Customer support agent jobs in United Kingdom

Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure—delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. NetApp sits on 60% of the world's unstructured data. AI runs on unstructured data, and our customers' data is already with us, so we start most AI conversations from a position nobody else has. We are building the engine that turns that into business, and both halves of it are already here: Solution Architects who design the data infrastructure for training, inference, agent runtimes and AI-ready data lakes, and business development people who build the propositions and target lists that open those conversations. What we want now is to run them as one team, with one plan, going after the AI opportunity in EMEA/LATAM proactively rather than one deal at a time. That is this role. You lead the AI Solution Architects and the AI business development / GTM profiles across EMEA/LATAM, and you are accountable for a commercial result: incremental AI pipeline, a better win rate, and AI bookings growth year over year. Build the value propositions with the teams who have to sell them Own our AI value propositions across the four workloads, built together with your architects and business developers, Area sales, Marketing and the partners we sell with. Each one needs an architecture we can defend, the accounts it applies to, and the competitive position and proof points the field will be asked for. Scale what works Take a proposition that produces opportunities in one country and make it work across the region, run by people who did not build it. Stop the motions that do not convert. Scale through partners as well, particularly where the buying decision follows a validated reference architecture. Be our AI voice in EMEA Be the person the market, the press and our own field look to for NetApp's view on AI data infrastructure: inference economics, agent runtimes and data governance, European sovereignty and regulation, and the competitive stacks. Build the same standing in the people around you. Hire and develop the talent this depends on Hire above the bar we have today across two quite different profiles, set the AI technical bar for the wider SE and SA community, build succession, and choose deliberately where the team spends its time. Make our SEs and Client Executives effective on AI workloads Get several hundred Systems Engineers and Client Executives to the point where they can open, qualify and lead an AI workload conversation on their own accounts. Judge the enablement on the opportunities they create afterwards. Build the relationships where platform decisions get made Hold your own relationships with the CTOs, chief architects and heads of AI and platform who decide where their AI workloads will run, maintained between deals, so we are in the conversation before the architecture is set. Basic qualifications • 12+ years in enterprise technology including strategic and people leadership, with 5+ years managing people. Experience leading both technical (pre-sales, solution architecture) and commercial (business development, GTM) profiles, or a credible case for why you can., • A record of creating pipeline in a new or emerging segment, with the numbers and the plays behind it., • Real fluency in the AI infrastructure stack, deep enough to set a bar rather than repeat one: GPU clusters and reference architectures, training and fine-tuning pipelines, inference serving and its economics, agent runtimes and frameworks, RAG and vector search, data lake architecture, and where the data layer sits in each. You should be able to hold your own with a CTO or Head of AI without an architect in the room., • Commercial and dimensioning judgement: able to test whether a solution is right-sized and defend a design choice, including a smaller one, under pressure., • Able to influence without authority across sales, technical, marketing and partner organisations in a matrixed, multi-country environment., • Executive presence at C-level, including when the outcome is uncertain., • Fluent English and willing to travel across EMEA/LATAM. Preferred qualifications • Relationships in the European AI ecosystem — sovereign AI programmes, neoclouds, AI ISVs, GPU vendors, integrators, AI investors., • Experience building a GTM motion from scratch, and the team that runs it., • Understanding of EU AI and data sovereignty regulation, including public-sector procurement., • Experience with hyperscalers and partner-led sales models., • A storage or data infrastructure background helps but is not required. If you come from storage, show us AI deals you have been in and a current read on the market., • Another European language. You start on the inference proposition with two architects, a business developer and an SE manager, arguing about whether the cost-of-serving case holds up with a customer who already has GPUs. Mid-morning, the head of platform at a large European bank, on their AI roadmap rather than on anything of ours. Before lunch, the architecture review on our largest inferencing deal, where you push back on a design that won't survive the customer's second model. Afternoon is a deal clinic with a dozen SEs and CEs taking the new proposition into their own accounts next week. Then an analyst briefing, and half an hour reworking the proposition because last quarter's three losses all turned on the same objection. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment—you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed—they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support—rather than replace—human decision-making.

About Barhale Who are Barhale? Barhale is a business founded on family values, having been established by our Chairman, Dennis Curran, in 1980. We are one of the largest privately owned civil engineering and infrastructure specialists in the UK, with over 40 years of experience in providing design, civil engineering and maintenance services working across multiple sectors, including: Water Transport Built environment EnergyWe operate as a tier one partner for blue chip, regulated and private clients, working as part of large frameworks, joint ventures and alliances, as well as on individual standalone projects, developing long-term relationships based on delivering to the Barhale values which have been integral to our business since their inception in 1985. Our direct delivery model is at the core of everything we do, as we believe that people are our greatest asset. Therefore, we robustly source, train and retain all our own frontline delivery teams as well as management and support services. We employ over 1,200 employees nationwide. We possess a range of specialist skills to support our civil engineering and infrastructure activities, including: Tunnelling MEICA Temporary and permanent design Steel-fabrication Signs (design and fabrication) Health & safety equipment and products, including PPE Why join Barhale? As Gold Investors in People, we are committed to a high standard of people practices, creating an inclusive environment and ensuring cultural alignment to business strategy, ethos and philosophies. Job security, long-term secured work through various frameworks and large infrastructure schemes A broad range of civil engineering, mechanical and electrical schemes across some of the UK’s largest infrastructure projects and clients Strong career progression as demonstrated by our track record in promoting from within, as we believe this is a key driver of our success Site Agent/Manager The Role The Site Agent will be responsible for managing the construction site to achieve the required project delivery in line with customers’ objectives, while maintaining standards of health and safety, quality, environmental impact, and cost control. You will be responsible for delivering various projects to the specified quality, within the required programme, and with maximum commercial performance. The successful candidate will work closely with the Contracts Manager/Project Manager, engineers, and quantity surveyors to ensure that projects are completed in a safe manner whilst customer requirements and expectations are always maintained or exceeded. Key Responsibilities Site Management Overall responsibility for the successful delivery of various projects in the Civils and Water sectors Deliver the work to the specified quality without defects When required, lead a team of Sub Agents, Engineers, and Foremen to deliver the work safely without environmental incidents, and to the specified quality. Ensure production and implementation of Project Plans, RAMS, and ITP as well as Waste Management Plans, when specified, in line with Company procedures Ensure the commercial performance of the contract is maximised Produce and manage the project construction programme as well as produce a 2-week look-ahead. Produce procurement schedules and liaise with the procurement department to ensure sites have adequate resources to complete the tasks Client interface Undertake an ambassadorial role representing the business to customers, the public and official bodies Deliver product to customer requirements and satisfaction Cost control Populate and manage the Barhale cost plan for the project Maximise project value Ensure detailed site diaries/records are completed Maintain commercial tension to drive out cost and challenge the status quo Endeavour to spot and highlight value engineering opportunities Reporting Produce good quality, accurate monthly reports internally and for the Client Chair weekly site meetings in line with Company procedures About you Essential Experience of working within Civil Engineering and as a Site Agent for a contractor, delivering projects in a highly regulated environment Working knowledge of contract conditions, CDM regulations, Design Management, Programme and Risk Management and cost control, including forecasting, actual cost, and value reporting Good knowledge of specifications and testing regimes relevant to general civil engineering Degree/HNC in Civil Engineering, or equivalent CSCS Mandatory IOSH Managing Safely or SMSTS Temporary works Coordinator Confined space training Excellent communication, people, and team management skills Ability to challenge designs and resolve problems to a conclusion Ability to demonstrate the right behaviours and lead the team to ensure the culture is in line with our Company valuesDesirbale CEng MICE, or equivalent Knowledge of Primavera P6 software Understanding of JCT and NEC forms of contractCaring and investing in you Our values have been embedded at Barhale for over 40 years, and they are our guiding principles regarding how we care and invest in people. Our values are our commitment to being a people-centric company. As a Gold Investors in People company and a Sunday Times 100 Best Company to Work For, we are committed to investing in people. We are passionate about creating a working environment where people are supported throughout their careers, where people can enjoy security and be part of a company that cares about them. From the moment you join us, your well-being and career aspirations will be supported by. Competitive salary Company Pension Life Assurance Private Medical 25 days of annual leave in addition to 8 public bank holidays and loyalty days 8 hours volunteering Employee Assistance Programme to support your mental, physiological and financial wellbeing Flexible benefits via salary sacrifice Company car/green car scheme/car allowance/Van (dependent on position) Leadership & management training and coaching Regular line management engagement and appraisal to support your career progression Development supported by internal and externally delivered training Continuous service awards

The role of the Regional Sales Executive is to support by converting high intent direct demand generated outside of e-commerce and agent channels, by exceptional sales engagement and follow-up across all key customer touchpoints, including lead triage and pipeline management. Our London and Manchest

What’s on Offer \n\n • £137.20 per day for every completed route.\n, • Opportunties in Kent and Essex\n, • Van and fuel provided.\n, • Immediate start following induction and training.\n, • On-site parking and referral bonuses.\n, • Supportive team culture with opportunities for ongoing work.\n, • Five to six days per week.\n, • Flexible working days, as Amazon operates 365 days a year.\n, • 11am start with nine-hour shifts.\n, • You must be available to work at least one weekend day each week.\n\n Hiring People are recruiting motivated and reliable self-employed delivery drivers on behalf of Heels2Wheels. \n Whether you have previous multi-drop delivery experience or are new to the industry, you will receive training and support to help you get on the road quickly. \n What You’ll Do \n\n • Load and organise your route each morning.\n, • Deliver parcels safely and efficiently.\n, • Manage your time and follow the planned route.\n, • Provide excellent customer service.\n, • Represent Heels2Wheels with a professional and positive attitude.\n\n What You’ll Need \n\n • A full UK driving licence held for at least 12 months.\n, • Manual or automatic licences accepted.\n, • No more than six penalty points.\n, • You must be aged 21 or over for insurance purposes.\n, • Previous driving or delivery experience is preferred.\n, • The physical ability to lift and handle parcels safely.\n, • Good communication and time-management skills.\n, • A reliable attitude and willingness to work hard.\n, • The ability to pass the required background checks.\n\n Applicants with TT99, CU, TS or BA licence endorsements cannot be considered. Applicants with criminal convictions or a record that raises concerns about safety, intoxication or workplace conduct will also be unsuitable. \n Interview Process \n Interview sessions are held Monday to Saturday, with appointments available between 10am and 1pm. \n Ready to Get on the Road? \n Click Apply and you will receive a short questionnaire. It takes less than 10 minutes and helps us make sure you are a good fit for the role. Once completed, an agent from Hiring People will contact you to discuss the next steps. Be sure to CHECK YOUR JUNK/SPAM \n Reference: INDDRM

Practice Group / Department: \n Commercial Finance - London \n Job Description \n \n Norton Rose Fulbright is a global law firm with more than 3,000 lawyers advising clients across locations in the United States, Europe, Canada, Latin America, Asia, Australia, Africa and the Middle East. We provide a full scope of legal services to the world’s preeminent corporations and financial institutions. \n Our vision is to be a world class business, profitable, ambitious, cooperative and considerate, supporting our clients and people through our global business principles of Quality, Unity and Integrity. \n With over 7,000 employees worldwide, our culture is the thread that connects us. Our strategy and culture are closed connected – defined by shared ambition, global collaboration and a one-team mindset. We believe pioneering work happens when people are empowered to think beyond boundaries, explore new opportunities and grow through diverse experiences. Alongside the right skills and experience, we are looking for people who are innovative, commercially minded, and motivated by the impact of the work they do – ready to share in our ambition and help shape what comes next. \n \n Because while individuals can do well, together we achieve something extraordinary. \n \n The Commercial Finance and Revenue Operations function and our focus \n Part of EMEA Group Finance, the Commercial Finance and Revenue Operations function encompasses Client Financial Decision Support (which includes Pricing & Commercial Insight and Client Finance Support), Finance Business Partnering (strategic financial business management and financial planning and analysis activities), Finance Business Intelligence and Revenue Operations. We support NRF leadership and wider stakeholder groups to run a successful legal practice by providing financial leadership, timely insights and initiatives designed to improve commercial confidence and decision-making quality. \n The Role \n This is a fantastic opportunity for an ambitious individual who wishes to be part of a progressive, proactive and customer-centric team. The successful candidate will play an integral part of driving forward the continuous improvement agenda for the Commercial Finance and Revenue Operations function and its collaboration with other business support professionals. You will be an experienced pricing professional, with strong communication and soft skills, able to work effectively with internal and external stakeholders alike. \n In conjunction with Commercial Finance colleagues, the Manager, Pricing and Commercial Insights will support on the development and execution of the firms pricing agenda ensuring the necessary benchmarking, analytical tools and capabilities exist to support firm and finance departmental strategies. \n Key Responsibilities \n\n • \n Advise Partners of ways to maximise the value of client relationships through different pricing techniques, modelling the financial impact and viability of proposed pricing arrangements and challenging key decision makers when appropriate. Supporting Partners with client facing engagements where needed \n • \n Business partnering with Client Relationship Partners and the Client Development team to provide financial and commercial support, plan deployment and investment to help drive profitability \n • \n Providing senior finance support on commercial improvement projects across EMEA when and as required \n • \n Maintaining a high level of visibility in serving as one of the firm’s subject matter experts for pricing and commercial related matters \n • \n Supporting pricing team promotional efforts including presentations to key stakeholders to increase internal adoption and market awareness. Encourage broader and better use of the Firm’s tools to develop more profitable and consistent pricing approaches \n • \n Supporting on the provision of education to stakeholders involved in pricing proposals and approvals, advancing pricing as a strategic tool to build and enhance client relationships \n • \n Assist Partners in the development of budgets and monitoring against actual performance for matters, particularly complex litigation work where more detailed project management support may be required. The Pricing Manager will act as an advocate and agent for adopting effective legal project management discipline where necessary \n • \n In conjunction with Commercial Finance colleagues, support on the annual review of standard rates to ensure profitability maximisation with appropriate consideration of practice mix and market realities as well as compensation and other costs \n • \n Ensuring strong working relationships with other support functions, in particular Business Development leads to establish, promote and maintain policies and processes required for effective management of pricing for transactions, bids and panel appointments. The successful candidate will also work with NRF’s Transform function to support best use of legal process, people and technology to improve commercial outcomes for the firm and our clients \n • \n Keep abreast of industry pricing practices, particularly for major competitors and assess key trends. Support in the development of pricing models and tools for legal services and monitor profitability and implementation of those models \n • \n In conjunction with other business support professionals, provide advice to stakeholders in relation to improving matter financial performance through the provision of post matter financial analysis and associated pricing and business information \n • \n Collaboration and support on any adhoc commercial and pricing related initiatives as required by the Head of Client Financial Decision Support and the Senior Pricing Manager. \n\n Skills and Experience Required \n Essential: \n • \n A minimum of 4 years relevant pricing experience, with legal pricing experience advantageous. \n • \n Strong commercial acumen and exceptional analysis and financial modelling skills. \n • \n Excellent written and verbal communication and has strength of personality to ensure the perspective of ‘Finance’ is clearly communicated \n • \n Excellent time management skills, able to manage stakeholders during times of conflicting deliverables. The ability to remain calm and focused under pressure \n • \n Excellent soft skills including the ability to influence senior stakeholders and negotiate desired outcomes \n • \n Strong presentation skills and experience in providing internal training \n • \n Hardworking, dedicated and an ambition to grow professionally \n A role model for jun

Our client close to Heathrow is looking for an Export Consol Operations agent \n Job summary \n \n The position is focused on building and operating the company Export Consol Program. By doing so improving our buying power and ultimately the profitability of the company. Alongside profitability we expect to improve and enhance the customer service provided to our customers. You will also be involved in the completion of customs clearances, quotes, arranging shipments and associated documents with focus on consolidation of shipments where possible, flight tracking, cost approval, invoicing, rate negotiation and any other functions as required. The individual should be prepared to be involved multi modal activities as required and provide support to the supervisor during holiday and absent periods from the office. \n \n Key Activities \n \n • Remain in contact with Partners, Airlines and other suppliers to maintain relationships \n • Cost control and rate negotiation \n • Manage and monitor airline bookings \n • Understanding and in some cases completion of end-to-end forwarding activities as the individual role requires \n • Focus on communications between office and warehouse \n • Focus on and improve processes and ultimately customer service \n • Follow strict and time sensitive SOP’s/KPI’s to ensure compliance \n • Work closely with internal and external customers \n • Use of CargoWise/MS office as requested \n • Ensure invoicing and job costing are updated within the required timeframe \n • Month end department compliance \n • Customs Entries and closing of MUCR’s \n • Assist Supervisors and line managers where required \n • Ensure all reports including internal and customer specific are completed within the deadline \n • Resolve queries from customers and suppliers \n • Ensure Best Practice models are adopted \n • Work closely with the line manager to complete Internal and external rates reviews. \n • Assist sales and management with consol development \n • Communicate between office and warehouse \n • Assist the warehouse team with the management of airline deliveries. \n • Operate within companies QA system \n • Always remain customs and H&S compliant \n • Any other tasks as directed by their Supervisor or line manager \n \n Technical Experience \n \n • Fully PC literate on excel and word applications \n • Educated to GCSE/O’ level standard or equivalent \n • Good Customs clearance knowledge \n • Good operational knowledge \n • A high level of customer service skills \n \n Behavioural Competencies \n \n • Problem solving skills \n • Procedure and SOP writing skills and ability to work within these. \n • Customer service driven \n • Result-oriented and driven to achieve goals and meet targets \n • Profitability and result-oriented and always looking for improvement in our business processes \n • Team oriented \n • Well organised \n • Quality focus \n • Good Knowledge of CargoWise \n • Knowledge of Customs Tariff and Procedures \n • Financial Awareness \n • Negotiation Skills \n • Willingness to work flexible hours as the business requires \n • Self-motivation and drive to succeed. \n \n The salary will be up to £38K depending on experience \n \n The hours will be circa 0900-17.30 \n \n Please send your CV to Kellie Buckley \n \n • We are only able to accept applications from candidates with previous experience for this role. \n If you do not hear from us your application has been unsuccessful. \n \n

Our client is a leading international law firm with over 50 offices spanning the globe. They have nearly 4000 lawyers across Europe, North & Latin America, Asia, Middle & Far East and Australia. Their London based accounts department provides a professional service to the international practice. \n The firm has one of the best benefits packages in London and are renowned for this investment in training for lawyers and business support staff. \n This is a fantastic opportunity for an ambitious individual who wishes to be part of a progressive, proactive and customer-centric team. The successful candidate will play an integral part of driving forward the continuous improvement agenda for the Commercial Finance and Revenue Operations function and its collaboration with other business support professionals. \n You will be an experienced pricing professional, with strong communication and soft skills, able to work effectively with internal and external stakeholders alike. In conjunction with Commercial Finance colleagues, the Manager, Pricing and Commercial Insights will support on the development and execution of the firms pricing agenda ensuring the necessary benchmarking, analytical tools and capabilities exist to support firm and finance departmental strategies. \n Responsibilities \n\n • Advise Partners of ways to maximise the value of client relationships through different pricing techniques, modelling the financial impact and viability of proposed pricing arrangements and challenging key decision makers when appropriate.\n, • Supporting Partners with client facing engagements where needed.\n, • Business partnering with Client Relationship Partners and the Client Development team to provide financial and commercial support, plan deployment and investment to help drive profitability.\n, • Providing senior finance support on commercial improvement projects across EMEA when and as required.\n, • Maintaining a high level of visibility in serving as one of the firm’s subject matter experts for pricing and commercial related matters.\n, • Supporting pricing team promotional efforts including presentations to key stakeholders to increase internal adoption and market awareness.\n, • Encourage broader and better use of the Firm’s tools to develop more profitable and consistent pricing approaches.\n, • Supporting on the provision of education to stakeholders involved in pricing proposals and approvals, advancing pricing as a strategic tool to build and enhance client relationships.\n, • Assist Partners in the development of budgets and monitoring against actual performance for matters, particularly complex litigation work where more detailed project management support may be required.\n, • The Pricing Manager will act as an advocate and agent for adopting effective legal project management discipline where necessary In conjunction with Commercial Finance colleagues, support on the annual review of standard rates to ensure profitability maximisation with appropriate consideration of practice mix and market realities as well as compensation and other costs\n, • Ensuring strong working relationships with other support functions, in particular Business Development leads to establish, promote and maintain policies and processes required for effective management of pricing for transactions, bids and panel appointments.\n, • Keep abreast of industry pricing practices, particularly for major competitors and assess key trends. Support in the development of pricing models and tools for legal services and monitor profitability and implementation of those models.\n, • In conjunction with other business support professionals, provide advice to stakeholders in relation to improving matter financial performance through the provision of post matter financial analysis and associated pricing and business information.\n, • Collaboration and support on any adhoc commercial and pricing related initiatives as required by the Head of Client Financial Decision Support and the Senior Pricing Manager.\n\n Candidate Profile \n\n • A minimum of 4 years relevant pricing experience, with legal pricing experience advantageous.\n, • Strong commercial acumen and exceptional analysis and financial modelling skills.\n, • Excellent written and verbal communication and has strength of personality to ensure the perspective of ‘Finance’ is clearly communicated\n, • Excellent time management skills, able to manage stakeholders during times of conflicting deliverables.\n, • The ability to remain calm and focused under pressure\n, • Excellent soft skills including the ability to influence senior stakeholders and negotiate desired outcomes\n, • Strong presentation skills and experience in providing internal training\n, • Hardworking, dedicated and an ambition to grow professionally\n, • A role model for junior staff who is committed to sharing knowledge and developing talent\n, • A collaborative team-player who is transparent and has a straight-forward approach.\n, • Experience of working with varied and cross-functional teams to deliver on business objectives.\n, • Educated to degree level\n, • A deep understanding of legal products and services\n\n Important Notice \n It is Career Legal’s policy, as a matter of courtesy, to respond to all applications within three working days. However because of the volume of applications, we are sometimes unable to respond to individual candidates. If we have not contacted you within three working days your application has been unsuccessful and your details have not been retained. Please apply for any other position that you may see in the future. Thank you \n Career Legal is a Recruitment Agency and is advertising this vacancy on behalf of one of its Clients.

