Live agent jobs in United Kingdom

NIGHT CONCIERGE \n\n • Rendall & Rittner • £29,000 - £30,000 • Discovery Dock West\n\n ROLE OVERVIEW / DEVELOPMENT DETAILS \n Join the overnight team at Discovery Dock West, a luxury residential development in the heart of Canary Wharf with around 200 apartments and first-class amenities including a concierge, gym, pool, spa and secure parking. You will be the calm, capable presence residents rely on through the night, keeping the lobby immaculate, managing access and safety, and supporting a community of busy professionals and families. With South Quay DLR, Canary Wharf Underground and the Elizabeth line close by, this is a well-connected, high-profile setting where service standards are uncompromising and every shift brings variety. Your schedule will be four nights on, four nights off, 19:00–07:00. \n ROLE EXPECTATIONS \n You will deliver warm, attentive front-of-house service while maintaining vigilant oversight of security, access and building standards throughout the night. You will manage the desk, monitor CCTV and conduct patrols, handle resident requests and issues, and complete thorough logs and handovers to the day team. \n WHAT SUCCESS LOOKS LIKE \n\n • Residents feel welcomed, safe and supported overnight, with prompt, courteous service at every interaction.\n, • The lobby and common areas remain spotless and tranquil, reflecting the development’s premium standards.\n, • CCTV monitoring, patrols and access control are consistent and proactive, preventing incidents before they occur.\n, • Accurate logs, reports and incident records are completed in real time and handed over clearly to daytime colleagues.\n, • Contractors, deliveries and parking are coordinated smoothly with minimal disruption to residents.\n, • Emergencies and complaints are de-escalated professionally, with clear communication and confident decision-making.\n\n HOW YOU'LL SPEND MOST OF YOUR TIME \n\n • Hosting the front desk: greeting residents and guests, managing keys, parcels and enquiries.\n, • Monitoring CCTV and completing scheduled patrols to ensure safety, security and building standards.\n, • Managing access control, parking and late deliveries, and arranging taxis or assistance when needed.\n, • Responding to issues in apartments and communal areas, escalating and coordinating contractors as required.\n, • Keeping detailed shift logs, incident reports and a comprehensive handover for the day team.\n, • Supporting the smooth running of amenities and ensuring house rules are upheld overnight.\n\n WHO THIS ROLE IS FOR \n\n • You are a night-focused professional with a calm, reassuring manner and impeccable personal presentation.\n, • You take pride in delivering thoughtful, people-first service and creating a welcoming environment.\n, • You are observant, discreet and security-aware, with sound judgement under pressure.\n, • You communicate clearly with diverse residents and colleagues and work reliably to a 4 on, 4 off night pattern.\n, • You are organised, proactive and comfortable using systems, radios and digital logs.\n\n EXPERIENCE THAT HELPS \n\n • Concierge, security or hotel front-of-house experience in a premium residential or hospitality setting.\n, • Confidence with CCTV, access control systems and incident reporting.\n, • Familiarity with building management software, handheld radios and digital shift logs.\n, • Exposure to fire safety, evacuation procedures or basic first aid.\n, • Knowledge of the Canary Wharf area and local transport connections.\n\n WHAT WE OFFER \n\n • 16 days holiday plus bank holidays\n, • Enrolment into the Rendall & Rittner pension scheme\n, • Employee assistance programme supporting family, health, money and work\n, • Employee referral scheme\n, • Team uniform* subject to development\n, • Fully funded training and development opportunities\n, • Access to discounts across travel, retail, fitness and entertainment\n\n ABOUT RENDALL & RITTNER \n 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. \n 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. \n HOW WE HIRE \n\n • Initial conversation with our talent team\n, • Interview focused on your approach to exceptional resident service, security awareness, scenario-based problem solving and clear communication during night shifts\n\n We aim to complete the process within two to three weeks and communicate clearly throughout. \n INTERESTED? \n Apply with your CV. \n All applicants must be eligible to live and work in the UK. Documentary evidence of eligibility will be required. \n Appointment is subject to a valid DBS check.

LEARNING AND DEVELOPMENT ADVISOR \n\n • Rendall & Rittner • Competitive • Hybrid - London (Battersea)\n\n ROLE OVERVIEW \n You will be a hands-on trainer and facilitator, delivering engaging learning for our frontline on-site teams and supporting head office induction. From customer service and collaborative working to role-specific essentials, you will run a blend of in-person workshops and live webinars, creating learning that is practical, interactive and immediately useful on the job. \n Based from home with an average of 2 to 3 days each week in London, you will plan and facilitate sessions, design new workshops, and partner with colleagues and subject matter experts to keep our learning offer fresh and relevant. Join us in a supportive L&D team that values energy, connection and continuous improvement. \n ROLE EXPECTATIONS \n Most days you will be facilitating group learning, either in person across our London sites or via live webinars, alongside preparing, refining and updating session materials. You will collaborate closely with the L&D team and operational stakeholders, tailoring content to audience needs and keeping recurring topics engaging and energised. \n WHAT SUCCESS LOOKS LIKE \n\n • You deliver consistently engaging workshops and webinars that earn strong feedback and lead to on-the-job application.\n, • You keep recurring topics fresh with varied activities, scenarios and examples that resonate with different audiences.\n, • You design clear, practical learning sessions and resources that colleagues can reuse and that align to team standards.\n, • You manage a London-based delivery schedule smoothly, balancing travel, prep and delivery across busy periods.\n, • You build trusted relationships with on-site leaders, head office teams and subject matter experts to inform content.\n, • You collaborate with the L&D team to cover each other’s sessions and maintain a cohesive, high-quality learning offer.\n\n HOW YOU'LL SPEND MOST OF YOUR TIME \n\n • Facilitating in-person workshops across London sites and delivering live webinars for dispersed teams.\n, • Planning and refining session content, activities and resources to suit different roles and experience levels.\n, • Shadowing and co-delivering existing sessions during onboarding, then taking ownership of allocated topics.\n, • Designing new workshops and webinars, including session plans, slides and facilitator guides.\n, • Coordinating schedules, venues and logistics, and managing attendance, feedback and follow-up actions.\n, • Supporting head office induction and contributing to learning for property management teams and emerging leaders.\n\n WHO THIS ROLE IS FOR \n\n • You are an engaging facilitator who enjoys meeting people, building rapport and energising group sessions.\n, • You are equally confident online and in person, tailoring delivery to audience needs and context.\n, • You bring a positive, solutions-focused approach and keep recurring content fresh with new angles and activities.\n, • You are organised and self-driven, balancing travel, delivery and preparation across a varied schedule.\n, • You are curious, collaborative and comfortable working with different stakeholders to shape practical learning.\n\n EXPERIENCE THAT HELPS \n\n • Experience delivering frontline or customer-facing training in sectors like property, facilities, hospitality or retail.\n, • Designing interactive workshops and webinars with clear learning outcomes and practical takeaways.\n, • Using virtual platforms and learning tools to create engaging online sessions and assets.\n, • Working with an LMS to coordinate mandated and optional learning and track participation and feedback.\n, • Refreshing recurring programmes to maintain engagement and relevance across different cohorts.\n\n WHAT WE OFFER \n\n • Competitive salary\n, • Discretionary bonus\n, • 25 days holiday plus bank holidays, with the option to buy or sell holiday\n, • Salary sacrifice scheme\n, • Private healthcare (subject to seniority or 3 years' service), life assurance\n, • Telus Health wellbeing platform\n, • Free eye tests and Cycle to Work scheme\n, • Enhanced maternity and paternity pay (service-dependent)\n, • Fully funded training and professional development\n, • Long service reward, from 5 years' service\n, • Employee referral scheme, up to £1,500\n, • Staff social events\n\n ABOUT RENDALL & RITTNER \n 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. \n 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. \n HOW WE HIRE \n\n • Initial conversation with our talent team\n, • Interview focused on competency-based questions around facilitation experience, session design, stakeholder collaboration and delivery impact, followed by a short interactive session (typically via Teams)\n\n We aim to complete the process within two to three weeks and communicate clearly throughout. \n INTERESTED? \n Apply with your CV. \n All applicants must be eligible to live and work in the UK. Documentary evidence of eligibility will be required. \n Appointment is subject to a valid DBS check.

About the Role: Grade Level (for internal use): 13\n The Team: The Post Trade Sales Specialist will join S&P Global Market Intelligence’s EMEA commercial organization, working closely with regional sales colleagues and specialists across Product, Presales, Marketing, Operations and Customer Success. The team brings together deep market expertise and a collaborative, client-focused approach to help financial institutions modernize critical post-trade workflows. This role will support growth across Corporate Actions Pro, Corporate Actions Core, Managed Corporate Actions and Agent Validation Service. It requires a senior sales professional who can provide strategic perspective, mobilize complex stakeholder groups and help colleagues navigate significant commercial opportunities. The Impact:\n You will have a direct impact on the growth of our post-trade business by originating new relationships, building a high-quality pipeline and closing strategic opportunities across EMEA. Your clients and prospects will include asset managers, hedge funds, custodians, investment banks, market infrastructure providers and other financial-market participants. Operating as a senior commercial specialist, you will engage decision-makers across operations, technology, data, risk and executive leadership. You will connect changing client priorities and market trends with our capabilities, influence go-to-market strategy and identify innovative approaches that strengthen our competitive position and deliver sustainable revenue growth. What’s in it for You:\n Take ownership of a strategically important EMEA growth mandate and lead complex opportunities from initial market engagement through commercial negotiation and close. Develop trusted relationships with senior decision-makers and C-level executives at leading financial institutions, positioning S&P Global Market Intelligence as a strategic partner. Work with an integrated international team across Sales, Product, Presales, Marketing, Operations and Customer Success, gaining broad exposure to our post-trade capabilities and regional growth priorities. Shape go-to-market plans by bringing client insight, competitive intelligence and a forward-looking perspective to product positioning and market-expansion decisions. Play a visible leadership role by sharing expertise, coaching colleagues and supporting the development of commercial capability across the wider team. Responsibilities:\n\n • Originate new business and create a sustainable, well-qualified EMEA pipeline for Corporate Actions Pro, Corporate Actions Core, Managed Corporate Actions and Agent Validation Service, with clear accountability for achieving ambitious revenue targets.\n, • Develop and execute strategic territory and opportunity plans covering asset managers, hedge funds, custodians, investment banks, market infrastructure providers and other priority financial-market participants.\n, • Lead complex enterprise sales cycles from prospecting and discovery through solution development, business-case creation, commercial negotiation and close.\n, • Build consensus among stakeholders across operations, technology, data, risk, procurement and executive leadership.\n, • Coordinate Product, Presales, Marketing, Operations and Customer Success throughout the sales process, setting a clear pursuit strategy, aligning competing priorities and ensuring a consistent and compelling client proposition.\n, • Maintain accurate opportunity, pipeline and forecast information in Salesforce, using data and commercial judgment to prioritize activity, improve conversion and support revenue growth.\n, • Monitor market trends, competitive activity and evolving client requirements, and use these insights to inform account strategies, client conversations and go-to-market plans.\n, • Represent the business at client meetings, conferences and industry events, communicating the value of our post-trade solutions to senior audiences.\n, • Contribute to go-to-market strategy, market-expansion initiatives and overall sales performance by identifying emerging client needs, challenging established approaches and promoting innovation.\n, • Share market intelligence, coach colleagues and provide constructive guidance on complex opportunities.\n, • All employees are required to work from the office a minimum of 2 days per week.\nWhat We’re Looking For:Basic Required Qualifications:\n An S&P Global employee at this level would typically have 10 + years experience selling complex data, software, SaaS, workflow or managed-service solutions to asset managers, hedge funds, custodians, investment banks or market infrastructure providers. This experience should include a consistent record of originating new business, creating pipeline, managing complex enterprise sales cycles and closing material strategic opportunities. Proven experience selling to financial‑services organizations across EMEA, with a strong understanding of capital markets and the operating models of asset managers, hedge funds, custodians, investment banks or market infrastructure providers. Demonstrated success in originating and closing new business, consistently achieving or exceeding revenue targets and converting strategic opportunities into sustainable revenue growth. Demonstrated ability to engage and influence senior decision-makers and C-level executives, build trusted relationships and align diverse stakeholders around a compelling commercial and operational business case. Strong commercial judgment and strategic perspective, with the ability to assess market dynamics, prioritize high‑value opportunities, navigate ambiguity and make sound decisions throughout lengthy and complex sales cycles. Excellent communication, presentation and negotiation skills, including the ability to translate complex data, technology and workflow capabilities into clear client outcomes and measurable business value. Proven ability to operate collaboratively across functions and geographies while retaining personal accountability for pipeline quality, sales execution, forecasting accuracy and revenue delivery. A leadership and coaching orientation, with the ability to share expertise, support colleagues, encourage innovative thinking and raise commercial standards across the wider team. Bachelor’s degree or equivalent experience. Fluent English language skills. We require all candidates who reach the final stage of our interview process to attend at least one in‑person interview, which is ordinarily at your nearest S&P Global office. This must be completed before we can proceed to an offer. Additional Preferred Qualifications:\n\n • Knowledge of corporate actions, securities processing, reference data, post-trade operations or the operating models used by major financial institutions.\n, • Experience selling corporate actions solutions, managed services, workflow transformation or technology‑enabled operational solutions.\n, • Understanding of operational transformation, automation, data quality and risk management initiatives within financial institutions.\n, • An established network across EMEA financial markets and evidence of successfully opening new relationships within complex enterprise accounts.\n, • Experience contributing to regional go-to-market planning, proposition development, market expansion or product strategy through structured client and competitive insight.\n, • Ability to represent the organization credibly at industry events, executive meetings and other senior external forums.\n, • Additional European language capabilities, particularly German, Spanish or Italian.\n, • Experience working with cross‑functional and international teams in a fast‑paced environment.\nAbout S&P Global Market Intelligence\n At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit www.spglobal.com/marketintelligence. What’s In It For You?\n Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values:\n Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits:\n\n • Health & Wellness: Health care coverage designed for the mind and body.\n, • Flexible Downtime: Generous time off helps keep you energized for your time on.\n, • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.\n, • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company‑matched student loan contribution, and financial wellness programs.\n, • Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best‑in‑class benefits for families.\n, • Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries\nGlobal Hiring and Opportunity at S&P Global:\n At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Equal Opportunity Employer\n S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to:EEO.Compliance@spglobal.comand your request will be forwarded to the appropriate person. US Candidates Only: Know Your Rights: Workplace discrimination is illegal #J-18808-Ljbffr

Project Manager Construction Consultancy Location: South East London Salary: £70,000–£85,000 + Benefits Hybrid / Flexible Working This is an opportunity to join a market-leading property and construction consultancy with an excellent reputation in residential development, working on some genuinely substantial housing and regeneration projects across London and the South East. The business has an established Project Management and Employer's Agent team acting for Housing Associations, Local Authorities and other residential clients across new-build affordable housing, S106 developments, land-led schemes, mixed-tenure development and major regeneration programmes. The workload is significant and varied. Projects Current and recent projects within the team include: A major £100m+ residential regeneration programme being delivered in phases across a number of residential blocks under a Development Agreement. A circa £50m mixed-use residential development being delivered through a partnership between a Local Authority and private developer. A major regeneration scheme with a construction value in excess of £40m, involving the management and monitoring of quality, programme and budget. A circa £15m development of shared ownership and affordable rented homes. A range of other residential developments across London and the South East, typically valued between £10m and £30m, including mixed-tenure schemes comprising several hundred homes. They are now looking for an experienced Project Manager to join the team. The Role You'll take responsibility for your own portfolio of residential developments, working across both pre-construction and live projects and seeing schemes through to completion. The role will include: Project managing major new-build residential developments. Programming, planning and managing projects through to completion. Working with JCT Design & Build contracts and Development Agreements. Reviewing drawings, specifications and contract information. Chairing project and progress meetings. Coordinating clients, contractors, consultants and wider project teams. Monitoring construction progress, quality, programme, budget and risk. Undertaking site visits and reporting throughout the construction phase. Reviewing valuations and project financial information. Managing risks across pre-construction and live projects. Pre-construction work and input into bids and new project opportunities. Providing technical and project advice to clients throughout the development process. Working closely with established Housing Association, Local Authority and residential development clients. At the more senior end there will also be opportunities to mentor junior members of the team, provide project support across the wider team and become increasingly involved with clients and business development. About You I'm interested in speaking with experienced Project Managers who have worked on residential development projects. You are likely to have experience of: Client-side Project Management New-build residential development Affordable housing, S106, land-led or regeneration projects JCT Design & Build contracts Development Agreements Pre and post-contract project delivery Programme and risk management Managing contractors and consultant teams Working directly with clients and other key stakeholders You may currently be working for another multidisciplinary consultancy, specialist residential consultancy or project management practice. I'm also interested in people currently working as Employer's Agents where the underlying experience is project management led. The important thing is having the experience and confidence to take responsibility for residential projects and run them properly. The Opportunity This is an established and highly regarded consultancy rather than a business trying to build a residential offering from scratch. There is a strong pipeline of work, experienced people around you and projects ranging from conventional residential developments through to major £100m+ regeneration programmes. The business offers hybrid and flexible working, with the flexibility to balance office working with home working, client meetings and time on site. Package £70,000–£85,000 basic salary + benefits. There is flexibility depending on experience and potentially scope to appoint at a more senior level for somebody operating above the normal Project Manager level. Apply Click Apply or get in touch for a confidential conversation with Andrew Pearson at EC Property Recruitment. My contact number is (phone number removed) and you can find all my details on LinkedIn

A versatile and growing construction consultancy based in Central London is currently seeking an ambitious Assistant Quantity Surveyor to join their expanding commercial team. With a strong pipeline of residential, mixed-use and commercial schemes across London and the South East, this consultancy provides high-quality cost management and advisory services to a diverse client base. This is a client-facing, consultancy-side opportunity, ideal for an Assistant Quantity Surveyor looking to gain broad project exposure while developing strong technical and professional foundations. The Assistant Quantity Surveyor Role The successful Assistant Quantity Surveyor will support Senior Quantity Surveyors in delivering projects from early feasibility through to final account. The Assistant Quantity Surveyor will assist with cost planning, procurement and contract administration, while gaining valuable experience across both pre- and post-contract stages. Working closely with clients, contractors and design teams, the Assistant Quantity Surveyor will contribute to accurate cost reporting, effective change control and transparent financial management. This Assistant Quantity Surveyor position offers structured APC support and a clear pathway towards Quantity Surveyor and Senior Quantity Surveyor level. Assistant Quantity Surveyor - Key Responsibilities Assist in preparing cost plans, budgets and feasibility estimates Support tender documentation, analysis and procurement processes Assist with cost reporting, valuations and variation assessments Support contract administration under JCT forms of contract Attend site visits and client meetings Maintain accurate project records and financial documentation Provide commercial support across multiple live projectsAssistant Quantity Surveyor - Candidate Requirements 1-4 years' experience in a Quantity Surveying role, ideally within consultancy Experience on residential or commercial projects desirable Understanding of pre- and post-contract duties Familiarity with JCT contracts RICS accredited degree in Quantity Surveying or Commercial Management Working towards APC / MRICS or keen to enrol Strong numerical, organisational and communication skillsIn Return Salary of £35,000 - £45,000 (depending on experience) 25 days annual leave + bank holidays Pension scheme Hybrid and flexible working options Full APC support and ongoing CPD * Clear long-term progression within a supportive consultancy team If you are a Quantity Surveyor considering your career opportunities, then please contact Dan McEvoy at Brandon James. (phone number removed) Reference #DM21457 Quantity Surveyor / Project Manager / Project Management / Employers Agent / Surveying / Construction / Building Surveyor / MRICS / MICOB / MAPM / FRICS / Contract Administration / Associate Director / Construction Consultancy

