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Overview At Acturis, innovation isn't just part of our culture - it's in our DNA. Our story began in 2000 in the garden shed of our co founder, Theo Duchen, who, alongside fellow former McKinsey partner David McDonald, set out to reinvent insurance technology. What started as a bold start up idea has grown into a global SaaS leader trusted by the industry. Today, over 100,000 users across 40+ countries rely on the Acturis platform. By working closely with brokers, insurers, and MGAs, we continue to shape the market and drive new standards across both personal and commercial lines. Acturis is proud to be recognised as a Great Place to Work 2026 and to maintain a collaborative, innovative, start up style culture, even as we scale globally. With over 90% of our hires coming from graduate backgrounds, this is a place built for early career talent to thrive. And as an EcoVadis Committed rated organisation, we focus on creating long term value by operating in a sustainable and responsible way. Day to day you will Work closely with insurers and brokers to help design and build insurance products within the Acturis platform, supporting the translation of business requirements into structured system solutions Configure product logic including rating models, underwriting rules, data capture journeys and policy outputs, with training and support from experienced colleagues Analyse and troubleshoot products, assisting with testing, optimisation and ongoing enhancements across the policy lifecycle We offer mentorship from day one, a clear progression path, and real responsibility early on, because we've built an environment where graduates grow fast and make meaningful impact. You can expect A transparent career structure, regular feedback, and 3 formal performance reviews annually Opportunities to lead projects, manage resources, and mentor junior team members. Intensive onboarding, industry-recognised training, and funded specialist courses as you progress. You'll thrive here if you: Have (or expect) a 2:1+ in a STEM degree and strong A levels (AAB minimum, including an A in Maths). Are logical, analytical, organised, and quick to learn new concepts. Communicate confidently and enjoy working in a collaborative team environment. We have a variety of join dates available for this role, and can offer both ASAP start dates and start dates up the end of 2026 Ready to apply your technical mind to real world challenges? Join Acturis and build a career where you'll grow quickly, innovate boldly, and work alongside some of the brightest people in the industry. We are an equal opportunities employer and positively encourage applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, transgender status, religion or belief, marital status, or pregnancy and maternity. For further information, visit . If you will require any reasonable adjustments to be made at any stage throughout the recruitment process then please email so that we may accommodate them for you. Successful candidates will usually be contacted within 14 days of applying. Due to the high-volume of applications we are unfortunately unable to inform unsuccessful applicants. Unfortunately, we are unable to offer sponsorship for this position at this time. Please keep an eye out on our Careers page for any updates regarding sponsorship.

AI Developer Salary: National circa £37,000 Are you passionate about cutting-edge technology and its real-world impact? As part of our GenAI team, you'll play a key role in delivering, deploying, and monitoring AI and GenAI solutions that support our Personal Lines and Transformation teams. You'll develop innovative GenAI applications aligned with our strategy - delivering insights that will transform how we operate today. This is an exciting opportunity to join a leading GenAI delivery team within General Insurance and help shape the future of intelligent solutions at Aviva. If you're ready to make a difference and work on projects that are market leading, we'd love to hear from you! Skills and experience we're looking for Are interested in or already working with the latest GenAI practices, including prompt engineering and RAG systems on Azure, with an awareness of emerging technologies such as Agentic AI. Proactive nature and keen problem solver, we want to be the driving force of innovation within our department and see these as key behaviours that sit behind this. Ability to turn data into clear, actionable insights that drive informed, data led decisions. Have software engineering skills such as developing and deploying web-based applications using frameworks such as FastAPI, backend APIs, scalable architecture design. And knowledgeable about containerisation and deployment through DevOps pipelines. Collaborates effectively within a team, openly sharing ideas, perspectives, and constructive opinions to drive better technical and product outcomes What you'll get for this role: Our purpose - with you today, for a better tomorrow - is a promise we make to our colleagues too. And one of the ways we live up to that promise is by investing in you. We have so much to offer when it comes to being an Aviva colleague. Starting salary circa £37,000 for National based (depending on location, skills, experience, and qualifications) Bonus opportunity 8% of annual salary - Actual amount depends on your performance and Aviva's Generous pension scheme - Aviva will contribute up to 14%, depending on what you put in 29 days holiday plus bank holidays, and you can choose to buy or sell up to 5 days Make your money go further - Up to 40% discount on Aviva products, and other retailer discounts Up to £1,200 of free Aviva shares per year through our Matching Share Plan and share in the success of Aviva with our Save As You Earn scheme Brilliantly supportive policies including parental and carer's leave Flexible benefits to suit you, including sustainability options such as cycle to work Make a difference, be part of our Aviva Communities and use your 3 paid volunteering days to help others We take your wellbeing seriously with lots of support and tools Aviva is for everyone: We're inclusive and welcome everyone - we want applications from all backgrounds and experiences. Excited but not sure you tick every box? Even if you don't, we would still encourage you to apply. We also consider all forms of flexible working, including part time and job shares. We flex locations, hours and working patterns to suit our customers, business, and you. Most of our people are smart working - spending around 50% of their time in our offices every week - combining the benefits of flexibility, with time together with colleagues. We interview every disabled applicant who meets the minimum criteria for the job. Once you've applied, please send us an email stating that you have a disclosed disability, and we'll interview you.

