Product research jobs in United Kingdom

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. We are the now and the next. The power behind the people building the future. We are born from the spirit of innovation. We are created from the idea that people around the world want more, need more, deserve more. We are the home of the global digital revolution. We are CNN. To see what it’s like to work at CNN, follow @WBDLife on and ! Your New Role… We’re seeking a Director of Digital Programming, Weekends to report into the VP of Programming and lead the editorial team responsible for curating and optimising the content experience across our core digital surfaces — web, mobile web, and mobile apps — for a 24/7 global news organisation. This role is at the intersection of journalism, audience behaviour, and product innovation. The ideal candidate brings sharp editorial judgment, strong people leadership, and a strategic mindset grounded in data. You ensure our digital front doors consistently reflect the urgency, depth, and breadth of our journalism — and that they serve the evolving needs of our audiences around the clock. The Weekend Director will play a critical role helping to develop and lead execution of the weekend homepage strategy. Please note: This role is based out of our London newsroom, working a 4-day, 40-hour week inclusive of Saturday and Sunday. Your Role Accountabilities… Lead a team of editors programming the organisation’s home and front-door digital experiences (web, mobile web, and app) Guide programming strategy across formats — including live video, text, audio, and visuals — ensuring each is optimised Exercise strong editorial judgment in real-time, particularly during high-pressure breaking news and questions of content hierarchy, timing and rotation Ensure content selection aligns with core editorial values while meeting the needs of users (Catch me up, Take me deeper, Entertain me) Frame stories with clarity, accuracy and impact, including writing or approving high-quality headlines, teases, and promotional language Demonstrate ability to make sophisticated editorial decisions and seamlessly curate across live, text, visual and video formats Monitor real-time analytics to inform programming decisions and adjust content placement dynamically, partnering with the Audience, Data, and Research teams to deepen understanding of audience segments and consumption habits Manage and mentor a distributed editorial team, providing direction, feedback, and growth opportunities Qualifications & Experience… Extensive experience in digital journalism, audience programming, or editorial operations within a fast-paced news or media environment Experience managing teams in a 24/7 publishing operation, ideally with global coordination Demonstrated ability to balance real-time editorial instincts with long-term strategic thinking Deep understanding of audience engagement, digital consumption behaviours, and cross-platform storytelling (text, video, audio) Experience working with product and design teams to enhance digital storytelling or homepage surfaces #CCE Hybrid Working - This role is advertised as a Hybrid work model, that combines remote and in-office work, following our current company policy and to be agreed with your Line Manager. Subject to any applicable laws, WBD / your Line Manager reserves the right to change this working agreement where this is essential to business needs and upon reasonable notice to you. How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at _ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our _ for instructions to submit your request.

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. We are the now and the next. The power behind the people building the future. We are born from the spirit of innovation. We are created from the idea that people around the world want more, need more, deserve more. We are the home of the global digital revolution. We are CNN. To see what it’s like to work at CNN, follow @WBDLife on and ! Your New Role… We are looking for the Advanced Analytics Lead who will be responsible for owning, developing and delivering advanced statistical and regression-based analytics that underpin a new measurement solution within the Audiences & Data portfolio. This role sits at the intersection of statistical modelling, insight generation and commercial application. The successful candidate will be the analytical authority on how perception, brand and influence data are modelled, interpreted and translated into robust, defensible insight for clients and internal stakeholders. This is a hands-on senior analytics role, requiring deep expertise in regression and multivariate modelling, alongside the ability to clearly explain methodology, guide junior analysts and ensure outputs are both statistically sound and commercially relevant. Your Role Accountabilities… Own the end‑to‑end analytical approach for a flagship perception and influence measurement solution, from model design through to delivery. Design, run and evolve regression, multivariate and factor‑based models to identify and quantify the drivers of perception and influence. Partner closely with commercial, insight and product teams to shape analytical approaches that address real business questions. Support sales and account teams by clearly articulating what the analytics can (and cannot) demonstrate. Provide technical leadership and mentoring to analysts working on perception and influence analytics. Raise overall analytical capability through coaching on statistical thinking, modelling techniques and interpretation. Contribute to hiring, onboarding and skills development within the analytics function as required. Qualifications & Experience… Strong experience in advanced analytics, statistical modelling or quantitative research roles. Deep, hands-on expertise in regression analysis and multivariate statistical techniques. Strong working knowledge of R and/or Python for statistical analysis. Experience working with survey, perception, attitudinal or brand-related data. Experience in media, marketing effectiveness, brand measurement or advertising analytics. Familiarity with index construction, weighting frameworks or composite metrics. Experience working with large, multi-market datasets. Exposure to experimental design or causal inference approaches. #CCE Hybrid Working - This role is advertised as a Hybrid work model, that combines remote and in-office work, following our current company policy and to be agreed with your Line Manager. Subject to any applicable laws, WBD / your Line Manager reserves the right to change this working agreement where this is essential to business needs and upon reasonable notice to you. How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at _ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our _ for instructions to submit your request.

We don’t just believe in better. We make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, Sky Stream to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Role overview The Manager of Product Management is responsible for leading the product management team in developing and executing a comprehensive product strategy that meets customer needs, drives revenue growth, and achieves organisational objectives. The Manager will be responsible for managing the entire product life cycle from strategic planning to tactical activities. This includes gathering and prioritising product requirements, defining the product vision, working closely with engineering teams to ensure successful execution of projects, and delivering high-quality products on time. The Manager will also be responsible for driving innovation through research and development initiatives as well as staying abreast of industry trends to identify opportunities for new products or services. What you’ll do Lead subscription & offer strategy — Develop and own the product strategy for subscription services and promotional offers within the commerce back‑end, ensuring alignment with broader business goals, user needs, market dynamics, and emerging technologies. Define data‑driven requirements — Use qualitative and quantitative insights to define requirements that meet industry best practices and deliver robust subscription and offer capabilities. Champion user‑centric design — Advocate for customer‑first experiences, ensuring subscription and offer journeys meet the expectations of both users and the business. Collaborate across functions — Work closely with business, product, engineering, research, and external partners; balance diverse inputs; and build a trusted network of cross‑functional collaborators. Execute and optimise the roadmap — Deliver a roadmap of high‑impact subscription and offer functionality, continuously optimise existing features based on feedback, performance metrics, and partner capabilities. Communicate vision and insights — Present strategy, KPIs, insights, and work progress to stakeholders at all levels, clearly articulating the value and direction of subscription and offer initiatives. Champion scalable best practices — Promote and evangelise best practices, contributing to the planning and development of scalable, extensible tools and resources that support subscription and offer operations. Enable operational excellence — Maintain product documentation and create training programmes that empower operations teams to manage in‑market subscriptions and offers effectively. What you’ll bring Develops a comprehensive product strategy that aligns with company goals and objectives; create road maps outlining short-term plans as well as long-term strategies. Leads cross-functional teams in designing, developing, testing, launching new products/services; manage all aspects of the process including market research and analysis, competitive intelligence gathering and analysis. Analyses customer feedback/data to identify areas where improvements can be made; develop actionable insights based on data analysis. Monitors performance metrics (e.g., sales figures) to assess success of existing products/services; make recommendations on how to improve them if needed. Establishes pricing models that maximise profits while remaining competitive in the marketplace. Collaborates with marketing team members to ensure effective promotion and positioning of products/services across channels. Stays up-to-date with industry trends and developments; identify opportunities for new products or services. Essential criteria: Experienced platform‑level product owner — Proven end‑to‑end ownership and delivery of platform products, with deep expertise in subscription models and promotional offers within a commerce domain. Roadmap leadership in streaming/media — Demonstrable experience strategising, testing, developing, delivering, and scaling products in streaming or media environments. Backend subscription & offer capability development — Strong track record developing backend capabilities for subscriptions/promotional offers, grounded in technical understanding and partnership with engineering leaders. Expert digital product development — Relentlessly high standards with deep operational knowledge of tools, technologies, best practices, and experience‑based methods across the full digital product lifecycle. Strong analytical & technical acumen — Fluency in defining customer problems, forming hypotheses, prioritising backlogs, understanding systems design and scalable architecture, and rigorously evaluating concepts through execution, experimentation, success, or failure. Proficient with modern delivery tools — Close familiarity with Jira, Confluence, Airtable, Slack, and the ability to collaborate effectively with engineering leaders to define and deliver high‑calibre solutions. Benefits and perks There's one thing people can't stop talking about when it comes to life at Sky: the perks. Here’s a taster: Free Sky TV or NOW package, including Sky Sports and Sky Cinema Pension package with up to 9% employer contribution Private healthcare with mental health support Aviva Digital GP and dental insurance Discounts on Sky products, including Sky Mobile, Sky Broadband, Sky Glass and Sky Protect Sharesave and Tech schemes A range of Sky VIP rewards and experiences How you’ll work We've adopted a hybrid working approach to give more flexibility on where and how we work. The hybrid working expectations for this role are 2 days in the office per week. Your office base Osterley Our Sky Group HQ. Equipped with state-of-the-art technology and workspaces, there’s plenty of space to see your big ideas come to life. Here you’ll find 13 subsidised restaurants and cafes. You can re-energise at our gym, catch the latest films at our cinema, get your car washed and even get pampered at our beauty salon. Our Osterley Campus is just a 10-minute walk from Syon Lane train station, or you can get one of our free shuttle buses from Osterley, Gunnersbury and Ealing Broadway stations. Plus, there’s free onsite parking available for cars, motorbikes and bicycles. Who we are We’re Sky, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us means you’ll be bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers, colleagues and society. We’re an equal opportunity employer and value diversity at our company. We're a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need as early as you can. Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. To be eligible for this role you are required to have the appropriate right to work in the UK. Please be aware Sky does not offer sponsorship for this position. To find out more about working with us, search #LifeAtSky on social media.

Want to do the best work of your life? With 24 million customers in 6 countries, make your mark at Europe’s leading media and entertainment brand. A workplace where you can proudly be yourself; our people make Sky a truly exciting and inclusive place to work. As a Senior Product Designer in our digital customer experience team, you’ll deliver high-quality designs, drive improvements to digital journeys, and be accountable for outcomes that reflect our brand and meet customer needs. Sitting within the Customer Experience Centre of Excellence, you’ll support CX strategy and portfolio design excellence across the UK & Ireland. From joining Sky to engaging with our latest services, we’re driven by one purpose: to create better experiences for our customers. What you’ll do: • Deliver world-class, intuitive, evidence-based experiences across web and native platforms, • Provide design vision and guidance, and use research insights and data to champion the customer voice and align it with business strategy., • Partner with product managers, architects, analysts and engineers to ensure solutions meet user needs, business goals, and technical requirements., • Run workshops, create user journey maps and champion AI tools to drive efficiency and creativity., • Support delivery with a focus on accessibility, CX KPIs, and scalable design systems. What you’ll bring: • Proven experience delivering high-quality, accessible, large-scale digital products and services across responsive web and native applications while working in large design team, • Advanced Figma skills, including prototyping using tokens and variables, previous contribution to large-scale component libraries and auditing design files for clarity., • Experience using research methods and lab/online platforms to conduct usability testing to understand customer needs, reduce friction and improve ease of use., • Proficient in data analytics tools such as Adobe Analytics, with the ability to track success metrics, interpret user behaviour, and validate journeys., • Clear, confident storytelling with adaptability and a growth mindset in fast-paced environments. Please include portfolio/content showing evidence of your experience across these four areas: 1. People - Helping develop high-performing teams., 2. Process - Applying scalable UCD methods that drive measurable outcomes., 3. Position - Influencing strategy and embedding design across an organisation., 4. Product - Producing provable world-class app–first digital experiences (Outcomes & Impact) The Rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here’s a taster: · Sky Q, for the TV you love all in one place · The magic of Sky Glass at an exclusive rate · A generous pension package · Private healthcare · Discounted mobile and broadband · A wide range of Sky VIP rewards and experiences How you’ll work The hybrid working expectations for this role are 3 days in the office per week. At Sky, we want to be a community that thrives by being together. Flexible working remains a key part of that. We want our people to have the best of both worlds – time working at home, as well as time in the office. Your office base London (Osterley) Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. Leeds Our spacious Leeds tech hub is less than a mile from Leeds train station. There’s plenty of parking in the surrounding streets and at the nearby CitiPark. Need a break? You can blow off steam over a game of pool or table tennis, and stay fit at our subsidised gym. Inclusion: At Sky we don’t just look at your CV. We’re more focused on who you are and your potential. We also know that everyone has a life outside work, so we’re happy to discuss flexible working. We are a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can’t wait to hear from you. To find out more about working with us, search #LifeAtSky on social media. A job you love to talk about. Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and unwavering support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow. Take the lead in unlocking growth potential for both new and existing AWS customers. As an AWS Demand Generation Representative you will be part of shaping the future of how technology is deployed for AWS customers. The Amazon Web Services cloud platform helps companies of all sizes transform and reinvent their businesses to meet the needs of their customers and communities around the world. From enabling rapid and individually customized cancer treatments to helping Fortune 500 companies meet their carbon emissions goals, the AWS technology stack is the backbone of some of the most innovative solutions to the World’s most pressing problems. According to Gartner, AWS is the leading cloud provider, both in terms of ability to execute and completeness of vision. With only 5% of all IT spend in the cloud, we are still in the early stages of what is possible. Shape the future of how technology is deployed for our customers. Amazon Web Services is growing our Cloud Sales Center (CSC) team to help more companies make the move to AWS. If you are passionate about cloud technology, sales, and driving meaningful impact to a wide variety of customers, AWS could be the right fit for your next career move. AWS offers an innovative environment where you can advance your career through our growing sales organization on a learning and earning path. Our Demand Generation team acts as the flywheel for pipeline and talent within the AWS Global Sales organization, focusing on prospects and customers of all types by generating new business opportunities across thousands of accounts. As a Demand Generation Representative (DGR), you will have the exciting opportunity to help prospects and customers solve critical business challenges, pursue growth, and maximize business impact using AWS solutions. You will own all top of funnel activity, conduct high quality account research and source net new contacts at scale to execute high volume prospecting, lead qualification and opportunity generation for your assigned territories. You will partner closely with Account Teams to develop a deep understanding of the primary industries, accounts and personas within your territories, developing new relationships across all organizational levels (from from technical admins to Line of Business executives). You will collaborate with internal and external partners to develop and execute comprehensive prospecting plans that identify new customer use cases. Once engaged with a customer or prospect, you will use effective communication and technical acumen to uncover and understand their critical business issues. Key job responsibilities • Work with other sales team members to ensure the opportunity is understood and next steps are clearly defined via demonstrations, discovery, and qualification., • Utilize product knowledge and internal resources that will help you leverage technical skillsets to meet customers’ needs., • Achieve all input and output goals including: contacts sourced, leads qualified, customer calls complete, customer meetings, and opportunities created., • Drive net new business via customer acquisition by leveraging one-to-many and one-to-one outbound campaigns in addition to qualifying inbound opportunities from marketing and partner channels., • Expand services breadth and consumption within your existing customer base via account planning and territory management., • Accurately track activity and develop pipeline using a CRM (Salesforce), with the ability to leverage self-service reporting tools., • Innovate new and creative ways to engage with new customers and expand on existing customer relationships., • Understand the technology footprint, technical challenges, and business objectives that each one of your customers faces. About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. • Experience navigating prospective accounts from and into a senior executive level to identify new customer opportunities, • Bachelor's degree or equivalent, • Sales or equivalent certification, • Experience using Salesforce, • Experience with Microsoft Office products and applications, • Experience in IT sales Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (_) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit _ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities As an experienced technology professional, you will be responsible for: 1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs, 2. Providing technical guidance and troubleshooting support throughout project delivery, 3. Collaborating with stakeholders to gather requirements and propose effective migration strategies, 4. Acting as a trusted advisor to customers on industry trends and emerging technologies, 5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts A day in the life About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Centre. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. • Experience as technical specialist in design and architecture, • Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis), • Experience in consulting, design and implementation of serverless distributed solutions, • Experience in cloud based solution (AWS or equivalent), system, network and operating system, • Experience in external or internal customer facing, complex and large scale project management, • Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies, • Experience building large-scale machine learning and AI solutions at Internet scale, • PhD in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field, or experience working with or evaluating AI systems, • Experience in data applications using large scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive) Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (_) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit _ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Italian Cuisine Sales Specialist - London £Competitive - company car or car allowance & home-based contract This is a specialist sales role focused on delivering incremental growth, new customer acquisition, and share-of-wallet uplift across the authentic Italian cuisine category. Covering Central London the specialist will act as the go-to expert for authentic Italian cuisine, supporting frontline sales colleagues in identifying and winning relevant opportunities within existing accounts, while also proactively targeting and securing brand new customers where we previously lacked the range to compete. By combining deep product knowledge with a strong commercial focus, the role will drive penetration of Italian cuisine across existing and new business, helping shape the future of the range and accelerating our credibility and success in this fast-growing category. What you’ll be doing: • Proactively research and prospect new business opportunities, maintaining a healthy and dynamic pipeline of potential customers with authentic Italian cuisine needs., • Support frontline sales colleagues (ASMs, BDMs, YWCs) to identify and win Italian cuisine share-of-wallet opportunities within their customer base., • Build strong commercial relationships with both new and existing customers to understand their business, menu strategy, and Italian cuisine requirements., • Develop profitable and relevant propositions tailored to customer needs, leading to customer wins and long-term partnerships., • Build ledger and own customer relationship directly for outlets within an assigned area., • Onboard new customers effectively and successfully, • Grow total value of the neighbourhood by increasing share of wallet with existing customers and acquiring new customers through targeted Italian cuisine-led solutions., • Deliver exceptional customer experiences through tastings, demonstrations, and menu consultation to showcase our Italian range and unlock new opportunities., • Monitor competitor activity and work proactively to retain business and develop long-term, profitable partnerships with customers., • Use Salesforce CRM to manage pipeline, track activity, and provide clear visibility of progress across opportunities., • Collaborate with procurement and category teams to influence future range development based on customer feedback and market trends., • Represent the Italian cuisine proposition at food shows, team meetings, and engagement events to build internal awareness and momentum. What we are looking for: • Fluent Italian speaker, • Strong passion for authentic Italian cuisine, with sound knowledge of key product types and regional trends., • Demonstrated success in sales, business development, or account management within foodservice, hospitality, or a relevant category., • Experience using customer insight, menu analysis, and market data to identify and convert opportunities., • Excellent communication, relationship-building, and influencing skills., • Self-motivated and proactive, with strong organisational skills and the ability to manage a field-based role across Central London., • Comfortable working independently as well as collaboratively across cross-functional teams., • Commercially astute, with the ability to balance short-term wins and long-term customer value.

