Live agent jobs in United Kingdom

An independent Heathrow forwarder, is looking for an Airfreight Operations Manager. \n Location - Heathrow Salary up to £60K \n Outline of the Role: \n You will take full ownership of the Heathrow operation: a small team of operators as well as a couple of general admin staff and drivers. This is a hands-on leadership role. You'll run the desk, set the standard and step in on live shipments whenever needed, not manage from a distance. \n The immediate priority is the operation itself: raising service standards, building a proactive customer-first culture and making the business ready to grow. Once that foundation is in place, you'll play a central part in driving growth, and hitting agreed milestones earns you equity in the business. \n Duties Include: \n\n • Lead day-to-day air export and import operations at Heathrow, working live shipments alongside the team\n, • Lift customer service standards and reset the culture of an established team — coaching, setting expectations and tackling under-performance\n, • Own service quality for high-value, time-critical and specialist cargo\n, • Manage airline, handling agent, customs and haulier relationships to secure capacity, rates and reliability\n, • Oversee the warehouse and small fleet, scheduling collections and deliveries efficiently\n, • Ensure compliance with security (RA/KC), customs and dangerous goods requirements\n, • Improve processes and systems so the operation can scale\n, • Help shape and deliver the growth plan once the operation is strengthened, including supporting client development\n\n What our client is looking for: \n\n • Strong, recent airfreight operations experience\n, • Solid working knowledge of both air export and import processes, airline booking, customs and security procedures\n, • Experience leading or supervising an operations team, with the confidence to raise standards and drive culture change\n, • Hands-on mentality: comfortable rolling up your sleeves on the busiest days\n, • Customer-first attitude and excellent communication skills\n, • Commercial awareness: you understand margin, cost control and what keeps clients loyal\n\n

STRATEGIC OPERATIONS MANAGER \n\n • Rendall & Rittner • Competitive • Office Based - London (Vauxhall)\n\n ROLE OVERVIEW \n You will play a pivotal role in shaping how our property management operation delivers for residents, clients and colleagues. Balancing strategic thinking with hands-on execution, you will optimise processes, uplift service quality and drive consistent performance across a diverse London portfolio. \n Working closely with Directors, Property Managers and central functions, you will lead operational initiatives that enhance efficiency, compliance and customer satisfaction. Your calm professionalism and ability to turn data into action will ensure our teams have the clarity, tools and support to excel. \n ROLE EXPECTATIONS \n You will turn strategic goals into practical plans, coordinating people, processes and partners to deliver measurable improvements. Most days you’ll be prioritising initiatives, removing blockers, aligning stakeholders, and ensuring operational disciplines are followed consistently across sites. \n WHAT SUCCESS LOOKS LIKE \n\n • Portfolio KPIs consistently achieved or exceeded, with clear action plans for any variances.\n, • Resident and client satisfaction scores improved and sustained through visible service enhancements.\n, • Efficient, standardised processes embedded, documented and adopted across teams.\n, • Risk, compliance and H&S are proactively managed with audit-ready records and swift corrective actions.\n, • Projects delivered on time and on budget, with transparent reporting and quantifiable outcomes.\n, • Teams feel supported, informed and accountable, with strong cross-functional collaboration.\n\n HOW YOU'LL SPEND MOST OF YOUR TIME \n\n • Leading operational improvement projects that streamline workflows, systems and reporting.\n, • Reviewing performance data, spotting trends and implementing corrective or preventative actions.\n, • Partnering with Property Managers to strengthen site operations, supplier delivery and resident experience.\n, • Overseeing risk, compliance and H&S routines, ensuring timely inspections, actions and documentation.\n, • Coordinating mobilisations, changes and handovers to protect service continuity and standards.\n, • Communicating priorities, progress and results to stakeholders, creating alignment and momentum.\n\n WHO THIS ROLE IS FOR \n\n • You combine strategic thinking with practical delivery, turning insights into sustainable change.\n, • You’re a confident stakeholder manager who builds trust and challenges constructively.\n, • You thrive in a fast-paced environment, prioritising effectively and keeping a steady hand under pressure.\n, • You’re data-informed and outcome-focused, with a passion for great customer experiences.\n, • You bring a collaborative, coaching mindset that lifts the capability and confidence of others.\n\n EXPERIENCE THAT HELPS \n\n • Leading operations within residential property management or a related service-led industry.\n, • Implementing process improvements, service standards and KPI frameworks across multi-site operations.\n, • Managing risk, compliance and H&S in a regulated environment with rigorous record-keeping.\n, • Coordinating suppliers and contracts to drive quality, value and accountability.\n, • Delivering change projects end-to-end, from scoping and business cases to adoption and review.\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 your operational leadership, stakeholder management, data-driven decision-making and approach to improving service, compliance and efficiency\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.

RECEPTION AND CLUB HOST \n\n • Rendall & Rittner • £32,500 • Chelsea Barracks • 2 days (07:00–19:00), followed by 2 days (09:00–21:00), then 4 days off.\n\n ROLE OVERVIEW / DEVELOPMENT DETAILS \n You will be the welcoming face of a world-class residential setting in Belgravia, where elegant architecture frames beautifully landscaped gardens. The development offers residents a calm, club-like environment with round-the-clock concierge, valet parking and exceptional amenities, including a spa, pool, fitness centre and business suites. \n Set just a short walk from Sloane Square and Knightsbridge, with Victoria station within easy reach, this is a refined, service-driven environment. You will help create memorable everyday experiences for discerning residents and their guests, ensuring every interaction feels seamless, personal and polished. \n ROLE EXPECTATIONS \n You will run a polished front-of-house experience across reception and club spaces, greeting residents and guests, managing enquiries and coordinating bookings for amenities. You will work closely with concierge, valet and security teams to deliver smooth daily operations, immaculate presentation and swift resolution of issues. You will anticipate needs, protect privacy and elevate every interaction with warmth and discretion. \n WHAT SUCCESS LOOKS LIKE \n\n • Residents and guests feel genuinely welcomed, known by name and consistently supported.\n, • Club, spa, pool and business suite bookings run smoothly with zero double-bookings and timely room turnarounds.\n, • Reception and amenity areas are pristine, well-stocked and set to brand standards at all times.\n, • Enquiries are resolved on first contact wherever possible, with clear follow-up when needed.\n, • Strong collaboration with concierge, valet and security ensures seamless, safe operations.\n, • Accurate logs, handovers and reports keep the wider team fully informed.\n\n HOW YOU'LL SPEND MOST OF YOUR TIME \n\n • Hosting at reception and in club areas: greeting, signposting and supporting residents and their guests.\n, • Managing calls, emails and walk-up enquiries; scheduling amenity bookings and meeting rooms.\n, • Setting up, resetting and presenting lounges, business suites and pool/fitness areas to a luxury standard.\n, • Coordinating with concierge and valet on arrivals, deliveries and visitor access.\n, • Monitoring stock levels (towels, refreshments, collateral) and raising replenishment or maintenance requests.\n, • Keeping clear records of incidents, handovers and resident feedback.\n\n WHO THIS ROLE IS FOR \n\n • You are a natural host who brings warmth, poise and impeccable personal presentation.\n, • You stay calm under pressure, prioritise effectively and solve problems with initiative.\n, • You respect confidentiality and handle sensitive situations with discretion and professionalism.\n, • You’re a team player who communicates clearly and builds strong relationships across on-site teams.\n, • You’re flexible to work shifts, including evenings, weekends and bank holidays when required.\n\n EXPERIENCE THAT HELPS \n\n • Front-of-house or reception experience in luxury residential, five-star hotel or private members’ club settings.\n, • Managing amenity or spa/fitness bookings and coordinating room setups or events.\n, • Using booking, CRM or property management systems and handling cashless transactions.\n, • Knowledge of health, safety and guest security practices; first aid training is a plus.\n, • Additional languages or local area familiarity (Belgravia, Knightsbridge, Chelsea) to enhance guest support.\n\n WHAT WE OFFER \n\n • 24 Days Including 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 customer service excellence, front-of-house hosting, scenario-based problem solving and teamwork with on-site colleagues\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.

Defence Security Assurance Lead Permanent | Belfast or London (Hybrid) | SC Held, DV Eligible Morela is hiring a Defence Security Assurance Lead for a fast-growing UK sovereign AI scale-up. This is a permanent, full-time role, hybrid from either Belfast or London with travel to customer sites, reporting into the Security Lead. You will need active SC clearance and be eligible for DV. On offer is a competitive salary, pension, equity options and one of the most generous working patterns you will find anywhere. About the Client Our client builds a sovereign AI platform for organisations that can't compromise on security, including defence, national security, central government, policing and heavily regulated industries. They deliver real capability into some of the UK's most sensitive environments, so every feature is threat modelled, hardened and properly assured before it goes near customer data. Security is central to the business and is now getting serious investment. The company is scaling a dedicated assurance function to match its growth in defence, and this hire is one of the founding roles in it. The Role You will own cyber assurance for the products and services delivered to the MOD and to allied defence and national security customers. Your job is to build the evidence-led assurance that customer risk owners depend on, applying Secure by Design for both UK and international partners. You will work with engineering, product, IT, commercial and leadership, and directly with customers and assurance authorities. The scope is broad and will change as the business grows, so it suits someone curious and self-driven who wants a real hand in shaping a security function and a direct influence on new capability for defence. Responsibilities Lead Secure by Design for the product across defence deployments, in line with JSP 440 and JSP 453 Develop assurance cases using a claims, arguments and evidence approach, built to keep pace with rapid agile delivery Assure AI-enabled capability against JSP 936 and the wider MOD framework landscape Apply NIST CSF, RMF, AI RMF and SP 800-53 where they fit Act as the main point of contact for customer risk owners and cyber assurance authorities Help shape and deliver the overall security strategy, and play a key part in building out the security function as the business grows Champion good security practice across engineering teams Essential Requirements Security assurance experience within UK defence or national security, with hands-on application of Secure by Design Working knowledge of JSP 440 and JSP 453, plus awareness of DCPP and Def Stan 05-138 Experience turning technical evidence into robust assurance cases Threat modelling on live systems using STRIDE, attack trees or similar methods CISSP certification Active SC clearance and eligibility for DV Desirable Experience Experience assuring AI or machine learning systems, or knowledge of JSP 936 Understanding of AI attack types such as prompt injection, data poisoning and agent tool misuse, including MITRE ATLAS Familiarity with NCSC secure AI guidance and the UK AI Cyber Security Code of Practice Structured assurance notations such as CAE or GSN, ideally linked to machine-readable evidence Assurance work in air-gapped or classified environments Running, auditing or developing ISO management systems such as ISO 27001 or ISO 42001 Working Environment Permanent, full-time, hybrid from Belfast or London, with travel to customer sites Competitive salary, company pension and equity options in a high-growth scale-up A working pattern that gives back around 30 extra days a year on top of annual leave, with full four-day weeks over the summer and December, regular paid Fridays off and early Friday finishes Cutting-edge AI tools used as everyday working kit A delivery-first culture that values impact over optics and people over politics, with real influence on how the business runs as it grows Interested? Get in touch with Adam Moore at with your CV and current availability. TPBN1_UKTJ

