355 jobs found

White Collar Factory (95009), United Kingdom, London, London Lead Data Scientist / Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will focus on leading the development of proprietary deep learning models in order to enhance our existing underwriting capabilities. By utilizing a mix of new and existing data, you will identify ways to improve predictive power and generate high-impact customer insights. What you'll do Lead the development of next generation deep learning approaches to advance our current underwriting models, to ensure that our core lending capabilities remain at the forefront of the industry. Unlock the value in non-traditional datasets by building sophisticated neural networks (e.g. LSTMs, RNNs, or Transformers). You will find novel ways to transform raw, multi-modal inputs into powerful predictive features. Collaborate with business stakeholders to prioritize initiatives. You will bridge the gap between ambitious R&D and tangible in-market results, driving ideas from initial prototypes through to production. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. What we're looking for Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series or language models). A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team. Experience producing and managing reliable and maintainable code in SQL/Python in a team setting, including code reviews and setting software engineering best practices Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers, including training deep learning models on GPUs or GPU clusters. Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value Where and how you'll work This is a permanent position based in our Nottingham or London office. We have a hybrid working model, so you'll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Senior Data Product Manager About this role Year after year we've been recognised as a great place to work. In 2025, Capital One was ranked 15th in the UK's Best Workplaces list. At Capital One, we believe great products begin with a deep understanding of our customers. From our earliest days, we pioneered the use of predictive modeling to individually personalise credit card offers, turning the entire industry on its head. Our heritage of data driven decisions, combined with human centred approach, enables us to continue to design and build truly innovative financial experiences for our customers. We're using this approach to build our next generation data platform, leveraging modern technology to deliver transformative experiences to our customers. We're seeking a Senior Data Product Manager, who will be pivotal in the delivery of value and fostering collaboration. As a senior member of our Digital Product team, you will play a strategic role in defining where we invest in our data products and platforms, working with stakeholders across Engineering, Business Analysis, Data Science, Data Analytics and Data Governance. What you'll do Autonomously lead the discovery, definition and delivery of new data products and platform features that deliver our key business outcomes across data, modelling, reporting and analytical capabilities Manage existing data products to drive business performance across the value chain, including growth, underwriting, marketing and customer servicing. Collaborate with data producers and consumers (Data Scientists, Analysts & Engineers) to define Product capability needs and prioritise delivery of those that add most value Collaborate with your product team, engineering, delivery leads, consulting groups (Architecture, Cyber & Data Risk) and the US Enterprise to ensure those capabilities make it into the hands of our users Be an advocate for data governance, ensuring that everything we build meets our high standards whilst providing a frictionless user experience Integrate business analytics in every aspect of design and development, and define metrics to measure the success of products Maintain a rigorously human-centred approach, obsessing about internal and external customer needs to reimagine customer interactions What you'll bring Proven experience identifying business opportunities and translating them into Data, Machine Learning and AI products in the technology or digital arenas. A track record of thought leadership and delivery across complex products or platform capabilities Ability to influence and inspire senior stakeholders through strong commercial thinking & engaging communication Proven ability to leverage data and insight to define product strategy and customer experience Passionate about collaborating with technically minded data users and engineers, but you can also translate for non-technical stakeholders Excellent communication skills, able to engage, influence and inspire Deep understanding of data applications An understanding of UK regulatory landscapes and consumer lending would be desirable Where and how you'll work This is a permanent position based in our Nottingham or London offices. If you're based in the London office, there will be frequent travel to Nottingham. We have a hybrid working model which gives you flexibility to work from our offices and from home. We're big on collaboration and connection, so you'll be based in one of our offices 3 days a week on Tuesdays, Wednesdays and Thursdays. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for fem

A healthcare technology company is seeking an AI Scientist / Machine Learning Engineer to develop algorithms for physiological monitoring systems. The role involves designing machine learning models in collaboration with biostatisticians and engineers to analyze sensor data. Candidates should have a Master's or Ph.D. in a related field and extensive experience in developing machine learning systems. A minimum of 5 years of experience is required, along with proficiency in Python and relevant frameworks.

