: Experience defining technical roadmaps and architectural standards. You can navigate trade-offs between model complexity, serving latency, and engineering velocity. Nice to Have PhD or M.S. in Computer Science, Statistics, or a related quantitative field. Experience at a frontier AI lab or high growth AI startup. Publications in top tier ML conferences (e.g., NeurIPS, ICML, ICLR, KDD, RecSys). Background in recommender systems, personalization, causal inference, or computational advertising. Why Join Us Founding Equity: Significant ownership in a company tackling the next layer of the AI stack. Hard Problems: Work on unsolved problems in agentic reasoning, memory, and reinforcement learning. World Class Team: Collaborate with a dense talent cluster of researchers and engineers who have shipped products serving hundreds of millions of users. Pavo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Behavioral Science Specialist - Supervising Associate Location: London Other locations: Anywhere in Region Requisition ID: The Behavioral Scientist will apply advanced behavioral science, psychometrics, and quantitative and qualitative research methods to design, analyze, and interpret complex talent and employee experience data. The role is responsible for developing scientifically rigorous insights that inform strategic talent decisions, workforce interventions, and organizational effectiveness initiatives. This position requires deep expertise in organizational research methodology, predictive and prescriptive modeling, and statistical programming. The Behavioral Scientist partners closely with Talent Insights and Analytics, Employee Listening, and senior Talent stakeholders to translate research findings into practical, evidence based recommendations. The role contributes to advancing the firm's analytical maturity by embedding strong scientific standards, scalable methodologies, and advanced modeling approaches into talent analytics and decision making. Essential Functions of the Job Design and conduct applied organizational research using robust quantitative methodologies, including experimental, quasi experimental, and longitudinal designs. Lead advanced analysis of employee listening, experience, and talent data using statistical programming languages (SQL, R, and/or Python). Apply advanced predictive and prescriptive modeling techniques (e.g., regression, multilevel models, machine learning, optimization approaches) to address complex talent and workforce questions. Develop and validate psychometric models, including scale development, factor analysis, reliability and validity assessment, and measurement invariance testing. Integrate multiple data sources (survey, experience, talent, and operational data) to generate holistic and scientifically defensible insights. Translate complex analytical and research outputs into clear narratives, recommendations, and decision support materials for senior Talent and business stakeholders. Support the design and evaluation of talent interventions by defining success metrics, analytic approaches, and evidence thresholds. Contribute to the development of standardized research and analytics frameworks, ensuring consistency, rigor, and scalability across Talent Insights and Analytics. Partner with Talent IT, data engineering teams, and external vendors to ensure appropriate data structures, access, and analytical readiness. Monitor emerging research, analytical techniques, and best practices in behavioral science, psychometrics, and people analytics to continuously enhance internal capabilities Analytical/Decision Making Responsibilities Apply expert judgment in selecting appropriate research designs, statistical methods, and modeling approaches based on business context and data constraints. Make recommendations on analytic strategies, modeling techniques, and interpretation standards to ensure scientific rigor and decision relevance. Evaluate the strength of evidence supporting findings and clearly communicate limitations, assumptions, and confidence levels. Support decisions related to prioritization, design, and continuous improvement of Talent Insights and Analytics research and modeling initiatives. Influence stakeholder decision making by synthesizing data, research findings, and behavioral science principles into actionable guidance Supervision Responsibilities Act as a subject matter expert and thought partner within Talent Insights and Analytics. Provide informal coaching and technical guidance to colleagues on research design, analytics, and interpretation. Collaborate closely with cross functional teams to ensure analytical quality, consistency, and impact. Build trusted relationships through credibility, rigor, and constructive challenge. Ability to develop people, skills in coaching, mentoring, and learning on the job Effectiveness in building trust, respect, and cooperation among teams Knowledge and Skills Requirements Deep expertise in behavioral science, with strong grounding in Industrial and Organizational Psychology or a closely related discipline. Advanced knowledge of organizational research methodology, including experimental design, causal inference, and applied statistical modeling. Strong command of psychometrics, including scale construction, validation, and measurement theory. Advanced analytical skills using SQL, R, and/or Python for data extraction, manipulation, modeling, and analysis. Demonstrated expertise in predictive and prescriptive analytics, including advanced statistical and machine learning techniques. Strong data storytelling and visualization skills to communicate complex findings effectively to non technical audiences. Strong business acumen and ability to contextualize research insights within broader talent and organizational strategies. Ability to