Ready for a Challenge?\n Welcome to Just Eat Takeaway.com, a leading global online delivery platform where our mission is to empower everyday convenience. Whether it's a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery, and convenience partners worldwide. The Opportunity\n We are on the lookout for a Technology Manager to lead and grow our Partner Assistance team in the Acquisition, Onboarding, and Service domain. This dedicated team is all about supporting our partners to help them succeed and thrive, managing significant volumes of partner contacts globally. \n As a Technology Manager, you will oversee the end-to-end technical delivery of three major Partner-facing AI initiatives: \n\n • Partner AI Voice Agent (AIVA): Automate high-volume telephony contacts, including opening hours management, order cancellations, device support, order status, and proactive outbound calling.\n, • Partner Assistant (Chatbot): Manage the strategic migration of the Partner Chatbot from Ultimate to an internal solution across key markets.\n\n You will coordinate complex integrations across multiple internal and third-party systems, ensuring feature parity and enhanced capabilities. Key Responsibilities\n At JET, Technology Managers are pivotal in steering the technical direction, ensuring engineering quality, and executing projects. You will work closely with your team to design and implement solutions that enhance our customer and partner experiences. You’ll be responsible for:\n\n • End-to-End Delivery: Oversee the technical delivery of Partner AI Voice Agent and Partner Assistant (Chatbot).\n, • Strategic Migration: Manage the migration of the Chatbot from Ultimate to an internal solution across global markets.\n, • System Integration: Coordinate complex integrations across various internal and external systems.\n, • Liaison & Coordination: Act as the primary technical liaison between stakeholder teams and the engineering/QA squads.\n, • Product Definition: Contribute to defining significant product features through workshops with engineering teams and Product Managers.\n, • Technical Leadership: Collaborate with your Senior Technology Manager to define and communicate a technical roadmap for the domain.\n, • Career Development: Help define goals and objectives for engineers, guiding them throughout their careers.\n, • Prioritisation: Work closely with stakeholders to ensure the domain sets priorities aligned with commercial needs and the Engineering Strategy.\n, • Ownership: Own streams of work from requirements gathering to design and support functionality in production.\n, • Continuous Improvement: Propose and implement new processes, designs, and engineering practices to enhance effectiveness.\n, • Tracking Progress: Monitor progress towards the domain's goals and communicate transparently with teams and your Senior Technology Manager.\n, • Operating: Take responsibility for deploying and supporting changes to ensure they work well in production.\n, • Communicate: Share progress and discuss ideas with your teams and Senior Technology Manager.\nYour Profile & Experience\n You will have experience matching some of the following: \n\n • Leading and developing a team of engineers using AI/Chatbot platforms and Event Driven Architecture.\n, • Proven track record in managing API integrations (Zendesk, CRM systems).\n, • Familiarity with Amazon Web Services (or similar platforms like Azure, Google Cloud).\n, • Delivering high-quality software projects while driving best practices.\n, • Able to work independently and solve complex problems.\n, • Experience in an Agile environment (Scrum, Kanban).\n, • A desire to coach engineers and foster a high-performance culture.\n, • Experience with Telephony/AI Voice solutions is a plus (e.g., Twilio, ElevenLabs).\n, • Hands-on experience with AI harness tools.\nAt JET, This is How We Play\n Our teams forge connections internally and collaborate with some of the best-known brands globally, giving us a truly international impact in a dynamic environment. Being the best at what we do isn’t just about delivering on our strategy; it’s about winning our customers' choice every time they decide where to order. \n At the heart of the JET Customer League are our values and behaviors, guiding every interaction, decision, and innovation. We strive to surpass the competition and earn our customers’ loyalty consistently. \n Fun, fast-paced, and supportive, the JET culture is about movement, growth, and celebrating wins. By embodying our values, we’re building a customer-first culture that keeps us ahead of the competition. Inclusion, Diversity & Belonging\n No matter who you are, what you look like, who you love, or where you come from, you can find your place at Just Eat Takeaway.com. We’re committed to creating an inclusive culture that encourages diversity of thought and allows all employees to bring their most authentic selves to work every day. What Else Are We Delivering?\n Want to know more about our JETers, culture, or company? Explore our career site for stories, blogs, podcasts, and more JET journeys. Are You Ready to Join the Team? Apply Now!

Project Coordinator Location: Hounslow, West London Salary: £15.00 per hour Job Type: Temporary to Permanent Start Date: Immediate Working Pattern: Full-time, Office Based (1 day per week from home available after successful completion of 3-month probation) We are recruiting for an experienced and highly organised Project Coordinator to join a busy team based inHounslow. This is an excellent opportunity for someone who enjoys working in a fast-paced environment, managing multiple priorities, coordinating projects, analysing data, and engaging with stakeholders at all levels. Originally created as an administrative position, this role has evolved into a key project coordination function requiring strong digital skills, exceptional communication abilities, and the confidence to work with senior managers, operational teams, contractors, and clients. The successful candidate will play a vital role in supporting the delivery of electrical and highways-related projects, maintaining data integrity across multiple systems, investigating customer complaints, producing reports, and ensuring project information is accurately managed and communicated. Key Responsibilities Provide comprehensive project administration support to the Electrical Services team. Coordinate activities across multiple projects, ensuring deadlines and actions are tracked and completed. Chase updates and information from senior managers, operational crews, and external contractors. Monitor project progress and maintain accurate records across multiple systems. Support programme updates and assist with project reporting.Data Management & Analysis Receive, validate and process project information from various sources. Enter, maintain and update information within central databases and Excel spreadsheets. Manage data across multiple systems, ensuring accuracy and consistency. Catalogue records using appropriate classifications and tags. Digitise physical records and transfer them into electronic systems. Retrieve and provide information upon request. Produce data reports and analyse trends, discrepancies and performance metrics. Utilise advanced Excel functions including Pivot Tables, Lookups and data analysis tools. Reporting & Communication Produce professional reports, summaries and project documentation. Prepare presentation materials for management meetings and stakeholders. Communicate clearly and confidently with internal and external stakeholders. Tailor communication style to suit different audiences, from operational staff to senior leadership teams. Support client-facing activities where required.Experience Required Previous experience in a Project Coordinator, Project Administrator, Project Support Officer, or similar role. Strong project administration experience. Excellent written and verbal communication skills. Experience investigating complaints, reviewing cases and drafting formal responses. Strong customer service and stakeholder management skills. Advanced Microsoft Office skills, particularly Excel. Ability to analyse data and produce meaningful reports. Experience working across multiple digital systems and databases. Excellent organisational skills with strong attention to detail. Ability to manage competing priorities and work to deadlines. Confident communicating with senior managers and external stakeholders. Proactive, self-motivated and able to work independently. Strong problem-solving abilities. Experience producing reports and presentations.Personal Attributes Confident and professional. Organised and highly detail-oriented. Diplomatic and tactful when managing challenging situations. Resilient and comfortable working in a demanding environment. Able to influence and motivate others to provide information and complete actions. A strong team player who can also work independently. Adaptable and quick to learn new systems and processes. Analytical, inquisitive and naturally curious. Proactive with a positive, can-do attitude.Please contact Paige Dent at Office Angels Staines to express your interest in this opportunity. Upon application for this role you will receive a text message/email link to engage with our AI agent, please complete this to enhance your application We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention. Office Angels is an employment agency and business. We are an equal-opportunities employer who puts expertise, energy and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, abilities and more. By showcasing talents, skills and unique experiences in an inclusive environment, we help individuals thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. Office Angels acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. Office Angels UK is an Equal Opportunities Employer. By applying for this role your details will be submitted to Office Angels. Our Candidate Privacy Information Statement explaining how we will use your information is available on our website

Fin, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to s

Mercier Consultancy MD is on the lookout for a Dutch Speaking Customer Experience Agent to join our vibrant team in Sofia! We are looking for customer-focused individuals who are eager to provide outstanding support and build relationships with our Dutch-speaking clients.

The $3T commercial insurance market runs on email threads and spreadsheets. Our client is building the AI agent layer that fixes this: submission intake, data extraction, insurer outreach, quote comparison. Brokers cover more ground without ripping out the systems they already use. They started in April and are already live with 3 of the top 10 global brokers (over $150B combined market cap), backed by leading European and American investors. The founders closed every one of those deals themselves. Before this, their CEO ran deployment at another AI company, where he personally closed four of the top ten players in that category and took revenue from zero to seven figures inside a year. First commercial hire, working directly with the founders. You sell hands-on to brokers and define the GTM motion as you go: target list, pitch, sales cycle, pricing. The market is unusually concentrated. Around 20 companies matter, most of them within a mile of each other in the City of London, with 10 to 20 relevant buyers inside each - 200 to 400 people in total, and it is the entire universe. You can learn all of them, and you should. Full deployments are priced on the value they create and land in the £1-4M range. You will work directly with the founders and turn early customer conversations into a repeatable sales process. Someone who has sold, not only managed sellers: you have closed enterprise deals yourself, worked without a playbook or a support function around you, and want to build a GTM function from zero. This year's measure is how many of the top 20 brokers they are working with, not a revenue target. The commission plan is written with the person who takes the role. There is no inherited territory or existing playbook; you set the plan, then hire the team that runs it. Insurance experience is not required. These deals are won on judgement and relationships rather than domain knowledge, and the domain is taught on the job. Ownership of the GTM function: targets, comp plan, pricing approach and the first hires into the team Working directly with founders who have closed clients from the top 10 in the industry themselves Five days a week in office in London Vauxhall, plus regular time on client sites Intro call with TechTree, then a call with the CEO and co-founder, then a half day in person including a case study. #J-18808-Ljbffr

Finova is the UK’s largest financial services technology provider, supporting one in every five mortgages nationwide. Our agile, cloud-native solutions enable over 60 banks, building societies, specialist lenders, equity release providers and a network of 2,400+ brokers to stay ahead in a competitive market. Built on open architecture and backed by deep industry expertise, our platform is designed to scale. Each year, we process over £50 billion in loans, manage nearly £50 billion in loans and savings, and support the digital servicing of more than 650,000 UK borrower accounts. Be part of a team that’s driving innovation, enabling growth and shaping the future of UK lending. Finova offers a flexible, modular technology suite designed to help lenders move faster, scale efficiently and deliver standout digital experiences. Financial Institutions use Finova to launch products faster, process applications up to 50% more efficiently and reduce operational costs — all while staying fully compliant in a fast-moving market. We are a close-knit team who strive for the best in everything we do. We have grown considerably over the past couple of years as the business has grown so that we can provide a first‑class service to our colleagues and external stakeholders. We work closely alongside the business to partner with them in achieving their successes. On a daily basis we collaborate with department heads, customers and suppliers as well as providing support to our 450+ colleagues. This is a focused 6–12 month transformation engagement within FP&A, reporting to the Head of FP&A. The FP&A Transformation Manager will design and embed new data, systems and reporting processes across budgeting, forecasting, cash, workforce planning and revenue reporting. Success in this role depends on strong finance domain knowledge combined with a genuine ability to work hands‑on with data and systems: cleansing, mapping, and designing efficient, low‑manual‑effort pipelines from source data through to board pack and budget holder reporting. The ideal candidate will take a pragmatic 80/20 approach, delivering quick, visible impact first before refining the detail. They will combine their technical execution with expert change management to leave behind a smooth, embedded process that the business can run without them once the engagement ends. • Proven, practical experience redesigning budgeting, forecasting or cash forecasting processes within a business., • Demonstrated experience building budget files and forecasting tools that budget holders can use and update themselves, not just finance., • Practical experience in workforce planning and cost modelling, including analysing the cost impact of workforce decisions., • Hands‑on experience with data cleansing, mapping and structuring data to support flexible reporting., • Experience designing and maintaining a clear cost ownership allocation process, including for supplier invoices where the correct owner isn’t always obvious., • Exceptional communication skills, with the ability to translate complex financial concepts (like the difference between cash and P&L, accruals, and prepayments) into clear, actionable language for non‑finance stakeholders., • Experience improving reporting accuracy, including designing simple, repeatable processes that non‑finance teams (e.g. client delivery or customer success) can easily apply to capture granular data on why variances occur., • Strong understanding of technology, data, systems and process design., • A pragmatic 80/20 mindset — able to give examples of delivering fast initial impact before refining the detail., • Comfortable working as a fixed‑term or project‑based transformation resource, with a track record of designing and handing over processes rather than running them long‑term., • Genuine curiosity about technology and automation, with examples of using these to solve real finance problems., • Proven track record in change management—capable of influencing without authority, proactively managing resistance, and driving widespread adoption of new ways of working across diverse teams., • Experience designing and delivering training, playbooks, or onboarding materials that empower business users to confidently take ownership of new processes., • Familiarity with tools similar to our stack: Google Sheets, BigQuery, NetSuite, Pivot (AP), Ironclad (contract management), HubSpot (CRM) and Kantata (project management). Knowledge of SQL would also be an advantage., • Design processes and data pipelines that populate reporting packs with minimal manual effort, working backwards from the reporting output to ensure the underlying data inputs are clean and the transformation from data to output is efficient., • Design user‑friendly forecasting files that make it easy for budget holders to update their own forecasts., • Redesign the cash forecast so its inputs are easy to maintain and feed from source systems as much as possible, reducing manual updates., • Design a clear, durable process for cost ownership allocation, including identifying owners for supplier invoices and costs, that the business can keep accurate without ongoing finance involvement., • Structure data to enable better workforce planning and dynamic cost modelling, including the cost impact of workforce decisions., • Set up a repeatable, streamlined process for capturing granular variances and commentary, designed so the business, not finance, can easily apply and own the tagging., • Act as an internal consultant and change agent: partner actively with stakeholders to understand their pain points, communicate the "why" behind new processes, and champion the transition., • Apply an 80/20 approach: deliver quick impact first, then refine the detail into a smooth, embedded process., • Identify opportunities to use AI and automation to remove repetitive manual work across FP&A processes., • Develop clear documentation and execute a structured handover plan (including training sessions) to ensure new processes run smoothly as business-as‑usual once the engagement ends., • Other ad‑hoc FP&A projects, • Hybrid working: At Finova, we believe the best outcomes come from working together - and having the flexibility to work in a way that suits both our people and our business. We operate a hybrid working model, with most teams spending around three days a week in the office and with our customers. This time together helps us stay connected, collaborate more effectively, and solve complex challenges as a team. We also know that flexibility matters. Our approach is designed to support a healthy balance, combining in‑person collaboration with the freedom to work remotely where it makes sense., • Holiday: 25 days holiday plus bank holidays, bank holiday trading and holiday purchase options, the opportunity to work from anywhere in the world for up to 4 weeks per year., • Looking After You: Life Assurance, Group Income Protection, Private Medical Insurance, a pension scheme via Salary Exchange, an Employee Assistance Programme, and access to a Virtual GP., • Family‑Friendly Policies: Enhanced maternity and paternity pay, as well as paid time off for fertility treatments and pregnancy loss., • Extra Perks: Cycle to Work Scheme, discounts on shops, restaurants, and gym memberships, free fresh fruit daily, and opportunities to join colleague networks and social groups., • Giving Back: One paid volunteering day annually and the Give-As-You-Earn scheme to support your favourite charities. We value diversity and are committed to creating an inclusive environment for all employees. #J-18808-Ljbffr

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models. Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability. You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise. • Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements., • Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows., • Provide white glove deployment support for Anthropic products in enterprise environments., • Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams., • Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks., • Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement., • Travel frequently (25-50%) to customer sites to build in person with customers., • Be a champion for Anthropic’s mission in the field., • 4+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting or product experience. Former technical founders are also encouraged to apply., • Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale., • Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications, • High agency with an ability to navigate ambiguity present in complex organizations., • High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity., • Passion for advancing safe, beneficial AI systems through creative technical applications., • Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach., • A background in financial services, healthcare/life sciences, or another enterprise vertical is a plus., • Experience with enterprise IT systems and/or AI deployment patterns is a plus. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. £225,000—£255,000 GBP • Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience, • Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience, • Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position, • Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices., • Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Learn about our policy for using AI in our application process. #J-18808-Ljbffr

We have an exciting opportunity for a Quantity Surveyor to join our team within Vistry Cornwall South West, at our Exeter office. As our Quantity Surveyor, you will be responsible for managing all costs relating to our projects. Your focus is to minimise the costs of a project and enhance margin and value for money, whilst still achieving the required standards and quality. This will also include procurement, subcontract management inclusive of administration of the contract, monthly payments, and final account settlement. We value in-person collaboration and team culture, but we're also committed to supporting flexible working where possible. We encourage you to raise any specific requirements during the interview process so we can explore how this could be accommodated. • Competitive basic salary and annual bonus, • Company car, car allowance or travel allowance, • Salary sacrifice car scheme available to all employees, • Up to 39 days annual leave plus bank holidays, • 2 Volunteering days per annum, • Private medical insurance, with employee paid cover, • Enhanced maternity, paternity and adoption leave, • Competitive pension scheme through salary sacrifice, • Life assurance at 4 x your annual salary, • Share save and share incentive schemes, • Christmas company shutdown, • Employee rewards portal with many more benefits, • Behave in line with our company values - Integrity, Caring and Quality, • HNC in Surveying or Construction or equivalent, • Experience of working within the Construction industry for a residential housing developer, • Excellent IT, analytical and communication skills, • Strong mathematical ability, • Ability to assess and analyse information, • Good business sense, • Good understanding of budget management, • Negotiating and networking skills, • COINs user experience, • Enthusiasm, • Flexibility, • Able to work within a busy team and under pressure, • Good team working skills, • Accurate with an eye for detail, • A methodical approach, • Willing to work extra to meet deadlines as and when the business needs require it, • HND or higher qualification, • Professional membership of MCIOB or RICS preferable or working towards such qualification, • National House builder experience, • Different methods of construction i.e. Timber Frame, • Working closely with other departments, including Land, Development and Construction, you will attend design meetings to advise on all areas that may have a cost implication, • Attend development meetings when appropriate, contract pre-start and subcontract package review meetings, • Upon receipt of Contract Documentation, you will be responsible for checking all contract drawings to identify errors, omissions, anomalies and areas where unnecessary cost may arise, • Receive initial tender information and assist in the preparation of the proposed tender lists and updating of subsequent procurement programmes, • Distribute design information packages and tender drawings, whilst preparing all tender documentation and letters including carrying out preliminary checks on subcontractors, • Preparing construction cost analysis, which includes analysis of quotations resulting from the tender enquiry, requesting additional and outstanding information as required, • Assess site staffing levels and build programmes with the Construction Director to ascertain preliminary costs, including collating all cost information and preparing the start on site budget, • Arrange and adjudicate budget settlement meetings, with the support of the wider Commercial team, • Prepare stage payment schedules to assist in the financing of the works, • Carry out pre-order meetings including all necessary Health & Safety requirements, finalising a tender sum and agreeing a stage payment schedule for payment purposes before preparing all contract documentation and placing the order, • Place subcontractor orders, including interviews and checking references on selected subcontractors. You will then negotiate the contract sum within the budget, including finalising costs to cover all late variations, • Issue variation orders and development changes alongside providing cost advice on major variations prior to issue. You will issue revised contract drawings to subcontractors; negotiating the cost of variations including liaising between Buyers and Build Managers. You will provide a full range of pricing information for purchaser's extras, • Check all costs posted to each contract, collate and reconcile all costs resulting from subcontract works, variation orders, site instructions, material order and preliminary / running costs. This will include providing monthly analysis of costs and identify possible areas of over expenditure at future dates, • Check and arrange subcontractor payments, obtaining necessary authorisation for passing payments for all elements of subcontractor works. You will agree final accounts with subcontractors, ensuring all works have been carried out within budget and analysing costs to assist on future estimates, • Take responsibility for the preparation of documents for the basis of external valuation with the client's agent (CSA, Stage payment schedule, Tick offs), • Keep the RAMS schedule updated and issued to all relevant parties, • Liaise with the Customer Service department on post-completion defects, providing cost advice where necessary, • Attend site meetings, project team meetings, subcontractor meetings and surveying meetings as required, • Any other reasonable duties as directed by your line manager to support the wider teams We build more than homes, we're making Vistry. Being a responsible developer and award-winning employer means we live each day through our ethos - doing the right thing. Our behaviours reflect this, as well as our values of integrity, caring and quality. Shaping all we do; they empower us to develop sustainable communities across affordable and private housing. We work in a partnership-led way, and you'll recognise our renowned brands Bovis Homes, Linden Homes and Countryside Homes. Together with Vistry Works, our manufacturing operation, and the functional support of Vistry Services, we're a proud UK Green Building Council member, UK top five housebuilder with a five-star House Builders Federation (HBF) customer satisfaction rating, and winner of many awards including Top Employer, Global Top Inspiring Workplaces, and Best for Talent Attraction and Outreach. Join us in making Vistry. #J-18808-Ljbffr