The Fisher Investments Institutional Group (FIIG) serves a global client base of diverse investors, including corporate, public and multi-employer pension funds, foundations and endowments, insurance and financial institutions, and governments. FI currently manages ~$27B AUM with Responsible Investments/ESG/SRI guidelines (Environmental, Social, Governance/Socially Responsible Investing) for clients around the globe. The Opportunity: As the Responsible Investments (RI) Program Manager, you will lead the lifecycle of FIIG’s RI-related investment offerings which today include a diverse set of ESG/Sustainable/Impact/Paris-aligned/SRI branded strategies. Such leadership includes roadmap & product strategy development, competitor research, product design & enhancement, and external positioning. You will collaborate with multiple FIIG teams (New Strategy Development, Engagement, Sales/RFP, Marketing & Content) and firm groups (Portfolio Management Group, Legal Compliance Department, etc). You will understand global ESG investment trends & regulations to ensure the firm’s institutional ESG offerings are best positioned to meet current and future client demands. The Day-to-Day: • Support and develop ESG-product strategy, roadmap and business cases with firm stakeholders, • Conduct market and competitor analysis for equity/fixed ESG-product design and enhancement, • Create external product positioning, value-propositions, and key answers for FI’s ESG & Investment process, • Support the Responsible Investments team in day-to-day client/prospect requests and act as an internal ESG expert supporting training, • Maintain expertise in shifting ESG regulatory trends, industry standards, and best practices, • Monitor market developments from external organizations, third party reporting frameworks (e.g. PRI), ESG labels to understand evolving markets standards and client preferences Your Qualifications: • 5+ years' experience in the financial services sector with at least 3 years in ESG-product development, investment management, or manager research at an asset management/investment consulting firm, • Strong understanding of global equity markets, institutional investors, portfolio management techniques with experience communicating complex investment concepts, • Proven knowledge of ESG-related investor & regulatory trends in the EU (e.g. SFDR), UK and US, • Passionate about both Responsible Investments & asset management, • Experience using tools from services such as FactSet, Morningstar, and ESG data providers Why Fisher Investments Europe: The global Fisher organisation distinguishes itself by putting clients first, providing unmatched service, and taking a personalised approach to investing. You can feel confident knowing that we align with our clients' best interests by using a simple and transparent fee structure and recognised European custodians. It's the people that make the Fisher purpose possible, and to help our employees meet their long-term goals, we offer an array of benefits, including: • 100% paid premiums for our top-tier supplemental medical, dental and annual health screening plans for employees and their qualified dependents, • 28 days annual leave, with the ability to purchase up to 3 additional days per year, plus up to 8 paid holidays, • Enhanced maternity pay package with 16 weeks' top up to full base pay for eligible employees, • $10,000* fertility, hormonal health and family-forming benefit, • A retirement pension plan, featuring a 9% company contribution of base pay with an additional company match of up to 5% of base pay on personal contributions, • Gym subsidy of up to £50 per month, • Employee Assistance Program and other emotional wellbeing services, • A collaborative working environment that practises ongoing training, educational support and employee appreciation events, • This is an in-office role. Based on your role, tenure, and performance eligibility you may have the opportunity to participate in our hybrid work from home program. This program is subject to change. *Employees residing outside of the US will be eligible for the $10,000 equivalent in their local currency. FISHER INVESTMENTS EUROPE IS AN EQUAL OPPORTUNITY EMPLOYER

If you are a current Jazz employee please apply via the Internal Career site. \n Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to \ntransform the lives of patients and their families. We are dedicated to developing \nlife-changing medicines for people with serious diseases — often with limited or no \ntherapeutic options. We have a diverse portfolio of marketed medicines, including leading \ntherapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. \nOur patient-focused and science-driven approach powers pioneering research and development \nadvancements across our robust pipeline of innovative therapeutics in oncology and \nneuroscience. Jazz is headquartered in Dublin, Ireland with research and development \nlaboratories, manufacturing facilities and employees in multiple countries committed to \nserving patients worldwide. Please visit\nwww.jazzpharmaceuticals.com\nfor more information. \n 1 Essential Functions/Responsibilities The Associate Medical Director / Global Safety Physician is responsible for implementing the global safety strategy and monitoring the overall safety profile for Jazz Pharmaceuticals products (investigational and marketed) throughout its lifecycle. This includes generating all major pre- and post-marketing safety deliverables including signal, benefit-risk evaluation and risk management activities. This individual must effectively interface cross-functionally at all levels in the organization as well as with external Regulatory Authorities. This individual, under supervision from the Senior Medical Director in Medical Safety, will work together with PV staff in managing the safety assessment of products, including review of aggregate safety analyses and scientific literature, preparing safety reports and communicating changes in the product risk profile to internal and external stakeholders. The ability to work in a dynamic, changing environment to meet corporate and patient needs is essential. • Provide Medical Safety/PV inputs to the assigned products at Jazz Pharmaceuticals, which may include Clinical Development program of all phases, Investigator Sponsored, Compassionate Use, and Disease Monitoring Programs; liaise with Clinical Sciences, Clinical Operations, Medical Affairs, Biometrics, Regulatory Affairs, Contract Research Organizations (CROs), Data Monitoring Committees (DMCs) and other entities to contribute to overall study execution while ensuring safety strategy and operational excellence • Provide Medical safety/PV inputs to Jazz Pharmaceuticals Commercial organization to support global launch activities for assigned products, • Participate in the preparation and review of safety-related section(s) for clinical, regulatory, and scientific documents including protocols, informed consent/assent forms, case report forms (CRFs), statistical plans, clinical study reports/synopses, integrated summaries of safety, New Drug or Biologic License Applications (NDA/BLA), Marketing Authorization Applications (MAA), Common Technical Document (CTD) submissions, Regulatory Agency responses, IRB/EC requests, briefing books, manuscripts, journal articles and other documents as needed, ensuring safety profile reflected for assigned products, • Collaborate in the creation and maintenance of Company Core Safety Information (CCSI) and with the Jazz Labeling Committee ensure implementation of CCSI in all Reference Safety Information (RSI) including Investigator Brochures (IBs), Company Core Data Sheet (CCDS), national labels and other associated product labeling, • Perform review of medical/scientific literature to identify literature relevant for signal detection activities and aggregate reporting for assigned products, as needed, • Conduct signal detection activities to ensure signal identification, evaluation, validation, for assigned products including individual and aggregate data analyses; interpretation of safety signals and trends; documentation and communication of safety assessments (written and verbal) of safety risks in collaboration with key internal/external stakeholders, • Chair the Safety Management Team (SMT) of products under authority and participate in other executive forums for assigned products, • Serve as the signatory and overseer of the preparation and review of pre- and postmarketing aggregate safety reports including Periodic Safety Update Reports (PSURs)/Periodic Benefit Risk Evaluation Reports (PBRERs), Periodic Adverse Drug Experience Reports (PADERs), Development Safety Update Reports (DSURs), IND Annual Reports, and 6-month Suspected Unexpected Serious Adverse Reactions (SUSARs) Line Listing Reports and ensure consistent communication of safety profile/topics across various regulatory safety documents for assigned products, • Contribute to preparation of Risk Management Plans (RMPs) for assigned products ensuring identification of risks, appropriate risk minimization and effectiveness measures in accord with regulatory requirements, • Provide guidance with adverse event (MedDRA) and drug (WHODrug) coding for clinical and post-marketing safety data, • Demonstrate knowledge and ensure compliance with current and applicable global PV regulations and guidelines (e.g., CIOMS, EMA, FDA, ICH, etc.), SOPs and quality standards; active involvement in inspection readiness activities, internal audits and external inspections, • Represent PV in cross-functional forums and committees involving products under responsibility to achieve the Company’s goals, • Contribute to key performance indicators to ensure PV excellence, • Maintain knowledge of Jazz Pharmaceuticals indications for investigational and/or marketed products assigned, • Keeps abreast of new PV/safety regulations and guidance from the regulatory authorities 2 Required Knowledge, Skills, and Abilities • Understanding of global PV regulatory environment with working knowledge of international regulations, initiatives, standards and Good Pharmacovigilance practices (GVP) including but not limited to Americas and European Union, territories including an understanding of case processing procedures and other pharmacovigilance processes, • Working knowledge of safety databases (ARISg, ARGUS, or other safety database applications) and electronic data capture systems, • MedDRA trained and working knowledge of MedDRA and WHO Drug coding dictionaries, • Working experience with PV audit process with active participation in Regulatory Authority Inspections is preferred, • Ability to manage multiple tasks with deadlines in fast-paced working environment, • Knowledge of drug development process, • Requires a high level of initiative and independence, • Must have excellent written and oral communication skills, resourcefulness and personal organization skills together with demonstrated cross-functional teamwork, • Computer literacy with proficiency in external Regulatory Databases, Microsoft Excel, PowerPoint and Word, • Some national/international travel may be required 3 Required/Preferred Education and Licenses • MD required (or equivalent); medical licensure in at least one state preferred; clinical research and/or fellowship training in internal medicine or neuroscience, hematology/oncology or other relevant specialty is a plus, • Minimum 3 years of Drug Safety/Pharmacovigilance (PV) experience or 3 or more years clinical development experience. Other relevant experience may be considered #LI-Remote Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. FOR US BASED CANDIDATES ONLY Jazz Pharmaceuticals, Inc. is committed to fair and equitable compensation practices and we strive to provide employees with total compensation packages that are market competitive. For this role, the full and complete base pay range is: $212,000.00 - $318,000.00 Individual compensation paid within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, and other pertinent factors. The goal is to ensure fair and competitive compensation aligned with the candidate's expertise and contributions, within the established pay framework and our Total Compensation philosophy. Internal equity considerations will also influence individual base pay decisions. This range will be reviewed on a regular basis. At Jazz, your base pay is only one part of your total compensation package. The successful candidate may also be eligible for a discretionary annual cash bonus or incentive compensation (depending on the role), in accordance with the terms of the Company's Global Cash Bonus Plan or Incentive Compensation Plan, as well as discretionary equity grants in accordance with Jazz's Long Term Equity Incentive Plan. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, 401k retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: https://careers.jazzpharma.com/benefits.html.

If you are a current Jazz employee please apply via the Internal Career site. \n Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to \ntransform the lives of patients and their families. We are dedicated to developing \nlife-changing medicines for people with serious diseases — often with limited or no \ntherapeutic options. We have a diverse portfolio of marketed medicines, including leading \ntherapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. \nOur patient-focused and science-driven approach powers pioneering research and development \nadvancements across our robust pipeline of innovative therapeutics in oncology and \nneuroscience. Jazz is headquartered in Dublin, Ireland with research and development \nlaboratories, manufacturing facilities and employees in multiple countries committed to \nserving patients worldwide. Please visit\nwww.jazzpharmaceuticals.com\nfor more information. \n The Associate Director of Drug Product Development is responsible for providing scientific and technical leadership for Jazz Pharmaceuticals’ Pharmaceutical Development programs at various stages of the development life-cycle including preformulation, formulation and process development, technical transfer and validation. The Associate Director of Drug Product Development will oversee drug product aspects of development and manufacturing projects from pre-formulation and product feasibility through to clinical trial supply and technology transfer/commercialization. In addition, the Associate Director of Drug Product Development may provide leadership of cross-functional CMC development teams. The Associate Director of Drug Product Development will have broad experience in pharmaceutical product development, demonstrated problem solving ability, module 3 authorship, development of robust manufacturing processes through designed experiments and data analysis, and excellent project management, teamwork and leadership skills. Essential Functions Leads the development of small molecule drug product formulations, appropriate to the phase of pharmaceutical development, with sufficient stability and robustness for clinical and/or commercial manufacturing. Responsible for specifying product and process requirements, including manufacturing equipment and methods, performance criteria, materials, test protocols, required analytical methodology, packaging (clinical and commercial); and in developing robust processes for pharmaceutical production. Directs projects and leads cross-functional teams (as required) with technical proficiency, scientific creativity, collaboration with others to achieve project goals on time and within budget. Create intellectual property covering Jazz Pharmaceuticals products and ensure freedom to operate in the development of new drug products Support the identification and selection of suitable drug product development and commercial manufacturing vendors (CMOs). Direct technical projects (internally and at CDMOs) including developing detailed technical work plans and managing performance of vendors. Work cooperatively with, or lead, internal and external teams as required. Author CMC sections of regulatory dossiers for products at all stages to enable acceptance by global regulators. Supports asset due diligence and new product introduction and integrations Apply current knowledge of cGMP and industry standards for process design and validation to manage vendors and contract development organizations. Required Knowledge, Skills, and Abilities 10 years’ experience in drug product development in the pharmaceutical industry required. Direct experience with formulation development, process development, technical transfer and/or process validation. Demonstrated technical proficiency, engineering, collaboration with others, and independent thought. Strong teamwork skills. Demonstrated troubleshooting and problem-solving skills including the use of designed experiments, statistical process control, Development/authorship of CMC regulatory filings for pharmaceutical products. Broad exposure to multiple drug delivery technologies and knowledge of standard dosage forms preferred. Excellent written and verbal communication skills Current knowledge of quality systems and FDA and EU regulations as they relate to pharmaceutical development and validation. Experience in intellectual property development desirable. Proven project management skills for technical programs. Flexibility to travel on company business when required Required/Preferred Education and Licenses Advanced degree in Chemistry, Pharm. Sci., Engineering, or related field, or equivalent combination of education and work-related experience required. Description of Physical Demands Occasional mobility within office environment. Routinely sitting for extended periods of time. Constantly operating a computer, printer, telephone and other similar office machinery. Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. FOR US BASED CANDIDATES ONLY Jazz Pharmaceuticals, Inc. is committed to fair and equitable compensation practices and we strive to provide employees with total compensation packages that are market competitive. For this role, the full and complete base pay range is: $157,600.00 - $236,400.00 Individual compensation paid within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, and other pertinent factors. The goal is to ensure fair and competitive compensation aligned with the candidate's expertise and contributions, within the established pay framework and our Total Compensation philosophy. Internal equity considerations will also influence individual base pay decisions. This range will be reviewed on a regular basis. At Jazz, your base pay is only one part of your total compensation package. The successful candidate may also be eligible for a discretionary annual cash bonus or incentive compensation (depending on the role), in accordance with the terms of the Company's Global Cash Bonus Plan or Incentive Compensation Plan, as well as discretionary equity grants in accordance with Jazz's Long Term Equity Incentive Plan. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, 401k retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: https://careers.jazzpharma.com/benefits.html.