operate independently on complex analytical problems while collaborating effectively in cross functional, global teams. High tolerance for ambiguity and ability to apply scientific rigor in fast paced, evolving environments. Strong written and verbal communication skills, with a global and culturally aware mindset Other Requirements Due to the global nature of the role, flexibility to work alternative hours may be required. Excellent written and verbal English communication skills are required. Job Requirements Education: Ph.D. strongly preferred in Industrial and Organizational Psychology, Organizational Psychology, Behavioural Science, Statistics, or a closely related quantitative discipline. Master's degree with significant applied research experience may be considered. Certification Requirements Professional certifications or active engagement in relevant professional or academic communities preferred but not required. Experience Demonstrated experience conducting applied organizational research in a business, consulting, or applied research environment. Experience applying advanced statistical, predictive, and prescriptive modeling techniques to real world organizational problems. Hands on experience with psychometric analysis and measurement development in organizational contexts. Experience working with large scale employee listening or experience datasets. Proven ability to translate complex research findings into practical, business relevant insights. Experience collaborating with Talent, HR, or People teams to shape evidence based decisions. Experience working in global, matrixed, and fast paced environments. Experience partnering with data engineering teams or external vendors to enable advanced analytics. What we offer you The compensation ranges below are provided in order to comply with United States pay transparency laws. Other geographies will follow their local salary guidelines, which may not be a direct conversion of published US salary ranges. We'll develop you with future focused skills and equip you with world class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $92,600 to $173,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $111,100 to $188,900. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team led and leader enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well being. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1 800 EY HELP3, select Option 2 for candidate related inquiries . click apply for full job details

At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state of the art in Large Language Models (LLMs), Multimodal Large Language Models (MLLMs), Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross functional teams to design, develop, and deploy cutting edge LLM, MLLM, CV models and algorithms and solutions that enable intelligent reasoning, perception and understanding of multimodal data. What You'll Do Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see ) EU: Tampere, Finland or London, UK or Brussels, Belgium Responsibilities Own one or more key technical areas across LLM, MLLM, CV product portfolio. Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature. Research and develop cutting edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources. Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data. Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding. Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource constrained devices. Join forces with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures. Evaluate the performance of LLM, MLLM, CV models using real world datasets and design experiments to validate their effectiveness. Stay up to date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects. Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community. Experience coach and mentor junior scientists. What You Bring PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, years for Principal ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI. Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top tier conferences or journals. Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system. Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end to end training pipeline. Leverage state of the art research to deliver high quality models enabling multiple AI projects at scale. Contribute back to the research community via academic publications, tech blogs, open source code and contributing to internal/external AI challenges Experience in developing computer vision algorithms for resource constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable. Excellent problem solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment. Strong communication skills and the ability to effectively present complex technical concepts to both technical and non technical audiences. Benefits that Benefit You Competitive salary and 401k with employer match Discretionary paid time off Paid parental leave for all Fitness Programs Emotional & Mental Wellness support And yes, we have snacks in our offices Benefits listed herein may vary depending on the nature of your employment and the location where you work Don't meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve. The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions. Some roles may also require legal eligibility to work in a firearms environment. Axon's mission is to Protect Life and is committed to the well being and safety of its employees as well as Axon's impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment. We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We're committed to hiring the best talent - regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances - and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email . Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.