Tullow is an independent energy company dedicated to building a better future through responsible oil and gas development in Africa, with producing assets in Ghana. We are committed to achieving Net Zero on our Scope 1 and 2 greenhouse gas emissions by 2030. Our Shared Prosperity strategy ensures we deliver lasting socio-economic benefits to host nations by investing in local skills development, community partnerships and sustainable infrastructure. At Tullow, our people are our greatest asset. We foster a value-led culture underpinned by Aim High, Own It and Be True, where continuous improvement, collaboration and inclusion are at the heart of everything we do. The Opportunity Tullow is offering an exciting opportunity within the Jubilee Field Developments team. We are looking for a dynamic Lead Development Geologist to join us on a Permanent (hybrid) basis, located at our office in Chiswick, UK. Job Purpose This role will provide geological support within the Jubilee subsurface development team, to include geomodelling, infill well planning, support to well operations, geoscience data evaluation and integration, in support of development activities on the Jubilee deepwater oil field. The position requires close collaboration with subsurface, drilling, and operations teams, as well as engagement with joint venture partners. Key Roles and Responsibilities Develop, update and maintain 3D geological and reservoir models. Integrate seismic (including seismic attributes), well log, core, and production data to refine reservoir understanding. Quantify uncertainties and support scenario-based modelling for field development and infill well planning. Collaborate with reservoir engineers to ensure models are fit-for-purpose for simulation. In collaboration with team geoscientists and reservoir engineers, support and advise reservoir static model updates for history matching. Infill Well Planning & Operations Identify and mature infill drilling opportunities to maximize recovery. Perform reservoir mapping, volumetrics, and risk assessments for proposed well locations. Recommend optimal well trajectories and targets in collaboration with drilling and subsurface teams. Support economic evaluations and reserves booking processes. Provide geological input into well design, planning, and execution for deepwater operations. Support real-time drilling activities, including geosteering and formation evaluation using LWD/MWD data. Collaboration & Stakeholder Engagement Prepare and present high-quality technical materials for partner meetings and assurance reviews. Interface with host government and regulatory bodies where required. Drive collaboration across geoscience, reservoir engineering, drilling, and operations teams. Experience & Education Degree in Geology or Geophysics. Masters level or greater preferred. Skills Strong expertise in deepwater depositional systems and reservoir geology. Strong understanding of the impact of geology, and petrophysics, on reservoir dynamic behaviour in producing oil fields. Experience in the application of workflows and model updates for history matching on late life producing assets. Proven experience in infill well planning and reservoir optimization. Solid understanding of drilling operations, well planning, and geosteering workflows. Ability to integrate multidisciplinary datasets into coherent geological interpretations. Strong analytical, problem-solving, and decision-making skills. Effective communication skills, with the ability to influence technical and non-technical stakeholders. Experience working in cross-functional, multicultural teams. What we Offer Tullow offer a competitive reward package of base salary, incentives and benefits which is designed to attract, retain, and motivate the best talent. Flexible hours to help you balance work and life commitments. A performance-driven culture that rewards results and innovation. A strong commitment to your development , including tailored learning programmes and mentoring. The opportunity to make a real impact , working alongside dedicated experts across functions. A genuinely inclusive and diverse environment where every voice is valued. Competitive remuneration , performance-linked incentives and comprehensive benefits. We believe in building long-term, mutually beneficial relationships with our people. Tullow offer an opportunity to broaden your horizons, grow your network and have the support you need to thrive.