Software Engineer (AI Research / Machine Learning) Duration: 6 Months (Extension possible) Location: London – Hybrid, 3 days onsite per week Working Hours: Monday to Friday, 9:00 AM – 6:00 PM (40 hours per week) About the Role Our client is seeking Research Engineers to join their Fundamental AI Research team. The team is committed to advancing artificial intelligence through fundamental research and developing technologies that help machines better understand and interact with the world. This is an opportunity to work on cutting-edge AI research, building large language model (LLM) agents and solving complex machine learning systems challenges at scale. Responsibilities • Carry out cutting-edge research to advance the science and technology of machine learning systems., • Design methods, tools, and infrastructure to push forward the state of the art in large language models., • Collaborate with researchers and cross-functional partners, communicating research plans, progress, and results., • Suggest, collect, and synthesize requirements and create an effective feature roadmap., • Code deliverables alongside the engineering team., • Publish research results and contribute to research that impacts product development. Minimum Qualifications • 2+ years of hands-on experience in one or more of the following:, • Machine Learning, • Recommendation Systems, • Pattern Recognition, • Data Mining, • Artificial Intelligence, • Experience developing machine learning models at scale, including programmatically querying LLMs and LLM post-training., • Strong programming experience in Python., • Hands-on experience with PyTorch or similar frameworks., • Experience writing software and executing complex experiments involving large AI models and datasets., • Proven ability to translate insights into business recommendations., • Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience. Preferred Qualifications • Direct experience in Generative AI and LLM research., • PhD or research-focused Master's degree in Machine Learning or related fields. Project Overview The successful candidate will join an AI research team focused on: • Building machine learning agents., • Creating AI systems that automate research workflows., • Developing LLM agents., • Working across multiple streams of the same research project., • Writing production-quality code using Python and PyTorch. Team • Part of a leading AI research organisation based in London., • Working closely with research engineers, research scientists, and other contingent workers., • Collaborative, fast-paced research environment. Top 3 Non-Negotiable Skills • Strong scientific mindset – organised, diligent, and analytical., • Excellent engineering skills with the ability to execute and deliver quickly., • Ability to work efficiently in a high-output coding environment. Nice to Have • Students or graduates from leading universities., • Highly motivated with a passion for learning., • Experience with leading technology companies (including internships)., • Physics or mathematics background., • Experience as an Applied Scientist, Research Engineer, or similar., • Experience with Python, PyTorch, LLM agents, pre-training, or broader machine learning disciplines., • Quantum computing experience is a plus. Experience Required • 2–4 years of experience (Industry: 0–4 years)., • Strong academic or internship exposure to Machine Learning, AI, research, or startups will also be considered. What Makes This Role Interesting • Opportunity to work on cutting-edge AI research., • Contribute to technology that has the potential to change the world., • Work alongside some of the leading researchers in the field., • One of the few opportunities of this kind currently available in London. Candidate Profile Successful candidates will demonstrate: • Passion for machine learning and AI research., • Strong execution mindset., • Ability to work collaboratively in a team environment., • Adaptability and willingness to work in a fast-moving research setting. Challenges Candidates should be comfortable with: • Working in a high-pressure environment., • Moving across different workstreams within the team., • Handling ambiguity and rapidly evolving priorities. Interview Process • Initial Screening Interview, • Two Loop Interviews

AI/ML Engineer - London - YC backed start-up We’re working with a YC-backed, venture-funded technology company using AI to transform a large, traditional industry. They’ve already raised significant funding, work with major enterprise customers, and are scaling a high-performing engineering team to build AI systems that power complex, real-world workflows. The Role You’ll join as an AI/ML Engineer, building and deploying AI systems that improve speed, accuracy, and customer experience across mission-critical operations.This is a hands-on role for someone who wants to ship quickly, work closely with domain experts, and turn complex processes into production-ready AI workflows. What You’ll Do • Build AI systems that improve accuracy, speed, and decision-making, • Turn complex operational processes into AI-driven workflows, • Deploy ML solutions into production at scale, • Work closely with domain experts, users, and founders, • Help shape the engineering culture as the team grows Requirements • 2+ years’ experience in AI/ML engineering or research, • A track record of delivering AI/ML projects from concept to production, • Strong product instincts and a bias for shipping, • The ability to work well with non-technical users, • Comfort operating in a fast-paced, ambiguous startup environment, • Excitement for an intense, high-performance culture Benefits • Equity participation, • UK Skilled Worker visa sponsorship, • Health insurance, • Pension contributions, • Company offsites

Software Engineer | London | GenAI We are partnered with a GenAI platform for enterprise customer experience - one of the fastest growing AI companies in the world. Backed by very large investors and founders from top tier firms across the space. They have built a platform that resolves millions of customer inquiries across chat, email, and voice, in every language, around the clock. Spanning finance, healthcare. hospitality and consumer tech. This isn’t a company still searching for product-market fit; they’re scaling a proven platform into every major industry on earth. The culture is in-office, high-velocity, and unambiguously excellent. If you want to move fast, own your work completely, and build things that reach millions of users, this is the environment for it. The Role You’ll join the Engineering department responsible for deploying mission-critical AI agents directly to enterprise customers. This is end-to-end ownership: you’ll take agents from initial implementation through to continuous iteration in production, working directly with customer stakeholders across industries. The problems here are genuinely hard. You’ll be building agents that need to outperform human support in managing complex, high-stakes interactions at scale. That means digging deep into system failures, running evaluations on the latest frontier models, and engineering solutions that are both elegant and robust. What You’ll Do • Design and build AI agents that outperform human agents in managing complex customer interactions and driving retention, • Identify cross-customer trends to inform the evolution of the agent platform and research roadmap, • Experiment with and evaluate the latest text and voice models, then integrate them at scale with enterprise customers, • Collaborate directly with customer leaders across finance, healthcare, and hospitality to solve real user problems, • Own your work end-to-end - from architecture decisions through to production deployment and iteration What They’re Looking For • 2+ years of industry software engineering experience, • Strong proficiency in Python and TypeScript, including asynchronous programming, • High comfort level debugging complex system failures across deep technology stacks, • A mindset of full ownership - you treat production issues as your own and don’t wait to be asked Nice to Have • Prior experience working with multi-modal models Compensation & Benefits • Competitive base salary + equity, • Medical, dental, and vision coverage, • Flexible ‘take what you need’ vacation policy, • Daily lunches, dinners, and snacks in the office

About the Company - Entrust Identity Verification: At Entrust, identity is no longer a compliance checkbox—it’s a real-time product problem shaped by machine learning, adversarial behavior, and high-stakes decisions. Every verification is a trade-off between fraud prevention, user experience, speed, and trust—and getting it right determines whether a legitimate user gets access or a sophisticated attacker gets stopped. Our Identity portfolio (formerly Onfido) powers document and biometric verification, fraud detection, and identity decisions at global scale. From detecting deepfakes to enabling seamless onboarding, our ML systems sit directly on the critical path of digital trust—used by banks, fintechs, marketplaces, and enterprises worldwide. About the Team: You’ll join a high-caliber Applied Science group (~20+ scientists) working at the intersection of machine learning, product, and real-world constraints. The team is supported by a state-of-the-art ML Ops ecosystem (AWS, Encord, Ray, PyTorch Lightning, Weights & Biases) and partners closely with product and engineering to ship models into production at scale. This is applied research in its truest sense: advancing the frontier while delivering systems that must be accurate, fast, fair, and resilient in adversarial environments. Position Overview: We’re looking for An Applied Scientist Lead - Computer Vision to lead one of our Applied Science teams at Entrust. You will lead a team of 6 applied scientists that trains and evaluates vision-language models for data extraction on one side, and efficient models (<5MB) that run on mobile devices on the other. The ML space here is exciting: better vision-language models enable better and more general extraction, and techniques like distillation and quantisation allow models to become smaller and smaller. We expect this role to be hands-on for about 50% of your time—making contributions to the codebase helps you deliver better feedback as well. What you will be doing: • Define the team's roadmap together with product and engineering leads., • Stay up-to-date on the vision-language modelling and efficient ML literature, and translate these insights into product opportunities., • Manage a team of 6 Applied Scientists., • Contribute to the regular development lifecycle by contributing to dataset creation, model training and evaluation code., • Push the frontier of research in areas such as vision-language modelling, document understanding, few-shot learning, distillation, quantisation, and active learning., • Publish research results in national and international conferences and scientific journals. You may be a good fit if you: • Have 2+ years of experience leading a team of ML scientists or research engineers., • Have 5+ years of industry experience as an individual contributor in a machine learning science team, either as an ML scientist or research engineer., • Have strong experience in machine learning and computer vision., • Have a strong record of successfully delivering high-performance ML-driven products., • Have a deep understanding of machine learning theory., • Have strong coding skills in Python and PyTorch. Strong candidates may also have: • Technical experience in one or more of the following areas: document understanding, vision-language modelling, few-shot learning, distillation, quantisation and active learning., • Published at top-level machine learning conferences., • Experience optimizing (distributed) training code. What are we looking for? An Applied Scientist Lead excels in three areas: 1. Scientific Contributions: This person must shine as an example through past work and scientific drive within the team. They will continue to make direct contributions through side projects and, more often, by influencing the team’s work with unique ideas. The goal of our team is also to positively impact the broader community, so this person should stand out through external contributions such as publications, talks, and open-source work., 2. Leadership & People Management: This person must be passionate about growing the people on their team. Applied Scientists often require dedicated and thoughtful support due to the inherently unpredictable nature of their work., 3. Product and Business Acumen: We are a product-centric and customer-centric company, so our work should strive to deliver meaningful product impact. This person must deeply care about both the product and the business, and excel at building long-lasting relationships across cross-functional teams including Product, Design, Engineering, and Analytics. Where you will be: London, UK or Paris, France (Hybrid – 3 days in office) Why join us? Solve problems that matter—at scale. At Entrust, we combine cutting-edge research with a deeply product-oriented culture—where ideas don’t stop at papers, they power systems used by millions. Our products sit on the front lines of digital trust, tackling visual fraud at scale—from deepfakes and synthetic identities to sophisticated spoofing attacks. You’ll lead teams, shape ML direction, and build models that must perform in the real world—under adversarial conditions, across global systems, and with real consequences. If you’re motivated by turning advanced research into production-grade systems—and pushing the frontier while doing it—this is the kind of work worth doing. NO AGENCIES, NO RELOCATION #LI-GR1

About the Role We are looking for a talented and passionateAI Algorithm Engineerto join our global e-commerce team in London. In this role, you will be at the forefront of applying cutting‑edge AI technologies – including AI Agents and AIGC – to solve real‑world challenges across multiple languages and countries. You will help us build intelligent, automated solutions that enrich product content, power automated marketing operations, and deliver a superior shopping experience for users worldwide. What You'll Do • Drive AI Agent Adoption in Global E‑commerce, • Lead the implementation and optimisation of AI Agent technologies in diverse, multi‑lingual, cross‑border scenarios to enhance operational efficiency and user engagement., • Build AI‑powered Automation and Intelligence, • Develop automated, intelligent capabilities for the overseas e‑commerce landscape, with a focus on building robust automated marketing and operations solutions., • Enrich Product Content with AIGC, • Leverage generative AI (e.g., AIGC) to augment and refine product information, ensuring that users receive more accurate, detailed, and engaging product details across all markets. About You • Master’s degree or above in Computer Science, Artificial Intelligence, or a related field, withat least 1 year of hands‑on experiencein large language model (LLM) research and development., • Solid understanding of common machine learning models, includingDiffusion Models and Transformers, and proven proficiency with deep learning frameworks such asTensorFlow or PyTorch., • Strong foundation indata structures and algorithms, with excellent programming skills inPython or C++., • Demonstrated track record of outstanding achievement, such aswinning international competitionsorpublishing papersin top‑tier conferences and journals, including ICML, ICLR, NeurIPS, AAAI, IJCAI, KDD, WebConf, etc., • Alignment with our core values:Customer First, Innovation, Strive, Accountability, Gratitude, and Integrity. What We Offer Joining JD.com means becoming part of a company where people, innovation, and impact go hand in hand. We offer a competitive salary, a great location, and a supportive, people-first culture where your growth truly matters. With access to global projects, learning opportunities, and an inclusive environment that values every voice, you’ll have the space to shape the future with us. At JD.com, we’re committed to building a diverse and inclusive workplace where everyone can thrive. We’re proud to be an equal opportunity employer and make all employment decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, veteran status, or any other protected characteristic. Ready to apply? Take the next step in your career, apply now and explore the opportunities we have to offer.

Our customers tell us we have the best AI platform for equity research (and our evals agree.) What we definitely don't have? The world's best-looking app, website, or brand. That's where you come in. Who You Are • Front-end obsessed: You care deeply about UI craft, interaction quality, and the kind of polish most people don't notice but everyone feels., • High taste, high output: You make products feel modern, fast, and delightful and you ship reliably across multiple surfaces., • Strong product instincts: You make good UX calls without hand-holding, and you iterate fast., • Domain-agnostic: You don't need finance experience. We'll teach you the domain; you bring the craft. Who you’ll be joining: • Primer is the leading AI analyst for equity investors, • Our mission is to build the AI system that becomes the system of record for equity investors: the place they think, research, and decide every day., • Software people live in all day has to earn that right and usability and aesthetic are the difference between a tool people try and a system they can't work without.