DAY DOORPERSON \n\n • Rendall & Rittner • £27,000 - £28,000 • Centre Point - WC1A 1DB • 4 Days on, 4 Days off, 0700 - 1900\n\n DEVELOPMENT DETAILS \n Step into a landmark luxury residence in the heart of the West End, where panoramic city views meet five-star amenities. You’ll be part of a polished front-of-house team supporting residents who enjoy a 24-hour concierge, pool, spa, gym, sauna, cinema and a private lounge. With Soho and Covent Garden moments away and immediate access to Tottenham Court Road station, the environment is fast-paced, cosmopolitan and service-led—ideal for someone who thrives in a high-profile, hospitality-style setting. \n ROLE EXPECTATIONS \n You will be the welcoming face of the development each day, setting the tone with impeccable service, smart appearance and calm professionalism. You’ll manage the lobby, assist residents and guests, coordinate deliveries and contractors, and keep a close eye on safety, access and standards throughout your shift. \n WHAT SUCCESS LOOKS LIKE \n\n • Residents and guests feel warmly welcomed, recognised and supported from the moment they arrive.\n, • The lobby and entrances are immaculate, orderly and always guest-ready throughout the day.\n, • Deliveries, keys and access are controlled with flawless record-keeping and zero missed items.\n, • Issues are spotted early and resolved quickly, with clear, timely communication to residents and the management team.\n, • Building procedures are followed precisely, including security checks and incident reporting.\n, • Positive feedback is consistently received from residents, visitors and colleagues.\n\n HOW YOU'LL SPEND MOST OF YOUR TIME \n\n • Greeting residents and guests, managing arrivals and departures, and offering local knowledge and directions.\n, • Handling parcels, keys and post, maintaining accurate logs and ensuring secure storage and handover.\n, • Monitoring access control and CCTV, conducting regular patrols and safety checks, and reporting any concerns.\n, • Coordinating contractors and visitor access in line with site procedures and permits.\n, • Keeping the lobby and front-of-house areas pristine, adjusting presentation throughout the day.\n, • Supporting concierge services, amenity bookings and communications with the on-site management team.\n\n WHO THIS ROLE IS FOR \n\n • You’re a people person with a warm, polished manner and a pride in delivering premium service.\n, • You stay calm, discreet and solutions-focused, even during busy periods.\n, • You have high personal standards for appearance, punctuality and attention to detail.\n, • You’re comfortable on your feet and enjoy a visible, guest-facing role in a vibrant city location.\n\n EXPERIENCE THAT HELPS \n\n • Front-of-house experience in luxury residential, hotel or corporate environments.\n, • Familiarity with access control, CCTV or building safety procedures.\n, • Experience managing deliveries, keys and contractor access.\n, • Confidence using concierge or property management systems and email for clear communication.\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 front-of-house service, security awareness, problem-solving and communication in real scenarios\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.

Implementation & Delivery Manager - Rapid-growth FinTech / AI Platform - London / Hybrid – Highly competitive salary \n We have an incredible opportunity for an experienced Implementation / Delivery Manager, with a FinTech background, experience in onboarding and exceptional communication and interpersonal skills, to join a fantastic Fintech AI Platform as soon as possible. \n The Opportunity: \n This is the perfect opportunity to join an immediately successful fintech startup,in a crucial role that is intrinsic to ensuring ongoing success. \n The Implementation and Delivery Manager will undertake a hands-on delivery role in a small, senior team. You will run several concurrent implementations end-to-end, being the client’s key point of contact and you will own the journey from signed contract to clients being live and getting the outcome they have bought. \n Working closely with the Sales and Engineering teams, you will be the voice of delivery internally, feeding back what you learn onsite into product, connectivity and the go-live playbook. \n We’re looking for individuals who have a proven track record of running multiple concurrent implementation projects within treasury, payments, banking or finance software to corporate clients. You will be comfortable dealing with senior-level finance professionals (Treasurers, Controllers and CFOs) and will proactively own outcomes, not tickets – you would rather fix the playbook than repeat a workaround. \n \n Key responsibilities as the Implementation and Delivery Manager will include: \n\n • Implementation delivery – running implementations end-to-end, leading the discovery, coordinating the connectivity, configuring accounts, and owning go-live readiness\n, • Project governance – maintaining a clear plan, running weekly client project calls and internal delivery stand-ups, controlling scope against what was sold and tracking implementation revenue milestones\n, • Managing client relationships – acting as the trusted point of contact from contract signature to steady state, training users, producing the client-specific runbooks and handover pack and identifying expansion opportunities\n, • Internal coordination and improvement – challenging gaps in scope or assumptions before kick-off, feeding product gaps, connectivity issues or recurring issues back to Engineering and Product, owning and improving the implementation playbook and contributing delivery content to RFP responses and client due diligence\n, • AI delivery – mapping client’s current workflows and designing automation, starting with automations that deliver early, visible wins; helping finance teams to build trust in agent-driven work\n\n And more! \n What we’re looking for: \n\n • Demonstrable experience implementing or delivering treasury, payments, banking or finance software to corporate clients – c4+ years\n, • Experience working at a TMS or bank implementing for enterprise clients is highly advantageous\n, • Working knowledge of corporate treasury, FX and investments, intercompany and in-house banking\n, • Experience onboarding bank connectivity\n, • Solid track record of running multiple concurrent implementation / delivery projects\n, • Excellent written and spoken communication skills\n, • Experience liaising with senior-level financial professionals\n, • Exposure to ERP integrations and accounting close processes is beneficial\n, • Experience of, or keen interest in, AI, AI-assisted or agent-driven workflows is desirable\n, • Hands-on experience of configuration, data mapping and UAT\n, • Calm approach – calm under go-live pressure\n, • Good business acumen with an entrepreneurial spirit\n, • Ability and desire to work in a fast-paced, rapid-growth environment\n, • Highly ambitious, driven and focused\n\n \n Interested in this fantastic opportunity? \n If this role is of interest to you and you have the implementation / delivery experience we’re looking for, we’d love to hear from you! Please submit your CV as soon as possible, quoting 'AE – FinTech Implementation and Delivery Manager’ \n

Discover your future at Citi Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact. Job Overview About the Team: Build the next generation of agentic AI. The Applied AI and Agents Factory brings together ambitious engineers to turn advanced AI capabilities into production-ready solutions. Working directly with business and technology teams, you'll tackle complex engineering challenges, build intelligent agents and take ideas from initial concept through to live deployment. This is an opportunity to work at the cutting edge of AI engineering, developing systems that go beyond conversational tools to reason, plan and execute multi-step workflows. You'll build reliable agent workflows, integrate AI with enterprise systems and ensure solutions perform securely and consistently in production. With a strong focus on hands-on engineering, collaboration and rapid delivery, the Factory gives you the opportunity to solve challenging technical problems, develop your expertise and contribute reusable tools and engineering practices that support AI adoption across Citi. If you want to do more than experiment with AI - and build, deploy and scale systems that deliver real business value - this is where you can make your mark. About the Role: The Forward Deployed Engineer is an intermediate-level software engineering position responsible for constructing automated evaluation harnesses, curating regression testbeds, optimizing prompts and output schemas, and automating testing pipelines within embedded LOB delivery pods. The overall objective of this role is to ensure the reliability, accuracy, and safety of production AI agents by building rigorous evaluation suites in Agentflow Studio and driving automated CI/CD test execution. Responsibilities: • Conducts tasks related to the construction, calibration, and execution of automated evaluation test suites using Agentflow Studio, measuring agent task completion, tool call correctness, latency, and hallucination metrics., • Curates and maintains domain-specific golden datasets, synthetic benchmarks, and regression testbeds in collaboration with LOB domain experts and senior engineers., • Optimizes prompt templates, system instructions, few-shot examples, and structured JSON output parsers (Pydantic/JSON Schema) to maximize deterministic agent behavior., • Authors and maintains automated test execution and deployment pipelines within Lightspeed CI/CD, enforcing continuous evaluation gates prior to staging and production rollout., • Utilizes in-depth specialty knowledge of Python applications development to analyze complex agent errors, evaluate system performance, and recommend advanced coding and prompt solutions., • Recommends and implements security measures and Lakera Guardrail policies in post-implementation analysis of agent usage to ensure safe functionality., • Monitors and controls evaluation test cycles, providing operational support, performance metrics, and prompt diagnostic reporting to business stakeholders and squad leads., • Has the ability to operate with a limited level of direct supervision, exercising independence of judgement and autonomy while acting as an evaluation SME to pod team members., • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications:, • Relevant software engineering or systems analysis experience or a specialized focus in Python and Generative AI application development)., • Solid Python programming proficiency, with practical experience integrating REST/gRPC APIs, Docker containers, and Git workflows., • Strong working knowledge of AI evaluation frameworks, benchmarking methodologies (BLEU, ROUGE, semantic similarity, LLM-as-a-judge), and automated testing suites., • Experience in managing and implementing automated test pipelines in CI/CD environments (Lightspeed, Tekton, Jenkins)., • Ability to work effectively under pressure, managing tight sprint deadlines and unexpected changes in model outputs or LOB requirements., • Good written and verbal communication skills with a methodical, detail-oriented approach to software quality and data integrity. Education:, • Bachelor's/University degree or equivalent experience in Computer Science, Data Science, or related quantitative discipline. What we'll provide you This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: • 27 days annual leave (plus bank holidays), • A discretional annual performance related bonus, • Private Medical Care & Life Insurance, • Employee Assistance Program, • Pension Plan, • Paid Parental Leave, • Special discounts for employees, family, and friends Visit ourGlobal Benefitspage to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above.------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View Citi's EEO Policy Statement and the Know Your Rights poster.