About Huawei Research and Development UK Limited Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and regions, serving more than three billion people around the world. Our vision and mission is to bring digital to every person, home and organization for a fully connected, intelligent world. To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power where you need it, when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether they're at home, in the office, or on the go. This spirit of innovation has led Huawei to work in close partnership with leading academic institutions in the UK to develop and refine the latest technologies. With a shared commitment to innovation and progress, both parties have worked together to achieve common goals and establish a strong partnership. The partnership between UK and Huawei help to develop the technologies of the future that will transform the way we all communicate, work and live. For the past 30 years we have maintained an unwavering focus, rejecting shortcuts and easy opportunities that don't align with our core business. With a practical approach to everything we do, we concentrate our efforts and invest patiently to drive technological breakthroughs. Core Values staying customer-centric, inspiring dedication, persevering, growing by reflection Huawei Research and Development UK Limited Overview Huawei's vision is a fully connected, intelligent world. To achieve this, we work to inspire passion for basic research around the world. Our combined passion drives development across the global innovation value chain. Huawei has the largest Research and Development organization in the world with 96,000+ employees in research centers around the globe. In the UK, we already have design centers in Cambridge, London, Edinburgh and Ipswich. We continue to explore and define new research directions and new services. We have expanded our collaborations with academic researchers; researched new network architectures, integration of communications and key enabling technologies; and developed the fundamental theories of these technologies. We invite you to join us on this exciting journey and drive your career forward. Job Summary Huawei London Research Centre is looking at for a Native Intelligent System Architecture Expert with experience in native intelligence construction of the HarmonyOS system. We are seeking to hire expert who focus on technologies related to terminal intelligence, including but not limited to the integration of LLM with OS, Agent architecture, user profiling, edge cloud collaboration, foundational models for general artificial intelligence, multimodal large models, as well as model compression and optimization. Keep a close eye on industry trends and key technologies in the field of terminal intelligence, and incubate trends and technology roadmaps for software and hard intelligence transformation over 2 3 years. Key Responsibilities Participate in the native intelligence construction of the HarmonyOS system, lead the architecture and development of terminal operating system components that can flexibly support AI capabilities, better serve AI capabilities, improve the efficiency of AI model operation, and build the architectural competitiveness of HarmonyOS in the field of AI. Use machine learning capabilities to optimize underlying system performance, resource management, and power consumption to achieve optimal global efficiency and enhance the performance of HarmonyOS devices. Participate in the construction of intelligent features of HarmonyOS applications, design flexible and scalable application frameworks that can better adapt to leading AI technology empowerment. Introduce new technologies to the team, verify key technical points, grasp new technical directions in the industry, ensure that the architecture has good technical compatibility. Create detailed architectural documents, design specifications, and AI integration technical guidelines. This job description is only an outline of the tasks, responsibilities and outcomes required of the role. The jobholder will carry out any other duties as may be reasonably required by his/her line manager. The job description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited. Person Specification Required: Familiar with operating system architecture, have a clear understanding and knowledge of the underlying system architecture, and have experience in applying intelligent technology at the system level. Deeply observe and analyse the intelligent direction of industry leading products and formulate years AI native OS plan to promote the landing of AI native OS. Have in-depth academic research capabilities and achievements in the field of artificial intelligence (including natural language processing, computer vision, and decision making reasoning). Familiar with Huawei's business, have rich experience in technological innovation and technical research projects, deeply observe and analyze the technical competitiveness and solutions of industry leading AI products. Have a certain influence in the field of AI research, be able to quickly obtain industry technical resources, and transform them into internal competitiveness. Understand the commercial value behind the mainstream technology routes in the industry and their impact on the company's AI research strategy. Identify the company's technological innovation opportunities and challenges. Desired: PhDin computer science, software engineering, communication, electronics, etc., have an in depth understanding of the AI field, large models, etc. Candidates with AI field related TOP conference papers are preferred. AI product landing experience. Familiar with one of the mainstream mobile systems, understand the architecture and software framework of device system software, and understand AI hardware acceleration. What we offer 33 days annual leave entitlement per year (including UK public holidays) Group Personal Pension Life insurance Private medical insurance Medical expense claim scheme Employee Assistance Program Cycle to work scheme Company sports club and social events Additional time off for learning and development

We are looking for aSenior Software Engineer(Backend) to play a pivotal role in leading the design, development, and deployment of complex software solutions. You will architect and maintain data engineering pipelines, backend services, and APIs, delivering reliable and scalable systems that address business needs across diverse industries. This position requires deep expertise in software engineering concepts, advanced coding abilities (preferably Python), and hands on experience with cloud deployments, databases, and containerisation (Docker). We're looking for someone with a co-operative, can do attitude who can build high-quality data engineering solutions. If this sounds like you, we can't wait to hear from you! KEY RESPONSIBILITIES: Contribute to the design, development, and deployment of robust software solutions, promoting best practices throughout the software development lifecycle. Contribute to architecting and maintaining complex data engineering pipelines, backend services, and APIs to ensure scalability, reliability, and high performance. Support the thorough review of Python and SQL code via Git, promoting code quality, security, and adherence to engineering standards. Support cloud based deployments and infrastructure (e.g. Azure, GCP), leveraging Linux scripting and advanced Docker skills including storage, volumes, and permissions. Develop and implement database solutions using SQL and Cloud platforms, with a focus on optimising performance and data integrity. Mentor and guide junior engineers, facilitating knowledge sharing and the adoption of best engineering practices. Troubleshoot and enhance existing systems, applying advanced problem solving and analytical skills. Effectively communicate technical concepts and project outcomes to stakeholders through written documentation, calls, and presentations. Demonstrate high attention to detail across all development activities, contributing to deliverables that meet technical and business requirements. Remain up to date with emerging software engineering technologies and industry trends and proactively suggest improvements and new approaches. Identify technical risks and contribute to project planning and task management, helping to achieve successful outcomes. KEY REQUIREMENTS: Mastery of at least one programming language (preferably Python) with deep understanding of advanced technical concepts (system architecture, microservices, cloud-native design, OOP, concurrency, decorators, recursion) Experience in delivering, designing, and deploying scalable software solutions and complex software projects, including backend services, data engineering pipelines, and APIs Experience in DevOps practices, such as CI/CD, version control (Git, GitHub, Azure DevOps), infrastructure as code, and collaborative workflows Experience with Docker development workflows, including DockerFiles, storage, volumes, and production grade deployments Strong understanding of databases (SQL Server, Postgres) and ORMs (e.g., SQLAlchemy, Prisma), including database migrations (Alembic) Advanced knowledge of cloud deployment (AWS, Azure) and Linux scripting (e.g., bash) High attention to detail with a thorough approach to code review and testing Track record of mentoring, establishing engineering best practices, and code quality assurance Effective