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Netcompany

<div>Company Description 
Join Netcompany in leveraging technological innovations to foster societal transformation.
As one of the fastest growing technology companies, we are disrupting the marketplace and revolutionizing the way businesses operate. Our vision is to be the leading digital challenger in Europe whilst evolving the next generation of IT consulting.
Operating across both public and private sectors, we offer a comprehensive range of services from product design and engineering, digital strategy, data services &amp; management (Machine Learning and AI), cloud migration to program delivery and service operations, our offerings are designed to meet diverse business needs. 
Job Description 
We&rsquo;re looking for a proactive and enthusiastic Marketing Coordinator (Consultant) to join Netcompany UK&rsquo;s high-performing marketing team.
Based in London and reporting directly to the Head of Marketing UK, you&rsquo;ll coordinate marketing activities and logistics across Events, Content, Employer Branding, Employee Engagement and Internal Communications, with some exposure to PR and Government Relations.
This is a fast-paced, varied role for someone who enjoys being busy, is highly organised and wants broad exposure to marketing. You&rsquo;ll work closely with the Head of Marketing UK to keep projects moving, execute delivery plans and make sure the detail is taken care of.
Role Responsibilities<ul><li>
Coordinate the planning and delivery of B2B, internal, and external events, from logistics and suppliers through to attendees, materials and onsite execution.</li><li>
Project-manage marketing activities, maintaining timelines, actions, budgets and stakeholder coordination in our CRM.</li><li>
Support the creation and coordination of Go-to-Market (GTM) collateral for the UK GTM team.</li><li>
Ensure all UK marketing materials adhere to company branding guidelines, with a strong eye for design and brand consistency.</li><li>
Write, edit and proofread clear, engaging copy for internal and external purposes.</li><li>
Coordinate with internal teams, agencies, suppliers and external stakeholders to keep projects moving and deliver high-quality outcomes.</li><li>
Provide occasional coordination and logistical support for other Marcom-related activity.</li><li>
Support the delivery of internal employee engagement campaigns and initiatives, helping bring our culture and employee experience to life</li></ul> 

Qualifications 
We&rsquo;re looking for someone who combines organisation, energy, maturity and a genuine willingness to learn.<ul><li>
Experience working in a fast-paced marketing, events, agency or similar environment.</li><li>
Genuine interest in events and the energy to thrive in an events-led environment.</li><li>
Highly organised, with strong project-management skills and an ability to juggle multiple priorities without losing sight of the detail.</li><li>
Mature, dependable and resilient, with the ability to work effectively in high-pressure, deadline-driven environments.</li><li>
Proactive and hands-on: someone who sees what needs doing and gets on with it.</li><li>
Curious and willing to learn, with the flexibility to take on new areas of marketing and develop quickly.</li><li>
Strong eye for design and good copywriting and communication skills.</li><li>
Professional and polished, with the confidence to work with senior and C-level stakeholders across the public and private sectors.</li><li>
Comfortable with Microsoft 365, with proven working knowledge of Adobe Creative Suite and Notion (or similar project-management tools), and quick to pick up new systems and tools.</li></ul> 

Additional Information 
Benefits include<ul><li>
Hybrid working model with some flexible working</li><li>
25 days&rsquo; holiday</li><li>
Private Medical Health care via Vitality</li><li>
Pension contribution, Life Assurance</li><li>
Professional certifications supported as part of learning and development.</li><li>
A range of retail discounts to enhance your lifestyle, encompassing restaurants, supermarkets, travel, leisure activities and health and well-being services.</li><li>
Access to our Employee Resource Groups, our groups represent diverse backgrounds and provide a platform for colleagues to connect, learn, and support one another.</li></ul>
Company information
We pride ourselves on our entrepreneurial spirit and our capacity for doing things differently. Our culture is built on fostering low bureaucracy, emphasizing high agility and promoting flexibility, enabling everyone to contribute their best.
Our journey began in the UK with the acquisition of Hunter Macdonald in 2017. As one of Northern Europe's most accomplished IT companies, we have expanded our headcount globally to 7400+ employees and have offices in UK, Denmark, Norway, Poland, Holland and Vietnam.
We are a Disability Confident Employer and are committed to creating an inclusive and diverse environment that celebrates every individual. Our recruitment processes are based on individual merit. If you require any reasonable adjustments or additional support during the interview process, please email HR Team at reasonableadjustments@netcompany.com for assistance.
#LI-JD1</div>

Marketing Co-ordinator

Helsing

<div>
 
 Who We Are
 
 
 
 Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.
 