Interested in training and evaluating large-scale LLMs (>200B) in a frontier research team focused on AI impact in high-stakes domains? Thomson Reuters Foundational Research gives you the opportunity to research & publish on a wide range of topics in AI research while gaining experience working at in a data- & compute-rich environment focused on solving real world economically impactful problems. You will join a collaborative team that values intellectual curiosity, innovative thinking, and combines the strengths of industrial resources with an academic mindset focused on advancing science. About the Role We are seeking PhD Research Scientist Interns with flexible starting dates throughout the year in our London, Toronto & Zug locations. During your internship, you will focus on publishing high-quality research in top venues for Machine Learning & NLP while advancing our internal model development. We also value our deep academic connections, are open to involving academic advisors & collaborators. Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation of research capabilities across different areas and are looking for interns who participate in designing, coding, conducting experiments, translating findings into concrete deliverables and engaging with the academic community. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Algorithms & Infrastructure, Alignment, Distributed Training, ) Post training techniques for planning & reasoning (e.g. Agentic pipelines & tool use, LLMs & Knowledge Graphs, Self reflection & critique, CoT & Reasoning, RAG, ) Data centric Machine Learning (Synthetic & Hybrid Data generation, Curriculum Learning, learned data mixtures, ) Evaluation (Benchmark design, Red teaming/Adversarial Testing, Hallucination detection & Factuality, Human in the loop testing, ) We work collaboratively with academic partners at world leading research institutions (such as our joint academic lab with Imperial College London) and subject matter experts with decades of experience. We experiment, prototype, test, and deliver ideas in the pursuit of smarter and more valuable models trained on an unprecedented wealth of data and powered by state of the art technical infrastructure. Through our unique institutional experience, we have access to an unprecedented number of subject matter experts involved in data collection, testing, and evaluation of trained models. As a Research Scientist Intern, you will work alongside and learn from a diverse global team of experts. We hire world leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development. Thomson Reuters is known for consistently delivering successful data driven ML solutions in pursuit of academic excellence and support of high growth products that serve Thomson Reuters customers in new and exciting ways. The internship duration at Thomson Reuters Labs is typically 4 to 6 months and may be aligned with one or two academic semesters or depending upon your availability. Responsibilities Innovate: You will have the opportunity to innovate and create new state of the art ML/NLP/IR/GenAI approaches at the cutting edge of AI research. You will work closely with a Research Scientist to contribute ideas and work on solving real world challenges using a wealth of data. Experiment and Develop: You are involved in the entire research & model development lifecycle, brainstorming, coding, testing, and delivering high quality reports at leading international academic conferences. Collaborate: Working on a collaborative global team of researchers & engineers both within Thomson Reuters and our academic partners at world leading universities. Communicate: Actively engage in sharing our technical findings with the wider community through contributions to seminars, lectures, conferences and/or the sharing of publications and/or technical assets (data & models). About You You're a fit for the role if your background includes: PhD student or recent graduate with research experience in a relevant discipline. Publications in top tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR). Familiarity with a deep learning framework (e.g. PyTorch, JAX, TensorFlow, ) Excellent communication skills to report and present research findings and developments clearly, both orally and in writing. Curious and innovative disposition capable of devising novel, well founded algorithmic solutions to relevant problems. Preferred Qualifications Experience working on at least one relevant state of the art research topic (see our focus areas) in large language models (LLMs). Influential first author publications top tier venues. Impactful open source contributions. Strong software and/or infrastructure engineering skills with supporting evidence. Experience training large scale models over distributed nodes with cloud tools such as Amazon AWS, MS Azure, or Google Cloud. Benefits Learning and development: On the job coaching, mentorship and learning from a world leading researcher as well as the opportunity to work with cutting edge methods and technologies. Plenty of data, compute, and high impact problems: Our interns get to explore large datasets and discover new capabilities and insights. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & accounting professionals. We have over 60,000 TB of legal, regulatory, news, and tax data. We also provide access to all major cloud computing platforms to our researchers and engineers. Competitive compensation: The opportunity to earn while learning new skills. Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real world solutions. Our Grow My Way programming and skills first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award winning reputation for inclusion and belonging, flexibility, work life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. Equal Employment Opportunity As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented . click apply for full job details