Must have active enhanced DV Clearance Junior to Lead levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Central London Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a p click apply for full job details

dunnhumby is the global leader in Customer Data Science, partnering with the world's most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers click apply for full job details

Founded in 2018, Causaly's AI platform for enterprise scale scientific research redefines the limits of human productivity. We give humans a powerful new way to find, visualize and interpret biomedical knowledge and automate critical research workflows, accelerating solutions for some of the greatest health challenges we face. We work with some of the world's largest biopharma companies and institutions on use cases spanning Drug Discovery, Safety and Competitive Intelligence. You can read more about how we accelerate knowledge acquisition and improve decision making in our blog posts here: Blog - Causaly We are backed by top VCs including ICONIQ, Index Ventures, Pentech and Marathon. About the team We're hiring AI engineers to help us transform research outcomes in biomedical sciences. We utilise generative AI and agents to help scientists find novel connections and insights from biomedical literature and datasets. Delivering a faster research experience is not just a matter of picking the latest LLM model. Getting accurate, scientifically relevant, trustworthy and meaningful results relies on building trust with our users that comes from integrating proper levels of guardrails, biomedical curation, consistent update cycles and robust deployment practices that make our platform a one stop shop for a researcher's needs. We're looking for AI engineers who will champion this cause and help us apply AI to transform the way biomedical professionals carry out their research and day to day exploration. What you'll be doing Design and implement ML/AI solutions end to end, from the idea and data exploration phase to deployment and monitoring, balancing cutting edge techniques with pragmatism to deliver measurable impact. Apply strong software engineering principles, such as modularity, testing, code reviews, CI/CD and observability, to ensure AI systems are reliable, maintainable, production ready and can be readily adapted to future developments. Choose the right approach for the problem at hand, evaluating classical ML and NLP techniques, LLM based solutions, and agentic solutions to balance trade offs between speed, cost, complexity, interpretability, and performance. Collaborate closely with product, design, and other engineering teams to scope work, align on success metrics, and incrementally ship improvements in user facing features powered by AI. Document system architectures and decision rationale early and clearly, enabling alignment across teams and accelerating onboarding and iteration. Champion model and data quality, including dataset versioning, robust evaluation, fairness/bias assessment, and real world performance tracking. Mentor junior AI engineers and cross functional teammates, sharing best practices in modelling, coding, maintaining and integrating product features, and helping grow a high trust, high performance team culture. Stay up to date with emerging research and tools, distilling key insights and bringing back relevant innovations to elevate team capabilities and product opportunities. Contribute to a culture of knowledge sharing, through company wide Slack channels, Show and Tell presentations and technical deep dives. What experience you'll need to be successful A master's degree or above in Computer Science, Electrical Engineering or a related field. 5+ years of experience building AI/ML systems in production environments, including ownership of key lifecycle stages: data collection, modeling, evaluation, deployment, and monitoring. Proficiency in Python and modern ML and agentic frameworks such as PyTorch, TensorFlow, or LangChain, with experience packaging models into APIs or integrating them into applications. A solid understanding of LLMs for natural language processing applications, including topics such as embeddings, prompt engineering and fine tuning. Strong software engineering foundations such as version control, unit/integration testing, CI/CD, containerization plus a mindset of building for reliability and scale. Experience working in product focused teams, collaborating with designers, engineers, and PMs, to scope and ship AI features iteratively. Ability to reason about system behavior end to end, including model performance, latency, and observability, and how these impact user experience. Clear, structured communicator, comfortable documenting and defending architectural decisions and engaging in thoughtful technical debate. Not required, but it's a plus if you also have: Experience with MLOps/LLMOps frameworks and best practices A PhD in Computer Science, Electrical Engineering or a related field. A background or work experience in life sciences, health tech, or other data intensive domains Benefits Competitive compensation package Private medical & dental insurance Life insurance (4 x salary) Personal development budget Individual wellbeing budget 25 days holiday plus bank holidays Your birthday off! Potential to have real impact and accelerated career growth as a member of an international team that's building a transformative AI product. We are on a mission to accelerate scientific breakthroughs for ALL humankind, and we are proud to be an equal opportunity employer. We welcome applications from all backgrounds and fairly consider qualified candidates without regard to race, ethnic or national origin, gender, gender identity or expression, sexual orientation, disability, neurodiversity, genetics, age, religion or belief, marital/civil partnership status, domestic / family status, veteran status or any other difference.