Discover your future at Citi Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact. Job Overview About the Team: Build the next generation of agentic AI. The Applied AI and Agents Factory brings together ambitious engineers to turn advanced AI capabilities into production-ready solutions. Working directly with business and technology teams, you'll tackle complex engineering challenges, build intelligent agents and take ideas from initial concept through to live deployment. This is an opportunity to work at the cutting edge of AI engineering, developing systems that go beyond conversational tools to reason, plan and execute multi-step workflows. You'll build reliable agent workflows, integrate AI with enterprise systems and ensure solutions perform securely and consistently in production. With a strong focus on hands-on engineering, collaboration and rapid delivery, the Factory gives you the opportunity to solve challenging technical problems, develop your expertise and contribute reusable tools and engineering practices that support AI adoption across Citi. If you want to do more than experiment with AI - and build, deploy and scale systems that deliver real business value - this is where you can make your mark. About the Role The Senior Forward Deployed Engineer is a hands-on core engineering professional embedded within Line of Business squads. This role is responsible for developing production-grade agent reasoning logic, custom tool integrations, data retrieval pipelines, and resilient execution workflows adhering to enterprise safety, security, and quality standards. Responsibilities: • Agent Reasoning & Logic Implementation: Write clean, modular, production-quality Python code implementing agent reasoning loops, dynamic tool calling, short-term/long-term memory management, and sub-agent delegation., • Tool & MCP Server Development: Build and maintain custom Model Context Protocol (MCP) servers and API connectors integrating AI agents with enterprise systems (e.g., ticketing systems, relational/NoSQL databases, message queues, and internal REST/gRPC microservices)., • Data Ingestion & Retrieval Pipelines: Develop and optimize Retrieval-Augmented Generation (RAG) components, including document parsing, embedding generation, vector indexing, metadata filtering, and semantic search retrieval., • Resilience & Error Handling: Implement resilient error handling, automated retry mechanisms with exponential backoff, circuit breaking, fallback routines, and Human-in-the-Loop (HITL) escalation triggers for ambiguous model outputs., • Structured Output Validation: Build deterministic validation layers using Pydantic and JSON Schema to guarantee structured, type-safe outputs from non-deterministic foundation models., • Safety & Guardrail Integration: Integrate real-time AI guardrail policies for prompt injection defense, jailbreak mitigation, and automated PII filtering/redaction into agent execution loops., • Collaborative Testing & Evals: Partner with C12 engineers to construct automated regression testbeds, curate golden datasets, and integrate automated evaluation suites into CI/CD release pipelines., • Agile Sprint Delivery & Peer Review: Actively participate in agile sprint delivery, technical problem-solving sessions, and peer code reviews, coaching junior engineers on software craftsmanship., • Direct Business Collaboration: Collocates and collaborates directly with Line of Business end-users (traders, bankers, analysts) to observe day-to-day operational workflows and capture nuanced domain logic and edge cases., • Iterative Prototype Building: Rapidly builds, tests, and refines functional agent prototypes and prompt chains based on direct, daily qualitative feedback from business pilot users., • User Friction Analysis: Analyzes user interaction logs and user feedback to identify model failure modes, prompt ambiguities, and UI/UX friction, implementing iterative improvements to agent reasoning., • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citi, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.Qualifications:, • Total Experience: 7+ years of professional software engineering experience, with 4+ years of strong, professional Python, Java, or Go proficiency., • LLM & AI Engineering: 1-2+ years of hands-on experience working with foundation model APIs (e.g., centralized enterprise AI gateways, OpenAI, Azure OpenAI, Google Vertex AI, Anthropic) and integrating LLMs into backend services., • Software Engineering Fundamentals: Solid experience in REST/gRPC API development, Docker, Git workflows, Linux environments, and CI/CD pipelines., • Prompt & Data Engineering: Proven understanding of advanced prompt engineering techniques, structured output parsing, vector databases, and retrieval strategies., • Experience collaborating directly with business stakeholders, product managers, or operational users in rapid, iterative delivery cycles.Education:, • Bachelor's/University degree or equivalent experience; Master's degree preferred.What we'll provide you This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: • 27 days annual leave (plus bank holidays), • A discretional annual performance related bonus, • Private Medical Care & Life Insurance, • Employee Assistance Program, • Pension Plan, • Paid Parental Leave, • Special discounts for employees, family, and friends Visit ourGlobal Benefitspage to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above.------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View Citi's EEO Policy Statement and the Know Your Rights poster.

Job ID: 11756Location: London, England, GBType: PermanentSalary: USD excellent salary, bonus, full bens per yearPosted: 2026-10-29Senior Forward Deployed EngineerLLM, RAG, Agentic AI and Prompt Engineering | Permanent | Remote first, UKA fast-growing, engineering-led AI consultancy is hiring Lead and Senior Forward Deployed Engineers on a remote-first basis across the UK. You will lead the design and delivery of complex client engagements spanning agentic systems, retrieval architectures and semantic layers, working directly inside enterprise client teams.Client demand for AI-led transformation is accelerating and our client is expanding its permanent engineering team across agentic systems, retrieval, ontologies and AI-enabled operations. As a Forward Deployed Engineer, you will work closely with the client, in their workshops and inside their systems, turning real operational problems into working AI solutions.These are senior, hands-on consulting roles that combine deep engineering craft with commercial and product thinking. You will work with senior client stakeholders alongside consulting and delivery colleagues, and lead technical design on your engagements. Prompt design, evaluation and guardrails are central to how you build, so the agents you ship are safe, reliable and measurable once they are live.You will shape both client outcomes and the firm’s long-term AI engineering capability, while staying hands-on in the code.What you’ll doEmbedded client delivery and technical leadershipLead technical design within client engagements and set architectural direction across delivery teamsWork alongside client teams, remotely and on occasional site visits, to understand their workflows, data and constraints first handTurn ambiguous client problems into clear, feasible engineering approaches and fast prototypes for client validationAssess client data, platforms, security constraints and operating modelsContribute to framing, use-case shaping and technical scoping discussionsWork with client domain experts to surface edge cases and operational realitiesProduce clear, lightweight technical artefacts for client and internal audiencesAct as the trusted technical voice on the engagement, from first workshop to go-liveAgentic AI, LLM and RAG engineeringDesign and build LLM applications using modern orchestration patterns, prompt frameworks and evaluation loopsBuild multi-agent architectures covering planning, delegation, tool use, memory, safety constraints and monitoringBuild retrieval and vector-based systems: embeddings, RAG, structured reasoning and semantic workflowsConnect agents to enterprise platforms through APIs, tools, MCP servers and connectorsApply ontologies or knowledge graphs where they improve reasoning and data alignmentPrompt engineering and evaluationDesign, test and version system prompts, tool descriptions and agent instructionsBuild reusable prompt libraries and patterns that hold up across clients and use casesCreate evaluation sets and automated eval loops to measure accuracy, safety and consistencyImplement guardrails, structured outputs and explainability checksDiagnose and fix failure modes such as hallucination, tool misuse and prompt injectionDelivery excellence, AI operations and reliabilityImplement evaluation frameworks and safety checks across models and agentsDesign monitoring, logging, tracing and incident-response patterns for live agentsApply governance, risk and compliance principles within client environmentsSupport releases, environments and handover into client operationsEnsure reliability, reproducibility, performance and cost controlBuilding team capabilityTurn field learnings into reusable agent patterns, templates and acceleratorsFeed client insight back into the wider engineering team and its standardsCoach peers and share new research, tools and techniquesWhat you’ll bringEssential6 to 8 years in software engineering, AI engineering or applied data engineeringStrong hands-on experience with LLMs, embeddings, RAG, retrieval stacks and vector databasesExperience designing or implementing multi-agent systems or tool-calling frameworksStrong prompt engineering skills, including system prompt design, tool use and structured outputsExperience building evaluation frameworks for LLM or agent behaviourStrong Python, with experience building production-grade systemsAt least one major cloud AI ecosystem: Azure OpenAI, Google Vertex AI, AWS Bedrock or AnthropicFamiliarity with semantic modelling, ontologies or knowledge graph conceptsProven ability to rapidly prototype solutions for client validationExperience working directly with clients in consulting or professional servicesDesirablePrevious forward deployed, solutions engineering or technical leadership experienceCommercial awareness and product thinking, including scoping and estimating technical workAgent frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel or the OpenAI and Anthropic agent SDKsLLM evaluation and observability tools such as Langfuse, LangSmith, Arize or BraintrustDeeper ontology or knowledge graph expertiseDomain experience in life sciences, pharma or healthcare, FMCG or retail, insurance, or banking and financial servicesStrong engineers from non-AI backgrounds who have moved quickly into agentic AI and can show what they have built are very welcome.