Job Overview An enthusiastic team player with excellent communication skills. Ability and willingness to learn new skills and techniques. Application of knowledge to solve complex problems. Demonstrate high levels of motivation and the organizational planning tools to manage workload across multiple projects. Be commercially aware of business development needs. Knowledgeable of the pharmaceutical development continuum of APIs. Knowledge of polymorphism, salt/co-crystal screening, and peptide crystallization screening (essential). Ability to discuss complex technical data clearly and succinctly (essential). Ability to work safely in a lab environment, adhering to local SHE policies (essential). Experience of working independently and within a team in an R&D environment, within ISO9001 and/or cGMP quality standards (essential). Responsibilities Experience of working with small molecules and/or large molecules (peptide fragments, cyclic and linear peptides) and other complex modalities (essential). Practical experience in a laboratory setting using wet chemistry techniques (essential). Experience/knowledge of solid-state analytical techniques (e.g., XRPD, DSC, TGA/DSC, microscopy, DVS, single crystal X-ray diffraction) and more general spectroscopic (e.g., NMR, FT-IR, Raman) (essential). Experience using automated screening platforms (desirable). Experience in working independently and within a team in an R&D environment. Experience with working safely in a lab environment and adhering to local SHE policies. Able to participate in client meetings and discuss technical data clearly and succinctly. Success Factors Possess excellent oral and written communication skills. Be well organised and able to manage high workloads. Able to meet deadlines and plan one's own work effectively. Possess excellent problem-solving skills. Be commercially aware of business development needs. Knowledgeable of the pharmaceutical development continuum of APIs. Qualifications / Skills BSc (Hons), Masters in chemistry, PhD in chemistry, chemical engineering or related discipline (essential). 2+ years industrial experience in a pharmaceutical company / contract research organization. Education, Experience & Licensing Requirements Cambrex Edinburgh is unable to offer visa sponsorship for this job role, applicants must be able to provide proof of their right to work in the UK. Cambrex is an Equal Opportunity / Affidatively Action employer and will consider all qualified applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

A leading global information provider is looking for a Research Scientist Intern to innovate in AI research, focusing on large language models and their applications. The intern will work collaboratively in a data-rich environment to publish research findings and contribute to model development. Candidates should have a relevant PhD background, publications in top-tier venues, and familiarity with deep learning frameworks. A competitive compensation and hybrid work model are offered.

Arcinova, A Quotient Sciences Company Arcinova provides innovative contract research, development, and manufacturing services. We offer a comprehensive range of integrated specialist services for early stage drug development, underpinned by strong industry knowledge and scientific expertise. Our mission is to bring science, innovation, and collaboration together to overcome the barriers in drug development. We empower emerging biotechs and large pharma alike to bring life changing therapies to patients faster, through an efficient, effective approach focused on quality, science, and innovation. Our vision is to advance progress through science, delivering solutions that make a measurable difference. We look ahead with purpose, driven to shape a smarter, more resilient future for all. The Role We are looking for an Analytical Scientist to join our team in Alnwick on a permanent basis. In this role, you will develop, validate, and apply analytical methodologies within a regulated environment, ensuring full compliance with GLP/GMP guidelines. You will also provide expert advice and problem solving for specialized analytical techniques. Main tasks and responsibilities Analysis of drug substances, raw materials, intermediates and drug products using a variety of analytical techniques. Develop, validate and report analytical methodology and, where appropriate, provide resolution to technical problems. Apply analytical methodologies during the quality control and stability evaluation of a range of materials. Prepare work protocols for approval, critically assess data generated and review data from peers. Prepare and review reports, quality documents and training documentation. Acquire/record data in a manner that complies with GxP and internal policies/procedures. Perform assigned roles within Quality Control such as equipment responsible operator, training, equipment hardware and/or software validation and the ordering of consumable items. Work with due regard to health and safety of self and others. Work flexibly across the site to meet business needs - meaning adapting to changing priorities and tasks, not physical mobility or changes to working hours. We welcome different working needs and are happy to discuss any adjustments required. Qualifications and experience required BSc (Hons) or equivalent in a relevant scientific discipline. Experience in the application of analytical methodologies in a pharmaceutical environment is advantageous. Ability to communicate effectively in a way that supports collaboration. The ability to critically assess data and have a flexible approach to new work challenges. Competent in the use of Microsoft Office packages such as Word and Excel. Application Requirements When applying for a position with Quotient Sciences you must be aged 18 years or over and not have been debarred by the FDA. If you indicate you are under the age of 18 or have been debarred then your application will be automatically declined. Our Commitment to Diversity, Equity and Inclusion Quotient Sciences are advocates for positive change and conscious inclusion. We strive to create a diverse Quotient workforce and develop a workplace culture that provides a sense of acceptance for every person within our organization. As a global employer, we recognize the value in having an organization that is a true reflection and representation of our society today. Specifically we will not discriminate on the basis of race, color, creed, religion, gender, gender identity, pregnancy, marital status, partnership status, domestic violence victim status, sexual orientation, age, national origin, alienage or citizenship status, veteran or military status, disability, medical condition, genetic information, caregiver status, unemployment status or any other characteristic prohibited by federal, state and/or local laws. This applies to all aspects of employment, including hiring, promotion, demotion, compensation, training, working conditions, transfer, job assignments, benefits, layoff, and termination.