Employer's Agent – Residential Development Location: South East London Salary: £65,000–£85,000 + Benefits Hybrid / Flexible Working This is an opportunity to join a market-leading property and construction consultancy with an excellent reputation in residential development, working on some genuinely substantial housing and regeneration projects across London and the South East. The business has an established Employer's Agent and Project Management team acting for Housing Associations, Local Authorities and other residential clients across new-build affordable housing, S106 developments, land-led schemes, mixed-tenure development and major regeneration programmes. The workload is significant and varied. Projects Current and recent projects within the team include: A major residential regeneration programme valued at over £100m, delivered in phases across five residential blocks under a Development Agreement. A circa £60m mixed-use development comprising three blocks, delivered through a partnership between a Local Authority and private developer. A circa £50m regeneration project, providing Employer's Agent and Clerk of Works services and monitoring quality, programme and budget. A circa £20m affordable housing development comprising shared ownership and affordable rented homes. Multiple residential developments across London and the South East in the £10m–£20m range, including mixed-tenure schemes of 250+ homes. They are now looking for an experienced Employer's Agent to join the team. The Role You'll take responsibility for your own portfolio of residential developments, working across both pre-construction and live projects and seeing schemes through to completion. The role will include: Acting as Employer's Agent on major new-build residential developments. Working with JCT Design & Build contracts and Development Agreements. Programming, planning and managing projects through to completion. Reviewing drawings, specifications and contract information. Chairing project and progress meetings. Coordinating clients, contractors, consultants and wider project teams. Monitoring construction progress, quality, programme and risk. Site visits and reporting throughout the construction phase. Reviewing valuations and administering the appropriate certificates and notices. Pre-construction work and input into bids and new project opportunities. Providing technical advice to clients throughout the development process. Working closely with established Housing Association, Local Authority and residential development clients. At the more senior end there will also be opportunities to mentor junior members of the team, provide technical support and become increasingly involved with clients and the wider development of the service. About You I'm interested in speaking with experienced Employer's Agents and Project Managers who have worked on residential development projects. You are likely to have experience of: Employer's Agent / client-side Project Management New-build residential development Affordable housing, S106, land-led or regeneration projects JCT Design & Build contracts Development Agreements Pre and post-contract project delivery Managing contractors and consultant teams Working directly with clients and other key stakeholders You may currently be working for another multidisciplinary consultancy, specialist residential consultancy or project management practice. The important thing is having the experience and confidence to take responsibility for residential projects and run them properly. The Opportunity This is an established and highly regarded consultancy rather than a business trying to build a residential offering from scratch. There is a strong pipeline of work, experienced people around you and projects ranging from conventional residential developments through to £50m–£100m+ regeneration programmes. The business offers hybrid and flexible working, with the flexibility to balance office working with home working, client meetings and time on site. Package £65,000–£85,000 basic salary + benefits. There is flexibility depending on experience and potentially scope to appoint at Associate level for somebody operating above the normal Senior Employer's Agent level. Apply Click Apply or get in touch for a confidential conversation with Andrew Pearson at EC Property Recruitment. My contact number is (phone number removed) and you can find all my details on LinkedIn

Be responsible for booking scheduling and coordinating artists performances. Communicate with clients, from point of booking to the show date. Maintain a database of contacts and clients to facilitate future bookings.

Pharosyn is working with some of the world’s largest pharma companies to rebuild how the entire industry makes decisions. Our mission is to optimize decision‑making in pharma by automating consultant‑heavy workflows in market research, forecasting and portfolio strategy. This represents a $100B market. We build high‑agency pods of engineers and ex‑consultants to quickly build scalable agentic systems for each workflow. We are VC‑backed, and are adding 6‑figure expansions every month. The role This is a forward‑deployed role. You will sit with client teams, understand their workflows in depth, and build the systems that do the work. You are the primary technical counterpart to senior client stakeholders, owning each deployment from scoping to go‑live. You will set technical direction rather than inherit it. Growth means taking on entirely new departments. You take on a new client department with one or two supporting engineers and a domain expert with years of industry experience. You figure out what to build, then build it, with full authority over architecture, stack, and agent design. And what you build becomes product: the agents, workflows, and triggers you create for one client become the primitives we deploy for the next. In a given week you might build an ingestion pipeline for a European regulator, run a working session with a client team, tune an agent's harness against live output, and ship a feature end‑to‑end from ingestion to UI. Our stack today is Next.js and TypeScript, Python with FastAPI, and Postgres, with frontier models throughout; where it goes next is your call. You will thrive if you • Have been a forward deployed engineer, founding engineer, or technical founder at a strong scale‑up/startup B2B SaaS or AI company, with 3+ years in production teams, • Have taken undefined user problems and shipped software for them with no product manager, • Have built, evaluated, deployed, and iterated AI agents in production, and keep up with new techniques, • Work fast, with little supervision, and do not drop problems before they are solved, • Want to go deep on the domain (a life sciences background helps but is not required) Who we are Founded by 2 top‑5% Cambridge University graduates in biochemistry and AI research. We have experience building AI for big pharma, scaling engineering teams to 8‑figure revenue, and building foundational ML for VC‑backed neurotech. On the team we have a former commercial lead of a major incumbent with over 20 years working with pharma strategy teams, and our team is doubling every 2 months. We get obsessed with the domain and maximize our individual leverage with AI. • High London engineering salary plus founding equity, • Unlimited AI coding credits, with scope to add tools that benefit the whole team, • In‑person Soho office with whatever setup makes you fastest (new MacBook as standard), • Greenfield projects for real clients, where technical decisions are yours, • Personal company card with budget for dinners, learning materials, and anything work related #J-18808-Ljbffr

London, UK (Monument – 3 days in person) Next.js, TypeScript, Tailwind, Supabase, LangGraph, AI Agents £90,000–£130,000 + EMI options (flexible for exceptional candidates) Versey is a modern writing editor, and a thinking partner for serious writers. It was designed in collaboration with over 50 writers including the Director of teaching at Newmark School of Journalism. We don't believe AI should think and write for you, but help you explore ideas, research and think. Our app is a minimalist, local-first editor with an integrated AI agent that is only ever a few keystrokes away - think Cursor, but for writing. We are a small London-based team. Our team was among Focal's 2024 top 1% of European startups and has been recognised by the Europa awards as one of the 100 hottest startups. The same team previously built the high-craft feedback tool workflow.design . Our founder has two prior exits, inc. 1 acquisition and 1 sale to PE, having built one of the largest on-demand platforms in the UK. We've raised a $3m pre-seed. Venrex (Revolut, JustEat), 8VC (Asana), Form Venture, Tiny Supercomputer, Kima Ventures, Combination Ventures, Circle & Co, Better Angle. Sequoia, Index, A16z, Octopus. Pareto20, Channel 4 Ventures, ex-Managing Director Google UK, Managing Partner at London's leading applied AI fund Forward Partners. We aim to stay competitive in terms of work-rate with leading SF-based startups. We skew towards experienced generalists, we're not well-suited for long ramp-ups or learning on the job. You should care about great writing, fiction, non-fiction, essays, whatever gets you going. We want people who communicate clearly, read the room (high emotional intelligence), and are a pleasure to build alongside. We expect to stay a small team. • Build a beautifully crafted, high-performance writing space you can be proud of - and use., • Solve a range of problems across syncing, local-first, high reliability, live collaboration amongst humans and AI, and agent orchestration., • Contribute to agentic workflows built with LangGraph and modern reasoning models, • Define and ship features end-to-end, from idea to production, • Speak to customers and use our analytics to help make product decisions, • Design and implement AI-native editor interactions (inline suggestions, version tracking, structured "Skills"), • Join an early team - influencing product, engineering culture and company direction, • Have time for writing yourself You'll likely recognise yourself in the following: • Strong product instincts and design sensibilities, • Care deeply about interaction quality and craft - a fan of tools like Linear, Notion and Superhuman., • Interested in generative AI and how to integrate it responsibly An exceptional candidate might have: • Done some writing before - blogs, essays, • Experience with text editing interfaces such as ProseMirror and Tiptap, • Experience with local-first, • Experience with LLMs and agentic systems or orchestration frameworks in production Next.js 16+, TypeScript, Tailwind v4 LangGraph Vercel #J-18808-Ljbffr

People on the move deserve a bank that moves with them. Since 2022, Aspora has been building a borderless financial operating system that makes money as mobile and transparent as its users. Backed by influential venture capitalists like Sequoia Capital, Greylock Partners, Hummingbird Ventures, Y Combinator & Global Founders Capital. We're a team of 150+ across India, the UK, the UAE, EU and the US, working with extreme ownership, radical candour, and an obsession with customer impact. We celebrate builders who question assumptions, ship fast, and turn regulatory complexity into elegant solutions. If you’re driven to redefine what global banking can be, we’d love to build the future with you. People build lives across borders, and Aspora moves their money with them. Aisha is our next bet: an AI finance agent for NRIs that does the work end to end. Most agent companies build the intelligence and hope the rails come later. We already have the rails. This role exists to build the intelligence NRIs will trust with real money. You will own Aisha completely: product, roadmap, team and results. You’ll report directly to our CEO. You’ll work closely with compliance, legal and our payments teams across the UAE, UK and India. The hard calls are yours: what to build, buy or partner on, and when the agent is ready to act. To you, an AI agent is only worth building if it finishes the job. You’ve built consumer products people rely on every day, and you’ve shipped AI that holds up in the real world. • You’ve built consumer before. You founded or ran a product people used daily, and you know what users forgive and what loses their trust for good., • You’ve shipped AI that works in production. You have operated evals, orchestration, tool use and failure modes yourself, not just read about them., • You bring money-grade judgement. You’ve worked where mistakes move other people’s money, or you can show you learn regulated domains fast., • You lead by doing. You stay close enough to the product and the code to make the call yourself., • You’ve moved quickly everywhere you’ve been. Your track record shows people kept trusting you with more, sooner than expected., • You’ve been tested. A failed launch, a company that died or a regulatory wall. You made sound calls under pressure and followed through to the end. Most importantly, you want to prove that AI can be trusted with people’s money. This role comes with a founder’s mandate, inside a company that already has licences, partners and customers. • Own Aisha end to end. Take it from early build to a product NRIs trust with real money tasks., • Shape the agent stack. Decide what to build, buy or partner on across models, orchestration, data connections and agent payment rails., • Make reliability the product. Build an agent that completes long, multi-step tasks, with evals, guardrails and failure modes treated as core features., • Ship consumer-grade experiences. Own onboarding, activation and retention, starting with a hundred research sessions a week that you recruit yourself., • Build the founding team. Hire senior engineers first, then add design and data as the product earns them., • Act safely on licensed rails. Partner with compliance and legal so the agent can move money without ever becoming the incident. What you build will decide how far Aspora goes beyond payments, and how fast we get there. • You’ll define what a trustworthy AI finance agent looks like, and own the outcome it delivers., • You’ll work directly with our CEO, with compliance, legal and payments as partners from day one., • You’ll build on licences, bank partnerships and live corridors that most agent startups spend years chasing., • You’ll own product, roadmap, team and results from the day you join., • Competitive salary, comprehensive benefits, and ESOPs aligned with Aspora’s long-term vision. #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

Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Mistral is building a sovereign AI cloud for Europe. Our customers in finance, healthcare, and the public sector run frontier models on European-jurisdiction infrastructure, and the Cloud Platform team builds the systems that make that possible - compute orchestration, Kubernetes, bare metal, storage, networking, and the datacenter fleet that runs it all. We run it all on our own metal, our own network, our own datacenters - which means when something breaks, the fix is ours to write. European Compute Units let enterprises commit to multi-year capacity on that infrastructure, and we are scaling toward a gigawatt of compute across Europe by 2030. You will design and ship the layer every sovereign AI deployment depends on and shape the team building it. This is a people-leadership role from day one. You will manage the team - hiring, coaching, performance, growth paths, honest feedback - while staying close to the code: roughly half your time in architecture decisions and the hardest technical problems the team faces, the other half leading your squad. If you are looking for a senior IC role, this is not it. AI agents don't run in browsers. They run in sandboxes - and you will lead the team building ours. We build secure, isolated, network-controlled environments with snapshotting primitives, designed for AI agents and reinforcement-learning workloads. An RL training run doesn't need one environment; it needs thousands, created and destroyed every second. An agent needs to sandboxed from the world while still feeling fast enough to be useful. That tension - airtight isolation, at fleet scale, at low latency - is the product. Your customers are the people building the next generation of AI software on our infrastructure; the primitives you ship become the runtime their agents live in. • Build the isolation layer: microVMs or containers, namespaces, cgroups, seccomp, snapshot and restore., • Own the security boundary. Customers run code they didn't write and can't fully trust - your systems make that safe., • Scale to fleets: creation latency, density, and lifecycle management for thousands of concurrent environments., • Write Go alongside your team and own the architecture and the hardest implementation decisions., • Grow the engineers, not just the software - set the standard for ownership and coach people past their comfort zone., • Own people management for the team: hiring, performance, growth paths, and honest feedback., • Partner with Product Managers to turn frontier research needs into shippable primitives., • 2+ years of real people leadership. You have managed engineers - hired, coached, given honest feedback, and grown them. Hands-on contribution matters here, but this role is judged on the team you build and lead, not just the code you write., • Deep Linux internals: namespaces, cgroups, seccomp, virtualization - ideally microVMs of the Firecracker class., • You have shipped production systems in Go. Not dabbled. Shipped., • You understand network isolation at the packet level - not just firewall rules., • Performance instincts: you know what a syscall costs, and you have the profiles to prove you've cared., • 8+ years building backend or infrastructure systems., • You have partnered with product, design, and business teams to ship software that reached real users., • A low-ego, team-first mindset. We care less about your exact domain and more about whether you are the kind of technical force other engineers want to work alongside. We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page. Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy. #J-18808-Ljbffr

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. Your Role 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. • 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, • 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, • 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 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. Our dynamic, hybrid‑friendly culture 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’ll 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. At Kyndryl, we achieve progress the world depends on, with purpose. Beginning with the purpose that matters to you. Because here, you will be part of a culture designed with purpose. One that is restless, empathetic and devoted. Where we are committed to sustainable progress for our customers and supporting the communities where we work and live. All of you is what we want. And what we need. Join us, and together, we can advance the vital systems that power human progress. #J-18808-Ljbffr

At Enablis, we deliver complex, high-impact technology transformation. We're now building a genuinely AI-native consultancy, not just experimenting, but embedding AI into how we deliver, how we operate, and how we grow. We already have a live internal AI platform in development and a growing client pipeline. This hire will play a key part in taking that capability forward. The Role This is a hands-on AI Engineering role at Consultant level. You'll work alongside our CTO and engineering leadership, contributing to our internal AI platform and helping build AI solutions for client projects. What You'll Be Doing • Contributing to the development of our internal AI platform, • Building AI-powered client solutions: RAG pipelines, agent architectures, LLM integrations, protocol-driven tooling, • Helping design internal AI tooling to accelerate delivery, • Supporting our upskilling programme with technical AI knowledge-sharing, • Keeping across emerging AI tools, frameworks and protocols, • Helping drive pragmatic AI adoption across engineering teams What We're Looking For • Strong software engineering foundations (clean code, testing, CI/CD, production mindset), • Hands-on experience with LLMs - this can come from personal projects, not just professional work (API integrations, prompt engineering, agent workflows, RAG systems), • Proficiency in 2+ modern programming languages, • Awareness of evolving AI tooling (MCP, A2A, or similar), • Some consultancy or client-facing experience, or a strong interest in moving into it, • Vector databases, embeddings, fine-tuning, • Cloud experience (AWS preferred)Open-source contributions or visible AI side projects, • Experience shipping AI-powered features to production This is not a research role. We're looking for builders. If you want to help shape a consultancy that's genuinely transforming around AI - we'd love to speak. #J-18808-Ljbffr

Cavendish Professionals is seeking a Forward Deployed Engineer for a permanent role in London. You will lead deployments from discovery to go-live, map business workflows for automation, and design agentic AI workflows interfacing with enterprise systems. The role requires 5+ years in FDE/AI engineering, hands-on experience with LLMs and agent frameworks, and strong software skills (Python, JavaScript, SQL). #J-18808-Ljbffr

Reed.ai is looking for a Senior Engineer (Agentic Developer) to join their team in Holborn, London. Join a collaborative, forward-thinking team that values creativity, experimentation, and impact—and help redefine the future of recruitment through intelligent, human-centered technology. Reed.ai is building its recruitment platform using an AI-agent-first way of working. Coding agents do most of the typing; engineers are responsible for what gets built, why, and whether it is good enough to deploy. The platform was built this way from the start with agent fleets working in evidence-gated waves under human direction and it has now launched its product to the market. You'll join a startup-style venture backed by the strength of an established business, at the moment delivery is shifting from a contracted build team to a permanent in-house core: the ways of working you help set now are the ones the platform scales on. We're looking for a senior engineer who has made the shift already. You will turn product intent into clear specifications. You will direct and coordinate coding agents across the stack. You will design the tests, evaluations and review gates that keep quality high. And you will be fully accountable for every line that reaches production, whoever, or whatever, written it. You'll write less code than in a traditional senior role and read far more. Success is measured by the outcomes you deliver, how reliable and safe the platform is, and how much the team's agentic workflow improves over time. Lines committed is not a measure we use. • Spec-first. Product intent arrives as a brief; work starts by writing the implementable specification and playing it back in plain language before build. The specification is the means of production, its precision sets the ceiling on what the agents can safely build., • Evidence-gated. Work ships when its gate proves green, tests passing on enforcing infrastructure, invariants held, migrations verified — not when someone asserts it. Work that cannot prove its gate reverts itself; a clean tree is a passing outcome., • Discernment. AI output is a claim, not a fact, a draft until a named human can defend its content without the tool. Fluent and plausible is not the same as correct, and passing output onward at face value is the failure mode we guard against hardest., • Drift-aware. The codebase moves faster than any document describing it. Verifying against the live repository is step one of every task; divergence between the signed-off spec and the code is a defect, even when the drifted version is nicer., • Communicating constantly. Shared surfaces are claimed before they're touched, coordination notes travel inside pull requests, and the daily standup ends with what did I change that someone else's brief still assumes?, • Translate product requirements into testable specifications and tasks, then plan and supervise coding agents across the full stack., • Maintain context packs, repository guidance and decision records to support consistent agent output, writing code directly where needed., • Define acceptance criteria and independent tests before generation, keeping security controls enabled throughout verification., • Review agent-generated code for correctness, security and architectural fit, and maintain automated quality gates in CI/CD., • Evaluate AI features for matching accuracy, regressions, adversarial cases, bias and fairness across candidate groups., • Maintain coherent architecture, restrict agent access and uphold security, privacy, UK GDPR and applicable recruitment AI obligations., • Improve agentic workflows, assess new tools and models, and mentor engineers in spec-first, agent-driven development., • Collaborate with product, design and customer experience to test hypotheses and deliver weekly releases behind feature flags., • Substantial commercial engineering experience at senior or lead level, building and running production SaaS systems., • Hands-on delivery using AI coding agents such as Claude Code, Cursor or Codex, with evidence of effective workflows, failures caught and results achieved., • Strong critical code-review skills and clear written communication to produce precise specifications for agents., • Strong PostgreSQL, relational design, REST API and cloud-native fundamentals (AWS preferred), with depth in at least two of Go, Python and TypeScript., • Experience in automated testing, CI/CD, DevOps and live database migrations, alongside a working understanding of security, data protection and GDPR., • Desirable: experience building or evaluating LLM features, including retrieval, embeddings, vector search, agent orchestration and evaluation frameworks., • Desirable: experience with OpenSearch/Elasticsearch, Docker, Kubernetes or event-driven architecture, plus front-end performance and accessibility., • Desirable: recruitment, HR technology or matching-system knowledge, and experience in startups or new ventures within larger organisations., • Hybrid working as standard, • 25 days annual leave plus bank holidays, • Flexible holiday scheme, • Paid time off to move home, • Contributory pension scheme, • Enhanced family leave benefits, • Insurance benefits including life assurance, • Love Mondays events, • Discount scheme including gyms and popular retailers, • Range of wellbeing and mental health support avenues, • Office in a fantastic location, with countless bars, restaurants and theatres right on the doorstep. #J-18808-Ljbffr