We're partnered with a global financial services consulting firm seeking a highly experienced Engineers with deep Java expertise to join their growing engineering practice in London. Renowned for their entrepreneurial culture and high-impact delivery for Tier 1 financial institutions, this is an exceptional opportunity for a senior engineer ready to take technical ownership and shape the architecture of complex, enterprise-scale systems. You'll be working across a range of client-facing projects in financial services - designing and building cloud-native backend solutions from the ground up, contributing to architecture decisions, and collaborating closely with product and engineering teams. What you'll be doing: • Crafting high-performance, distributed backend systems that sit at the core of enterprise financial platforms - using modern Java and Spring Boot, • Taking the lead on service design and API development, ensuring solutions are robust, maintainable, and built to last, • Owning the full deployment lifecycle on AWS - from infrastructure provisioning through to live production environments - with automation and repeatability at the forefront, • Getting stuck into architecture conversations early, bringing strong opinions and practical experience to the table, • Raising the bar on quality - defining and implementing testing strategies that give teams genuine confidence in what they ship, • Partnering closely with client stakeholders, product thinkers, and fellow engineers in fast-moving agile environments What we're looking for: • A seasoned Java engineer with a strong command of modern Java versions and a proven ability to deliver at scale using Spring Boot, • Someone who thinks in systems - comfortable reasoning about event-driven architectures, distributed data flows, and complex integration patterns, • Hands-on experience running workloads in AWS, with a solid understanding of how to build and maintain cloud infrastructure responsibly, • Practical knowledge of message streaming technologies and how they're used to connect systems reliably at scale, • Confidence working across different data storage paradigms - knowing when to reach for relational vs. non-relational solutions, • A collaborative mindset with the ability to navigate technical complexity and bring others along with you Bonus points for: • AWS Certified Solutions Architect (Associate or Professional), • Experience with GitLab CI/CD and BDD/Cucumber test frameworks, • A desire to mentor junior engineers and contribute beyond day-to-day delivery ADVERT DISCLAIMER Research indicates that men will apply to a role when they only meet 50-60% of the descriptions, however, when looking at women and other minority groups, they can look for up to a 99% match in order to apply to a role. If you feel you are a fit for our role, please still apply, don’t worry if you don’t tick every single box. We’d still love to hear from you. We encourage underrepresented talent to apply to all our roles & support accessibility needs

About Loctax Loctax is a tax technology company. We build software for tax professionals at large multinationals and advisory firms, helping them with tax research, compliance, risk and governance management across all the jurisdictions they operate in. Founded in 2020, Loctax was acquired by Tax Systems in 2025 and is now part of the UK's leading corporate tax software group, trusted by thousands of tax and finance professionals. Together with Tax Systems, we are building the very first Tax Operating System: one AI-powered platform where global tax professionals can research, comply, and make decisions without switching between a dozen disconnected tools. This is an early and pivotal moment in that journey. About the Role Tax Engineer is a new kind of role. Tax teams don't just want software handed to them; they want someone who understands how their function actually works and can turn an AI-powered platform into real, measurable outcomes. As a Tax Engineer, you'll own customer implementation projects from sales handover through to delivery, adoption and renewal, acting as the primary point of contact throughout. You'll combine your tax expertise with strong relationship skills to design tailored solutions, and work closely with Sales, Product and Engineering to make sure customers see lasting value. Think of it as part tax technology consultant, part product specialist, part solutions architect, and part trusted partner. There's no fixed playbook here; you'll help write it as we scale the Tax Engineering function. Who You Are • Tax professional with strong expertise in tax processes, governance and operational strategy, with at least five years of in-house and / or advisory experience., • Passionate about how technology can transform and improve the tax function., • Tech-curious and product-savvy. You don't need to be a coder, but you lean into technical conversations around generative AI, implementation and workflow transformation., • Enjoy working directly with customers and building strong, trusted relationships., • Confident leading customer conversations and guiding stakeholders through implementation and change., • Strong project management and communication skills, with the ability to manage multiple engagements effectively., • Proactive, solutions-oriented and comfortable working in a fast-paced environment., • Collaborative and effective across cross-functional and distributed teams., • Comfortable working in a remote-first environment and attending London collaboration days when required., • Based in London or Belgium What You Will Be Doing As a Tax Engineer, your work spans the full customer lifecycle, from the first pre-sales conversation through to long-term value and renewal: Sales Engagement and Solution Scoping • Partner with Sales during the pre-sales process to understand customer requirements, define implementation scope and align customer goals and expectations., • Support smooth transitions from Sales through onboarding and implementation. Own Customer Implementations • Lead customer onboarding and implementation projects end-to-end, acting as the primary point of contact throughout delivery., • Develop tailored implementation plans, manage timelines, coordinate stakeholders and ensure successful project outcomes. Leverage Your Tax Expertise • Use your tax knowledge to understand customer challenges and advise on best practices for tax processes, governance, compliance and operational efficiency., • Help customers configure and optimise Loctax to meet their strategic objectives. Manage Ongoing Customer Relationships • Build long-term trusted relationships with customers and act as a strategic partner throughout their journey with Loctax., • Drive customer engagement and platform adoption to ensure customers realise ongoing value from the platform., • Conduct regular customer check-ins, training sessions and strategic reviews., • Proactively identify and manage customer risks, challenges and opportunities. Renewal and Retention Activities • Own customer renewal processes by demonstrating value delivered and aligning on future goals and priorities., • Support customer retention and identify opportunities for account growth and expansion. Collaborate Cross-Functionally • Work closely with Product, Engineering and Sales teams to solve customer challenges and improve the customer experience., • Provide customer feedback and insights to help shape future platform capabilities and enhancements. As a Tax Engineer at Loctax, you'll be at the front of how the world's tax teams adopt AI, part of building the first Tax Operating System and helping define a role that didn't exist a few years ago.

Talentmark are recruiting for a Research Software Engineer to join a growing biotechnology company, on a permanent basis. Location – West London. This role offers Hybrid working with 3 days per week in the office. Salary - £50,000 - £65,000 per annum depending on skills and experience. This role would be suitable for a recent PhD graduate, a degree level candidate with post study industry and academic experience, or a more experienced Software Engineer looking to continue developing their career. Our client is a biotechnology start up that has developed a cutting edge, bench top analytical device. Their product is based on years of cutting-edge R&D and enables the rapid development of novel therapeutic Nanoformulations. Skills and Criteria: • Degree in Computer Science, Physics, Bioengineering, or a related field., • Proficiency in Python programming, and experience with some of NumPy, SciPy, Pandas, Matplotlib, Sklearn and PyTorch., • Experience with hardware integration or interfacing software with laboratory instruments., • Familiarity with development lifecycles, version control, testing and documentation., • Demonstrated ability to work in a collaborative and multidisciplinary environment. It is essential that applicants hold entitlement to work in the UK. Please quote job reference 193112 in all correspondence.

The moment Consulting is being agentified. The $300B insights industry is about to be rebuilt by AI agents that don't just report what happened — they tell brands what to do next and execute it. Most firms are still figuring out how to use ChatGPT for email. We've already built the agents. Hotspex has spent 25 years measuring what the world's biggest brands make people feel — over 1M interviews, 800+ brands, 33 countries, validated at P&G, Coca-Cola, Unilever, RBC, TELUS. Now we're weaponizing that dataset with AI. Every methodology we've built is becoming an autonomous agent. Every deliverable is becoming a living product. Every client interaction is becoming an intelligent system. This is the Agentification of Consulting — and we're riding the front of the wave. We need a Full Stack Engineer in Toronto who wants to build what comes next. What you'll build You won't be maintaining someone else's codebase. You'll ship enterprise-grade AI products to Fortune 100 CMOs — and you'll see your work in boardrooms within weeks, not quarters. → Agent-powered brand intelligence platforms — autonomous systems that ingest research data, generate strategic recommendations, and deliver them directly to the world's largest advertisers → Top of Model™ — our proprietary platform measuring how brands rank inside ChatGPT, Claude, Gemini, and Perplexity. We're defining an entirely new category of brand measurement for the AI era → BrandSpace — a self-serve SaaS platform putting 25 years of enterprise-grade emotional brand science into the hands of every marketer → MCP server integrations and agentic tool chains — exposing our Human Motivation Framework as API-accessible AI tools that plug into Claude, Adobe, and enterprise martech stacks → Client-facing interactive products — brand simulators, revenue growth models, and AI-powered proposal systems that win seven-figure engagements Who you are You're a builder, not a ticket-taker. You can go from a rough CEO brief on Monday to a shipped product by Friday. Specifically: • Full-stack fluency — React, Node, Python, modern deployment (Vercel/Netlify, Supabase, serverless). You own the whole surface from UI to infrastructure, • AI-native — you've built with Anthropic and OpenAI APIs, you understand tool use, embeddings, MCP, and agentic workflows. You don't just prompt — you architect systems around LLMs, • Claude Code proficiency is essential — we build with it daily and we'll want to see examples of what you've shipped with it, • Genuinely interested in marketing and brand strategy — you want to understand why a campaign moves a brand, not just render the dashboard. The best code at Hotspex is written by people who understand the business problem, • Product-minded — you think in user outcomes, not tickets. You push back on bad specs and propose better solutions, • High ownership, low ego — direct access to the CEO, the IP, and the clients means you'll have outsized impact and outsized accountability Why this role is rare 💰 Stock options — you'll have equity upside in a company that's been profitable for 25 years and is now scaling its AI product suite into a category-defining SaaS business 🏢 Toronto-based, on-site — we believe the best products get built by people in the same room solving hard problems together. Being in Toronto is key — this is a hands-on, high-trust, high-speed environment 🚀 Fortune 100 clients from day one — your code ships to RBC, global CPG, major broadcasters, and government. Not a pre-revenue pitch deck 🤖 AI isn't a feature — it's the entire product thesis — every tool, methodology, and deliverable at Hotspex is being agentified. You'll be at the centre of that transformation 📐 25 years of proprietary IP — you're not starting from zero. You're building on top of the Human Motivation Framework — 177 personality attributes, 96 emotions, 8 motivational zones — a dataset most AI startups would kill for 🎯 No four-layer product org — you'll work directly with the CEO, strategists, and clients. Your decisions ship Qualifications • Proficient in front-end development: HTML, CSS, and modern JavaScript frameworks (React preferred), • Skilled in back-end development: server-side languages, database management, API design, • Proven full-stack delivery — end-to-end ownership from architecture to deployment, • Strong experience with Claude Code — show us what you've built with it, • Familiarity with cloud platforms, DevOps tooling, and CI/CD pipelines, • Experience with agile workflows and Git-based version control, • Excellent problem-solving instincts with a bias toward performance and scalability, • Strong communication skills — you'll present to clients, not just commit to repos, • Bachelor's degree in Computer Science, Software Engineering, or related field preferred — but shipped work matters more than credentials How to apply Send a short note and your best work to shane.skillen@hotspex.com — GitHub repos, shipped products, side projects, agent builds. If you've built something AI-powered that actually works in production, lead with that. We're 25 years old and moving faster than any startup. Come build the next chapter. • hotspex.com

ABOUT DESCARTES UNDERWRITING Join Descartes and contribute to our mission: Building Resilience in a World at Risk. Descartes is a corporate insurance group for worldwide companies and institutions. Descartes was born from a conviction that the growing complexity of corporate and climate risks demands a new approach to insurance. At the forefront of AI and Data analysis, Descartes utilises cutting-edge technology combined with a new generation of data sources, to model, assess and manage risks. Since 2019, Descartes has secured a leading position in parametric (re)insurance combining scientific & technological expertise with a new approach. _ce, also known as index-based insurance, indemnifies clients within days based on pre-defined payout structures when a specific triggering event occurs, the payout process is both fast and transparent. The company has been financed with over $141M by investors including Highland Europe, BlackFin, Serena, Cathay, Eurazeo and Battery Ventures. Our highly diverse and specialized team of 250+ people includes the largest modelling team in the industry featuring tech and modeling innovators, scientists in physics and climatology, as well as insurance veterans and underwriters. With a global footprint and strong US presence, Descartes serves a diverse portfolio of clients in more than 60 countries, with 20+ offices spread across Europe, Asia-Pacific, Latin and North America. Find out more_eers. ABOUT YOU Descartes Underwriting is seeking a Senior Underwriter/Data Scientist (Parametric Insurance) to join the Underwriting Team based in London. Reporting to the Underwriting Manager & Director of Descartes UK, you will be a key contributor to the development and deployment of climate risk models for the pricing, underwriting and monitoring of weather-related parametric policies for corporates and public entities. Your key missions will include: • Collaborate with the business team and brokers to understand client needs and risk transfer challenges to successfully underwrite new business and renew accounts;, • Conduct thorough analyses for product design and coverage structuring in order to meet the needs and expectations of the clients;, • Improve and develop pricing models in order to model the risk, underwrite policies for corporates and public entities, and monitor the portfolio performance and accumulation;, • Contribute to insurance proposal and underwriting documentation in order to finalise policies for corporate clients and public entities worldwide;, • Operate in the London market, leading discussions and projects with brokers and partners;, • Collaborate with various divisions of Descartes in order to sustain the growth of the portfolio (e.g. R&D teams, Legal, Operations, Risk Management);, • Technical & Business Leadership: help both the underwriting strategy and the review of the work conducted by Underwriting Data Scientists, providing guidance on technical modeling matters & business requirements. ABOUT YOU EXPERIENCE & QUALIFICATIONS • Graduated from a leading academic institution with a degree in mathematics, statistics, data science, physics or related;, • 4 years of significant experience minimum (post graduation) in data science or related;, • As a plus: track record of experience in leading a (small) team and managing business projects;, • As a plus: prior experience in structuring, pricing & underwriting parametric insurance covers for climate risks. SKILLS • Proficiency in Python (e.g. pandas, scikit-learn);, • Strong background in statistics and mathematics, showing clear understanding of probabilities;, • Eye for quality, autonomous and attention to detail;, • Fluency in English (written and verbal communication) is required;, • Good level of one additional language (e.g. Chinese, French, Italian, German, Spanish...) is a plus. MINDSET • Interested in insurance industry and climate risks modeling;, • Strong team spirit;, • Ability to work under pressure;, • Eagerness to solve complex problems and technical challenges;, • Rigorous, creative and meticulous mind;, • Strong desire to learn and acquire responsibility;, • Results oriented with the ability to work in a fast-paced and multi-cultural environment. WHY JOIN DESCARTES UNDERWRITING? • Opportunity to work and learn with teams from the most prestigious schools and research labs in the world, allowing you to progress towards technical excellence;, • Commitment from Descartes to its staff of continued learning and development (e.g. annual seminars, training etc.);, • Work in a collaborative & professional environment with great team spirit;, • Be part of a dynamic and diverse international team;, • Join a company with a clear and true purpose: help our clients be more resilient in face of climate risks;, • A competitive salary, bonus and benefits. At Descartes Underwriting, we value diversity whatever it may be. We are committed to fighting against all forms of discrimination and for equal opportunities. We foster an inclusive work environment that respects all differences. With equal skills, all our positions are open to people with disabilities. RECRUITMENT PROCESS • Step 1: HR Interview with our Talent Recruiter, • Step 2 : In person or remote manager interview (if necessary), • Step 3: Technical online test on Github, • Step 4: In person or remote tech interview, • Step 5: In person team interview to meet our team and discover our offices

Software Engineer London / Remote | Perm Role £80,000 - £100,000 Harrington Starr has partnered with a fast-growing fintech that’s transforming how businesses manage foreign exchange and treasury operations. Their technology enables clients to access institutional-grade execution, automate manual workflows, and gain greater transparency across their financial processes. Handling billions in transactions each year, they continue to expand their product offering and deliver cutting-edge solutions that help clients manage risk more effectively. The Role This is an excellent opportunity for an experienced Software Engineer — ideally with a background in financial technology or FX — to join a high-performing engineering team within a scaling fintech. You’ll be instrumental in developing and enhancing the company’s core trading and treasury systems, building new features, improving performance, and driving integration across their technology stack. Key Responsibilities • Develop and maintain software across the full stack, • Contribute to architecture and design decisions, • Support, optimise, and maintain production code, • Research and integrate new technologies, • Foster a culture of engineering excellence and continuous improvement Key Requirements • 5+ years’ experience working with C#/.NET, • Experience developing middle and back office systems, • Strong SQL skills, • Experience with cloud-native solutions (Azure or AWS), • Knowledge of event-driven, microservices architectures, • Full SDLC experience — from design through delivery and support, • Interest and utilisation of AI technologies Key Benefits • Join a fast-scaling fintech building next-generation financial technology, • Work on complex, high-impact systems handling large-scale transactions, • Collaborative, innovative, and growth-oriented team culture, • Hybrid working model with flexibility and autonomy Please apply via the link provided or reach out to me directly to book in a confidential phone call - ollie.bluck@harringtonstarr.com

Data Scientist I London – London / Reading, UK We are looking for a Data Scientist to join the Data Science Consulting Team based in Reading/London. There are already 25+ Data Scientists in the entire Data Science team, and we continue to grow apace! This new role is responsible for analyzing extremely large datasets, creating bespoke client reports, exploring new datasets, and building new algorithms to deliver services to clients. Responsibilities include: • Explore and extract data from multiple sources and interrogate this data to create meaningful insights, • Scope and define the approach to typical projects that Data Science Consulting Team works on, • Research, develop, and test solutions to problems that use both supervised and unsupervised learning models, • Discuss technical and analytical aspects of your work with clients, • Maintain and improve our machine learning pipelines, processes and products, • Use tools and languages such as Python, SQL and Tableau for reporting and analysis on our AWS data platform, • Work with our India based Data Engineering team and our Sales and Market Research Teams in the US and UK, • Have knowledge of a Broader set of techniques available for each type of ML problem. Typically having real in-depth knowledge in a couple of areas (e.g. Forecasting, Segmentation etc.)., • Critically think about what features are required to address a client business problem, and transform the data to achieve this, • Confidently be relied upon to create models that are robust and do not suffer from issues such as multicollinearity, overfitting, data leakage etc., • Have knowledge of advanced machine learning algorithms such as random forest, gradient boosting, and support vector machines, • Experience in feature engineering and selection techniques, • Understanding of model evaluation metrics and cross-validation techniques It’ll be helpful if you have: To be successful in this role, candidates should possess a blend of technical expertise, analytical acumen, and strong communication skills. The ideal candidate will also be a proactive problem-solver with a passion for learning and a collaborative spirit. This role is perfect for someone eager to contribute to a dynamic team and grow their career in the field of data science. A profound understanding of statistical methods will further enhance the candidate's ability to excel in this position. Requirements include: • 4+ years’ experience of working within the Data Science domain, • Proven experience of managing Data Science projects independently, • A desire to understand the why, and dig into data to understand what makes people tick, • A Bachelor’s degree in a subject such as Applied Mathematics, Statistics, Economics, Psychology, Sociology, Physics, Engineering, Computer Science, etc. (a Master’s Degree or higher is a plus), • Solid data analytics skills; proven proficiency with SQL, Python & Pandas is a must, • The ability to understand business problems, draw conclusions from data and recommend actions on how best to solve these problems, • Strong communications skills, and an ability to document requirements and work with other team members, • An appreciation for general Quant market Research techniques would be beneficial but not necessary, • Experience with TV viewing data, the TV industry and/or Media Industry experience; this isn’t a pre-requisite, but a genuine interest is, • A curiosity about data and enjoy building data visualisations that clearly articulate insight Our Vision: We are creating the most tech and data-forward research business on the planet, where primary research, AI, and big data work together to solve complex marketing, content, and product development challenges. Our Values: Radical Candor Caring personally while challenging directly – offering feedback that is honest and clear, but always rooted in genuine empathy and respect for the individual. Client Obsession Maintaining an unwavering focus on understanding and exceeding client needs and expectations, consistently delivering value, and building lasting partnerships through proactive communication, responsiveness, and a relentless commitment to client success. Unmatched Expertise A level of deep, specialised knowledge and skill that exceeds industry standards, allowing delivery of innovative, tailored solutions to complex client challenges, driving superior outcomes. Fostering growth for our talent and establishing a reputation for excellence.