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. As an Applied AI Engineer on our Digital Native Business team, you'll help fast-growing, tech-forward companies build their products on Claude. You'll be the technical advisor their engineering teams turn to for architecture, agent design and evaluation, and you'll work alongside them, pair programming and reviewing architectures, to get from first prototype to production at scale. You’ll partner with Account Executives and Applied AI Architects to take each customer from first conversation through technical evaluation and proof of value to a confident decision to build on Claude, then stay close as they ship and scale. These customers move quickly and expect you to have built things yourself, so you’ll be at your best in the code and the architecture review, not just the meeting. Alongside Anthropic's Product and Engineering teams, you'll develop custom evaluation frameworks, prototypes and reference architectures, and turn what you learn across engagements into technical content and product feedback that helps other builders succeed with Claude. • Serve as a deep technical advisor to high-growth, tech-forward companies, working alongside them to build innovative use cases that push the boundaries of AI, • Work hands-on with customer engineering teams: pair programming, architecture reviews, and code contributions that accelerate their development, • Develop prototypes and technical documentation—including evaluation suites, AI engineering techniques, and architecture diagrams that enable customers to build and scale with Claude, • Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements, • Identify patterns across engagements and contribute insights back to Product, Engineering, and the broader Applied AI team, • Create technical content for developer audiences including documentation, tutorials, and sample code, • Foster community engagement through hackathons, webinars, technical office hours, and developer-focused events, • Travel to customer sites for workshops, implementation support, and relationship building, • 4+ years of experience as a Software Engineer, Forward Deployed Engineer, or technical founder, • Experience in a customer-facing or pre-sales technical role - partnering with customers to scope, design, and deliver solutions, • Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale, • Strong programming skills with proficiency in Python and experience building production applications, • Experience working with high-growth, tech-forward companies, • Ability to context-switch across industries (healthcare, fintech, etc.) and use cases, • Builder credibility that earns trust with technical founders and engineering leaders - you've shipped products and can speak from experience, • Strong technical communication skills with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans, • Experience facilitating technical workshops, hackathons, or developer-focused events, • Passion for making powerful technology safe and beneficial The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. £225,000 — £255,000 GBP • Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience, • Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience, • Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position, • Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices., • Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this., • We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We’re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process. #J-18808-Ljbffr

At Verisure, we are committed to empowering our people to succeed. Whether you're looking for a fresh start or aiming to grow your career in sales, we provide one of the best sales training and mentorship programmes, supporting you every step of the way! • Comprehensive training and mentorship: we invest in your development, • Clear career progression and long-term growth opportunities, • A meaningful role: we are people protecting people, and your work will make a real difference Recognised as Top Employer 2026 for the last four years consecutively, Verisure is offering an exciting opportunity to join our sales team as a SALES CONSULTANT and become part of an award-winning organisation! • Learn and master best-in-class sales techniques with full support from our experienced sales managers, • Meet new people every day, helping them protect what matters most: their homes and their businesses, • Develop your portfolio of customers through a mix of customers provided by our marketing call centre, and your own field prospecting activities, • A MEANINGFUL MISSION: We are people protecting people, and we take great pride in what we do, • GROWTH AND DEVELOPMENT: Structured training from day one at the Verisure Academy, complemented by ongoing coaching from your manager and a clear career path, • GREAT FINANCIAL COMPENSATION: Uncapped commissions - Over half of our salespeople earn an average of £3,800 gross per month, and our top 10% earn over £6,000 gross per month. We also offer exciting rewards throughout the year (trips to Miami, Thailand, Dominican Republic, iPhones, gift cards & more), • GREAT BENEFITS: Company car with fuel card from month five, mobile phone, permanent contract, Bupa health insurance, pension plan & more, • A GREAT PLACE TO WORK: A collaborative, inclusive, and empowering workplace! We win as a TEAM!, • Unlimited passion for connecting with new customers and serving them, • Incredible team spirit with a professional and customer-focused attitude, • Passion to protect what really matters, • A minimum of 2 years of work experience in any field, • A valid driving licence (0-3 points) as you will be visiting prospective clients A DBS check (fully covered by us) will be conducted before you join You will need to use your own vehicle for the first 4 months. You will receive compensation for expenses incurred Verisure is an inclusive disability-friendly and disability-positive company, and our positions are open to people with disabilities. #SALES CONSULTANT, #SALES EXECUTIVE, #SALES ASSOCIATE, #SALES REPRESENTATIVE, #SALES, #SALES AGENT, #TECHNICAL SALES, #BUSINESS DEVELOPMENT MANAGER, #ACCOUNT MANAGER, #COMMERCIAL #J-18808-Ljbffr

About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. We are looking for an experienced and forward-thinking AI Project Manager to lead the design, deployment, and optimisation of AI-powered projects within our Customer Service Operations. This role sits at the intersection of technology and customer experience driving value for our Travelers across our global experiences catalog. As part of the Service Excellence team you will work closely with our AI Automation Lead working cross-functionally with our R&D, Technology, Service-Operations, Data and Supply teams to ensure AI implementation projects are delivered on time, driving measurable value to our Travelers. Hybrid, requires 2 days per week in our London office. • Lead end-to-end delivery of AI and automation projects within the customer service function, from discovery and scoping through to deployment and review., • Develop and maintain a roadmap of AI initiatives aligned with customer service OKRs and business priorities., • Manage project timelines, budgets, risks, and stakeholder communications across multiple concurrent workstreams., • Coordinate with external vendors and internal engineering teams to ensure seamless integration of AI solutions with existing CRM, telephony, and other platforms., • Monitor AI system performance (e.g. chatbot containment rates, CSAT, deflection metrics) and drive continuous improvement cycles., • Partner with Quality Assurance and workforce planning teams to assess the impact of AI on agent workload, skill requirements, and scheduling., • Identify manual or repetitive processes within customer service operations that are suitable for intelligent automation., • Ensure AI tools comply with data protection regulations (e.g. UK GDPR) and internal governance frameworks., • Act as the primary point of contact between the customer service leadership team and AI/tech delivery functions., • Lead change management and communication efforts to ensure frontline agents and team leaders understand, trust, and effectively use AI tools., • Facilitate workshops, training sessions, and feedback loops to capture agent insights and refine AI behaviour., • Present project updates, performance data, and business cases to senior leadership and executive stakeholders., • Champion responsible AI practices, ensuring fairness, transparency, and customer trust are embedded into all solutions., • Maintain clear documentation of AI model inputs, outputs, decision logic, and escalation pathways., • Work with Legal, Compliance, and Data teams to conduct impact assessments and ensure ongoing regulatory compliance., • 3+ years of project management experience, ideally within customer service, contact centre, or CX environments., • Demonstrated experience delivering AI, automation, or digital transformation projects (e.g. conversational AI, RPA, NLP, knowledge management tools)., • Strong understanding of customer service operations, including contact centre metrics, workflows, and team structures., • Excellent stakeholder management skills, with the ability to translate technical concepts for non-technical audiences., • Proficiency with project management methodologies (Agile, Scrum, Waterfall, or hybrid approaches)., • Analytical mindset with experience using data to track performance and make evidence-based decisions., • Familiarity with data privacy obligations relevant to AI, including UK GDPR., • Experience with AI/CX platforms such as Salesforce Einstein, Zendesk AI, Google CCAI, Genesys, or similar., • Awareness of large language models (LLMs), prompt engineering, and generative AI use cases in a service context., • Project management certification (e.g. PMP, PRINCE2, APM, or SAFe)., • Background in change management, employee engagement, or learning & development., • Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses, • “Work your way” with flexibility to suit your lifestyle. Tripadvisor Group takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you’d like or as required by your team., • Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work., • Donation matching. Give back? Give more! We match qualifying charitable donations annually., • Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs., • Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you., • Travel perks. We believe that travel is employee development, so we provide discounts and more., • Employee assistance program. We’re here for you with resources and programs to help you through life’s challenges., • Health benefits. We offer great coverage and competitive premiums., • Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates. We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else’s problem and finish what can be done today, knowing tomorrow will bring fresh challenges. The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at . If you have any additional questions about careers at Tripadvisor you can email us at . We have all the answers! #J-18808-Ljbffr

ESTATE OPERATIVE Rendall & Rittner • £25,521 • White City Living - W12 7RQ • Wednesday - Sunday 0800 - 1600 DEVELOPMENT DETAILS Join a landmark West London neighbourhood delivering up to 1,465 new homes, where life runs through 39,000 sq ft of exceptional residents' amenities. From lounges and cinemas to pools and a Health Club with virtual golf, this is a hospitality-grade setting with a constant buzz. The development sits beside White City and Wood Lane Underground stations, bringing a diverse community, frequent visitors and a fast-paced, high-standard environment to support every day. ROLE EXPECTATIONS You will be the visible, proactive face of the estate, keeping communal areas pristine, welcoming residents and supporting the smooth running of daily operations. You will complete cleaning, caretaking and minor maintenance tasks, respond to requests, and work closely with onsite teams and contractors to maintain five-star standards. WHAT SUCCESS LOOKS LIKE Residents feel welcomed, listened to and confident that issues are resolved promptly. Communal areas, facilities and back-of-house spaces are consistently clean, safe and well-presented. Tasks are completed on time with clear updates logged and escalations made when needed. Health and safety procedures are followed precisely, with hazards identified and addressed early. You collaborate seamlessly with the concierge, management and contractors to keep the estate running smoothly. You spot opportunities to improve standards and take initiative to make them happen. HOW YOU'LL SPEND MOST OF YOUR TIME Carrying out scheduled cleaning, waste management and caretaking across internal and external communal areas. Conducting regular inspections, reporting defects and supporting minor repairs or arranging contractor access. Assisting residents courteously, answering queries and signposting to the right support. Setting up and resetting shared spaces, plant rooms and back-of-house areas to agreed standards. Monitoring health and safety, completing checklists and ensuring safe systems of work are followed. Supporting deliveries, keys, storage areas and general logistics to keep operations efficient. WHO THIS ROLE IS FOR You take pride in high standards and notice the details others miss. You are friendly, approachable and calm under pressure, with a can-do attitude. You enjoy active, hands-on work and being on your feet around a large, premium site. You communicate clearly, work well in a team and follow through on commitments. You are reliable, punctual and comfortable working early shifts over Wednesday to Sunday. EXPERIENCE THAT HELPS Experience in estates, facilities, housekeeping, hospitality or leisure environments. Familiarity with cleaning equipment, safe waste handling and basic maintenance tasks. Knowledge of health and safety practices, including risk awareness and hazard reporting. Experience supporting residents or customers in busy, service-led settings. Confidence using radios, handheld devices or basic systems to log tasks and updates. WHAT WE OFFER 20 days holiday plus bank holidays Enrolment into the Rendall & Rittner pension scheme Employee assistance programme supporting family, health, money and work Employee referral scheme Team uniform* subject to development Fully funded training and development opportunities Access to discounts across travel, retail, fitness and entertainment ABOUT RENDALL & RITTNER Rendall & Rittner is one of the UK's most established and highly accredited residential leasehold property management companies, managing over 90,000 homes nationwide. Founded in 1990 on the belief that property management should be more professional, transparent and customer-focused, those principles still drive how we operate today as a founding partner of Odevo. We are people-led and technology-enabled, investing heavily in our teams, systems and continuous improvement. Our standards are recognised through Investors in People Platinum, regulation by RICS and the FCA, and multiple industry awards, including Property Manager of the Year and Managing Agent of the Year. HOW WE HIRE Initial conversation with our talent team Interview focused on your site standards, customer service, health and safety awareness and teamwork We aim to complete the process within two to three weeks and communicate clearly throughout. INTERESTED? Apply with your CV. All applicants must be eligible to live and work in the UK. Documentary evidence of eligibility will be required. Appointment is subject to a valid DBS check. TPBN1_UKTJ

At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive. At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive. As a Forward Deployed Lead / Principal Engineer (FDE) with an AI & Agentic Engineering focus (Band 9), you own the technical direction and delivery of major enterprise AI programmes — architecting the agentic systems and generative AI applications that go into production in close collaboration with platform engineering. You align enterprise goals with target-state AI architectures for senior stakeholders, guide the team’s technical direction while staying close to the work, and work hand-in-hand with the platform engineers on the team throughout design, build, and deployment. You combine deep expertise in agentic AI systems, RAG, and applied software engineering with strong consulting acumen. You establish AI governance frameworks, champion sound engineering practice across the AI delivery lifecycle, and act as a go-to technical reference on complex engagements. Depending on the engagement, you’ll draw on some of the below more than others — not every bullet applies to every project. • Design and build agentic AI applications and multi-agent workflows, along with the frameworks that run them, for enterprise use cases, • Build RAG pipelines and integrate LLM APIs, vector databases, and MCP (Model Context Protocol) tooling, • Process unstructured data into condensed, structured knowledge, including ontology extraction, • Write production-grade Python services (FastAPI) with solid engineering practices: design, testing, code review, CI/CD, • Work with relational and graph databases (e.g.Postgres, Neo4j) to model and serve data behind AI applications, • Work closely with platform engineering throughout deployment — hosting, scaling, and MLOps/LLMOps — without owning that infrastructure yourself, • Define AI governance and responsible-use guardrails: data privacy boundaries, LLM governance, and policy enforcement (OPA/Rego), • Instrument AI applications for observability (OpenTelemetry, Prometheus) so behaviour and cost stay visible in production, • Translate enterprise requirements into AI solution roadmaps for senior stakeholders, • Capture field learnings, codify reusable agentic patterns, and mentor engineers hands-on, • Provide architectural oversight across multi-disciplinary workstreams, staying close enough to unblock the team directly You don’t need to tick every box below to apply — this reflects the breadth of the role, not a strict checklist. • 8–10+ years in software or solution engineering, with a track record of shipping AI systems in client-facing engagements, • Strong Python engineering (FastAPI), with solid SDLC practices: design, testing, code review, CI/CD, Git & GitHub, • Hands-on experience with agentic AI frameworks (examples include LangGraph, CrewAI, AutoGen, Semantic Kernel, OpenAI’s Agents SDK, and Google’s Agent Development Kit) and MCP (Model Context Protocol), • Practical experience building RAG/LLM-based pipelines and working with vector databases, • Experience with relational and graph databases (e.g.Postgres, Neo4j) for data modelling behind AI applications, • Hands-on familiarity with modern AI coding copilots (e.g.Claude, Codex, Cursor), • Strong stakeholder communication, translating AI capability into business outcomes for senior stakeholders, • Familiarity with observability instrumentation for AI systems (OpenTelemetry, Prometheus), • Experience with AI/ML frameworks (TensorFlow, PyTorch) and the Hugging Face / open-source AI ecosystem, • Experience with image understanding and OCR, • Working knowledge of policy-as-code (OPA/Rego) for AI governance and guardrails, • Understanding of LLM governance: data privacy, guardrails, and responsible-use controls, • T-shaped profile: deep expertise in AI engineering, broad understanding across software engineering and technical consulting, • Willingness to travel and work on customer premises as required, • Degree in Computer Science, Data Science, Informatics, Engineering, Physics, Mathematics, or a related discipline — or equivalent professional experience The “Kyn” in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don’t meet every requirement, we encourage you to apply. We believe in growth, and we’re excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging — being a valued, respected, trusted member of the team — is fundamental to our culture and fueling great experiences for our customers. That’s The Kyndryl Way. Your career with us isn’t just a job—it’s an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health—because we know that when you feel your best, you do your best. From your very first day, you’ll dive into impactful work that powers the systems our customers rely on every day. You won’t just contribute—you’ll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth. We’re here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you’ll have everything you need to thrive and evolve. You’ll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities—from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you’ll be part of a culture that values empathy, restless learning, and a devotion to shared success. We want you to thrive here—and we’re committed to helping you do just that. Ready to make an impact? Join us and help shape what’s next. #J-18808-Ljbffr

SLSQ128R19 Do you want to help solve the world's toughest problems with big data and AI? This is what we do everyday at Databricks. We are looking for a Enterprise Account Executive to join the team in the UK to maximise the phenomenal market opportunity that exists for Databricks within the Manufacturing industry. Your mission will be to grow one of our most strategic Manufacturing customers. Reporting to the Director, Sales, as a Enterprise Account Executive at Databricks you will come with an informed and compelling point of view on the Big Data, Advanced Analytics and AI space which will guide your successful strategy and together with both our teams and partners, allow you to provide exceptional value to our customers. • You will co-develop a business plan, with your team and ecosystem partners, that accelerates customer success to exceed quarterly/annual usage and booking goals, • You will lead your team, customer and partners to identify impactful big data and AI use cases whilst proving out their value on the Databricks Data Intelligence Platform, • You will implement the big data and AI transformation goals of your customer through a combination of strategic partnerships, well-scoped professional services, training and targeted Executive Engagement, • You will develop an understanding of technical product details and roadmap to build trust with executives and business and technical champions, • Experience developing strong relationships with large Enterprises global accounts, managing virtual teams, and leading complex sales campaigns ideally in major manufacturing accounts, • You will have experience working in Big Data/ Cloud, • Proof of exceeding sales quotas in high-growth Enterprise software companies, • You will have experience driving usage and commit-based engagement models and strategies working with professional services and training teams, • You will have experience co-selling and scaling your business with Cloud Vendors (AWS, Azure and Google Cloud teams) and Global Solution Integrators (GSI), • You will have experience co-developing business cases and gaining support from C-level Executives, • You will have experience of value-based selling Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. #J-18808-Ljbffr

Sompo has a unique opportunity for a Sompo has a unique opportunity for a Technical Lead, Corporate Property Claims in our Claims team. The role is responsible for evaluating and processing claims estimates and paid claims accurately and in a timely manner, in accordance with policy terms and conditions, to ensure the required level of service is delivered and the company’s contractual obligations are met at all times. It also involves using analytics and insights to drive continuous improvement in the use of TPAs and third-party experts, while building effective tools, processes and governance to minimise regulatory, legal and operational risk and to ensure operational reporting is accurate and delivered within required timelines. In all aspects of the role, delivery and performance are expected to consistently reflect our Sompo Values. This position will be based out of our London office. We strive for collaboration which is why we offer a work environment where our employees thrive and develop long lasting careers. • Contributes to, monitors and advises on the plan developments and changes in order to ensure relevancy, compliance and optimal delivery, • Manages complex claims in collaboration with peers and colleagues in other offices in the processes and technicalities of the claims portfolio., • Deliver accurate and timely reporting to the claim’s management and leadership, as required., • Lead data analysis work to provide valuable insights that improve claims performance., • Be the key liaison person regarding designated claims portfolio with, but not limited to: Underwriters, Risk, Compliance, Finance and Actuarial., • Determines own work priorities and activities in line with agreed plans to ensure the achievement of the team and claims function objectives., • Timely and accurate performance and execution against the Control Framework, • Regulatory reporting meets the required expectations, • Clear alignment, and engagement to claims ambition and goals, • Senior claims leadership and management feedback, • Relevancy, accuracy and timeliness of contribution/advice, • Insights drive performance improvement, • Risk mitigation & avoidance, • Compliance with the Control Framework, • Support the regulatory and legislative response and adherence to standards and embed any required change or mitigation required within designated claims portfolio., • Support the implementation of the claims strategy to enable delivery of overall business targets and performance against KPI’s via the utilisation of data and intelligence, • Investigate and resolve technical and operational issues within designated claims portfolio and elevate as appropriate., • Provide expert technical support across claims function, as appropriate, • Develop and present recommendations to claims systems and processes to achieve first class service and experience to internal and external clients., • Timely and accurate performance and execution against the Control Framework, • High quality documentation/training material produced, with appropriate rationale, • Positive feedback from claims leadership and internal stakeholders, • Enhanced results from internal and external claims audit procedures and achieving benchmarks, enabled by the effectiveness of reporting, • Risk mitigation & avoidance, • Claims and regulatory standards met, • Sompo’s internal reporting standards met, • Strong results with regulators in response to standards and legislation that we must comply with and are measured by., • Compliance with the Control Framework, • Foster strong relationships with brokers, 3rd parties, and our customers via multi-channel engagement and focused forums., • Champion collaboration and engagement with internal stakeholders to enable the resolution of issues and the implementation of initiatives., • Wider market engagement, including any applicable committee membership, to promote the Sompo brand and claims reputation., • Support the design and delivery of service standards, customer insights, and outcomes, in relation to the management of the designated claims portfolio., • Develop and maintain stakeholder relationships across claims and other functions across Sompo, • Positive stakeholder and supplier feedback, • Open, pro-active and regular communication, • Achievement of objectives, • Positive feedback from clients, brokers, internal customers and management, • Risk mitigation and avoidance, • Creation of opportunities to share ideas, concepts and development work, that is holistic and performed in consideration of key claims and stakeholder requirement., • Produce regular statistical and analytical Claims information to Underwriters, Corporate Property Claims Manager and senior leadership to enable effective monitoring of Claims, • Develop/maintain sufficient knowledge of Claims portfolio, to enable provide excellent Claims handling service with minimal leakage as well as recommending and actioning improvements to improve quality, service delivery, and efficiency (via practices and processes), • Ensure accurate and timely update of the company’s systems as and when required, • Support the claims function in the production of KPIs and management information reports, • Act as a referral point to other members of the claims team on specific tasks or in the absence of the Corporate Property Claims Manager or Head of Property Claims., • Quality, accurate information made available to Underwriters and external and internal customers, • Satisfactory audit from internal claims audit, • Leakage within agreed tolerance, • Claims reserves entered and coverage issues managed in accordance with Company claims philosophy, • Appropriate use of experts, • Management of static/slow moving claims, • Management of complex and disputed claims matters, including in-depth claims analysis and trends to provide expert guidance and/or opinion to the Corporate Property Claims Manager and other internal stakeholders, as required., • Developing good, constructive working relationships with the claims leadership team, wider claims team, market peers and wider Sompo business units, • Engagement and delivery of claims projects, where required., • Lead continuous improvement initiatives via process and/or technology change – that will enhance quality of communication and collaboration across Sompo., • Provide mentoring and career development to colleagues to strengthen their capabilities, build functional expertise and foster a collaborative, values-driven team culture of high standards, strong productivity, and innovation., • Elevate claims talent to develop and share knowledge with the intention of enhancing both technical (e.g. data analysis and critical judgement) and non-technical (relationship management) skills., • Extensive and relevant knowledge of technical claims handling in a claims function, operating in a highly regulated environment., • Extensive experience of technical claims management supporting multiple lines of business / claims across geographies and industries with differing regulatory and legislative standards., • Strong understanding of delegated and third-party claims management from a technical, commercial, and operational perspective., • Able to navigate and assimilate complex technical data applications and sources strong investigative skills, • Negotiation skills, • Influencing skills, • Collaboration skills, • Attention to detail with a track record of delivering service excellence via detailed and technical processes, • Strong interpersonal and communication skills., • Good organisational skills., • Able to work independently, • Proficient in MS Office applications; Word, Excel and Powerpoint., • Able to manage conflicting priorities to achieve deadlines., • Ability to plan effectively and efficiently., • Ability to collaborate effectively within a team environment.t, • Deep experience and a proven track record of working in a Claims environment within a specialized/complex Claims area, • Recognised qualification(s) and/or good practical knowledge of the insurance regulatory framework, • Strong commercial experience of the general insurance industry and claims trends to be able to provide expert advice and opinion where required., • Independent challenger - ability to innovate and challenge, utilising consultative questioning, current norms to drive change within the claims function, and work with people of varying backgrounds and organisational levels, • Knowledgeable practitioner – deals confidently with uncertainty, leans into difficult conversations while lowering the pressure of resistance, • Strong problem-solving skills with the ability to think, influence and act strategically· Effective communicator – structures insights into clear messages and effectively engages others within claims function, as well as internal stakeholders, professional and regulatory bodies, • Change agent – leverages a skilful understanding of persuasion and influence, knowing which techniques to deploy while remaining a trusted advisor to Senior Management across the Business. At Sompo, we recognize that the talent, skills, and commitment of our employees drive our success. This is why we offer competitive, high-quality compensation and benefit programs to eligible employees. Our compensation program is built on a foundation that promotes a pay-for-performance culture, resulting in higher incentive awards, on average, when the Company does well and lower incentive awards when the Company underperforms. The total compensation opportunity for all regular, full-time employees is a combination of base salary and incentives that gets adjusted upfront based on overall Company performance with final awards based on individual performance. We continuously evaluate and update our benefit programs to ensure that our plans remain competitive and meet the needs of our employees and their dependents. Below is a summary of some of the benefits we offer, which may vary depending on the country: • Health & Wellness Benefits, • Retirement & Savings Plans, • Global Parental Leave & Adoption Assistance, • Employee Assistance Program, • Tuition Reimbursement & Professional Qualification benefits At Sompo, our shared purpose is to create meaningful value for clients, communities, and each other. We strive to foster a workplace where everyone feels respected, included, and empowered to excel. As a global organization, we embrace diversity and champion equal opportunity. Guided by our core values—Accountability, Agility, Collaboration, Development, and Integrity—we build trust and support one another to achieve our goals worldwide. Life at Sompo | Sompo Our values come to life in how we hire and grow talent. Employment decisions are based on qualifications, merit, and organizational need, and we strive to ensure equitable access to opportunities so everyone can do their best work. #J-18808-Ljbffr