Help us use technology to make a big green dent in the universe! Kraken powers some of the most innovative global developments in energy. We create the technology that redefines utilities and unlocks a new energy system of the future. By optimising renewable generation, building a more intelligent grid, and empowering utilities to deliver an exceptional customer experience, our operating system is transforming the industry worldwide. It’s an incredibly exciting time to work in energy. Join us on our mission to improve the lives of ONE BILLION humans within the decade and shape a cleaner, better future for everyone. AI is a key investment area for Kraken Technologies. A crucial part of this is building the shared foundations that let every team use AI well and move faster on our mission. We build the platform that lets teams across Kraken build and run AI agents. Our work covers four areas: Access: connecting people and systems to approved AI models and tools Context: grounding AI in trusted Kraken knowledge, data and systems Enablement: reusable building blocks for AI-powered workflows and products Governance: permissions, safety, quality, cost and visibility across the lifecycle We're hiring Senior Software Engineers to join one of our three squads: Context: Build the Kraken-specific knowledge layer to make LLMs useful. This covers our internal AI assistant, a structured "client brain" that captures client context and decisions, and pipelines that collect knowledge from tools like Notion, Slack and GitHub. Tooling: deliver LLMs into people's hands. We run the AI Hub (usage insights, MCP gateway, self-serve and specialist agents), the LiteLLM gateway behind Claude Code, Codex and Claude Desktop, and secure cloud dev boxes for AI-assisted engineering. Evals & Observability: covers skill evals, internal benchmarking, agent safety and guardrails, and observability for live AI runs. Squads are flexible: when priorities shift, people move. This is a hands-on senior individual-contributor role. With your squad lead and the wider team, you'll own large parts of our platform, turn ideas into production systems, shape architecture decisions and help raise the engineering bar. Build shared AI platform services: Design, build and run Python services that other teams rely on, such as gateways, agent runtimes, knowledge pipelines and eval harnesses. Build and run agents: Work out how agents are triggered, authenticated, monitored and governed across systems like Slack, GitHub, Notion and Asana. Ship both self-serve agents and specialist agents. Ground AI in Kraken context: Collect, structure and serve company knowledge so agents give answers that are correct, current and safe to use. Measure and prove quality: Define meaningful test cases, build evals whose results can be reproduced, and add tracing so we know how AI behaves in real use. Build in safety and governance: Turn permissions, guardrails, budgets and data-access rules into software you can maintain, working with Security and TechOps. Operate in AWS: Deploy and support services on AWS and Kubernetes, and make sound reliability, performance and cost trade-offs. Drive adoption: Work directly with engineers and non-technical teams, run workshops, write clear docs and turn feedback into product. Raise the engineering bar: Review designs and code, mentor others, and create patterns that can be reused across AI Foundations. Strong senior-level software engineering: You have owned complex services end to end, from design through testing, deployment and operation. Deep engineering fundamentals: Good judgement on system design, concurrency, security, testing and architecture trade-offs. Strong production Python. Hands-on LLM and agent experience: You have built real things with LLMs, you know where they fail, and you use AI coding tools every day. Cloud experience: You're comfortable running services in AWS and owning their reliability and scalability. Product sense: You care whether people actually use what you build. Clear communication: You can explain trade-offs to technical and non-technical people and challenge ideas constructively. Learning agility: You pick up new tools and domains quickly in a field that changes every month. Adoption: You ship platform features that teams across Kraken adopt and rely on. Solid systems: The services you own are observable, secure, scalable and cost-aware. Trust at scale: Teams can build and trust agents without rebuilding the basics. Team impact: You make your squad, and the teams around it, better. AI engineering: Pydantic AI, LiteLLM, LangChain, MCP servers Knowledge and retrieval: RAG, search, embeddings, knowledge graphs Evals and safety: Inspect AI, Ragas, OpenAI Evals, NeMo Guardrails, red teaming Platform: Kubernetes, sandboxed or cloud dev environments, AWS Bedrock Backend: Django Observability: Datadog, OpenTelemetry Are you ready for a career with us? We want to ensure you have the right tools and environment to unleash your potential. If you have any accommodation requests, please contact us at . We'll do our best to tailor the experience to your needs so you can feel comfortable, confident and be at your best! Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we’re looking for! At Kraken, we're creating a team of genuine, honest, empathetic people. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. We consider all applicants without regard to race, colour, religion, national origin, age, sex, gender identity or expression, sexual orientation, marital or veteran status, disability, or any other legally protected status. *Our (i) Applicant and Candidate Privacy Notice and Artificial Intelligence (AI) Notice, (ii) Website Privacy Notice and (iii) Cookie Notice govern the collection and use of your personal data in connection with your application and use of our website. These policies explain how we handle your data and outline your rights under applicable laws, including, but not limited to, the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Depending on your location, you may have the right to access, correct, or delete your information, object to processing, or withdraw consent. By applying, you acknowledge that you’ve read, understood and consent to these terms *Please note that, in line with our current recruitment policy, we are unable to offer visa sponsorship for this position; applicants must have the right to work in the country that they're applying to, at the time of application. #J-18808-Ljbffr

Our tech team is roughly 75% data, 25% software. We are looking for someone to join the data side of our team; turning messy retailer data into something humans and AI agents can trust. In this role, you will own everything from raw source data up to and including the Cube semantic layer that powers the product: modelling, cleaning and serving data in dbt and Snowflake, a healthy amount of data engineering (getting data out of Shopify, PLMs and customer warehouses), and room to grow towards data science if that appeals. • Onboarding: How do we take a brand’s raw Shopify, returns and PLM exports and have a trustworthy, queryable model of their business live in days, not months?, • The semantic layer: When a merchandiser reads a dashboard and an agent answers in chat, how do we guarantee they see the same number? What gets defined once, in Cube, and reused everywhere?, • Data for AI: When a buyer asks Maeve “which of next season’s products are most at risk?”, what data needs to exist, and in what shape, for the agent to answer correctly?, • Data quality: Why does this brand’s return rate differ between Maeve and their own reporting, and which is right? How do we catch bad source data before a customer does?, • Cost and scale: Where are we paying for Snowflake queries that could be modelled better? As we go from 25 brands to 100, what has to change so nothing breaks? Your work will directly shape what major fashion brands see in the product, and what our agents and models can do with the data. • Data: Snowflake (including Cortex), dbt, Postgres; ingestion from Shopify, PLMs (e.g. Centric), returns platforms and customer warehouses (e.g. BigQuery), • Languages: SQL and Python; TypeScript a bonus, • Product: Python API (FastAPI), Cube.dev semantic layer, • AI: LLM chat and agents (Anthropic Claude) are core product features; we’re heavy users of AI coding agents internally, • 5+ years in analytics or data engineering: Ideally in production environments where your work has directly impacted users or customers, • Strong SQL: From querying and modelling source data to writing ingestion and orchestration code, • dbt and a cloud data warehouse: You’ve designed and owned dbt projects in Snowflake (or BigQuery, Redshift, Databricks), not just contributed models to someone else’s, • Data modelling: You turn inconsistent source systems into a clean, well-documented model that people and AI agents can use without asking you, • End-to-end ownership: You’ve owned production pipelines from source to serving, made the architectural calls and lived with the consequences, • Startup DNA: You’ve either worked at an early-stage company or built and shipped side projects from scratch that people actually use, • Product-minded: You care about the “why” behind a request and can push back constructively when something doesn’t make sense for the business or the customer, • Building ingestion from e-commerce, PLM or ERP systems (Shopify, Centric, etc.), or with orchestration and scheduling on AWS, • Experience with a semantic layer (Cube.dev, LookML, dbt metrics or similar), • Experience with LLM-powered applications (RAG, agents) or hands‑on ML / data science work, • Experience working under GDPR / ISO 27001 requirements, • Understanding of the fashion / retail industry, • You communicate clearly, to non-technical stakeholders and customers alike, • You balance rigour with speed and take full ownership of getting data into production, • You’re customer obsessed. Enterprise clients depend on the numbers being right, and the best data model is the one that drives a decision, • You’re pragmatic about AI. You use LLMs and coding agents to move faster, and build for them as consumers of your data, • You’re cost-aware by instinct. You notice when a query is burning money and fix it before anyone asks #J-18808-Ljbffr

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. With strong client relationships and deep industry expertise, we help our clients operate efficiently and sustainably through the unlimited potential of imagination, technology and intelligence. gb-en/about/accenture-song-index Within Accenture Song sits AI & Data, the practice that builds the data-led intelligence behind the customer work. Song AI & Data helps organisations unlock value from data, analytics and AI by creating more relevant, personalised and effective customer experiences. Our expertise spans customer insight, data strategy and platforms, advanced analytics, performance optimisation, and AI (including generative AI and agentic AI) transformation. You will join the Song AI & Data UK practice, within the AI & Modelling Craft: a community of data scientists, AI engineers, modellers and solution architects focused on applying AI, machine learning and advanced analytics to solve customer and growth challenges. Our teams work across the full lifecycle, from identifying opportunities and designing solutions through to building, deploying and operating AI products that deliver measurable business value. As a Customer AI Engineer, you will design, build and deploy machine learning, generative AI and agentic AI solutions that help our clients better understand, serve and grow their customers. This is a hands‑on engineering role where you will work across the full delivery lifecycle, from understanding the business problem and shaping the solution through to deployment, monitoring and continuous improvement. Your work could include building a retrieval‑augmented generation solution that helps customer service agents access the right information, developing an agentic workflow that automates campaign planning and optimisation, productionising recommendation and personalisation models, or creating customer intelligence solutions that power segmentation, propensity, next‑best‑action and decisioning capabilities. You will work in multidisciplinary teams alongside data scientists, architects, engineers and client stakeholders. The problems you work on will often be ambiguous at the outset, requiring you to test assumptions, experiment quickly and iterate towards solutions that are scalable, reliable and ready for production. This role requires strong technical curiosity and a builder mindset. You will be expected to stay current with developments in machine learning, generative AI and agentic systems, while applying sound engineering principles to create solutions that are secure, maintainable and effective in real‑world environments. You will also work directly with clients, helping them understand how AI solutions work, what value they can create and the practical considerations involved in deploying them successfully. Whether building a personalisation model, deploying a customer service agent or creating a new customer decisioning capability, your focus will be on delivering measurable customer and business outcomes. • Design, build and deploy AI‑powered tools, services and applications end to end, from problem definition through to live service and iteration., • Develop generative AI solutions using prompt and context engineering, coding, retrieval‑augmented generation, fine‑tuning and applying evaluation techniques., • Implement and optimise agentic AI workflows and multi‑step reasoning pipelines, integrating them with enterprise systems and data sources., • Build, train, evaluate and deploy machine learning models, and define the approach for running and monitoring them in production., • Break complex problems into smaller, testable components, and balance speed of experimentation with security, robustness and maintainability., • Run experiments to test new approaches and techniques, and apply what you learn to the solutions you are building., • Translate business problems into AI solutions with clear and measurable value, and communicate technical concepts to client stakeholders and non‑technical audiences., • Document patterns and build reusable assets and best practices that can be applied across the AI & Modelling Craft., • Contribute to capability building and knowledge sharing across the Song AI & Data practice 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: • 25 days of leave per year plus 3 extra volunteering days for charitable work of your 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. #LI-EU SNGCR01 Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organisations build their digital core, optimise their operations, accelerate revenue growth and enhance citizen services, creating tangible value at speed and scale. We are a talent‑ and innovation‑led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. • Experience applying AI to customer, marketing, commerce, sales or service challenges., • Experience with natural language processing, computer vision or multimodal AI models., • Knowledge of Responsible AI, guardrails and safety practices in production environments., • Familiarity with Snowflake, Databricks or similar data platforms., • Consulting or client‑facing delivery experience., • A bachelor’s or master’s degree in computer science, data science, engineering or a related field. London All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well‑being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognised as one of the World’s Best Workplaces™. Join Accenture to work at the heart of change. Visit us at www.accenture.com . #J-18808-Ljbffr

Job Title: Europe, Middle East & Africa (EMEA) Leveraged Debt Capital Markets (LDCM) Transaction Coordinator Location: London Corporate Title: Analyst / Associate Deutsche Bank’s Transaction Coordination Group (TCG) is a global, cross-divisional function, working within Investment Banking & Capital Markets (IBCM) Leveraged Debt Capital Markets franchise. Within TCG, you will work closely alongside our Leveraged Debt Capital Markets (LDCM) Business deal teams in the Europe, Middle East & Africa (EMEA) region by managing the coordination of the deal lifecycle process, from origination to loan closing to monitoring of the hold position. You will be a critical contributor to ensure LDCM transactions comply with internal policies, regulatory and legal requirements, including but not limited to all Know Your Client (KYC) requirements. You will also be involved in ad-hoc and key business projects and initiatives at the direction of LDCM senior management. A healthy, engaged and well-supported workforce are better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That’s why we are committed to providing an environment with your development and wellbeing at its centre. • Hybrid Working - we understand that employee expectations and preferences are changing. We have implemented a model that enables eligible employees to work remotely for a part of their working time and reach a working pattern that works for them, • Competitive salary and non-contributory pension, • 30 days’ holiday plus bank holidays, with the option to purchase additional days, • Life Assurance and Private Healthcare for you and your family, • A range of flexible benefits including Retail Discounts, a Bike4Work scheme and Gym benefits, • The opportunity to support a wide ranging CSR programme + 2 days’ volunteering leave per year, • Working closely with LDCM deal team members, contribute to the live transaction lifecycle management, executing and closing senior loan facilities and high yield bond transactions, • Leading and coordinating the KYC process, funding and closing, legal documentation review, obtain relevant internal approvals in-line with Deutsche Bank policies and regulatory requirements, • Managing the allocated LDCM portfolio hold position over its lifetime, from booking to termination/refinancing, including managing agent notifications and credit events, • Contributing to ad-hoc LDCM projects to streamline, improve efficiencies, considering the ever changing and evolving banking regulatory landscape, • Coordinating and producing reporting deliverables for regulatory bodies, • Actively participating in initiatives to develop and enhance controls and efficiency, • Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs, • Experience in Leveraged Finance, good understanding of loan and bond transactions, KYC, Anti Financial Crime (AFC), and broader banking regulatory environment is beneficial, • Excellent communication skills, both written and oral, with the ability to multi-task and operate within tight deadlines, • Reliable team player with problem-solving skills, a risk mindset and a can-do attitude, • French, German, Italian or other European languages skills are also considered complimentary, • Educated to degree level or equivalent qualification/relevant work experience, • Coaching and support from experts in your team, • A culture of continuous learning to aid progression, • A range of flexible benefits that you can tailor to suit your needs, • We value diversity and as an equal opportunities’ employer, we make reasonable adjustments for those with a disability such as the provision of assistive equipment if required (e.g. screen readers, assistive hearing devices, adapted keyboards) Deutsche Bank is the leading German bank with strong European roots and a global network. Deutsche Bank in the UK is proud to be named in The Times Top 50 Employers for Gender Equality and has been awarded a Gold Award from Stonewall and named in their Top 100 Employers . If you have a disability, health condition, or require any adjustments during the application process, we encourage you to contact our Adjustments Concierge on to discuss. We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment. #J-18808-Ljbffr

Salary: £43,000 - 83,000 per year • Degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Science, or a related technical discipline, or equivalent hands-on experience; an MSc or PhD is welcome but not essential., • Exceptionally strong Python programming skills, including object-oriented design, clean code, and software engineering principles such as SOLID, design patterns, modularity, and testability., • Strong backend and API engineering experience, ideally with Python frameworks such as FastAPI or similar., • Hands-on experience building and operating solutions in AWS environments., • Proficiency with Docker, GitHub, and CI/CD pipelines., • Proven ability to work across teams and drive delivery into production., • Strong problem-solving, debugging, and performance optimisation skills., • Solid software engineering foundations, including version control, automated testing, and monitoring., • Desirable: Experience building or productionising agentic AI systems, including tool use, orchestration, multi-step reasoning, or agent frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or similar., • Desirable: Experience with production GenAI or LLM systems, including RAG, prompt orchestration, evaluation, guardrails, and cost or latency optimisation., • Desirable: Exposure to MCP (Model Context Protocol) and tool-based or function-calling architectures., • Desirable: Experience deploying and operating machine learning models or MLOps pipelines, such as model serving, monitoring, and retraining workflows., • Desirable: Experience with real-time or streaming systems., • Design and build robust, secure APIs and backend components that power AI/ML, GenAI, and agentic applications., • Engineer agentic systems by integrating LLMs with tools, data sources, and business workflows into reliable, production-grade pipelines., • Take systems from prototype to production, owning reliability, scalability, and operational readiness., • Improve code quality, structure, and production readiness across the AI/ML stack., • Debug and resolve issues across APIs, environments, and integrations to support rapid response and minimise disruption., • Partner with Data Science, Engineering, DevOps, and Infrastructure teams to take solutions from development through live deployment., • Advise and support colleagues across the business whose systems integrate with AI/ML and agentic components., • Resolve technical ambiguity proactively to reduce delivery friction and rework and ensure smooth handovers from prototype to production., • Establish and evolve engineering standards for productionising AI/ML, including testing, observability, versioning, and release management., • Mentor and guide data scientists and engineers through code reviews and hands‑on technical support., • Promote disciplined engineering, continuous improvement, and operational excellence within our Data Science team., • Agentic AI, • AI, • API, • AWS, • Backend, • CI/CD, • DevOps, • Docker, • FastAPI, • GitHub, • Support, • LLM, • Machine Learning, • MCP, • MLOps, • Model Serving, • Python, • RAG, • Cloud We are Argus, a rapidly growing, award‑winning business. This hands‑on AI/ML engineering role sits within our Data Science team and focuses on taking AI/ML solutions, especially generative AI and agentic systems, from prototypes to reliable production systems. You will help set production‑readiness standards and bridge Data Science with our wider engineering organisation. We offer a dynamic environment for talented, entrepreneurial professionals to grow their careers, recognise and reward successful performance, and promote professional development as an Investor in People. Benefits include a competitive salary and company bonus scheme, group pension, group healthcare and life assurance, hybrid working (currently one day in the office), 25 days of annual holiday increasing incrementally up to 30 days, subsidised gym membership, a season‑ticket travel loan, a cycle‑to‑work scheme, a flexible benefits platform, and extensive internal and external training. last updated 40 week of 2026 #J-18808-Ljbffr