 
 As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.
 
 
 We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams &ndash; and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.
 
 
 
 The role
 
 
 
 At Helsing, we are pioneering the future of autonomous decision-making for defence. Our work spans the full AI landscape, including high-volume data processing, RL agent training, and large-scale foundation models. As a member of a cross-functional team, you will architect and implement the tools and platforms that enable these breakthroughs. Your focus will be on abstracting complex distributed systems to maximise training throughput and developer velocity. We are looking for engineers who can navigate the convergence of machine learning and systems engineering to build robust, scalable platforms.
 
 
 
 What you will do:
 
 
 
 <ul>
 <li>
 Extend our highly integrated deep learning frameworks (built on top of PyTorch), making them efficient and easy to use for a wide range of use cases.
 </li>
 <li>
 Scale our current infrastructure and tooling stack to support faster and larger distributed training.
 </li>
 <li>
 Design data strategy to support large scale datasets and efficient storage, ensuring GPUs stay warm.
 
 
 </li>
 </ul>
 
 You should apply if you:
 
 
 
 <ul>
 <li>
 Hold an MSc or PhD in Computer Science or STEM field, with a focus on Machine Learning and Deep Learning.
 </li>
 <li>
 Have strong software engineering skills in Python and fluency with modern DL frameworks (PyTorch/JAX/TensorFlow). You don&rsquo;t just import libraries; you are comfortable writing custom layers, loss functions, and distributed training loops.
 </li>
 <li>
 Are a clear communicator who can build from complex theoretical concepts and contribute to the company's internal engineering culture.
 </li>
 <li>
 Have a "first-principles" mindset: you enjoy reading the latest AI optimisation blog posts and integrating them into codebases rapidly.
 </li>
 <li>
 You have debugged production ML pipelines and can tell a good war story about finding a subtle numerical or performance issue.
 
 
 </li>
 </ul>
 
 Note: We operate at an intersection where women, as well as other minority groups, are systematically
 
 
 under-represented. We encourage you to apply even if you don&rsquo;t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.
 
 
 
 
 Nice to have
 
 
 
 <ul>
 <li>
 You have hands-on experience training models on large-scale GPU clusters, implementing advanced parallelism strategies, and understanding the underlying cross-node communication patterns (NCCL, MPI).
 </li>
 <li>
 You have worked with large-scale datasets made of different modalities. Understanding the tradeoffs in locality, encoding, formats, and streaming strategies.
 </li>
 <li>
 You are proficient with workload orchestrators like Slurm, Kubernetes, or Ray, having used them to schedule and manage complex, concurrent training jobs at scale.
 </li>
 <li>
 You understand GPU architecture at a low level: memory hierarchies, warp execution, and what makes a GPU suited for training versus inference workloads.
 
 
 </li>
 </ul>
 
 Join Helsing and work with world-leading experts in their fields
 
 
 
 <ul>
 <li>
 Helsing&rsquo;s work is important. You&rsquo;ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.
 </li>
 <li>
 The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.
 </li>
 <li>
 Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.
 </li>
 <li>
 In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.
 </li>
 <li>
 We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn&rsquo;t work, and to take ownership of aspects of our culture that you care deeply about.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Competitive salary and VSOP options
 </li>
 <li>
 Relocation support: up to &euro;2,500 and 4 weeks temporary accommodation
 </li>
 <li>
 Learning: &euro;500/&pound;450 yearly allowance
 </li>
 <li>
 Health &amp; wellness: gym membership and mental health support (Nilo.health)
 </li>
 <li>
 Social: regular company events and monthly social allowances
 </li>
 <li>
 Enhanced parental leave: 22 weeks fully paid for primary caregivers &amp; 6 weeks for secondary caregivers
 </li>
 <li>
 Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work
 </li>
 <li>
 A hands-on onboarding program (affectionately labelled &ldquo;AI-duction&rdquo;), in which you will be familiarising yourself with our tools and ML pipelines used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other AI and engineering teams from day one
 
 
 </li>
 </ul>
 
 These are the core benefits across all locations, there may be additional benefits in certain locations.
 
 
 
 
 Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.
 
 
 
 Helsing's Candidate Privacy and Confidentiality Regime can be found here.
 