communication skills, able to convey complex technical concepts to diverse audiences (stakeholders, technical/non-technical) Demonstrated ability to work independently and make architectural decisions Ability to identify, propose, and implement improvements to engineering processes Strong problem-solving skills and analytical thinking Hands on experience with cloud infrastructure (deployment, monitoring, scaling) INTERVIEW PROCESS: Stage 1: 20 min video call with a member of the hiring team Stage 2: 45 mins live coding task Stage 3: 90 min F2F interview in our London office OUR BENEFITS: At ADSP, we believe in rewarding talent and supporting your growth. Here's what you can look forward to as part of our team: Competitive compensation package including annual performance bonus 26 days of annual leave, 8 bank holidays plus your birthday off BUPA Private Healthcare Enhanced family leave £1,000 annual development budget Flexible hybrid working (2 days a week in our modern Shoreditch office) Remote working from anywhere in the world for up to 4 weeks each year Latest tech that suits your needs: high-spec Windows machine or a MacBook Free snacks and drinks, and regular team socials Supportive entrepreneurial environment offering a ton of autonomy and opportunity to work on a variety of projects, technologies and industries Join us and realise your full potential in a collaborative, forward-thinking team, where your work will help shape the future. OUR COMMITTMENT TO DEI: At ADSP, we are committed to fostering an inclusive hiring process and believe in creating an environment where all candidates have equal opportunities to succeed. If you require any reasonable adjustments during the application or interview process, please do not hesitate to reach out to us at

About Gelato Gelato has created the world's largest global network for on demand production of custom products, from t-shirts and mugs to books and wall art. We empower a new generation of ecommerce entrepreneurs to share their creativity worldwide while embracing local, sustainable production. By producing locally and perfectly matching supply with demand, we eliminate waste and reduce carbon emissions. At Gelato, we don't own production facilities, we build the software that connects them. With over 140 production partners in 32 countries, our network can deliver custom products to five billion people in just 72 hours. It's smarter, faster, and greener. With GelatoConnect, our SaaS platform, we are driving innovation in print production. GelatoConnect simplifies operations for print producers by automating procurement, workflows, and logistics into one seamless system. By boosting efficiency and cutting costs, it helps businesses scale to meet market demands. With GelatoConnect, we are reshaping the print industry to be more efficient, sustainable, and profitable. What You Will Be Doing The world of software is being reshaped by AI - and so is print. At Gelato, we are building GelatoConnect, an AI powered operating system that helps print service providers (PSPs) run smarter, faster, and more profitably. We are at the forefront of bringing vertical SaaS and AI into one of the world's oldest industries. Product managers at Gelato operate with full ownership of a product area, from early discovery through to live operation. You will be responsible not only for defining what to build, but for ensuring it works in practice - for customers, in real workflows, under real constraints. You will work directly with PSP customers to understand their operations, identify pain points, and translate complex, often fragmented workflows into practical, usable software. You will partner closely with a small, high ownership engineering team and play an active role in both discovery and delivery - including shaping solutions, validating outputs, and supporting execution. You will have accountability for business outcomes. This is not a traditional PM role. There is no clear separation between product, design, and delivery. We expect you to build, not just specify. You will use AI tools - Claude, Cursor, Lovable, and others - to prototype ideas, validate concepts with working software, and accelerate every stage of product development. Our team follows an AI first, prototype first approach and we iterate at speed. Key Responsibilities Owning the vision, strategy, and roadmap for your product area - setting clear goals and driving outcomes, not feature output Working directly with PSP customers to deeply understand their operations, pain points, and what success looks like in their business Leading a team of engineers through rapid, iterative delivery cycles Using AI tools daily to build prototypes, run data analysis, draft specs, create evals, and validate ideas before committing engineering time Defining and tracking success metrics that tie to customer value and business impact Collaborating across product teams and with Sales, Onboarding, and Customer Success to ensure cohesive product experiences Obsessing over data quality, instrumentation, and feedback loops - you are the person who knows what is working, what is not, and why Thinking entrepreneurially: identifying where to build, where to buy, and where to partner - and acting on it with urgency Who You Are You are a builder at heart. You believe the best product thinking happens when you can make ideas tangible - fast. You do not wait for permission or perfect information; you prototype, test, learn, and iterate. You treat AI as a thought partner and a force multiplier, not just a feature to ship. You have an entrepreneurial mentality and thrive in environments where ambiguity is the norm. You are comfortable operating across strategy and execution - framing a market opportunity in the morning and debugging a customer integration issue in the afternoon. You communicate with precision and empathy, and you earn trust by consistently delivering results. You take accountability seriously. With AI, you can delegate the work but not the accountability. You define what good looks like before you start, evaluate outputs critically, catch what is wrong before it ships, and own the outcomes of your AI assisted workflows. AI Fluency Expectations We set a high bar for AI fluency. This is not about knowing which tools exist - it is about having AI embedded into how you work every day, with repeatable systems and measurable impact. Concretely, we expect you to: Use AI tools as part of your daily workflow for discovery, analysis, prototyping, and communication Build working prototypes and MVPs using AI assisted development - not just wireframes or slide decks Demonstrate an iterative, AI as thought partner approach: prompt, push back, refine, evaluate - not just accept the first output Show an upward trajectory of AI fluency - what have you tried, what did you abandon, and how has your approach evolved? Take full accountability for AI generated outputs: you verify, you evaluate, you own the quality Key Requirements You have 5+ years of hands on product management experience in B2B SaaS, vertical SaaS, or workflow/operational software, ideally in a startup or scale up environment You have owned products end to end, from customer discovery through to delivery and live operation - not just contributing to a subset of the lifecycle You are comfortable working closely with engineering and are technically fluent: you can discuss architecture tradeoffs, work with data (e.g. SQL), and build functional prototypes when needed You have practical experience using AI in your workflow (e.g. prototyping, analysis, spec creation), with clear examples of how it improved speed or decision quality You are able to take ambiguous, incomplete, or conflicting inputs and turn them into clear priorities, decisions, and shipped outcomes You demonstrate strong product judgment: you can prioritize effectively, say no when needed, and focus on what drives real customer and business value You can advocate for decisions with both qualitative insight and quantitative rigor You communicate with clarity and conviction - in writing, in demos, and in customer conversations You are energized by the challenge of bringing a traditional industry into the AI age Graduate degree with strong academic performance is valued, but what you have built matters more than where you studied. What it's like to work at Gelato We are a customer obsessed team with the ambition to change the world by connecting technology to the printing industry and making it much more sustainable. Everyone who joins our team must feel genuinely intrigued and motivated by our mission. We expect a lot. We are a driven team with big goals, so we seek individuals who are genuinely passionate about their work and possess an entrepreneurial spirit. Our culture is unique and we live by our values, so it's worth learning more about our culture and how we work before presenting your application. At Gelato, we pride ourselves on our global presence with 14 offices worldwide, fostering a dynamic and diverse work environment. Rooted in a culture that values collaboration, creativity, and camaraderie, we actively cultivate a company culture that thrives on shared experiences. We encourage team members to embrace this culture by working from our inspiring office spaces at least three days a week, allowing for meaningful connections and collective growth. Lastly, we ask that you please upload your CV in English, regardless of which country you are applying from.