JOB ID: FEQ327R160 Location: London, United Kingdom Industry:Transport-Industry Recruiter: Dina Hussain As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organisation's most complex customer engagements. You drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts. You have declared your archetype—a recognised technical specialisation that makes you a force multiplier across your team and region. You operate at the intersection of deep technical expertise, strategic account planning, and executive influence. • Drive the technical and consumption strategy for the organisation's most complex customer engagements, directly influencing platform adoption and revenue growth., • Own senior-level technical relationships — serving as a trusted advisor on enterprise data and AI strategy, • Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale, • Operate as an Expert on the Databricks Platform with a declared archetype — actively mentoring others and driving horizontal impact across your team, • Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms, • Orchestrate cross-functional teams (DSAs, SSAs, Partners, Product) to deliver enterprise-grade solutions, • Coach and develop junior SAs (L3–L5) on technical depth, customer engagement, and use case prioritisation, • Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement, • 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role, • Expert-level coding proficiency — Python, SQL, and ideally Spark/PySpark. You will complete a live coding assessment and a platform build during the interview, • Deep expertise in enterprise data architecture: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms, • Expert-level Databricks Platform knowledge (or equivalent depth in competing platforms with demonstrated rapid learning ability), • Declared technical specialisation with recognised depth — e.g., real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions, • Proven track record of driving consumption growth and platform adoption in large accounts, • Executive presence — ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy, • Experience leading competitive displacements and complex enterprise evaluations, • Strong strategic thinking — connecting technical architecture decisions to business outcomes and revenue impact, • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience); advanced degrees are valued, • Databricks certifications, • Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company, • Published thought leadership (blogs, conference talks, open source contributions), • Industry vertical expertise with executive-level domain credibility Interview Process: Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check 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

We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer‑centric service design, and agile engineering practices to accelerate innovation in a tech‑driven world. • Join our Digital & Data team working alongside product, design and a wide range of other experts and cross‑disciplinary teams to bring ideas to life through innovative software solutions., • Grow a flexible and unique career within a trust‑based, inclusive environment that values excellence, innovation, and curiosity. You have the option to progress with us on a technical career track. No need to go onto the Partner career track if this doesn’t align with what you want to do., • Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week., • Work on a broad variety of projects and tech stacks for clients across seven sectors - no project is ever the same, • Join other experts within our supportive and collaborative tech community through knowledge‑sharing and peer‑level support, coaching and mentoring, • Deepen your expertise through our culture of learning and growth – you’ll have budget to take courses (technical and non‑technical training), plus gain certifications What you can expect 🌱, • Work to agile best practices and cross‑functionally with multiple teams and stakeholders. You’ll be using your technical skills to problem‑solve with our clients, as well as working on internal projects, • Live in‑person whiteboarding sessions to problem‑solve as a team, alongside asynchronous communication on Teams, • Hybrid working with the team on client site or in our office a minimum of two days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site., • We’re hands‑on with emerging technologies – exploring what works, what scales, and what’s next:, • Experimenting with Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic., • Building retrieval‑augmented generation (RAG) prototypes with vector stores and knowledge graphs., • Developing and testing agentic architectures through our own Genie Platform – enabling AI agents that reason, retrieve, and act across systems., • Exploring LLMOps, evaluation tools, and model observability platforms like TruLens and LangSmith., • Deploying solutions on modern cloud and DevOps environments (AWS, Azure, GCP) – but always choosing the right tools for the problem at hand., • Constantly learning, testing, and sharing findings across our internal AI community. Essential requirements ✅ Even if you don’t meet every requirement below, feel free to still apply as we are often hiring for similar roles which your background might be better suited to. • Software engineers with a passion for AI – or data scientists who’ve embraced engineering., • People who experiment, prototype, and explore emerging AI tools in their own time., • Strong foundation in a language suited to AI system development and data workflows., • Experience integrating models with APIs, data sources, or production systems., • Curiosity about LLMs, RAG pipelines (Graph & Vector based), and agent frameworks., • Understanding of cloud‑native (AWS / GCP / Azure) and DevOps / DevSecOps practices., • A collaborative mindset and willingness to share, learn, and teach., • Understanding of prompt and context engineering and model evaluation., • Solid grasp of distributed systems, microservices, and RESTful APIs., • An understanding of LLMOps tools for managing GenAI workflows. Please note that the interview stages may be subject to change based on the specific requirements of the role. • Quick call with one of our Tech Recruiters – to discuss your application, the role and PA, • Round 1: Either a competency or technical interview (60 mins), • Round 2: Either a competency or technical interview, whichever you didn’t do at first round (60 mins), • Final round 🎉: Meeting with a PA leader - a mini case study and discussion around your client‑centricity (60 mins) Life At PA encompasses our people’s experience at PA. It's about how we enrich people’s working lives by giving them access to unique people and growth opportunities and purpose‑led meaningful work. Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world’s most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. We are dedicated to supporting the physical, emotional, social and financial well‑being of our people. Check out some of our extensive benefits: • Health and lifestyle perks accompanying private healthcare for you and your family, • 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days, • Generous company pension scheme, • Opportunity to get involved with community and charity‑based initiatives, • Annual performance‑based bonus, • PA share ownership, • Tax efficient benefits (cycle to work, give as you earn) We’re committed to advancing equality. We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief, veteran status, any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups. Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on #J-18808-Ljbffr

Duration: contract to run until 31/08/2026 Location: London, hybrid Rate: up to £763 p/d Umbrellainside IR35 Clearance required: You must hold a British Passport We are seeking a Senior ServiceNow HR Service Delivery (HRSD) specialist to join an established ServiceNow capability within a large enterprise environment. This role requires a strong blend of hands on technical delivery, HRSD functional expertise, and platform engineering capability. The successful candidate will act as a technical and functional SME, working closely with HR Technology leadership, HR journey owners, governance teams, and delivery squads to stabilise BAU, reduce backlog, and deliver scalable, outcome based HR solutions on the ServiceNow platform. This is a hands on role requiring deep ServiceNow configuration, scripting, workflow automation, integrations, and experience designing enterprise grade HRSD solutions. • Embed immediately into the ServiceNow capability to stabilise BAU and reduce backlog, • Lead and perform hands on technical delivery, including configuration, workflows, HRSD capabilities, scripting, and integrations, • Design and deliver end to end HRSD solutions across key HR journeys (e.g. joining, progressing, leaving), • Digitise HR processes, reducing manual effort and eliminating high volume mailboxes and triage queues, • Design and implement outcome based workflows, improved routing logic, and automation at scale, • Drive continuous improvement across performance, user experience, resilience, and operational stability, • Technical Leadership & Governance, • Act as SME for ServiceNow HRSD architecture, technical design, and platform governance, • Shape solution options and delivery approaches in partnership with HR Technology leadership, • Define and mature design standards, reusable patterns, and best practices, • Ensure alignment to platform roadmap, architectural principles, and enterprise controls, • Support upgrades, instance management, and adoption of new ServiceNow capabilities, • Stakeholder Engagement & Coaching, • Partner with senior HR stakeholders, journey owners, programme teams, and technical squads, • Translate business outcomes into scalable ServiceNow designs and implementations, • Lead and coach junior developers, providing technical guidance and quality oversight, • Contribute to agile delivery, working closely with product owners and scrum teams, • Strong experience delivering ServiceNow HR Service Delivery (HRSD) in large or complex organisations, • Proven ability to translate HR business needs into scalable HRSD solution designs, • Hands on experience with:, • HR Service Delivery Enterprise, • Employee Center / Employee Center Pro, • HR Agent Workspace (UI Builder), • Employee Document Management, • Case and knowledge management within HRSD, • Strong ServiceNow scripting skills:, • Business Rules, Script Includes, Client Scripts, • REST / SOAP integrations, • Experience with:, • Flow Designer and workflow automation, • UI Builder and UI/UX configuration, • Integrations with platforms such as Workday and Microsoft technologies, • Web technologies (HTML, CSS, XML, AngularJS), • Experience implementing:, • Platform Analytics and reporting, • AI / automation capabilities (e.g. Now Assist, virtual agents, workflow intelligence), • Familiarity with enterprise infrastructure and identity platforms (e.g. Microsoft Entra, Microsoft Graph, M365), • Experience working in Agile delivery environments, • Comfortable acting as both individual contributor and technical lead, • Strong problem solving skills with the ability to work across ambiguity, • Excellent communication skills with the ability to engage stakeholders at all levels Additional ServiceNow architecture or platform certifications are desirable This role suits a senior ServiceNow HRSD consultant/developer who: • Is highly hands on and delivery focused, • Can operate as a trusted technical partner to HR and platform leadership, • Has experience stabilising live platforms while delivering new capabilities #J-18808-Ljbffr

Req ID: FEQ327R439 Location: London (or surrounding areas) As a Senior Solutions Engineer, you will independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations. You are a builder who can code, architect, and present—combining technical depth with customer‑facing skills to drive Databricks adoption. You will own frontline customer relationships and work with your Account Executive to develop technical strategies that expand platform usage. • Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning, • Build and deliver compelling proofs‑of‑concept and live demos on the Databricks Platform that drive technical wins, • Own frontline technical relationships with customer engineers, data teams, and technical leads, • Develop account‑level technical strategies in partnership with your Account Executive to grow platform consumption, • Navigate competitive landscapes by articulating Databricks differentiation through hands‑on demonstrations, • Contribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader SA community, • 4+ years in data engineering, solutions architecture, technical pre‑sales, or a hands‑on consulting role, • Proficient in Python and SQL with demonstrated ability to debug, optimise, and write production‑quality code — live coding is a required interview stage, • Hands‑on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP), • Working knowledge of distributed data systems: Apache Spark™, Delta Lake, or equivalent (Hadoop, Kafka, Flink), • Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews, • Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics, • Strong presentation and demo skills — you will build and present a live solution during the interview, • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience), • Databricks certification or experience with the Databricks Platform, • Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow, • Background at a data/AI company, cloud provider, or technical consulting firm Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check 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

You'll build the interfaces people use to run H's agents: the H Platform, where teams deploy an agent, follow it live and replay what it did step by step, and HoloTab, our Chrome extension that controls the browser on its user's behalf. H builds agents that use a computer the way a person does, in the browser and on the desktop. How people watch, steer and replay an agent while it acts on a computer, which has few established patterns yet. You'll decide how a live run appears and plays back, how live data gets to the screen, how a feature splits between front end and API, and which components become shared standards. We'll judge the work by what ships to users, by front-end quality held in CI, and by whether people can follow and control what an agent did. • Building the H Platform web app, • Building and improving the HoloTab extension, • Designing the live run view and replay, • Changing the Python APIs behind a feature, • Setting shared component patterns, • Making long-running workflows easier for FDEs and customers to deploy and watch Within three months, a feature you built, API change included, is with users. Within six, one surface is yours, such as live runs and replay or the HoloTab interface, and the team comes to you about it. Within a year, you're working across several of our products, agreeing what to build with their owners and then building it. The role sits in Product Engineering, with our VP of Engineering as hiring manager. You'll work closely with the owners of the H Platform and HoloTab. Your users are our Forward Deployed Engineers (FDEs), our technical customers and the people who use HoloTab every day. You're likely a good fit if you: • Have shipped a production product in React and TypeScript as a senior engineer, • Make the API change a feature needs as well as the UI, • Write correct, concurrent code, • Handle live, async data in the UI correctly, • Enjoy working out what users actually need and designing the interface around it, • Have worked with Python Stronger still if you have worked with: • Chrome extensions or the Chrome DevTools Protocol, • Real-time interfaces using streaming, SSE or WebSockets, • Design systems or component libraries, • FastAPI or a similar Python API framework, • Preact and Vite You do not need a background in Python backend development. If you match most of this but not every point, apply anyway. Four stages: a 30-minute call with our Talent team, a 60-minute coding interview, a take-home front-end exercise of about 2 hours with a 45-minute review, and a closing 30-minute conversation. The take-home is built around the kind of interface you'll be working on. The role is hybrid, with three days a week in our Paris or London office and a visit to the other office every four to six weeks or so. We offer a competitive package. #J-18808-Ljbffr

Great AI and machine learning capability only creates value once it runs reliably in the real world. This role exists to bridge that final, critical gap—taking the AI/ML solutions developed within our Data Science team from promising prototypes to robust, scalable production systems that our teams and customers depend on every day. Sitting within Data Science, this is at heart a hands‑on AI/ML engineering role. Your primary focus will be productionising Generative AI and agentic systems—building the APIs, tools, integrations and workflows that let LLMs, and agents operate reliably at scale. You will also support the broader range of machine learning models and pipelines across the business. You will be the key partner working hand in hand with Engineering, DevOps and Infrastructure teams to bring our models and systems into production—owning the technical journey of making AI/ML systems live, stable, secure and performant. As a member of the Data Science team, you will set the standard for production readiness, act as the bridge between data science and the wider engineering organisation, drive delivery across teams, and mentor colleagues. Your work will directly determine how quickly and confidently Argus can bring new AI/ML capabilities to life. • Design and build robust, secure APIs and backend components that power AI/ML, GenAI and agentic applications., • Engineer agentic systems—integrating LLMs with tools, data sources, and business workflows into reliable, production‑grade pipelines., • Drive systems from prototype to production, owning reliability, scalability, and operational readiness., • Raise code quality, structure, and production readiness across the AI/ML stack., • Debug and resolve issues across APIs, environments, and integrations, ensuring rapid response times and minimal disruption., • Act as the technical partner between Data Science and the Engineering, DevOps and Infrastructure teams, taking solutions from development through to live deployment., • Advise and support colleagues across the business whose systems integrate with AI/ML and agentic components., • Proactively resolve technical ambiguity to reduce delivery friction and rework, ensuring a smooth handover from prototype to production., • Establish and evolve engineering standards for productionising AI/ML, including testing, observability, versioning, and release management., • Mentor and guide data scientists and engineers, providing code reviews and hands‑on technical support., • Champion a culture of disciplined engineering, continuous improvement, and operational excellence within Data Science. A degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Science, or a related technical discipline—or equivalent hands‑on experience. An MSc or PhD is welcome but not essential. • Exceptionally strong Python programming skills, with a deep grasp of object‑oriented design, clean code, and core software engineering principles (e.g. SOLID, design patterns, modularity, testability)., • Strong backend / API engineering experience, ideally in Python (e.g. FastAPI, or similar)., • Hands‑on experience building and operating solutions in AWS environments., • Proficiency with Docker, GitHub, and CI/CD pipelines., • Proven ability to partner with and work across teams to drive delivery into production., • Strong problem‑solving, debugging, and performance optimisation skills., • Solid software engineering foundations, including version control, automated testing, and monitoring., • Experience building or productionising agentic AI systems—tool use, orchestration, multi‑step reasoning, or agent frameworks (e.g. LangGraph, LangChain, CrewAI, AutoGen, or similar)., • Experience with GenAI / LLM systems in a production context (RAG, prompt orchestration, evaluation, guardrails, cost/latency optimisation)., • Exposure to MCP (Model Context Protocol) and tool‑based / function‑calling architectures., • Experience deploying and operating machine learning models / MLOps pipelines (e.g. model serving, monitoring, retraining workflows)., • Experience with real‑time / streaming systems., • Competitive salary and company bonus scheme, • Group healthcare and life assurance scheme, • Hybrid working environment (currently one day in office), • 25 days annual holiday with incremental increase up to 30 days, • Subsidised gym membership, • Season ticket travel loan, • Cycle to work scheme, • Flexible benefits platform (ability to buy additional medical cover, life assurance, dental cover, holiday, critical illness, travel insurance & health screening), • Extensive internal and external training Argus is the leading independent provider of market intelligence to the global energy and commodity markets. We offer essential price assessments, news, analytics, consulting services, data science tools and industry conferences to illuminate complex and opaque commodity markets. Headquartered in London with 1,500 staff, Argus is an independent media organisation with 32 offices in the world’s principal commodity trading hubs. Companies, trading firms and governments in 160 countries around the world trust Argus data to make decisions, analyse situations, manage risk, facilitate trading and for long‑term planning. Argus prices are used as trusted benchmarks around the world for pricing transportation, commodities and energy. Founded in 1970, Argus remains a privately held UK‑registered company owned by employee shareholders and global growth equity firm General Atlantic. #J-18808-Ljbffr