About the role As a Senior Retail Product Designer at John Lewis Partnership, you will lead the design of retail product areas, guiding the future vision and delivering incremental steps to shape the customer experience. You will manage the entire product design lifecycle, from discovery and user journey mapping through to final UI design, in a cross functional team that includes Product Owners, Engineers, Data Scientists and User Researchers. Salary £52,000 - £80,000 Contract type Permanent role Working pattern Hybrid: 2-3 days in person, remainder remote, with flexible arrangements where possible Location Bracknell Key responsibilities Lead design for retail product areas, ensuring alignment with the overall Waitrose experience. Drive the future vision, delivering on incremental steps to guide the team. Produce all design artefacts, from discovery and user journey mapping to final UI details. Conduct and champion user research, including participation in sessions, analysis of insights and lightweight studies. Collaborate with Product Owners, Engineers, Data Scientists and User Researchers, maintaining strong communication, documentation and facilitation throughout the design process. Deliver intuitive, polished and accessible user experiences, balancing ideal solutions with technical constraints, experimentation strategy and business risk. Essential skills and experience Experience as part of a product team in an agile environment. Hands on experience throughout the product design lifecycle - discovery to final UI. Portfolio showcasing relevant design work. Agile sprint experience with familiar backlogs and feature sets. High level understanding of product strategy and clear articulation of design decisions. Awareness of technical implications of design choices. Strong passion for problem solving and UX design. Excellent communication skills and people focused design mentality, capable of setting up frameworks and brainstorming concepts. Desirable skills and experience Retail e commerce experience within a large organisation. Proficiency in modern design tools such as Figma. Front end programming and ability to build simple prototypes. Experience in designing and maintaining cross platform design systems. Experience conducting user research. Important points to note Some roles are subject to pre employment vetting, which may include DBS checks and financial probity checks. If required, you will be informed during the recruitment process. We encourage prompt completion of any vetting to avoid delays. Vacancies may close early if a high volume of applications is received; early application is recommended. If you require a reasonable adjustment due to a disability that may extend the application process, please contact us as soon as possible. We support flexible working arrangements, including compressed hours, job sharing or shorter hour contracts where possible. Discuss options with the hiring manager during your interview.

BioTalent Ltd. in Oxford seeks a (Senior) Computational Biologist to design and develop novel algorithms for microbial sequencing data and to contribute to next-generation diagnostic solutions. You will work at the intersection of genomics, AI/ML, and scalable cloud infrastructure, collaborating with computational scientists, engineers, and experimental teams. The role offers sponsorship and relocation to Oxford, a highly interdisciplinary, innovation-led environment with impact in clinical and

Checkout Ltd is seeking a Senior Data Analytics Manager to lead data analytics delivery for their payment performance products. The candidate will own the analytics strategy, focusing on developing insights and data products while managing a high-performing team of Product Data Scientists and Analytics Engineers. The role requires multi-year experience in data science leadership, strong skills in SQL and Python, and a robust understanding of product measurement and data architecture. Join Checkout Ltd and contribute to their success in the payment industry.