AI is being run everywhere, by humans and agents. Harmonic Security governs all of it. The AI Governance and Control (AIGC) platform understands user/agent intent and data context in real time, giving security teams visibility and control across every tool and workflow so companies can move faster with AI while minimizing risk. We operate in one of the fastest‑moving spaces in tech: the emerging intersection of AI and cybersecurity. It’s a market still being defined, and we’re among the first to build natively for it—protecting sensitive data in real time, at the endpoint, with minimal friction for the teams using it. Enterprises get full visibility and control. Their people get to innovate without guardrails slowing them down. Named to the Rising in Cyber 2026 list, Harmonic is gaining serious recognition and traction. We’re led by deep cybersecurity expertise and backed by investors who know the space: N47, Ten Eleven Ventures, and In‑Q‑Tel. As AI adoption inside the enterprise accelerates, the ability to safely observe, control, and enforce policy in real time isn’t a nice‑to‑have. It’s mission‑critical infrastructure. That’s what we build. Harmonic exists to help enterprises adopt AI safely and at scale. We hold ourselves to that same standard. Everyone here actively leverages AI tools to perform their best work—from deep research and writing to building robust processes and automating complex workflows. We expect every new hire to bring a genuine curiosity for AI and a commitment to using it to work smarter, faster, and with greater creativity. For some, this involves tinkering and remaining open to emerging tools; for others, it means architecting entirely new systems with AI at the core. We will be transparent about expectations for every role and provide the tools and support needed for you to thrive. Our Product Delivery team is the engine that turns vision into impact. We ship early and often, getting valuable features into the hands of customers quickly and iterating from there. We work in the open by default, sharing progress and ideas, and we trust each other to own outcomes. We’re a small but mighty crew where every person plays a critical role and we’re committed to using AI to work smarter and faster. We’re looking for a Backend Engineer who has an appreciation for all things security and system interconnectivity. This is a very hands‑on technical role where you will be responsible for designing, building and maintaining scalable integrations between our core applications, identity providers and data security platforms. • Own deliveries and features from start to finish, • Design, build, and own backend services in a microservices‑based, event‑driven architecture, • Implement core domain logic that drives key product workflows and system behavior, • Ingest and process high‑volume usage and event data from customer‑facing endpoints, • Build backend services that support operational, analytics, and reporting use cases, • Model, persist, and manage domain data, enabling querying, filtering, and lifecycle management, • Expose well‑designed APIs and webhooks consumed by customers, UIs, and external systems, • Power customer‑facing UI experiences by providing backend APIs for visibility, analytics, and configuration, • 3–5+ years of professional software engineering experience building backend services and distributed systems in the Java ecosystem (Java, Spring Boot, Maven/Gradle), • Strong understanding of event‑driven architectures, asynchronous processing patterns, messaging systems, and distributed system design, • Proven experience designing and maintaining RESTful APIs, webhooks, and service‑to‑service integrations, • Comfortable operating in AWS, GCP, or Azure environments and working with modern observability tooling, logging, and monitoring platforms, • A track record of delivering performant, reliable and scalable applications, • Excellent collaboration and communication skills in cross‑functional teams, • Have experience building products in cybersecurity, identity, governance, compliance, data protection, or enterprise SaaS environments, • You understand not just how to build systems, but why architectural decisions matter, • You can balance scalability, reliability, maintainability, and speed of execution, • You think critically about security, observability, and operational excellence from day one, • Love the idea of blending software development, distributed systems and data‑intensive applications, • Strong familiarity with authentication and identity technologies such as OAuth, OpenID Connect (OIDC), SAML, SCIM, Entra ID (Azure AD), Okta, or other enterprise identity providers, • Thrive in fast‑paced startup environments where ambiguity is the norm, • Enjoy shaping culture and engineering practices, not just writing code, • Leverage AI tools as an engineer to help you build smarter, faster and better This isn’t just a job – it’s a chance to help define a category. Harmonic Security was named to the Rising in Cyber 2026 list, and we’re just getting started. We’re building at the intersection of AI and security, carving out an emerging market where the rules haven’t been written yet, and the people who join now will write them. We believe today’s talent is tomorrow’s success, and we’re committed to creating an environment where you can do the best work of your life. • Recognized momentum – We made the Rising in Cyber 2026 list, a signal that the market is taking notice, • Rare market opportunity – Join early in a category‑defining company at the convergence of AI and security, where your work directly shapes how enterprises tackle one of the biggest unsolved problems in tech, • Competitive pay and meaningful equity – A real stake in Harmonic’s success, not a token gesture, • Comprehensive benefits – 401K, pension plan, generous PTO, and flexible hybrid work, • A small, high‑trust team that values transparency, creativity, and continuous learning – no politics, no bureaucracy, • Thoughtful leadership – that cares deeply about your growth, not just your output, • Annual global off‑sites – past trips include Lisbon, Portugal and Nashville, TN, • Real ownership – you’ll shape the product, the culture, and the direction of the company from day one, • Flourish in the Unknown: We embrace new, unfamiliar situations that require initiative and rapid decision‑making. We orient ourselves quickly and deliver results with minimal guidance., • Never Full: We raise our hands, take on challenges, and assist others whenever possible. We hunger for opportunities to learn and do more., • Perfect Harmony: We support one another to create cohesion and unity. We collaborate openly, share feedback honestly, and help everyone produce their best work. Compensation Range: £89K – £105K #J-18808-Ljbffr

• We are seeking an experienced Data Scientist to help develop and deploy enterprise-scale AI and machine learning solutions that improve operational efficiency, service resilience and customer outcomes, • You will work closely with software engineers, SREs, product managers, platform teams and business stakeholders to identify opportunities, build predictive models, evaluate AI solutions and take products from concept through to production, • Design, build and deploy machine learning models to solve operational and business challenges, • Develop predictive analytics capabilities focused on incident prevention, service health, operational risk and customer experience, • Support the development of Generative AI applications leveraging LLMs, retrieval systems and agentic workflows, • Evaluate emerging AI technologies and recommend practical applications across the organisation, • Perform advanced statistical analysis and modelling across large-scale operational and engineering datasets, • Develop feature engineering, experimentation and model evaluation frameworks, • Create insights and recommendations that drive decision making for senior stakeholders, • Build and maintain reproducible data science workflows and pipelines, • Partner with engineering and product teams to transition solutions from proof-of-concept into production, • Define success metrics and measurement frameworks for AI products, • Support model monitoring, governance and continuous improvement activities, • Contribute to AI product roadmaps and prioritisation discussions, • Work with subject matter experts from Engineering, Operations, Service Management and Product organisations, • Communicate technical concepts clearly to both technical and non-technical audiences, • Contribute to the growth of LSEG’s AI and Data Science community through knowledge sharing and mentoring, • Promote responsible AI, model governance and data-driven decision making The ideal candidate combines strong technical expertise with commercial awareness and the ability to translate complex data into actionable insights and measurable business valueExperience working with structured and unstructured data at scaleDemonstrable experience delivering machine learning or AI solutions within a large-scale enterprise environmentProven ability to translate business problems into measurable analytical outcomesStrong experience applying statistical modelling, predictive analytics and experimentation techniquesExperience taking models from development into production environmentsSQL and large-scale data analysisData visualisation and storytelling toolsPython and associated data science ecosystem (Pandas, NumPy, Scikit-learn)Machine learning techniques including classification, regression, clustering and anomaly detectionCloud-based data science platforms and MLOps practicesExperience with Generative AI, LLMs, RAG architectures or agent-based AI solutionsOwnership and accountability for deliveryStrong problem-solving capability and analytical thinkingCustomer-focused mindset with a focus on outcomesClear communication and stakeholder management skillsCommitment to continuous learning and innovationCuriosity and a passion for applying AI to real-world challengesAbility to work effectively across organisational boundariesExperience within financial services, regulated environments or market infrastructureFamiliarity with Azure AI services and Microsoft AI ecosystemExperience developing AI-powered automation solutionsKnowledge of Responsible AI and model governance frameworksExperience with observability, SRE or operational analytics use cases #J-18808-Ljbffr

Customer ArchitectReltio · LondonAbroad London✓ Link validatedAt Reltio, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltio’s cloud-native SaaS platform harmonizes, unifies, and governs data across sources and formats—including unstructured data—in real time, turning them into data assets that can be mobilized in milliseconds to any application, user, or AI agent. Trusted by more than 200 of the world’s largest brands across industries such as life sciences, financial services, healthcare, and technology, we fuel frictionless operations and help enterprises accelerate innovation and reduce risk. At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk! Job Summary: The Customer Architect has a passion for fostering strong customer relationships and maximizing customer experience. This dynamic role combines industry expertise with technical knowledge to ensure customers achieve maximum value from our solutions. As a Customer Architect, you will focus on Strategic Technical Alignment, Operational Excellence and Expedited Issue Resolution and customer advocacy. If you thrive on problem-solving, building strategic partnerships, and driving operational excellence, we want to hear from you! Job Duties and Responsibilities: Serve as the technical expert on Reltio platform capabilities for customers as they develop solutions aligning with the customer’s business needs. Present technical knowledge of architectural designs including integration approaches. Deliver workshops and advisory services to enhance customer technical understanding, promoting optimal product usage and alignment with Reltio’s best practices. Hands-on experience working technically with customer engineering (Support), Advanced customer engineering, and cross-functional teams. Manage customer portfolio of tickets, resolutions, and product enhancement requests. Own dedicated escalation paths with customers, coordinating resources and driving timely resolution of tickets to exceed customer expectations. Act as a single point of contact for customer engineering issues. Stay at the forefront of industry trends and challenges and offer Reltio’s customers informed and proactive guidance. Ensure a seamless onboarding experience, setting the foundation for long-term customer satisfaction. Participate in customer engagement initiatives, including executive business reviews and CSAT/NPS surveys to cultivate strong partnerships. Advocate for customer needs, translating them into documentation and product enhancement requests. Deliver the highest quality customer/partner experience and engage in highly technical discussions. Ability to travel to customer sites upon request. Other duties and responsibilities as assigned. Skills You Must Have: Bachelor’s degree in computer science engineering or similar field of study. 5+ years of experience working in a technical support capacity. 5+ years of experience supporting enterprise products in a SaaS in a customer-facing role. 3+ years of experience with Public Clouds AWS/GCP/Azure and their services. 3+ years of experience with REST APIs and integration tools. 3+ years of experience with on-premise or cloud MDM solutions. Experience in observability and monitoring tools such as LogDNA, CloudWatch, etc. Experience interfacing directly with Product Management, and engineering teams to escalate and seek resolution on product issues as well as provide customer requirements for future product releases. Excellent reporting/analytical skills - experienced in developing dashboards with reporting technologies and influencing customers/partners by sharing action-oriented insights. Experience supporting both Enterprise-focused applications, preferably #J-18808-Ljbffr

Gravitee is a 2025 Gartner® Magic Quadrant™ Leader, on a mission to govern the world’s intelligence. We deliver the industry’s most advanced platform for Any API, Any Event, and Any AI Agent, trusted by global leaders like Michelin, Roche, and Blue Yonder. • The Mission: We are bridging the gap between traditional tech and the new frontier of AI Security., • The Momentum: We combine the credibility of a market leader with the high-octane speed of a startup., • The DNA: We hire "Hold Nothing Back" individuals - passionate professionals who want to redefine how the world interacts with technology. AI is rewriting the rules of business, and Gravitee is at the center of that transformation. As our Account Manager EMESA North you won’t just be supporting a product; you’ll be shaping how the world perceives and adopts the next generation of AI-driven digital experiences. At Gravitee, impact isn’t abstract - it’s visible and global. In this role, you will: • Own and grow relationships with a portfolio of key existing customers across the EMEA North., • Manage overall renewal process, • Act as a strategic advisor and primary point of contact, advocating for your customers internally., • Collaborate with customers on their broader digital strategy, aligning Gravitee to long-term business goals., • Lead regular customer reviews, roadmap alignment sessions, and value realisation discussions., • Ensure high levels of customer satisfaction, retention, and expansion by identifying areas for growth and engagement., • Work cross-functionally with Product, Engineering, and Support to resolve issues and deliver strategic outcomes., • Maintain a deep understanding of Gravitee’s platform and how it solves complex, real-world challenges., • Identify and mitigate risks to customer adoption, satisfaction, or renewal. Your impact will be visible, measurable, and global. • 3+ years of experience in a Strategic Account Management role., • Proven track record of managing enterprise relationships with a strategic lens., • Strong understanding of API management, developer ecosystems, or related technologies (not mandatory but a plus)., • Excellent communication and interpersonal skills, able to influence stakeholders at all levels., • Comfortable navigating technical conversations, while maintaining a business-value focus., • Strong analytical mindset: able to interpret complex data and make fast, informed decisions., • Highly organised, proactive, and driven by outcomes Our growth is powered by people who bring passion to their craft, professionalism to their execution, and a commitment to excellence. You’ll thrive here if you: • Care deeply about high-quality output and brand clarity., • Are curious, adaptable, and energised by the fast-moving AI landscape., • Take full ownership of your projects from concept to completion., • Value a culture of openness, collaboration, and constant evolution. Experience in SaaS, AI-enabled systems, or open-source communities is a plus, but a "growth mindset" and curiosity matter most At Gravitee, we invest in humans, not just roles. • Competitive medical coverage, • Pension / 401k program options, • Stock options - you build it, you own it, • 25 days holiday + in-country national holidays, • 3 mental health days + wellness allowance, • Your birthday off, • Professional development budget to fuel your growth, • Hybrid work culture with hubs across regions, • Quarterly team events + annual offsite at an exciting location, • A meaningful, progressive, global company culture that is as fun as it is hardworking, • Endless growth opportunities At Gravitee, we believe diverse perspectives make better products and stronger teams. At Gravitee, no employee or applicant will be treated less favorably on the grounds of sex, marital status, race, color, nationality or ethnic or national origin, disability, gender, sexual orientation, gender identity, age, pregnancy or maternity, marital or civil partner status, or religion or belief. By clicking submit below, you consent to allow Gravitee to store and process the personal information submitted above. #J-18808-Ljbffr

Join to apply for the Product Engineer role at Conduct. Be among the first 25 applicants. Conduct is reinventing how enterprises run their legacy software, solving a multi-billion-dollar problem at the core of global business and manufacturing. While the world’s largest enterprises still rely on decades-old systems, we bring them back to the technological frontier. Our AI platform transforms weeks of manual system analysis into instant insights, turning customization chaos into clarity. We help industry leaders such as Daimler Truck ($40bn+ revenue) and Rittal ($3bn+ revenue) cut millions in IT costs, accelerate ERP project timelines by months, and unlock revenue faster with smarter systems. We’re beginning with SAP, but that’s only the start. At Conduct, we are pioneering a new era of Enterprise System Intelligence and are on a mission to transform the entire enterprise stack. We’re looking for AI-native product engineers: excellent software engineers with exceptional instincts for working with LLMs. You know how to prototype fast, tune prompts effectively, and build production-quality end-to-end features that matter. You’re not just interested in AI. You know how to ship with it and you bring the engineering skill to do it right. At Conduct, we’re building tools to tackle one of the biggest and most underserved problems in IT: helping the world’s largest companies understand, maintain, and modernize the tens of millions of lines of custom code running on legacy ERP systems. The scale is enormous, and the opportunity even more so. You’ll work across the full stack – shipping frontend UI, integrating LLMs and generative AI tooling, building backend logic – and operate in fast cycles with massive scope alongside a team that cares deeply about winning. If you’re a great engineer with product obsession, LLM intuition, and the hunger to build something enduring, we’d love to talk. • Inbound customer demand: We are seeing strong demand for new features. You will expand our ability to meet that demand with speed., • Translating signal into product: You’ll be working closely with real users, turning raw feedback and behavioral insights into product experiences that truly land. Your work will shape the interface between LLMs and enterprise users at scale., • Make LLMs feel magical: Many upcoming features rely on non-trivial LLM behaviour through complex agent pipelines. Your job is to make these complex workflows feel simple and seamless., • Iterate in the unknown: Getting to great outcomes will take fast prototyping, instinct, and a lot of trial and error. There are no perfect solutions: just creative, persistent execution., • Own the experience: You’ll ship full-stack features including UX, backend, and prompt logic. You’ll have a direct impact on how our most important customers experience the product. We welcome candidates across all experience levels. What matters most is mindset: perseverance, curiosity, and a track record of shipping things that matter. • Be an excellent software engineer, or on a clear trajectory to become one, through demonstrated work and learning velocity., • Be deeply excited and motivated about shipping product to users., • Have strong product instincts and creative drive., • Have a sharp intuition for working with LLMs, knowing how to prompt, tune, and integrate them into compelling user experiences and with evidence of this through work, side projects, or hackathons., • Use AI tools as a natural part of daily development, understanding how to use them most effectively and when they should be avoided., • Operate comfortably across the stack building UI, backend logic, and prompt workflows as needed., • Learn fast, prototype even faster, and use customer feedback to guide iteration., • Be high-agency, resourceful, and outcome-driven; thriving in ambiguity and getting things done without waiting for permission., • Be happy working in person with the team in our Fitzrovia, London office by default to build an exceptional company together. We’re an engineering team that values strong fundamentals and fast iteration over experience with specific tools. That said, here’s a snapshot of the technologies most relevant to product engineers today: • Languages & Stack: Primarily TypeScript, with parts of the backend in Kotlin. Product engineers work full-stack: frontend, backend services, and LLM integrations., • LLM Integration: We support both real-time and async LLM workflows across retrieval, search, and generation over large codebases., • Tooling & DevX: Development is containerized and local-first, with CI/CD via GitHub Actions. Prompt iteration and observability tools support rapid experimentation and feedback loops., • Deployment & Infra: While product engineers aren’t expected to own infra, familiarity with Git-based deploys and Terraform-managed environments is helpful. We’re a high-energy, high-trust team with big ambitions. Our culture blends focus, intensity, and humour: we’re serious about impact, but never take ourselves too seriously. We’re here to build a generational company, and we know that means pushing past limits while enjoying the ride together. In our Fitzrovia office, collaboration is fast and constant. Everyone owns their outcomes and takes initiative, but we succeed only as a team. We believe in learning fast, supporting each other radically, and finding joy in the process. • 💰 Generous cash compensation., • 🏦 Share options under the tax-efficient EMI scheme., • 🍔 Breakfast and dinner every day in the office., • 🍫 A truly unparalleled snack selection., • 😎 Biannual full-team offsites., • 🎉 Regular socials., • 🚑 Broad private health insurance including dental and optical cover., • 🤸♀️ Monthly wellbeing payment on top of your salary to spend as you see fit., • ✈️ Take-what-you-need leave policy., • 🧓 Pension salary sacrifice reinvestment scheme. We welcome applications from candidates who require visa sponsorship. At Conduct, we know that diversity isn’t optional — it’s one of our greatest strengths. Teams that bring together different backgrounds, perspectives, and experiences are more creative, resilient, and effective. We’re committed to creating an environment where everyone feels welcome, supported, and able to do their best work. We encourage applications from people of all identities and communities, including those underrepresented in technology and engineering, because the best ideas come from teams that reflect the world around them. #J-18808-Ljbffr