OverviewJob Title:Global Director of FP&ABrand: HaymarketReporting To: Chief Financial Officer (CFO)Location: Twickenham, Greater LondonHybrid: Yes - 3 days a week in the officeEmployment: Permanent, full-timeABOUT THE JOBThe Global Director of FP&A is a high-impact leadership role within Haymarket’s business, steering the overarching global financial agenda and fostering a culture of commercial curiosity and analytical rigour.The Role The core purpose of the role is to own company-wide financial planning, performance management, and strategic decision support. You will translate complex financial data into actionable commercial insights for the executive team, Brand Managing Directors, and the Board. You and your team will be directly accountable for financial performance and insights supporting businesses and defining best FP&A practices across our global business.ResponsibilitiesKey ResponsibilitiesStrategic Planning & Forecasting: Spearhead the annual budget process, 3-year strategic financial plan, rolling forecasts, and scenario/risk modelling to navigate dynamic market landscapes.Global Capability Building: Champion world-class FP&A standards across all international markets by modernising systems, establishing standardised reporting frameworks, and implementing best-in-class operational practices.Executive & Board Reporting: Deliver high-impact monthly/quarterly group reporting, KPI dashboards, and variance analysis (actuals vs. budget/forecast/prior year), alongside crafting engaging, strategic quarterly board packs that highlight performance stories.Commercial Business Partnering: Partner closely with the C-suite, MDs, and functional leaders to challenge assumptions, evaluate key growth initiatives, foster accountability, and oversee variable pay scheme design.Investment Decision Support: Build robust financial business cases for strategic capital allocation, global pricing strategies, market expansions, and M&A due diligence and integration.Inspiring Leadership: Directly lead, coach, and empower a high-performing UK FP&A team of 8 talented professionals across divisions.Systems & Process Automation: Lead the modernisation of our global FP&A tech stack, eliminating manual spreadsheet reliance and scaling self-service BI platforms.Operational Excellence: Drive seamless, best-in-class execution across trading updates, monthly business reviews, and robust annual budgets.Key RelationshipsWorks closely with the Chief Financial Officer (CFO), Brand Managing Directors (MDs), C-suite executives, and cross-functional leaders to build effective working relationships, share knowledge, provide support and contribute to the successful delivery of business objectives.Skills / Experience / Knowledge / Minimum CriteriaKnowledge, Skills & ExperienceKnowledgeFully qualified accountant (ACA, ACCA, CIMA or equivalent) with knowledge of presenting strategic financial insights to executive leadership.Deep fluency with modern FP&A systems, EPM software, and BI platforms.Understanding of financial processes, budgeting, and commercial sales principles.SkillsExceptional financial storytelling and communication skills, with the gravitas to influence C-suite decision-makers.Outstanding organisational and prioritising skills, with the ability to manage complex global priorities in a fast-paced environment.Strong analytical thinking, with the ability to interpret data and produce meaningful commercial insights.Passion for process automation and continuous improvement.ExperienceExtensive progressive finance experience, including relevant experience in a senior FP&A or commercial finance leadership role within a dynamic global or matrix environment.Demonstrated success in coaching, inspiring, and scaling high-performing finance talent.Experience of building an inclusive, growth-oriented environment.Experience in collaborating with cross-functional teams to deliver business objectives and build financial business cases.About YouInspiring Leader: Leads by example, empowering teams and fostering an inclusive culture.Transformational: Acts as a primary change agent, proactively challenging the status quo and bringing innovative solutions to complex commercial opportunities.Adaptable: Flexible and agile, thriving in dynamic and fast-paced environments.Curious and continuously improving: A tech-savvy innovator dedicated to driving efficiencies.Results driven: Highly focused on uncovering hidden growth opportunities and mitigating risks.What Success Looks LikeDelivery of world-class, standardised global FP&A reporting and KPI dashboards.Successful modernisation and automation of the global FP&A tech stack.High team engagement and the successful scaling of finance talent.Strategic alignment and financial performance targets met across the business.Achievement of strategic objectives, including M&A integrations and seamless annual budgetingAdditional Information Why work with us at Haymarket? Haymarket Media Group values its people and strives to shape a better future with remarkable content. From paid content and subscription services; to integrated advertising and content marketing packages. We deliver market-leading branded experiences that inspire great decisions. From data and digital information solutions to live events, awards and professional education services.Our benefits include: Our Company benefits: 25 days holiday per year excluding bank holidays (increasing 1 day per year of service up to 30 days) Work from anywhere in the world for up to 3 weeks of the year with our ‘Work from Anywhere’ days Flexible working hours (core hours from 10-3) allowing you the flexibility to adapt your work schedule to your personal commitmentsGenerous contributory pension scheme Health Cash Plans: With our health cash plans, you can access a range of healthcare benefits, including coverage for medical expenses, dental care, optical services, and moreDisability Confident EmployerWe are a Disability Confident employer and offer guaranteed interviews to all disabled applicants who meet the above minimum criteria. To be considered as part of this initiative, please ensure you indicate if you have a disability when applying for the post. If you need any reasonable adjustments to enable you to fully participate in the recruitment process, please contact us at recruitment@haymarket.com. More about Haymarket Working here means being part of a commitment to shaping a better future. As a proudly Certified B Corp™, we are part of a global movement of businesses acting as a force for good. Haymarket Impact is focused on making a positive difference globally, guided by the United Nations Sustainable Development Goals and intertwined with an unwavering commitment to equity, diversity, and inclusion. This commitment to balancing profit with purpose is deeply embedded in our culture, reflected in our values of Integrity, Respect, Creativity, Innovation, and Expertise.We invest heavily in our people. From professional development and internal training to mentorship and coaching. Our certified Disability Confident status has fostered an environment where all employees feel supported, valued, and can ask for workplace adjustments without fear of judgment.Our valuable partnerships for good globally mean colleagues are always up for taking on a new charitable challenge, utilise their volunteering day and go out of their way to support their local communities.We know how important a healthy work-life balance is too. Our flexible hours and hybrid working model means employees are expected to be in the office at least three days a week and can work remotely for the remaining two. This means we thrive together when we collaborate in person, fostering stronger connections and creativity, but still allowing for flexibility outside of those times.As an equal opportunities employer, we are committed to ensuring all candidates have the same opportunity to succeed, regardless of sex, sexual orientation, marital status, race, colour, nationality, ethnic or national origin, religion, age, or disability. In line with our dedication to fairness and transparency, we are also proud to be a We Show the Salary employer, pledging to always include pay details on our job adverts.Join us and be part of award-winning teams and a culture that is truly unique - a place to grow, feel inspired, build a brilliant career and make a difference.