 
</div>

AI Research Engineer - ML Engineering

Cisco

Meet the Team
 Join Cisco Customer Experience (CX) UKI as an executive delivery leader partnering with our most prestigious enterprise customers. Our organisation is entrusted with architecting, delivering, and managing business-critical digital transformations that underpin national and global infrastructure. We combine industry-leading governance frameworks, deep technological mastery, and next-generation Artificial Intelligence (AI) to unlock substantial business value. In this high-visibility, executive leadership role, you will lead a world-class, multidisciplinary matrix organisation, steering a flagship multi-year engagement and setting the benchmark for enterprise services delivery.
 
Your Impact
 As a Programme Director, you will hold ultimate executive accountability for the overarching strategy, delivery governance, and operational excellence of a $100M+ CX Services portfolio (encompassing Professional Services and Support Services) for one of Cisco UKI’s largest strategic accounts. You will act as the principal customer contact and definitive single point of executive escalation across diverse, critical programme streams—commanding the room with C-suite and C-1 stakeholders to translate high-level business vision into flawless technical execution.
 This role demands an innovative, forward-looking executive who actively integrates Artificial Intelligence (AI) and intelligent automation into modern delivery operating models. You will spearhead the adoption of AI-augmented programme intelligence to forecast risk, optimise multi-million-pound commercial performance, accelerate delivery velocity, and orchestrate complex multi-vendor ecosystems.
 
<ul>
<li>Executive Advisory& Strategic Alignment: Serve as the primary, trusted executive advisor to customer C-suite and senior leadership; steer joint steering committees, shape multi-year technology roadmaps, and act as the definitive single point of escalation for complex delivery challenges.</li>
<li>Portfolio& Delivery Governance: Exercise end-to-end executive governance over a $100M+ multi-year services portfolio, directing large-scale, matrixed delivery teams across diverse technical streams to ensure unmatched delivery velocity, quality, and contractual compliance.</li>
<li>AI-Driven Programme Leadership: Champion and embed cutting-edge Artificial Intelligence (AI), predictive analytics, and intelligent automation across the delivery organisation to model risk, automate executive insight synthesis, optimise resource capacity, and drive continuous operational resilience.</li>
<li>Complex Transformation Oversight: Direct strategic technology initiatives across Data Centre and Campus architectures—including regulatory-driven Last Date of Support (LDOS) remediations, Cisco Nexus/ACI environments, Software-Defined Access (SDA), and Catalyst Center rollouts.</li>
<li>Commercial Strategy& P Accountability: Maintain full commercial oversight of multi-year Statements of Work (SOWs), margin realisation, third-party vendor performance, risk provisions, and revenue expansion across Professional and Support Services.</li>
<li>Organisational Leadership& Talent Cultivation: Lead, mentor, and inspire a large, multi-geography team of programme managers, architects, and engineers, instilling a culture of accountability, empathetic leadership, and AI-enabled innovation.</li>
<li>Ecosystem& Vendor Orchestration: Establish robust governance frameworks across multi-vendor consortia and strategic partners, ensuring seamless integration, accountability, and alignment with customer objectives.</li>
</ul>
Minimum Qualifications
 
<ul>
<li>Bachelor’s degree in Computer Science, Engineering, Business Leadership, or a related discipline with 15+ years of experience leading large-scale IT and network transformation programmes; OR 18+ years of equivalent enterprise delivery leadership experience.</li>
<li>Minimum of 10 years of demonstrable experience operating as the primary engagement leader and trusted advisor to C-suite and C-1 executives in multi-million-pound/dollar enterprise environments.</li>
<li>Demonstrated hands-on track record of implementing and utilising Artificial Intelligence (AI) platforms, machine learning models, or intelligent automation tools within programme governance to enhance predictive risk detection, financial reporting, or operational decision-making.</li>
<li>Proven experience exercising end-to-end governance and commercial accountability over large-scale services portfolios (£50M+ / $75M+) spanning complex multi-vendor contracts, statements of work (SOWs), and multi-geography delivery teams.</li>
<li>Demonstrated experience leading enterprise network and infrastructure transformation programmes across modern Campus and Data Centre architectures (e.g., Cisco Nexus, ACI, Catalyst, or Software-Defined Access).</li>
</ul>
Preferred Qualifications
 