SMBC: A trusted partner for the long term Here at SMBC Group, we want to help you find the next step in your career so read on to discover if this opportunity is the one for you. We like to recognise potential in our people, so we welcome your application even when your experience doesn't perfectly align with the job description. Whilst we'll always strive to be better, we're proud of our inclusive culture, and encourage our applicants and colleagues to be their authentic, unique selves. United by a sense of purpose towards our customers - to be a trusted partner for the long-term - and our universal banking platform in EMEA, SMBC Group has an international growth agenda and award-winning products, meaning we provide exciting opportunities to work on a diverse range of projects and initiatives. We deliver a full suite of corporate finance products and solutions to our customers as well as investment banking and advisory services, and a range of innovative solutions in global capital markets. Read on to find out how you could enhance your skills and gain valuable experience, by joining us to support our clients transition to a sustainable future. This is an exciting opportunity to join the expanding AI & Innovation team within Architecture & Engineering function at a key stage in SMBC EMEA's AI journey. The team plays a central role in shaping and delivering AI strategy, governance, product discovery, adoption and enterprise AI solutions across the region. We are seeking a hands-on AI Solutions Architect to take end-to-end ownership of AI solution design, from initial use case intake through to architecture, governance approval and delivery. The role is focused on turning high-value business use cases into secure, scalable and production-ready solutions aligned to SMBC's enterprise technology stack. The successful candidate will work closely with business stakeholders, technology teams, and control functions to design and drive solutions through Solution Design Authority (SDA) and AI governance processes, ensuring alignment with security, data privacy, and regulatory requirements. This is a highly practical role, combining solution architecture with hands-on engagement in prototyping, validation and delivery. It requires a strong technical foundation across enterprise architecture (including cloud, integration, and security), as well as the ability to operate effectively across a complex stakeholder landscape. The role will suit someone who is proactive, delivery-focused and technically credible, with the ability to take ownership, drive outcomes end-to-end, and work collaboratively across teams to bring solutions into production. The anticipated salary range for this role is £92,000-£138,000, with the final offer determined based on the candidate's skills, experience, role scope, location, and relevant market factors. In addition to base salary, the role may be eligible for a discretionary incentive award and a competitive benefits package, including core benefits such as pension provision. • Take ownership of AI solutions from initial use case intake through to production deployment, ensuring designs are practical, scalable and aligned to business objectives., • Translate business requirements into end-to-end solution architectures aligned to SMBC's current and evolving technology stack., • Design and implement AI solutions across enterprise platforms, including Microsoft 365 Copilot, Copilot Studio, Power Platform, Azure AI services, Google GCP and other approved technologies, • Define solution options, trade-offs and implementation approaches, ensuring designs are fit for purpose and deliverable in practice. Lead solution design through Solution Design Authority (SDA) and other internal architecture forums, driving outcomes and securing approvals., • Prepare and own architecture artefacts, including design documents, technical specifications, integration patterns and governance submissions., • Support and drive AI governance processes, including risk assessments, control alignment and production readiness activities., • Ensure all solutions align with AI Policy, AI Standard, security, data privacy and regulatory requirements, • Work closely with engineering and delivery teams to ensure solution designs are effectively implemented and meet intended outcomes., • Provide hands-on support in prototyping, validation and troubleshooting where required., • Act as the technical point of accountability for solution design decisions throughout the delivery lifecycle., • Design solutions with full consideration of enterprise architecture, including integration, data flows, identity, access controls, security boundaries, infrastructure and operational resilience., • Collaborate with business, technology, architecture, security, data privacy and risk teams to drive solutions forward and resolve design challenges., • Engage stakeholders confidently, clearly communicating solution approaches, constraints and trade-offs., • Work with strategic partners, vendors approved suppliers to shape and validate solution designs., • Develop reusable architecture patterns, templates and technical guidance for common AI use cases., • Contribute to the continuous improvement of AI solution standards, design practices and governance processes., • Support business adoption through practical examples, demonstrations and hands-on guidance, • Operate as a proactive, hands-on team player, taking ownership of outcomes and driving progress across multiple initiatives, • Strong understanding of AI and generative AI solution architectures, including large language models (LLMs), agent-based patterns, workflow orchestration and enterprise AI integration, • Practical experience applying techniques such as retrieval-augmented generation (RAG), knowledge grounding, prompt engineering and human-in-the-loop design patterns, • Experience designing secure and controlled AI solutions, including guardrails, responsible AI, explainability and governance considerations, • Proven experience designing and delivering complex technology solutions in a regulated enterprise environment, with ownership from initial requirements through to production deployment, • Strong hands-on experience in solution architecture, with the ability to translate business requirements into end-to-end, implementable designs, • Experience working with enterprise AI platforms (e.g. Microsoft 365 Copilot, Copilot Studio, Azure AI, Power Platform or comparable ecosystems), with the ability to design solutions across multiple technologies, • Ability to lead solution design through formal architecture governance processes (e.g. Solution Design Authority), including preparation of high-quality design artefacts and technical documentation, • Experience working with AI governance, risk and control functions, ensuring solutions meet requirements for security, data privacy, auditability and regulatory compliance, • Strong technical foundation across enterprise architecture, including cloud platforms, infrastructure, networking, identity and access management, security controls and integration patterns, • Experience designing solutions that consider end-to-end system architecture, including data flows, APIs, connectivity, security boundaries and operational resilience, • Hands-on experience supporting prototyping, validation and early-stage delivery, with the ability to troubleshoot and refine solutions in collaboration with engineering teams, • Experience working across the full delivery lifecycle, including requirements shaping, solution design, testing, deployment and transition to BAU support, • Experience working with early-stage or ambiguous problem definitions, shaping use cases into structured, deliverable solutions, • Strong stakeholder engagement skills, with the ability to work effectively across business, technology, risk and control functions, and to clearly communicate technical concepts and trade-offs, • Experience working with external vendors and partners, with the ability to challenge, shape and validate solution designs, • Proactive and self-driven, with a strong sense of ownership and the ability to operate effectively in a fast-moving environment, • Comfortable working as part of a small, high-impact team where the role requires both architectural leadership and hands-on technical contribution, • Experience building reusable architecture patterns, technical standards, design templates or developer guidance, • Experience supporting AI adoption and enablement initiatives, including demonstrations, workshops, training sessions or champion networks, • Experience with emerging Microsoft AI ecosystem components (e.g. Microsoft Foundry, Fabric or similar platforms) or equivalent cloud AI ecosystems, • Understanding of model lifecycle considerations, including evaluation, monitoring, guardrails and responsible AI controls Exposure to advanced AI techniques such as fine-tuning approaches, prompt optimisation and model selection (where appropriate for enterprise use cases) • Experience delivering AI solutions within financial services or another highly regulated industry, • Familiarity with AI governance frameworks, model risk considerations, data privacy, and regulatory requirements (e.g. EU AI Act, GDPR, DORA), • Experience with Azure AI services, Azure OpenAI or comparable enterprise GenAI platforms, including practical implementation of patterns such as retrieval-augmented generation, grounding and prompt orchestration, • Experience with enterprise data and knowledge architectures, including semantic search, vector databases, embeddings and enterprise search solutions, • Exposure to Microsoft Graph, SharePoint-based knowledge sources and integration with enterprise collaboration platforms (e.g. Teams, Outlook), • Experience with emerging Microsoft AI ecosystem components (e.g. Microsoft Foundry, Fabric or similar platforms) or equivalent cloud AI ecosystems, • Understanding of model lifecycle considerations, including evaluation, monitoring, guardrails and responsible AI controls Exposure to advanced AI techniques such as fine-tuning approaches, prompt optimisation and model selection (where appropriate for enterprise use cases) • Experience building reusable architecture patterns, technical standards, design templates or developer guidance, • Experience supporting AI adoption and enablement initiatives, including demonstrations, workshops, training sessions or champion networks, • Degree-level education in Information Technology, Computer Science, Engineering, Data Science, Mathematics, Business Information Systems or a related field, or equivalent professional experience., • Relevant professional certifications in Microsoft Azure, Microsoft Power Platform, Microsoft 365, AI, cloud architecture, data engineering, security, Agile/Scrum or ITIL are advantageous but not essential., • Customer Focus, • Driving Change, • Driving Results, • Embraces Diversity, • Enterprise Leadership, • Judgement and Decision Making, • Risk Management, • Strategic and Visionary, • Trust and Integrity For all the expertise and experience you bring to help us make a difference, it's only sustainable if we support you to build your career and be your best self so we offer competitive company benefits, centred around promoting positive well-bring and work-life balance. We also believe in fostering a diverse and inclusive work environment, where all team members perspectives and contributions are valued. Initiatives in place which promote a diverse and inclusive culture and healthy work life balance include hybrid working, Sport & Social Clubs and Diversity and Inclusion networks. As an employee of SMBC you have access to a host of both useful and exciting benefit offerings. See below some of the benefits on offer to you: • Hybrid and flexible working, • Competitive paid leave days, • Benefits to support your physical wellbeing, including private medical insurance and life and invalidity insurance, • Various policies to support your mental wellbeing, including a robust behavioural health network with counselling and coaching services, • Access a wide range of learning and development opportunities and career progression opportunities, • Ambitious remuneration package We recognise our role as a bank to support social change and welcome all applications, including those from groups often under-represented in financial services. We value the uniqueness of professional and personal, backgrounds and perspectives as they play a vital role in continuing the sustainable growth of our organisation. We'll ensure reasonable adjustments to our recruitment process are offered due to a disability or long-term condition whenever requested. We are committed to transparent and equitable pay practices. Compensation is determined using objective criteria, including skills, experience, and role responsibilities, and applied consistently throughout our recruitment processes. We do not request candidates' pay history and are committed to preventing unjustified pay disparities. A trusted partner for the long term United by a sense of purpose towards our customers - to be a trusted partner for the long-term - and our universal banking platform in EMEA, we deliver a full suite of corporate finance products and solutions to our customers, including corporate, structured and trade finance, leveraged finance, loan market and treasury products. We can also provide investment banking and advisory services and a range of innovative solutions in global capital markets. Find out more about what we do and who we are at emea/careers Find out more #J-18808-Ljbffr

About Kernel Agents are starting to sell, buy and operate on behalf of companies. But before an agent can close a deal, qualify an account, route a lead or assess risk, it has to answer a basic question: which company is this? Today, that answer is messy, and no one answers it reliably. Business identity lives across CRMs, ERPs and third-party datasets full of duplicates, missing parent companies, stale addresses and incorrect enrichment. The cost shows up across the enterprise: sales teams miss revenue opportunities because they lack the right account context; operations teams take on avoidable exposure because risk signals are fragmented or wrong; and finance teams end up chasing, writing off, or defaulting on bad debt that should have been caught earlier. Humans have worked around that mess for years. Agents cannot. They need a reliable business identity layer they can trust. Kernel is building that layer: the business registry for agents. We issue a permanent KERN ID for every business, plus the context an agent needs to act on it. Ops, data and revenue teams at Gong, Legora, Mistral, Canva and Checkout already use Kernel on their own systems. Agents are next, and there will be far more of them. We have raised $14M from top VCs and operators at Plaid, OpenAI, Slack and others, and we are growing 5x YoY. Your Role As an Implementation Lead, you're the bridge between customer needs and technical execution in enterprise deals. You translate complex requirements into practical, high-impact solutions, ensuring every proof of concept is accurate, scalable and positioned for success. Working closely with Account Executives, Product and Engineering, you'll navigate technical questions, troubleshoot complex challenges and shape solutions that drive value for our clients. With new features shipping constantly at Kernel, you'll stay ahead of client requirements and the latest market innovation. What You’ll Be Doing: Partnering with Account Executives in late-stage cycles as the technical expert Running and delivering high quality POCs in a timely manner Leading and owning the full implementation cycle from kick-off to go-live Architecting, building, and deploying bespoke AI agents using Kernel’s tooling Acting as a trusted advisor for your portfolio comprised of multiple clients Provide feedback to the Product team to ensure constant improvement and iteration What You Bring: 3–7 years of experience in a client-facing analytical or technical role, such as Solutions Engineering, Implementations, Technical Account Management or Consulting Technical fluency (APIs, Javascript etc) and understanding of data systems A product sensibility to how you work - you ask why before you ask when, and you push back on scope that doesn't serve the customer Advanced analytical and problem-solving skills, with close attention to detail Comfortable navigating ambiguity and solving technical challenges creatively Experience working in fast-paced, startup environments Ability to manage multiple clients and projects at once Strong communication skills and the ability to build trusted customer relationships Flexibility to occasionally work later hours to support US-based customers Nice to have, but not required: Experience working with AI products or use cases Familiarity with RevOps workflows and systems, including CRMs and related tooling This role may not be for you if you: Prefer a lot of structure or close guidance Prefer routine over variety Are looking for a purely internal, non-customer-facing role This role is definitely not for you if you: Prefer fully remote work (this role requires 4+ days per week in the London office) Don’t enjoy intense, fast paced workspace or ambiguity Want to manage rather than build and deliver What We Offer We will do our best to offer you a ride of a lifetime. It will not be easy, but it will be thrilling. Salary: £80,000 – £120,000 OTE + equity 24 days holiday per year + bank holidays £450 Monthly Office Dinner Allowance 2 weeks work-from-anywhere Generous parental leave policy Pension plan Top-spec equipment and central London office Team events and dinners Work directly with the founders to scale the systems that power enterprise AI High-autonomy, high-trust environment with a small team shipping at pace Stage 1 – Video call with the Talent Lead. Stage 2 – Video call with the Hiring Manager. Stage 3 – Case study interview (in person) with the team. Stage 4 – Values interview with the Founders If there is mutual fit, we move to references and offer. #J-18808-Ljbffr

Agents are starting to sell, buy and operate on behalf of companies. But before an agent can close a deal, qualify an account, route a lead or assess risk, it has to answer a basic question: which company is this? Today, that answer is messy, and no one answers it reliably. Business identity lives across CRMs, ERPs and third-party datasets full of duplicates, missing parent companies, stale addresses and incorrect enrichment. The cost shows up across the enterprise: sales teams miss revenue opportunities because they lack the right account context; operations teams take on avoidable exposure because risk signals are fragmented or wrong; and finance teams end up chasing and writing off bad debt that should have been caught earlier. Humans have worked around that mess for years. Agents cannot. They need a reliable business identity layer they can trust. Kernel is building that layer: the business registry for agents. We issue a permanent KERN ID for every business, plus the context an agent needs to act on it. Ops, data and revenue teams at Gong, Legora, Mistral, Canva and Checkout already use Kernel on their own systems. Agents are next, and there will be far more of them. We have raised $14M from top VCs and operators at Plaid, OpenAI, Slack and others, and we are growing 5x YoY. We’re looking for an AI Ops Engineer for our product team to build the internal systems that help Kernel scale without adding unnecessary manual work. You’ll work across Product, Customer Support, and Engineering - finding the highest-leverage problems and building practical AI-powered workflows. This is a hands‑on builder role. You’ll take ideas from a vague business problem to a tool or workflow that people use, then maintain and improve it in production. You’ll choose the fastest sensible approach for each problem - coding agents, automation platforms, APIs, data pipelines or lightweight code. Your focus area will be whatever is the most critical blocker for Kernel’s growth, whether that’s automating our customer support, tying our data feedback loop to automatically seed our evals (benchmarks), building tooling for our sales team to demonstrate Kernel, and so on. You’ll report to Marcus Henglein, our co‑founder who leads our Product, Engineering, and Client Delivery teams. Automating customer support: The first focus area is to lead our initiative on automating as much of our technical customer support as possible, leveraging Kernel’s docs and MCPs, the right kind of AI tooling, and working closely with the engineering team. Turning user feedback into evals: Build workflows that turn data issues reported by users into test cases, helping Kernel catch recurring errors and measure improvements. Keeping docs current: Build workflows that detect product changes and keep our documentation accurate. Making Kernel easier to demo: Build tools that help our sales team prepare and run demos using relevant account data. Priorities shift, problems often start loosely scoped, and you’ll own the work through maintenance. A track record of shipping: you’ve built tools, automations or AI workflows that people use every day, ideally inside a small, fast‑moving startup. Around 2–5 years of experience is typical, but what you’ve built matters more than your years. Ex‑founders welcome Curious about product: you’re keen to learn how a product/engineering organization works in a fast‑paced startup environment AI‑tool obsessed: you are constantly testing new models, agents, MCPs and workflows, and you have the judgement to turn them into reliable systems that people actually adopt - but without turning off the “Local LLM” that you were born with (your brain) Strong data instincts: you can turn fragmented, messy information into reliable workflows and create feedback loops that keep it trustworthy Can’t unsee inefficiency: you see the company as a connected system; when you find a broken or unnecessarily manual process, your instinct is to understand it, build the fix and make sure it sticks Artisanal programming experience is not required for this role, and you don’t need a traditional software engineering background. Prefer deep specialization over breadth: this role means switching between projects and teams, depending on business needs Prefer steady‑state work over project‑based sprints: priorities will shift as the business evolves Only want “strategic” work: you will personally build the tools, clean the data and fix the workflows Need every task to be clearly scoped before starting: ambiguity and learning on the fly are constant Avoid operational grunt work or lose interest after the prototype Want to work in a more structured 9‑to‑6 environment or in a remote/hybrid setup: we are in the office together 4‑5 days a week and the pace is high We will do our best to offer you a ride of a lifetime. It will not be easy, but it will be thrilling. Salary: £60,000–£85,000 + equity 24 days holiday per year + bank holidays £450 monthly office dinner allowance 2 weeks work‑from‑anywhere Generous parental leave policy Pension plan Top‑spec equipment and central London office Team events and dinners Work directly with the founders to deploy AI across a fast‑growing company High‑autonomy, high‑trust environment with a small team shipping at pace Stage 1 – Video call with the Hiring Manager. Stage 2 – Case study interview (in person) with the team. Stage 3 – Values interview with the Founders. If there is mutual fit, we move to references and offer. #J-18808-Ljbffr

Trending • Job Identification 19236, • Posting Date 09/14/2026, 03:00 PM, • Job Role AI Engineer-AI Solutions Architect, • Experience (In Years) 9-12, • Job Location London, United Kingdom EXL (NASDAQ: EXLS)is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 60,000 employees spanning six continents. For more information, visit www.exlservice.com . Role Title: Data & AI Solution Architect – Generative AI Products & Delivery Location: Halifax, United Kingdom (Hybrid working 2 days a week in the office) Employment Type: Permanent We are seeking an experienced and hands-on Generative AI Solution Architect to lead the design and delivery of enterprise-scale AI solutions within the banking and financial services sector. The ideal candidate will have a proven track record of architecting and deploying production-grade GenAI solutions for complex client environments. You will combine deep technical expertise in LLMs, Agentic AI, and enterprise architecture with the ability to engage senior stakeholders and translate business challenges into scalable, secure, and compliant AI solutions. This role is ideally suited to professionals from leading technology consulting firms, global systems integrators, AI product companies, or specialist AI consultancies who have spent the last several years delivering GenAI initiatives from concept through to production deployment. Lead the end-to-end architecture, solution design, and delivery of Generative AI and Agentic AI solutions for banking clients. Translate business requirements and regulatory considerations into scalable, production-ready AI architectures. Design and implement advanced GenAI solutions, including: Retrieval-Augmented Generation (RAG) Multi-Agent Systems Knowledge Management Platforms Enterprise Workflow Automation Define architecture patterns, governance standards, security controls, and best practices for enterprise AI adoption. Apply GenAI capabilities to areas such as data transformation, metadata management, customer service, risk, compliance, operations, and process automation. Collaborate with engineering, data, cloud, and business teams to ensure successful delivery and adoption. Drive solution assurance across the full software development lifecycle, including architecture reviews, testing, deployment, monitoring, and optimisation. Facilitate client workshops and present technical solutions to both executive and technical stakeholders. 7+ years of experience in technology, architecture, or engineering roles. Minimum 3 years of hands-on experience delivering Generative AI solutions in production environments. Demonstrable experience successfully designing and launching multiple enterprise GenAI implementations beyond proof-of-concept stage. Strong expertise in LLM ecosystems including OpenAI, Anthropic, Gemini, and related model platforms. Hands-on experience with RAG architectures, Agentic AI frameworks, and orchestration tools such as LangChain, LangGraph, AutoGen, and CrewAI. Proven experience applying Agile delivery, DevOps, MLOps, and LLMOps practices to enterprise AI programmes. Strong cloud architecture experience across Azure, AWS, or GCP. Experience in model deployment, monitoring, observability, governance, versioning, and operational support. Excellent stakeholder management skills with proven experience engaging clients and senior business leaders. Strong understanding of enterprise security, risk management, and responsible AI principles. Banking, Financial Services, or other highly regulated industry experience. Experience delivering AI solutions in areas such as risk, compliance, fraud, customer operations, lending, or regulatory reporting. Data architecture, data modernisation, data platforms, or lakehouse expertise. Experience supporting large-scale cloud migration or transformation programmes. Knowledge of AI governance, model risk management, and regulatory requirements within financial services. Exposure to modern AI-native platforms and frameworks including Azure AI Foundry, Vertex AI, Bedrock, Databricks, or Palantir. Strong consulting and problem-solving mindset. Ability to balance strategic architecture with hands-on technical delivery. Excellent communication and presentation skills. Commercially aware and client-focused. Comfortable working in fast-paced, evolving technology environments. Passionate about innovation and the practical application of Generative AI within enterprise organisations. A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension. EXL provides everyday financial well-being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories. At EXL, we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity to enhance their skills and stay up to date with the latest trends and technologies. As an Equal Opportunity Employer, EXL is committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status. EXL employees are eligible to purchase stock as part of our Employee Stock Purchase Plan (ESPP). At EXL, we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration. To be considered for this role, you must already be eligible to work in the United Kingdom. #J-18808-Ljbffr