Join us in our mission to revolutionize healthcare. Together, let's build something extraordinary that will shape the future of well being for generations to come. Embrace the opportunity to contribute to a team where your ideas and efforts make a tangible difference. The journey awaits - come be a part of building the future with Foundation Health Staff Software Engineer Address Employment Type Full time Location Type Remote Department About Foundation Health Foundation Health is transforming healthcare through an AI powered digital pharmacy platform that seamlessly connects operational infrastructure with high quality patient experiences. Our mission is to transform patient centric care by connecting fragmented infrastructure, optimizing care coordination, and removing friction from the patient journey. We refuse to adhere to the status quo; instead, we actively pioneer solutions that will shape the healthcare practices of tomorrow. This ambitious vision is only achievable with the dedication of the right team propelling us forward. We firmly believe that a supportive and inspiring work environment fuels creativity, transforming it into groundbreaking innovation. It is this very innovation that not only benefits our organization but also positively impacts our people, partners, and most importantly, our patients. At Foundation Health, we foster a culture that encourages our team members to broaden their horizons, urging them to bring their passion and curiosity to the workplace each day. We understand that diverse perspectives fuel progress, and we actively seek individuals who share our commitment to excellence and forward thinking. The Mission: Fixing Healthcare with Code Healthcare is full of complex, frustrating workflows that haven't changed in decades. We believe that thoughtfully applied AI can finally simplify these systems, improving both the provider's workday and the patient's experience. Specifically, we are revolutionizing the pharmacy space. We're building AI powered systems that integrate directly with Electronic Health Record (EHR) platforms, helping health systems operate effectively at scale. This isn't a "chatbot on a landing page" - it's deep, integrated infrastructure that changes how care is delivered. The Role: Impact & Strategic Scope As a Staff Engineer, your influence extends beyond a single feature or sprint. You are a technical anchor for the entire domain, making decisions that shape our product for the next 6-12 months. You will: Drive Strategy: Balance short term delivery pressure against long term technical health, knowing exactly when to push back on requirements that create unsustainable technical cost. Connect the Dots: Translate complex business goals into technical implementations for leadership and represent the engineering perspective in cross functional planning. Own the Outcome: You are responsible for work that is visibly connected to customer satisfaction and revenue outcomes. What You'll Do Technical Craft & Architecture Set the Bar: Establish the technical quality bar for the team and write code that serves as the gold standard reference implementation for others. System Design: Architect multi component systems across the team's domain, producing technical design documents reviewed by the broader organization. Modernize: Identify systemic quality issues like tech debt hotspots or test coverage gaps, and build the roadmaps for necessary migrations and remediation. Tooling: Onboard new patterns and languages as business needs evolve, ensuring we make correct long term technology choices We are AI Native by Design. You won't just build AI features; you will redefine how we work through: Agentic Workflows: Design AI driven pipelines (automated code reviews, LLM assisted QA) to multiply the team's total output. Technical Implementation: Contribute to AI powered features using your working knowledge of RAG, function calling, and evaluation frameworks. Leadership in AI: Evaluate and select AI tooling for the team, establishing prompt libraries and workflow templates for company wide adoption. Execution & Product Sense Lead Workstreams: Drive the delivery of entire projects across multiple engineers, managing cross team dependencies and owning technical roadmaps tied to product milestones. Quality Ownership: Own the end to end product surface, including correctness, reliability, latency, and user experience. User Advocacy: Run lightweight discovery - such as user interviews or support ticket analysis - to translate findings into engineering priorities. Accountability: Hold the team accountable for shipping software that solves real user problems, not just software that passes tests. Growth: You are responsible for the technical growth of your peers through coaching, 1:1s, and leading hiring panels. Culture: Drive a culture of psychological safety and high performance. Alignment: Drive alignment on contentious technical decisions by explaining the "why" behind ambiguous choices. Why You'll Love It Here The AI Playground: Get hands on with OpenAI, Langfuse, and Vertex AI to ship production features that impact real lives. No Legacy Debt: You'll be writing new code on a modern Node/TS/GCP stack. High Agency: You have a direct seat at the table to influence both the product roadmap and the company's technical direction. Manchester & Beyond: Our hub is in Manchester City Centre, but we are a distributed first team where high performers are first class citizens regardless of location. Significant Equity: Join early and take a meaningful stake in the future we are building. What We Care About You're a Seasoned Builder: You have a track record of building complex systems from scratch and can articulate your specific impact. Problem Solver: You don't wait for the perfect Jira ticket; you figure out what needs to happen to move the needle and you do it. AI Native Mindset: You already use AI tools to maximize your own workload and are eager to help others do the same. At Foundation Health, your work makes a real difference. Enjoy a culture that champions your growth and well being, within a team that's reshaping healthcare for the better. Employee stock option program Invest in our growth and share in Foundation Health's success. Generous PTO Recharge with ample paid time off that supports your well being. Remote working Work from anywhere and thrive in a flexible, digital first environment. Health, dental and vision plans Comprehensive health coverage that puts your well being first. Flexible working Customize your work schedule for a perfect work life harmony.