Hi I’m Rich Ashworth, Director of Engineering at hyperexponential.I lead the Model Authoring value stream that owns the products our customers use to write and manage their pricing models. An actuary might start with an Excel rater and finish with a Python model that has been reviewed, approved, and is pricing live business. Our job is to turn that into an exceptional user experience and make every step of that credible enough to trust.I'm hiring a Staff Product Engineer to help set our technical direction and build the next version of our products. It's an individual contributor role, but influence is a huge part of it: the standards the pods work to, the shared enablers underneath the product, and the interfaces where our problems meet other teams'. You’ll be hands-on where the risk is highest.There's no established playbook for any of this, but there’s an incredible opportunity in front of us. If this sounds like a role that would excite you, I'd love to hear from you.About hyperexponential (hx)At hyperexponential, we're building the AI-powered platform that enables the world's most critical decisions in a 7 trillion industry, which risks to take, and how to price them. These are the decisions that shape real-world outcomes: whether rockets successfully launch into space, autonomous vehicles make it to market, or communities recover after major storms.Until now, insurance has been making billion-pound decisions using outdated tools. We're changing that. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision - helping them move faster, act smarter, and take on more risk with confidence.Backed by a16z, Highland Europe, and Battery Ventures, we're scaling globally - already trusted by nearly 50 of the world's largest insurers, with zero churn and billions in premiums flowing through hx.What began as a single product in one market has rapidly evolved into a multi-product, multi-territory platform powering every stage of pricing and underwriting. AI is at the core of what we do - from building the world's first domain-specific AI peer programmer for insurance (think GitHub Copilot with a PhD in actuarial science) to shaping agentic workflows that reinvent how this industry operates.What makes hx different is the people who build it. Here, impact isn't tied to title or tenure; it's defined by the challenges you take on and the discipline you bring. Surrounded by peers who stretch you, you'll do the best, hardest work of your life in a company engineered to endure.If that sounds like you, join us in building what comes next.About the Model Authoring teamModel Authoring owns the products our customers use to write and manage their pricing models: the model developer experience and our actuarial agent. An actuary might start with an Excel-based rater and finish with a Python model that has been reviewed, approved and is pricing live business. Our job is to make every step of that credible enough to trust. The team is distributed across our Warsaw and London offices.As the Staff Product Engineer, you will help set the team's technical direction. This is an individual contributor role, but influence is a large part of it: you'll help define the standards the team works to, raise the technical bar across pods, and own the interfaces where our problems meet those of teams elsewhere in Technology. You'll be expected to move fast and start shaping technical conversations early. We work in an AI-native way, and you'll help define and evolve what that means here.What you'll be doingEstablish a set of engineering standards across the Model Authoring pods. The standards are documented and actively referenced in code review, with new pod work conforming by default.Set and own the technical direction for the team's shared enablers, including how we represent and persist models, the model registry, secure context access, and shared agentic infrastructure.Establish the technical interfaces between Model Authoring and other parts of the business. Dependencies with other teams are agreed, documented, and progressing without needing to be brokered by someone else.Work hands-on on the hardest problems in the stream. This is not an advisory role: we would expect you in the code where the risk is highest.Help define how we work in an AI-native way. Which parts of model development and of our own engineering we hand to agents, what stays human, and what evidence we need before trusting either.Visibly lift the engineers around you. You're sought out for design input across pods, and there's at least one engineer whose growth is clearly attributable to your support.What you'll need to have doneWorked in an AI-native environment, and genuinely want to keep doing so. You've used AI or agentic tools in your own engineering workflow, introduced or experimented with them, and have a real view on what's worked and what hasn't.Been product-focused rather than purely technical. You understand who your users are, where their pain points are, and how your technical decisions connect to commercial outcomes.Set technical direction while navigating genuine ambiguity. A proven track record of owning architecture in a domain with no established playbook, and making clear calls on imperfect information rather than deferring them.Owned a significant technical challenge or service end to end, with the depth to walk through it in detail - the trade-offs, the contracts, the things you'd do differently.Influenced across teams. You can hold a position under challenge, genuinely listen to pushback, and persuade others - not just present your own view and hope it lands.Worked effectively across distributed teams - this role spans our Warsaw and London offices, so you'll need to be comfortable building relationships and influence across both.You're unlikely to thrive here ifYou'd rather focus purely on the technical problem than get close to users, customer pain points, and the commercial implications of what you build.You're not comfortable setting technical direction in ambiguity, or you'd rather wait for an established playbook than make a call on imperfect information.You're not excited about helping define what the future of software engineering looks like and are prepared to embrace tooling and new ways of working to support this.If reading our Culture Document leaves you feeling neutral rather than energised, hx may not be the place where you’ll do your best work. We’re building something that asks for commitment and conviction, and we want you to feel excited by the opportunity to grow with us.CompensationAt hx, we're committed to salary transparency. You'll always have clarity on pay early in the process - our Talent Partner will share details with you during initial conversations - and we're working towards publishing salary information for all roles globally.Because we're building at the intersection of technology/SaaS and insurance, our roles don't always map neatly onto traditional benchmarks. Our approach is to design compensation that's competitive in the market, fair across teams, and aligned with the impact our people make.Benefits5,000 training and conference budget for individual and group development.25 days of holiday plus 8 bank holidays (33 days total).Company pension scheme via Penfold.Mental health support and therapy via Spectrum.life.Individual wellbeing allowance via Juno.Private healthcare insurance through AXA.Income protection and Life Insurance.Cycle to Work Scheme.Additional perksTop-spec equipment (laptop, screens, adjustable desks, etc.).Regular remote and in-person hackathons, lunch and learns, socials, and game nights.Team breakfasts and lunches, snacks, drinks fridge, and a fun office at The Ministry.Exceptional opportunities for personal development and growth as we build something remarkable together.Interview processInitial call with our Talent teamHiring Manager InterviewSkills Assessment & follow-up interviewValues InterviewMeet the CEO Our commitment to Diversityhxers are at the centre of everything we build. We know that progress depends on diverse perspectives, and we are committed to creating an environment where everyone can thrive, grow, and make an impact. We recognise there is always more to do, and we take responsibility for shaping a workplace that is not only diverse but genuinely inclusive.Diversity is not just the right thing to do, it is key to solving the complex challenges we choose to take on. By welcoming people from all backgrounds and experiences, we strengthen our ability to question assumptions, push boundaries, and design solutions that endure.If you're energised by complexity and motivated to grow, we encourage you to apply and join our global team.Next stepsIf this opportunity resonates with you, we encourage you to apply or share it with your connections! Our dedicated talent team reviews all applications, and we promise to provide feedback regardless of the outcome.For more information about applying and to view other opportunities, you can visit our careers page.Please note that background checks will be conducted as part of the hiring process to ensure compliance with our governance policies. We handle all background checks sensitively and in full compliance with relevant regulations. All applicant data will be processed in accordance with data protection regulations and our privacy policy.Please note that background checks will be conducted as part of the hiring process to ensure compliance with our governance policies. We handle all background checks sensitively and in full compliance with relevant regulations. All applicant data will be processed in accordance with data protection regulations and our privacy policy.LocationLondon (hybrid)Employment TypeFull timeLocation TypeHybridDepartmentTechnologyEngineering

Job ID: 102247798112Posted: 2026-10-22Location: London, England, United KingdomCategory: TechnologyCompany: CitiAbout the Team:Build the next generation of agentic AI.The Applied AI and Agents Factory brings together ambitious engineers to turn advanced AI capabilities into production-ready solutions. Working directly with business and technology teams, you’ll tackle complex engineering challenges, build intelligent agents and take ideas from initial concept through to live deployment.This is an opportunity to work at the cutting edge of AI engineering, developing systems that go beyond conversational tools to reason, plan and execute multi-step workflows. You’ll build reliable agent workflows, integrate AI with enterprise systems and ensure solutions perform securely and consistently in production.With a strong focus on hands-on engineering, collaboration and rapid delivery, the Factory gives you the opportunity to solve challenging technical problems, develop your expertise and contribute reusable tools and engineering practices that support AI adoption across Citi.If you want to do more than experiment with AI — and build, deploy and scale systems that deliver real business value — this is where you can make your mark.About the Role:The Forward Deployed Engineer is an intermediate-level software engineering position responsible for constructing automated evaluation harnesses, curating regression testbeds, optimizing prompts and output schemas, and automating testing pipelines within embedded LOB delivery pods. The overall objective of this role is to ensure the reliability, accuracy, and safety of production AI agents by building rigorous evaluation suites in Agentflow Studio and driving automated CI/CD test execution.Responsibilities:Conducts tasks related to the construction, calibration, and execution of automated evaluation test suites using Agentflow Studio, measuring agent task completion, tool call correctness, latency, and hallucination metrics.Curates and maintains domain-specific golden datasets, synthetic benchmarks, and regression testbeds in collaboration with LOB domain experts and senior engineers.Optimizes prompt templates, system instructions, few-shot examples, and structured JSON output parsers (Pydantic/JSON Schema) to maximize deterministic agent behavior.Authors and maintains automated test execution and deployment pipelines within Lightspeed CI/CD, enforcing continuous evaluation gates prior to staging and production rollout.Utilizes in-depth specialty knowledge of Python applications development to analyze complex agent errors, evaluate system performance, and recommend advanced coding and prompt solutions.Recommends and implements security measures and Lakera Guardrail policies in post-implementation analysis of agent usage to ensure safe functionality.Monitors and controls evaluation test cycles, providing operational support, performance metrics, and prompt diagnostic reporting to business stakeholders and squad leads.Has the ability to operate with a limited level of direct supervision, exercising independence of judgement and autonomy while acting as an evaluation SME to pod team members.Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.Qualifications:Relevant software engineering or systems analysis experience or a specialized focus in Python and Generative AI application development).Solid Python programming proficiency, with practical experience integrating REST/gRPC APIs, Docker containers, and Git workflows.Strong working knowledge of AI evaluation frameworks, benchmarking methodologies (BLEU, ROUGE, semantic similarity, LLM-as-a-judge), and automated testing suites.Experience in managing and implementing automated test pipelines in CI/CD environments (Lightspeed, Tekton, Jenkins).Ability to work effectively under pressure, managing tight sprint deadlines and unexpected changes in model outputs or LOB requirements.Good written and verbal communication skills with a methodical, detail-oriented approach to software quality and data integrity.Education:Bachelor’s/University degree or equivalent experience in Computer Science, Data Science, or related quantitative discipline.What we’ll provide youThis is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:27 days annual leave (plus bank holidays)A discretional annual performance related bonusPrivate Medical Care & Life InsuranceEmployee Assistance ProgramPension PlanPaid Parental LeaveSpecial discounts for employees, family, and friends Visit our Global Benefits page to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.#LI-AH4------------------------------------------------------Job Family Group: Technology------------------------------------------------------Job Family:Applications Development------------------------------------------------------Time Type:Full time------------------------------------------------------Most Relevant Skills Please see the requirements listed above.------------------------------------------------------Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.View Citi’s EEO Policy Statement and the Know Your Rights poster.