About Kernel Agents are starting to sell, buy and operate on behalf of companies. But before an agent can close a deal, qualify an account, route a lead or assess risk, it has to answer a basic question: which company is this? Today, that answer is messy, and no one answers it reliably. Business identity lives across CRMs, ERPs and third‑party datasets full of duplicates, missing parent companies, stale addresses and incorrect enrichment. The cost shows up across the enterprise: sales teams miss revenue opportunities because they lack the right account context; operations teams take on avoidable exposure because risk signals are fragmented or wrong; and finance teams end up chasing and writing off bad debt that should have been caught earlier. Humans have worked around that mess for years. Agents cannot. They need a reliable business identity layer they can trust. Kernel is building that layer: the business registry for agents. We issue a permanent KERN ID for every business, plus the context an agent needs to act on it. Ops, data and revenue teams at Gong, Legora, Mistral, Canva and Checkout already use Kernel on their own systems. Agents are next, and there will be far more of them. We have raised $14M from top VCs and operators at Plaid, OpenAI, Slack and others, and we are growing 5x YoY. The Role We’re looking for an AI Ops Engineer for our product team to build the internal systems that help Kernel scale without adding unnecessary manual work. You’ll work across Product, Customer Support, and Engineering - finding the highest‑leverage problems and building practical AI‑powered workflows. This is a hands‑on builder role. You’ll take ideas from a vague business problem to a tool or workflow that people use, then maintain and improve it in production. You’ll choose the fastest sensible approach for each problem - coding agents, automation platforms, APIs, data pipelines or lightweight code. Your focus area will be whatever is the most critical blocker for Kernel’s growth, whether that’s automating our customer support, tying our data feedback loop to automatically seed our evals (benchmarks), building tooling for our sales team to demonstrate Kernel, and so on. You’ll report to Marcus Henglein, our co‑founder who leads our Product, Engineering, and Client Delivery teams. What You’ll Be Doing Automating customer support: The first focus area is to lead our initiative on automating as much of our technical customer support as possible, leveraging Kernel’s docs and MCPs, the right kind of AI tooling, and working closely with the engineering team. Turning user feedback into evals: Build workflows that turn data issues reported by users into test cases, helping Kernel catch recurring errors and measure improvements. Keeping docs current: Build workflows that detect product changes and keep our documentation accurate. Making Kernel easier to demo: Build tools that help our sales team prepare and run demos using relevant account data. Priorities shift, problems often start loosely scoped, and you’ll own the work through maintenance. What You Bring A track record of shipping: you’ve built tools, automations or AI workflows that people use every day, ideally inside a small, fast‑moving startup. Around 2–5 years of experience is typical, but what you’ve built matters more than your years. Ex‑founders welcome Curious about product: you’re keen to learn how a product/engineering organization works in a fast‑paced startup environment AI‑tool obsessed: you are constantly testing new models, agents, MCPs and workflows, and you have the judgement to turn them into reliable systems that people actually adopt - but without turning off the “Local LLM” that you were born with (your brain) Strong data instincts: you can turn fragmented, messy information into reliable workflows and create feedback loops that keep it trustworthy Can’t unsee inefficiency: you see the company as a connected system; when you find a broken or unnecessarily manual process, your instinct is to understand it, build the fix and make sure it sticks Artisanal programming experience is not required for this role, and you don’t need a traditional software engineering background. This role may not be for you if you: Prefer deep specialization over breadth: this role means switching between projects and teams, depending on business needs Prefer steady‑state work over project‑based sprints: priorities will shift as the business evolves Only want “strategic” work: you will personally build the tools, clean the data and fix the workflows Need every task to be clearly scoped before starting: ambiguity and learning on the fly are constant Avoid operational grunt work or lose interest after the prototype Want to work in a more structured 9‑to‑6 environment or in a remote/hybrid setup: we are in the office together 4–5 days a week and the pace is high What We Offer We will do our best to offer you a ride of a lifetime. It will not be easy, but it will be thrilling. Salary: £60,000–£85,000 + equity 24 days holiday per year + bank holidays £450 monthly office dinner allowance 2 weeks work‑from‑anywhere Generous parental leave policy Pension plan Top‑spec equipment and central London office Team events and dinners Work directly with the founders to deploy AI across a fast‑growing company High‑autonomy, high‑trust environment with a small team shipping at pace Stage 1 – Video call with the Hiring Manager. Stage 2 – Case study interview (in person) with the team. Stage 3 – Values interview with the Founders. If there is mutual fit, we move to references and offer. #J-18808-Ljbffr

Are you excited about building intelligent systems powered by cutting-edge AI technologies? Do you enjoy designing models that turn complex data into impactful solutions? Embedded Innovation Teams are cross-functional squads embedded within our segments to rapidly turn internal AI experimentation into validated, reusable solutions, building the capabilities we need to deliver customer value and growth. We work problem-first rather than tool-first, directly inside segment and function teams, improving the internal workflows that help our people deliver better outcomes for customers, faster. As a Senior AI Engineer, you will build and ship AI-powered features as part of a cross-functional Innovation Squad, working inside a business function. You will deliver the set technical direction to production standard, working autonomously within a defined problem, building and testing tool use, retrieval pipelines, and agent workflows, integrating AI capabilities into enterprise systems, and contributing to evaluation, observability, and guardrails. You will hold a high bar on code quality, flag risks and blockers early, and work alongside host-function stakeholders to make sure what you build fits real workflows, not assumed ones. You'll also support handover and capability-building so the solution is owned and operable after the squad moves on. • Build prototypes and proofs of concept and ship agentic AI solutions to production standards within a defined technical approach., • Implement and test tool use, retrieval pipelines, and agent workflows., • Contribute to evaluation, observability, and guardrails for agentic systems., • Integrate AI capabilities into existing enterprise workflows and systems., • Maintain high code quality and documentation so patterns can be reused., • Flag technical risks and blockers early., • Interface with technical peers to finalise requirements and complete moderately complex bug fixes., • Build solutions for reuse, contributing to patterns, reference implementations and starter kits so work done in one function can be picked up by another., • Instrument solutions to capture outcome data against baselines., • Work alongside host-function stakeholders to ensure the build fits real workflows, not assumed ones., • Support handover and capability-building in the host function so the solution is owned and operable after the squad moves on., • Keep abreast of new technology developments., • Take on related responsibilities as the squad's needs evolve., • Engineering experience: 3+ years in software engineering, with hands-on experience building LLM-powered applications in production (RAG, tool-augmented agents, or agentic workflows)., • Education: BS in Engineering, Computer Science, or equivalent., • Ways of working: Comfortable working autonomously within a defined problem and pushing back when something doesn't make sense, and delivering in short, time-boxed cycles where validated outcomes matter more than perfect solutions., • Agentic AI / LLMs: Building RAG pipelines, tool-augmented agents, and agentic workflows; familiar with prompt engineering, context management, evaluation, and observability., • Agent fundamentals: Understands how agents use memory, tools, and retrieval to complete multi-step tasks., • Enterprise integration: Integrating AI into existing systems via APIs and data pipelines., • Cloud: AWS, Azure or GCP., • Delivery: CI/CD, modern SDLC, TDD and code review., • Data: Working with relational, columnar and vector stores, grounded in sound data-modelling principles., • Languages: Python, Java, TypeScript/JavaScript, SQL and relevant AI SDKs., • Communication: Clear written and verbal communication with technical peers and stakeholders., • Measurement: Instrumenting solutions to capture usage, productivity and quality metrics against established baselines. Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. • Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: • Comprehensive Pension Plan, • Generous vacation entitlement and option for sabbatical leave, • Maternity, Paternity, Adoption and Family Care leave, • Personal Choice budget, • Internal communities and networks, • Various employee discounts, • Recruitment introduction reward, • Employee Assistance Program (global) A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights. #J-18808-Ljbffr

Indicium AI was Anthropic’s first European launch partner - and sits among a handful of organisations globally trusted by Anthropic to deploy Claude at enterprise scale. We are also one of the first four OpenAI partners in the UK, and Databricks Ventures has invested in our business and holds a seat on our board. Our engineers have access to the latest AI tools and models, partner technical teams, and early capability previews that the wider market does not. We are deploying production AI systems into the world's most complex organisations across Financial Services, Energy, and Healthcare. We exist to make AI a genuine competitive advantage for our clients, not in a presentation but in production. We invest seriously in our people. Every FDE at Indicium AI has access to Anthropic training, and a flexible learning budget to go with it. All of our staff are equipped with Claude licenses for Chat, CoWork and Claude Code. We are building a team of engineers who are at the frontier - and we support that with the investment to match. AI is not just changing what software can do - it is changing how software gets built. The best engineering organisations in the world are rewriting their operating models around AI native development: Claude Code in every workflow, agents across the SDLC, and a fundamentally different relationship between engineers and the tools they use. Most enterprises know this matters. Very few know how to make it work. The Forward Deployed Software Engineer at Indicium AI embeds directly with client engineering teams to transform how they build software. You do not wait for a brief. You watch how a team actually works, find the problems they have not articulated yet, and ship the changes that make AI native engineering real - not as a presentation, but in their daily workflows and production pipelines. This is a role for an experienced software engineer who is passionate about how AI is transforming the craft of software engineering. You will help organisations redesign their engineering capability - from how they use Claude Code and agentic tooling, to how they structure teams, review code, test, and ship. Then you will co-engineer alongside their teams to integrate these new ways of working into their product engineering workflows. You will lead engagements at some of the most complex organisations in the UK. Technically, commercially, and in the room with engineering leaders who have built serious systems and are not easily impressed. • Lead engagements that transform how enterprise engineering organisations build software - from discovery and assessment through to embedded co‑engineering and operational handover, • Design and implement AI native development workflows: Claude Code integration, agentic coding assistants, AI‑augmented testing, automated code review, and intelligent CI/CD pipelines, • Define and roll out operating models for AI native engineering across client organisations - covering tooling, process, team structure, and best practice at scale, • Co‑engineer with client product engineering teams, working shoulder to shoulder to integrate new ways of working into their existing codebases and delivery cadence, • Own the client technical relationship at senior engineering leadership level - you are the person the VP Engineering or CTO calls, not one of the people copied on the email, • Navigate organisational complexity - procurement, security, resistant teams, shifting priorities - without losing delivery momentum, • Identify and shape new opportunities within existing client relationships - commercial awareness is part of the role, not separate from it, • Codify repeatable patterns and playbooks for AI native engineering transformation that let the practice scale beyond individual engagements, • Mentor engineers on your engagements and raise the bar for the practice through knowledge sharing, • Work alongside Anthropic field teams on joint client engagements - representing Indicium AI at the highest level, • 5+ years as a software engineer with strong production experience - you have built and shipped real systems, not just advised on them, • Deep passion for how AI is transforming software engineering - you are already using Claude Code, Copilot, or agentic development tools daily and have a clear view on where this is heading, • Experience in a client‑facing technical role - forward deployed engineering, technical consulting, solutions architecture, or engineering leadership with external stakeholders, • Strong proficiency in modern software engineering stacks - Python, TypeScript, or Java - with comfort across cloud platforms (AWS, Azure, GCP), • Experience driving engineering process change or transformation within organisations - you have helped teams adopt new tools, practices, or ways of working at scale, • Genuine enterprise experience - you have navigated the realities of large engineering organisations: legacy systems, compliance requirements, multi‑team coordination, and stakeholder management, • High agency - you do not wait to be told what to do in an ambiguous situation, you make a call, communicate it, and deliver, • Vertical depth in at least one of Financial Services, Energy, or Healthcare - enough to be a credible peer, not just a technology generalist, • Experience with MCP server development, Claude Code enterprise deployment, or AI agent integration into development workflows, • Track record of defining engineering best practice or developer experience within a scaling organisation, • External presence - writing, speaking, or community contribution in the software engineering or AI tooling space, • Experience working alongside or within partner ecosystems such as Anthropic, Databricks, or AWS Anthropic’s first European launch partner. One of the first four OpenAI UK partners. Databricks Ventures invested and on our board. Our engineers work with capabilities before the wider market does and work jointly with teams from leading AI Labs on customer delivery. We embed, we architect, we build - and we stay until it works. Our engineers make real decisions on live systems, for clients in industries where getting it wrong has consequences. There are no layers between you and the work. No two engagements are the same. The variety and complexity of enterprise AI problems at Indicium AI is something a product company simply cannot offer. If you want engagements that test every dimension of what you can do, this is where they are. The best engineers we know are relentlessly curious - and we build an environment that supports learning and growth. Every engineer has access to leading AI training and tools, career development pathways, and a flexible L&D budget. We think that’s how it should be. #J-18808-Ljbffr

Our client is a fast-growing AI organisation looking for a Forward Deployed Engineer to join their team on a permanent basis in London. • 5+ years of hands-on experience in Forward Deployed Engineering, Applied AI Engineering, Technical Consulting, or a similar role, • Proven experience delivering AI or agentic systems into production, • Hands-on experience with LLMs, agent frameworks, MCP, prompt engineering, and evaluation, • Strong software engineering skills using Python, JavaScript, SQL, and APIs, • Experience integrating AI solutions with enterprise systems, ERPs, supplier portals, and internal platforms, • Ability to understand complex business workflows and translate them into practical AI-driven solutions, • Experience debugging, optimising, and improving AI agents in live production environments, • Strong communication skills, with the ability to engage senior stakeholders and explain technical solutions in business terms, • Experience working independently in customer-facing environments, managing delivery from discovery through to deployment, • Experience in retail, e-commerce, CPG, supply chain, procurement, manufacturing, or logistics would be advantageous, • Lead customer deployments from initial discovery through to go-live, • Map existing business workflows and identify opportunities for automation and process improvement, • Design and build agentic workflows, including actions, decision rules, exceptions, and fallback mechanisms, • Develop and deploy AI agents, integration code, scripts, and prototypes connecting to enterprise systems, • Debug, monitor, and optimise AI agents in production, focusing on measurable customer outcomes, • Lead customer working sessions, manage scope, and build relationships to support wider deployments, • Develop reusable templates, documentation, and runbooks to improve delivery efficiency, • Collaborate with Product and Engineering teams to share customer insights and improve the platform, • Take ownership of technical delivery while balancing customer requirements with practical engineering solutions All qualified applicants will receive consideration for employment regardless of gender, race, age, sexual orientation, religion, or belief. #J-18808-Ljbffr

It's hard to build a reliable system. It's harder to make sure that what you've built is really reliable. Synthesized is redefining software testing. Our platform automates test data, test cases, and test environments - empowering enterprise teams to ship faster, reduce compliance risks, and modernise QA at scale. We’re an ambitious VC-backed startup, having recently gone through Series A with leading global investors including redalpine, IQ Capital, Seedcamp, and Deutsche Bank. We have ambitious growth plans, and we are so keen for you to join us on the journey. We are hiring an AI Engineer to help form the strategic direction of our agentic offering - turning vision into shipped, scalable systems. This is a hands-on, builder-first role on our small applied-AI team. You'll work with our Product team to identify opportunities, scope them, and ship production-grade agentic capabilities integrated across our wider platform. Python, LangChain, Anthropic SDK, Pydantic, Docker Spec-driven: product and tech specs live in Notion before code does Benchmark-driven: every change scored against a golden-set rubric. Agents that demo well but regress under load don't ship LangSmith for trace-driven debugging and agent observability Drive product direction for our agentic offering, in close collaboration with our Product team Identify opportunities, scope them, and ship We're looking for engineers who think like product builders, comfortable shaping the "what" as well as the "how" Own the design, architecture, and implementation of agentic offerings, including: End-to-end solution delivery Integrations with wider ecosystems (partners/customers/platforms) Drive prototypes through to production code, deployed alongside other Synthesized product offerings Support partner/customer technical integration discussions where needed Raise the bar for agentic systems engineering through the code you ship and the patterns you share with the team Proven experience in design, architecture, and implementation of agentic offerings, including complete solutions and ecosystem integrations Built and shipped agents in production - tool/prompt design, framework tradeoffs, eval loops that catch regressions Nice to have: experience in test data management, test automation, or QA tooling Broader awareness of Software Quality Engineering is a supporting advantage Comfortable operating in ambiguity Demonstrated ownership and high velocity Competitive salary & meaningful equity – so you share in our success 25 days annual leave + celebration days + your birthday off Work From Anywhere – up to 1 month per year, fully flexible Hybrid working – a mix of home and our London offices Learning & development budget – for coaching, courses, and conferences Private medical, dental & vision cover Regular team socials & offsites – connect, celebrate, and recharge A collaborative team – smart, ambitious, and supportive Generous family leave – because life outside of work matters too We are committed to an inclusive and diverse workplace at Synthesized. Synthesized is an equal opportunity employer. We do not discriminate based on race, ethnicity, colour, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other legally protected status. #J-18808-Ljbffr

AI Engineer Our client, a leading global supplier for IT services, requires AI Consultant/Engineer to be based at their client's office in Cardiff / Manchester / London, UK. This is a hybrid role - you can work remotely in the UK and attend the Cardiff / Manchester / London office 2 days per week . This is a 12 month temporary contract to start asap Day rate: Competitive Market rate Join a high-performing engineering team delivering next-generation AI and digital transformation solutions within the financial services sector. This role offers the opportunity to design, build, and deploy enterprise-scale Generative AI and Agentic AI solutions that enhance customer experiences, improve operational efficiency, and accelerate business innovation. You will work with cutting-edge technologies including Google Gemini, Open-Source Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agent Development Kits (ADK), Model Context Protocol (MCP), and Google Cloud Platform (GCP). The role provides exposure to cloud-native architecture, MLOps, AI governance, and enterprise-scale solution delivery, enabling you to contribute to transformational programmes while remaining at the forefront of AI innovation. • Design, develop, and implement scalable Generative AI and Agentic AI solutions using Gemini and Open-Source LLMs., • Build and optimise RAG-based applications leveraging enterprise knowledge sources and vector search technologies., • Develop AI-powered APIs, microservices, and reusable components to support business-critical applications., • Fine-tune, evaluate, onboard, and operationalise foundation models to meet specific business requirements., • Collaborate with business stakeholders, architects, and engineering teams to translate use cases into technical solutions., • Deploy and manage AI workloads on GCP using modern cloud-native and container technologies., • Implement MLOps best practices covering model deployment, monitoring, CI/CD, automation, and governance., • Ensure solutions meet enterprise standards for security, reliability, scalability, and performance., • Conduct performance tuning, observability monitoring, and root cause analysis for production systems., • Provide technical leadership, mentoring, and support for AI engineering best practices across delivery teams. Essential Skills: • Strong hands-on experience in Generative AI, Agentic AI, and Large Language Model (LLM) implementations., • Proven expertise with Google Gemini and Open-Source LLM ecosystems., • Advanced Python development skills with experience building enterprise-grade applications., • Experience designing and implementing Retrieval-Augmented Generation (RAG) architectures., • Strong understanding of ADK, MCP, AI orchestration frameworks, and integration patterns., • Experience developing REST APIs, microservices, and distributed applications., • Hands-on experience with Google Cloud Platform (GCP) services and cloud-native architectures., • Strong knowledge of MLOps practices, CI/CD pipelines, model lifecycle management, and automation., • Experience with Docker, Kubernetes, container orchestration, and scalable deployment strategies., • Excellent analytical, problem-solving, stakeholder management, and communication skills. Desirable Skills: • Experience within financial services, banking, insurance, or other regulated industries., • Expertise in GenAI, Gemini, and Open-Source LLMs, including fine-tuning and onboarding., • Strong experience in Python, RAG, ADK/MCP, APIs, and microservices.Skilled in GCP, MLOps, CI/CD, Docker, Kubernetes, and scalable AI solutions., • Proficient in observability, performance optimization, security, and production reliability., • Knowledge of Responsible AI, AI governance, compliance, and model risk management., • Experience with LangChain, LangGraph, LlamaIndex, CrewAI, Semantic Kernel, or similar frameworks., • Familiarity with vector databases such as Pinecone, Weaviate, ChromaDB, or pgVector., • Experience implementing observability and monitoring solutions for AI platforms., • Understanding of event-driven architectures, messaging platforms, and enterprise integration patterns., • Exposure to data engineering, feature stores, and enterprise data platforms., • Experience leading technical design discussions and architecture reviews., • Knowledge of AI security, prompt engineering, guardrails, and reliability engineering practices., • Relevant cloud and AI certifications (Google Cloud, Kubernetes, Generative AI, or ML certifications). Due to the volume of applications received, unfortunately we cannot respond to everyone. If you do not hear back from us within 7 days of sending your application, please assume that you have not been successful on this occasion. Please do keep an eye on our website jobs/ for future roles. #J-18808-Ljbffr