iGii has an exciting opportunity for a Senior Development Scientist with deep expertise in electrochemical environmental and heavy metal sensing to join our rapidly expanding R&D department. This role offers the chance to work in a high growth environment with a fast paced, collaborative culture where you will collaborate with customers conducting cutting edge research. In this role, the Senior Development Scientist will own defined technical work packages and sensor development streams, from feasibility and proof of concept through to validation, scale up readiness and transfer into product development. The successful candidate will set experimental strategy, make evidence based technical decisions and influence project direction, timelines and priorities in alignment with the company's innovation roadmap and commercial goals. Key Responsibilities Collaborate and innovate with colleagues in R&D and Engineering on the development of products and processes for several applications, focusing on real world viable solutions using established industry methods and materials. Define sensor performance requirements and acceptance criteria in collaboration with engineering, product, quality and commercial stakeholders, ensuring laboratory development is aligned with product needs and customer use cases. Develop novel methodologies and process optimisation routes relevant to environmental and heavy metal sensing. Performance assessment and benchmarking against SPEs and Au electrodes. Design and execute verification and validation experiments to assess sensor robustness, manufacturability, stability, reproducibility and suitability for field relevant environmental applications. Preparation and optimisation of buffer solutions suitable for environmental and heavy metal sensing. Run accumulation and stripping experiments using appropriate electrochemical techniques with optimised parameters. Detect environmental and heavy metal ions using Gii electrodes from ppm to ppb range. Evaluate matrix effects, interference from competing ions and other environmental variables, and develop mitigation strategies to improve selectivity and reliability in real world samples. Maintain rigorous experiment and data management practices to ensure credible, defensible results that drive product development from concept to scale up. Prepare high quality technical documentation including standard operating procedures and reports. Stay up to date with current trends in environmental and heavy metal sensing through routine literature review. Provide technical leadership by coaching junior colleagues, reviewing data quality, setting best practice in electrochemical testing and presenting clear recommendations to project leads and senior stakeholders. Qualifications Advanced education (PhD or specialist Master's) or relevant industry experience plus core knowledge of electrochemistry principles. Proven hands on experience with electrochemical environmental and heavy metal detection. Significant experience contributing to R&D projects involving: Application and evaluation of electrochemical techniques within a sensor development environment using low concentration analytes. Developing sensors/nanotechnology for environmental and heavy metal detection. Innovation and problem solving in experimental design and execution. Development of electrochemical sensing technologies from early feasibility through to robust, reproducible performance in real world environmental conditions. Knowledge of voltametric techniques such as ASV, SWV, DPV, CV, LSV. Experience defining and assessing analytical performance criteria including limit of detection, limit of quantification, sensitivity, selectivity, linear range, calibration strategy, repeatability, reproducibility, stability, interference effects and matrix effects. Track record of translating research into commercially viable products or solutions and delivering projects that meet commercial and regulatory requirements. Experience translating design inputs, performance requirements and acceptance criteria into practical experimental plans that support product verification, validation and commercialisation. Strong ability to design, execute and interpret complex experiments with a rigorous and methodical approach. Strong capability in design of experiments, statistical analysis, quantitative data interpretation, uncertainty assessment and clear traceability of experimental decisions. Solid understanding of GLP and standard laboratory techniques and practices, and experience working within a regulatory environment. Experience working within a quality managed environment such as ISO 9001 or equivalent, including robust documentation, change control, risk assessment, auditable laboratory records and health, safety and environmental compliance. Proven ability to work effectively in multidisciplinary teams and contribute to internal reviews or external collaboration, including product management, engineering, manufacturing/process development, quality, regulatory, commercial teams, customers and external partners. Demonstrated commitment to continuous learning, professional development and scientific curiosity. Desirable Experience Prior experience in electroplating or electrodeposition. Familiarity with scaling up processes from laboratory to pilot scale, including commercialisation support. Experience assessing sensor performance in complex real world matrices such as water, wastewater, soil extracts, industrial effluents or field relevant samples, including sample preparation or pre treatment. Experience benchmarking electrochemical sensor performance against reference analytical methods such as ICP MS, ICP OES or AAS. Awareness of IP generation and protection processes. Demonstrated ability to lead projects or mentor junior scientists in an industrial setting. Experience coaching junior scientists, reviewing experimental plans and data, setting laboratory best practice, contributing to capability-building and presenting technical recommendations to senior stakeholders. What We Offer Full time position with 37.5 hours per week onsite at our facility in Euro House, Stirling. Competitive salary and 33 days of annual leave (including statutory holidays). Private medical insurance. Group life insurance. Income protection. Access to mental wellbeing resources and support, including up to six coaching or counselling sessions per year. Training and development opportunities to help grow your career. Flexible working schedule around core hours (09:30 am - 04:00 pm) to support work life balance. Visa sponsorship and relocation package available where needed. Location Stirling, Scotland - a city with rich historical significance and easy access to Edinburgh, Glasgow and the Highlands via public transport. Equal Opportunities We welcome applicants from all backgrounds and communities. Visa sponsorship is available, and we can provide a relocation package where needed.