Salary and Employment Details Salary: £80,000 DOE Full Time Permanent Who we are SubSea Craft is a fast growing, privately-funded, UK-based innovative maritime technology company specialising in next-generation, high-performance watercraft and systems. We operate at the intersection of advanced engineering, cutting-edge design, and user-centric innovation, delivering safe, effective, and enabling solutions for both commercial and defence applications. What we offer Pension Contribution - Pension scheme with the option to contribute via salary sacrifice. Annual Bonus Scheme - Eligibility to participate in the company's annual discretionary bonus scheme, linked to individual and company performance. Life Assurance and Critical Illness Cover - Comprehensive protection including Life Assurance (4x salary) and Critical Illness Coverage. Annual Leave - 25 days of annual leave plus bank holidays. Christmas Leave - A Christmas shutdown is typically observed. Wellbeing Day - An additional Wellbeing Day each year to focus on personal health and wellbeing. Family Leave - Enhanced maternity and paternity pay. Private Healthcare - Access to comprehensive private healthcare coverage to support physical and mental wellbeing. Professional Development - Commitment to ongoing learning and career growth, supported by training programmes and access to LinkedIn Learning. Flexible Working - Opportunities for flexible working arrangements to promote work-life balance. Inclusive Culture - A professional environment that values diversity, innovation, and collaboration. Role Summary The Physical and Digital Security Manager is responsible for developing, implementing and continuously improving the organisation's protective, physical, information and cyber security arrangements, ensuring security risks are effectively managed in support of business objectives, contractual obligations and regulatory requirements. The role provides leadership across physical security, information security governance, cyber resilience and personnel security, including oversight of the Information Security Management System (ISMS), management of security risks and incidents, and assurance that appropriate controls are in place to protect people, assets, information and operations. The role acts as the company's subject matter lead for security matters, working cross-functionally with internal stakeholders, external partners and relevant authorities to support a robust and proportionate security posture across the organisation. Responsibilities Security Strategy and Governance - develop and implement the organisation's security strategy, policies and procedures aligned to business objectives, risk appetite and legal, regulatory and contractual obligations. Risk Management - lead identification, assessment and treatment of risks across physical, personnel, information and cyber security domains. Physical and Protective Security - maintain and continuously improve the integrity of physical security arrangements across company facilities, assets and operations. Information Security Management - implement, manage and continuously improve the organisation's Information Security Management System (ISMS), ensuring security policies and procedures are maintained, communicated and embedded. Cyber Security - conduct vulnerability, threat and risk assessments, ensuring appropriate mitigation measures are implemented to address identified cyber threats and weaknesses. Technology Security Oversight - oversee the security of the technological estate, including security assurance and oversight of internal IT team, outsourced IT and managed service providers. Personnel Security and Vetting - manage personnel security vetting activities, including sponsorship, submissions, renewals and liaison with United Kingdom Security Vetting where required. Third-Party and Supply Chain Security - evaluate and assure suppliers and third parties against security requirements and contractual obligations. Incident Response and Resilience - lead and coordinate response to security incidents, including containment, investigation, recovery and lessons learned. Project and Change Support - provide security subject matter expertise into company projects and change initiatives, ensuring security risks are considered throughout the project lifecycle. Training and Security Culture - promote and support security awareness and training across the organisation to strengthen security culture and compliance. Compliance and Assurance - ensure appropriate policies, controls and processes support compliance with applicable legal, regulatory and contractual security requirements. Performance Reporting - develop and monitor security performance metrics and KPIs, providing assurance and reporting to senior leadership and the board. Data Protection - support compliance with data protection obligations, including response to data incidents and data subject requests. Qualifications and Experience - Required Proven experience (5+ years) in security management spanning digital, cyber, information and/or protective security environments. Experience managing security risks across both physical and digital security domains. Strong understanding of information security principles, threats, vulnerabilities and mitigating controls. Experience implementing or operating security frameworks such as ISO/IEC 27001, NIST and relevant regulatory frameworks including GDPR. Knowledge of National Cyber Security Centre guidance, including the 14 Cloud Security Principles. Experience overseeing incident response, security assurance and third party security management. Experience overseeing or coordinating penetration testing, vulnerability assessments and remediation activities, including interpretation of findings and management of corrective actions. Experience delivering security reporting and assurance to senior stakeholders. Strong project management capability, including management of multiple initiatives simultaneously. Excellent communication, interpersonal and written skills. Ability to work effectively across functions and influence stakeholders at all levels. Eligible to obtain and maintain Security Check (SC) Clearance. Qualifications and Experience - Desirable Current SC clearance (or higher). Experience administering personnel vetting applications through United Kingdom Security Vetting. Experience operating within defence, national security, critical infrastructure or similarly regulated environments. Understanding of protective security guidance from National Protective Security Authority and National Cyber Security Centre. Eligibility for Developed Vetting where required to support specific programmes. Bachelor's degree in Information Security, Computer Science, Engineering Management or related discipline. Professional certifications such as: ISC 2 CISSP ISACA CISM ISO27001 Lead Auditor / Implementer NIST Foundation or Practitioner CCSP Chartered Security Professional (CSyP) Note Due to the nature of work undertaken at SubSea Craft, the selected candidate must be capable of meeting the security requirements of the position, which would include as a minimum existing right to live and work in the UK, Baseline Personnel Security Standard (BPSS), with UK National security clearance required for certain roles. Values Our people are our greatest asset, we continually strive to provide an excellent working environment to enable our team to do their best work. We have an agile professional workforce: we are founded on the belief that our people are valued and our business is trusted, inclusive and commercially adept. What we expect from you Teamwork, mutual respect and collaboration Initiative and independent working Honesty and integrity Business and commercial awareness Agility, adaptability and continuous development Commitment to Inclusion We are committed to building an inclusive, diverse workplace where everyone can thrive. If you require any support or adjustments to interact with us, please let us know.