AI Intern 6-Month Internship | London About Circeus Circeus is an AI-native holding that acquires and scales mission-critical B2B software businesses globally. We focus on high-retention, deeply embedded software across diverse verticals. Our model is powerful: acquire high-quality SaaS companies and accelerate their growth through a centralised AI platform, driving both revenue expansion and operational efficiency. We operate as long-term owners, continuously improving products through applied AI. The Role This is a six-month internship based in London, built for someone who wants to apply AI to real business problems rather than study them in the abstract. You will sit close to our central AI team and work on tools and workflows that reach across our portfolio and the businesses they serve. You will move between experimentation and delivery: prototyping with large language models, testing what works, and shipping the things that earn their place. The work is hands-on and outcome-led, and you will see the impact of what you build quickly. This suits someone early in their career who is technically capable, genuinely curious about applied AI, and comfortable working without a detailed brief. You bring the questions and the energy; we bring the surface area and the mentorship. What You'll Do • Build and test prototypes using large language models to solve concrete problems across the portfolio, • Translate messy business requirements into clear, workable AI experiments, • Support the central AI team in shipping internal tools and customer-facing features, • Evaluate model outputs for quality, accuracy, and reliability, and iterate on prompts and pipelines, • Automate repetitive workflows so operators can focus on higher-value work, • Document what you build so others can use, extend, and trust it, • Research emerging AI techniques and bring practical recommendations back to the team, • Collaborate with engineers, product, and operators to take ideas from concept to use What We're Looking For • Currently studying or recently graduated in computer science, engineering, data, or a related field, • Working knowledge of Python and a willingness to learn fast on the job, • Hands-on familiarity with large language models and prompting, through study or personal projects, • Strong analytical thinking and the ability to break vague problems into testable steps, • Clear written communication and the habit of documenting your work, • High agency and comfort operating in ambiguity Nice to Have • Small projects or tools you have built that other people have actually used, • Exposure to B2B SaaS or data-heavy products, • Familiarity with APIs, version control, or basic data pipelines, • A track record of shipping side projects end to end Why Circeus • Apply AI across a broad portfolio of mission-critical software, not a single product, • See measurable impact from your work in weeks, not quarters, • Learn directly from a central AI team that ships, • Real ownership and pace from day one, • A six-month runway to do work that genuinely counts Ready to Build With Us? If you're excited about applying AI to real-world challenges, learning from experienced builders, and shipping work that creates measurable impact, we'd love to hear from you!

Head of R&D - Sensing Science Location: Dagenham, Essex (2–3 days onsite) Salary: £80,000–£90,000 + benefits An innovative, venture-backed technology company developing next-generation intelligence and sensing systems is seeking a Head of R&D to lead its sensing strategy and scientific function .Having recently secured oversubscribed seed funding and with commercial products already in market, the business is scaling rapidly across applications including pest control, agriculture, animal health, environmental monitoring and future public health solutions . The Opportuni tyThis is a senior technical leadership role for an expert in sensing technologies who can bridge the gap between scientific research, product development and data-driven decision makin g.You'll work closely with engineering, firmware, software and data science teams to define how sensors are selected, tested, integrated and optimised within commercial product s. Key Responsibilit • iesLead the company's sensing science and R&D strat, • egyManage and mentor multidisciplinary scientific te, • amsDefine experimental design and testing methodolog, • iesGuide sensor selection and performance evaluat, • ionCollaborate with engineering teams on sensor integrat, • ionWork with data scientists to improve sensor interpretation and ML mod, • elsSupport the development of new sensing products and applicati, • onsInfluence future technical direction and team gro wth About YouWe're looking for a scientifically credible leader with deep expertise in sensing technologies and experience translating research into real-world produ cts.Relevant backgrounds may incl • ude:Gas, chemical or VOC sen, • singSensor fusion and embedded sensing sys, • temsAnalytical chemistry or chemical eco, • logyMachine learning for sensor sys, • temsScientific R&D leader ship Experience working with multidisciplinary engineering teams and commercialising sensing technologies is highly desir able. The company is open to candidates from industry, research organisations or academia who combine scientific depth with practical product thi nking. Wh • y Join?Shape a unique sensing and AI technology p, • latformWork on cutting-edge sensor and machine learning appli, • cationsJoin a well-funded business with commercial t, • ractionInfluence company strategy and future product deve, • lopmentContribute to technologies with significant long-term impact across multiple ind ustries

About the Company Electronic circuit boards are at the core of current and future inventions - space travel, medical robotics, autonomous transportation, augmented reality, bio-engineering. Yet today designing an electronic circuit board is an extremely manual, long and tedious process. At Circuit Mind we believe that this is wrong and we are on a mission to fix it, triggering the future of hardware design. To achieve its mission, Circuit Mind has created a library of electronic component digital twins. Each digital twin models the data of the component’s datasheet. These digital twins are then utilised by Circuit Mind’s platform to generate circuit designs that align with user specifications. We are creating an entirely new software engine for circuit boards, that takes as inputs the requirements of a circuit board and automatically outputs a complete design, ready for manufacture. About the Role Your mission is to drive the successful delivery of customer electronics design projects using Circuit Mind’s ACE platform; either enabling end users to execute projects independently or taking full ownership of execution yourself. Responsibilities • Assess design requirements and leverage your expertise to guide the users in generating those designs in Circuit Mind’s ACE platform., • Lead and perform AI-assisted customer projects using Circuit Mind’s ACE platform to demonstrate faster, higher quality design outcomes than the traditional manual design process., • Run training and support meetings with users to ensure they effectively achieve their objectives using Circuit Mind’s ACE platform., • Research and identify new components that meet customer project requirements to be added to the Circuit Mind platform., • Collaborate with the customer success and software team to troubleshoot issues with designs run user issues, manage and execute the resolution of these issues and communicate the resolution to customers promptly., • Collaborate with the software and product team to identify key functionalities that can be developed to improve the value of ACE., • To fulfil the above, you’ll develop an intimate understanding of the abstractions and algorithms that ACE uses to generate circuit designs. Qualifications and Required Skills • 5+ years experience in designing electronic circuit boards, • Ability to understand user needs and challenges and to effectively devise and articulate tailored solutions, • Strong communication skills, • Strong attention to detail, • Thorough understanding of low level digital electronics principles Preferred Skills • Basic software development experience, • Experience in a Software as a Service (SaaS), Design Software (ECAD, MCAD, Simulation etc.) or startup company Pay range and compensation package • Collaboration with a friendly world-class team., • Above market rate salary and meaningful equity., • 25 days of annual holidays plus bank holidays., • Flexible working hours with two days a week in the office., • 5 weeks per year to work wherever you want in the world., • London Bridge office., • Extended parental leave., • Annual Retreat., • Learning and development budget to support your professional development. Equal Opportunity Statement At Circuit Mind we value diversity and foster an inclusive environment. If you have an additional necessity or disability that requires accommodation, please let us know so we can adjust the interview process to your needs. We also ensure that Circuit Mind’s straight-forward and efficient hiring process respects your time.

Data Scientist - CricViz - London To apply, please click here: https://forms.monday.com/forms/5aa4319d60fcf71eef3b4d7a1e125b4f?r=use1 CricViz has established itself as a market leader in the collection, analysis and dissemination of data across the world’s leading cricket competitions, with the largest and most sophisticated database in world cricket. Our work spans several verticals, including Performance Analysis, Broadcast and Media, and Fantasy and Gaming platforms. Customers include the BBC, Sky, Sony, ECB, and IPL-winning RCB. Job Description: We are seeking a highly skilled Data Scientist to join the CricViz team. This pivotal role focuses on the end-to-end development of proprietary metrics and predictive models derived from the world’s most sophisticated cricket databases. You will lead the transformation of complex, high-frequency tracking data into market-leading, commercial-grade analytical products. Your work will empower sophisticated professional clients by surfacing match state insights and player performance indicators not captured by conventional analysis. The ideal candidate is an experienced Data Scientist/Quantitative Analyst with strong problem-solving skills, capable of working professionally within an evolving and fast-paced environment. Key Responsibilities: ● Metric Innovation: Research and develop new, high-value derived metrics from raw ball and player tracking data, such as pitch behavioural characteristics and advanced fielding analysis. ● Bespoke Client Collaboration: Act as the lead technical point of contact for private clients, working to develop custom predictive models and niche datasets tailored to their specific analytical requirements. ● Productisation of Data: Translate raw tracking data into productionised Data Science models that provide a clear commercial advantage. ● Model Assurance & Validation: Oversee rigorous back testing and optimisation cycles to ensure all models maintain the high level of accuracy and reliability required for professional-grade execution. ● Cross Functional Integration: Work closely with Engineering and Product teams to ensure seamless delivery of these complex feeds into client workflows, while maintaining the integrity of our internal IP. Key Requirements ● Technical Expertise: A minimum of 3 years experience in data science, with a proven track record of handling large-scale, high-granularity sports datasets and feeds. ● Predictive Modeling: Deep proficiency with the PyData stack (pandas, numpy, scikit-learn, XGBoost) and advanced machine learning methods including neural networks and random forests. ● Analytical Domain Knowledge: A professional-level understanding of cricket match dynamics and the factors influencing match state outcomes. Nice-to-haves ● Tracking Data Experience: Prior experience working with high-frequency tracking or GPS data to create aggregated, value-add insights. ● Strategic Communication: Ability to translate highly technical modeling concepts into clear commercial value propositions for sophisticated stakeholders. ● Discretion & IP Management: Experience working in sensitive commercial environments where protecting proprietary modeling work is paramount Equality and Diversity CricViz is committed to building an open and inclusive culture that supports personal development and learning. Ellipse believes in the principle of equal opportunity in employment and its employment policies for recruitment, training, development and promotion despite any differences based on individual grounds of race, colour, nationality, religion or belief, sex, sexual orientation, marital status, age, ethnic and national origin, disability or gender reassignment. Benefits ● 25 days holiday (plus bank holidays) ● Hybrid working with regular time spent at our offices in London ● Company pension scheme ● Eye Test Contribution ● Life Insurance ● Training and Development Opportunities About Ellipse CricViz is part of Ellipse, a leading sports data and analytics company comprising CricViz, FootballViz, Horse Racing, RugbyViz (Oval and Stuart Farmer Media Services), and TennisViz. Working with the world’s biggest broadcasters, professional teams, and rights holders, we simplify complex data to engage a broad and diverse audience and tell better stories about the sports we love To apply, please click here: https://forms.monday.com/forms/5aa4319d60fcf71eef3b4d7a1e125b4f?r=use1

About the Role JD.com seeking an experienced AI Engineer to join our growing technical team at Joybuy (_). Joybuy is JD.com’s European full-category online retail brand designed to bring customers a faster, more convenient, and cost-effective shopping experience. Offering same-day and next-day delivery across the UK, Joybuy combines speed, reliability, and affordability to meet the needs of modern shoppers. In this role, you will design, develop, and deploy AI/ML solutions that power Joybuy. You will work at the intersection of machine learning, engineering, and product, building intelligent systems that drive personalisation, search, recommendation, content understanding, and operational efficiency at scale. Key Responsibilities • Design, build, and maintain AI/ML models and pipelines for Joybuy's international platform, covering areas such as personalisation, recommendation, NLP/LLM applications, computer vision, and fraud detection., • Own end-to-end machine learning lifecycle from problem formulation and data exploration to model training, evaluation, deployment, monitoring, and iteration in production., • Collaborate closely with product managers, software engineers, and data teams across Europe and China to align AI capabilities with business goals and regional market needs., • Research, adopt, and promote state-of-the-art AI/ML technologies and methodologies, contributing to the team's technical roadmap and architectural vision., • Build and optimise machine learning infrastructure and tooling, including feature stores, model serving platforms, A/B testing frameworks, and CI/CD pipelines for machine learning., • Work onsite in Green Park, London. Minimum Qualifications • Bachelor's degree in Computer Science, Mathematics, Statistics, Machine Learning, or a related technical field., • 3+ years of hands-on experience in building and deploying machine learning models in production environments., • Strong programming skills in Python, with proficiency in machine learning frameworks such as PyTorch, TensorFlow, or JAX., • Solid understanding of modern machine learning techniques including deep learning, NLP, recommendation systems, or LLMs., • Experience with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker, Kubernetes)., • Experience with MLOps tooling and practices — model versioning, experiment tracking, CI/CD, A/B testing., • Proactive, fast learner, and highly collaborative, with strong communication, analytical, and problem-solving skills, capable of independently identifying and resolving complex technical challenges., • Effective communication skills in English. Preferred Qualifications • Work experience in large-scale e-commerce companies or high-traffic consumer-facing platforms., • Experience with LLM fine-tuning, RAG architectures, or generative AI applications., • Experience building multilingual or cross-market AI systems for European/global audiences., • Experience with real-time inference systems, feature engineering at scale, or online learning., • Publications at top-tier ML/AI conferences (NeurIPS, ICML, KDD, ACL, CVPR, etc.) or significant open-source contributions., • Effective communication skills in Chinese. What We Offer: • A dynamic and challenging work environment in a leading global e-commerce company with a fast-growing international business., • The opportunity to work with a diverse international team spanning London and Beijing, making a significant impact on JD.com's global AI strategy., • Competitive salary and benefits package, including health insurance, retirement plans, and performance bonuses., • Exposure to massive-scale data, complex cross-border e-commerce challenges, and real-world AI problems that impact millions of users. JD.com (NASDAQ: JD and HKEX: 9618), also known as JINGDONG, has evolved from a pioneering e-commerce platform into a leading technology and service provider with supply chain at its core. Renowned for its supply chain innovation and excellence, the company has expanded into sectors including retail, technology, logistics, healthcare, and more, aiming to transform traditional business models with cutting-edge digital solutions. Know more about us: _ JD.com is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