Lead Data and Analytics for Payment Performance We pride ourselves on being the best payment platform for achieving market leading acceptance rates through our Intelligent optimisation and fraud detection engine. As Senior Data Analytics Manager, you will own the data analytics delivery underpinning multiple products that define our competitive edge. You will provide direction for product success through insights, build data products that measure success and ROI for our payment performance engine. You will manage a team of Product Data Scientists and Analytics Engineers. How you'll make an impact Leadership: Own the data and analytics strategy for the product vertical, end-to-end delivery of insights and data products. Product Measurement & Insights: Working closely with pillar leaders you will set the bar for how data is used in product decision making and measuring the ROI of the payment performance product suite. Data Architecture: Gatekeeper for designing the right data architecture to create clean, cost efficient and reliable data pipelines that deliver high data quality and rich data instrumentation. Team Development: Build and develop a high performing data science and analytics engineering team. What We're Looking For Demonstrable multi year experience in leading data science, product analytics and/or data engineering teams. Proven track record in implementing measurement systems for product and system development, applying experimentation, causal inference and so forth. Experience in collaborating cross functionally with all levels of stakeholders, setting roadmaps, owning prioritization, and scoping for delivery. AI forward mindset and fluency in applying Gen AI in both delivery productivity as well as delivering data and analytics products. Demonstrable track record in managing and developing product data scientists and data engineers. Core analytics skills: data interrogation skills with SQL/Python, data modelling/engineering, applied statistics (e.g., hypothesis testing, regression, predictive modelling). Ideally, having worked with acceptance, fraud and cost optimisation within the context of payments or financial technology services. Robust understanding of how products should be instrumented, with the ability to optimise for rigor while considering cost and quality.

About Meridial Meridial is a Focused Research Organisation (FRO) with a mission to bring connectomics into the living brain. We are building a platform for longitudinal, synapse-resolution mapping of functional neural circuitry in preclinical models. Our aim is to deploy this platform for translational projects and improve drug development outcomes for disorders of the Central Nervous System. Meridial is a new not-for-profit FRO in the Convergent Research Ecosystem, powered by the Advanced Research and Invention Agency (ARIA). About the role Meridial is seeking an entrepreneurial Software Engineer to take ownership of the software systems at the heart of our multi-photon microscopy platform. This is a broad hands on role spanning hardware control, data acquisition, user interfaces, and analysis pipelines. You will work at the intersection of software and science, collaborating closely with FPGA engineers, experimental neuroscientists, and a growing data team. The near-term priority is maintaining, debugging, and extending our existing MATLAB-based microscope control software. Immediate goals include adding new experimental functionality, improving data handling, and developing real time analysis modules. You will need to learn the workings of a legacy system quickly, including by working with external contractors, and deploy solutions with an eye toward future fundamental improvements. Longer term, you will help define and drive the architectural evolution of the software stack, potentially including migration from MATLAB toward open source systems. As the company grows, there will also be opportunities to contribute to data architecture, offline scientific analysis pipelines, and web portals. This role will report to the Director of Engineering and work closely with experimentalists, with clear scope to grow into technical leadership of the software function. Key Responsibilities Own and evolve the microscope software stack, from low-level hardware control to user interfaces and real-time analysis layers Maintain, debug, and extend the existing MATLAB codebase as the near-term priority, keeping experimental workflows unblocked Develop and maintain new interfaces for data acquisition, instrument control, and synchronisation across complex instrument subsystems Collaborate with FPGA engineering to define and implement software control and acquisition architectures Work across software and mechatronics boundaries - stages, robotic platforms, motion control, inverse kinematics, and