A leading contract research organization in the UK is seeking an experienced Analytical Scientist to join their team in Alnwick. The role involves developing and validating analytical methodologies in a regulated environment and requires effective communication and critical data assessment skills. The ideal candidate holds a BSc (Hons) in a relevant scientific discipline, with experience in a pharmaceutical setting being advantageous. Flexible working arrangements will be considered to meet diverse needs.

Please note this role is offered as an initial 6 month fixed term contract on a PAYE basis Lyst is a global fashion shopping platform founded in London in 2010 and catering to over 160M shoppers per year. We offer our customers the largest assortment of premium & luxury fashion products in one place, curating pieces from 27,000 of the world's leading brands and stores. In 2025, Lyst joined Zozo, operators of Zozotown, the leading fashion e commerce platform in Japan. This partnership marks a bold new era for Lyst, as we accelerate our vision and work together to transform the future of fashion shopping through AI and technology. At Lyst, we obsess over the customer, providing a search & discovery experience which offers inspiration, fulfilment, and personalisation. We believe that fashion is amazing but shopping for fashion often isn't, and use our technology, data and creativity to bring more joy, greater choice and fewer fails. Our mission is to help fashion shoppers make better choices and help fashion partners find better audiences as the category leading destination for every fashion shopper. The Role We're looking for a technically strong Product Manager to lead our Affiliate Operations product team, and be the primary Lyst owner for our partnership with ZOZO's Data Science team in New Zealand. Lyst became part of the ZOZO group last year, and this role will work closely with ZOZO's R&D teams to turn research into productionised product data improvements. You will be accountable for the quality, reliability and discoverability of the world's largest product catalogue, powering discovery and commerce across Lyst. Crucially, you will also support Lyst's commercial initiatives from a TPM perspective - shaping the product and data work to accelerate product merging and enrichment. You'll be the lead Lyst contact for ZOZO's Data Science department and will run regular meetings, define joint milestones and translate data science research into Lyst production work. Together you'll accelerate product merging and enrichment while ensuring tooling is production ready. This role is highly cross functional and strategic. If you enjoy being technical, shipping data products, and managing a data science partnership to deliver measurable business outcomes, this is for you. What you'll own Affiliate Operations strategy & roadmap - Prioritise initiatives that raise data quality, completeness and coherence, and ensure delivery of outcomes that improve discovery and checkout metrics. Data foundations & pipelines - Working with engineering, to define product data models and taxonomies and own product data quality KPIs and remediation workflows. Ensure enrichment and merging flows are implemented and monitored. Partnership with ZOZO Data Science (NZ) - Be the primary Lyst lead managing the relationship with ZOZO's data science team: align roadmaps, define experiments, translate research into production requirements, agree on data contracts/security/IP terms, and run regular syncs and reviews. ZOZO collaboration is a core part of our product enrichment work. Operational ownership - Set and measure SLAs for data freshness, accuracy and output quality. Ensure handoffs and runbooks for the Affiliate Operations team are clear. Commercial & stakeholder management - Liaise with Partnerships and Commercial teams to align product data priorities to business objectives (e.g. ROAS bidding algorithms). People & process - Lead the Affiliate Operations product practice: improve team rituals, prioritisation and delivery cadence. Day to day responsibilities Create and maintain an outcome driven roadmap for Affiliate Operations and our commercial roadmap. Translate ZOZO data science outputs (enrichments/merges/flags) into production requirements, APIs and acceptance criteria. Run regular cross organisation planning with ZOZO and Affiliate Operations, including quarterly planning and technical workshops; manage time zone differences and ensure clear asynchronous handovers. Define and track OKRs tied to listings quality and commercial outcomes. Build the backlog and intake process for operational work, tooling requests and BAU. Communicate progress and trade offs clearly to senior stakeholders. Qualifications 3-6+ years product management experience, with a technical/data focus (hands on TPM or Senior TPM). Strong technical literacy: comfortable with APIs, data schemas, ETL/ingestion pipelines and