Digital Business Solutions (DBS) delivers innovation and solves customer and business problems by leveraging the power of technology, data, and — increasingly — AI. Within DBS, the AI Innovation team focuses specifically on identifying and delivering agentic and generative AI capabilities across our Salesforce ecosystem and adjacent platforms. We partner with customers, authors, editors, and Elsevier colleagues to drive intelligent automation, frictionless personalised experiences, and streamlined processes that support cost optimisation and growth. We provide the expertise to understand business challenges and translate them into practical, responsible AI-enabled solutions. The Senior Business Analyst will work with business units and technology teams to identify, scope, and deliver AI innovation opportunities across our Salesforce platform landscape — including Salesforce Agentforce, Data Cloud (Data 360), and Model Context Protocol (MCP)-based integrations, as well as adjacent AI tooling. The role focuses on hunting for value opportunities for sales teams; understanding the data and process foundations required to ground AI agents; and defining requirements and functional specifications that bridge business needs with emerging AI capabilities. • Partner with business and product teams to identify opportunities where AI agents, automation, and data unification can remove friction, reduce cost, or improve customer/employee experience, • Document current-state business processes and design future-state processes that incorporate Salesforce Agentforce agents, Data Cloud (Data 360), and MCP-based integrations, • Gather business requirements, high-level user stories, and acceptance criteria for AI agent workflows — including agent actions, guardrails, escalation paths, and human-in-the-loop checkpoints, • Assess data readiness for AI use cases (data quality, identity resolution, harmonisation) in partnership with data engineering teams supporting Data 360, • Plan and facilitate workshops to scope AI/agentic use cases, evaluate feasibility, and align stakeholders on priority and sequencing, • Work with technology teams (Salesforce, data engineering, AI/ML engineers) to produce detailed user stories and acceptance criteria that support development and QA, including for Agentforce agent builds and MCP server/tool integrations, • Maintain stakeholder expectations, communicate trade-offs of AI-driven solutions (accuracy, latency, cost, risk), and raise issues to project/product managers as needed, • Develop "trusted advisor" relationships with senior stakeholders through effective communication about AI capabilities, limitations, and responsible use, • Perform analysis on existing systems and processes to identify where AI/agentic solutions are technically and commercially viable versus where traditional automation is a better fit, • Track the evolving Agentforce, Data Cloud, and MCP/agentic-AI landscape, and translate relevant developments into concrete opportunities for the business, • Support change management and user adoption for AI-driven process changes, including documentation and enablement materials, • Proven experience in process modelling (BPMN standard), eliciting business requirements, and translating them into clear user stories and acceptance criteria, • Hands‑on experience with the Salesforce platform (Sales Cloud / Service Cloud); working knowledge of, or strong interest in, Salesforce Agentforce and Data Cloud (Data 360), • Working familiarity with core AI/agentic concepts — prompt engineering, retrieval-augmented generation (RAG), tool/function calling, and Model Context Protocol (MCP) — sufficient to translate business needs into technical requirements, • Understanding of data architecture fundamentals (data unification, identity resolution, data quality) as they relate to grounding AI agents on trustworthy data, • Solid understanding of software development methodologies, platforms, and tools, including how AI/agentic components fit into standard SDLC, • Demonstrated ability to plan and facilitate small to medium-sized workshops, including cross‑functional AI use‑case discovery sessions, • Strong verbal and written communication skills, with the ability to translate complex AI/technical concepts for non‑technical stakeholders and vice versa, • Hands‑on experience working in agile environments using recognised delivery frameworks such as Agile, Scrum, and Kanban, • Experience performing the Business Analyst role across the full software development lifecycle, • Experience with Lead-to-Cash processes and Salesforce, • Exposure to data analytics and data‑driven decision‑making, and familiarity with tools such as Jira, Confluence, Slack, Microsoft Office, and Microsoft Teams, • Exposure to Salesforce Einstein, Copilot Studio, or comparable generative AI platform features, • Basic SQL or Python skills for exploring data sets and validating AI/data outputs, • Awareness of responsible AI principles (bias, privacy, explainability, human oversight), • Salesforce certifications (e.g., AI Associate, Agentforce Specialist) or equivalent demonstrated learning We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long‑term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well‑being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights. #J-18808-Ljbffr

Senior Platform Architect (Presales)Postuler: Hybrid: London, United Kingdom: Full time: Publié il y a 6 jour(s): R35381## Job Description## Position OverviewAs a Senior Platform Architect, you will serve as the technical strategist helping our largest enterprise customers and prospects unlock the full potential of the AI-powered Zendesk Resolution Platform. You will design and architect next-generation service solutions that drive measurable business outcomes, transforming traditional support centers into highly efficient, Autonomous Service Workforces.Simultaneously, you will act as a critical technical advisor to our enterprise sales organization, providing best practices and technical architecture guidance, driving POC’s and helping secure the technical win to exceed new bookings, expansion, and customer retention targets.## Main Responsibilities### Strategic Value & Executive Advisory* Executive Technical Value: Partner with sales engineers , account executives and business consultants to drive strategic discussions, effectively communicating complex technical architecture and solutioning along with the business value of AI to C-suite and director-level executives.* ARR & Pipeline Impact: Serve as a high-impact technical overlay resource, driving ARR through automated resolutions by conducting strategic technical discovery, scoping, and successfully managing complex Proof of Concepts (POCs) for key expansion and cross-sell opportunities.* Positioning Zendesk Headless : You would be responsible to demonstrate the power of Zendesk headless technology and help customers embed Zendesk deep into their workflows inside and outside of the core platform via MCP and A2A technology.### AI & Platform Architecture* Autonomous Service Deployment: Master and deploy the Zendesk Agent Builder and Action Builder to architect multi-step, agentic workflows, helping customers reach and exceed an 80% automated resolution target.* Ecosystem Integration & Connectivity: Architect modern integrations connecting the Zendesk platform to external AI platforms and enterprise applications. Design these connections utilizing the Zendesk MCP (Model Context Protocol) Server, comprehensive APIs, and advanced Integration Platforms as a Service (iPaaS), while applying scalable enterprise integration patterns.* Knowledge & Memory Engineering: Leverage Zendesk's Context Graph (operational memory layer) and Knowledge Graph connectors to integrate unstructured, federated enterprise data sources (e.g., SharePoint, Confluence, Google Drive) into the customer’s AI ecosystem without data migration.### Cross-Functional Leadership & Delivery* The "Road to 80%" Methodology: Lead the critical technical hand-off between pre-sales and post-sales implementation teams, ensuring long-term AI deployment success, continuous quality assurance via AI Quality Scores, and ongoing expansion.* Subject Matter Expert (SME): Act as the organizational authority on Zendesk platform security, planetary scalability, custom data models, and Zendesk Copilot implementations.* Product Liaison: Partner directly with Product Engineering, Product Marketing teams to serve as a feedback loop, directly shaping the future roadmap of the Zendesk AI architecture.## Required Qualifications### Core Experience & Business Acumen* Solutions Architecture & Consulting: 8+ years of experience in enterprise system/solution architecture, technical presales, or professional IT consulting services.* AI & Large Language Model (LLM) Literacy: Exposure to or hands-on experience with experience architecting and deploying generative AI solutions, prompt engineering, Retrieval-Augmented Generation (RAG) frameworks, and Agentic AI reasoning systems.* Modern API & Integration Proficiency: Advanced expertise with RESTful APIs, JSON implementations, web services, database design, data modeling, and Model Context Protocol (MCP) configurations.### Infrastructure & Security* Cloud Ecosystems & iPaaS: Deep familiarity with cloud environments (AWS, Azure, GCP) and experience orchestrating enterprise-wide data utilizing iPaaS applications.* Enterprise Security & Compliance: Comprehensive knowledge of Single Sign-On (SSO) configurations, OAuth, advanced data privacy frameworks, and token-based AI authentication capabilities.* Technical Web Stack: Solid understanding of frontend and scripting capabilities (HTML, CSS, JavaScript) and modern SaaS application development architectures.### Soft Skills & Leadership* Exceptional Communication: Proven track record of influencing senior stakeholders, distilling highly technical AI concepts into business outcomes, and delivering flawless technical presentations both onsite and remotely.* Thriving in Fast-Paced Environments: Ability to prioritize multiple complex, concurrent transformation accounts while maintaining a proactive, can-do attitude.## Desirable Qualifications* Enterprise Software Implementation: Previous experience managing large-scale implementations of enterprise class Customer Service software or ITSM platforms.* Advanced Analytics & Business Intelligence: Experience utilizing advanced diagnostic analytics systems for root-cause and trend analysis.* Modern Frontend Frameworks: Familiarity with modern JavaScript frameworks such as React, Vue, or Node.js to assist in custom app development.* Practical experience using AI-augmented tooling (e.g., Claude Code, Cursor) to enhance daily productivity, scale technical output, and model AI best practices.* Strong sales acumen and prior experience in a technical pre-sales or solutions architecture role within an enterprise SaaS or CX environment. Experience with platforms such as Salesforce Service Cloud, ServiceNow, Intercom Fin, or Freshworks is highly desirable. #LI-UK1 #J-18808-Ljbffr

London, United Kingdom SLSQ128R19 Do you want to help solve the world's toughest problems with big data and AI? This is what we do everyday at Databricks. We are looking for a Enterprise Account Executive to join the team in the UK to maximise the phenomenal market opportunity that exists for Databricks within the Manufacturing industry. Your mission will be to grow one of our most strategic Manufacturing customers. Reporting to the Director, Sales, as a Enterprise Account Executive at Databricks you will come with an informed and compelling point of view on the Big Data, Advanced Analytics and AI space which will guide your successful strategy and together with both our teams and partners, allow you to provide exceptional value to our customers. • You will co-develop a business plan, with your team and ecosystem partners, that accelerates customer success to exceed quarterly/annual usage and booking goals, • You will lead your team, customer and partners to identify impactful big data and AI use cases whilst proving out their value on the Databricks Data Intelligence Platform, • You will implement the big data and AI transformation goals of your customer through a combination of strategic partnerships, well-scoped professional services, training and targeted Executive Engagement, • You will develop an understanding of technical product details and roadmap to build trust with executives and business and technical champions, • Experience developing strong relationships with large Enterprises global accounts, managing virtual teams, and leading complex sales campaigns ideally in major manufacturing accounts, • You will have experience working in Big Data/ Cloud, • Proof of exceeding sales quotas in high-growth Enterprise software companies, • You will have experience driving usage and commit-based engagement models and strategies working with professional services and training teams, • You will have experience co-selling and scaling your business with Cloud Vendors (AWS, Azure and Google Cloud teams) and Global Solution Integrators (GSI), • You will have experience co-developing business cases and gaining support from C-level Executives, • You will have experience of value-based selling Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. #J-18808-Ljbffr

AI coding is the largest use case of enterprise AI adoption today, as is evident from the success of Anthropic on Claude Code, Cursor's $60B exit to SpaceX, and Cognition's $48B valuation. AI coding is the largest use case of enterprise AI adoption today, as is evident from the success of Anthropic on Claude Code, Cursor's $60B exit to SpaceX, and Cognition's $48B valuation. The bottleneck now has moved from code generation to security and safety - AI agents write code faster than any team can review it, and over 65% of the lines of code produced by them are insecure. Vulnerabilities are piling up 16x faster than companies can fix them, and adversaries are able to exploit these new vulnerabilities within hours. AURI by Endor Labs closes that gap. It runs inside the harness where coding agents work, through hooks, skills and MCP, so the controls sit outside the model and every agent action is visible. Underneath is our patented code context graph, which maps code, open source, containers and infrastructure. It shows which vulnerabilities can actually be reached and exploited, then delivers fixes that won't break the application. Security teams get evidence instead of noise, and developers get fixes instead of tickets. The companies building AI trust us to secure it - our customers include OpenAI, SpaceX, DoorDash, Dropbox, Atlassian, MongoDB, Snowflake, Robinhood and Peloton to name a few. Endor Labs is the third company from Founder & CEO Varun Badhwar, who built Prisma Cloud, the platform that helped define cloud security, from $0 to $300M ARR at Palo Alto Networks. We've raised $163M from Lightspeed, Coatue, DFJ Growth, Salesforce Ventures and Dell Technologies Capital. Software runs everything around our lives today - banking, hospitals, airports and power grids. AI now writes more of it every day, and our mission is to make sure the world can trust that software. Come build that future with us. • Educate with Enthusiasm: Elevate awareness about Application Security and Software Supply Chain Security. It's about making security engaging and accessible to developers everywhere., • Master Our Tech: Deep dive into our supply chain security product suite and emerge as the go-to expert and evangelist., • Deliver Tailored Demos: Showcase our solutions in a way that speaks directly to the needs and challenges of our customers. Be the architect of captivating, solution-oriented presentations., • Shape Customer Outcomes: Collaborate with our engineering and product teams to design solutions that genuinely address customer challenges. Your insights from the field will directly influence our product development, ensuring we always meet our customers' evolving needs., • Facilitate Customer Success: Guide customers through onboarding, ensuring a smooth transition and adoption of the Endor Labs solution. Your goal is to empower customers to leverage our technology fully and ensure they achieve their security and development objectives., • Rich Experience: You have experience in pre-sales or a similar customer-facing, technical role. You're no stranger to technical deep dives, product demonstrations, and leading evaluations., • Strong Technical Foundation: A solid understanding of modern software development practices, including backend or full-stack development experience, CI/CD pipelines, Git-based development workflows, and DevOps tooling. You're comfortable engaging deeply with engineering teams and understanding how modern applications are built and deployed., • Application Security Awareness: Familiarity with application security concepts, software supply chain security, and/or identity & access management principles. You understand the importance of securing developer workflows and modern cloud-native environments., • Tech Savvy: A robust understanding of the Developer, DevOps, Application Security, and open-source ecosystems. Hopefully, you can meet developers where they are and flex some programming skills., • Customer & Sales Skills: You've successfully engaged with technical customers at an Enterprise level and know how to articulate complex solutions and operate in a sales cycle., • Curious and Eager to Learn: Always on the lookout for new technologies and understanding the intricacies of how things work., • Collaborative Spirit: You thrive in a team setting and value diversity and inclusion in every interaction., • Action-oriented: You prefer actively solving customer problems and asking for help as needed., • Go to extraordinary lengths to distinguish ourselves through world-class work., • Prioritize quality over speed, and speed over scope., • Desire to work with deeply kind, mission-driven people., • Strive to make the complex simple., • Use first principles to debate ideas, test assumptions, and make decisions., • Seek the truth by putting data above opinions., • Assume good intent and give tactical feedback to help each other get better., • Hold no ego—when our customers win, we all win., • Competitive salary and comprehensive benefits package including Health, Dental, Vision and Mental Health plans., • 401(k) plan to support your longterm financial goals., • Flexible PTO to maintain a healthy work-life balance (we want you here for the long-haul!), • Opportunities for co-working and team meetups to foster collaboration., • A dog-friendly office environment for those who love to bring their fur babies along. We celebrate diversity and are committed to creating an inclusive environment for all employees. Even if you don't fit every requirement above, we believe in the power of diverse perspectives and experiences, so we encourage all talented individuals to apply—there's no one-size-fits-all here. For candidates who receive an offer for this position, the compensation range is expected to be between $190,000 - $250,000. This may include additional incentives such as commission targets, restricted stock units, and/or bonuses, depending on the role. #J-18808-Ljbffr

We power people’s progress. At Preply, we’re all about creating life‑changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human‑led, tech‑enabled - and it’s creating real impact. We power people’s progress. At Preply, we’re all about creating life‑changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human‑led, tech‑enabled - and it’s creating real impact. We’ve just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human‑led, AI‑enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we’re only getting started. As a category‑defining company, we’re shaping what the future of learning looks like at global scale. Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day. AI Platform provides the shared foundations that help teams across Preply build, ship, and operate AI capabilities safely at scale. The area includes ML Platform, GenAI Platform, and Agentic Platform. You will lead GenAI and Agentic Platform: approximately 8-12 engineers across two teams, while partnering closely with ML Platform leadership. GenAI Platform owns shared model access, routing, evaluation, observability, prompt and configuration lifecycle, retrieval, grounding, and guardrails. Agentic Platform builds on those foundations with durable execution, tools, state, context, memory, permissions, human controls, agent evaluation, and runtime safety. The two teams share a Product Manager. Together, you will shape strategy, priorities, adoption, and outcomes; clarify what belongs in shared infrastructure versus product teams; and evolve the platform as models, frameworks, and company needs change. Learn more through our Engineering Blog, Tech Radar, and YouTube channel. GenAI and Agentic AI are central to Preply's AI strategy. As the Senior Engineering Manager for GenAI & Agentic Platforms, you'll own the engineering strategy, execution, and organizational health of two complementary teams that take AI workloads from experimentation to reliable production systems. This is a multi‑team leadership role for a manager with strong technical judgment. You won't be the primary implementer, but you'll go deep on architecture and production AI, coach senior engineers, shape platform abstractions and operational standards, and partner with Product, Applied Science, Data, Security, and Engineering teams. • Set the long‑term engineering vision for GenAI Platform and the Agentic Platform, ensuring they operate as a single, coherent platform., • Partner with the Product Manager across both teams to define outcomes, prioritize investments, and measure the impact of the platforms., • Lead and develop approximately 8-12 engineers across two teams through clear expectations, direct feedback, performance management, career growth, and coaching., • Own hiring quality, team composition, evolving team boundaries, and operating models as the platforms and company change., • Guide architecture across model access, evaluation, observability, retrieval, agent orchestration, tools, state, memory, permissions and control planes., • Translate strategy into realistic plans, balancing foundational investment with near‑term product needs while surfacing trade‑offs and maintaining speed, quality, and predictability., • Align senior stakeholders across Product, Applied Science, Data, Security and Engineering on platform standards, build‑vs‑buy decisions and shared priorities., • 8+ years of software engineering experience, including 5+ years in engineering management and experience leading multiple teams or a multi‑squad technical area., • A track record of hiring, coaching, and retaining high‑performing teams., • Strong technical depth in platform engineering, backend or distributed systems, ML infrastructure or developer infrastructure., • Practical experience with production GenAI or Agentic systems and the ability to reason about model access, evaluation, observability, retrieval, agent orchestration, tool use, state, permissions, reliability, cost, and safety., • AI Expertise: You use Agentic AI beyond code generation to support architecture, planning, and decision‑making, while retaining human judgment for architecture, people decisions, business logic, and security, and establishing quality gates and safety nets for team workflows., • Experience leading platform products, with a strong instinct for self‑service, API design, developer experience, adoption and avoiding unnecessary complexity., • Clear communication and stakeholder leadership, with the ability to align teams with different incentives, make sound decisions with incomplete information and revisit assumptions as the ecosystem changes., • Experience managing teams that built AI or ML platforms used by multiple teams., • Experience with agent frameworks or durable workflow technologies such as LangGraph, OpenAI Agents SDK, or Temporal., • Hands‑on familiarity with GenAI evaluation and observability, prompt or model lifecycle, retrieval systems, multi‑provider routing or open‑model serving., • Experience making build‑vs‑buy decisions without locking the organization into one provider or framework., • Experience measuring platform success through adoption, customer outcomes, and engineering leverage rather than infrastructure delivery alone., • An open, collaborative, dynamic, and diverse culture;, • A generous monthly allowance for lessons on Preply.com, Learning & Development budget, and time off for your self‑development;, • A competitive financial package with equity, leave allowance and health insurance;, • Access to free mental health support platforms;, • Access to Gympass‑partnered wellness and gym centers throughout London to promote and support well‑being and physical health;, • The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!)., • Care to change the world - We are passionate about our work and care deeply about its impact to be life changing., • We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience., • Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters., • Now is the time - In a fast‑paced world, it matters how quickly we act. Now is the time to make great things happen., • Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently., • Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions., • Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks., • Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high‑performing teams that can make a real difference., • Challenge, disagree and commit - We value open and candid communication, even when we don’t fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made., • One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress. Preply.com is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed-Tech company. That means that Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status. #J-18808-Ljbffr

AI Engineer, London. The most leveraged seat in the company. A London technology company, around 85 people, well backed and approaching profitability, is hiring one AI Engineer to rebuild how the company itself operates. This is not a product engineering job. You will sit in the middle of the business, next to finance, legal, ops and customer success, reporting directly to one of the founders. There is nobody else in this seat. Everything you build compounds, because every hour you give back to a colleague turns into revenue and every process you rebuild permanently changes the cost base. The first job is concrete and already scoped. Automate customer support and onboarding so the customer success team stops answering tickets and starts growing accounts. Then link the sales, delivery and finance data into one spine so the exec team can ask a question instead of commissioning a project. The third job is the real one, and nobody has written the brief. Rebuild the company from first principles, agent-first, so the default answer to who does this is an agent with a human owning the outcome. You will write that brief yourself. What we need to see. You have built something that other people actually use, and you can tell us how you got them to use it. You are comfortable in Python, you push your own work live, and you are a level deeper than someone who builds inside a chat window. You can sit with somebody in finance or customer success, work out what really slows them down, and design the fix yourself without waiting for a spec. What we do not need. A degree. A particular number of years. A background in this sector. The founder said plainly that he cares about the person and the aptitude, not the CV shape. One more thing, and it matters more than any of the above. You have to be willing to walk up to a colleague and tell them to use the thing you built, and willing to stand your ground with a founder who wants to be argued with. London, three days a week in office. Three month contract outside IR35 to start, converting to permanent. 60k to 75k base equivalent with equity on conversion. #J-18808-Ljbffr

GlobalLogic is building AI-first enterprise solutions that help global clients transform their digital platforms and products. As a Senior/Lead AI Engineer, you will own and drive the development of our core agentic frameworks, evaluation pipelines, and observability tooling to ensure they operate with safety, trust, and intelligence at scale. You won’t just be integrating AI into a product, you will lead the engineering systems that make these technologies trustworthy, robust, and scalable for enterprise clients. We are looking for a Senior/Lead AI Engineer to provide technical leadership and architectural direction to our AI engineering team. In this role, you will be responsible for designing high-performance multi-agent systems, establishing robust evaluation standards, and mentoring other engineers to build production-grade, LLM-backed applications. • 5+ years of software engineering experience, including hands-on experience shipping agentic or LLM-backed systems that are used in production., • AI DLC experience: Demonstrated experience with AI Development Life Cycle practices and methodology., • Orchestration: Production, hands-on experience with an agentic framework such as LangGraph, plus familiarity with MCP-based tool orchestration. Exposure to AutoGen, LlamaIndex, or CrewAI is a plus., • Production Python engineering: Clean, modular, testable, maintainable code — you care about system reliability as much as model output., • Evaluation & observability: Practical experience instrumenting tracing (LangSmith, Arize) and building CI/CD pipelines built specifically for LLMs., • Engineering foundations: Distributed systems, scalable data pipelines (Kafka, SQL), and cloud-native infrastructure., • Cloud-native deployment: Deep familiarity with shipping agentic workloads into production environments, ideally leveraging Kubernetes for enterprise scale., • Hallucination Reduction: Designing deterministic verification loops for enterprise outputs to guarantee factual reliability., • Latency Optimization: Cutting round-trip time across complex, multi-agent workflows to achieve real-time responsiveness., • Governance Automation: Building “Policy Agents” that turn static regulatory policies into real-time, automated compliance enforcement guardrails., • Architect Agentic Systems: Design, implement, and govern multi-agent architectures that serve as the foundational framework for our development teams., • Lead Eval-Driven Development: Establish, own, and scale the evaluation harnesses and CI/CD pipelines that measure accuracy, hallucination, and performance before any model or system ships., • Optimize Performance at Scale: Strategically tackle complex challenges like RAG latency optimization, context-window management, and intelligent information routing under enterprise-level production load., • Build Observability & Governance: Define and build real-time monitoring, tracing, and guardrail compliance tools to guarantee system transparency and policy enforcement., • Technical Leadership & Mentorship: Lead technical design reviews, set coding standards, and actively mentor mid-level and junior engineers on the team., • Cross-functional Collaboration: Partner with product managers, client executives, and cloud infrastructure teams to align technical delivery with strategic product goals. Our goal is to build an inclusive positive culture where everyone can feel comfortable being themselves, empowering people to create their own high standards and therefore more value. We work together to promote fairness while recognising, valuing and embracing differences – providing a transparent support structure and generous training budget to help our people develop skills to progress their career. Our region supports a hybrid model that can flex across a wide spectrum of working options determined by business, customer and individual needs. You’ll benefit from a comprehensive health and wellness plan, private healthcare (clinical and mental wellbeing), discounted gym memberships, and in office yoga sessions and massages. We offer a fantastic benefits package including a competitive pension scheme and recognition schemes through bonus/reward initiatives. Colleagues are entitled to an annual volunteering day – so you can take time to support a cause close to your heart. We also love to stay social with trips to the zoo, quiz nights, sports events, theatre trips and much more. We are an equal opportunities employer. It is our policy to promote an environment free from discrimination, harassment and victimisation, and we actively welcome applications from people with a disability or long-term health condition. As users of the Disability Confident scheme, we guarantee to interview all disabled applicants who meet the minimum essential criteria for this vacancy. We are committed to providing reasonable adjustments. If you require any adjustments for the application process, the interview, or the job itself, or if you need this information in an accessible format, please contact . GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services. #J-18808-Ljbffr