collision avoidance Build and evolve real-time and offline image analysis pipelines supporting the full experimental workflow Work with the team to translate scientific requirements into robust software systems Contribute to longer-term architectural evolution - modularising the stack, defining APIs, and evaluating migration pathways toward more scalable and maintainable systems Required Qualifications Strong background in software engineering for hardware-integrated or instrumentation systems Experience with Python for data analysis and pipeline development Experience designing modular software architectures: layered systems, clean APIs, separation of concerns Experience interfacing software with hardware: data acquisition, control systems, synchronisation Ability to work across abstraction layers, from low-level control to higher-level application logic Strong debugging and problem-solving skills across software, hardware, and system-level interactions Preferred Qualifications Degree in Computer Science, Software Engineering or related field Genuine scientific curiosity - an interest in neuroscience, imaging, or the underlying biology is a real advantage Experience with scientific instrumentation, microscopy, or imaging systems Proficiency in systems level programming - Rust, C, or C++ - with a focus on performance, reliability, and maintainability Exposure to large-scale or longitudinal data processing (e.g. volumetric or time-series datasets) Experience refactoring or migrating software into modern architectures Familiarity with motion control, robotics, or kinematic systems Experience working with or alongside FPGA-based systems Physical Demands Fine motor skills for operating computers and lab/instrumentation tools Position Type / Schedule Full-time, 40 hours/week Lab location based in London or Cambridge - ability to travel to both preferred Work arrangement: Hybrid with expected regular onsite presence Additional Information Application materials: CV/resume + cover letter + 2 references For exceptional candidates, we will consider sponsoring visas and supporting relocation Compensation: competitive salary commensurate with experience Generous Benefits will be communicated in interviews £85,000 - £100,000 a year We are an Equal Employment Opportunity employer and do not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other characteristic protected by applicable law or company policy. We strive for a diverse, healthy and safe workplace and strictly prohibit harassment of any kind.

We have a (Senior) Computational Biologist within a mission-driven, research and technology organisation focused on translating advanced genomic science into real-world diagnostic and public health applications. As a Scientist or Senior Scientist in Computational Genomics, you will design and develop novel algorithms and analytical methods for microbial sequencing data, contributing directly to the development of next-generation diagnostic solutions. Please note, this role is based in Oxford, UK and the company will sponsor & relocate. This Will Offer You The opportunity to develop novel computational methods with real clinical and public health impact A role at the intersection of genomics, AI/ML, and scalable cloud infrastructure Close collaboration with computational scientists, engineers, and experimental teams Ownership of method development from research through to product integration A highly interdisciplinary, innovation-led environment Your Responsibilities Design and evaluate new computational approaches for genome assembly, binning, and functional characterisation from metagenomic sequencing data Apply advanced statistical and AI/ML techniques to large-scale microbial datasets Implement methods into scalable, reproducible, and modular workflows in collaboration with engineering teams Benchmark approaches using public and internal datasets and support experimental validation Contribute to technical discussions across computational, software, and wet-lab teams Communicate complex concepts clearly to interdisciplinary stakeholders You Will Bring PhD (or equivalent experience) in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field Experience developing computational methods for next-generation sequencing data (postdoctoral or industry experience for Senior level) Strong grounding in algorithms, data structures, and statistical modelling relevant to genomics Experience applying machine learning to biological or sequencing data Proficiency in programming (e.g. Python, C/C++, Rust) and modern software development practices A rigorous, detail-oriented mindset with commitment to reproducibility and benchmarking Desirable: Experience with microbial genomics, long-read sequencing, workflow management systems, cloud environments, or open-source bioinformatics contributions.