Why Socure? Socure is building the identity trust infrastructure for the digital economy - verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won't be your place. If you want to help build the future of identity with a team that holds a high bar for itself - keep reading. About the Role We are seeking a highly analytical and impact-driven Senior Data Scientist to join our Data Science Data team at Socure. In this role, you will work at the intersection of data, fraud risk, and identity verification, transforming raw, complex datasets into actionable insights that directly improve our products and decisioning systems. You will own high-impact projects end to end: designing scalable data pipelines, building and evaluating models, and leading analytical deep-dives that shape how we use data to detect fraud and validate identity. You will also leverage emerging approaches, including agentic AI and LLM-powered systems, to automate data analysis, accelerate insight generation, and scale how we evaluate identity data and detect fraud patterns. This is an advanced individual-contributor role (IC4 / Senior) that requires deep technical expertise, strong business judgment, and alignment with Socure's leadership competencies, including continuous learning, effective communication, accountability, team development, decision making, and managing change. What You'll Do Design, build, and maintain scalable data pipelines and workflows to support analytics, fraud detection, model development, and ongoing data monitoring (e.g., using Spark, Airflow, or similar distributed systems). Leverage and build agentic AI and LLM-powered systems to automate data exploration, anomaly detection, vendor evaluation, and investigative workflows, increasing the speed and depth of insight generation. Build and optimize models using a variety of input data types, including tabular data, natural language, point clouds, and images, in support of fraud detection and identity verification use cases. Own data quality and integrity for critical datasets, implementing monitoring, validation checks, and anomaly detection to ensure reliable input to models and downstream decision systems. Take ownership of project outcomes from scoping through delivery, managing data quality, technical trade-offs, and timelines; proactively escrow risks and work cross-functionally to resolve challenges. Evaluate and integrate third-party data vendors and external datasets, including designing experiments to assess data quality, coverage, lift, and long term value for Socure's models and products. Collaborate closely with Product, Engineering, and Risk teams to define data requirements, shape roadmap priorities, and deliver insights that guide strategic decisions for fraud and identity products. Conduct in depth research to explore new data sources and develop novel algorithms and features that advance the state of the art in fraud detection, identity resolution, and risk scoring. Lead the end to end ML/analytics lifecycle for assigned projects: problem definition, data exploration, feature engineering, modeling, evaluation, deployment handoff, and post deployment monitoring where applicable. Present findings, trade offs, and recommendations to technical and executive stakeholders with clarity and influence, adapting communication for audiences ranging from engineers to non technical business leaders. Mentor and share knowledge with peers and junior data scientists, fostering a culture of experimentation, rapid iteration, and continuous learning aligned to Socure's leadership competencies. Stay current with advancements in AI, machine learning, and data infrastructure (including LLMs and agentic frameworks), and apply innovative techniques to real world fraud and identity problems. Model Socure's embedded leadership competencies in day to day work: continuous learning, effective communication, accountability, team development, decision making, and managing change. What You Bring Master's or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field; or equivalent professional experience. 5+ years of experience in data science, machine learning, or closely related roles, ideally in a high growth tech or fintech environment. Experience in fraud prevention, risk modeling, or identity verification, including working with noisy, adversarial, or high risk data environments. Proven experience working with large, messy, real world datasets to generate insights and drive measurable business impact (not limited to pure model development). Experience working with diverse data modalities, such as tabular data, text/language, point clouds, and images, and selecting appropriate modeling approaches for each. Strong proficiency in Python and SQL, with hands on experience using major ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit learn) for model development and evaluation. Deep understanding of machine learning algorithms, model evaluation techniques (e.g., AUC, lift, calibration, stability), and data pipeline development for both batch and near real time use cases. Experience building and maintaining data pipelines and workflows in distributed or large scale environments (e.g., Spark, Airflow, Databricks, or similar technologies). Demonstrated ability to evaluate and work with third party data vendors or external datasets, including designing tests for data quality, coverage, stability, and incremental lift over existing signals. Experience with LLMs and agentic AI frameworks/infrastructure (e.g., LangChain, LangGraph, Ray) is strongly preferred; ability to design or extend agentic workflows for analytics and data quality use cases is a plus. Demonstrated ability to proactively deliver complex outcomes, lead technical workstreams, mentor others, and influence cross functional decisions without formal authority. Excellent written and verbal communication skills, with the ability to translate complex data problems and model behavior into actionable business insights for both technical and non technical audiences. Commitment to continuous learning, professional integrity, and high standards of business ethics, consistent with Socure's leadership expectations. Please note: we are unable to provide sponsorship now, or in the future. Applicants must be located in one of the following metros ( 45 miles) to be considered: New York, Miami, DC, Seattle, San Francisco. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process-including interview or onboarding support-please reach out to your Socure recruiting partner directly.

Senior Product Manager - Engagement Products - Paysafe is a global payments platform powering the experience economy,witha strong focus on the iGaming, video gaming,e-commerce, online trading, retail,traveland hospitality sectors. With 30 years of expertise in payment technology, Paysafe helps businesses and consumers lift every experience through seamless, secure payment solutions, including card payments, digital wallets such as Skrill, eCash solutions like PaysafeCard, and a suite of local payment methods. With approximately 2,900 employees across12countriesand annualized transactional volume of $167 billion in 2025, Paysafe connects people and businesses worldwide through innovative digital payment experiences. Overview: We are seeking a Senior Product Manager to lead the development of engagement-driven products that power connected, multi-participant commerce environments. This role will focus on creating seamless, high-frequency experiences that connect consumers, merchants, and partners through a unified platform. You will play a critical role in driving user adoption, retention, and transaction growth by building and scaling capabilities across wallets, acquiring, loyalty, offers, and partner integrations. These solutions will enable dynamic, real-world and digital experiences where users can discover, transact, and engage within a single ecosystem. Responsibilities: Define and execute product strategy for engagement products that drive user adoption, retention, and transaction frequency Design and scale consumer engagement experiences, including wallet interactions, in-app journeys, and contextual commerce Build and optimize loyalty, rewards, offers, and gamification capabilities to increase repeat usage and share of wallet Develop merchant and partner engagement models, enabling participation through promotions, advertising, and value-added services Identify and deliver opportunities to connect physical and digital experiences (e.g., in-location ordering, partner integrations, event-based engagement) Own the end-to-end product lifecycle from concept through launch and continuous optimization Partner with Engineering, Design, and Partnerships to deliver scalable, high-impact solutions Leverage data and experimentation to improve engagement metrics, conversion, and monetization Support monetization strategies tied to engagement, including affiliate models, sponsored offers, and partner-driven revenue streams Ensure compliance with regulatory, privacy, and data usage requirements across markets Qualifications 5-8+ years of product management experience, with a focus on consumer engagement, merchant engagement, growth, or digital platforms Experience building or managing wallets, loyalty programs, marketplaces, or ecosystem-based products Strong understanding of behavioral design, incentives, and engagement mechanics Experience with data-driven product development, including experimentation and performance optimization Familiarity with multi-sided platforms and integrating third-party partners Ability to translate complex ecosystems into simple, intuitive user experiences Strong cross-functional leadership and stakeholder management skills Experience in fintech, payments, or commerce platforms is a plus We offer in return: The opportunity to write the history of a leading and growing multinational company Tailor-made training and ongoing development to help you enhance your skills in the field of online payments Multiple career progression opportunities in a dynamic in-house business Environment where product expertise, professional and personal commitment are rewarded Competitive remuneration and social benefits package Fun and collaborative working atmosphere Flexible working model - we encourage our employees to embrace our flexible working approach. You will be expected to work from home and spend an average of three days a week at our office as part of our hybrid work model Are you ready to take your career to the next level? Join our team that is inspired by a unified vision and propelled by passion. Paysafe provides equal employment opportunities to all employees, and applicants for employment, and prohibits discrimination of any type with regard to ethnicity, religion, age, sex, national origin, disability status, sexual orientation, gender identity or expression, or any other protected characteristics. This policy applies to all terms and conditions of recruitment and employment. If you need any reasonable adjustments please let us know. We will be happy to help and look forward to hearing from you.

About Marex Marex Group plc (NASDAQ: MRX) is a diversified global financial services platform providing essential liquidity, market access and infrastructure services to clients across energy, commodities and financial markets. The group provides comprehensive breadth and depth of coverage across four core services: clearing, agency and execution, market making, and hedging and investment solutions. It has a leading franchise in many major metals, energy and agricultural products, with access to 60 exchanges. The group provides access to the world's major commodity markets, covering a broad range of clients that include some of the largest commodity producers, consumers and traders, banks, hedge funds and asset managers. With more than 40 offices worldwide, the group has over 3,000 employees across Europe, Asia and the Americas. For more information visit Position Reference: VN2644 Department description Marex has unique access across markets with significant share globally both on and off exchange. The depth of knowledge amongst its teams and divisions provides its customers with clear advantage, and its technology led service provides access to all major exchanges, order flow management via screen, voice and DMA, plus award winning data, insights and analytics. Role Summary We are seeking a Principle DataOps Architect to own and embed a DataOps way of working across the enterprise data organisation. This is a greenfield role with a clear organisational mandate and significant scope to define how DataOps frameworks, tooling, and engineering standards are applied across our data platforms. The role is accountable for enabling the safe, reliable, and frequent delivery of production grade data capabilities, supporting real time management information, critical systems integration, advanced analytical and ML model refreshes, and accurate, timely data for customer facing AI solutions. Acting as a force multiplier for Data Engineering, AI/ML Engineering, and Analytics teams, the role combines deep technical leadership with senior level stakeholder engagement, shaping a culture of quality, automation, and operational excellence while translating governance, risk, and control requirements into engineering patterns that scale effectively and support delivery at the pace of the business. Responsibilities Role specific: Design, implement, and operationalise the DataOps target state through consistent frameworks, tooling, and standards aligned with enterprise architecture, governance, and assurance requirements. Build and maintain CI/CD pipelines for data and ML workloads, enabling controlled, automated promotion across development, staging, and production environments. Enforce separation of duties between engineering and production administration to support regulatory, risk, and operational assurance requirements. Define and implement test driven development practices for data pipelines, including unit, integration, and end to end testing. Embed data reliability patterns aligned to the Medallion Architecture (Bronze, Silver, Gold). Implement data quality enforcement, monitoring, and observability frameworks to improve platform trust and stability. Apply software engineering and SDLC best practices consistently across data and ML workloads. Provide hands on technical leadership and design advisory services to Data Engineering, AI/ML Engineering, and Analytics teams, ensuring solutions align with DataOps standards and patterns. Build and maintain reusable DataOps toolkits, templates, and reference architectures to accelerate adoption and consistency. Partner with Governance, Risk, and Control stakeholders to translate policy and regulatory requirements into pragmatic, repeatable engineering controls. Support production readiness, release governance, and post incident learning for data platforms, contributing to continuous improvement in scalability, resilience, and operational excellence. Champion DataOps, analytics, and engineering best practices across technical and business teams, promoting a culture of automation, quality, and disciplined