About us We are a London-based, VC-backed pre-seed startup working with mechanistic interpretability to provide model security. Telluvian — AI you can trust. The role We are looking for a talented machine learning researcher and software engineer who can own product development from inception to deployment. You will be working as part of a small team of up to 10 people. The working hours are flexible, but you will be expected to work from the London office at least 4 days a week. The start date is flexible — we have mid-July in mind. What you'll do • Machine learning research, specifically on language model interpretability, • Building and maintaining ML tools in Python, • Oversee inference pipelines, • Software product developmentMust-haves, • Experience in software engineering, • Ability to work independently, • Proven research skillsNice-to-haves, • Experience in DevOps, • Experience with standard Python frameworks — NumPy, PyTorch, Transformers, • Experience in model interpretability research (welcome but not required)What we offer, • Ownership and responsibility over the full lifecycle of product development, • Meaningful equity in an exciting startup, • Flexible, fast-paced and independent working, • Reasonable freedom in research and ability to publish findingsHow to apply Please submit a CV and cover letter to Careers@telluvian.ai. Following the application stage there will be an initial screening interview followed by two technical interviews. As part of your email, please include: • Your available start date, • Confirmation that you have the right to work in the UK, • If you have hands-on experience with language model interpretability research

The Challenge Cardiometabolic conditions will impact 80-90% of people throughout their lifetimes, representing the leading cause of death globally and an important risk factor for neurodegenerative diseases and cancer. Sustainably addressing these diseases requires breakthrough therapeutics, AI/ML innovation, and transformative business models that translate clinical outcomes into economic value. The Opportunity This is an opportunity to build the ML and AI foundations of Onsera Health's breakthrough healthcare platform. Backed by Population Health Partners (PHP)—the proven venture platform behind Metsera and Corsera Health—we're building the future of population health management. As a Senior Machine Learning Engineer, you will sit at the intersection of data science, platform engineering, and production systems. Your mission is to design and operate the foundations that allow ML, analytics, and agentic AI systems to move safely and reliably from experimentation into regulated healthcare production environments on Google Cloud Platform. You will be the primary interface between Data Science and Platform Engineering, enabling rapid iteration while enforcing production and compliance standards. Responsibilities • Design and implement Onsera's agentic AI platform – architect LLM/agent framework selection, standardized patterns for tools, memory, guardrails, evaluation, and observability, • Define MLOps protocols for agentic systems – environment separation, versioning of prompts, tools, and policies, cost controls, rate-limiting, and fail-safe mechanisms, • Bridge data science and platform engineering – translate experimentation needs into GCP infrastructure, scalable compute patterns, and reproducible development environments, • Productionize data science code – convert research-grade notebooks into tested, modular, production-grade Python services, batch and streaming pipelines, and scheduled workflows, • Build production-grade data pipelines – develop idempotent, observable, and cost-efficient pipelines using BigQuery, Airflow, Google Workflows, and Cloud Run, • Implement CI/CD for ML workloads – automated validation, monitoring, rollback strategies, and model lifecycle management, • Establish reliability and governance – logging, metrics, tracing, data quality checks, and auditability for model decisions, data lineage, and agent actions What We Offer • Mission-driven work addressing critical public health and healthcare economics challenges, • Ground-floor opportunity to build the ML/AI infrastructure for a breakthrough healthcare platform, • Partnership with a world-class team of industry leaders, innovators, technologists, bioscientists, and clinicians from PHP and beyond, • A fast-paced, dynamic, and highly collaborative work environment, • Competitive salary and benefits package, including participation in our equity program Minimum Qualifications • 5+ years of experience in machine learning engineering, data engineering, or a related field, • Strong Python engineering skills with production-quality, typed, and tested code, • Track record productionizing ML models in batch and/or real-time environments, • Hands-on experience with analytical data warehouses (BigQuery or equivalent) and workflow orchestration (Airflow or similar), • Experience deploying ML systems on GCP, including Cloud Run, GCS, and IAM, • Infrastructure-as-Code experience (Terraform or equivalent), • Experience with feature engineering, model lifecycle management, and ML evaluation, • Demonstrated ability to collaborate across Data Science, Product, and Platform teams Preferred Qualifications • Experience with LLMs, agent frameworks, or AI orchestration systems in production, • Familiarity with prompt management, tool calling, evaluation, and AI safety patterns, • Healthcare or regulated-industry experience, including familiarity with HIPAA or SOC-2 compliance, • Experience with claims data, EHR-derived datasets, or real-world evidence, • Strong written and verbal communication skills with technical and non-technical stakeholders About Onsera Health We are an early-stage health AI company revolutionizing cardiometabolic care and population health economics connected to weight loss. Our unique position within the PHP ecosystem provides: • Venture track record: A proven track record of success in building biotech and healthcare companies, • Deep capital: Funding and resourcing to support deep tech and scientific R&D—and to drive growth, • Strategic guidance: Direct access to industry pioneers (including founders of The Medicines Company and Metsera), healthcare experts (including leaders in virtual care, former FDA commissioners), strategists (McKinsey/QuantumBlack alumni), and world-class scientific talent, • Expert network: Established connections across pharma, payers, and providers, • Startup agility: Ownership in the venture, founder mentality, and ground-floor impact About PHP Population Health Partners (PHP) is a premier investment firm established in 2020, aimed at transforming health outcomes for large populations. With offices in New York and London, PHP combines financial resources with industry-leading capabilities and technology. The firm's incubation portfolio includes Metsera and Corsera Health. Leadership: Led by industry veterans including Clive Meanwell (The Medicines Company), Chris Cox (The Medicines Company), and Whit Bernard (Metsera), bringing decades of founder experience and operational excellence in biopharma and healthcare, and Roy Berggren, 30+ year McKinsey Healthcare leader.

Research Engineer (RL Environment) Abou t Agents do not improve in a vacuum. They need environments to operate in, tasks to solve, and clear signals for what good looks like. This role exists to build that laye r. This is a VC-backed challenger lab building state-of-the-art computer-use agen ts. Recent progress has made performance highly competitive on computer-use style benchmarks, and the company has launched a more visible product layer to make the technology easier to demonstr ate. The team you'd be joining builds the playground itself: synthetic websites, structured workflows, task sets, and evaluation environments where agents can act, fail, retry, and l earn. What you • ’ll doBuild training and evaluation environments for agentic s, • ystemsCreate synthetic websites, workflows, and task suites that reflect useful real-worl, • d workDefine reward signals and success criteria for agent behaviour in structured enviro, • nmentsTurn documentation, tools, and existing workflows into interactive agent, • tasksImprove the realism, coverage, and difficulty of training environments ove, • r timePartner with research teams to convert product failures into better environments and, • tasksBuild internal tooling to generate, run, and measure large task sets re liably What you’ • ll needStrong software engineering skills, ideally in Python plus web or backend, • systemsExperience with RL, reward design, or synthetic data gen, • erationExperience building internal tools, simulations, evaluation systems, or synthetic envir, • onmentsAbility to structure ambiguous workflows into clear tasks with measurable o, • utcomesGood product instinct for what makes an environment realistic and useful for, • agentsComfort working at the intersection of engineering, research, and experime, • ntationHigh ownership and a practical mindset Shortlisted candidates will be contacted within 4 8 hours.

Staff Product Engineer - £150,000 + Equity Location: Shoreditch, London About the Opportunity A high-growth AI-first law firm is looking to transform the UK conveyancing market, starting with the legal process behind every property transaction. Currently, conveyancing is slow, opaque and unreliable, with one in three transactions falling through and complaints significantly higher than in other legal sectors. Many firms still rely on outdated manual processes. This business aims to disrupt a £2.5 billion market by combining deep domain expertise with cutting-edge AI technology, with ambitions to expand into a full-service, AI-powered law firm with global reach. The Role The firm is seeking a Staff Product Engineer to join as an early member of a small, high-calibre engineering team. This is a product-first role: from day one, the engineer will help shape product direction, speak directly with users, define ambiguous requirements and ship features to production quickly. The team values engineers who take ownership of outcomes and think beyond tickets. Candidate Profile • Experience in early-stage startups, influencing product strategy, • User-problem focused, not purely technical solution-oriented, • Experience scaling TypeScript codebases, • Comfortable building AI agents or LLM-powered systems beyond simple prompting, • High attention to detail and pride in engineering craft, • Comfortable operating in ambiguity and moving quickly Bonus points for: • Academic or applied experience in machine learning, • Experience bridging research and production systems What’s on Offer • £150,000 depending on experience, • Meaningful early-stage equity, • 5% employer pension contribution, • Comprehensive private medical cover including dental and optical, • 25 days holiday plus bank holidays, • Choice of AI tooling

VP / Director of Sensing Science Location: Dagenham, East London (2–3 days onsite) Salary: £80,000 – £90,000 + benefits An innovative technology company developing next-generation odour intelligence and sensing systems is looking for a VP / Director of Sensing Science to lead and shape its sensing and scientific R&D capability. This is a rare opportunity to join a rapidly growing, venture-backed business that combines advanced sensor technology, AI/ML, data science and chemical sensing to build products capable of detecting and interpreting biological and environmental signals in ways not previously possible. The company has recently completed an oversubscribed seed funding round and already has commercial products in the market, alongside an expanding pipeline across pest control, agriculture, animal health and future public health applications. What the business does The company develops intelligent sensing platforms that analyse volatile organic compounds (VOCs) and odours using combinations of: • Gas and chemical sensors, • Sensor fusion, • Embedded systems and IoT hardware, • Machine learning and AI classification, • Data science and large-scale data platforms Their technology is already being used commercially and the business is now scaling both its R&D capability and product development pipeline. Projects range from smart pest monitoring systems through to animal health diagnostics and emerging human health applications. The Role This role will sit at the centre of the company’s scientific and sensing strategy. You will lead the sensing science and R&D direction of the business, bringing greater scientific rigour, technical leadership and coordination across sensing, experimentation, hardware integration and data science. You’ll work closely with engineering, firmware, software and data science teams to guide how sensors are selected, tested, integrated and optimised within real-world products. This is a highly technical leadership role rather than a pure management position. The company is specifically looking for someone with deep sensor expertise who can bridge the gap between: • Sensor technologies, • Experimental design, • Product development, • Data interpretation, • Machine learning outputs, • Hardware integration You’ll help shape how sensing technologies are deployed across a broad range of applications and products. What You’ll Be Doing • Leading the company’s sensing science and R&D function, • Managing and mentoring multidisciplinary scientific teams, • Defining experimental design and testing methodologies, • Guiding sensor selection for new product applications, • Evaluating sensor performance, limitations and deployment suitability, • Working closely with hardware and engineering teams on sensor integration, • Collaborating with data scientists to interpret sensor outputs and improve ML models, • Helping turn early-stage concepts into scalable commercial products, • Supporting the development of the company’s growing sensing and AI platform, • Influencing future hiring and technical direction within the business The role will also involve working with external partners and customers on “discovery” projects, where the company develops bespoke sensing solutions for new commercial applications. Examples of projects include: • Pest detection and monitoring, • Agricultural sensing, • Companion animal diagnostics, • Environmental monitoring, • Public health and disease detection, • Odour and VOC analysis What They’re Looking For The ideal candidate will combine strong scientific credibility with practical product development experience. You do not need to be an expert in every area, but you must have deep expertise in sensing technologies and understand how sensor data is used in real-world systems. Likely background areas: • Sensor technologies, • Gas sensing, • Chemical sensing, • VOC sensing, • Embedded sensing systems, • Sensor fusion, • Analytical chemistry, • Chemical ecology, • Machine learning for sensor systems, • Scientific R&D leadership Experience they are particularly interested in: • Managing scientific or technical R&D teams, • Working with multidisciplinary engineering teams, • Productising sensing technologies, • Translating research into commercial products, • Working with data science / ML teams, • Designing experiments and interpreting scientific data Sensor technologies of interest include: • Metal oxide gas sensors, • MEMS sensors, • Electrochemical sensors, • PID sensors, • FBAR sensors The company understands this is an extremely niche hire, so they are open to candidates from academia, research organisations or commercial environments - provided you can combine scientific depth with practical, hands-on product thinking. Curiosity, adaptability and the ability to learn quickly are considered just as important as ticking every technical box. Working Arrangement • Based in Dagenham, Essex, • 2-3 days per week onsite, • Some travel to Scotland to work with the data science team, • Hybrid flexibility available Why Join? • Opportunity to shape a genuinely unique sensing technology platform, • Work on cutting-edge AI and sensor-driven products, • Join a business already generating commercial revenue, • Significant influence over technical direction and future growth, • Diverse applications across multiple industries, • Fast-growing, well-funded technology environment, • Chance to work on technology with major long-term public health potential

London (Farringdon) We’re building LLM-powered workflow tools to support investment research for private market investors, used by leading private equity and consulting firms globally. The company is profitable, bootstrapped, and growing quickly, with a team of 30+ across London, NYC, and Sydney. The Role This is a high-ownership backend engineering role focused on building and scaling systems that power an AI-driven research platform. You’ll work across backend systems, data pipelines, integrations, and internal infrastructure — partnering closely with product, commercial, and operations teams to automate workflows and improve decision-making. What You’ll Do • Design and scale backend systems supporting LLM workflows, vector search, and orchestration, • Build data pipelines and internal platforms integrating product, CRM, and financial systems, • Develop automation and internal tooling to improve company efficiency, • Own systems end-to-end — from architecture to production, • Contribute to engineering culture and technical direction Example Projects • Customer Health System: unify product usage, CRM, and feedback into actionable insights, • User Feedback Pipeline: process calls with LLMs to extract themes and product insights, • Billing Infrastructure: build systems for complex B2B pricing and automated invoicing, • Internal Data Platform: create reliable pipelines and APIs for reporting and operations About You • Based in London (or willing to relocate), • Experience owning backend systems end-to-end, • Strong in Python or TypeScript, • Strong PostgreSQL and familiarity with modern data platforms (Snowflake, BigQuery, etc.), • Comfortable working in fast-moving startup environments, • Enjoy translating business problems into scalable technical systems Nice to Have • Experience with AI/LLM workflows or internal platforms Benefits • Private health insurance, • Gym membership, • Dinner when working late, • Team off-sites For more info or to apply, please share your CV to gjurgjica@mentortalent.ie.