<ul>
<li>Formal programme leadership certifications such as Program Management Professional (PgMP), Project Management Professional (PMP), MSP (Managing Successful Programmes), or executive Agile leadership credentials.</li>
<li>Practical experience leading AI transformation initiatives within PMO operations, such as developing agentic workflows, prompt engineering frameworks, or predictive analytics dashboards for enterprise delivery.</li>
<li>Executive background directing regulatory-driven infrastructure migrations and complex hardware/software lifecycle remediation programmes (e.g., LDOS).</li>
<li>Working knowledge of modern network automation, software-defined architectures, and cloud integration concepts.</li>
<li>Exceptional executive presence, high-stakes negotiation skills, and a proven ability to lead large, multidisciplinary matrix teams through complex organisational change.</li>
</ul>
Why Cisco?
 
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
 Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
 We are Cisco, and our power starts with you.

Customer Program Director

<div>Company Description 
IFS is a billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters&ndash;at the Moment of Service&trade;. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge.
At IFS, we&rsquo;re flexible, we&rsquo;re innovative, and we&rsquo;re focused not only on how we can engage with our customers but on how we can make a real change and have a worldwide impact. We help solve some of society&rsquo;s greatest challenges, fostering a better future through our agility, collaboration, and trust.
We celebrate diversity and understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view.
By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world.
We&rsquo;re looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference.
If you want to change the status quo, we&rsquo;ll help you make your moment. Join Team Purple. Join IFS. 
Job Description 
As a Technical Program Manager, FDE, you will oversee the implementation and long-term sustainment of AI Agent deployments for enterprise customers. You will manage cross-functional delivery programs from pilot through scale-up, ensuring customer success, operational excellence, and continuous improvement post-deployment. This role requires a blend of technical fluency, program management discipline, and stakeholder engagement. You will bridge engineering, product, and customer teams to deliver impactful AI solutions that integrate seamlessly into customer environments.
Program Leadership &amp; Delivery<ul><li>Lead end-to-end implementation programs for AI Agent deployments &ndash; from scoping and planning to go-live and sustainment.</li><li>Develop and execute detailed project plans, timelines, and success metrics aligned to customer goals.</li><li>Oversee multiple concurrent implementations, ensuring on-time, in-scope, and high-quality delivery.</li></ul> 
Implementation &amp; Sustaining Engineering<ul><li>Manage technical onboarding, configuration, and integration activities in partnership with engineering and solution delivery teams.</li><li>Establish repeatable deployment and maintenance processes for AI Agents in production.</li><li>Lead continuous improvement cycles, including performance monitoring, issue resolution, and enhancement rollout.</li></ul> 
Customer &amp; Stakeholder Management<ul><li>Act as the primary liaison between customers, engineering, and product teams during the full lifecycle of AI deployments.</li><li>Translate technical requirements into actionable plans for both customer and internal stakeholders.</li><li>Ensure proactive communication, clear expectations, and a consistently high customer experience.</li></ul> 
Cross-functional Collaboration<ul><li>Partner with Product and Engineering to feed customer insights into the roadmap.</li><li>Support the creation of deployment playbooks, documentation, and best practices for the Implementation &amp; Sustaining Engineering function.</li><li>Collaborate with Customer Success and Support to ensure smooth handoffs and ongoing operational excellence.</li></ul> 
Qualifications 
We are an AI company, so you should approach your work with a growth mindset and look for ways to leverage AI to make faster, smarter decisions.<ul><li>
5&ndash;8 years of experience in program or project management within a technology, software engineering, or AI environment.</li><li>
Proven experience leading complex software implementation or systems integration programs.</li><li>
Strong understanding of the software development lifecycle and AI solution deployment (LLMs, RAG systems, prompt engineering, vector databases, etc.).</li><li>
Proficiency with project planning and collaboration tools (e.g., Jira, Asana, Smartsheet).</li><li>
Technical familiarity with Python, APIs, and enterprise systems (CRM, ERP, Service, or Developer platforms).</li><li>
Exceptional communication skills, able to engage confidently with both executives and engineers.</li><li>
Demonstrated ability to manage competing priorities in fast-moving environments.</li></ul> 
What Success Looks Like in 3-6 Months<ul><li>
Operational Readiness: Establish a standardized implementation framework for AI deployments.</li><li>
Customer Impact: Successfully deliver at least one full-cycle enterprise deployment demonstrating measurable business outcomes.</li><li>
Cross-functional Trust: Build strong relationships with Product, Engineering, and Customer Success teams.</li><li>
Sustainment Model: Define and implement a scalable sustaining engineering process that ensures uptime, quality, and continuous optimization.</li></ul> 
Additional Information 
We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.</div>

Technical Program Manager, FDE - IFS Loops

Wise Australia Investments

Salary: 135000 - 175000 GBP Annual + RSUs
 London
 
Company Description
 
Wise is a global technology company, building the best way to move and manage the world’s money.
 Min fees. Max ease. Full speed.
 
Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.
 
As part of our team, you will be helping us create an entirely new network for the world's money.
 For everyone, everywhere.
 
More about our mission and what we offer.
 
Job Description
 
About the role: 
You'll join the Finance Tribe at a pivotal stage of Wise's growth. We've recently moved our primary listing from the LSE to Nasdaq, and as we scale globally we're investing significantly in the technical foundations of our finance systems — with SOX readiness as one of the critical drivers. Beyond audit and compliance, we see this as a chance to redefine what finance tooling looks like in the AI era.
 
You'll lead the engineering team behind Wise's Finance Systems estate — the platforms our Group Finance org runs the company financial operations on. This is a transformation role–over the next 2–3 years you'll partner with the Product and CFO org to modernise our ERP and surrounding finance tooling, stand up the engineering foundations for SOX as a newly US-listed company, and shape what AI-native finance operations look like at Wise.
 
What you'll be owning: 
Technical strategy for Finance Systems. Set the architecture and multi-year roadmap for our ERP and surrounding finance platforms.
 The team. Lead, hire, and grow a senior engineering team. Set the bar for engineering quality in a domain where correctness, auditability, and resilience is non-negotiable.
 SOX engineering foundations. Build the tooling, controls, and change-management practices that make SOX compliance a property of how we Engineer.
 Operational maturity. Drive deployment frequency, observability, incident response, and change control to a standard appropriate for systems the CFO signs off on.
 Co-own the roadmap with Finance and Product. Translate Group Finance's priorities — (e.g. close acceleration, intercompany, AP/AR, statutory reporting, others) — into a credible engineering plan.
 Automation and AI. Drive efficiencies through AI-assisted finance operational tooling by deciding where automation pays off, where it doesn't, and helping us make the right tooling choice & integrations.
 
Qualifications
 
What do you need?: 
12+ years in software engineering, including 5+ years leading engineering teams in finance, fintech, or other regulated/audited domains.
 Deep experience with Tier 1 ERPs (SAP, Oracle, Microsoft Dynamics, Workday Financials, or NetSuite at enterprise scale) — including at least one migration, consolidation, or major modernisation programme you led the engineering side of.
 SOX or equivalent control-environment experience. You've built — not just complied with — engineering practices that hold up to external audit.
 Architectural range. Comfortable across vendor configuration, custom extensions, integration middleware, and event-driven patterns. You know when to buy, when to build, and when to wrap.
 Stakeholder fluency at the CFO level. You can partner transparently with Finance Business Process leads, explain complex trade-offs, and successfully achieve organisational alignment.
 A pragmatic transformation instinct. You ship in increments, but you don't lose sight of the destination.
 
Nice to have
 
First-hand experience taking a company through SOX readiness post-listing.
 Fintech, payments, or banking background.
 Public POV on AI in the finance back-office — what works, what's hype.
 
Additional Information
 
Interested? Find out more: 
How we work – a practical guide
 
DEI @ Wise
 
Wise Tech Stack (2025 update)
 
See what it's like to work at Wise London!
 
Our Engineering career map
 
Wise Engineering – https://medium.com/wise-engineering
 
What do we offer: 
Starting salary: 135K - 175K GBP + RSUs
 
Wise Benefits
 
Interested in more than one role?
 
If you're interested in multiple roles, please apply for just one—the one you're most excited about. If you submit multiple applications requiring the same assessment, we'll continue your recruitment journey using your first application, and any duplicate applications will be automatically closed. This helps ensure a fair and consistent interview process. If another role feels like a better fit, you can discuss this with your recruiter during the process.
 
#LI-AB3 #LI-Hybrid
 
For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.
 
We're proud to have a truly international team, and we celebrate our differences.
 Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
 
If you want to find out more about what it's like to work at Wise visit Wise.Jobs.
 
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
 
More about the team
 
Find out more about our team, how we work and other open roles.
 