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Sales Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. About Salesforce Salesforce brings customer data, CRM, analytics, and AI together on a trusted platform. Our teams help organizations turn complex business and data requirements into secure, scalable solutions. In this role, you will help customers put Data 360 into production and build the technical foundation for reliable, enterprise-grade use cases. About the Role Production implementation experience required. Builder mindset non-negotiable. Salesforce is hiring Forward Deployed Engineers focused on Data 360, Salesforce’s real-time data engine that unifies data from any source. As a Forward Deployed Engineer, you will be a hands-on Technical Builder who configures, builds, tests, and deploys Data 360 directly inside enterprise customer environments. You will turn approved solution designs and acceptance criteria into working implementations across ingestion, harmonization, identity, insights, activation, retrieval, security, and operational readiness. Data 360 is also the data foundation for Agentforce - and grounding agents in accurate, real-time enterprise data is deep data engineering. You'll go further into RAG, vector search, MCP, and agent-to-agent integration than most data roles ever touch, because the agents are only as good as the layer you build. You'll work within a delivery team that includes architects, deployment strategists, Agentforce FDEs, account teams, and customer technical teams. Engagements may span a focused proof, production rollout, and stabilization. The common thread is real customer data, disciplined testing, and a supportable handoff. This is a hands-on data and software engineering role. You will build in real enterprise customer environments - writing SQL, Python, and Apex; building ingestion pipelines; debugging identity resolution; and shipping working implementations from sandbox through production. If you're looking for a purely declarative configuration role or a pure advisory role, this isn't it. What You'll Do Build in customer environments. Configure and develop directly in customer sandboxes and production - using Data 360 configuration, SQL, Apex, Flow, Python, the REST Query API, the Interaction SDK, Salesforce DX, CLI, Git, Data Kits, and deployment tooling as required - following security, change-management, and release controls. Engineer the data layer. Build ingestion, harmonization, and identity resolution across batch and streaming sources. Materialize views of data optimized for specific application, analytical, and agentic workloads, tuning latency and cost tradeoffs to meet use-case requirements. Work with customer data and AI teams to ensure implementations align with their existing strategies (e.g., data mesh, data fabric). Prove it works. Create representative test data and validate expected outcomes across happy paths, edge cases, access boundaries, hierarchy behavior, failure conditions, and customer-scale volumes. Ground the agents. Design, build, and maintain the AI data integration layer - RAG (Retrieval-Augmented Generation), vector databases, search indexes, and knowledge bases - that grounds Agentforce solutions in accurate, real-time enterprise data. Orchestrate agent communication. Design and implement the protocols - including Model Context Protocol (MCP) and agent-to-agent communication - that govern, monitor, and ensure efficient collaboration among specialized AI agents. Connect the ecosystem. Implement robust, scalable, and secure data integration patterns that connect Agentforce to a wide range of enterprise applications and enable communication between AI agents. Govern the data. Apply deep data management expertise to ensure the secure integration, transformation, and governance of structured and unstructured data across the Salesforce ecosystem (CRM, Data Cloud) and external systems. Build for scale and security. Apply knowledge of message queues, event-driven architecture, and distributed systems to build resilient workflows and implement secure authentication and authorization protocols (OAuth, SAML) so that all agent actions are secure and comply with enterprise security policies. Debug the hard problems. Troubleshoot ingestion failures, mapping defects, schema drift, identity anomalies, query behavior, activation latency, API errors, permissions, and consumption issues - methodically, with logs and query evidence, isolating product behavior from configuration error. Own implementation decisions. Compare viable techniques within the approved architecture, document measured tradeoffs, and recommend the most maintainable implementation to the responsible architect or technical lead. Accelerate with AI. Use AI tooling - including Data 360 APIs and MCP Servers - to automate the build process and compress customers' time to value. Co-build and hand off. Work alongside customer technical teams and partners through pairing, code reviews, and configuration reviews. Package reusable metadata, scripts, queries, tests, and runbooks so the solution can be reproduced and supported. Support deployment, validation, production handoff, and early stabilization, leaving clear ownership and known limitations. Feed the roadmap. Surface reproducible platform gaps and edge cases - with live evidence, impact, and expected behavior - directly to Product and Support. \u201cYou're Our Data 360 Forward Deployed Engineer\u201d If... You have 5+ years of experience in software engineering, data engineering, or technical implementation, including a production data solution you can explain in detail. You have a bachelor's degree in Computer Science or equivalent practical experience. You have hands-on experience implementing Salesforce Data 360 (Data Cloud) or a comparable enterprise data platform across ingestion, modeling, identity, insight, activation, and operations. You have hands-on experience building data pipelines and integrations using at least one enterprise data platform or technology, such as Snowflake, Databricks, BigQuery, Redshift, Kafka, cloud object storage, or an enterprise MDM platform. You are proficient in SQL and can build, debug, and optimize multi-table queries, joins, filters, transformations, and validation checks. You are fluent in at least one implementation language used in enterprise delivery - Apex, Java, Python, or JavaScript/TypeScript - and are willing to learn the others as needed. You understand data modeling, APIs, integration patterns, batch and streaming processing, and the practical differences between copied, federated, and Zero Copy data access. You've built retrieval systems for AI applications - vector databases, search indexes, embedding pipelines, or knowledge bases - and can explain the design decisions behind chunking, indexing, and relevance. You've implemented secure service-to-service integration patterns (OAuth, SAML, event-driven architectures) and are conversant in emerging agent protocols like MCP and agent-to-agent communication. You can implement secure data access and rigorously test it, including permissions, entitlements, consent, user context, restricted populations, and negative test cases. You diagnose technical problems methodically, use logs and query evidence, isolate product behavior from configuration errors, and document a reproducible result. You can implement against a documented architecture, explain what you built to customer technical teams, and recognize when a question requires an architect or security owner. You have delivered alongside customers, partners, professional services, or internal implementation teams in deadline-driven environments. You are excited to work directly with customer administrators, developers, data engineers, and architects. You have relevant certifications in Salesforce Agentforce, Data 360, and the Salesforce Platform. Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. We're Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you've come to the right place. #J-18808-Ljbffr

Select how often (in days) to receive an alert: Create Alert Currys London Campus at Waterloo Permanent Full Time Grade 4 At Currys we’re united by one passion: to help everyone enjoy amazing technology. As the UK’s best-known retailer of tech, we’re proud of the service our customers receive – and it’s all down to our team of 25,000 caring and committed colleagues. Working as one team, we learn and grow together, celebrating the big and small moments that make every day amazing. You’ll be part of Tech and Transformation, where we’re building Al-powered solutions that genuinely change howCurrys works. We drive innovation that creates seamless, secure experiences - from modernising platforms to deploying smart tools across stores, supply chain, contact centres and corporate teams. Using analytics, Al and automation, we simplify work, improve decisions and unlock new opportunities. It’s a team that values curiosity and collaboration, and with access to learning platforms and mentoring, you’ll grow as fast as the tech we build. You’ll work closely with product managers, engineers and technology colleagues to keep our data and Alinfrastructure reliable, scalable and future-ready. Your work spans a wide range of business solutions - from core trading and supply chain to finance, stores, colleague tools and emerging Al initiatives. You’ll partner with product and domain teams across Currys to deliver new data features, capabilities and agent-driven tools. You’ll also collaborate with platform and operations teams to maintain robust, high-performance analytical pipelines. A key part of your role is being part of a community of engineers who share ideas, solve problems together and set high standards for how we deliver data and Al at Currys. • Build and maintain data pipelines that process billions of events daily across batch and streaming systems, • Develop Al-powered solutions including intelligent agents using Databricks Agent Bricks to improve, • Productivity, • Setup infrastructure as code for data and Al platforms, keeping everything scalable and reproducible, • Create monitoring and alerting systems that protect data quality, model performance and pipeline, • Reliability, • Optimise data processing jobs to improve performance and cut costs, • Partner with product and domain teams to deliver new data features and agent-driven tools, • Build and manage CI/CD pipelines for data and Al applications, • Troubleshoot production issues and apply permanent fixes to stop problems recurring, • Contribute to shared engineering standards and best practices across the team, • Strong experience building production-grade data pipelines at scale that handle real business impact, • Confidence with Python and SQL, and hands-on use of data processing frameworks in live environments, • Experience with cloud platforms like Azure or GCP and containerisation technologies, • Knowledge of streaming technologies and event-driven architectures that keep data flowing, • A practical approach to infrastructure as code using tools like Terraform or CloudFormation, • Sharp troubleshooting skills that get to the root of problems and fix them for good, • Experience with platforms like Databricks or Snowflake, or similar data tools, • Interest or experience in building Al-powered solutions - hands-on with Databricks Agent Bricks beneficial, • Degree in Computer Science, Engineering, or equivalent hands-on experience, • Cloud certifications highly desirable, • DevOps, data engineering, or Al engineering certifications beneficial We know our people are the secret to our success. That's why we’re always looking for ways to reward great work. You’ll find a host of benefits designed to work for you, including: • 25 days of annual leave (plus bank holiday entitlement) and a competitive pension scheme, • Private Medical Insurance, • Life Assurance, • Fantastic colleague discounts on Tech with Currys and iD Mobile, • Hybrid working (with an expectation to meet in person 2-4 times per month) Join our team and we’ll be with you every step of the way, helping you develop the career you want with new opportunities, on-going training and skills for life. Not only can you shape your own future, but you can help take charge of ours too. As the biggest recycler and repairer of tech in the UK, we’re in a position to make a real impact on people and the planet. Every voice has a space at our table and we’re committed to making inclusion and diversity part of everything we do, including how we strengthen our workforce. We want to make sure you have a fair opportunity to show us your talents during our application process, so if you need any additional assistance with your application please email and we’ll do our best to help. #J-18808-Ljbffr

King's Crosss £150,000 - £175,000 We are hiring four people at senior and lead levels. Senior engineers own major capabilities, lead engineers also set technical direction and mentor others. Descrial is a startup inside a twenty-year-old company TresVista has run the analytical work behind private capital since 2006. 2,000 people, 400+ clients including some of the biggest names in the industry, no outside capital and no outside board. That was the first chapter. And we enjoyed getting here! The next chapter is harder and more interesting We are moving from services to software, from one firm's workflows to an industry's, and from executing investment decisions to shaping how they get made. Thirty of us in King's Cross, small and senior, with day one founder intensity. At its fullest expression, Descrial changes how every serious investment firm decides. You report to the Head of Engineering and work hands-on on the UK core team. Our environment spans LangGraph and LangChain, leading model providers, Python/FastAPI services, and vector and graph retrieval. Token cost, latency and auditability are engineering constraints throughout. You build LangGraph/LangChain workflows with state, checkpoints, tool calls and human approval patterns. Pydantic-validated prompts and structured outputs support extraction, summarisation, classification and reasoning over investment documents. You integrate Anthropic, OpenAI and Amazon Bedrock, choose models by task and build fallbacks that absorb outages and provider changes. You manage context windows and compaction across long runs to control cost, and build and consume MCP tool servers for safe access to services, search and documents. You own parsing, chunking, embeddings, Qdrant vector retrieval, reranking and hybrid search in RAG pipelines. You extend GraphRAG with Neo4j, Cypher and graph data modelling. Relevance evaluations guide improvements while indexed content stays isolated across tenants. You build golden datasets, LLM-as-judge evaluations and regression gates for prompt and model changes. LangSmith/LangFuse-class instrumentation makes latency, cost and quality visible for every model call. You apply tool-use constraints, output validation and data-privacy guardrails in the UK/GDPR context. You ship Python 3.11+/FastAPI services with PostgreSQL and operate on AWS through CI/CD quality gates. • You have 5+ years in software engineering with strong Python, including 2+ years building LLM or ML systems used in production., • You have deep hands-on agent/orchestration experience with LangGraph, LangChain or comparable frameworks beyond prototypes., • You have production RAG experience with embeddings, vector databases, chunking and retrieval evaluation., • You have graph-backed retrieval experience or graph-modelling foundations that let you learn Neo4j and Cypher quickly., • You can describe an evaluation harness you built and how it governed changes., • You use AI coding tools daily, such as Cursor or Claude Code, and have a considered view of where they help., • You have a degree in engineering, computer science or a related field, or equivalent experience from a strong technical background., • Qdrant, Weaviate or pgvector in production, and ingestion tools such as Docling or unstructured, • MCP server development and observability tools such as LangSmith, LangFuse or Ragas, • Fine-tuning, embedding-model selection or open-weight deployment, • Financial documents such as filings, fund documents and research This will be difficult. It demands pace and accuracy. We are building autonomous systems inside high-stakes live businesses, where decisions carry real consequences and impact and waiting for everyone to agree is not always an option. The systems will sometimes get things wrong. In this phase the London team needs to create the evaluations, visibilities and safeguards that catch mistakes early, reducing them over time and stopping the same failures happening again. If you want to build the foundations of an enterprise grade technology platform to service a multi-billion $ serviceable market opportunity, and share in that growth, this is your chance to join us. Come ready to discuss three pieces of work: • An agent or retrieval system you shipped: the architecture and how it performed., • An evaluation harness you built: the failures it caught and the release decisions it changed., • A model, context or routing decision that improved quality, latency or cost. The all-inclusive package is typically £150,000–£175,000 a year, depending on experience. • King's Cross, London. In office (3 to 5 days a week), with colleagues in London and Bengaluru., • Visa sponsorship is not available for this role., • We aim to finish the process within three weeks. Tell us if you need an adjustment to the interviews., • Descrial is an equal opportunity employer. #J-18808-Ljbffr

Senior Forward Deployed Engineer, Incydr The work people build is worth protecting, and it's harder to protect than it used to be. AI agents now move at machine speed with human-level access, and a small slip-up can become a very public one. We disrupt cybercriminal activity before that happens. We think fast, go big, and always demand more of ourselves. We work hard, deliver, and repeat. We grow with real determination and put success well within reach. We push each other to be better and expect to be pushed back, in a community built on respect, where everyone is counted. Work Protected. Incydr Product Development is looking for a Senior Forward Deployed Engineer to help make sure customers get the full value of Incydr, from initial rollout throughout the entire time they run the product. As Incydr scales globally across more customers and more complex environments, we're investing in a technical role that sits close to the customer: partnering with our proof‑of‑value engineers, Professional Services team, and customer account teams to help accounts reach full operational health quickly and stay there as their needs evolve. It's a chance to shape a new role at the intersection of engineering and customer success. This is a hands‑on, engineering role that also interacts with customers. You'll be embedded in Incydr Engineering and brought in directly by the teams closest to an account to work on something specific: a technical health check, custom integration work, digging deep into customer problems to find and resolve issues quickly, and even fine‑tuning after deployment to make Incydr fit well inside a customer's environment. You'll be part of the engineering team with access to source code, advanced logging, and telemetry to solve problems directly or partner with other SMEs in engineering as needed. Expect some travel to customer sites, though most engagement happens remotely; day to day, you'll follow the hybrid working model for your local Mimecast office. Mimecast is an AI-First engineering organization. Our teams actively leverage AI‑powered development tools to accelerate innovation, improve code quality, and solve complex cybersecurity challenges at scale. We're looking for engineering leaders who embrace these technologies or are eager to master them quickly. Our AI leadership extends beyond how we build to what we build. Our Mihra AI agent delivers 7x faster threat response for customers, and we're recognized as “Agents of Change” in Human Risk Management. Engineers here work at the intersection of cutting‑edge AI tooling and AI‑powered security products that protect organizations worldwide. Partner with customer‑facing teams, customers, and fellow engineers to quickly diagnose and resolve technical pain points, from deployment hiccups to performance tuning, so customers get the most out of Incydr. Take full ownership of each engagement, from first diagnosis to resolution, working directly with customers along the way, while account teams continue to own the broader relationship. Get full access to the Incydr codebase and deployment tooling, so you can dig into how something actually works yourself and ship a fix through our normal review process when you're the right person to do it. Build and troubleshoot custom scripts and integrations tailored to each customer's environment, using AI tools to move fast rather than reaching for a one‑size‑fits‑all script library. Partner with Incydr Engineering on issues that need deeper product involvement, arriving with enough detail, like repro steps and a root‑cause hypothesis, that they can act on it immediately. Spot early signals, like an account building up untriaged alert volume, and flag them proactively so customer‑facing teams can get ahead of a problem before it grows. Coach and enable a customer's own team, through training, documentation, and hands‑on pairing, so they can confidently run and maintain Incydr themselves. Bring what you learn back to the rest of product and engineering, so patterns you spot across customers directly shape the roadmap instead of being solved once and forgotten. • 5+ years building software, including practical experience troubleshooting or supporting that software directly with customers or in live production environments., • Enough depth across a broad codebase to work independently: comfortable reading and navigating code you didn't write, diagnosing an issue, and contributing a fix through normal review when needed, without waiting on someone else to do the digging., • Practical scripting and integration experience: building narrow, purpose‑built solutions to a specific technical problem quickly, including using AI coding tools to move faster than writing everything by hand., • Genuine comfort owning a technical conversation directly with a customer: running a working session on a live issue, walking a customer through troubleshooting together over a video call., • This is a role that will directly interact with customers and with a variety of internal stakeholders., • Comfort troubleshooting with incomplete information: you're the person who figures out why something is broken in someone else's environment, even when the information is incomplete and a customer's waiting on an answer., • Strong written and verbal communication: translating a technical root cause into something a non‑engineer can act on, and a customer's vague description of a problem into something engineering can act on., • Comfort working daily with AI coding assistants and agents, and interest in building the kind of lightweight AI‑driven tools and playbooks that let customers and internal teams solve problems themselves., • Experience with endpoint agent technology, device management (MDM), or the operational realities of deploying software across large, varied fleets., • Experience with identity/directory sync (for example, SCIM) or enterprise single sign‑on integrations., • Experience building internal tools, playbooks, or automations that non‑engineering teams can run themselves., • Background in a customer‑facing technical role: professional services, solutions engineering, technical account management, support or similar., • Exposure to data security, data loss prevention, or insider risk concepts. The base salary range for this position is £80,000−£120,000 plus benefits. This range represents the minimum and maximum new hire compensation for this role. The position may also be eligible for incentive plans and additional benefits, in accordance with company policy and local regulations. Our salary ranges are determined by role, level, and location with individual compensation also dependent on factors such as qualifications, experience, and skills. Final offers will reflect these considerations and may vary accordingly. Belonging at Mimecast Cybersecurity is a community effort. That’s why we’re committed to building an inclusive, diverse community that celebrates and welcomes everyone – unless they’re a cybercriminal, of course. We’re proud to be an Equal Opportunity and Aff… We’d encourage you to join us whatever your background. We particularly welcome applicants from traditionally underrepresented groups. We consider everyone equally: your race, age, religion, sexual orientation, gender identity, ability, marital status, nationality, or any other protected characteristic won’t affect your application. Due to certain obligations to our customers, an offer of employment will be subject to your successful completion of applicable background checks, conducted in accordance with local law. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. We save companies the embarrassment of awkward data slip ups by disrupting cybercriminal activity. We think fast, go big and always demand more. We work hard, deliver – and repeat. We grow with meaningful determination. And put success well within our reach. We empower each other, live by our values, and always deliver on our purpose. We push each other to be better and expect to be pushed back. This is a community of respect. Where everyone is counted. #J-18808-Ljbffr

VGC Group seeks an experienced Agent to lead the delivery of water and clean water infrastructure projects. The role involves managing site operations, programme delivery, health and safety compliance, and stakeholder engagement to ensure works are completed safely, on time and within budget. This position is ideal for a civil engineering professional with a strong background in water treatment and associated infrastructure projects, capable of managing multidisciplinary teams in a live #J-18808-Ljbffr