product data modelling. Experience working with data scientists and engineering teams to productise models and features for production. Proven stakeholder management and delivery track record - you can run complex cross functional projects and manage external technical partners. Excellent written and verbal communication; experience coordinating across time zones and cultures. Agile delivery experience and a bias toward measurable outcomes. Nice to have Experience in ecommerce marketplaces or affiliate commerce. Exposure to machine learning/MLops or productionising ML models. Prior experience working with an external data science partner or international R&D partner. Familiarity with taxonomy design, entity resolution and image/data enrichment workstreams. Experience working with affiliate operations or merchant operations teams. Our Ways of Working Office Days: We all come into the office on Tuesdays and Thursdays, with the option to work remotely or come into the office on the other days. Time Off: In addition to the 8 statutory bank holidays, you will receive 29 holidays per year. Lyst's holiday year runs from 1 April to 31 March. Remote Working: Work from anywhere for up to 4 weeks per year. Competitive Family Leave Package: This includes Enhanced Family Leave for those eligible, paid Time off for Dependents and Support for Fertility Treatment & Loss. Clothing Benefit: We provide you with a clothing allowance to use on Lyst every year. This starts at £250 when you join and increases up to £1,000 with your length of service. Private Healthcare: Our healthcare provider is Vitality. Your health is important to us which is why we offer all employees a comprehensive healthcare scheme from the day you start. Training Allowance: All employees are entitled to an annual training allowance of £1,000 for conferences, industry events, training courses and to purchase resources. Pension Scheme: Our pension provider is The People's Pension. We offer a minimum employee contribution of 5% and 3% employer contribution. Eye Tests and Vouchers: Employees can make a saving on their eye test and glasses through our chosen provider. You'll receive a free eye test every year and a discount towards glasses. Cycle-to-Work Scheme: Lyst will purchase a bicycle from your chosen retailer, and you will receive a voucher to pick up your bicycle from them. Transport Season Ticket Loan: Employees can apply for an interest free season ticket loan to support your travel to work. Social Events: Frequent company wide social events including Christmas & summer parties, sports days, themed drinks, quizzes, cook alongs, as well as smaller team socials. We also have plenty of interest based groups such as football, running club, book club, culinary and more.

Posted Friday 19 September 2025 at 00:00 Great ideas come from different minds. That's why we bring together engineers, scientists, analysts, and creatives from every background - and give them the trust, tools, and freedom to make a difference. What connects us is the mission: solving meaningful problems and building capability that protects what matters most. And as the challenges evolve, so do we - working on the technologies that will shape tomorrow, not just today. Full Stack Software Engineer National Security Business Be part of a growing and highly trusted supplier into the NS domain working to deliver mission critical solutions helping to keep the nation safe, secure and prosperous. Working on leading edge technology solutions including AI/DS, Cyber, Cloud, DevOps/SRE, Platform Engineering. We have secured long term work, across the full spectrum, on the latest framework with the client, which provides the springboard for our ongoing growth and development in this domain, so join us on what will be an incredible growth journey. Role As a Full Stack Software Engineer, you'll enjoy delivering mission critical solutions to National Security customers. This isn't developing solutions that complete financial transactions faster; you'll develop cutting edge product that protects people, platforms, missions and information against constantly changing threats. You're a Full Stack Software Engineer that enjoys developing novel products; leading, innovating and inventing by bringing the physical and digital together. It'll involve consulting with customers, defining strategy and understanding how to apply emerging technologies. Roke is a leading technology & engineering company with clients spanning National Security, Defence and Intelligence. You will work alongside our customers to solve their complex and unique challenges. As a Full Stack Software Developer, you will be responsible for Writing clean, secure code following a test-driven approach Create code that is open by default and easy for others to reuse Effectively document all work using required standards, methods and tools, including prototyping tools where appropriate Work with well understood