Find out more about what we offer our employees
 
From me days to mission days, sabbaticals to stock, and everything in between. For everyone, everywhere. We’re people building money without borders. Find out what you'll get if you join us.
 
Join us
 For everyone, everywhere. We’re people building money without borders.

Senior Engineering Lead - Group Finance Systems

Chubb Insurance

<div><h1 class="jobSectionHeader">AI Solutions Analyst (Mandarin Speaking)
</h1>Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. As an underwriting company, we assess, assume and manage risk with insight and discipline. We service and pay our claims fairly and promptly. The company is also defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&amp;P 500 index. Chubb maintains executive offices in Zurich, New York, London, Paris and other locations, and employs approximately 40,000 people worldwide. Additional information can be found at: www.chubb.com .
This role will be to work as part of the AI Business Solutions group and join our fast-paced, high-energy team responsible for transforming the way Chubb operates globally and deliver meaningful business impact across the value chain.
This position offers the opportunity to leverage the entire spectrum of digital capabilities towards solving a wide variety of business problems as well as unique challenges in problem-solving. The focus is on applying a combination of industry-standard practices and innovative ideas to transform the way Chubb operates fundamentally.</div>
 <div>Required
<ul><li>Experience in managing transformation projects in the business with the ability to work with cross functional teams to achieve the goals of the projects
</li><li>Sound understanding of technology, business and operations with hands on experience in delivering projects across the various functions.
</li><li>Strong Insurance domain knowledge with other core insurance functions such as claims, marketing, distribution, legal and operations.
</li><li>Understanding of Insurance sales and distribution for Consumer line of products and any experience in telemarketing domain is desirable.
</li><li>Industry certifications such as ACII, FCII, CIP, CPCU preferred.
</li><li>Master&rsquo;s/Bachelor&rsquo;s degree in Engineering (Computer Science), Business, Mathematics, Statistics, Economics, or related discipline.
</li><li>Creative thinker with proven skills in conceptualizing new product features, define product roadmaps, develop business cases and proposals for solutions built on digital technologies.
</li><li>Ability to work with cross functional global and local teams for the various projects across multiple time zones as and when required.
</li><li>Ability to deliver efficient and creative solutions in an incredibly fast paced environment with limited resources and minimal supervision.
</li><li>Builds and maintains effective relationships with internal and external stakeholders.
</li><li>Have an awareness of suitable KPIS associated with large scale projects .
</li><li>The ability to prioritise and manage workloads within tight timescales and budgetary constraints;
</li><li>An eye for detail, excellent communication skills and be able to interrogate reported information and challenge sources where inconsistencies are found.
</li><li>Knowledge of Property and Casualty Products, Accident and Health Products or Personal Lines Products useful.
</li><li>MUST be fluent in Mandarin and English 
</li></ul>We offer in return!
Competitive salary &amp; pension scheme, discretionary bonus scheme, 25 days annual leave plus ability to purchase 5 additional days, hybrid working options, Private Medical cover, Employee Share Purchase Plan, Life Assurance, Subsidised gym membership, Comprehensive Learning &amp; development offerings, Employee Assistance program.
Integrity. client focus. respect. excellence. teamwork
Our core values dictate how we live and work. We&rsquo;re an ethical and honest company that&rsquo;s wholly committed to its clients. A business that&rsquo;s engaged in mutual trust and respect for its employees and partners. A place where colleagues perform at the highest levels. And a working environment that&rsquo;s collaborative and supportive.
Diversity &amp; Inclusion. At Chubb, we consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness and respect, regardless of their age, disability, race, religion or belief, gender, sexual orientation, marital status or family circumstances.
We are committed to ensuring our recruitment process is inclusive and accessible to all. If you have a disability or long-term condition (for example dyslexia, anxiety, autism, a mobility condition or hearing loss) and need us to make any reasonable adjustments, changes or do anything differently during the recruitment process, please let us know.</div>

AI Solutions Analyst (Fluent in Mandarin & English)

Xantura Limited

<div>
 
 
 Department:
 
 Platform Delivery
 
 
 
 Location:
 
 London
 
 
 
 Compensation:
 
 &pound;50,000 - &pound;70,000 / year
 
 
 
 
 Description
 
 
 
 In this role you will work in the Platform team &ndash; a function for the deployment and evolution of the backend platform that underpins the core of the Xantura business.
 
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Own and advance a predictive modelling platform that scales across problem types and tenants, using it to design, implement, and iterate models (embedding-based sequence encoders, temporal survival models, gradient-boosted decision trees) that predict key vulnerabilities in housing, health, and other social domains.
 </li>
 <li>
 Track developments in ML and frontier models, running structured experiments to bring promising techniques into production safely.
 </li>
 <li>
 Build robust evaluation pipelines, training datasets, and model infrastructure to support continuous improvement of natural language &amp; predictive analytics.
 </li>
 <li>
 Ensure responsible AI deployment, embedding ethical and regulatory considerations into every stage of development.
 
 
 
 </li>
 </ul>
 
 Skills, Knowledge &amp; Expertise
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Machine Learning, or a related technical field &ndash; or equivalent practical experience.
 </li>
 <li>
 3+ years of professional experience as an ML Engineer, or related role.
 </li>
 <li>
 Strong programming skills and production experience in Python.
 </li>
 <li>
 Experience building and maintaining data or ML pipelines with an orchestration tool such as Dagster (or Airflow, Prefect, etc.).
 </li>
 <li>
 Hands-on experience with common ML libraries and frameworks, e.g. PyTorch, scikit-learn, and gradient-boosting libraries such as XGBoost or LightGBM.
 </li>
 <li>
 Clear evidence of practical experience defining and deploying containerised systems, i.e.:
 <ul>
 <li>
 Implementing APIs for internal services, e.g. via FastAPI;
 </li>
 <li>
 Deploying containerised systems to production, in particular via Kubernetes.
 
 
 </li>
 </ul>
 </li>
 </ul>
 
 
 In addition, the following would be an advantage:
 
 
 
 <ul>
 <li>
 PhD in Computer Science, Machine Learning, or a related field with a strong publication record in text analytics, representation learning, or applied predictive modelling.
 </li>
 <li>
 Practical experience productionising LLMs, i.e.:
 <ul>
 <li>
 Working with vector databases and developing retrieval-augmented generation (RAG) pipelines &ndash; experience setting up/configuring vector DBs, as well as using, would be advantageous;
 </li>
 <li>
 Finding and productionising recent AI models (e.g. via Huggingface (transformers), OpenAI APIs);
 </li>
 <li>
 Building agentic systems (e.g. via LangChain, AutoGen, PydanticAI).
 </li>
 </ul>
 </li>
 <li>
 Evidence of participating in Open-Source Software (OSS) development, public hackathons, or other sharable coding samples.
 </li>
 <li>
 Deep expertise in embedding-based architectures, including bi-encoders, cross-encoders, etc. for long-horizon text or temporal prediction tasks.
 </li>
 <li>
 Practical experience building and serving production-ready, asynchronous APIs for embedding and/or other compute-intensive services.
 </li>
 <li>
 Proficiency in Python for building high-performance data and model pipelines, with strong software engineering discipline (testing, versioning, CI/CD).
 </li>
 <li>
 Good familiarity with the Azure ecosystem (Azure Kubernetes Service, Azure Batch, Azure AI Foundry, Azure Machine Learning, Azure Blob Storage, Azure Key Vault) .
 
 </li>
 </ul>
 This is a Hybrid opportunity with the expectations of being in the office 1 - 2 days a week.
 
 
 
 Job Benefits
 
 
 
 <ul>
 <li>
 Competitive salary reviewed annually
 </li>
 <li>
 Work for a passionate, mission-driven company solving society&rsquo;s big problems
 </li>
 <li>
 Work flexible hours around life commitments with a focus on delivering company value rather than hours worked
 </li>
 <li>
 Training and development opportunities
 </li>
 <li>
 25 days annual leave (plus bank holidays)
 </li>
 <li>
 Company pension
 </li>
 <li>
 Private medical insurance
 </li>
 <li>
 Generous enhanced parental leave policies
 </li>
 <li>
 Cycle to work scheme
 </li>
 <li>
 Flu Vaccinations,
 </li>
 <li>
 Eye Test and contribution towards Glasses for VDU use
 </li>
 <li>
 Employee Assistance Programme
 <ul>
 <li>
 Mental health and wellbeing support
 </li>
 <li>
 Remote GP access
 </li>
 <li>
 Counselling/therapy
 </li>
 <li>
 Physiotherapy
 </li>
 <li>
 Medical second opinions
 
 </li>
 </ul>
 </li>
 </ul>
</div>

Machine Learning Engineer

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