Aldgate, London. In-office 5 days a week. We're hiring our Founding Marketing Lead. The person who owns brand, narrative, content, distribution, and growth end-to-end. This is a founding hire. You'll build the marketing function from zero and be responsible for making cinnamon the first company people in property think of when they hear "AI." You'll work closely with the founders every day, turning what we're building, what we're learning from customers, and where the industry is going into content and campaigns that people actually care about. You won't be managing agencies or sitting behind a strategy deck. You'll write the posts, shape the narrative, run the launches, make the content, test the channels, and work out what actually moves the business forward. Property is one of the most important parts of people's lives. It's where you raise your kids. It's most people's biggest financial decision. And the experience of buying, selling, or renting one is still shockingly bad. We live in a world where you can send money across borders in three seconds, hail a car with a tap, and have your entire medical record on your phone. But when it comes to property? You're waiting for a call back from a branch that closes at 5:30. Your offer is being managed in a spreadsheet. Your tenancy renewal is stuck because someone forgot to send an email. The infrastructure that powers how people find homes, move between them, and manage their biggest asset has barely changed in 30 years. Nobody has built the definitive AI agent layer for real estate yet. That's what we're doing. cinnamon.io is a platform of AI employees that handle the property transaction end to end. Our first AI hire is already live with number of agencies across the UK. But we’re just getting started. • Backed by Entrepreneurs First and top-tier VCs (our first investor was early investor into Canva), • Live with agencies across the UK with early US traction, • Based in Aldgate, London., • Build founder-brand for our CEO and CTO from a cold start. LinkedIn, X, podcasts, op-eds, conference stages., • Run the B2B content engine. Weekly cadence. Blog, social, video, weaponised content (data benchmarks, comparison cheat sheets, visual reports) that spreads inside the industry., • Ghost-write for our CEO., • Own PR. Build relationships with journalists and analysts who cover property, prop-tech, and AI., • Run customer marketing. Case studies, testimonials, reference programs, customer advisory boards., • Own the brand. Voice, positioning, narrative, visual identity (in partnership with the Founding Designer, and fractional CMO)., • Own the website end-to-end. Homepage, product pages, careers, blog., • Run launches end-to-end. Product launches, big customer wins, fundraise announcements., • Plan and run events. Industry conferences, our own dinners, founder roundtables., • Measure what matters. Demos booked from inbound, mind-share signals, B2C user growth, viral coefficient., • Hire the next marketer and growth person when the time comes., • Strong writer. You write like a human, not a marketing deck. You can ghost-write for a founder without making them sound like everyone else on LinkedIn., • Strong taste. You can spot AI slop in three lines. You can spot a weak headline in three seconds., • Built a brand or audience from cold. Not "managed" one that already existed. You wrote the post that took off, recorded the video, made the thing that spread., • You switch registers. Writing for a 55-year-old branch manager on LinkedIn one hour, a 24-year-old renter on TikTok the next., • Hands-on across the whole stack. Website, content, social, email, video editing, PR, events., • Commercially literate. You can measure what works and you do., • You're genuinely customer and product obsessed. You care whether branch staff actually use cinnamon every day. Customer pain isn't just something to manage, it's something to understand deeply., • AI-native. Cursor, Claude, Lovable, v0, every AI writing and editing tool that ships. You orchestrate, you don't draft from scratch., • You move fast. First experiment shipped in week one, not week six. We value taste, speed, and a maker's mindset over credentials. • Founding or early marketing hire at a fast-moving B2B SaaS, AI, or fintech startup, • Consumer marketplace or B2C growth background, • You've grown a personal audience past 10,000 (Substack, LinkedIn, X, TikTok, podcast), • You've ghost-written for a founder before, • You speak to GenZ as a native and have shipped content before, • Your first instinct is to hire an agency or go straight to paid ads, • You think marketing is a deck of channel ideas you hand to someone else, • You're a strategist who doesn't ship the work yourself, • You've never written, filmed, built, or shipped the thing yourself, • You optimise for predictable hours or work-life balance, • Five days a week in the office sounds exhausting rather than energising We work hard. five days a week, in-office. We're rebuilding a $1T+ industry and we don't think that happens on a 9-to-5. We're also having fun. The team is sharp, ambitious, and genuinely enjoys the work. • Meaningful founding equity, • Private health insurance, • Wellhub Gym/Wellness plan, • Dinners in the office, • Brand new MacBook But the real offer is ownership. You set the brand. You pick the channels; you write the content. You run the experiments; you hire the next marketer. #J-18808-Ljbffr

Be the first commercial hire at an AI company taking on one of MedTech's most felt problems: the burden of compliance. Build the outbound engine from scratch and help manufacturers get their products into patients' hands faster. We're hiring our first commercial person: an AI-first builder who thrives on autonomy. You'll architect the outbound motion from zero and help close the deals alongside the founders. That means building how we find the right regulatory leaders, what we say to them, why they reply, and then running the full cycle. Day to day, you'll: Build and optimize the GTM machine. Lead lists, enrichment, sequences, and tooling, from scratch. Own the outbound. Multi-channel outreach and cold calling that turns strangers into leads. Push the deals forward. Work the full cycle with the founders, from first reply to signing. Shape the strategy. Sharpen the messaging and targeting on what real buyers tell you, week after week. We're a London startup removing the bottleneck between the companies that make medical devices and the regulators who approve them. Too many devices that could change lives sit in review queues. We automate compliance reviews, taking work that costs months down to hours and helping manufacturers move faster with confidence. We're pre-seed, backed by Antler, Meridian Health Ventures and Vento Ventures, plus regulatory-expert angels who helped build our product. You'd build with a small team of senior, high-agency people: Francesco (CEO & co‑founder) spent around a decade in MedTech, bringing multiple life‑saving products from concept to patients. He has lived the compliance pain we're solving. Mihai (CTO & co‑founder) holds a PhD on decision‑making in multi‑agent systems and led research on safe, interactive planning for self‑driving cars. The team is ML and software engineers plus an ex‑Notified‑Body regulatory expert, who make sure what we tell the market holds up to the people who used to sign these files off. We care less about your exact years or your degree than about evidence of results. MedTech or regulated‑industry experience is a strong bonus, but it shouldn't put you off applying. Above all we value fast learners who are determined, adaptable, and hungry. You are adaptable and thrive when priorities shift; AI‑native with the judgment to prioritise quality over volume; results‑oriented, owning outcomes rather than just activity; and empathetic to the unique pressures facing our clients. Strong competence and proven experience (3+ years) doing: Cold outbound (email + LinkedIn). You wrote and ran B2B cold sequences that convert. Show us: sequences you wrote, and your own reply and meeting rates. Cold calling (phone). You cold called successfully as a regular part of a recent role. Show us: conversion rates, and a meeting you booked from a cold call. AI‑automated outbound. You built automated outbound workflows with AI tools (Clay, Apollo, n8n, or LLM prompts). Show us: a workflow you built, the tools behind it, and what it produced. Pipeline generation. You generated B2B/enterprise pipeline. Show us: your own numbers, qualified meetings a month, pipeline value, or quota. Deal management. You ran discovery meetings and advanced multi‑stakeholder B2B deals. Show us: a complex deal you moved forward and how (closing experience is a bonus). Zero‑to‑one building. You built an outbound motion from a blank page. Show us: something you started from nothing, with no inherited CRM or playbook. Writing. You write clear, sharp, human copy. Show us: a short sample; you'll also write live in the case study. Compensation: £60‑75K OTE. Founding equity: real founding‑level ownership. Office: a brand‑new Shoreditch space with multiple terraces and a gym. In person, with flexibility (3 days per week). Health + Pension: Vitality private health cover, with gym‑linked rewards and perks worth using. Pension company contribution. Time off: 25 days' leave plus bank holidays. 30‑minute intro chat. 1‑hour live working session (a real case study where you'll be using AI to solve a problem). 45‑minute in‑person coffee with both founders. References and offer. Klaris is an equal‑opportunity employer, and we welcome applicants regardless of race, ethnicity, gender, age, disability, religion, sexual orientation, or any other protected characteristics. #J-18808-Ljbffr

Build the multi-agent systems that automate work banks currently do by hand. You'll own the orchestration, the auditability, and the evals that make our agents trustworthy. Mid–senior IC 3 days/week in office Visa sponsorship available Thanks for taking the time to consider Tuza. When joining a company at the early stages of its growth story, there's often more than meets the eye. This is our opportunity to help you understand why your next role should be with us. We're based in Shoreditch, spend three days a week in the office, and can sponsor visas for the right candidate. Diversity is a priority for us. We build a better product when the people building it don't all think the same way. If you're still unsure at the end, drop into our offices in Shoreditch and see it for yourself. We build AI agents for banks, taking on the manual work that stops them from growing. Every business that comes to a bank for a financial product gets passed from team to team, sales to onboarding to activation, and so on. Right now, every one of those teams is only ever as fast as the number of people in it. Our agents do that work without the ceiling. To be trusted with it in a bank, they have to be accurate, quick, and accountable, with auditability, explainability and security built in rather than an afterthought. That's what makes banks the hardest place to attempt this, and the place where getting it right is worth the most. We've raised $7 million from Northzone, Connect Ventures and TriplePoint, and work with acquiring banks including Worldpay, Barclaycard and NatWest. We're earlier than that list makes us sound. The problem is real, and banks are already paying us to solve it. We're still experimenting with the product that best surfaces our value, and that's a large part of this job, rather than something that will be handed to you finished. Doing that work is a small but driven team of 12 based in our Shoreditch office who care about their work and its impact. There's also something you might already know us for. We built the UK's first payments price comparison platform, helping small businesses compare providers. It still runs today on MoneySuperMarket, Uswitch and money.co.uk. You won't be working on it, but it's why we know this market so well. • Extreme ownership: you own the outcome of your work, not just the output. If you see something broken or missing, you have the freedom and the responsibility to fix it., • Learning velocity: curious, adaptable, and quick to pick things up. Hard problems require grit, and we embrace them., • Customer-centric: we spend a day a week inside our partner banks, watching problems happen before they're even reported. Product decisions get made in that room, not in a roadmap meeting., • Open and direct: we communicate openly, directly, and with intent., • Develop and optimise AI agents for live banking workflows, • Design review gates, fail-safes, and fallback behaviour, • Build the observability and feedback loops behind agent performance, • Spend time with our partner banks in their offices, and turn what you see there into product changes We're hiring mid- to senior-level individual contributors with at least 4 years' experience. • Exceptional Python and experience orchestrating LLMs with tools like Temporal or LangChain, • AI automation shipped and running in production, • A record of making agents reliable and efficient, • Fluency with data pipelines and integrations We're an early-stage and intentionally lean. That means: • We judge impact by the outcome of work, not the output, • Priorities shift when we learn something new, and we try to communicate why, but it happens, • You'll be given a direction, and the plan is yours to work out This suits people who are comfortable with ambiguity, ask early when context is missing, and would rather ship something good enough fast than perfect something late. It's less suited for those who prefer clear hierarchies, detailed briefs, or predictable roadmaps. That's not a character flaw; we just don't offer that yet. Probation is a mutual check-in. We give feedback as we go, and we expect the same in return. If the fit isn't there, we'd rather know at month two than month six. Our aim is to get candidates through the whole process within two weeks of applying — quick enough to respect your time, thorough enough to keep our standards high. • 20-minute intro call to talk through your background, what you're looking for, and how we work, • 40-minute technical interview digging into products you've built and the decisions behind them, • 3-hour technical assessment, ideally at our Shoreditch office but remote works too, • 30-minute conversation with our CEO, Ed, to close things out and answer anything still on your mind, • A competitive salary and generous equity, • Three days a week in our Shoreditch office, Tuesday to Thursday, and the rest wherever you work best, • 25 days holiday, with flexibility when you need it, • £350 a year towards taking a proper break, • £350 a year towards learning or a hobby, • Smart, kind colleagues who care about the work, • Soundbaths, terrarium making, saunas, cooked breakfasts, barbecues on the rooftop and the occasional Mario Kart tournament #J-18808-Ljbffr

We support peace and prosperity by building connections, understanding and trust between people in the UK and countries worldwide. For 90 years we have shaped brighter futures through education, arts, culture, language, and creativity. Working with people in over 200 countries and territories, we are on the ground in more than 100 countries. We connect. We inspire. Contract type: 1-year Fixed Term Contract Pay band: 7/F Hours: Full time, 36 hours per week Salary:£32,381 – £38,267, depending on the candidate’s experience, plus a £3,300 London Market Allowance Location: UK - London only Closing Date: 4th October 2026 Please note that candidates must have the pre-existing (permanent) legal right to work in the UK at the time of application. Visa Sponsorship and relocation assistance is not provided. The British Council builds connections, understanding and trust between people in the UK and other countries through arts and culture, education, and the English language. We work in two ways - directly with individuals to transform their lives, and with governments and partners to make a bigger difference for the longer term, creating benefit for millions of people all over the world. We help young people to gain the skills, confidence, and connections they are looking for to realise their potential and to participate in strong and inclusive communities. We support them to learn English, to get a high-quality education and to gain internationally recognised qualifications. Our work in arts and culture stimulates creative expression and exchange and nurtures creative enterprise. We connect the best of the UK with the world and the best of the world with the UK. The role sits as part of the Data Evidence and Performance (DEP) team, which is part of the Global Operations function and includes the central oversight and leadership for corporate planning, performance management, evaluation and reporting, the management of strategic risk and of investment, internal audit, shared services, marketing, digital and technology. DEP provides the central leadership and development for the British Council’s Data Analytics and Evidence Strategy working across the organisation with stakeholders to leverage our Data and Evidence assets. This includes driving better data quality through enterprise data governance, designing and delivering data technology and insight solutions, co-ordinating an organisational community of practice for Data Analytics and Evidence, development of the British Council KPIs framework, monitoring and reviewing performance to drive improvement, evaluation, and measurement of impact to help improve decision making. The Associate AI Engineer is part of the Data Science and Analytics team, helping to establish and build the British Council enterprise approach to Data Evidence and Performance. The role is responsible for developing, implementing, deploying and maintaining AI-enabled applications and services, working with data scientists, data engineers and Digital and Technology colleagues. The postholder applies good software engineering, cloud, security and responsible AI practices to deliver reliable, user-centred solutions, while continuing to build their technical capability. Function Support and Service Improvement AI application development: • Work with the Data Scientist and cross-functional teams to develop AI-enabled applications and services, including working closely with data engineering and Digital and Technology teams., • Develop user-facing and backend components using appropriate technologies, including Microsoft Power Apps where suitable and Python or JavaScript-based services where pro-code is required., • Use Azure OpenAI Service, Azure AI Foundry, Azure Machine Learning and other Azure AI services to build and integrate AI capabilities., • Build, test and evaluate AI and generative AI components, including prompt workflows, retrieval-augmented generation (RAG), semantic or vector search and agent-based patterns where appropriate. Application deployment and support: • Deploy AI applications and models to internal customers, ensuring effective integration, reliability, security and functionality., • Monitor and troubleshoot developed applications and services, resolving faults and supporting continuous improvement., • Apply British Council requirements for information security, data protection, accessibility and responsible AI, including appropriate testing and controls for AI-specific risks. Agile Development: • Work in an agile development environment, participating in sprint planning, daily stand‑ups, reviews and retrospectives., • Own defined work packages, prioritise tasks with the team and deliver high‑quality solutions within agreed timelines. Relationship and Stakeholder Management • Support the development of customer‑centric and insight‑led working., • Collaborate with team members, stakeholders and subject matter experts to understand user and business needs, translate them into technical requirements, and communicate progress, risks and technical trade‑offs clearly. Leadership and management (self-development) • Complete British Council induction, mandatory training and role-related learning., • Keep technical knowledge current across AI, software engineering and cloud technologies, applying learning to practical delivery., • Seek feedback and mentoring, contribute to code reviews and knowledge sharing, and take responsibility for continuous professional development. Minimum/essential • Degree-level qualification or equivalent practical experience in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Mathematics, Engineering or another relevant STEM discipline., • Applied AI engineering. Practical experience, gained through employment, internship, academic work or substantial projects, of building AI or machine learning applications., • Programming and software engineering. Proficiency in Python and experience with APIs, JSON, Git/version control and testing. Familiarity with SQL and software development practices., • Generative AI and machine learning. Practical understanding of large language models and common patterns such as prompt engineering, embeddings or vector search, RAG and agentic workflows, plus familiarity with at least one machine learning or AI framework or SDK., • Cloud and deployment. Practical exposure to Azure or another major cloud platform for developing or deploying applications, with an understanding of CI/CD, containers and monitoring concepts., • Responsible delivery and collaboration. Understanding of information security, data protection and responsible AI risks, and the ability to work in an agile, multidisciplinary team and communicate technical issues clearly Desirable • Microsoft AI stack. Experience with Azure OpenAI Service, Azure AI Foundry, Azure Machine Learning or related Azure AI services., • AI engineering tools. Familiarity with frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, LangChain or LlamaIndex, and with vector databases or semantic search., • Full-stack delivery. Exposure to Docker, CI/CD, REST APIs and frontend or low-code development such as JavaScript/TypeScript or Microsoft Power Apps. A connected and trusted UK in a more connected and trusted world. We are committed to equality, diversity and inclusion and welcome applications from all sections of the community as we believe that a diverse workforce gives added depth to our work. The British Council is a Disability Confident Employer. The Disability Confident scheme helps challenge attitudes, increase understanding of disability and ensure staff are drawn from the widest possible pool of talent. We guarantee an interview for disabled applicants who meet the minimum role requirements. We welcome discussions about specific requirements or adjustments to enable participation and engagement in our work and activities. The British Council is committed to safeguarding children, young people and adults who we work with. We believe that all children and adults everywhere in the world deserve to live in safe environments and have the right to be protected from all forms of abuse, maltreatment and exploitation as set out in article 19, UNCRC (United Nations Convention on the Rights of the Child) 1989. Appointment to positions where there is direct involvement with vulnerable groups will be dependent on thorough checks being completed in line with legal requirements and with the British Council’s Safeguarding policies for Adults and Children. #J-18808-Ljbffr

Senior Forward Deployed Engineer, Incydr The work people build is worth protecting, and it's harder to protect than it used to be. AI agents now move at machine speed with human-level access, and a small slip-up can become a very public one. We disrupt cybercriminal activity before that happens. We think fast, go big, and always demand more of ourselves. We work hard, deliver, and repeat. We grow with real determination and put success well within reach. We push each other to be better and expect to be pushed back, in a community built on respect, where everyone is counted. Work Protected. Incydr Product Development is looking for a Senior Forward Deployed Engineer to help make sure customers get the full value of Incydr, from initial rollout throughout the entire time they run the product. As Incydr scales globally across more customers and more complex environments, we're investing in a technical role that sits close to the customer: partnering with our proof‑of‑value engineers, Professional Services team, and customer account teams to help accounts reach full operational health quickly and stay there as their needs evolve. It's a chance to shape a new role at the intersection of engineering and customer success. This is a hands‑on, engineering role that also interacts with customers. You'll be embedded in Incydr Engineering and brought in directly by the teams closest to an account to work on something specific: a technical health check, custom integration work, digging deep into customer problems to find and resolve issues quickly, and even fine‑tuning after deployment to make Incydr fit well inside a customer's environment. You'll be part of the engineering team with access to source code, advanced logging, and telemetry to solve problems directly or partner with other SMEs in engineering as needed. Expect some travel to customer sites, though most engagement happens remotely; day to day, you'll follow the hybrid working model for your local Mimecast office. Mimecast is an AI-First engineering organization. Our teams actively leverage AI‑powered development tools to accelerate innovation, improve code quality, and solve complex cybersecurity challenges at scale. We're looking for engineering leaders who embrace these technologies or are eager to master them quickly. Our AI leadership extends beyond how we build to what we build. Our Mihra AI agent delivers 7x faster threat response for customers, and we're recognized as “Agents of Change” in Human Risk Management. Engineers here work at the intersection of cutting‑edge AI tooling and AI‑powered security products that protect organizations worldwide. Partner with customer‑facing teams, customers, and fellow engineers to quickly diagnose and resolve technical pain points, from deployment hiccups to performance tuning, so customers get the most out of Incydr. Take full ownership of each engagement, from first diagnosis to resolution, working directly with customers along the way, while account teams continue to own the broader relationship. Get full access to the Incydr codebase and deployment tooling, so you can dig into how something actually works yourself and ship a fix through our normal review process when you're the right person to do it. Build and troubleshoot custom scripts and integrations tailored to each customer's environment, using AI tools to move fast rather than reaching for a one‑size‑fits‑all script library. Partner with Incydr Engineering on issues that need deeper product involvement, arriving with enough detail, like repro steps and a root‑cause hypothesis, that they can act on it immediately. Spot early signals, like an account building up untriaged alert volume, and flag them proactively so customer‑facing teams can get ahead of a problem before it grows. Coach and enable a customer's own team, through training, documentation, and hands‑on pairing, so they can confidently run and maintain Incydr themselves. Bring what you learn back to the rest of product and engineering, so patterns you spot across customers directly shape the roadmap instead of being solved once and forgotten. • 5+ years building software, including practical experience troubleshooting or supporting that software directly with customers or in live production environments., • Enough depth across a broad codebase to work independently: comfortable reading and navigating code you didn't write, diagnosing an issue, and contributing a fix through normal review when needed, without waiting on someone else to do the digging., • Practical scripting and integration experience: building narrow, purpose‑built solutions to a specific technical problem quickly, including using AI coding tools to move faster than writing everything by hand., • Genuine comfort owning a technical conversation directly with a customer: running a working session on a live issue, walking a customer through troubleshooting together over a video call., • This is a role that will directly interact with customers and with a variety of internal stakeholders., • Comfort troubleshooting with incomplete information: you're the person who figures out why something is broken in someone else's environment, even when the information is incomplete and a customer's waiting on an answer., • Strong written and verbal communication: translating a technical root cause into something a non‑engineer can act on, and a customer's vague description of a problem into something engineering can act on., • Comfort working daily with AI coding assistants and agents, and interest in building the kind of lightweight AI‑driven tools and playbooks that let customers and internal teams solve problems themselves., • Experience with endpoint agent technology, device management (MDM), or the operational realities of deploying software across large, varied fleets., • Experience with identity/directory sync (for example, SCIM) or enterprise single sign‑on integrations., • Experience building internal tools, playbooks, or automations that non‑engineering teams can run themselves., • Background in a customer‑facing technical role: professional services, solutions engineering, technical account management, support or similar., • Exposure to data security, data loss prevention, or insider risk concepts. The base salary range for this position is £80,000−£120,000 plus benefits. This range represents the minimum and maximum new hire compensation for this role. The position may also be eligible for incentive plans and additional benefits, in accordance with company policy and local regulations. Our salary ranges are determined by role, level, and location with individual compensation also dependent on factors such as qualifications, experience, and skills. Final offers will reflect these considerations and may vary accordingly. Belonging at Mimecast Cybersecurity is a community effort. That’s why we’re committed to building an inclusive, diverse community that celebrates and welcomes everyone – unless they’re a cybercriminal, of course. We’re proud to be an Equal Opportunity and Aff… We’d encourage you to join us whatever your background. We particularly welcome applicants from traditionally underrepresented groups. We consider everyone equally: your race, age, religion, sexual orientation, gender identity, ability, marital status, nationality, or any other protected characteristic won’t affect your application. Due to certain obligations to our customers, an offer of employment will be subject to your successful completion of applicable background checks, conducted in accordance with local law. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. We save companies the embarrassment of awkward data slip ups by disrupting cybercriminal activity. We think fast, go big and always demand more. We work hard, deliver – and repeat. We grow with meaningful determination. And put success well within our reach. We empower each other, live by our values, and always deliver on our purpose. We push each other to be better and expect to be pushed back. This is a community of respect. Where everyone is counted. #J-18808-Ljbffr