Senior AI Engineer London / Remote UK £90,000 - £140,000 + Equity We're working with a venture-backed AI startup operating in stealth mode, building autonomous systems capable of executing high-value business workflows with minimal human intervention. Backed by leading investors and founded by experienced operators from AI research and high-growth technology businesses, the company is developing next-generation agent architectures that combine reasoning, planning, retrieval, memory, and tool use to solve complex enterprise problems. The Opportunity As one of the early AI Engineering hires, you'll help design and build the core intelligence layer powering the product. You'll work across: • Agent frameworks and orchestration systems, • LLM evaluation and benchmarking, • Retrieval and knowledge systems, • Model optimisation and inference, • AI product development, • Scalable backend infrastructure What You'll Need • Strong software engineering experience in Python, • Commercial experience building AI or ML products, • Experience with LLMs, RAG, agents, evaluation frameworks, or fine-tuning, • Familiarity with cloud platforms and modern engineering practices, • Ability to thrive in a fast-moving startup environment Nice to Have • Experience with multi-agent systems, • MLOps or platform engineering experience, • Research background in NLP, reinforcement learning, or AI systems, • Experience deploying AI products at scale Why Join? • Early-stage ownership and influence, • Complex technical challenges with real-world impact, • High-calibre engineering team, • Competitive salary and meaningful equity package, • Opportunity to help define the future of AI-native software

Software Engineer London | Remote | Perm Role £70,000 - £100,000 Harrington Starr has partnered with a fast-growing fintech that’s transforming how businesses manage foreign exchange and treasury operations. Their technology enables clients to access institutional-grade execution, automate manual workflows, and gain greater transparency across their financial processes. Handling billions in transactions each year, they continue to expand their product offering and deliver cutting-edge solutions that help clients manage risk more effectively. The Role This is an excellent opportunity for an experienced Software Engineer — ideally with a background in financial technology or FX — to join a high-performing engineering team within a scaling fintech. You’ll be instrumental in developing and enhancing the company’s core trading and treasury systems, building new features, improving performance, and driving integration across their technology stack. Key Responsibilities • Develop and maintain software across the full stack, • Contribute to architecture and design decisions, • Support, optimise, and maintain production code, • Research and integrate new technologies, • Foster a culture of engineering excellence and continuous improvement Key Requirements • 5+ years’ experience working with C#/.NET, • Experience developing front and middle office systems, • Strong SQL skills, • Experience with cloud-native solutions (Azure or AWS), • Knowledge of event-driven, microservices architectures, • Full SDLC experience — from design through delivery and support Key Benefits • Join a fast-scaling fintech building next-generation financial technology, • Work on complex, high-impact systems handling large-scale transactions, • Collaborative, innovative, and growth-oriented team culture, • Hybrid working model with flexibility and autonomy Please apply via the link provided or reach out to me directly to book in a confidential phone call - ollie.bluck@harringtonstarr.com

During my calls with this YC client, one of their engineers told me he had barely written code for weeks. Instead, he’d been finding users, running discovery, analysing what he heard, and working with the CEO on what to build next. That told me almost everything I needed to know. This is a product engineering role for someone who wants ownership end-to-end. You’ll be expected to understand the customer, think clearly about the business problem, build the solution, and stay close enough to the outcome to know whether it worked. The company builds AI tools for qualitative research, helping teams make sense of customer interviews, focus groups, and open‑ended surveys. They already have strong traction, and they are now pushing into a bigger opportunity around helping more teams do research well at scale. They are looking for a strong generalist, not a narrow implementer. The right person will move comfortably between user context, product thinking, and technical execution, and will be happy working in a team that values direct feedback, low ego, and high ownership. You’ve either founded something before, been an early engineer at a startup, or can clearly demonstrate founder‑like ownership in previous roles (shipping products end‑to‑end, talking to users, driving growth). What they want • 2+ years building and shipping web products., • Strong React and TypeScript., • Comfort owning work from discovery to delivery., • Confidence using AI tools without losing code quality or clarity on what was shipped and why., • Product instincts, front‑end strength, or startup/founder experience are a plus. This is a hybrid London role with Tuesdays and Thursdays in the office, and the team generally leans in‑person. It will suit someone who likes being close to the work, the users, and the team. Email anika@seekr.inc with the subject “Not just another engineer”. A CV is helpful, but it does not need to be polished. A few thoughtful lines on why the role appeals to you, plus a link to something you’ve built, is enough. Every email application will be read by a human and will get a response. LinkedIn applications may not all be reviewed.

Head of Platform Engineering (AI and Synthetic Data) London (Hybrid) £120,000 to £150,000 + bonus + benefits This is a unique opportunity to lead the build and scale of a next generation AI platform focused on synthetic data and large language models. You will shape the engineering direction, influence how machine learning systems are deployed at scale, and play a key role in defining how modern data products are delivered across a global organisation. The Company They are a global organisation operating at the intersection of data, technology, and insights. With a strong investment in AI and advanced analytics, they are developing innovative capabilities that combine machine learning, privacy, and research methodologies. Their work is grounded in scientific rigour and real-world impact, supported by collaborations with leading academic institutions. The culture is collaborative and cross-disciplinary, bringing together engineering, data science, and research expertise. The Role You will lead the engineering function for a synthetic data platform, setting technical direction and building a high-performing, scalable team. • Define and own the platform architecture for a cloud-native AI and ML environment, • Lead, mentor, and grow a team spanning software engineering, data engineering, and MLOps, • Establish best practices across software development, CI CD, and platform reliability, • Standardise ML workflows across data, training, evaluation, and deployment, • Build a secure, reliable, and auditable platform for synthetic data generation, • Enable self-serve capabilities through APIs, tooling, and clear documentation, • Embed privacy by design and governance controls aligned to sensitive data use, • Partner closely with data scientists, product, and research teams to productionise models, • Drive cost-efficient cloud usage and optimise performance of GPU-heavy workloads Your Skills and Experience • Proven leadership experience managing and scaling cross-functional engineering teams, • Strong background in designing distributed, asynchronous, and high-availability systems, • Expertise in cloud platforms such as GCP and container orchestration with Kubernetes, • Experience building or leading ML platforms, pipelines, or MLOps environments, • Familiarity with modern AI systems including LLMs, vector databases, or deep learning frameworks, • Strong understanding of data privacy, security, and governance within enterprise environments, • Ability to bridge technical and non-technical stakeholders and influence at senior levels, • Hands-on technical background with the ability to guide architectural decisions What They Offer • Competitive salary with performance-based bonus, • Hybrid working model with flexibility in team collaboration, • Opportunity to shape a high-impact AI platform from an early stage, • Clear progression as the team grows and the platform scales, • Access to a collaborative and forward-thinking engineering environment How to Apply If you are interested in leading a platform at the forefront of AI and synthetic data, please apply with your CV.

Overview We are partnering with an innovative deep-tech company developing next-generation photonic and quantum-enabled computing systems. The team is looking to hire a hands-on engineer to support the build, integration, testing, and deployment of advanced optical and opto-electronic hardware systems. This is an opportunity to work at the intersection of photonics, quantum technologies, and high-performance computing, helping to transform cutting-edge research into robust, customer-ready products. Key Responsibilities • Own the assembly, integration, commissioning, and ongoing support of complex photonic and opto-electronic subsystems., • Diagnose hardware and system-level faults, perform root-cause analysis, and implement reliability improvements., • Develop and improve assembly, testing, maintenance, and service procedures to support scalable product deployment., • Collaborate closely with research and engineering teams to transition new technologies from R&D into manufacturable products., • Support customer installations, upgrades, and technical handovers when required., • Work with suppliers and vendors to source components and identify opportunities for performance improvements, simplification, and cost reduction., • Contribute to system documentation, tooling, and process optimisation initiatives. Requirements • Degree (or equivalent experience) in Physics, Engineering, Photonics, Optics, or a related discipline., • Proven experience building, integrating, and troubleshooting complex hardware systems involving optics, electronics, and software control., • Hands-on experience working with fibre-optic components and precision optical systems., • Strong practical understanding of photonic or opto-electronic instrumentation., • Programming experience in Python and/or C++ for instrumentation, automation, data acquisition, or system analysis., • Strong troubleshooting and problem-solving skills with a structured, methodical approach., • Comfortable working in a fast-paced engineering environment with evolving priorities., • Excellent communication skills and a collaborative mindset.Desirable Experience, • Quantum optics, quantum technologies, or advanced scientific instrumentation., • Optical communications, photonic integrated circuits, or laser systems., • Supply chain, procurement, or bill-of-materials (BOM) management., • Regulatory or compliance experience (e.g. CE, UKCA, FCC)., • Data centre, HPC, or large-scale hardware deployment environments., • Experience within a startup, scale-up, or other deep-tech organisation. Benefits • Opportunity to work on cutting-edge photonic and quantum technologies with real-world commercial applications., • Exposure to multidisciplinary teams spanning physics, engineering, software, and product development., • Hybrid working environment in Central London., • Competitive compensation package., • Significant opportunities for technical growth and career progression within a rapidly expanding deep-tech organisation

🚨 We’re hiring: Computer Vision / Senior Autonomy Engineer | Applied Intuition | London We’re continuing to build out the Applied Intuition team here in London, and one of the key roles we’re hiring for is a Computer Vision / Senior Autonomy Engineer. This is a hands-on role for someone who wants to build, test and deploy real autonomy capability into mission-critical defence environments. This is not a pure research role, and it is not just model prototyping either. We’re looking for someone who can take ML and computer vision models through the full development cycle, from prototyping and evaluation through to optimisation, deployment and system-level performance. The role will involve things like: • Prototyping, evaluating and deploying ML algorithms for defence use cases, • Working across computer vision, perception and autonomy, • Building and improving deep learning models, • Developing input pipelines, evaluation methods and model optimisation approaches, • Working closely with perception and planning engineers, • Translating customer and product requirements into technical solutions, • Writing production software in C++ and/or Python, • Testing, debugging and improving model performance in real-world autonomy systems, • Supporting junior engineers as the UK team grows We’re particularly interested in people who have worked in computer vision, perception, deep learning, autonomy, robotics, drones, aerospace or defence environments. This would suit someone who has built real software and ML systems, not just experiments or demos. Useful experience would include: • Useful experience would include:, • Computer vision, perception or deep learning, • Object detection, tracking or segmentation, • ML model development, evaluation and deployment, • C++ and/or Python, • PyTorch, TensorFlow or OpenCV, • Real-time or embedded systems, • Robotics, drones, aerospace or defence, • SIL / HIL or real-world autonomy testing Nice to have, but not essential: • Publications in computer vision, robotics or machine learning, • Experience with drones or flight computers such as PX4, • Experience improving system-in-the-loop model performance, • Current or previous UK Security Clearance What matters most is that you are a strong engineer, comfortable working across ML and production software, and excited by the idea of building real autonomy capability for defence use cases. This would suit someone ambitious, hands-on and low ego who wants to work in a small, high-impact team helping shape Applied Intuition’s UK engineering capability. A few key details: 📍 London 💰 Six-figure salary 🔐 Must be able to hold UK Security Clearance 🤖 Defence / autonomy / vehicle intelligence focus 🧠 Computer vision / ML / perception 🚀 Early UK team, real ownership If this sounds like you, or someone in your network, drop me a message.

We are a small London startup with the ambition to change education with ML-powered tutoring. Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible to everyone. What was once technologically impossible is now within our grasp. We launched our app on iOS in February 2026, and we’re now looking for a Senior Android developer to lead development of an Android version and unlock a whole new user-base! What you will do 🚀 • Lead the development of the Glite Android app from scratch., • Design and implement a high-scale Android app for millions of users., • Build convenient CI/CD processes and testing pipelines to support quick iterative development and app stability., • Research and make decisions about the Android technological stack and app architecture, considering all trade-offs., • Work closely with our ML team to integrate models into the mobile experience and build robust data pipelines., • Build features that work with large amounts of data in different modalities (text, video, images, audio)., • Work in a very cross-functional team, side by side with our iOS and backend developers, product managers, ML engineers, and designers. Essential skills 🙏 • Experience building high-quality Android applications from scratch., • Strong proficiency with Kotlin., • Deep experience with Jetpack Compose., • Strong knowledge of coroutines, multithreading and concurrency., • Requirements gathering & architecture planning (trade-off management)., • Clean code practices., • CI/CD automation pipelines (GitHub Actions, CircleCI, etc.)., • Best practices in consuming scalable mobile APIs (REST, HTTPS, etc.). Desirable Skills 👌 • Experience working with Java., • Experience with iOS development (helpful for flexibility with features and priorities)., • Currently speak, or learning to speak, more than one language., • Experience in developing educational products., • Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.) What we can offer ✨ • A real-deal startup adventure: you'll be hopping on a major project while it's still in the works!, • Freedom to suggest, implement, and test ideas, • A crew all about people and products, • Competitive salary, • Unlimited learning & development budget - courses, books, conferences etc. Interview Process 🧪 Our interview process consists of an intro call, followed by 3 technical interviews. If these interviews are all successful, we’d like to offer 2-3 paid trial days, so you can work on a real project for our app and see what it’s like to work at Glite!

Senior Business Analyst Perm Role SC Eligible OR Active SC Candidate London - 1-2 day Travel per week to office Role Summary The Senior Business Analyst (BA) will play a critical role in supporting multidisciplinary delivery teams to successfully deliver the HPV Self‑Testing service into Private Beta, and to iterate and mature the service through structured learning from user feedback, operational insights, and clinical and policy constraints. The post holder will work closely with Delivery Managers, Product Managers, UCD designers, engineers, clinical and policy stakeholders, translating user needs, service outcomes, and policy intent into clear, prioritised, and testable requirements. The role requires experience working in Government digital services, with a strong understanding of agile, user‑centred delivery in complex, regulated environments. Senior Business Analyst – Key Responsibilities Service & User Analysis • Work with UCD, Product and Clinical stakeholders to understand user needs, clinical requirements, and policy intent., • Translate user research findings into clear service requirements, hypotheses, and acceptance criteria., • Support the team to balance user needs, operational constraints, and clinical safety requirements. Agile Delivery Support • Collaborate closely with Delivery Managers and Product Managers to refine and prioritise the backlog., • Produce high‑quality user stories, process maps, and supporting artefacts suitable for Private Beta delivery., • Ensure requirements are incrementally delivered, testable, and aligned to service outcomes. Private Beta Delivery • Support delivery of the HPV Self‑Testing service into Private Beta, ensuring:, • Clear scope and success measures, • Traceability between user needs, policy goals, and delivered features, • Readiness for controlled live testing Iteration & Continuous Improvement • Analyse user feedback, support data, operational insights, and analytics gathered during Private Beta., • Work with the team to adapt and refine service journeys based on evidence., • Ensure learning is captured and informs subsequent delivery phases. Stakeholder Collaboration • Act as a bridge between delivery teams and wider stakeholders including policy, clinical, operational and assurance groups., • Facilitate workshops and structured conversations to resolve ambiguity and build shared understanding., • Communicate complex information clearly to both technical and non‑technical audiences. Governance & Assurance • Ensure business analysis outputs support compliance with:, • GDS Service Standard, • Accessibility and inclusive design requirements, • Support preparation for service reviews, show‑and‑tells, and assurance checkpoints. Essential Skills & Experience Essential • Proven experience as a Business Analyst in Government and/or NHS digital services, • Strong experience working in Agile, multidisciplinary teams, • Demonstrated ability to translate user needs into clear, actionable requirements, • Experience supporting Beta or Live digital services, • Excellent stakeholder management and communication skills Desirable • Experience working on screening, prevention, or healthcare services, • Familiarity with GDS Service Standard and service assessments, • Experience interpreting user research and service analytics, • Exposure to User‑Centred Design (UCD) practices Why This Role Matters This role directly supports the safe, effective, and inclusive rollout of an important preventative health service. Success will help improve cervical screening uptake, reduce inequalities in access, and ensure that learning from real users meaningfully shapes the future of the service.

Founding team · Full-time · Hybrid (London or Oxford) · Meaningful equity About us Science runs on trust, but the machinery meant to produce that trust is failing. Peer review is slow, opaque, inconsistent, and increasingly gamed. And a flood of AI-generated research is about to overwhelm a system that was already straining. No one is the credible, independent arbiter of research quality. We think there should be one. OxSci is building a credit rating agency for science: a certification layer that combines AI with expert peer review, so researchers, institutions, and AI developers can assess research quality quickly and at scale. We're early, focused, and well-resourced. The standards we set now (what "quality" even means, and how expert judgment and AI combine to produce a defensible rating) will define the company. About the founders OxSci was founded by Shumiao Ouyang, Associate Professor of Finance at Saïd Business School, University of Oxford, and Fellow in Management at Wadham College. His research spans fintech, digital payments, and AI; he holds a PhD in Economics from Princeton and degrees from Peking and Tsinghua Universities. He started OxSci out of a conviction that the systems for judging scientific quality are overdue for reinvention, and you'd be building it with him directly. The technical side is led by OxSci's cofounder, a senior tech lead from one of the world's largest technology companies, with deep experience building and operating systems at global scale. This role works hand in hand with the cofounder day to day — you'd shape the platform's architecture and engineering culture together, from the ground up. What you'll do • Build the backend for our core product services and AI-powered features, using Python / FastAPI to ship stable, scalable systems., • Design and implement model calls, retrieval-augmented generation (RAG), context engineering, tool calling, and workflow orchestration across use cases spanning academic-content understanding, workflow assistance, output generation, and quality improvement., • Productionize the platform's AI feature modules — building task execution, state management, access control, logging/tracing, and failure-recovery capabilities., • Work with the product, frontend, and platform teams to take new features from validation to production, continuously improving quality, latency, stability, and cost., • Contribute to the design of data structures, knowledge-base interfaces, evaluation mechanisms, and service governance to keep the overall system maintainable. What we're looking for • A solid backend foundation, strong Python skills, and hands-on project experience with FastAPI or a similar framework., • Strong service-design, API-design, and debugging skills — able to drive complex feature modules to stable delivery., • Familiarity with the fundamentals of LLM application development; experience with RAG, tool calling, context engineering, or workflow orchestration is a plus., • Experience building content-processing platforms, knowledge-base systems, complex business platforms, or AI-application backends is a plus. What we offer • Founding seat with meaningful equity and a direct line to the founders, • The rare chance to define a standard the field doesn't yet have, • Genuinely competitive pay; equity discussed openly, • Generous AI/LLM token budget for your daily work, • Fast personal growth, with broad ownership and scope from day one, • Flexible working hours How to apply • Location: Hybrid (London or Oxford), • Visa: we can sponsor work visas for the right candidates in the near future., • To apply: send your CV to recruit.uk@oxsci.ai, and include something you've built — an app, a website, or any project you'd love to talk about.