Every team has AI. Few have mastered it. Humans were built to adapt, but AI is now moving faster than most workforces can.Multiverse is the AI adoption layer: the missing link between the AI tools that companies have invested in and the people expected to use them.Our ambition is to put AI capability in every worker’s hands. Apprenticeships got us started: we’ve trained over a third of the UK’s data and AI apprentices, worked with a third of the FTSE 100, and generated 2bn+ in verified ROI. Now Mastry, our new adaptive learning platform, takes that further, guiding a company’s AI workforce transformation from start to finish. Mae, our AI guide inside Mastry, is a real-time AI agent that thinks, speaks, listens and sees, working alongside the tools you already use, like Claude and Copilot.We closed our latest fundraising round in April 2026, with $500m+ raised in total from VC partners including Index Ventures, General Catalyst, Schroders Capital and Lightspeed. With a $2.1bn valuation, we are Europe’s first EdTech double unicorn, and we are just getting started.If you want to shape how the workforce wins in the AI era, come and join us.Why this role existsEvery foundation model lab is solving the same problem: build more capability. Almost nobody is solving the harder one — what happens when that capability meets a real organisation and real people who have to relearn how they work. That's the adoption layer, still wide open, and Multiverse sits in the unique position to solve this problem with ten years of proprietary learner and employer data driven from 1,500+ companies that no one else has.Diagnose & Prescribe (D&P) is the engine room of that problem. It works out what a learner or employer actually needs, then decides what they get funded for and which apprenticeship or learning path they're pointed to next. D&P is how we assess a learner's or employer's skill gaps, decide what they need, and point them to the right apprenticeship or learning path — so the blast radius here is human and financial, not just a dashboard metric.The line between leading this team and building the product has already blurred, which is why this role exists as it does. We need a leader who stays close enough to the work to have credible judgment in it, and who builds a high-trust team where diverse perspectives actually make the problem-solving better.This is a broad, domain-coherent, event-driven and increasingly AI-native estate. The dominant challenge isn't deep algorithmic difficulty in any single repo — it's holding the whole D&P picture, sequencing work across varied services, and keeping load-bearing decisions safe as the system evolves underneath you.What you're signing up forA genuinely unsolved problem — the constraint here is people and adoption, not model capability.High agency. We set outcomes, not playbooks. You and your team define how this evolves.Real commercial breadth. This team sits at the intersection of Product, go-to-market, and eligibility — closer to the customer than most engineering roles.Craft that's respected, not traded off. Strict typing, layered testing, ADRs, observability — and AI-native ways of working as the baseline, not an experiment.A company mid-transformation, told straight. Multiverse is rebuilding itself into a product-powered, AI-native company in real time. You're not inheriting a finished system — you're one of the people defining it.What you'll doYou will own delivery, technical direction, and team health in the D&P service estate — the full learner and customer journey from diagnosis through prescription to onboarding and growth tracking. Concretely, that means leading the team(s) across surfaces like:Diagnosis & needs assessment — AI-heavy services (retrieval-augmented generation (RAG), LLM-scored assessment) that turn raw signal into a picture of where a learner or employer actually is.Prescription & eligibility — build the product which helps learners and customers understand the best learning course for their skills and career development, that leverages a customer's levy funds. Much of this is load-bearing logic with a genuine financial and regulatory blast radius.Recommendation & onboarding — turning a diagnosis into the right prescribed path and getting learners into it, where those decisions become visible to customers and learners.The platform arc — continuing to carve D&P logic out of the shared legacy monolith into dedicated services, while backing the newer AI-native product from beta toward scale.Coach and build the team. Hire well, give every report a real growth plan, and move the team into a high-performing, AI-native operating rhythm — promotions and performance issues are never a surprise.Stay hands-on. Whiteboard distributed designs, review and negotiate the RabbitMQ event schemas and API contracts that ripple across services, and write production code yourself when it's the fastest way to de-risk or unblock.Deliver predictably. Use cycle time, change failure rate, and MTTR to balance shipping speed, debt, and change-safety on logic with genuine financial and regulatory blast radius.Raise the AI-native bar. Prove better discovery-to-build-to-review loops on your own team and share what works across engineering.Partner on strategy. Work directly with Product and Design — and closely with go-to-market — to turn learner and customer behaviour into technical direction on the surfaces where eligibility and recommendation decisions become visible to real customers.What we needA few terms you'll see below:D&P (Diagnose & Prescribe, this team's name), BAM (our hiring framework — Behaviour, Achievement, Mastery), ADRs (architecture decision records), IfATE (the UK body governing apprenticeship standards).Engineering management of full-stack teams shipping production software, with real technical depth to review architecture and challenge design.A team you led has shipped AI features to real users and operated them — not a side experiment.Strong Python/TypeScript (if you don’t have Typescript, you will need to learn): React/Next.js (App Router, RSC, server actions), tRPC/GraphQL, Node/Express.PostgreSQL at scale via an ORM, with migration discipline on large, live schemas.Event-driven systems on a message bus (we use RabbitMQ) — versioned events, idempotency, backward-compatible migration.A high engineering maturity bar as second nature: typing, testing, feature flags, ADRs, CI/CD, observability.AI-native delivery in practice — you build daily with Claude Code, Cursor, or the current best tool, and understand context management, model selection, tool design, and the token economics that separate a prototype from an affordable production system.What sets you apartGTM/acquisition-funnel experience — you've owned surfaces where onboarding and eligibility meet real customers.Strangler-pattern pragmatism — legacy monolith and greenfield edge-native product, at the same time.Accessibility and UX as defaults on learner-facing surfaces, not afterthoughts.Not for you ifThis role won't fit if you'd rather run ceremonies than stay in the system, the design, and the code yourself. It also won't fit if you see AI tooling as a productivity tweak rather than a step change in how a team works. And it needs someone who renegotiates the scope out loud when it's wrong, not someone who absorbs it and hopes it works out.Stack & how we leadTypeScript core (React/Next.js, Node) with PostgreSQL and RabbitMQ as the event backbone, plus Python and Elixir services — from RAG pipelines to a Claude-powered edge-native product. GitHub, CircleCI, Datadog. AI-assisted development is first-class, not bolted on.You'll lead full-stack engineers (with Python/Elixir specialists), report to the Senior Director of Engineering for Diagnose & Prescribe, and calibrate regularly with a peer group of EMs — you're not doing this alone. We reject micro-management: we set the objective, you and your team own the how. Kindness, candour, and curiosity over hierarchy — bad news travels as fast as good.BenefitsTime off: 27 days holiday (including 3 winter shutdown days) and bank holidays, plus 5 extra days off (1 life event, 2 volunteer days and 2 summer shutdown days).Health and wellbeing: Bupa private medical insurance, a medical cash back plan, therapy through Spill and gym access through Wellhub.Equity for all: we believe that when Multiverse wins, we all win, which is why every permanent employee receives share options.Financial security: life insurance at 3x salary, a workplace pension with 4% contribution from us, Cycle to Work and a Tech Scheme.Family support: enhanced maternity and paternity leave, adoption and shared parental leave, paid leave after pregnancy loss, and a workplace nursery scheme.Hybrid working: 3 days a week in the office - except for Coaches & Instructors who come into the office 1 day per month. Plus 10 days a year to work from anywhere.Work perks: quarterly team socials, company-wide events, happy hours, lunch delivered to the office once a week, fully stocked snack bar and a drinks fridge!Our Commitment to Diversity, Equity and InclusionWe’re an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here.Our Commitment to SafeguardingMultiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS). For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children’s Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings.Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS.LocationLondonEmployment TypeFull timeLocation TypeHybridDepartmentEngineering

As Director of Economy and Regeneration, you will play a key role in delivering the Council's ambitions for Derbyshire. You will provide strategic leadership across a broad portfolio encompassing economic growth and regeneration, statutory and regulatory services, and cultural and community services.Working with businesses, communities, government agencies and regional partners, you will lead services that drive economic growth, attract investment, deliver major projects and create opportunities for businesses and residents. Through business support, skills, employment and major investment programmes, you will help strengthen Derbyshire's economy and support long-term prosperity across the county. You will lead a diverse range of services that help shape the places where people live, work and visit, including planning, trading standards, transport development management, libraries, culture and heritage. What you'll be doingProviding strategic leadership of the Economy and Regeneration Division, while delivering strong outcomes for residents, businesses and communities across Derbyshire, ensuring statutory and regulatory responsibilities are met.Driving economic growth, regeneration, employment, skills and investment opportunities across the county.Leading large, complex teams and significant budgets, ensuring services are financially sustainable and deliver value for money.Leading service improvement, innovation and transformation, driving efficiencies, cultural change and continuous improvement across the division.Supporting the delivery of corporate priorities and wider Place objectives, including delivery of the Council's Environmental Sustainability Strategy.Building strong relationships with elected members, businesses, regional partners and stakeholders to influence and deliver positive outcomes for Derbyshire.Operating as a key member of the Place Strategic Leadership Team, driving transformation, performance improvement and best value.Developing a positive, inclusive and high-performing culture.We're looking for someone who:Has substantial senior leadership experience within a complex organisation.Has a strong track record of leading large, complex services and multi-disciplinary teams.Has significant experience of economic development, regeneration and growth-related services, within a large and complex organisation. Brings strong financial, commercial and strategic skills.Has strong inter-personal and influencing skills with a clear ability to deliver services and achieve results through collaboration.Leads with integrity, collaboration and a commitment to excellent public services.Has experience of transformation, organisational change and performance management.Why apply?This role offers the opportunity to take on a highly influential leadership position, working alongside talented colleagues to help shape Derbyshire's economic future and lead services that make a significant contribution to its places and communities. It's an opportunity to broaden your impact, contribute to the Council's future direction and further develop your executive leadership career.How to apply?Please register and complete the shortened application form, attaching your CV and accompany this with a supporting statement - statement to be approx. two sides of A4 – outlining the skills, experience and leadership qualities you would bring to the role. Be sure to highlight how you would contribute to our strategic priorities and support our transformation journey. Please take a look at the attached JPP for more information.For an informal conversation about the role, please contact Claire Brailsford, Claire.Brailsford@derbyshire.gov.ukClosing Date: 22nd November 2026Provisional Interview Dates: Day 1 – 30th November 2026 & Day 2 - 3rd December 2026Please note that the interview process may include a short presentation, designed to support you in demonstrating your skills and approach. Further information will follow at interview invitation stage.This post is designated in accordance with the Local Government and Housing Act 1989 as a Politically Restricted Post. The successful candidate will therefore be disqualified from: (a) Becoming or remaining a Member of a local authority (excluding town or parish councils); or (b) Standing as a candidate for election as a Member of the House of Commons or the European Parliament (c) Acting as an election agent (d) Acting as an official of a political party, (e) Canvassing on behalf of a political party or individual (f) Publishing material or addressing the public in support of a political party.Apply now and take the first step towards a fulfilling career with us! By joining Derbyshire County Council you will have access to a range of amazing rewards and employee benefits, including our generous annual leave scheme, excellent local government pension and fantastic employee discounts. To discover more detail about the rewards and benefits available to you, click herePLACE1This role currently offers hybrid working options which will be subject to service needs, there'll be an opportunity to discuss working arrangements for this position at interview.Important: Derbyshire County Council holds a sponsorship licence, but this role does not offer visa sponsorship. Please apply only if you already have the right to work in the UK without sponsorship, as applications that do not meet this requirement will be rejected.We welcome applications from individuals who share our values — being Collaborative, Innovative, Empowered and Accountable. These values describe who we are and what we stand for as a council. They help shape our culture, encourage consistent behaviour and guide how we work together to make a positive difference for both our employees and the residents we serve.Applications for this role must include a CV and a supporting statement, it’s easier than ever to apply! Just click on “Apply for this job”, register and upload your CV and supporting statement.LocationCounty Hall, Matlock (Hybrid)ReferenceJOB/26/03200Salary detailsGrade 18 108,247 to 118,856 per annumJob termFull TimeAppointment typePermanent Hours37 Hours per weekClosing Date22 November 2026