Odeko is the all-in-one operations and technology partner to more than 20,000 independent coffee shops, cafes and other food establishments. Through the Odeko web portal and mobile app, customers can purchase supplies from hundreds of national and local brands, track ordering trends, finance equipment, and access insurance. Customers that use Odeko can increase their revenue, reduce their environmental footprint, and save significantly on their cost of goods and time spent on vendor management. Odeko is on a mission to continuously develop technology to champion your neighborhood cafes, coffee shops, and other independent F&B establishments. Local coffee shops and cafes are the backbone of any given community, and we’re here to help manage the day-to-day tasks with a platform so intuitive, it’s kinda like magic. The Odeko team is diverse, passionate, and innovative. Our 400+ employees are spread across numerous departments and business lines, but are single-minded in our mission to develop technology to support the many needs of our customers. We believe that small businesses need support now more than ever, and that Odeko is uniquely positioned to provide that support. We're hiring a Senior Product Engineer who wants to own problems end to end. You'll talk to the people who have those problems, decide what to build, build it across the front end, back end, and data layer, ship it, and measure whether it worked. You will have the autonomy and authorization to make design, product, and architecture decisions within guidelines set by design and engineering leaders. You’ll build with AI agents as your default tooling. At Odeko, AI-assisted development is a professional standard and engineers are measured on how well they direct, review, and take responsibility for that output. This role assumes you already work this way and what we're hiring for is the judgment about what to build and whether it's right. Key Responsibilities: • Own product outcomes, not tickets. Take a problem from a café owner, warehouse lead, or account manager through discovery, scoping, build, launch, and follow-up, with a lot of autonomy in how you get there. We value results over process., • Work across the full stack: React Native/Web front ends, Ruby/Rails and TypeScript services, AWS infrastructure, and the data underneath — moving to wherever the problem lives., • Spend real time with stakeholders: sit with operations, join customer calls, visit a warehouse. Turn what you learn into decisions about scope, sequencing, and trade-offs, and be able to explain those decisions to non-engineers., • Prototype fast and iterate toward the best experience for cafés and users., • Build with AI agents as your primary mode of development: planning and decomposing work for agents, running parallel agent workflows, reviewing generated code critically, and maintaining the tests and guardrails that make agent output safe to ship., • Raise the team's bar: mentor other engineers, share agent workflows and prompts that work, and contribute to our AI engineering standards., • 6–10+ years of professional software engineering experience (or equivalent), with a track record of shipping and operating production applications., • Demonstrated product ownership: you can point to things you've shipped where you made the calls on scope and design, not just implementation. You've worked directly with customers or operations staff and changed what you built as a result., • AI-native development as your default practice. Concretely: you use an agentic coding tool (Claude Code, Codex, Cursor agent mode, or similar) to produce the majority of your code; you plan and decompose work so agents can execute it; you review agent output with the same rigor as a colleague's PR and own the result. We'll ask you to demonstrate this live in the interview loop., • Strong written and verbal communication with product, design, and operations audiences. You can explain a technical trade-off to a warehouse manager and a business trade-off to an engineer., • Experience in a startup or similarly fast-moving, innovative environment with a track record of delivering scalable, mission-critical production applications., • Experience building LLM-powered product features: retrieval, tool use, agent workflows, evaluation and observability of model output., • Familiarity with Ruby/Rails, React, Federated GraphQL, Kafka, Kubernetes, Docker, microservices, and NetSuite., • Experience in logistics, supply chain, marketplace, or other operations-heavy products., • Design sensibility: comfortable making reasonable UI decisions without waiting for a mockup. Compensation for this role is £90k-£100k annually depending on experience. • Fast-paced environment and growth opportunities - plenty of room for you to directly impact the company and enhance your career!, • Competitive compensation, healthcare benefits, and opportunity for equity, • Other great perks - Full lists of benefits available upon request Odeko is proud to be a diverse, equitable, and inclusive employer. We encourage all to apply regardless of educational background, race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in a confidential file. As set forth in Odeko’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law. If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows: A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability. A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service. An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense. An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985. #J-18808-Ljbffr

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

Most “AI agent” roles right now are a slide deck and a vague vision. This one gives you real clients, real financial processes, and real decisions to make from day one. Trubrics builds AI agents that solve real problems for real estate finance teams - automating the invoicing and payments work that currently eats up their time. We're backed by Pi Labs, live with enterprise clients already, and growing fast. We didn't start here. We began by building tools to help companies evaluate their own machine learning models, before repositioning hard into agentic AI for real estate finance. That pivot is working, and we need two more people to help us build on it. We care most about ownership - even our most junior people are expected to take real responsibility for their work, not wait to be told what to do. Beyond that, we're not into corporate performance, so come as you are. We're collaborative and straightforward with each other, and we expect the same back. And we prioritise by what actually moves the needle for clients, not what looks good on a roadmap - every pilot we've run so far has converted into a paying deployment, which says a lot about how we operate. You'll be our second and third Forward Deployed Engineers, joining our first FDE hire, who's been doing this since earlier this year and can show you the ropes. This isn't a role behind a product team, shipping features into a queue. You'll be embedded with real clients, building and deploying agents that solve their actual invoicing and payments problems, and staying close enough to see whether what you've built actually holds up in practice. Early on, that looks like: • Maintaining and improving agents already live with clients - fixing bugs, incorporating feedback, learning how the systems actually get used, • Getting properly under the hood of our stack: Python, GCP, Temporal for workflow orchestration, and the OpenAI Agents SDK across OpenAI and Anthropic models As you build trust and experience, that grows into: • Owning delivery and enhancement work independently, • Sitting in client workshops and leading implementation conversations, • Eventually running full engagements for new clients from scratch - discovery, scoping, design, deployment, • Strong Python experience - non-negotiable, since that's what our agents are built in, • Demonstrated curiosity of how far to push AI coding - you are constantly asking yourself how much dev you should delegate to Claude Code, • Solid early-career experience as a software or ML engineer - you've already shipped real, production code, even if you're not chasing a senior title yet, • Real, demonstrable interest in building with AI - side projects and self-directed learning count, you don't need professional agentic AI experience, • Comfort with ambiguity - we don't have every process defined yet, and we're not looking for someone who needs that before they can act, • The ability to explain what you're building to people who aren't engineers - our clients are finance teams, not developers, • Genuine curiosity about the commercial side of what you're building, not just the technical challenge You don't need to have worked at an AI-native company before, that's exactly the kind of profile that's worked well for us already, and it's who we're looking for again. But if you have got that experience and you're still keen, we'd love to hear from you too! • A real estate, finance-ops or ERP background - we'll teach you what matters, • £60,000-£70,000 depending on experience, plus equity - a Share Option Pool is already in place, • Direct, hands-on time with both founders - Joel on the commercial side, Jeff on the technical side - through onboarding and beyond, • A real say in how things get done. You'd be hire two or three at a company about to reach six people - a lot of “how we work” is still being shaped, • A genuine path forward - strong performers here can expect to grow into Senior FDE, and beyond that, into leadership as the team scales We work from our office near Tottenham Court Road, typically five days a week, with occasional flexibility when it's needed. If you're looking for a remote-first or hybrid-first role, this isn't it. We think being in the room together, especially at this stage, is part of how we build well. Better you know that now than three interviews in. On process: it starts with a conversation with Jake at ISL Talent, then a 30-minute conversation each with Joel and Jeff, followed by a paid, in-person working half-day - real project work, so you get a genuine feel for the role before anything's decided. We move quickly once someone's the right fit - typically a matter of weeks, not months, from a strong first conversation to an offer. #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

Senior AI EngineerLondonApply for this job Permanent Experienced Professionals Software Engineering ID 564083-en\_GBJob Title: Senior AI EngineerLocation: LondonAbout the Job you are considering:Join the AI Engineering Team within the Digital Delivery pillar of EMEA Corporate Technology AMD, responsible for delivering innovative AI-powered solutions across the organization. The team designs, develops, and supports enterprise-grade AI applications, including Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI solutions.Hybrid working:The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.Key Responsibilities and Experiences Collaborate with Digital Transformation (DXT) teams and business stakeholders to understand business requirements, contribute to opportunity assessment and prioritization, and define measurable success criteria for AI initiatives. Design, develop, and deliver scalable AI solutions, including Generative AI, Retrieval-Augmented Generation (RAG), Agentic AI, and intelligent automation capabilities aligned to business objectives. Evaluate technology, model, and platform options, providing recommendations based on business value, cost, risk, strategic alignment, scalability, and long-term supportability. Follow Systems Development Lifecycle (SDLC) and governance processes, ensuring appropriate planning, documentation, testing, release management, risk mitigation, and stakeholder reporting. Drive adoption of engineering best practices, architectural standards, reusable frameworks, and quality controls to ensure secure, reliable, and maintainable AI solutions. Partner with architecture, engineering, security, and infrastructure teams to ensure AI solutions meet enterprise standards for performance, resilience, compliance, and operational excellence.Required Skills 10+ years of experience in technology delivery, software engineering, platform engineering, data science, machine learning, or AI solution development. Minimum 2+ years of hands-on experience designing and delivering custom Generative AI solutions on Microsoft Azure (preferred) or AWS. Strong experience building and operating production-grade Generative AI applications, including: Retrieval-Augmented Generation (RAG) AI Agents and Agentic Workflows Prompt Engineering and Prompt Optimization Model Evaluation and Observability Frameworks LLM Fine-tuning and Adaptation Techniques Hands-on experience with Azure AI Foundry, Azure OpenAI Service, Model Context Protocol (MCP), and modern AI orchestration frameworks. Strong programming skills in Python, with experience developing scalable APIs, AI services, and automation solutions. Experience implementing vector search solutions using Vector Databases such as Azure AI Search, Pinecone, Weaviate, Chroma, Milvus, or similar technologies. Experience working with Large Language Models (LLMs) such as GPT, Llama, Claude, Mistral, or equivalent foundation models. Strong understanding of AI architecture patterns, including grounding, retrieval pipelines, context management, agent orchestration, guardrails, and responsible AI practices. Experience integrating AI solutions with enterprise systems, data platforms, APIs, and cloud-native services. Knowledge of MLOps, CI/CD, monitoring, model lifecycle management, and production support processes. Familiarity with cloud security, governance, risk management, and compliance requirements for enterprise AI solutions.* Strong stakeholder management, communication, and problem-solving skills, with the ability to translate business requirements into scalable technical solutions.We are a Disability Confident Employer:Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who: Declare they have a disability, and Meet the minimum essential criteria for the role.Please opt in during the application process.Make It Real (what does it mean for you): You’d be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy. You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more.* You will be joining one of the World’s Most Ethical Companies, as recognised by Ethisphere for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.Why you should consider Capgemini:Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.About Capgemini:Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion. Make it real | www.capgemini.com #J-18808-Ljbffr

Note: Partly is headquartered in Austin, TX with offices in London, UK, Christchurch, NZ and Auckland, NZ. Wherever you're based, we'll connect you with your nearest office for onboarding, and fly you to join the full team for our quarterly "Season Openers" (we cover travel and accommodation). If you're relocating to join us, we can also assist with relocation costs. Founded by ex-Rocket Lab engineers, we utilise bleeding-edge technology to solve challenging but exciting problems that make a huge impact in a $1.9 trillion industry. We've more than tripled our team over the last 12 months and expect to double in size again over the coming 12 months. We're a global team spanning both Europe and Australasia. We provide a scalable digital infrastructure solution to some of the world's largest businesses and the most exciting startups. Partly's solutions are integrated across hundreds of companies globally, providing the backbone for cataloguing and managing parts online. Our investors in Blackbird Ventures (Canva, CultureAmp etc.), Square Peg, Octopus Ventures, Icehouse, Peter Beck (Rocket Lab), Akshay Kothari (Notion Co-Founder) and Dylan Field (Figma Co-Founder). We're continuing to build a world-class team and ensuring Partly is a place where people can do the best work of their lives. We're proud of the culture we've built at Partly, and our values are lived throughout every experience. This is the first hire of its kind at Partly. You are the first Enterprise Account Manager, so there is no playbook and no ramp to inherit. You will work out what makes a group go from signed to ordering most of its parts through us, prove it on your own accounts, and write the motion the next people run. Do this well and this becomes a team, and you have a claim on leading it. • Own the go-live of every site in your book, from signature to first order, and carry the number for how many are live rather than how many are signed, • Run the rollout with each group's head office: site lists, sequencing, who trains, what the first week looks like, • Own the rollout of our flagship agentic capability, across your groups. You are the person who takes it from a handful of sites to the way these businesses work., • Run the pilots and prove the case with the customer's own data: hours out of the parts process, margin won, jobs touched. Then get it out of the pilot site and across the group, • Find the next job worth giving to an agent. You will sit closer to how a bodyshop actually runs than anyone else at Partly, and most of that day is still manual. Come back with where the next one is and the evidence for it, • Feed what breaks straight to product, in detail, so Repair AI is built against real shops rather than assumptions, • Carry the commercial relationship: rates, rollout commitments, renewals and the terms that come with them, • Structure deals so both sides win when adoption rises, and hold groups to what they committed to, • Escalate to the Sales Director when a group's economics do not fit the standard shape, with a proposal rather than a problem, • Work out what makes a group go from signed to ordering, and what makes one stall. The pattern is not written down anywhere today, • Prove it on your own book first, then turn it into something repeatable: the rollout sequence, the pilot, the proof, the conversation that changes how a site buys, • Make it survive you. The measure is whether the next person can pick it up and get the same result, not whether you personally carried the number, • Write it so the next hire can pick it up and get the same result. If you do, this seat becomes a team and you have a claim on leading it, • Can design the playbook, not just run one. There is no template for this seat and no ramp to inherit. You will work out what actually moves a signed group from live to ordering, prove it on your own accounts, and write it down so the next person can run it, • You have carried and hit a number on existing accounts, through adoption and expansion rather than new logos alone, • Commercially credible and self sufficient with account data. You can diagnose an account and build your own views rather than waiting for someone to build them, • Comfortable where the playbook is still being written, and happy to write it, • Willing to get into the market. Our customers are bodyshops and the job does not work from a desk, • (Bonus) Automotive aftermarket, collision repair or parts distribution background, or having sold a product where usage rather than signature is the paid event Please note: if you don't have all the skills or experience listed above but believe you could be outstanding in this role, please still consider applying. Many people count themselves out. We'd love the chance to learn more about you and why you're exceptional. Healthy, Catered Lunches - Enjoy fresh, healthy lunches every workday in our Auckland, Christchurch, London, and Austin offices. With no meal prep needed, you can eat, connect, and refuel with your team. (And yes, snacks and drinks are always on hand.) • Healthy Body, Healthy Mind - We care about performing at our peak. Every team member gets a $1,500 annual wellness allowance (or local equivalent) on a Partly-branded card. Use it on things such as gym memberships, rock climbing, physical therapy, massage, doctor visits, prescriptions—anything that you or your family need!, • Family Comes First - Primary caregivers receive 3 months of fully paid parental leave, plus a flexible return-to-work plan (four days a week at full pay for your first three months back)., • Workspaces That Inspire - Our brand-new, architecturally designed offices are built for collaboration and creativity, with great coffee, social spaces, and some of the best cafes just a few steps away., • Getting Here Is On Us - If you commute to a Partly office or coworking space (atleast 4 days a week), choose from a paid 24/7 parking spot or a commuting allowance. One less thing to think about!, • Office-First with Flexibility - In cities where we have an office (Christchurch, Auckland, London, and Austin), we default to working from the office every day. This lets us move faster, make better decisions, and build strong relationships. We also operate with a high-trust environment, so you can manage your time around your life and flex your schedule to do your best work., • Time Off - you can use your annual leave and sick leave from day one, no waiting to accrue it first. And if you ever go into a negative balance, that's fine too, we trust you to manage your own time off, • We Celebrate Together - From weekly happy hours and monthly lunches to quarterly season openers and an annual global offsite, we make time to connect, celebrate, and have fun as one team., • Giving - We support charitable giving and will top up your donation by 33% for charities on the GiveWell list, • Equity - You'll receive share options (ESOP) with a 4-year vesting schedule and a 1-year cliff, true ownership in Partly from day one. Your strike price is a flat $0.01 per share, and you have up to 10 years to exercise. #J-18808-Ljbffr

You would be among the first engineers here, which means you get to own a surface end to end, from the ontology underneath it all the way to what a customer sees. The ontology is the layer underneath everything we ship. Calls, email, documents and CRM fields resolve onto one typed record per deal today, and that list will grow. This layer should reach wherever a company keeps a model of its own business: a warehouse, a ticketing system, a billing platform, a product analytics tool. Every agent, flow and screen reads from it. What is live today, and where the next few years of work sit: • Extraction that turns a conversation into commitments, objections, stakeholders and competitors, each carrying the passage it came from, • A flow engine that runs typed graphs of blocks when a call finishes processing, or on a schedule, • An agent that answers questions about a pipeline and shows the queries it ran to get there, • A notetaker that joins on Zoom, Google Meet and Microsoft Teams and resolves every call onto the deal it belongs to, • Several years building software that other people depend on, in whatever stack you learned it in, • Fluent in Python or TypeScript. We use both, and we care more that you can pick up the other one than that you already have, • At home in a relational database, and able to say why one schema is better than another, • You have looked after something in production, and stayed for the deploy, the incident and whatever came next, • You would rather ask a customer than guess Useful, and not required: LLM-backed systems, event-driven or asynchronous processing, or any exposure to CRM and go-to-market data. You do not need to have worked in sales software. You do need to find it interesting that a deal can stall for a reason nobody wrote down. Equity in the company, so what you help build here is partly yours. A surface of the product to own, rather than a queue of tickets to work through. And on a team this size, when you find something wrong you can fix it that week, without asking anyone. #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

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. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at: www.accenture.com/song As an Agentic AI & Commerce Architect, you will lead the end-to-end technical design and delivery of production-grade agentic commerce systems for global enterprise clients. You are responsible for defining the overall system architecture, selecting and governing AI/ML and platform technologies, and ensuring solutions are scalable, secure, and embedded into live enterprise commerce environments. You will partner closely with development, DevOps, data engineering, and client teams to translate agentic commerce strategy into executable, production-ready architecture. This is a high-impact role at the intersection of two rapidly converging disciplines — enterprise commerce and agentic AI. The primary hiring dimension is agentic AI architecture at enterprise scale; commerce depth is strongly preferred, and candidates with strong AI credentials and adjacent platform experience will be considered. • Design and document multi-agent architecture blueprints, agentic orchestration patterns, knowledge and semantic layer blueprints, AI governance blueprints, and AgentOps/LLMOps architecture, • Design the knowledge architecture underpinning agent intelligence: embeddings pipelines, vector retrieval, and semantic search — structured around commerce-specific intent, product relationships, and category hierarchies, • Architect the integration layer connecting agentic systems to enterprise commerce stacks (OMS, PIM, DAM, CRM, payments, pricing, fulfilment) via API gateways, event buses, and emerging agentic protocols (MCP, A2A, ACP, UCP), • Lead build vs. buy decisions across LLM platforms, orchestration frameworks, vector stores, and agentic workbenches; design multi-model routing strategies to avoid single-provider lock-in, • Embed AI governance, observability, and guardrail design as first-class architectural concerns — audit logging, human-in-the-loop escalation, adversarial testing, and compliance controls — not retrofitted after deployment, • Lead large-scale agentic commerce implementations across Salesforce Commerce Cloud, Adobe Commerce, SAP Commerce, and composable/MACH stacks — embedding agentic AI into live production environments, • Translate agentic commerce strategy into executable platform roadmaps grounded in the client's existing commerce stack and data estate, • Lead architecture workshops with senior client stakeholders, presenting clear options with defined trade-offs, timelines, and business outcomes, • Develop TCO models, effort estimates, and phased delivery roadmaps, • Provide architectural leadership across distributed, multidisciplinary delivery teams spanning AI, backend, data, cloud, and DevOps, • Guide the path from prototype to production — defining the architectural runway that enables rapid, CI/CD-enabled scaling of agentic solutions, • Define and oversee the AgentOps/LLMOps framework: establishing standards for production monitoring, tracing, model evaluation, and continuous improvement across delivery teams, • Define KPIs to measure agent performance, conversion uplift, operational efficiency, and ROI, • Shape Accenture Song's Agentic Commerce architecture standards, reference architectures, and reusable accelerators, • Create industry-specific POVs, demos, and proposal assets for commerce pursuits, • Engage C-suite stakeholders and grow engineering talent within the practice, • 8+ years in AI/ML systems, with demonstrable experience designing and delivering Generative AI and agentic AI systems in production, • 4+ years enterprise commerce delivery on one or more of: Salesforce Commerce Cloud, Adobe Commerce, SAP Commerce, or composable/MACH stacks — or equivalent depth in adjacent enterprise platform delivery with a clear trajectory into commerce, • Proven experience designing LLM-based systems: RAG, tool-calling, multi-agent orchestration, reasoning workflows, • Experience with vector retrieval architectures and embedding pipelines in production (semantic search, RAG), • Experience designing AI governance frameworks: auditability, HITL, red teaming, compliance controls, • AgentOps/LLMOps: observability, tracing, and model evaluation in production, • Commerce stack integration: OMS, PIM, DAM, CRM, payments, and fulfilment systems, • Proficiency in Python, agent frameworks, vector databases, APIs/microservices, distributed systems, • Cloud delivery on AWS, GCP, or Azure; CI/CD and cloud-native architecture, • Demonstrated leadership of complex, multi-region enterprise programs, • Experience with agentic commerce protocols: MCP, A2A, ACP (OpenAI), UCP (Google), • Hyperscaler agentic platforms: Google Vertex AI / Agent Dev Kit, Azure AI Foundry, AWS Bedrock Agents, • GEO/AEO content architecture: structuring product data for LLM discoverability 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. #LI-EU SNGCR01 Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com We believe that no one should be discriminated against because of their differences.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law.Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. Bring your incredible skills and join our global team of innovators. We come together from different backgrounds across the world and work with the latest technologies to create value and growth for our clients. With us, you’ll continue to learn and grow so you can advance in your career. Your personal dreams and ambitions are just as important to us; that’s why we offer support any way we can—when you thrive, we all thrive. Explore your next step at Accenture Belong. Grow. Thrive. Join agreat place to work for reinventors who drive meaningful change for our clients, communities, and the world. Wo rld. Explore your next step at Accenture #J-18808-Ljbffr

Every city, county, and school district buys things. Roads, software, cleaning services, IT infrastructure. The total is somewhere north of two trillion dollars a year. And almost all of it moves through procurement processes designed for a different era: slow; paper-heavy; opaque and exhausting for everyone involved. Civic Marketplace was built to fix that. We're a modern, data-driven platform where government agencies discover, evaluate, and engage suppliers. Where businesses, especially smaller and growing ones, can actually find and win public sector work without needing a dedicated contracts team to navigate the maze. We're past the point of proving this works. Agencies are live on the platform, real money moves through it, and we're now combining that marketplace infrastructure with AI in ways that could genuinely transform how procurement works. Not just incrementally but structurally. None of it works without data that can be trusted. Procurement is a data problem before it is a software problem: who the suppliers actually are, what they can genuinely deliver, which contracts an agency is already entitled to buy from, what this thing cost the county next door. That information exists, scattered across thousands of agency portals, state registries and PDF attachments, in no agreed format, and nobody has assembled it properly. Whoever does gets to define how public money is spent for the next decade. That's this role. The hard part isn't moving data from one place to another. Any engineer here will tell you the pipelines are the easy half. The hard part is that public procurement has no shared vocabulary. The same supplier turns up as four different legal entities across three registries, and two of the spellings are wrong. Commodity codes are applied inconsistently, or not at all. A cooperative contract one agency can buy from today is invisible to the agency next door because it was published as a PDF on a portal with no API. Every source you touch is incomplete, inconsistent, or both, and most of it is public record, so you can't quietly correct it. You have to model the mess honestly. And the bar just moved. We recently launched an MCP integration that lets agencies request quotes through Claude, GPT and Copilot. When an agent answers a procurement question, a wrong answer doesn't read like a bug, it reads like advice, and in public spending, bad advice ends up in a council meeting. That puts weight on freshness, lineage and provenance that most product data layers never carry. As we build out our agentic procurement capabilities, the reliability of that data, and how we prepare it for retrieval, becomes our most critical engineering challenge. So this is an entity resolution and data trust problem dressed as a pipeline problem, and it's yours to solve. You'd work out what is actually wrong with the data, which is rarely what everyone assumes, then build the fix so it holds for every source we add next. Not a script per source held together by whoever wrote it. You would be our first dedicated data engineering hire, reporting to Mikey Mo, our Head of Engineering. Data work today sits with the product engineering team and gets done alongside shipping features. It works, but it belongs to whoever last touched it, and that isn't a foundation for what comes next. To give you a sense of the gap: awarded quotes that slip through the platform get manually caught by our commercial team and hand-entered into HubSpot instead. Supplier onboarding data follows the same pattern. So as and when the platform and HubSpot become out of sync, it makes it difficult to say with confidence which one is right. This is a build-and-do role. You'd collaborate closely with our Head of Engineering to shape the architecture, and you'd also write the pipelines, carry the pager for them, and go and read the raw source when a number looks wrong. If you're looking for a role where you set direction in isolation and hand implementation to other people, this isn't it. If you want substantial responsibility and scope as a function lead alongside our Head of Engineering while still enjoying the craft yourself, it very much is. You would not be starting from nothing. There's a live platform with real transactions running through it, a product engineering team who know where the bodies are buried, and access most people in this field would have to scrape for: Civic Marketplace is a member of the NIGP Business Council, with real partnerships across councils of governments. Most people doing this job spend their first year getting the data access. You'd start with the door already open. Five things, and the freedom to decide how. Trust in the data. The north star. A golden, trusted dataset that powers Civic Marketplace's analytics, so when someone asks how many quotes were awarded last quarter, or how much GMV we've captured, there's one number, and it's right. You'd own the diagnosis and the fix. Ingestion. Pipelines that pull supplier, agency, solicitation and contract data out of sources never designed to be read by anything but a person. Reliable, observable, and cheap enough to add the next source without a meeting about whether it's worth it. The canonical model. One supplier, one record, across every spelling, trading name, subsidiary and registry identifier. One shared definition of a contract vehicle, a commodity, an agency, that product, sales and customer success all use and none of them argue with. This is the unglamorous part that makes everything downstream possible. The system underneath. Testing, lineage and freshness, so when the platform tells an agency something we know where it came from and when. And self-serve data for product, customer success and analytics, so nobody queues behind an engineer for a number. Everything you build should work for the next source without you in the loop. This is where AI earns its place, turning what is currently hand-checked into something repeatable. Agentic data infrastructure. As we scale our use of AI-native procurement, you will own the data layer that powers our agentic workflows. This goes beyond standard retrieval. You will design ingestion and storage strategies, including optimizing vector pipelines like Pinecone for RAG, to ensure our agents have the high-fidelity, context-aware data necessary to perform reliably in production. You'd work closely with product engineering, customer success and our Growth Lead. Application feature work stays with the product engineering team, so you're not competing for that ground. You own the layer they build on top of. We use Claude daily, across content pipelines, community response and internal knowledge, and increasingly inside the product itself. That's real, not a line in a job ad. For this role it cuts two ways. There's how you work: source profiling, schema mapping, test generation, the documentation that otherwise never gets written. Most of that is now automatable, and we expect you to automate it. And there's what you build: the data layer that decides whether agentic procurement is trustworthy or embarrassing. The second is the harder and more interesting problem. What we care about is not whether you can use it. Everyone says they can. It's whether you reach for it to make something repeatable. The difference between someone who writes pipelines faster and someone who builds the tooling that means the next hundred sources don't each need hand-holding is the difference we're hiring for. If you've built data quality tooling, evaluation harnesses, retrieval pipelines or automated documentation from scratch, tell us about them. If AI has changed how you think about the work and not just how fast you produce it, we especially want to hear that. Our stack: Snowflake, Postgres, dbt, Fivetran, HubSpot, PostHog, Metabase. Data engineering experience in a startup or scale-up, where you've built the platform rather than inherited one Strong SQL and Python, and the judgement to know when the warehouse is the wrong place to solve a problem A data model you designed that other people had to live with, including the parts you would do differently now Real experience of messy external sources: half-documented APIs, flat-file drops, scraped pages, PDFs, and data you neither control nor can correct Entity resolution or record linkage experience, or clear evidence you'd be good at it. This is the centre of the job, not an edge case A commercial head. You can tell the difference between a data problem that's blocking revenue and one that's merely interesting, and you sequence accordingly The instinct to find out why a number is wrong before proposing a fix. Sometimes it's the pipeline, sometimes the model, sometimes the source was always like that, and those need different answers The instinct to build systems that scale rather than pipelines that run once Genuine AI fluency, in the sense above The determination to stay positive through the ups and downs of a fast-moving startup, and to find a path through problems rather than wait for conditions to be right Comfort operating remotely across timezones with real autonomy and not much oversight Curiosity about why public sector data is different. You don't need to have done it. You do need to want to understand it Govtech, public sector or civic tech background, or experience working with public records and open data Familiarity with supplier and procurement data: SAM.gov and UEI, DUNS, NAICS or UNSPSC, cooperative purchasing, COG or NIGP Experience with search and retrieval, whether OpenSearch, Elasticsearch or vector pipelines (like Pinecone or Milvus) feeding an LLM product. Bilingual English and Spanish, especially valuable for supplier data quality and onboarding Experience being the first data hire on a team that had been doing it themselves The problem is genuinely important. Public procurement touches every road, school and hospital. Getting it right matters in ways most B2B SaaS doesn't. And you'd be widening access for small and local businesses, which is the part of this that keeps us up at night in a good way. The dataset doesn't exist yet. Most data engineering jobs are being the fifth person to tidy the same warehouse. This one is assembling something nobody has assembled properly: a clean, current picture of who supplies the public sector and what public money actually buys. The scope is unusual. First dedicated data hire, reporting to Mikey, taking substantial responsibility for the function and co-designing the architecture decisions that come with it. You'd own a real piece of it. Equity is part of the package here, and we mean it as more than a line in an offer letter. We're looking for someone who wants to build something they have a stake in, not just a job with a good salary attached. The AI opportunity is real. We're not bolting AI onto existing workflows. We're rethinking what's possible when procurement becomes genuinely agentic, and the data layer is the part that decides whether any of it can be trusted. People who care. Small team, direct access to founders, genuine investment in doing things well. We move fast, but we don't move sloppy. Build bridges to help customers win. We are obsessively focused on helping both agencies and suppliers succeed. That's not a value statement. It's the job. High velocity, high ownership. We move quickly, make decisions, and take responsibility for outcomes. There's no one to hand things off to and no one to hide behind. In the arena. We stay close to our users. We learn from them directly. We build based on what we see, not what we assume. Learning quotient. Rapid iteration isn't just a process. It's a mindset. We'd rather be wrong fast and right eventually than slow and cautious throughout. And because we work in public procurement, how we do things matters as much as what we achieve. We hold ourselves to the standards our agencies are held to. All interviews are via video conferencing by default. We'll ask you to walk us through something you've built and the decisions you'd make differently now. We'll also set you a short exercise on genuinely messy source data rather than an abstract algorithm puzzle, because reasoning about real data is the job. We'll talk about how you think, not just what you've done. And we'll tell you everything we know about where Civic Marketplace is going, because we want you to be choosing us as much as we're choosing you. Competitive salary and early-stage equity Comprehensive medical, dental, and vision insurance Flexible PTO Remote-first, with real flexibility across timezones (Remote, USA; London, UK) Full AI tool stack: Claude Pro, HubSpot, Make, Notion, and more Regular team offsites, including international meet-ups (ask us about Reykjavik!) Direct access to the founding team and a front-row seat to building something that matters Civic Marketplace, Inc is an equal opportunity employer. We actively encourage applications from candidates of all backgrounds, identities, and experiences. #J-18808-Ljbffr

The traditional property market is full of inefficiency. Sellers are tied to a single agent, a single buyer pool and a single Rightmove listing, with almost no visibility on whether their strategy is working. Flyp changes that. Sellers instruct us, not an agent. We put multiple competing agents on the property at once, manage them actively, rotate out the ones who aren't delivering, and refresh the listing to keep it visible. The seller pays one fee, with no lock-in. We hold the relationship, the data and the decisions.It works because we run it as a marketplace rather than an agency - but running a marketplace is materially harder than running an agency, and that difficulty is this role. We've grown from a handful of instructions a month to consistently signing dozens, with 500+ properties live at any time, 100+ adding each month and thousands of agent partners. The next phase is a step change in volume, and it will only work if the operation gets better as it gets bigger. We are exploring a potential new business development channel focused on sellers of multiple residential units. The opportunity is with the owners of completed or near-completed residential stock who need help either generating income while units are being sold, accelerating sales, or both. The aim is to bring someone in with an existing network of such clients as well other routes to sourcing relevant clients (adivsors,brokers etc.) and build a repeatable and commercially viable new business unit. We want to on sellers of multiple residential units with two core products: A flexible letting solution that allows vacant units to generate income while they are being sold. This could be particularly relevant to developers or owners facing holding costs, interest costs, lender pressure or cashflow constraints. A multi-agency sales solution delivered at sole-agency pricing. This could be relevant to developers or investors who would otherwise instruct a single agent but may benefit from broader distribution and more sales momentum. The first and most obvious target client is small to mid-sized residential developers who have completed schemes but have been unable to sell all of their built stock. These are likely to be developers who are more exposed to cashflow pressure, debt costs or lender pressure, and who may therefore be more open to alternative solutions. A second important target client is investors acquiring bulk residential stock from developers at a discount, with the intention of breaking up the bulk purchase and selling the individual units at closer to market value. For these investors, the opportunity is to generate income during the sales period and improve sales execution on the exit. There may also be other relevant sellers of multiple units, including funds, family offices, landlords, lenders, receivers, administrators, asset managers or other owners of vacant or underperforming residential stock. • We are looking for someone who can help us build this market quickly and intelligently., • The ideal person would have:, • Existing relationships with small to mid-sized residential developers, • Direct access to decision makers, not just junior contacts or general advisers, • A network of introducers who are close to developers at moments of pressure or decision, • Experience originating new business in the residential property market, • The ability to build target lists, identify the right companies, and work out the route into each one, • A good understanding of development finance, new homes sales, bulk sales, investment stock or distressed/slow-moving residential stock, • The confidence to approach senior decision makers and test a proposition that is still evolving, • The commercial judgement to help us understand what is resonating, what is not, and where the real opportunity may sit We are particularly interested in someone who either already knows, or can build relationships with, people who are close to these opportunities before they become widely visible. • Developers, • New Home Builders, • Investment Agents - buying and selling relevant portfolios/properties, • New homes agents, • Land and development agents, • Development finance lenders, • Bridging lenders and mezzanine lenders, • Debt brokers, • Restructuring and insolvency advisers, • Valuers and surveyors, • Project monitors, • QS firms, • Contractors working with smaller developers, • Family offices and private property investors, • Asset managers This is not a passive relationship management role. We need someone who can actively run the channel. • Helping define the most promising target client segments, • Building a target list of relevant developers, investors and multi-unit sellers, • Identifying live schemes with unsold, vacant or slow-moving stock, • Mapping decision makers and routes into each target, • Using their existing network to create warm introductions, • Approaching prospects directly where appropriate, • Testing the Rent While Selling and Marketplace propositions with the market, • Feeding back what is resonating, what objections are arising and where the proposition may need to change, • Generating qualified opportunities for us to assess and convert, • Helping us decide whether this channel can become a viable, repeatable business unit Success would mean sourcing and closing on rent-whilst-selling opportunities and sales instructions by: Identifying which client segment is most receptive Understanding the best route to market Building a credible pipeline of relevant multi-unit opportunities Securing live conversations with decision makers Generating and closing qualified opportunities for Rent While Selling and/or Marketplace #J-18808-Ljbffr