We partner with leading Financial Services organizations to deliver large-scale digital transformation, cloud, data, AI, and platform modernization initiatives across global delivery models. We are looking to hire an experienced Platform Engineer for our consulting client projects. Required Skills & Experience • Strong software engineering background with production experience in modern languages/frameworks (TypeScript, Python, Java, or similar), • Hands‑on experience with Claude Code (or equivalent agentic CLI tooling — Cursor, Codex CLI, Cline, Aider): writing custom skills, building subagents, configuring MCP servers, and integrating AI tooling into development workflows, • Demonstrable experience with AI‑native development practices: prompt‑first development, AI pair programming, agent‑assisted code review, • Solid understanding of CI/CD pipelines (GitLab), Git workflows, and platform tooling — able to modernise and improve existing setups, • Experience working embedded within engineering teams (not just isolated delivery), • Ability to coach and upskill other engineers through pairing, demos, and knowledge transfer, • Comfortable with ambiguity — able to assess an unfamiliar codebase, identify improvement opportunities, and prioritise pragmatically, • Background in DevOps or platform engineering (infrastructure-as-code, container orchestration, observability), • Familiarity with financial services engineering environments (regulated change processes, security constraints), • Experience contributing to or maintaining internal developer platforms or golden path tooling, • Knowledge of software delivery metrics (DORA, cycle time, deployment frequency) and how to improve them, • Deploy into product squads as part of the discovery and landing phase — assess current state, contribute to the transformation backlog, and begin immediate delivery alongside the team, • Drive tech debt reduction and pipeline modernisation within the engineering team’s production codebase during the early modernisation phase, • Author and maintain AGENTS.md and CLAUDE.md context files that capture product knowledge for LLM‑assisted development, • Inject centrally‑published platform assets (agents, templates, CI/CD patterns) into live repositories during the rollout phase, ensuring they integrate cleanly with existing workflows, • Build custom Claude Code (or equivalent agentic CLI tooling) skills and subagent architectures tailored to the squad’s domain — automating repetitive tasks, code generation, and review workflows, • Coach squad engineers on AI-native delivery habits: prompt‑first PRs, agent‑assisted reviews, effective use of Claude Code (or equivalent agentic CLI tooling) in daily development, • Feed learnings, patterns, and reusable assets back to the Central Platform Team for inclusion in the centrally‑available components Our goal is to build an inclusive positive culture where everyone can feel comfortable being themselves, empowering people to create their own high standards and therefore more value. We work together to promote fairness while recognising, valuing and embracing differences – providing a transparent support structure and generous training budget to help our people develop skills to progress their career. Our region supports a hybrid model that can flex across a wide spectrum of working options determined by business, customer and individual needs. You’ll benefit from a comprehensive health and wellness plan, private healthcare (clinical and mental wellbeing), discounted gym memberships, and in‑office yoga sessions and massages. We offer a fantastic benefits package including a competitive pension scheme and recognition schemes through bonus/reward initiatives. Colleagues are entitled to an annual volunteering day – so you can take time to support a cause close to your heart. We also love to stay social with trips to the zoo, quiz nights, sports events, theatre trips and much more. We are an equal opportunities employer. It is our policy to promote an environment free from discrimination, harassment and victimisation, and we actively welcome applications from people with a disability or long‑term health condition. As users of the Disability Confident scheme, we guarantee to interview all disabled applicants who meet the minimum essential criteria for this vacancy. We are committed to providing reasonable adjustments. If you require any adjustments for the application process, the interview, or the job itself, or if you need this information in an accessible format, please contact . GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward‑thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services. #J-18808-Ljbffr

We are looking for a hybrid, highly technical GTM Engineer to bridge the gap between marketing technology, revenue operations, and software engineering. In this role, you won't just be configuring tools, you will be architecting, automating, and maintaining the engine that powers our revenue ecosystem, working alongside your Engineering & Operations peers. As a pillar of WGSN’s Revenue Systems function, the Digital Marketing team is a team of SMEs that drives measurable growth across the entire customer lifecycle from brand awareness to sales and retention. We operate at the intersection of strategy and technology across core areas of Performance Marketing, Marketing Automation, MarTech & Operations, and Website Delivery, aligning digital execution with commercial goals while leveraging automation to reduce manual effort and maximise ROI. • Marketo Engineering & Attribution: Architect, optimise, and maintain complex Marketo programs, dynamic templates (utilising Velocity scripting), custom objects, and multi-touch attribution models in collaboration with Marketing Operations, Business Intelligence, and GTM teams., • Lead Lifecycle & Routing: Build and refine end-to-end lead scoring, lifecycle stage transitions, and routing logic between Marketo and Salesforce to ensure efficient & automated sales handoffs., • Inbound & Paid Media Pipelines: Build and manage SQL-based data pipelines (BigQuery/Snowflake/dbt) and automated extracts connecting our MarTech - GA4, SEO/GEO data, and paid media platforms (LinkedIn, Google Ads, Meta) to the central data warehouse., • System Integration & Webhooks: Design, implement, and monitor robust API integrations, webhooks, and middleware to sync real-time data across Marketo, Salesforce, Revenue Systems tools (Gong, Lusha, ZoomInfo), and data warehouses. Applied AI & Automation Engineering, • Automated Enrichment & personalisation: Develop custom Python/Node.js scripts connecting lead capture channels to LLM APIs (Claude, Gemini) to auto-categorise, enrich, and score inbound/outbound leads in real time., • Unstructured Data & AI Insights: Extract actionable intent signals, sentiment, and competitor mentions from conversational tools (e.g., Gong API) and feed enriched data back into revenue systems and the warehouse., • Emerging Tech Exploration: Experiment with and pilot multi-agent orchestration systems, LLM-powered workflows, and protocols (such as MCP or multi-agent orchestration systems) to automate complex operational and administrative tasks., • Custom Scripting & Automation: Write clean, maintainable Python and JavaScript code to automate manual operational workflows and bridge legacy gaps across the revenue ecosystem., • Full Stack Support & Maintenance: Serve as a flexible engineering resource capable of troubleshooting API failures, debugging automation flows, and supporting any platform across the global revenue ecosystem. This list is not exhaustive, and there may be other activities you are required to deliver. • Experience & Mindset: 3+ years in MarTech, RevOps, or GTM Engineering, with a proactive builder mindset focused on writing code and building automated pipelines to solve operational inefficiencies., • Marketo Architecture: Expert-level Marketo knowledge (programs, lead lifecycles, webhooks, Velocity scripting, tokens); Adobe Marketo Engage Certified Expert (MCE) or above is highly desirable., • Programming & Scripting: Strong coding skills in Python, JavaScript, SQL, HTML/CSS, JSON, REST/SOAP APIs, and webhooks for system integrations and custom development., • Data Engineering & Analytics: Hands-on experience with BigQuery, Snowflake, or dbt to extract and transform data across Marketo, GA4, GTM, and paid media platforms (Google, LinkedIn, Meta)., • Applied AI Integration: Proven ability to interface with LLM APIs (OpenAI, Claude, Gemini) using Python/JS for real-time lead enrichment, intent scoring, dynamic personalization, and workflow automation., • Revenue Tech Stack: Familiarity with Salesforce (Flows/Apex/APIs), revenue tools (Gong, ZoomInfo, Lusha, LinkedIn Sales Navigator), and middleware platforms (Zapier, Make, Workato, Funnel)., • DevOps & Developer Tools: Proficient with Git workflows (GitHub/BitBucket), modern AI coding assistants (Claude Code), and project management tools (JIRA)., • Stakeholder Management: Demonstrated ability to partner closely with Digital Marketing, the broader Revenue Systems team, Data Engineering, Go-To-Market teams, and executive leaders to translate commercial objectives into technical architectures. Skilled in communicating solutions effectively to stakeholders ranging from Marketing Executives to VP-level leadership. Our benefits and wellbeing package offers flexible benefits you can tailor to your own personal needs, including: • 25 days of holiday per year - with an option to buy/ sell up to 5 days, • Pension, Life Assurance and Income Protection Flexible benefits platform with options including Private Medical, Dental Insurance & Critical Illness, • Employee assistance programme, season ticket loans and cycle to work scheme, • Volunteering opportunities and charitable giving options, • Great learning and development opportunities. WGSN is the global authority on consumer trend forecasting. We help brands around the world create the right products at the right time for tomorrow’s consumer. The future is everything, it happens everywhere. WGSN is the world-leading forecaster because we track and analyse consumer behaviours, product innovation, design and creativity, everywhere. We utilise our global resources and intelligence to research, source and analyse quantitative and qualitative data to produce our forecasts. Everything we do is focused on working with our customers to create a successful and positive tomorrow. We source, review and assess quantitative and qualitative data to produce robust, actionable forecasts. To provide credible insights and design solutions for our clients, it is essential that rigour runs through everything we do. An inclusive culture is one of our key priorities. We want our people to truly be themselves and thrive. We love having a diverse team of people who bring new ideas, different strengths and perspectives & reflect the global audience we work with. We are committed to supporting the environment and sustainability, including ensuring our pension plan defaults to sustainable options and striving to be net zero by 2030. is a key part of our culture. Our Awards schemes recognise and reward the brilliant achievements of our people. We use AI to help our team screen applications and identify candidates whose skills and experience match the role. This technology removes personal information to promote a fair and unbiased process. We believe this tool helps us find the best talent while maintaining transparency and fairness. Thank you so much for your interest in working with us at WGSN! Our internal Talent Acquisition team takes care of all our recruitment efforts. When we need some extra help, we partner with agencies on our Preferred Supplier List (PSL) that truly understand our business, culture and ways of working together.Since we focus on these established partnerships, we’re unable to respond to unsolicited contacts or CVs from outside our PSL. But don’t worry! If we decide to explore new partnerships, we’ll be sure to reach out. We offer a flexible working environment with a wide range of flexible, hybrid and agile working arrangements. Conversations about flexible working have always been—and will continue to be—actively encouraged here, but we do not offer full remote working. We want to ensure everyone has the opportunity to perform their best when interviewing, so if you require any reasonable adjustments that would make you more comfortable during the process, please let us know so that we can do our best to support you. #J-18808-Ljbffr

Money sitting idle is money lost. We're fixing that. Founded in 2023 by Antoine and Paul-Adrien, Spiko gives businesses, non-profits, financial advisers, and fintechs access to institutional-grade cash management, via app or API. We are building the full infrastructure: issuing, operating, and distributing the products ourselves. Two years after launch, we serve thousands of organizations across Europe and process hundreds of millions of euros in flows every month. Our ambition: become the world's leading treasury management infrastructure in a market worth trillions. We are backed by Index Ventures, the CEO of Revolut, the founder of Kyriba, and the CTO of Wise. Spiko runs on excellence, transparency, and straight talk. Your mission is simple: supercharge Spiko with AI. We are looking for a senior engineer to join Spiko's tech team and take ownership of our AI and data initiatives. The role sits within the tech team and works with the whole company; the ambition is that you build the AI and data team around you as Spiko scales. • Embed AI into Spiko's product, to give the CFOs who use Spiko the smoothest cash management experience there is. For example: letting users automate their deposits and withdrawals, run operations in Spiko straight from a prompt, or point their own AI agents at a Spiko MCP server to query positions and perform deposits and withdrawals programmatically., • Empower every team to use AI in their day-to-day work, including legal, sales, marketing and ops. For instance, give our customer support AI-assisted drafting and answering., • Keep us at the state of the art in AI-assisted software engineering, owning the tooling, practices and infrastructure that make AI a force multiplier for the whole tech team., • Own our data platform, evolving and maintaining the analytics infrastructure (BigQuery, Datastream, Metabase, etc.) that makes production data accessible to non-technical teams, and supporting the data initiatives built on top of it., • Languages and frameworks: Typescript, NX, Effect, React, Tailwind, • Data & AI: BigQuery, Datastream, Metabase, LLM APIs and agent frameworks, • Infrastructure: Terraform, AWS, GCP, Kubernetes, Docker, PostgreSQL, • External services: Ory, Datadog Claude is deployed company-wide and all teams use it daily. A handful already run automated recurring workflows in production. Our product data has been queryable in plain language with Claude for almost a year, which means non-technical teams answer their own questions. You'll find a working base that needs an owner to take it to the next level. • You're a software or AI engineer with 5+ years of experience, • You're comfortable as an individual contributor as well as managing stakeholders both inside and outside the tech team, • You are very comfortable with cloud data infrastructure, • You have hands-on experience building with LLMs (agents, RAG, tool use, evaluation) and shipping AI features to production, not just prototypes, • You can operate autonomously with non-technical stakeholders: understanding a business team's workflow, scoping the right automation, and delivering it, • You are comfortable working in an English-speaking environment, • You are curious and eager to learn, with a problem-solving mindset, • You have experience taking ownership of a technical domain across a company (platform, data, or AI enablement roles), • You have worked with functional programming patterns (we use Effect heavily), • You have built and shipped an MCP server, or agent-facing APIs, • You have experience in capital markets, fintech or Web3, • You have worked on tech projects in highly regulated environments (e.g. fintech, regtech, healthtech, edtech, etc.), • Compensation: Competitive package depending on experience + Stock Options, • Offices: in central Paris & London, • Remote work: up to 2 days per week and one full remote week per month, • The best tech for your job: latest-generation laptops and industry-leading software, • Health insurance: 100% covered by Spiko, • Monthly Budget to cover different perks of choice, • Transport: 50% of public transport pass covered or the Forfait Mobilités Durables (FMD), • Referral Bonus, • Social life: regular afterworks and biannual offsites, • Hiring Manager Interview - 30 min with Nicolas, Tech Lead, • Product interview - 1h with a senior member of our product team (remote), • Coding & System design interview - 2h with two engineers from the team (in person, Paris), • AI enablement case - 1h with Victor, Chief of Staff (in person, Paris), • Final Interviews with the Founders (in person, Paris or London), • Reference Check - we'll reach out to your references to gather further insights, • Offer If something here doesn't match your résumé perfectly but you believe you'd thrive in this role, apply anyway. Tell us why. #J-18808-Ljbffr

Role: AI Commerce Search Sr. Engineer/Architect Location: London Level: Associate Manager Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. Within Song, our Commerce & AI practice helps organizations design, build, and scale modern digital commerce ecosystems - embedding Generative AI and Agentic AI into commerce to enable real-time personalization, autonomous merchandising, intelligent discovery, and customer engagement at scale. Visit us at: www.accenture.com/song AI is rewriting how people find and buy. Discovery is shifting from keyword search boxes to conversational, agent-mediated experiences - across both a brand's owned platforms and the AI surfaces where customers increasingly begin their journey. We are looking for a technically strong architect to lead the design and delivery of Google-powered AI commerce experiences - with intelligent, AI-native search and discovery at the core, extending across the wider set of on-platform agentic commerce use cases. You will work at the intersection of enterprise commerce platforms and Google's agentic AI stack - Vertex AI Search for Commerce, Gemini Enterprise (GECX), Google Cloud Agents, Vertex AI Agent Builder / ADK, and the Customer Engagement Suite - translating commerce strategy into production-grade, grounded, and commercially reliable AI systems. This role leans into Google Cloud AI platforms as the delivery foundation. Search and discovery is your anchor specialism, but your remit spans the broader on-platform agentic commerce agenda: conversational commerce, personalization, merchandising optimization, product knowledge and content, and the GEO / AI-native discoverability that determines whether a brand shows up accurately in LLM-mediated discovery. You are hands-on, technically rigorous, and comfortable owning the technical design of a solution workstream - making well-reasoned build-vs-buy decisions and translating complex architecture into clear recommendations for both engineering teams and senior client stakeholders. • Owning the technical design of AI-powered commerce search and discovery workstreams on Vertex AI Search for Commerce — relevance tuning, ranking, retrieval, merchandising controls, and query understanding — and ensuring the approach is scalable, grounded, and aligned to client constraints., • Designing broader on-platform agentic commerce experiences on Google's stack — conversational commerce, guided shopping, personalization and next-best-action, and merchandising optimization — using Gemini Enterprise (GECX), Google Cloud Agents, and Vertex AI Agent Builder / ADK., • Designing the knowledge and data architecture that underpins search and agent intelligence — structured product data, embedding pipelines, vector retrieval, semantic search, and RAG grounded on commerce-specific intent, product relationships, and category hierarchies., • Architecting integration between Google AI surfaces and the enterprise commerce stack - OMS, PIM, DAM, CRM, payments, and fulfilment — via APIs, event-driven patterns, and emerging agentic protocols (MCP, A2A, ACP)., • Leading GEO / AEO and AI-native discoverability design — structuring and exposing product content so brands remain visible, accurate, and preferred across AI-driven discovery surfaces., • Contributing to build-vs-buy decisions across Google AI platform services, LLM/model choices (incl. Model Garden), orchestration frameworks, and vector stores — with a well-reasoned technical point of view grounded in delivery experience., • Embedding AI governance, observability, and responsible AI into design as first-class concerns - audit logging, human-in-the-loop escalation, grounding/hallucination controls, brand safety, and performance monitoring., • Providing technical leadership to delivery teams — guiding engineers, reviewing technical decisions, and maintaining architectural coherence across the workstream lifecycle., • Leading technical workshops and architecture reviews with client stakeholders — presenting options with clear trade-offs, effort implications, and business outcomes for both technical and non-technical audiences., • Supporting the development of Accenture Song's AI commerce capability — contributing to reference architectures, accelerators, and points of view that advance our delivery standards., • :6 years of professional experience in technical architecture, solution engineering, or software engineering — with meaningful delivery across enterprise platforms and a growing specialism in AI and agentic systems., • Hands-on experience designing and delivering AI-powered search, discovery, or recommendation systems in production - relevance, ranking, retrieval, and query understanding., • Demonstrable, hands-on experience with Google Cloud AI platforms applied to commerce - one or more of Vertex AI Search for Commerce, Gemini Enterprise (GECX), Vertex AI Agent Builder / ADK, or the Customer Engagement Suite., • Hands-on experience with Generative AI and agentic systems - LLM-powered application design, retrieval-augmented generation (RAG), and at least one agent framework (e.g. LangGraph, LangChain, LlamaIndex, CrewAI)., • Experience designing and building data and context pipelines for AI systems -=embedding pipelines, vector databases, and semantic search over structured commerce data., • Hands-on delivery on at least one major enterprise commerce platform - such as Salesforce Commerce Cloud, Adobe Commerce, Commercetools, SAP Commerce, or a composable / MACH-aligned stack - and a solid understanding of how these integrate with surrounding enterprise systems., • Familiarity with emerging agentic commerce protocols - MCP, A2A, or ACP - and how they connect AI agents to commerce systems and product data., • Working knowledge of cloud-native services and CI/CD-based delivery (GCP preferred)., • Understanding of AI governance and responsible AI - observability, tracing, auditability, grounding, and guardrails in production AI systems., • Experience leading technical design sessions and presenting architecture options to senior client or stakeholder audiences., • Familiarity with GEO (Generative Engine Optimization) and AI-native search — how product data must be structured and exposed to remain visible and accurate in LLM-mediated discovery., • Experience with Google's broader agent ecosystem - Model Garden, Agent Engine, AgentOps, and grounding/RAG on enterprise data., • Hands-on AgentOps / LLMOps practices - production monitoring, model evaluation, tracing, and continuous improvement for deployed AI systems., • Exposure to composable commerce patterns - MACH principles, headless commerce, and API-first design - and how they enable flexible AI integration., • Experience contributing to technical proposals, reference architectures, or delivery accelerators in a consulting or professional services context. Our Total Rewards consist of a competitive basic salary, annual performance bonus, opportunities to acquire equity and a wide range of health and wellbeing benefits. These include perks such as: • Up to 30 days of leave to spend each year plus 3 extra volunteering days per year for charitable work of choice., • Family-friendly and flexible work policies., • Attractive pension plan with financial wellbeing support and resources., • Private healthcare insurance plan and Mental Wellbeing support., • Employee Assistance Programme, Career Development and Counselling., • A range of generous Parental Leave offerings. Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the outstanding services we are known for. Please note that with all our roles, you should expect some in-person time for collaboration, learning and building rapport with clients, peers, leaders and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. SNGCR01 #J-18808-Ljbffr