Company DescriptionVersion 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. We’re an award-winning employer reflecting how our employees are at the very heart of what we do: UK & Ireland's premier AWS, Microsoft & Oracle partner 3300+ strong, 350/300m revenue business 10+ years as a Great Place to Work in Ireland & UK Best Workplace for Women in the UK & Ireland by GPTW Best Workplace for Wellbeing in the UK by GPTW We’re a core values driven company, we hire people who share our values, and we reward those who display and foster them, it’s deeply embedded within our DNA. Invest in us and we’ll invest in you!. Job DescriptionVersion 1 already has 98% AI adoption across the business, live agentic deployment models, and a use-case governance framework that routes work between self-service AI and CoE-driven transformation based on complexity. Most organisations are still trying to get pilots into production. We've done that. The Head of AI Centre of Excellence is the person who takes that foundation and pushes it further: scaling agentic workflows from pilots into the core of how Version 1 delivers, and building the people and skills strategy that keeps 4,300+ staff ahead of the curve as AI-native working becomes the norm, not the exception. Reporting to the Director of AI, this individual leads an established CoE team with budget authority, and works through influence across the wider organisation to embed AI-native ways of working in our internal systems, delivery processes and people. The role is weighted towards internal transformation (roughly 80%), with a smaller but high-profile external element: representing Version 1's own transformation story through thought leadership and conference platforms, and shaping the messaging that feeds into board-level AI strategy via the Director of AI. Key Responsibilities Scale Agentic Workflows into Core Delivery Move agentic AI from pilots and self-service use cases into embedded, transformational change across core delivery functions. Own the direction and roadmap for Version 1's internal AI tooling and applications, ensuring our own use of AI reflects the standard we sell to customers. Evolve the use-case governance model that decides what stays self-service and what warrants CoE-led transformation. Lead and Grow the AI Centre of Excellence Lead the established AI CoE team, with budget authority, setting priorities, standards and ways of working for the function. Build the CoE's capability and remit as internal demand for AI-led transformation grows. Drive Change Through Influence Apply technology consulting skills to bring different functions and leaders along the transformation journey, without direct authority over every team involved. Work closely with the exec team to secure sponsorship, remove blockers and keep internal transformation aligned to commercial priorities. Act as the internal change agent for agentic and AI-native working, building coalitions across service lines and functions. Shape People Strategy for an AI-Native Organisation Partner with the People function to define the enablement and continuous development our staff need as AI changes how work gets done. Shape the direction and strategy for building an AI-native organisation, including skills, career pathways and ways of working. Identify capability gaps across the business and set the learning and development response. Represent Internal Transformation Externally Provide exec-level guidance to customers on AI-led transformation, drawing on firsthand experience of Version 1's own journey. Act as an external voice for Version 1's AI-native operating model through thought leadership, conferences and press. Shape the messaging on internal AI transformation that feeds into board-level AI strategy, delivered via the Director of AI. Work with the AI Service Line Lead to feed internal transformation learnings into customer-facing propositions where relevant. Measure and Report Impact Define the metrics that show the impact of internal AI transformation on delivery quality, efficiency and customer outcomes. Report progress to the exec team and refine the approach as the organisation's AI maturity develops. QualificationsSenior Technical Leadership Proven track record in a senior technical leadership role (e.g. CTO, Head of AI, Principal Architect) with direct accountability for AI or technology transformation. Deep, firsthand experience of AI architecture, agentic systems, generative AI and data platforms, gained through leading rather than advising on transformation. Internal Transformation & Change Leadership Experience redesigning internal processes and workflows around AI and agentic automation, not just piloting individual use cases. Skilled in technology consulting approaches, able to diagnose, plan and sequence transformation across multiple functions. Team and Stakeholder Leadership Experience leading a specialist team, with the ability to also lead through influence across functions with no direct authority. Comfortable operating at exec level, building sponsorship and consensus for change among senior leaders. People Strategy & Enablement Track record of working with HR/People functions to define enablement, upskilling and career development programmes at scale. Understands how to translate an AI strategy into workforce capability plans across technical and non-technical roles. Customer-Facing Credibility & External Visibility Able to represent Version 1's own transformation story credibly in senior customer conversations, translating internal experience into external advisory value. Comfortable as a public voice for the organisation, whether on a conference stage, in press, or in written thought leadership. Comfortable moving between internal delivery detail and external strategic narrative. Results-Driven & Adaptable A performance mindset with the ability to set clear goals, measure outcomes and adjust the transformation roadmap as the organisation's AI maturity evolves. Comfortable with ambiguity and able to drive change without waiting for perfect conditions. Additional InformationWhy Version 1? At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability. Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work life balance Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat Reward schemes including Version 1’s Annual Excellence Awards & ‘Call-Out’ platform. Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes. And many more exciting benefits… drop us a note to find out more. Version 1 is an equal opportunities employer. We are committed to building a diverse, inclusive and respectful workplace where everyone feels valued and able to thrive. We welcome applications from people of all backgrounds, identities and lived experiences, and we value the different perspectives people bring including those shaped by disability and neurodiversity. We want every candidate to have a positive and accessible recruitment experience. If you need reasonable adjustments at any stage of the process, please contact your recruiter at Version 1. We will consider all requests carefully, respectfully and confidentially. Video links: #LI-SS1SummaryType: Full-timeFunction: Information TechnologyExperience level: Mid-Senior LevelIndustry: Information Technology And Services

Applied AI Engineer - Direct AcquisitionHybrid in London, UKWe're looking for an Applied AI Engineer to join the Direct Acquisition team.You'll design and build AI agents that run whole business processes, from planning the work to learning from the results. What you find will steer how far iwoca takes agents across the business.The companySmall businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are.That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed.We've already cleared the way for 100,000 businesses with more than 5 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive.The teamDirect Acquisition includes iwoca's Marketing, Sales, Brand and Acquisition Tech teams. Together, they reach UK businesses of all shapes and sizes through paid and organic marketing channels and direct sales.A new team in Direct Acquisition builds agents that automate and improve acquisition processes. That's its only focus, and it works closely with Acquisition Tech. It's small – a product owner and you – and everyone builds. You'll report to the Head of Direct Acquisition, who sets the commercial direction.The roleAs the Applied AI Engineer, you'll build the agents and the systems around them. Most of the work is system design and backend engineering.You'll start with direct mail. The first goal is an agent that plans each monthly round, uses iwoca's existing predictive models to build the mailing file, and learns from the results as they come in. The pattern is simple to say and hard to get right: the agent orchestrates, deterministic code does the work, and a human in the loop approves the file before it goes to print. You'll work with the people who run each process to understand the edge cases, and with Core Systems and Compliance on access and controls.The agents don't exist yet, and much is still open: which processes the team takes on, and what the architecture looks like. You'll own those design decisions and write most of the code yourself, much of it with AI coding tools. Some of this won't work, and finding out why is one of the main outputs of the role.Architecture. You'll design what agents need to run reliably: memory that persists between runs, task management, access to tools, permissions, and a record of every decision and why. You'll build each piece so the next process can reuse it.Guardrails. You'll decide where the agent uses judgement and where code enforces rules the agent can't change, like suppressions, compliance checks and budget limits.Delivery. You'll own each agent end to end: connect it to iwoca's predictive models, data pipelines and channel tools, and run it alongside the current process until it has shown it works.Measurement. You'll track how often agents need a person, where they fail, what they cost, and what they're worth.The requirementsWe're looking for the depth of someone who has solved hard problems, and the pace of someone who moves fast in areas that are new to them.Essential:System ownership. You've owned a complex system end to end, from design to running it in production, and lived with the consequences of your architecture choices.Design judgement. You've made architecture decisions other people built on, and you can explain the trade-offs and what you'd change. When an idea won't work, you say so and offer a better one.Pace. You've got things live quickly in unfamiliar areas and they kept working once people relied on them.Agent engineering. You've built systems where LLMs take actions – more than chat or summaries – and you can explain what went wrong and how you fixed it. You know when a problem needs an agent and when it needs a for-loop.Controls. You've built permissions, data access rules and audit trails into systems from the start.Constructive challenge. You work well with commercial and product colleagues, and when an idea won't work, you say so and offer a better one.AI leverage. You've used AI coding tools to produce engineering work you couldn't have delivered without them – a service, an integration, or an internal tool others use. You have opinions on how to get the most out of them, and you check their output before it reaches production.Communication. You write and speak clearly, directly, and concisely. You adapt technical detail to your audience.Bonus:Languages and data tools. You've worked with Python, Go, Snowflake or dbt.Evaluation. You've built evals that measure how an agent performs and where it fails.Marketing and growth tech. You've worked with ad platforms, CRMs or direct mail.Quantitative foundations. You come from a numerical or technical field, such as physics, engineering, maths or computer science.The salaryWe expect to pay from 80,000 to 120,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews.The cultureAt iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence-based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective.We're a tech company and believe in the power of AI to help us work faster and better. We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data. We will help our people to learn how to use and grow with the new tools available to them.The officesWe put a lot of effort into making iwoca a great place to work:Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks.Events and community-led groups, including running groups, padel, and monthly ping-pong and pool competitions.The benefitsFlexible working hours.Medical insurance from Vitality, including discounted gym membership.A private GP service (separate from Vitality) for you, your partner, and your dependents.25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave.A one-month, fully paid sabbatical after four years.Instant access to external counselling and therapy sessions for team members that need emotional or mental health support.3% Pension contributions on total earnings.An employee equity incentive scheme.Generous parental leave and a nursery tax benefit scheme to help you save money.Electric car scheme and cycle to work scheme.Two company retreats a year: we've been to France, Italy, Spain, and further afield.And to make sure we all keep learning, we offer:A learning and development budget for everyone.Company-wide talks with internal and external speakers.Access to learning platforms like Treehouse.Useful links:iwoca benefits & policiesInterview welcome pack (TAP)Compensation Range: 80K - 120KLocationLondonEmployment TypeFull timeLocation TypeHybridDepartmentSoftware Engineering and TechCompensation80K – 120K