Industrial Designer Location: The Library, London (5 days in-office) About QOVES QOVES is a technology company pioneering facial aesthetics, helping consumers make smarter beauty decisions. Every day, people make important decisions about their appearance based on guesswork or generic advice. We help them decide with clarity instead. Our platform gives customers a clear, science-backed understanding of their face, paired with bespoke advice on how they can look better. Our work reaches millions: more than 2.5 million people follow QOVES across platforms and most importantly, our customers are delighted, with 4.8 stars across 600+ reviews; we believe this reflects the care and sensitivity with which we approach everyone who comes to us for guidance. We're a profitable, growing company headquartered at The Library in London, with a team across the globe. What guides us is simple: people deserve more than one-size-fits-all advice when it comes to their appearance. Every decision we make (from the science behind our models to the way we communicate results) is grounded in evidence, responsibility, and a broad, inclusive understanding of beauty. About the Role We are looking for an Industrial Designer who can translate scientific concepts and product ideas into high-fidelity 3D renders, functional prototypes, and production-ready designs. Expert proficiency in industry-standard CAD and rendering tools is a firm requirement. You will work directly with our founders, engineers, and researchers. Day to day, that means turning concept notes and scientific references into detailed 3D models, creating photorealistic renders for presentations and investor use, and developing CAD models that carry through to manufacturing-ready files. You will apply anthropometric and ergonomic principles to form and human factors decisions, iterate rapidly based on feedback and usability testing, and work with suppliers and manufacturers to validate product specifications. Your output will shape our physical product lines: devices, tools, packaging, and hardware. What We're Looking For • Bachelor's degree in Industrial Design, Product Design, Mechanical Engineering, or equivalent., • Expert proficiency in SolidWorks, Rhino, Fusion 360, Blender, KeyShot, or comparable tools., • Portfolio demonstrating 3D product renders and designs taken through to manufacture., • Solid understanding of ergonomics, materials, and production methods., • Ability to interpret scientific or technical requirements and translate them into functional, testable designs., • Strong aesthetic sensibility: clean, modern, and precision-driven., • Comfortable taking ambiguous briefs and working independently through to a defined design direction., • Able to work onsite at The Library in London. Nice to Have • Experience working alongside engineers and research scientists on hardware products., • Background or active interest in cosmetic science, biomedical engineering, or human perception research. Why Join Us • Direct collaboration with founders and senior engineers on products seen by millions., • Full creative ownership of product design direction at a company defining a new category., • Fast-moving, meritocratic team where output is valued over process. Compensation and Logistics • Competitive salary., • Full-time, onsite at The Library in London, 5 days a week., • Reporting to: CTO

About the Team: You'll be joining the team leading Entrust's Identity portfolio, formerly known as Onfido (an AI- powered digital identity solution). Our technology helps businesses verify real identities using machine learning, ensuring secure remote customer onboarding. By assessing government- issued identity documents and facial biometrics using state-of-the-art machine learning, we provide companies with the assurance they need to operate securely while allowing people to access services quickly and safely. Our Applied Scientist team consists of about twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely with product engineering to deploy models to serve our worldwide customer base. Position Overview: We are looking for an Applied Scientist II to design and train cutting-edge machine learning solutions related to digital identities. Join our team and work on challenging problems in deepfake detection, bias mitigation, document understanding, anomaly detection and/or efficient ML. What you will be doing: • Push the frontier of research in areas such as deepfake detection, bias mitigation, fraud/anomaly detection, face matching, document understanding, and efficient on-device ML., • Publish research results in national and international conferences and scientific journals. Work with product and engineering to improve our world-class identity-focused products. Representative work: • Implement bias-mitigation strategies to build fair face-matching and deepfake-detection models., • Train and benchmark large-scale vision-language models for document extraction., • Train a multi-modal document understanding model from scratch using synthetic data., • Optimise LoRA adapter latency in PEFT/Triton., • Profile, debug and improve model training speed on multiple GPUs., • Create a large-scale dataset for deepfake detection., • Experiment with multimodal models to detect fraud. You may be a good fit if you: • Have strong experience in machine learning and computer vision., • Have a strong record of successfully delivering high-performance ML-driven products., • Have a deep understanding of machine learning theory., • Have strong coding skills in Python and PyTorch., • Care about building fair and cutting-edge machine learning products. Strong candidates may also have: • Technical experience in one or more of the following areas: face matching, bias mitigation, anomaly detection, document understanding or on-device ML., • Published at top-level machine learning conferences. Experience optimising (distributed) training code. Where you will be: This role is based in our London, UK office and follows a hybrid model, requiring in-office presence three days per week. Benefits UK • 25 days annual leave plus a day off for your Birthday., • Two paid volunteering days per year.*, • Bupa Private Medical and Dental Insurance*, • Pension with The People’s Pension (employer contribution 4% of base salary)*, • Generous paid parental leave, • Life enrichment allowance of up to £80 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy, • Dedicated learning opportunities including using tools like Linkedin Learning with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more, • Our open and transparent culture is reflected in our “Better Together” motto and we bring this to life by meeting once a week for our global weekly roundup (OnThursday); holding quarterly team socials, and other company-wide social events, • Expense up to £300 (or local equivalent) to purchase workstation setup equipment, • The opportunity to become a member of Entrust’s resource groups in order to learn different skills in our belonging groups Ready to Make an Impact? If youʼre excited by the prospect of working on cutting-edge machine learning for problems that matter, Entrust is the place for you. Join us in making a difference. Letʼs build a more secure world—together. Apply today! NO AGENCIES, NO RELOCATION #LI-GR1 #ENT123

Overview of the role We're hiring a Research Engineer to join our AI Research (AIR) team. You'll work on the components that make the outer loop real: how agent harnesses orchestrate model behaviour, how we evaluate what's actually working, how pipelines turn production traces into the next round of improvement, and how we diagnose the failure modes that matter to real users. These aren't four separate workstreams — they're parts of one system, and we want people who see them that way. We expect you to sit close to customers — joining calls, watching sessions, reading traces — and to let real workflows shape your research priorities. You'll have meaningful autonomy and the resources to run substantial experiments where the bar for success is shipped impact. You'll report to our AI Research Lead, and collaborate closely with engineering, product, and design. What we're looking for We're explicitly building coverage across four skill areas. You don't need to be strong in all of them — but you should bring depth in at least one: • Agent harness and orchestration design — how tools, context, and control flow combine to make a useful agent., • Agentic eval methodology — task and repo-level evals, dataset curation, the craft of measuring what actually matters., • Outer-loop and pipeline thinking — feedback loops, training-data flywheels, bandit-style optimisation, anything that goes beyond a single agent session., • Failure-mode analysis — instrumenting agents, reading traces at volume, surfacing patterns engineering can act on. Essential • 4+ years shipping AI/ML products in a startup or applied industry setting, with recent hands-on experience with LLMs and agentic systems., • Demonstrated depth in at least one of the four skill areas above., • Strong product and customer instincts: comfort joining customer calls, watching session recordings, and letting real workflows shape what you work on., • Sharp evaluation judgement: benchmarks where they exist, vibes and quick prototypes where they don't, and the taste to know which is appropriate., • Experience building datasets for evaluation or training, including the pipeline work that goes with it., • Deeply curious about agents and excited about reshaping how software is built. Nice to have • A Masters or PhD in a relevant computational field., • Direct experience with coding agents or code-generation systems., • Background in RL, bandits, or other outer-loop optimisation frameworks applied to LLMs., • Experience building synthetic data, dataset infrastructure, or internal tooling that other engineers actually used., • A project you can show us (GitHub links welcome) and a thoughtful answer to "Why Tessl?" What you'll do No two weeks will look the same. A flavour: • Sit in on a customer session, understand how their agents are failing, design an eval that captures it, and drive a fix through to shipped improvement., • Close a piece of the outer loop end to end: production signal in, dataset out, eval scored, harness change shipped, metric moved., • Own a slice of our eval infrastructure: dataset curation, harness configuration, runner, analysis, and the comms back to engineering., • Prototype a new harness or context configuration and measure whether it actually moves the needle on real customer tasks., • Dig through pages of agent traces, build the tooling you need to make sense of them, and brief the team on what you found., • Partner with product and engineering on near-term shipping problems by bringing research rigour., • Pull a recent paper apart, work out what's actually transferable to our platform, and turn it into a concrete experiment. You’ll be successful if… In your first 3 months, you might have shipped a new eval suite for a real customer workflow, improved an agent harness based on trace analysis, or built a pipeline that turns production failures into reusable test cases. Salary and benefits Competitive salary commensurate with experience. Health insurance extending to partners and dependents, pension contributions, and the rest of what you'd expect. Our office is a couple of minutes from King's Cross — pet friendly, with regular team lunches, drinks, and socials. We're hybrid, with Monday, Tuesday, and Thursday as the primary in-office days. Application process • Intro call to understand "Why Tessl?" and to tell you a bit about us., • A call with our AI Research Lead to understand your ways of working and how you use agents., • A 4 hour technical take-home exercise extending our one-shot implementation., • A half-day on-site session including whiteboarding and hands-on activities., • Leadership chats with our Head of People, Head of Engineering and CEO.

Fixed Term Contract: 6-8 months Location: City of London, Hybrid, 3 days onsite Onfido, an Entrust company, is growing fast. We are entering new markets and verticals across Europe to meet the needs of our customers. Reporting to the Senior Product Director of Document and Biometrics, you will be responsible for driving the development and execution of our product strategy, with a particular focus on launching Biometric Authentication products. You will ensure alignment with business goals and customer needs, working closely with cross-functional teams to deliver high-quality products that meet market demands. The key focus of this role is to help us develop our product in a relatively new market. This role is perfect for someone who is great at exploring new market opportunities; who has a good grasp of the commercial considerations around this re target customer and willingness to pay; and is brilliant at influencing senior stakeholders to get alignment on direction, with a bias to action. Key Responsibilities: • Conduct market research and competitive analysis to identify opportunities and trends in the Biometric Authentication space, • Gather and prioritise key product requirements and customer willingness to pay for a new product in this space, based on customer feedback, market needs, and business objectives., • Define and communicate the product vision, strategy, and roadmap for Biometric Authentication, • Collaborate with Engineering, Design, Marketing, and Sales teams to develop and launch new Biometric Authentication products, • Create detailed product specifications and user stories, • Manage the product lifecycle from concept to launch and beyond, • Monitor product performance and gather insights to drive continuous improvement, • Act as the primary point of contact for all product-related inquiries and decisions, • Mentor and guide junior product managers and team members Essential Qualifications: • Bachelor’s degree in Business, Engineering, Computer Science, or a related field, • 8+ years of experience in product management, • Proven track record of successfully launching and managing products; experience in Financial Services highly preferred, • Strong analytical and problem-solving skills, • Excellent communication and interpersonal skills, • Ability to work effectively in a fast-paced, dynamic environment, • Experience with Agile methodologies and product management tools Preferred Qualifications • MBA or management consultancy experience is a plus, • Experience with pricing SAAS products, • Experience of launching and managing products specifically in the Identity Verification or Authentication industry

About Pyxos Pyxos is the agentic operating platform for data privacy compliance. Where incumbents sell workflow tracking tools and dashboards, we ship agents that execute compliance work — RoPA, DSARs, DPIAs, vendor risk, breach response, cross-border transfers — under human oversight. Our benchmark is an 80%+ reduction in manual privacy work. Pyxos was incubated at NEOM in Saudi Arabia. KSA is our first market; we expand from there across the GCC, then into the EU, UK, and US. We have one paying enterprise customer and six design-partner pilots launching with enterprise customers in KSA and the UAE. The founding team is senior. Pyxos is led by a six-time Silicon Valley venture-backed technology CEO with four significant exits, now based in London, alongside operating leaders with deep enterprise software and AI experience. The position You will own the technical direction of our agent surface, the proprietary build environment behind it (our Agentic Studio), and the evaluation, observability, and safety layers that make the system trustworthy enough for regulated enterprise deployment. We build with AI: agentic development tooling is core to how Pyxos ships, and we expect the person in this position to extend that approach, keeping the team deliberately lean. You will be part of the founding team, the most senior technical person, reporting to the CEO as part of the founding leadership team, and architectural authority over the AI layer. You will work closely with our VP, Product & Operations (based in the US), who owns product and operational engineering. This is a hands-on role. You inherit one strong engineer and a working production system, and your job is to ship — writing code, designing agents, owning the evaluation work, making the architectural calls. Hiring happens in parallel, deliberately and slowly, with a strong bias toward keeping the team small and leveraging AI tooling to extend its output. The first 90 days Your first ninety days are defined by an in-flight commitment: delivering v1 of the Pyxos platform to our design-partner pilots by September 1, 2026. The work is underway. You will step into it, take ownership of the AI engineering path to that milestone, and make the technical calls needed to land it on time. Concretely, that means hardening the agent surface across the pilot workflows; tightening the evaluation discipline to a standard that holds up under regulated scrutiny; and resolving the architectural decisions — model routing, memory, guardrails, audit trail — that define how the platform scales beyond v1. You will be writing code, not just directing it. Hiring is a parallel activity, paced to the work and held to a high bar; we would rather stay small longer than scale headcount ahead of need. What we expect you to have done before: • Shipped agentic systems in production. Multi-step LLM systems with tool use, sub-agent orchestration, persistent memory, and human-in-the-loop steps. You can describe specific failure modes and how you instrumented your way out of them., • Evaluation as a discipline. You have designed and operated eval harnesses measuring faithfulness, hallucination rate, instruction-following, latency, and cost across model versions and prompt changes. For us, this is the clearest indicator of someone who has shipped LLM systems in production., • Deep, current LLM engineering practice. System-level prompt design, RAG, structured generation, fine-tuning trade-offs (SFT, DPO, LoRA), and working knowledge of the frontier model landscape., • LLM safety and security. Prompt injection mitigation, dual-LLM or plan-then-execute patterns, output validation, tool-use restrictions, policy enforcement., • Production engineering rigor. Strong Python; cloud fluency (AWS, GCP, or Azure); CI/CD, observability, cost attribution., • Engineering leadership at startup pace. You have hired, managed, and grown teams — not just been an individual contributor. Nice to have: regulated-industry experience (privacy, finance, healthcare, legal tech); BYOC or on-prem deployment experience; familiarity with the EU AI Act or GDPR Article 22; Arabic language capability. What we are not looking for This is not a research role; we are not training foundation models or publishing papers as a primary output. We are building production systems where the cost of a wrong answer is a regulatory fine, which calls for a different set of disciplines and a different kind of engineer. Logistics Remote, UK or EU. Working pattern overlaps reasonably with European and Gulf time zones. Occasional travel to customer sites and team gatherings. Competitive base for an early-stage startup with meaningful founding-team equity; specifics in early conversations. Process Initial CEO conversation → technical deep-dive on agentic systems and evaluation → architecture working session on a Pyxos use case → references → offer. Three weeks, first conversation to decision. Pyxos is an equal opportunity employer. We hire on the basis of capability, judgment, and fit with what we are building. We welcome applications from candidates of all backgrounds and will make reasonable adjustments through the interview process on request.