delivery. All staff: Ensure compliance with the company's regulatory requirements under the FCA. Adhere to the operational risk framework for your role ensuring that all regulatory or company determined parameters are complied with. Role model for demonstrating highest level standards of integrity and conduct and reflecting Company Values. At all times comply with the FCA's Code of Conduct. Ensure that you are fully aware of and adhere to internal policies that relate to you, your role or any other activities for which you have any level of responsibility. Report any breaches of policy to Compliance and/or your supervisor as required. Escalate risk events immediately. Provide input to risk management processes, as required. Competencies, Skills, Experience & Qualifications Competencies Excellent verbal and written communication skills. A collaborative team player, approachable, self efficient and influences a positive work environment. Demonstrates curiosity. Resilient in a challenging, fast paced environment. Ability to take a high level of responsibility in a fast pace and high volume environment. Excels at building relationships, networking and influencing others. Strategic collaborator with insight and agility, able to anticipate future challenges, ensuring operational effectiveness. Skills and Experience: Essential Strong experience implementing DataOps or DevOps practices in complex data environments. Proven expertise designing and operating CI/CD pipelines for data and analytics workloads. Hands on experience with Databricks (AWS and/or Azure) in production environments. Strong proficiency in Python and SQL. Experience applying Infrastructure as Code (IaC) using tools such as Terraform. Deep understanding of data platform reliability, observability, and quality controls. Strong knowledge of software engineering best practices and SDLC. Ability to operate as both hands on engineer and strategic enabler. Experience working in a regulated environment and knowledge of the risk and compliance requirements associated with this. Desirable Experience in financial services, with exposure to ETD and OTC derivative markets highly desirable. Hands on experience with: Orchestration Platforms such as Azure Data Factory and Apache Airflow, Databricks Asset Bundles, Power BI, Data Transformation Platforms such as dbt and Databricks Lakeflow. Experience with Azure DevOps (ADO), Bitbucket, and Git based workflows. Advanced use of VS Code and developer productivity tooling (e.g. GitHub CoPilot). Experience supporting ML pipelines and model lifecycle operations. Prior involvement in building or scaling enterprise data platforms. Databricks Certified Data Engineer Professional. DAMA Certified Data Management Professional (CDMP). Conduct Rules You must: Act with integrity Act with due skill, care and diligence Be open and cooperative with the FCA, the PRA and other regulators Pay due regard to the interests of customers and treat them fairly Observe proper standard of market conduct Act to deliver good outcomes for retail customers Company Values Respect - Clients are at the heart of our business, with superior execution and superb client service the foundation of the firm. We respect our clients and always treat them fairly. Integrity - Doing business the right way is the only way. We hold ourselves to a high ethical standard in everything we do - our clients expect this and we demand it of ourselves. Collaborative - We work in teams - open and direct communication and the willingness to work hard and collaboratively are the basis for effective teamwork. Working well with others is necessary for us to succeed at what we do. Developing our People - Our people are the basis of our competitive advantage. We look to "grow our own" and make Marex the place ambitious, hardworking, talented people choose to build their careers. Adaptable and Nimble - Our size and flexibility is an advantage. We are big enough to support our client's various needs, and adaptable and nimble enough to respond quickly to changing conditions or requirements. A non bureaucratic, but well controlled environment fosters initiative as well as employee satisfaction. Marex is fully committed to being an inclusive employer and providing an inclusive and accessible recruitment process for all. We will provide reasonable adjustments to remove any disadvantage to you being considered for this role. We value the differences that a diverse workforce brings to the company. We welcome applications from candidates returning to the workforce. Also, Marex is committed to avoiding circumstances in which the appearance or possibility of conflicts of interest may exist within the hiring process. If you would like to receive any information in a different way or would like us to do anything differently to help you, please include it in your application.

We are Haefele Software. We are a boutique software development firm, established in London 2006, with a growing team of 50 between London and Cape Town. We are engineering focused and build high performance Agile teams, enjoying complex problems, serving a variety of industries and clients, generally abroad. As a collective, we strive to be surrounded by equally personable, sharp, and growth minded people, in a space that values relationships, people first, and pragmatic process, to foster the mentor and the mentorable. The Role Your First 6 Months at Haefele Software Your journey at Haefele kicks off with full support from our staff experience team, who'll make sure you're fully equipped with your hardware, access, and everything else you need from Day one. You'll go through a series of structured induction touchpoints across your first few weeks - These include introductions to key people, our ways of working, and our internal delivery practices - all designed to help you land smoothly and start adding value confidently. You'll meet your direct lead, connect with your client team, and get introduced to the broader leadership team. You'll start contributing to real work, with support from your Practice Lead and peers to guide you along the way. We'll also help you set some initial professional goals and check in regularly to track your progress, offer feedback, and support your growth in the role. Your Mission Architect and lead the delivery of modern data platforms (lakehouse, RTI, warehouse) using the Microsoft ecosystem. Own end to end data solutioning for clients-from discovery to go live. Define data models, flows, governance, and security practices that scale. Support pre sales and proposal efforts by crafting compelling, scalable architecture strategies. Translate technical ideas into business value during stakeholder engagements. Provide technical oversight across multiple projects and delivery teams. Mentor other architects, engineers, and analysts across the data discipline. Contribute to internal accelerators, methodologies, and reference architectures. Represent Haefele's data expertise through thought leadership and industry participation. 10+ years in data architecture or engineering roles, including leadership experience on enterprise projects. Proven track record with the Azure Data Platform: Data Lake, Synapse, Fabric, Data Factory, and Purview. Experience architecting and delivering lakehouse, data mesh, and real time data streaming solutions. Hands on experience with Databricks, Delta Lake, SQL, and Spark. Strong working knowledge of Power BI, including DirectLake and OneLake features. Deep understanding of data governance, security, and regulatory compliance. Experience supporting pre sales, scoping workshops, and architecture whiteboarding. Strong written and verbal communication skills, with experience engaging technical and non technical audiences. Prior experience working in consultancy or agency environments is highly advantageous. Essential Personal Skills Strategic thinker with the ability to zoom in and out between architecture and delivery. Effective communicator and facilitator-able to translate between business and technical worlds. Comfortable leading teams while remaining hands on with design and problem solving. Collaborative mindset-values knowledge sharing and team success over individual wins. Curious and proactive-constantly learning, exploring, and staying ahead of tech trends. Calm under pressure-navigates ambiguity and solves problems with clarity and empathy. High sense of ownership-sees projects through from vision to execution. Passionate about data as a strategic enabler, not just a backend utility. Enjoys mentoring and contributing to the growth of others. Brings a can do attitude and positivity into every engagement.