Head of Data Science & AI Hybrid in London, United Kingdom We're looking for a Head of Data Science & AI You'll lead iwoca's data science function - a group building probabilistic and statistical models that make real time lending decisions. You'll also be a key part of how iwoca embeds AI across the wider business: setting the pace yourself, and raising capability beyond your direct team. The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team iwoca's data scientists build probabilistic and statistical models that make lending decisions in real time, support forecasting, and shape commercial strategy. Their work is deployed in production code and has direct commercial consequences - it's more than exploratory analysis. The function is now embedding AI into how that work gets done. Successfully leading it will require close collaboration with engineering, product, and commercial teams. The role As Head of Data Science & AI, you'll shape how a technically sophisticated team works - and influence how the wider business adopts AI. Doing that well requires a deep understanding of the modelling work: where AI genuinely changes the work, where it speeds things up, and where a different approach is better. You'll judge what's actually possible with these tools - and challenge the assumptions when the rationale isn't clear. iwoca's data scientists build probabilistic ML models on credit and commercial data, deployed in production, making real time lending decisions across lending, product, operations, and strategy. The group has approximately 25 data scientists, split across a central team and smaller groups aligned to specific products or domains. You'll report to one of iwoca's co founders, who is also a data scientist. AI enablement and adoption You'll set the standard for how AI is used across the group - establishing practices that make adoption safe and repeatable, and creating the conditions for a technically sophisticated group to advance together. Strategic direction You'll influence where the group invests its resources - deciding what to model, where AI accelerates the work, and where a lighter approach is more effective. You'll shape commercial and product decisions by making analytical trade offs legible to senior stakeholders, and work with team leads to plan and prioritise across multiple streams. People and team You'll develop the people around you - raising capability across the group through clear standards, direct coaching, and a genuine investment in how data scientists grow. You'll spot where the gaps are and help close them. You'll also own hiring, shaping how the group assesses and develops talent as it grows. Commercial opportunity and coordination You'll spot commercial opportunities across the business - where modelling or AI can change outcomes - and work with Engineering, Product, and Operations teams to act on them. You'll represent the group in discussions that shape lending, risk, and product decisions, explaining assumptions, highlighting risks, and helping senior stakeholders act on analytical insight. The requirements Essential You have high AI agency: You actively experiment with AI in your analytical and technical workflows. You use tools like Claude Code, Codex, or similar to build, automate, and accelerate substantive work. You have a clear view on how AI changes what a data science team does and a track record of raising capability across the people around you, not just your own output. Transformation track record: You have led a meaningful shift in how an analytical or data science team works. You are comfortable navigating resistance, building adoption across different types of people, and making change persist beyond your direct involvement. Technical background: You have a background in probability, statistics, or a related quantitative field, with hands on experience building and overseeing probabilistic ML models on structured commercial or financial data. Production experience: You have managed the full lifecycle of models in production - deploying, monitoring, and retiring them. You are comfortable coordinating chains of model dependencies across different teams. Commercial acumen: You understand how modelling supports business decisions and know when to make trade offs between depth, delivery time, and value. Strategic leadership: You have experience setting data science strategy, aligning work with commercial goals, and translating technical modelling for senior stakeholders so they can act on it. People and team: You have experience managing a data science team, setting clear standards, and developing people - including having direct conversations about where the gap is and how to close it. Bonus Domain experience: You have worked in credit risk, lending, or customer lifetime value modelling. Function scale: You have led a data science team of 20 or more people across multiple teams. R & D and forecasting: You have experience shaping a modelling agenda, including probabilistic or long term forecasting work. Industry profile: You have represented a data science team externally - industry events, publications, or advisory roles. The salary We expect to pay from £120,000 to £170,000 for this role. But, we're open minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective. We're a tech company and believe in the power of AI to help us work faster and better. We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data. We will help our people to learn how to use and grow with the new tools available to them. The offices We put a lot of effort into making iwoca a great place to work: Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. Events and community led groups, including running groups, padel, and monthly ping pong and pool competitions. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year: we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse.