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hackajob is collaborating with AND Digital to connect them with exceptional professionals for this role. \n Description \n Role Profile: AWS Connect Developer \n Duration: 12 Months+ \n Who We Are: \n AND Digital are a tech company focused on accelerating digital delivery and dedicated to closing the digital skills gap. We’ve been helping organisations build better digital products and stronger digital teams since 2014. \n We believe our work should always leave a legacy for the client. We do this through close relationships with our offices (or ‘Clubs’) so that our partners are always prioritized by a regional team close to them. \n This unique model has driven success for our clients and ourselves, evidenced by our remarkable organic growth since 2014. Today we number more than 1,500 people with Clubs all over the UK and Europe with plans for global expansion in the next couple of years. \n Join us - and help us fulfil our mission to close the world’s digital skills gap. \n Role Overview \n We are seeking an experienced AWS Connect Developer to design, develop, configure, integrate, and support solutions built on Amazon Connect. The role requires strong hands-on experience across contact-centre functionality, customer journeys, Cases, Tasks, Contact Flows, routing, integrations, APIs, and AWS services. \n The successful candidate will be comfortable translating business and customer-service requirements into scalable Amazon Connect solutions and working across development, testing, deployment, and production support. \n Core AWS Connect Experience \n The candidate should have strong practical experience with: \n\n • Amazon Connect architecture, configuration, and administration.\n, • Contact Flows and modular/reusable flow design.\n, • Queues, routing profiles, agents, users, security profiles, and hours of operation.\n, • Contact Centre voice and telephony configuration.\n, • IVR and self-service customer journeys.\n, • Inbound and outbound contact handling.\n, • Customer Profiles and customer data integration.\n, • Contact Trace Records (CTRs) and contact history.\n, • Call recording, monitoring, quality management, and reporting.\n, • Contact Lens and conversational analytics where required.\n, • Prompts, audio, text-to-speech, and speech recognition.\n, • Lambda integrations within Contact Flows.\n, • Amazon Connect APIs and SDKs.\n, • Event-driven integrations using AWS services.\n, • Troubleshooting and performance optimisation of Connect solutions.\n\n Amazon Connect Cases \n Hands-on experience with Amazon Connect Cases is required or strongly preferred. \n The developer should be able to: \n\n • Design case-management journeys around customer interactions.\n, • Configure case templates, fields, statuses, and workflows.\n, • Understand the relationship between contacts, customers, and cases.\n, • Create and update cases through Amazon Connect functionality and APIs.\n, • Integrate Cases with external CRM, case-management, or customer-service platforms.\n, • Design Contact Flows that create, retrieve, update, or associate cases where appropriate.\n, • Support agent workflows involving multiple contacts against a single customer case.\n, • Implement appropriate permissions and access controls for case information.\n, • Troubleshoot case creation, retrieval, and integration issues.\n, • Consider reporting, auditability, and operational requirements when designing case solutions.\n\n Amazon Connect Tasks \n Experience with Amazon Connect Tasks should form part of the role. \n Responsibilities may include: \n\n • Designing task-based agent workflows.\n, • Configuring task routing and queues.\n, • Creating follow-up tasks from customer interactions.\n, • Using Tasks for asynchronous customer-service activities.\n, • Integrating Tasks with Lambda, APIs, CRM platforms, and other AWS services.\n, • Designing workflows where a voice/contact interaction creates subsequent agent work.\n, • Managing task priorities, expiry, routing, and agent assignment.\n, • Troubleshooting task-routing and workflow issues.\n, • Using Tasks alongside Cases to create an end-to-end customer-service journey.\n\n Contact Flows and Customer Journeys \n The developer should be highly proficient in Contact Flow development, including: \n\n • Inbound call flows.\n, • Customer authentication.\n, • IVR menus.\n, • Queue and routing logic.\n, • Customer identification and lookup.\n, • Case lookup and creation.\n, • Task creation.\n, • Agent transfer and escalation.\n, • Callback functionality.\n, • Error handling and fallback journeys.\n, • Business-hours and holiday handling.\n, • Customer data collection.\n, • Lambda/API integration.\n, • Dynamic prompts and attributes.\n, • Secure handling of customer information.\n, • Reusable flow modules and maintainable flow architecture.\n\n Testing and Deployment \n The developer will be expected to: \n\n • Produce technical designs and implementation documentation.\n, • Develop solutions in controlled environments.\n, • Create unit and integration tests.\n, • Test Contact Flows and integrations end-to-end.\n, • Support UAT.\n, • Investigate and resolve defects.\n, • Deploy changes through appropriate CI/CD processes.\n, • Maintain version control and release documentation.\n, • Support production releases and rollback procedures.\n\n Essential Experience \n\n • 3+ years of software development/integration experience.\n, • Strong hands-on Amazon Connect development experience.\n, • Strong Contact Flow experience.\n, • Experience with AWS Lambda and AWS APIs.\n, • Experience with REST/API integrations.\n, • Experience with Amazon Connect Cases.\n, • Experience with Amazon Connect Tasks.\n, • Experience integrating Amazon Connect with external systems.\n, • Experience troubleshooting production contact-centre environments.\n, • Understanding of AWS IAM, security, logging, and monitoring.\n, • Experience with Git and modern development practices.\n\n Equal Opportunities Statement: \n At AND Digital we embrace diversity and are committed to equal opportunities. We are actively recruiting for a diverse and inclusive workforce so want to ensure we do everything we can to support your application. \n We want you to feel safe and empowered to let us know if you require any adjustments to be made to your application or interview process so please speak to our recruitment team. \n AI Statement \n We champion tech that helps people work smarter, but we want to get to know you! If you use AI to assist with your application or interview prep, please ensure all information submitted remains an accurate, truthful representation of your personal achievements and capabilities rather than generating false or misleading information. We may reject applications where AI is used inappropriately at any stage of the recruitment process.

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n 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. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n At Wise, we're on a mission to build money without borders — instant, convenient, transparent, and eventually free. For businesses, that journey begins with verification (KYC), and getting it right is one of the highest-leverage things we do: every business we verify smoothly gets faster access to the financial services they need to grow, and every decision we make well keeps the financial system safer for everyone who relies on it — a small business getting paid on time, a migrant worker sending money home, a nonprofit moving funds across borders. There's a less visible side of this too: money launderers, fraudsters, sanctioned entities and organised crime networks actively try to exploit these same rails, and the harm they cause lands hardest on the people with the fewest defences against it. Getting Business KYC right is how we keep the door open for the first group and quietly close it on the second — and in this role, you'll be directly shaping that, globally. \n Job Description \n We're looking for an Engineering Lead to manage the Platform team within the Business Onboarding Verification (BOV) organisation — based in London. This team owns the platform rails that Business verification is built on; the sister team (BOV Global) uses those rails to ship customer-facing journeys and agent tooling. There are three organisations in the wider squad — Business Onboarding Verification, Personal Onboarding Verification, and Wise Platform Verification. \n The scale we operate at \n\n • \n In FY2025, 15.6M people and businesses used Wise; we onboarded over 5.9M new customers (~500K/month) and moved £145B across borders (~£400M/day) across 160+ countries and 40+ currencies. \n • \n Our onboarding decisions gate ~£25B/year in cross-currency volume. \n • \n Verification is on the critical path for every new signup and for ~10 product teams across Wise that build on our rails today. \n\n Our verification systems are not supporting tools — they are core production infrastructure that protects customers, enables growth, and must stay reliable under constant change in regulations, policies and evolving threat patterns. \n The team you'll lead - Verification Platform \n You will lead the Verification Platform (under BOV) team in London — a cross-functional engineering team whose mission is to provide the BOV platform (Onboarding Platform for business, requirement evaluation, collection, review, unified vendor integrations, repapering rails) that lets BoV Global and regional teams iterate safely and quickly on business verification without rebuilding plumbing. Concretely, this team owns three work-streams: \n\n • \n Onboarding Platform (for business) — modelling Business requirements as configuration-as-a-service, per legal-entity type (Ltd, LLC, Sole Trader, Partnership, Corp), with versioned rules and repapering / refresh rails so a policy change is a config choice, not a multi-quarter project. \n • \n Review tooling platform — the review surface on which Global (and regional teams) build their review flows; the foundation that makes AI-assisted review and review automation measurable and safe to roll out. \n • \n Unified Vendor Integrations — one observable, retryable, swappable gateway for registry, adverse media, website signal, Acceptable Use Policy and Business Onboarding data vendors, replacing today's point-to-point integrations. \n\n Your mission \n As the Engineering Lead for BOV Platform, you will: \n\n • \n Lead, coach and mentor a cross-functional team of engineers — supporting their growth, well-being and performance, and empowering them to do their best work. \n • \n Own the technical roadmap for the BOV platform — make sure it addresses real reliability, security and scalability concerns of the Business verification stack. \n • \n Partner deeply with BOV Global, Personal Onboarding, Wise Platform Verification and Mitigation Handling so the platform serves real product needs — not what the platform team thinks the platform should be. \n • \n Be an active contributor to delivery. Support day-to-day execution, get hands-on when the team absolutely needs it, and stay in touch with the technology stack — leading by example. \n • \n Own the health and productivity of the team, fostering a culture of ownership, transparency, bottom-up decision-making, collaboration and continuous improvement — the way Wise engineering works. \n • \n Own operational excellence. Ensure appropriate on-call rotas, SLAs, documentation and observability for platform services; run incidents in your area of ownership and turn each into a durable fix. \n • \n Collaborate globally with engineering leads across Global KYC and Onboarding (London, Tallinn, Budapest and Hyderabad) and the wider Wise engineering community. \n • \n Run the engineering rituals of the team so we stay agile and predictable in product development. \n\n Why this is an exciting problem \n Picture a pharmaceutical company incorporated in Singapore, with one shareholder living in Dubai, trading in the UK and Singapore. In one signup, that business touches at least four regulatory perimeters — Singapore, UK, UAE for the shareholder, plus industry-specific controls for pharma (enhanced due diligence, sanctions, source-of-funds). Our job is to work out — in real time — exactly what each regulator needs, verify it against the right sources, and hand the customer a signup that feels effortless. Now scale that across 160+ countries and the millions of businesses we have. BOV Platform is building the framework that makes this possible without a new (or at most minimal) codebase per market, and the interesting problems stack up: \n\n • \n Configuration-driven, versioned rules at scale. How do we express "what KYC do we need for entity type × country × industry × partner × risk tier?" as data — hot-reloadable, auditable, and safe to change weekly — while giving regulators a clean audit trail of which version passed which customer? \n • \n Distributed decisioning under real-world latency. A single verification decision fans out to 10+ internal services and external vendors (registry lookups, sanctions, PEP, document verification, ML models). Sagas, idempotency, timeouts, and graceful degradation all matter — because "we couldn't reach the sanctions provider" isn't an acceptable customer experience. \n • \n Consistency vs. availability on the KYC decision path. The same customer hits us from web, mobile and partner APIs concurrently. Where is strong consistency non-negotiable (a compliance-gated transfer) vs. eventual consistency fine (background re-screening)? How do we avoid decision drift across regions and entities? \n • \n Event-driven re-evaluation and repapering. Rules change; a country updates its policy; a customer's risk profile shifts. How do we re-decide retroactively across millions of customers without stampeding downstream systems or ops queues? \n • \n ML/AI in the loop — safely. Where does automation genuinely help (document classification, risk scoring, agent copilots), where does it not, and how do we ship it with safe fallbacks, clear observability and a human review path that doesn't become the bottleneck? \n\n That's the problem your team will help solve — with real regulatory teeth, real customer impact, and enough platform surface area to keep senior engineers engaged for years. \n Qualifications \n A bit about you \n\n • \n You have proven experience leading and mentoring software engineers, including managing performance, well-being and growth, and handling difficult situations constructively (360 feedback, calibration, performance reviews). \n • \n You have built and led platform / infrastructure teams whose customers are other engineering teams — you know how to say no, how to prioritise for leverage, and how to keep a platform from turning into a bespoke-request queue. \n • \n You have solid Java (17+) knowledge and hands-on experience with Spring / Spring Boot, and you're happy to stay hands-on when the team needs it. \n • \n You have strong system-design skills with real experience of distributed, high-throughput, resilient services — event-driven architectures, sagas, idempotency, orchestration vs. choreography trade-offs. \n • \n You have experience working with relational and non-relational databases, query optimisation and schema design. \n • \n You have led the design and delivery of complex engineering solutions and understand their broader impact on business outcomes — including trade-offs between short-term product wins and long-term platform health. \n • \n You approach challenges with a strong product and customer mindset, prioritise customer needs (both external customers and the internal teams you serve), and make data-driven decisions. \n • \n You have excellent communication skills — you can articulate complex technical concepts to technical and non-technical audiences, and are comfortable working across geographies and time zones. \n • \n You show strong ownership and accountability, are able to operate beyond a purely technical scope, and act as an enabler for the extended team. \n What you can expect as an Engineering Lead at Wise \n We don't measure seniority by years of experience, but by the impact you create and the complexity of problems you help solve. You will experience leading a product engineering team first-hand — one of Wise's unique strengths. As an EL1 at Wise, you will: \n • \n Lead a cross-functional platform team, with a clear scale-up path as BOV Platform's remit grows (requirements, review platform, vendor gateway, repapering). \n • \n Own the technical roadmap and vision for your team and contribute to the product roadmap and vision for BOV. \n • \n Propose ideas to improve and grow the BOV platform; work with stakeholders (BOV Global, Personal Onboarding, Wise Platform, Mitigation Handling, Risk & Compliance) to build conviction to unblock opportunities. \n • \n Build strong relationships with the sister BOV Global crew and with the wider Global KYC and Onboarding squad across London, Tallinn, Budapest and Hyderabad. \n • \n Embrace long-term ownership of projects while training other engineers to reduce single points of failure; identify gaps and plan ahead for hiring. \n • \n Be active in architecting and designing services that allow for iterative delivery and future scaling — through feedback and reviews. Get hands-on when the team absolutely needs it, to stay in touch with the technology stack. \n • \n Collaborate closely with product, analytics, compliance and operations to ensure smooth and effective delivery. \n\n Additional Information \n 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. \n We're proud to have a truly international team, and we celebrate our differences. \n 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. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

Who We Are Verve has created a more efficient and privacy-focused way to buy and monetize advertising. Verve is an ecosystem of demand and supply technologies fusing data, media, and technology together to deliver results and growth to both advertisers and publishers–no matter the screen or location, no matter who, what, or where a customer is. With 30 offices across the globe and with an eye on servicing forward-thinking advertising customers, Verve’s solutions are trusted by more than 90 of the United States’ top 100 advertisers, 4,000 publishers globally, and the world’s top demand-side platforms. Learn more at verve.com.Senior Insight AnalystCaptify, part of Verve, enables brands to understand, activate and measure real-time intent across the entire consumer journey, thanks to its proprietary search intent dataset. Leveraging over 15 years of machine learning expertise, Captify’s AI technology ingests over one billion daily search events from open-web publishers and LLMs, transforming search signals into actionable audiences. Captify’s exclusive, first-party search intent data fuels pre-campaign strategy and audience development, multi-channel activation across quality and brand-safe inventory, and unique measurement and insights for the world’s biggest brands.ROLE OVERVIEWThe Insight Analyst helps turn consumer intent data spanning search, AI and beyond into clear, commercially relevant stories that inform marketing strategy and demonstrate media impact. This is a client-facing role for someone with a strong foundation in AI and analytics, a talent for storytelling, and a genuine curiosity about consumer behaviour, what drives effectiveness, and the “why” behind the numbers. They will support and own insight projects from end to end, partnering with internal stakeholders across commercial, product, marketing and customer success teams, using the latest AI capabilities alongside established SQL & Python approaches to deliver actionable recommendations.KEY RESPONSIBILITIESTurn Data into Clear, Compelling Stories: Translate search, LLM, audience and campaign data into persuasive, insight-led narratives for clients and internal teams. Yourwork will help shape marketing strategy, strengthen recommendations and create compelling narratives that connect clearly to action.Evaluate Marketing Performance and Impact: Analyse digital media campaign effectiveness with a focus on ‘why’, not just ‘what’. Deliver action-oriented recommendations that help clients optimize strategy, improve performance and understand the value of their media investment.Be a Trusted Partner: Serve as a point of contact for internal stakeholders and external clients, helping them understand performance, insight-led opportunities, and the contextbehind the numbers. Bring confidence, curiosity and commercial awareness to business questions and recommendations.Support Insight Projects from Brief to Delivery: Contribute across the full project lifecycle, from interpreting briefs and shaping hypotheses to exploring data, developing the story and delivering polished outputs for clients and commercial teams.Advance Innovation: an entrepreneurial mindset is essential as we leverage frontier AI capabilities to drive insight innovation and operational efficiency across the business.WHAT YOU NEED TO BE SUCCESSFUL (Essential Skills & Experience)Relevant Industry Experience: 2-4 years of professional experience in an insights, strategy, analytics, or consumer research role, ideally within a media agency, adtech, publisher, or in-house marketing / consumer insights team. Ad Industry & Measurement Knowledge: Strong understanding of the digital advertising ecosystem, media landscape and campaign measurement fundamentals: including performance KPIs, brand lift, testing approaches and how to evaluate marketing effectiveness.Data Storytelling: Ability to turn raw, complex data into compelling and commercially relevant stories that lead to action. You know how to build a presentation with a strongnarrative, not just a collection of charts.Client-Facing Communication: Outstanding verbal and written communication skills, with the confidence to convey information empathetically and decisively.Analytical Mindset: A thoughtful, problem-solving mindset with genuine curiosity about people, markets and uncovering the behaviours driving the data.Technical Foundation: AI: A forward-looking approach to AI within an enterprise environment. The right candidate can demonstrate the effectiveness of AI as a working delivery partner; not just a chatbot.Data Analysis: Strong quantitative skills with the ability to identify meaningful patterns and trends, spot anomalies and errors, and connect concise findings to meaningful business outcomes.SQL: Foundational knowledge of SQL is highly desired to support ideation and code debugging.DESIRABLE SKILLS & QUALIFICATIONSInterest in coding, particularly Python and advanced SQL, to support automation and innovation initiatives.Experience with Databricks or similar cloud-based data workspace platforms Interest in building smarter, more efficient tools by applying AI to improve agent or research workflows, insight generation and data storytelling in a marketing and media environment.Strong interpersonal and presentation skills, and the ability to thrive in fast-moving environments.Verve provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. If you are a California resident subject to the California Consumer Privacy Act, click here to understand how Verve processes your personal information and how you can exercise your rights.If you are located in the EU or UK visit our privacy policy to understand how Verve processes your personal information and how you can exercise your rights.

We have the following estate operative role available in E16. \n \n Start Date: ASAP \n Salary: £26,000 per annum \n Hours of Duty: 35 hours per week, Monday - Friday, 8.30am - 4.30pm, with a one hour unpaid break \n Responsible To: Estate Manager \n Benefits: Increase to £28,000 after successful probation, 1 day Birthday paid leave, 1.5 x overtime, 4% employer pension contribution \n \n \n Responsibilities & Duties \n \n\n • Collect all loose rubbish from ground (front & rear), paths and porches.\n, • Collect rubbish from beside refuse chute and place in bins outside, in preparation of the collection by the local authority refuse team.\n, • Check bin rooms and sweep as necessary.\n, • To walk the building in the morning and evening - and various intervals during the day. Inspecting for cleanliness, repair and security. All defects should be reported to the managing agent. It is important that the fire escapes are included within these patrols.\n, • Ensuring all external doors, windows, fire exit doors, plant room doors and bin store doors are kept closed, and where applicable locked at all times. This includes the fire exit doors. (Bin store doors to be unlocked when refuse collection is due.)\n, • Inspect all common parts, replace light bulbs where necessary.\n, • Monitor car parking. Noting unauthorised vehicles, take appropriate action. (Persistent offenders to be reported to the Managing Agent.) Ensure access is possible for emergency vehicles at all times.\n, • Patrol external areas (when dark) - check possible areas for vagrants.\n, • Keep note in log book of all faults reported by residents.\n, • Check entrances and staircases are clean at all times.\n, • Inspect common areas for any obstructions or hazards and ensure appropriate action to remedy. (I.e. either speak directly with the resident concerned or the Managing Agent.)\n, • Ensure that the Porters desk is clean at all times. (fully dusted/polished and tidy)\n, • Clean entry phone panel.\n, • Wipe any light marks from the walls in the entrance, hallway and stairwells.\n, • Water plants (where applicable).\n, • Visual inspection of all drains and gutters (including roof area) to ensure they are free from rubbish/debris/obstruction.\n, • Check locks of all communal doors and gates to ensure fully function. (Notify residents if there are any defects.)\n, • Sweep external terrace area/surround of building, including external metal work & louvers (hose/wash down where necessary.)\n, • Ensure refused chute not blocked.\n, • To be courteous and helpful to all resident as well as to residents' staff and guests and to contractors employed by the residents of the building.\n, • Prepare and keep and inventory of all tools and equipment on site. To generally maintain records of central stores for the building (light bulbs, cleaning supplies, keys etc.) in a well organised way, ensuring that an appropriate quantity are always available. (To keep all stock, material and equipment away from public access view/reach.)\n, • Clear footpaths and steps of snow and ice in adverse conditions.\n, • To be flexible and undertake duties, within reason, as required by the Managing Agents and/or the board.\n, • Regular testing of smoke/fire alarms, emergency lights\n, • Be aware of any unusual damage (e.g. Possible break-in) and report to Managing Agent and/or a member of the board immediately.\n, • Carry out maintenance work around the development as instructed by senior management.\n, • Conduct routine painting and decorating of the communal areas as directed by senior management.\n, • Light plumbing work as and when required. Bleeding radiators.\n, • AOV testing to be carried out monthly\n, • Emergency Lighting Flick test to be carried out weekly.\n, • Undertake any other reasonable duties as requested by management, where there is a legitimate business need, including attending and carrying out work on-site when required.\n\n \n Person Specification \n \n\n • Honest and Reliable\n, • Team Player\n, • Works well under pressure\n, • Excellent communication and customer service skills\n, • Excellent time keeping\n, • Professional appearance\n\n \n Essential Qualifications \n\n • UK Drivers Licence\n\n \n Qualifications Desired \n \n\n • GVNQ/ Apprenticeship - Maintenance related\n, • Health & Safety\n\n

Head of Product - AI Products \n Build the Product Organisation Defining AI for Real Estate \n Location: London \n \n About Smart Bricks \n Smart Bricks is building the intelligence layer for real estate. \n Every year, trillions of dollars are invested across residential, commercial and alternative real estate using fragmented systems, disconnected data and manual workflows. We're building an AI-native platform that enables investors, developers, lenders, governments and Fortune 500 companies to source opportunities, underwrite investments, perform due diligence and manage portfolios using AI. \n Alongside our software platform, we're building an Applied AI Lab that works directly with some of the world's largest real estate organisations to redesign complex institutional workflows using AI. \n Every customer engagement generates institutional knowledge. Every deployment strengthens the platform. Every improvement compounds across every future customer. \n We've raised over $5 million, led by Andreessen Horowitz (a16z), and are backed by some of the world's leading technology ecosystems, including Techstars, Google, NVIDIA and Microsoft through their AI and startup programmes. \n Our Founder is a Forbes 30 Under 30 entrepreneur and Andreessen Horowitz Scout, helping identify and back the next generation of AI founders globally. \n We're now building our founding leadership team in London. Our London team is based at Balderton Capital, one of Europe's leading venture capital firms, putting us alongside some of Europe's most ambitious founders, investors and technology companies. \n We're looking for an exceptional Head of Product to define what Smart Bricks becomes and build the product organisation behind it. \n \n Why Exceptional Product Leaders Join Us \n 🚀 $5M+ raised, led by Andreessen Horowitz (a16z) \n 🤝 Backed by Google, NVIDIA, Microsoft and Techstars \n 🏢 Building our core team in London at Balderton Capital \n 🤖 Building AI-native products for complex, high-value institutional workflows \n 🌍 Opportunity to rethink how one of the world's largest industries works \n 🏗️ Build the Product organisation from the ground up \n \n The Role \n This isn't a traditional Head of Product role. \n You're not joining to inherit a roadmap, optimise an established product or manage a team of PMs. \n You're joining to define what gets built. \n As Head of Product, you'll own the product vision, strategy and quality of Smart Bricks' institutional platform. \n You'll work directly with the Founder & CEO, Head of Engineering and Head of Applied AI to invent entirely new ways for investors, developers, lenders and governments to work with AI. \n You'll spend time inside real investment workflows, understand how decisions actually get made, prototype radically better ways of working and turn what we learn from enterprise customers into scalable products. \n The question you'll constantly ask is: \n If AI existed first, how would this workflow work? \n Not: how do we add AI to the software that already exists? \n The product decisions you make in your first year will shape what Smart Bricks becomes over the next decade. \n \n What You'll Own \n Define the Product Vision \n Partner directly with the Founder to define the long-term product vision for Smart Bricks. \n You'll own: \n\n • Product strategy\n, • Platform strategy\n, • Product architecture\n, • Roadmap and prioritisation\n, • Customer discovery\n, • Product quality\n, • AI experience\n, • Product-market fit\n\n Your job is to ensure Smart Bricks becomes one coherent AI-native platform, not a collection of disconnected features. \n You'll make difficult decisions about what we build, what we don't build and where we believe AI fundamentally changes the way the industry works. \n \n \n Invent AI-Native Products \n We're not interested in putting chat interfaces on traditional enterprise software. \n We want to rethink the underlying workflows. \n You'll design products where humans and AI agents work together naturally across areas such as: \n\n • Investment sourcing\n, • Conversational underwriting\n, • Due diligence\n, • Investment committee workflows\n, • Financial modelling\n, • Market intelligence\n, • Portfolio intelligence\n, • Asset management\n, • Capital allocation\n, • Multi-agent investment workflows\n\n Some of these products don't have an existing category. \n You'll help invent them. \n \n \n Turn Applied AI Into Product \n Our Applied AI Lab works directly with customers on some of their hardest problems. \n The Lab learns. \n Product compounds those learnings. \n Working closely with the Head of Applied AI, you'll identify patterns across enterprise deployments and continuously ask: \n\n • What repeated?\n, • What surprised us?\n, • What created the most value?\n, • What should become product?\n, • What should remain bespoke?\n, • What can we make reusable for every future customer?\n\n Your job is to build the system that turns customer-specific innovation into scalable platform capabilities. \n Over time, each deployment should make the product stronger and the next deployment faster. \n \n \n Live With the Customer \n The best product ideas won't come from a conference room. \n You'll spend real time with investment teams, developers, lenders, asset managers and institutional investors understanding how they actually work. \n You'll shadow analysts. \n You'll sit inside underwriting processes. \n You'll map how investment decisions get made. \n You'll understand where teams lose time, where information gets trapped and where judgement matters. \n Then you'll ask how AI changes the workflow entirely. \n We expect our Head of Product to become one of the people in the company who understands our customers best. \n \n \n Partner Deeply With Engineering \n Product and Engineering operate as one system. \n You'll work daily with the Head of Engineering and founding engineers to make hard trade-offs, understand technical constraints and turn ambitious product ideas into simple, scalable systems. \n You'll need enough technical depth to reason meaningfully about: \n\n • Agentic systems\n, • Model behaviour\n, • Retrieval and knowledge systems\n, • Evaluations\n, • Human-in-the-loop workflows\n, • Data architecture\n, • APIs and integrations\n, • Build-vs-buy decisions\n, • Reliability and failure modes\n\n You don't need to be the best engineer in the room. \n But you should be able to have a substantive technical conversation with them. \n \n \n Prototype Constantly \n At Smart Bricks, product thinking happens through building. \n You'll prototype ideas before turning them into six-month roadmaps. \n You'll experiment with new interactions, build working concepts, put them in front of customers and learn quickly. \n Being hands-on with tools such as Figma, Cursor, Claude Code, Lovable and v0 is a significant advantage. \n We want someone who can go from: \n customer problem → hypothesis → prototype → customer feedback \n in days, not months. \n \n \n Build the Product Organisation \n You'll build the Product function from the ground up. \n Over time, you'll recruit and lead an exceptional team across: \n\n • Product Management\n, • Product Design\n, • AI Experience\n, • User Research\n, • Product Operations\n\n You'll define how Product operates, how we make decisions and what exceptional product quality means at Smart Bricks. \n Your goal is to create a product organisation capable of building category-defining AI products for decades. \n \n What Success Looks Like \n Within your first 12 months, you'll have: \n\n • Defined the long-term product vision and strategy for our institutional platform\n, • Designed the core AI-native workflows powering the next generation of institutional real estate investing\n, • Launched multiple AI products into production with enterprise customers\n, • Established a repeatable system for converting customer deployments into scalable platform capabilities\n, • Created a clear product architecture and roadmap across the platform\n, • Established an exceptional standard for product quality and AI experience\n, • Built the foundations of the Smart Bricks Product organisation\n, • Become the voice of the customer across the leadership team\n, • Become a trusted product counterpart to the Founder, Head of Engineering and Head of Applied AI\n\n Success won't be measured by the number of features shipped. \n It will be measured by how much smarter, more useful and more scalable the platform becomes with every release. \n \n Who We're Looking For \n We're looking for a builder with exceptional product judgement, not someone who has spent their career managing product processes. \n You've repeatedly taken ambiguous problems and turned them into products customers love. \n You've gone from zero to one. \n You've worked directly with engineers and customers. \n You've made difficult product decisions with incomplete information. \n And you've developed strong instincts about what matters and what doesn't. \n You'll likely have: \n\n • 7–12 years building enterprise software, AI products, workflow platforms or similarly complex products\n, • Led Product through a period of rapid growth at an exceptional startup or scaleup\n, • Experience as an early, founding or senior product leader with genuine end-to-end ownership\n, • Shipped multiple products from zero to one that real users or enterprise customers rely on\n, • Exceptional product judgement and an instinct for simplifying complex systems\n, • Strong technical fluency across AI-native systems and modern software architecture\n, • Experience working directly with enterprise customers and translating messy real-world workflows into elegant products\n, • Strong design instincts and an unusually high bar for product quality\n, • Experience prototyping and testing ideas rapidly rather than relying solely on specifications and roadmaps\n, • The ability to move comfortably between strategy and execution\n\n You're equally comfortable sitting with an investment team, defining product strategy with the Founder, sketching a workflow, building a prototype, challenging an engineer and making a difficult prioritisation decision. \n Experience in real estate isn't required. \n We care far more about exceptional product builders who are excited about applying AI to one of the world's largest and least digitised industries.

Debt Collection Executive \n £30,000 per annum (£40,000 – £45,000 OTE depending on experience) \n Role Overview \n One of the fastest growing UK Debt Recovery Agencies is seeking an experienced Collections Agent. \n We are looking for an ambitious individual to help drive performance, maintain compliance, and support the next phase of structured growth. \n Key Responsibilities \n Performance and Revenue: \n\n • Oversee daily collections activity across all live ledgers.\n, • Drive recovery rates and manage a portfolio of client debt ledgers.\n, • Monitor individual and team KPIs.\n, • Contribute toward achieving monthly revenue targets.\n\n Compliance and Standards: \n\n • Ensure all activity aligns with UK debt recovery regulations, GDPR and industry best practice.\n, • Work with Quality Assurance on file audits and complaint management.\n, • Maintain high professional and ethical standards.\n\n Experience Required: \n\n • Minimum 2 years' experience in debt collection or credit management.\n, • Strong understanding of UK collections compliance.\n, • Strong communication skills, both written and verbal.\n, • Proven ability to manage performance and improve recovery outcomes.\n, • Commercially aware and KPI-driven.\n, • Proficiency in using CRM systems and Microsoft Office.\n\n Personal Attributes: \n\n • Professional, calm and decisive.\n, • Commercially minded.\n, • High integrity and accountability.\n, • Strong communicator.\n, • Comfortable operating in a growing SME environment.\n, • Ambitious and driven to grow and improve a department.\n\n What's On Offer: \n\n • Performance-based bonus.\n, • Opportunity to progress as the company scales.\n, • Clear career growth and opportunity\n\n Benefits Include: \n\n • Pension\n, • On-site parking\n, • Team nights out\n, • Ad hoc bonuses and benefits for strong performance\n

Company descriptionVialto is a market leader in global mobility services. Our purpose is to ‘Connect the world’. We are unique and the only stand-alone global mobility business. This presents a rare opportunity for our clients, stakeholders and colleagues. Our teams help companies streamline and effectively manage their global mobility programs in a cost-efficient and compliant manner. Our services focus on providing cross-border compliance and risk assessment for tax, immigration, business travel, rewards and compensation, and remote work. Working at Vialto is about getting the chance to be part of a global and dynamic team. Globally, Vialto has over 8,000 staff and continues to grow. You will work with clients from a range of industries and different geographical locations. We believe in connecting the world and supporting our colleagues to do the same in their careers by undertaking assignments and opportunities globally that broaden their skills and ultimately benefit our clients. Vialto is unstoppable when we work together in a culture of belonging, where everyone can thrive. We encourage employees to bring their true selves and share their unique talents and expertise to positively impact the communities we serve. To learn more about what we do, tune in to our podcast On the Move to hear expert insights on issues affecting global mobility, and read about the latest news in the industry. You can also follow us on Linkedin and Instagram. Role Summary Vialto is hiring a Senior Full Stack Engineer to design, build, and operate secure, scalable products that power our Compensation Collection, Shadow Payroll, and Equity offerings for the world’s most complex multinational employers. You will deliver hands-on engineering across Next.js and React front ends and C# and .NET services running on Microsoft Azure, working in a highly regulated, multi-jurisdictional environment where accuracy, auditability, and data privacy are non-negotiable. This role is for an experienced engineer who can own end-to-end features—from cross-border compensation data ingestion to shadow payroll calculation engines to equity event processing—contribute to architectural decisions and consistently deliver production-ready solutions using agentic development practices including spec-driven development and agent-driven development with tools such as Claude Code and Codex. You will build AI-native products and workflows, embedding AI capabilities directly into compensation, payroll, and equity workflows to reduce manual effort and improve global mobility outcomes. What You’ll Do Build and evolve modern web experiences for Compensation Collection, Shadow Payroll, and Equity products using Next.js, React, and TypeScript with a focus on performance, reliability, and clarity for tax, payroll, and mobility operators. Design and implement backend services and APIs using C#, .NET, and WebAPI to support compensation data ingestion, cross-border payroll calculations, equity event processing, and integrations with client HR, payroll, and equity administration systems (e.g., Workday, SAP, ADP, Shareworks, ETRADE, Carta). Deliver Azure-native implementations of shadow payroll calculation engines, compensation aggregation pipelines, and equity tax event workflows using Microsoft PaaS services, secure patterns, and operational best practices. Contribute to system architecture and technical design for multi-country payroll, compensation, and equity domains, including integration patterns using REST, file-based feeds, and event-driven approaches. Own production readiness for your work including logging, monitoring and alerting, reconciliation tooling, incident response support, and operational documentation—critical for payroll cycles and equity event deadlines that cannot slip. Apply secure development practices appropriate for handling sensitive compensation, payroll, and equity data including privacy, auditability, segregation of duties, and country-specific data protection requirements (GDPR, SOC 2, country-level payroll regulations). Partner with product, mobility tax, payroll, and equity subject-matter experts to translate complex regulatory and client requirements into technical plans and deliverables. Use agentic development practices including agent-driven development with Claude Code, Codex, or similar AI coding agents to accelerate design, implementation, testing, and operations across the SDLC. Work in a spec-driven development workflow, authoring detailed specifications—including country-specific shadow payroll rules and equity tax treatment—that guide both human and AI agent implementation. Design and implement AI-powered features within Compensation Collection, Shadow Payroll, and Equity products including intelligent data extraction from compensation statements, anomaly detection on payroll inputs, LLM-assisted user workflows, and retrieval-augmented generation (RAG) over tax and payroll guidance. Evaluate, integrate, and operationalize AI APIs, models, and toolchains within application architectures, ensuring responsible AI usage, cost management, and observability—especially where AI touches financially material outputs. Mentor and support other engineers through code reviews, pairing, and technical guidance on payroll, compensation, and equity domain patterns. Required Qualifications 5+ years professional software development experience building enterprise web applications and services, ideally including payroll, compensation, equity, HR, finance, or tax domains. Strong experience designing and building large JavaScript applications with Next.js and/or React (TypeScript, state management, performance optimization). Strong backend development experience in C# and .NET (ASP.NET, WebAPI, MVC) including API design and service patterns for high-integrity calculation and data-processing systems. Proven experience with Microsoft Azure designing and building cloud solutions using PaaS services, frameworks, and operational tooling. Experience delivering systems in regulated or compliance-oriented environments (security controls, auditability, privacy, sensitive financial or personal data handling). Strong engineering fundamentals including design patterns, separation of concerns, scalable architecture, and pragmatic trade-offs—with attention to accuracy and reconciliation in calculation-heavy systems. Experience with agentic or AI-assisted development workflows such as spec-driven development, agent-driven development using tools like Claude Code or Codex, or similar AI coding agent practices. Demonstrated ability to build products that incorporate AI capabilities including prompt design, LLM API integration, or AI-augmented user experiences. Preferred Qualifications Direct experience building or integrating with payroll, shadow payroll, compensation collection, equity administration, or global mobility tax platforms. Familiarity with cross-border compensation concepts: gross-to-net calculations, hypothetical tax, tax equalization, modified shadow payroll, and equity-related compensation events (RSU vest, ISO/NSO exercise, ESPP). Experience integrating with HCM, payroll, and equity systems such as Workday, SAP SuccessFactors, ADP, Ceridian/Dayforce, Shareworks, ETRADE, Carta, or country-specific payroll engines. Azure certifications and/or Microsoft certifications. Experience with event-based and distributed systems including messaging and asynchronous workflows for payroll cycles and equity event processing. Data and persistence experience with SQL Server and ORMs (Entity Framework, nHibernate) plus caching strategies; experience modeling compensation, payroll, and equity data is a strong plus. Strong testing discipline including TDD and BDD, xUnit, Jest or Mocha, CI/CD automation, and quality gates—especially for calculation engines requiring reconciliation and regression coverage. Experience building analytics and reporting with BI and data visualization tools, including payroll reconciliation, compensation analytics, and equity reporting. Exposure to mobile ecosystems (iOS and Android) and API design supporting mobile clients for assignee/employee experiences. Experience with prompt engineering patterns, RAG architectures, vector databases, or AI orchestration frameworks (e.g., LangChain, Semantic Kernel, Azure AI Services). Familiarity with AI code generation and review workflows, including evaluating and curating AI-generated code for production readiness in regulated financial workflows. Technical Skills We Value Frontend: Next.js, React, TypeScript, HTML, CSS, SPA architecture, performance and accessibility Backend: C#, ASP.NET, WebAPI, RESTful design, authentication and authorization patterns, high-integrity calculation services Cloud: Azure PaaS services, observability, secure networking, identity, deployment automation Domain: Compensation Collection workflows, Shadow Payroll calculation and reporting, Equity event processing and tax treatment, cross-border payroll integrations Engineering practices: Git-based workflows, secure SDLC, spec-driven development, AI-assisted code reviews, automated testing, reconciliation tooling, documentation AI-enabled delivery: agentic development using Claude Code, Codex, or similar AI coding agents; spec-driven development workflows; prompt engineering; LLM API integration; RAG patterns; AI orchestration frameworks; responsible AI practices and observability What Success Looks Like Delivers complex Compensation Collection, Shadow Payroll, and Equity features end-to-end with high quality, predictable timelines, and production readiness aligned to payroll cycles and equity event deadlines. Produces clean, maintainable code—whether hand-written or AI-generated—with strong test coverage, reconciliation checks, and clear documentation. Identifies and resolves performance, reliability, accuracy, and security issues before they reach production or affect a client’s payroll or equity event. Contributes meaningfully to architecture and raises standards through code reviews and technical leadership across the compensation, payroll, and equity domains. Communicates clearly with engineering, product, and domain experts; flags risks early; and collaborates effectively across teams and geographies. Effectively leverages agentic development tools and AI-augmented workflows to increase velocity while maintaining the quality, accuracy, and security standards required for regulated financial workflows. Education Bachelor’s degree in computer science, Engineering, or related field required. Master’s degree preferred. Why This RoleYou’ll help build and scale the technology behind Compensation Collection, Shadow Payroll, and Equity—the engines that keep globally mobile employees of the world’s largest multinationals paid accurately, taxed correctly, and compliant across dozens of jurisdictions. You’ll modernize and operate a platform that sits at the intersection of complex tax regulations, sensitive financial and personal data, and high-stakes global payroll and equity events. You’ll also work at the forefront of AI-augmented engineering, using agentic development practices and building AI-powered product experiences that redefine how global mobility compensation, payroll, and equity technology is delivered. We are an equal opportunity employer that does not discriminate on the basis of any legally protected status. Please note, AI is used as part of the application process. Department:Software Engineer

Job Description:Bromley - UKLocation: EMEAJob Title: Agency Management OperationsCorporate Title: Up to Vice PresidentLocation: BromleyCompany Overview:At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!Location Overview:Join our bustling Bromley office, situated in one of London’s greenest boroughs. Here you’ll find plentiful and easy commuting routes, with central London just 15 minutes away by train.The Team:We are an established team of 8 people based in our Bromley office, with daily interaction with our Booking and Servicing & Ops teams. The team is core to our product offering as a firm and is an integral part of the global Syndicated & Corporate Lending Operations for the Bank.The Agency Management Team is responsible for performing the Facility and Security Agent roles on all EMEA Syndicated Credit Agreements where a Bank of America entity is either the main Facility Agent or a Sub Agent.Role Description:This role is responsible for preparing and reviewing documentation in accordance with bank policies and procedures to facilitate closings with the client. Key responsibilities include working on routine to more complex documentation as assigned and interfacing working with company vendors, legal counsel, line partners, and clients to ensure world-class documentation accuracy.The team scope cuts across both syndication, export credit finance and leasing deals.Responsibilities:You will manage your own portfolio of agency deals.You will support the Regional Ops Head and your team lead as one of the Senior persons on the team.You will be responsible for the day-to-day resolution of complex problems and the execution of complex transactions.You will review all credit agreements where we are agent in line with the Bank risk appetite and Loan Market Association agency provisions. You will have the ability to work under tight deadlines.You will build influential relationships with key leaders across the enterprise and industry.You will be responsible for communication and compliance with regulatory requirements.You will become familiar with and liaise between several lines of business with particularfocus on Leverage Finance partners and debt trading.You will be the first point of contact for clients of the business and lenders.What we are looking for:Ability to coordinate with multiple stakeholders and conflicting prioritiesAbility to manage timelines, display sound judgment, and identify points for escalationCollaborative, experienced in working with business partners to achieve goals and successfully complete projects and initiatives.You will have previous agency management and/or document experience specific to the syndication loan market space.You will have experience liaising with internal partners up to executive level.You will have experience as a project or deal coordinator in a previous role.Loan IQ experience would be an advantage.Skills that will help:Attention to DetailCustomer and Client FocusData Collection and EntryDue DiligencePrioritizationAdaptabilityBusiness AcumenOral CommunicationsWritten CommunicationsResearch.Benefits of working at Bank of America:UKAt Bank of America, we strive to prioritise employees’ health and wellbeing – it’s what makes us a Great Place to Work.Private healthcare for you and your family plus an annual health screen to help you manage your physical wellness with the option to purchase a screen for your partner.Competitive pension plan, life assurance and group income protection cover if you become unable to work as a result of a disability or health reasons.We offer 26-weeks paid maternity leave, 16-weeks paid paternity leave and inclusive family leave arrangements for working parents and carers including 20 days of back-up childcare including access to school holiday clubs and 20 days of back-up adult care per annum.20 days of back-up childcare including access to school holiday clubs and 20 days of back-up adult care per annum.The ability to change your core benefits as well as the option of selecting a variety of flexible benefits to suit your personal circumstances including access to a wellbeing account, travel insurance, critical illness, cycle to work etc.Access to free counselling through the Employee Assistance Program and virtual GP services through our private health care plan.Access to an Employee Assistance Program for confidential support and help for everyday matters.Ability to donate to charities of your choice directly through payroll and the bank will match your contribution.Opportunity to access our Arts & Culture corporate membership program and receive discounted entry to some of the UK’s most iconic cultural institutions and exhibitions.Opportunity to give back to your community, develop new skills and work with new groups of people by volunteering in your local community.Bank of America:Good conduct and sound judgment is crucial to our long term success. It’s important that all employees in the organisation understand the expected standards of conduct and how we manage conduct risk. Individual accountability and an ownership mind-set are the cornerstones of our Code of Conduct and are at the heart of managing risk well.We are an equal opportunities employer and ensure that no applicant is subject to less favourable treatment on the grounds of sex, gender identity or gender reassignment, marital or civil partner status, race, religion or belief, colour, nationality, ethnic or national origins, age, sexual orientation, pregnancy or maternity, socio-economic background, responsibility for dependants or physical or mental disability. The Bank selects candidates for interview based on their skills, qualifications and experience.We strive to ensure that our recruitment processes are accessible for all candidates and encourage any candidates to tell us about any adjustment requirements.SummaryLocation: BromleyType: Full time

Join a cutting-edge research team working to deliver on the transformation promises of modern AI. We are seeking Machine Learning Research Engineers with the skills and drive to build and conduct experiments with advanced AI systems in an academic environment rich with high-quality data from real-world problems.Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are expanding our strong foundation of research capabilities across different areas and are looking for engineers who participate in designing, coding, conducting experiments, and translating findings into concrete deliverables.Our focus areas are:LLM Training (Continued pretraining, instruction tuning, reinforcement learning, distributed training, efficient ML techniques)Post-training techniques for planning, reasoning & complex workflows (e.g., reasoning models, LLMs + knowledge graphs, test time compute, CoT pipelines, tool use & API calling, etc.)Data-centric Machine Learning (Synthetic data, curriculum learning, learned data mixtures, etc.)Evaluation (Benchmarking best practices, humans/LLMs as a judge, red teaming/adversarial testing, hallucination detection, etc.)We work collaboratively with TR Labs (TR's applied research division), academic partners at world-leading research institutions, and subject matter experts with decades of experience. We experiment, prototype, test, and deliver ideas in the pursuit of smarter and more valuable models trained on an unprecedented wealth of data and powered by state-of-the-art technical infrastructure. Through our unique institutional experience, we have access to an unprecedented number of subject matter experts involved in data collection, testing and evaluation of trained models.As an ML Research Engineer, you will play a key part in a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to contribute to our proprietary AI model research & development through rapid prototyping, scalable infrastructure, and production-quality implementations, and to research papers in top tier academic conferences and journals.About the roleIn this opportunity, as an ML Research Engineer you will:Build: You will design and implement robust, scalable systems for training and evaluating large language models. You'll build data pipelines for data-centric research, training infrastructure for instruction fine-tuning (IFT), Direct Preference Optimization (DPO), and reinforcement learning workflows, evaluation frameworks for comprehensive model assessment, and infrastructure for agentic workflows that enables researchers to iterate quickly and effectively.Innovate: You will work at the very cutting edge of AI Research at an institution with some of the richest data sources in the world. Through your work, you will rapidly implement novel research ideas in LLM training, evaluation, agentic systems, and data processing, transforming them into production-ready systems and research publications. You will contribute to advancing the state-of-the-art in data-centric ML by building tools that help us make the best use of our unprecedented data resources.Experiment and Develop: You are involved in the entire research & model development lifecycle, brainstorming, coding, testing, and delivering high-quality implementations that support cutting-edge research. You'll build pipelines for synthetic data generation, automated evaluation systems, training workflows for various fine-tuning approaches, and agent-based workflows that push the boundaries of what's possible with LLMs.Collaborate: Working on a collaborative global team of research engineers and scientists both within Thomson Reuters and our academic partners at world-leading universities. You'll work closely with researchers to understand their needs and translate cutting-edge research papers into practical, scalable implementations.Communicate: Actively engage in sharing technical implementations and best practices with the wider team through code reviews, documentation, technical presentations, and knowledge sharing sessions. Contribute to internal research discussions and stay current with the latest developments in LLM training, evaluation, agentic AI, and data-centric machine learning.About youYou're a fit for the role if your background includes:Required qualifications:Bachelor's or Master's degree in Computer Science, Engineering, or a relevant discipline (or equivalent practical experience)3+ years of hands-on experience building ML/NLP/AI systems with strong software engineering practicesDemonstrated expertise in building production-quality code and data pipelines for ML systemsProficiency in modern AI development frameworks including: PyTorch, Jax , HuggingFace Transformers, LLM APIs (litellm etc) and vLLM for building and deploying large-scale AI applicationsUnderstanding of LLM training methodologies including instruction fine-tuning, preference optimization, and reinforcement learning approachesStrong software engineering skills including version control, testing, CI/CD, and code quality practices · Hands-on experience with experiment tracking and orchestration tools such as clearml, Weights & Biases, MLflow.Experience with distributed computing frameworks and large-scale data processing (e.g., Ray, Spark, Dask)Excellent communication skills to collaborate with researchers and translate research ideas into robust implementationsSelf-driven attitude with genuine curiosity about ML research developmentsComfortable working in fast-paced, agile environments, managing the uncertainty and ambiguity of genuinely novel researchHelpful qualifications:Track record of ML impact in the form of releases, publications or contributions to open source ML libraries or frameworks (especially in training, evaluation, data processing, or agent systems)Experience building and maintaining ML training infrastructure and data pipelines at scaleExtensive experience with LLM training techniques such as instruction fine-tuning (IFT), Direct Preference Optimization (DPO), Proximal Policy Optimization (PPO), or other RLHF methodsHands-on experience implementing and scaling supervised fine-tuning, preference learning, and reinforcement learning pipelines for LLMsExperience building LLM evaluation frameworks, benchmarking systems, or automated testing pipelinesHands-on experience with agentic workflows, tool-using AI systems, or multi-agent coordination (examples include: langgraph, AutoGPT, LLamaIndex)Experience with data-centric ML approaches including synthetic data generation, data curation, or curriculum learning pipelinesExperience training large-scale models over distributed nodes with cloud tools such as AWS, MS Azure, or Google CloudHands-on experience with MLOps, experiment tracking, and model deployment systemsStrong interest in staying current with ML research literature and ability to quickly implement novel techniques from academic papersFamiliarity with training optimization techniques such as mixed precision training, gradient checkpointing, and efficient attention mechanismsKnowledge of modern ML engineering practices (containerization, orchestration, monitoring)You will enjoy:Learning and development: On-the-job coaching and learning as well as the opportunity to work with cutting-edge methods and technologies.Plenty of data, compute, and high-impact problems: Our scientists and engineers get to explore large datasets and discover new capabilities and insights. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & accounting professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data. We also provide access to significant cloud computing resources for our researchers and engineers.Competitive compensation & benefits packages#LI-WC1What’s in it For You?Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.About UsThomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here.Learn more on how to protect yourself from fraudulent job postings here.More information about Thomson Reuters can be found on thomsonreuters.com.SummaryLocation: United Kingdom, LondonType: Full time

Debt Collection Executive £30,000 per annum (£40,000 - £45,000 OTE depending on experience) Role Overview One of the fastest growing UK Debt Recovery Agencies is seeking an experienced Collections Agent. We are looking for an ambitious individual to help drive performance, maintain compliance, and support the next phase of structured growth. Key Responsibilities Performance and Revenue: • Oversee daily collections activity across all live ledgers., • Drive recovery rates and manage a portfolio of client debt ledgers., • Monitor individual and team KPIs., • Contribute toward achieving monthly revenue targets. Compliance and Standards: • Ensure all activity aligns with UK debt recovery regulations, GDPR and industry best practice., • Work with Quality Assurance on file audits and complaint management., • Maintain high professional and ethical standards. Experience Required: • Minimum 2 years' experience in debt collection or credit management., • Strong understanding of UK collections compliance., • Strong communication skills, both written and verbal., • Proven ability to manage performance and improve recovery outcomes., • Commercially aware and KPI-driven., • Proficiency in using CRM systems and Microsoft Office. Personal Attributes:...

Job Title: Driver Location: Sunbury Hours: Zero Hour Salary: £12.96 Benefits: Company pension scheme Employee discount scheme Funded Summer and Christmas events Cycle to work schemes Discounted car hire rates Friendly and supportive working environment Role Overview: As a Service Delivery Agent, you will ensure all vehicles are thoroughly cleaned and inspected throughout the workday. You will conduct thorough inspections, identifying any pre- and post-rental damage, following Switch's management processes. Key Responsibilities: Deliver and collect vehicles from various locations Identify and record vehicle damage using appropriate documentation/systems per Switch's damage management procedure Perform comprehensive vehicle safety checks before delivery and at quality inspection stages Accurately and clearly complete fuel sheets Debowse vehicles as instructed, adhering to safety guidelines Clean vehicles thoroughly to meet company standards and customer requirements Undertake security checks and verify rental documentation as required Complete any necessary paperwork Comply with all Switch vehicle procedures Communicate accurately and appropriately, both verbally and in writing Drive carefully and considerately Dress according to company uniform standards, maintaining a clean and smart appearance Act as an ambassador of the company, promoting company interests at all times Ideal Candidate: Driving Skills: Holds a full manual driving license for a minimum of 12 months. Demonstrates careful and considerate driving behaviour, ensuring the safety of passengers, vehicles and other road users Flexibility: Exhibits a flexible approach to working hours, rotas and locations Attention to Detail: Has an eye for detail, particularly when conducting vehicle inspections and documenting any damage. Ensures thoroughness in vehicle safety checks, cleanliness and maintenance Communication Skills and customer service orientated Organizational Skills: Efficiently manages time and tasks, ensuring timely delivery and collection of vehicles Safety Conscious: Prioritises safety in all tasks, adhering to company procedures and guidelines. Ensures vehicles are roadworthy and meets all safety standards before use. About Us: Switch is the largest privately-owned leasing company in the UK, with 81 locations nationwide. We have become one of the leading rental companies in the UK, thanks to our comprehensive fleet and excellence in customer service. With our growth come amazing opportunities to join our family business, where our people continue to remain at the heart of everything we do! Apply now and be part of our team driving growth and success! TPBN1_UKTJ

Company DescriptionWise 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 DescriptionWe’re looking for a Staff Data Scientist to join our growing AML Team in London.This role is a unique opportunity to work behind the scenes of company transactions, develop our risk detection and assessment to the next level regarding regional typology understanding and at the same time, provide our customers with the seamless service they deserve. What you build will have a direct impact on Wise’s mission and millions of our customers.About the Role: The AML team at Wise is dedicated to safeguarding our platform against financial crime, while ensuring seamless service for our legitimate customers. Leveraging cutting-edge machine learning, real-time transaction monitoring, and data analysis, our team is responsible for developing and enhancing AML detection systems which have evidenceable regional coverage of different financial crime typologies and red flags. Software engineers, data analysts, data scientists and compliance specialists collaborate on a daily basis to continuously improve our systems and provide support to our AML investigation team.Our vision is:Build a globally scalable AML prevention and detection engine to maintain Wise as a secure environment for our legitimate customers.Utilise machine learning techniques to identify potential risks associated with customer activity.Foster a strong partnership between our AML investigators and the product team to develop solutions that leverage the expertise of AML investigation specialists.Not only meet the requirements set by regulators and auditors but also surpass their expectations.We are looking for a highly skilled Staff Data Scientist to lead technical innovation and drive the development of advanced data science solutions. This role is pivotal in enhancing our AML detection capabilities.Here’s how you’ll be contributing:Innovate and Develop: Lead the development and deployment of machine learning models, including neural networks, anomaly detection, graph-based models, Transformers. Design and build modular detection systems able to detect in an evidenceable way red flags and typologies across different regions where Wise operates.Lead and Collaborate: Mentor team members and promote adoption of AI workflows for automation across the business. Collaborate with cross-functional teams to integrate data science solutions into AML detection product offerings.Deploy and Integrate: Develop scalable deployment strategies together with Platform teams and integrate LLMs with AI agents for seamless production useOptimise and Evaluate: Conduct large-scale training and hyperparameter tuning, and define performance metrics to ensure high-quality model outputs.Data Strategy and Management: Design and implement strategies for data collection, curation, and augmentation to support robust model training.Documentation and Reporting: Communicate complex data findings to non-technical stakeholders effectively. Document the development and maintenance processes for models and features.A bit about you: Demonstrated expertise (5+ years) in developing and deploying production-grade AI systems and Machine Learning (ML) in financial risk or fraud domains.Technical Proficiency: Skilled in Python, capable of delivering production-ready Python services as required; possesses hands-on experience with neural networks and deep learning models; has comprehensive knowledge of machine learning frameworks such as TensorFlow or PyTorch, as well as AI agent frameworks like LLamaIndex and LangGraph; well-versed in LLM orchestration and MCP usage. Data-driven mindset: skilled in designing data strategies, including data collection, curation, and augmentation, to support model development. Experience with big-data frameworks and working with large scale databasesTechnical leadership and mentorship: demonstrated ability to guide, mentor and level-up teams on technical aspects, fostering a collaborative and innovative work environmentExcellent communication skills, capable of simplifying complex technical concepts for easy understanding; able to adapt communication style to suit different audiences; can effectively engage and advise both technical and non-technical stakeholders with clarity and logicA strong product mindset with the ability to work independently in a cross-functional and cross-team environment;Additional InformationKey benefits:Stock options in a profitable companyHybrid working model - whether it’s working from home, working overseas, school plays or life admin we get that flexibility is essential Annual personal development budget - whether it’s for books, courses, or conferencesVisa and relocation support You can read more about our full benefits package here...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.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.SummaryType: Full-timeFunction: AnalystExperience level: Mid-Senior LevelIndustry: Financial Services

Who are weFounded in 1896, Knight Frank was registered as Knight Frank LLP a Limited Liability Partnership, on 3 November 2003, registered in England & Wales at 55 Baker Street, London, W1U 8AN with the registered number of OC305934. Headquartered in London, UK, Knight Frank is one of the world's leading independent real estate consultancies. We work responsibly in partnership to enhance people's lives and environments in over 50 Markets, 600+ Offices, 20,000+ People, 1 Global Network.At the heart of all we do are our Clients. A relationship built on trust is vital. As trusted partners in property, we act with integrity and care, understanding our clients’ unique needs and consistently thinking about the bigger picture to provide personalised, clear and considered advice across all areas of property. Through our deep understanding of key markets and sectors – both emerging and established – we are dedicated to meeting and exceeding their property goals.A true partnership is a balanced one, and our People are passionate about, and committed to, making our business inclusive and diverse. We give every individual the space and opportunity to perform at their best and be recognised for the immense value they bring. We empower everyone to have autonomy in their role and encourage them to use their voice in how we can make a positive impact as a firm and shape the future of real estate, the built environment and the impact on the communities we serve. Our collaborative and engaged teams provide excellent and dedicated client service. In our workplace, opinions are respected, everyone is invited to contribute to the success of our business and innovation, and new ideas are celebrated.In 2021 we celebrated our 125th anniversary and set out Our Desired Future, cemented in three pillars: People Potential, Client Centricity and always Creating our Future, together. Learn more about what sets us apart here.About The RoleKnight Frank is seeking an Order to Cash (O2C) Process Lead to join their Head Office in 55 Baker Street.The Order to Cash (O2C) Process Lead will drive operational process excellence across our end-to-end revenue cycle for the UK business within a large, complex commercial real estate environment. As well as managing and developing a small team, responsibilities range from executing day to day process transactions through to being accountable to optimise billing, collections, cash application, and credit management processes across a diverse portfolio of customers.You will work closely across Finance and the Broader business teams across Residential, Commercial, International and Business Services to build strong working relationships that ultimately focuses on enhances cash flow, strengthens controls, and delivers best-in-class service to both internal and external stakeholders.This role acts as a single point of accountability for O2C, key focus is to drive end-to-end accountability for the full revenue cycle, from contracting to invoice to cash realisation, supporting improved working capital performance, driving results, process governance, efficiency and reporting performance.Key Responsibilities:Process Leadership & OptimisationOwn and continuously improve the end-to-end O2C process (lease billing, service charge recovery, debtor management, cash application, dispute resolution)Identify and implement process improvements, automation opportunities, and standardisation across regions and asset classesEstablish KPIs and dashboards to monitor performance and own process efficiency opportunitiesLead system enhancements and transformation in initiatives to aspire best-in-class processing.Cash & Working Capital ManagementDrive improvements in cash collection, debtor days (DSO), and cash forecasting accuracyOversee credit control strategies and ensure effective escalation of aged debtPartner with business leads to improve client payment performance.Proactively manage, control and reduce unallocated debtManaging timely processing of sales invoices and credit notes through to cash allocation when required.Leadership of the Accounting FunctionLead, develop and motivate a high-performing teamProvide clear direction, coaching, and performance management to direct reportsBuild a culture of accountability, continuous improvement, and technical excellenceAct as a key advisor to senior finance leadership on O2C matters.Stakeholder Management Act as the primary O2C partner to senior stakeholders across Finance and the broader businessCollaborate with business teams to ensure billing accuracy and dispute resolutionInfluence key decision-makers on process improvements and policy adherenceControls & GovernanceEnsure strong financial controls, compliance, and audit readiness across O2C processesMaintain adherence to accounting standards, contractual obligations, and update key internal policies such as credit control & revenue recognition.Support internal and external audits as required, remediate queries as required.Skills & Experience:Core RequirementsSignificant experience in Order to Cash / Accounts Receivable leadership roles,Background in commercial real estate, property management, or complex multi-entity environments is desirable.Strong understanding of billing cycles, service charges, cash application, debt recovery. Account reconciliations, customer onboarding/CDD processes.Proven track record of driving process improvement and transformation, reducing aged debt and establishing firm credit policies without damaging external relationships.Background in Shared Services or global business services environment is desirable.Leadership & Behavioural SkillsStrategic thinker: Able to connect operational processes to wider business outcomes and cash performanceInfluential leader: Strong ability to engage, challenge, and align senior stakeholdersPeople leadership: Experience managing, coaching, and developing high-performing teamsChange agent: Comfortable leading transformation in complex, matrixed organisationsCommercial mindset: Understands the link between O2C performance and business profitabilityAnalytical & data-driven: Uses insights to identify risks, opportunities, and drive decisionsResilient & adaptable: Thrives in a fast-paced environment with competing prioritiesQualificationsEssential: 5 years Order to cash management experienceEssential: recognised credit management (CICM) or recognised accounting qualificationSystems and IT CompetenceSAP (general and sales ledger) essentialGood intermediary level of Excel knowledge for handling and analyzing large data.Banking portals including Bankline, HSBC.net, Barclays.net desirableDimensions Managing a team of 5UK landscape / Turnover 450MNo. of active customer accounts: c. 3,700Competitive salaryPlease note: this is a Direct Search led by Knight Frank. Applications from recruitment agencies will not be accepted nor will fees be paid for unsolicited CVs, even if provided by PSL agencies.SummaryLocation: UK Head Office (Baker Street, London)Type: Full time

Job Description:Bromley - UKLocation: EMEAJob Title: Agency Management OperationsCorporate Title: Up to Vice PresidentLocation: BromleyCompany Overview:At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!Location Overview:Join our bustling Bromley office, situated in one of London’s greenest boroughs. Here you’ll find plentiful and easy commuting routes, with central London just 15 minutes away by train.The Team:We are an established team of 8 people based in our Bromley office, with daily interaction with our Booking and Servicing & Ops teams. The team is core to our product offering as a firm and is an integral part of the global Syndicated & Corporate Lending Operations for the Bank.The Agency Management Team is responsible for performing the Facility and Security Agent roles on all EMEA Syndicated Credit Agreements where a Bank of America entity is either the main Facility Agent or a Sub Agent.Role Description:This role is responsible for preparing and reviewing documentation in accordance with bank policies and procedures to facilitate closings with the client. Key responsibilities include working on routine to more complex documentation as assigned and interfacing working with company vendors, legal counsel, line partners, and clients to ensure world-class documentation accuracy.The team scope cuts across both syndication, export credit finance and leasing deals.Responsibilities:You will manage your own portfolio of agency deals.You will support the Regional Ops Head and your team lead as one of the Senior persons on the team.You will be responsible for the day-to-day resolution of complex problems and the execution of complex transactions.You will review all credit agreements where we are agent in line with the Bank risk appetite and Loan Market Association agency provisions. You will have the ability to work under tight deadlines.You will build influential relationships with key leaders across the enterprise and industry.You will be responsible for communication and compliance with regulatory requirements.You will become familiar with and liaise between several lines of business with particularfocus on Leverage Finance partners and debt trading.You will be the first point of contact for clients of the business and lenders.What we are looking for:Ability to coordinate with multiple stakeholders and conflicting prioritiesAbility to manage timelines, display sound judgment, and identify points for escalationCollaborative, experienced in working with business partners to achieve goals and successfully complete projects and initiatives.You will have previous agency management and/or document experience specific to the syndication loan market space.You will have experience liaising with internal partners up to executive level.You will have experience as a project or deal coordinator in a previous role.Loan IQ experience would be an advantage.Skills that will help:Attention to DetailCustomer and Client FocusData Collection and EntryDue DiligencePrioritizationAdaptabilityBusiness AcumenOral CommunicationsWritten CommunicationsResearch.Benefits of working at Bank of America:UKAt Bank of America, we strive to prioritise employees’ health and wellbeing – it’s what makes us a Great Place to Work.Private healthcare for you and your family plus an annual health screen to help you manage your physical wellness with the option to purchase a screen for your partner.Competitive pension plan, life assurance and group income protection cover if you become unable to work as a result of a disability or health reasons.We offer 26-weeks paid maternity leave, 16-weeks paid paternity leave and inclusive family leave arrangements for working parents and carers including 20 days of back-up childcare including access to school holiday clubs and 20 days of back-up adult care per annum.20 days of back-up childcare including access to school holiday clubs and 20 days of back-up adult care per annum.The ability to change your core benefits as well as the option of selecting a variety of flexible benefits to suit your personal circumstances including access to a wellbeing account, travel insurance, critical illness, cycle to work etc.Access to free counselling through the Employee Assistance Program and virtual GP services through our private health care plan.Access to an Employee Assistance Program for confidential support and help for everyday matters.Ability to donate to charities of your choice directly through payroll and the bank will match your contribution.Opportunity to access our Arts & Culture corporate membership program and receive discounted entry to some of the UK’s most iconic cultural institutions and exhibitions.Opportunity to give back to your community, develop new skills and work with new groups of people by volunteering in your local community.Bank of America:Good conduct and sound judgment is crucial to our long term success. It’s important that all employees in the organisation understand the expected standards of conduct and how we manage conduct risk. Individual accountability and an ownership mind-set are the cornerstones of our Code of Conduct and are at the heart of managing risk well.We are an equal opportunities employer and ensure that no applicant is subject to less favourable treatment on the grounds of sex, gender identity or gender reassignment, marital or civil partner status, race, religion or belief, colour, nationality, ethnic or national origins, age, sexual orientation, pregnancy or maternity, socio-economic background, responsibility for dependants or physical or mental disability. The Bank selects candidates for interview based on their skills, qualifications and experience.We strive to ensure that our recruitment processes are accessible for all candidates and encourage any candidates to tell us about any adjustment requirements.SummaryLocation: BromleyType: Full time

The Evolv Collection Reservations is seeking a Reservations Agent to join our support office in London.

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Vehicle Collection Agent (Field-Based)OTE £50,000 £70,000+. We are seeking a professional and reliable Vehicle Collection Agent to join one of the UKs longest-established asset recovery firms. This is a field-based role involving the recovery and transportation of vehicles across the UK on behalf

As a Visa Documentation Agent, you will be the first point of contact for visa applicants, ensuring a seamless and positive experience throughout the process. Welcoming applicants, assisting with application completion, biometric data collection and documentation.

Seeking a field-based debt collection agent for a leading UK debt resolution company.

Council Tax and NNDR Recovery Officer Revenues and Benefits | SO2 We are seeking 2 Council Tax and NNDR Recovery Officers to work for an award-winning Council within a busy Revenues and Benefits team. The successful candidates will support the collection and recovery of Council Tax and National Non-Domestic Rates, managing recovery cases, liaising with enforcement agencies and debtors, preparing court documentation and attending court proceedings where required. Location: This role is mainly working from home. The successful candidates will be expected to attend the office once per month and/or attend Westminster Magistrates’ Court once per month. Rate of pay PAYE: £22.86 per hour Umbrella: £29.21 per hourKey dates Interview dates: 17th, 18th and 19th August 2026 Start date: 7th September 2026A Standard DBS check is required. About the role You will support the Council Tax and NNDR Debt Managers in delivering an efficient enforcement and recovery service. You will investigate and reconcile accounts, take appropriate recovery action, negotiate payment arrangements and help maximise income for the authority while maintaining high standards of customer care. Key responsibilities Update, investigate and reconcile Council Tax and NNDR accounts, taking appropriate recovery action where required. Process cases returned uncollected by Enforcement Agencies and take action in line with procedures. Deal with enquiries relating to cases at Enforcement Agent stage, liaising with enforcement agents and debtors. Maintain accurate records of debt held with external collection agencies. Process payment schedules, allocate payments and raise invoices where necessary. Use systems such as Academy, Experian and other Council systems to trace debtors, complete account checks and identify potential fraud. Prepare documentation for committal proceedings, charging orders, set-aside applications and other legal action. Represent the Council in court proceedings, including liability order applications and committal hearings. Exercise judgement regarding adjournments, withdrawals, referrals to the Duty Solicitor and court appearances, in accordance with established guidelines. Negotiate payment arrangements with debtors at all stages of recovery, taking account of vulnerability, poverty and financial hardship. Liaise with internal departments, DWP, collection agencies, employers, Citizens Advice and other external organisations. Deal with insolvency cases relating to Council Tax and NNDR in accordance with legislation and procedures. Manage complex and sometimes contentious Council Tax and NNDR recovery enquiries.About youThe successful candidate will have: Previous experience working in Council Tax and Business Rates recovery. A good understanding of relevant legislation, enforcement procedures and recovery processes. Experience using the Academy system for Council Tax and NNDR. The ability to deal confidently and sensitively with debtors, enforcement agents, internal departments and external agencies. Experience preparing for or attending Magistrates’ Court proceedings would be advantageous. Strong written and verbal communication skills. Good attention to detail and the ability to maintain accurate records. The ability to manage competing priorities and work to departmental targets. Competence using Microsoft Word, Outlook and Excel. An IRRV qualification is desirable but not essential.Working arrangements his is primarily a home-based role, with an expectation of: Attending the office once per month; and/or Attending Westminster Magistrates’ Court once per month.Candidates must be able to meet these attendance requirements and attend an interview on one of the scheduled dates. Equality and inclusion The Council is committed to creating an inclusive working environment where everyone is valued and treated fairly. Applications are welcomed from all sections of the community, including candidates seeking flexible working arrangements. KeywordsCouncil Tax and NNDR Recovery Officer, Council Tax Recovery Officer, NNDR Recovery Officer, Revenues and Benefits, Council Tax, Business Rates, National Non-Domestic Rates, Non-Domestic Rates, Debt Recovery, Revenue Recovery, Local Authority, Award-Winning Council, Council, Enforcement, Enforcement Agents, Liability Orders, Committal Hearings, Magistrates’ Court, Westminster Magistrates’ Court, Court Proceedings, Charging Orders, Set-Aside Applications, Insolvency, Payment Arrangements, Debt Management, Account Reconciliation, Debtor Tracing, Academy System, Experian, DWP, Standard DBS, PAYE, Umbrella, Hybrid Working, Home-Based Working, SO2, IRRV, Excel, Microsoft Word, Outlook