and emerging technologies and identify appropriate patterns Integrating API / UI components with existing data stores and APIs Maintain and develop existing architectural components including Data Ingest, Data Stores and REST APIs Participate in sprint ceremonies with the agile team, attending daily stand-ups, epic decomposition, demos and planning sessions. Assist the wider team to understand upcoming API features and their impact on Collaborate with user researchers and can represent users internally Explain the difference between user needs and the desires of the user Required skills Spring Boot React / VueJS / AngularJS Appropriate Testing Frameworks Technologically curious / Willing / Able to tactically upskill new technologies Built on over a 60 year heritage, Roke offers specialist knowledge in sensors, communications, cyber, and AI and ML. We change the way organisations think and act - through dynamic insights from the analysis of multiple layers of data. We take care of the innovative, technical stuff that keeps everyone safe - that's our mission, passion, and motivation. Where you'll work GLOUCESTER - Alongside hybrid and flexible working options, you'll find our Gloucester site in a business park two minutes from junction 11A of the M5; The site allows easy access to our local customer base. Set on the outskirts of the Cotswolds, you are never far from a picturesque view or lunch time walk. The Next Step Click apply, submitting an up-to-date CV. We look forward to hearing from you.

At Hometrack, we help the UK's leading lenders, brokers, and financial institutions make smarter decisions through property data and insights. At the heart of our evolution is Risk Hub. Currently hosting real-time property valuations and sophisticated analytical dashboards, Risk Hub is transitioning into a comprehensive, one-stop shop for all things property risk. We are looking for a Senior Product Owner to own the delivery and strategic development of this flagship platform. As the Senior Product Owner for Risk Hub, you will be the bridge between vision and execution. You'll work hand-in-hand with engineers and analysts to prioritise, scope, and deliver features that meet the complex needs of the mortgage and property risk ecosystem. This role requires a delicate balance of discovery (understanding the "why") and delivery (executing the "how"). You won't just be managing a backlog; you'll be ensuring rigorous testing and high-quality releases while deeply exploring the needs of lenders, brokers, estate agents, and investors alike. Key Responsibilities Backlog & Delivery Management: Own the end-to-end delivery backlog for Risk Hub. You'll translate customer needs into detailed, unambiguous user stories with clear acceptance criteria, managing tickets through to completion. A number of teams feed their requirements into Risk Hub, and it'll be up to you to prioritise, plan and communicate timelines internally Strategic Discovery: Balance rapid delivery with continuous discovery. You will engage with all market participants, from lenders to estate agents, to ensure Risk Hub provides holistic value. Cross-Functional Collaboration: Coordinate with software engineers, data engineers, and analysts to ensure goals are clear and milestones are met. Stakeholder Alignment: Work closely with commercial, product, and analytics teams to refine requirements, manage expectations, and provide transparent reporting on progress. Quality & Rigour: Champion best practices in digital delivery, ensuring every release is rigorously tested and balances accessibility, performance, and scalability. Strategic Input: Support the long term roadmap as Risk Hub scales into a unified interface for all property risk products. About You The Experience: Proven track record as a Product Owner, Delivery Lead, or Product Manager, ideally within Financial Services, Fintech, Proptech or Consultancy. The Mindset: You are delivery-focused and detail-oriented, with a knack for making releases smooth and predictable. Domain Interest: You have a genuine curiosity about the mortgage and property markets and want to understand the mechanics of risk. Technical Fluency: You are comfortable working alongside data scientists and engineers, able to speak their language while keeping the customer's needs front and center. Communication: You're a natural relationship-builder, capable of managing competing demands from high-level stakeholders while keeping the dev team focused. Qualities We Admire Curiosity: You don't just accept "how" things work; you want to know "why." You aren't afraid to challenge the status quo to find a better way. Adaptability: You can pivot quickly when priorities shift and think outside the box to solve blockers. Collaborative Spirit: You believe that the best products are built through partnership, not in a vacuum. Rigour: You have a high bar for quality and a commitment to rigorous testing and excellence.