EMPLOYMENT TYPE: Permanent DEPARTMENT: Information SystemsDIVISION: GroupWORKPLACE STRUCTURE: HybridROLE OVERVIEWPURPOSE OF JOBJTC is in its Genesis era: a period of deliberate transformation in which we are investing in the platforms, people and processes that will define the next decade of growth. Technology is no longer a support function; it is the engine of our competitive differentiation.The Director - Cloud Infrastructure is a pivotal hire for this moment. We are migrating complex, mission-critical workloads across multiple jurisdictions, many built on systems with limited or no documentation, onto modern, resilient cloud platforms. JTC's architecture is Microsoft-primary, and this role owns the cloud engineering practice that underpins it: Azure governance, landing zones, hybrid connectivity, and the secure foundations on which our AI programme is built. We need an engineer with the depth to tame that complexity: someone who can walk into an undocumented environment, reverse-engineer what exists, and produce the structured documentation that becomes the foundation for everything that follows.Our infrastructure carries client assets, regulatory obligations and audit trails across multiple regulators. The right candidate understands this instinctively, having operated production cloud systems in regulated environments and brings that rigour into every design decision, security posture and recovery test they run.This role sits at the intersection of infrastructure and intelligence. As JTC accelerates its AI programme, the Director, Cloud Infrastructure will work shoulder-to-shoulder with AI Engineering and Data Engineering to design and scale the compute, storage and networking fabric that makes our models possible.This is a hands-on role for someone who is energised by hard technical problems and by making the engineers around them more effective. If you want to shape infrastructure at scale in a firm that genuinely values technical excellence, this is the role.MAIN RESPONSIBILITIES AND DUTIESCLOUD MIGRATION & PLATFORM ENGINEERINGLead end-to-end cloud migration programmes across JTC's multi-geography, multi-system estate, ensuring workloads move safely, on schedule and with minimal disruption to live operations.Own the migration strategy, sequencing and tooling, from discovery and assessment through to cutover and post-migration optimisation.Design target-state cloud architectures (multi-cloud and hybrid where appropriate) that satisfy the availability, latency and data-residency requirements of each jurisdiction.Own Azure governance end-to-end: management group hierarchy, landing zones, policy assignments, networking and cost management, as JTC's primary cloud platform.Establish and enforce cloud engineering standards and guardrails across AWS, Azure and GCP environments; lead adoption of multi-cloud tooling where operationally justified.Own Microsoft 365 platform governance, external collaboration policies, licensing optimisation and the integration of M365 services into JTC's security and identity controls.Drive continuous platform improvement: reduce cloud spend, increase reliability and compress mean time to recovery across all production systems.LEGACY SYSTEM DISCOVERY & STRUCTURED DOCUMENTATIONMany of the systems you will inherit have grown organically in environments where documentation was never prioritised. A core part of your remit is to change that systematically and permanently.Conduct structured technical discovery on undocumented or poorly documented systems: infrastructure topology, dependency mapping, data flows and failure modes.Produce high-quality, version-controlled architectural and operational documentation. runbooks, recovery procedures, network diagrams that becomes the authoritative record for each system.Lead the technical integration of acquired businesses: identity and data migration, network consolidation and the controlled decommissioning of legacy platforms.Introduce tooling, infrastructure-as-code, automated topology scanning, runbook templates that makes documentation a by-product of engineering rather than an afterthought.Maintain a living infrastructure knowledge base, ensuring it remains accurate and accessible as systems and teams evolve.PRODUCTION OPERATIONS, SECURITY & RELIABILITYJTC operates in markets that do not pause, under regulators who expect evidence. You will be hands-on across the full stack of production reliability and security, not delegating these concerns but owning them technically.Own SLA/SLO definitions and ensure production cloud environments meet or exceed agreed targets; build the monitoring and alerting that makes that evidence visible.Act as technical lead for major cloud infrastructure incidents: direct containment and recovery, chair blameless post-mortems and drive preventive actions through to verified closure.Own identity and access security across cloud and hybrid directories: privileged access governance, conditional access, and the integrity of the IAM boundary between on-premises and cloud.Own the cloud security posture: network segmentation, firewall governance, secrets management, vulnerability scanning and timely remediation within agreed SLAs.AI & DATA INFRASTRUCTURE PARTNERSHIPJTC's AI programme is accelerating. You will be the primary infrastructure partner to AI Engineering and Data Engineering designing and delivering the compute and data fabric that makes our models possible and ensuring it is operated with the same rigour as any other production workload.Design and build GPU/high-performance compute environments for model training and inference, including cluster provisioning, network fabric and storage tiering.Architect scalable, low-latency data pipelines and storage layers — data lakes, vector stores, streaming infrastructure, in close collaboration with Data Engineering.Ensure AI workloads are provisioned, monitored, secured and cost-managed with the same discipline as any other production service.Work directly with AI Engineering on containerisation, Kubernetes orchestration and CI/CD pipelines for ML model deployment, contributing hands-on where your expertise accelerates delivery.Support the responsible use of AI within infrastructure operations, monitoring triage, documentation generation, anomaly detection in line with JTC's AI governance framework.INFRASTRUCTURE AUTOMATION & SECURITY ENGINEERINGAutomation is how we scale without proportionally scaling headcount. Security is built into the delivery pipeline, not bolted on after the fact.Drive a fully infrastructure-as-code approach using Terraform, Bicep or equivalent, every production infrastructure change tracked in version control and deployed through a pipeline.Build and mature CI/CD pipelines for infrastructure provisioning, configuration, testing and deployment across all environments, with separation of duties and approval gates for production.Embed security controls into pipelines: policy-as-code (Open Policy Agent or equivalent), secrets management, dependency scanning and automated compliance evidence generation.Implement FinOps discipline: tagging strategies, cost allocation, anomaly detection and rightsizing programmes to ensure cloud spend is transparent, attributed and justified.Automate routine operational activity, patching, health checks, user lifecycle management, reporting, freeing engineering time for higher-value work.Establish and enforce patch and change management disciplines: tested, staged and reversible updates; no unauthorised change to production.ESSENTIAL REQUIREMENTSProven, hands-on track record of leading cloud migrations at scale, multi-system, multi-geography environments with live production constraints.Deep practical expertise across Azure (primary) and at least one other major cloud platform (AWS or GCP); experience governing hybrid/multi-cloud estates end-to-end.Infrastructure-as-code fluency: Terraform and/or Bicep; GitOps-based operational practices; CI/CD pipelines for infrastructure delivery.Microsoft 365 administration and governance: external collaboration, licensing, security and compliance centre.Strong cloud security background: IAM, network segmentation, secrets management, vulnerability management, SIEM integration and compliance frameworks (ISO 27001, SOC 2, FCA SYSC).Kubernetes and containerisation expertise: cluster management, workload scheduling, service mesh and GitOps delivery pipelines.Production experience running infrastructure that supports AI or ML workloads: GPU compute, vector stores, high-throughput data pipelines.Solid backup and disaster recovery background: resilient architecture design, RTO/RPO definition by service tier and evidenced recovery testing.Demonstrated ability to reverse-engineer and document undocumented or legacy systems; strong technical writing and diagramming.Experience working in, or as a direct technology partner to, regulated financial services with a clear understanding of operational resilience, audit and data protection obligations.FinOps discipline: cost transparency, tagging governance, anomaly detection and rightsizing as everyday operational practice.Calm, technically credible incident lead: able to direct containment and recovery under pressure and communicate clearly to senior stakeholders.OUR COMMITMENT TO INCLUSION & WELLBEING JTC is committed to fostering a healthy, inclusive organisation where all individuals feel welcome and feel able to participate in the workplace fully. We value different perspectives, backgrounds and lived experiences. This includes supporting employee wellbeing so that people feel equipped to thrive.#LI-AM1

London OfficeCustomer Engineering – AI Platforms /Full Time /HybridAbout MoneyboxAt Moneybox, our mission is to give everyone the means to get more out of life. We're guided by our belief that wealth isn't about the money, it's about the means to more - more freedom, opportunities, possibilities, and peace of mind. Moneybox is an award-winning wealth management platform, helping over one and a half million people build wealth throughout their lives, whether they’re saving and investing, buying their first home, or planning for retirement.Job BriefMoneybox serves more than 2M customers and runs a live service handling over 20M API requests a day. We have agreed a company-wide AI Platforms strategy and are building a new AI Deployment team to deliver on it. This is the first of several Senior AI Deployment Engineer hires, reporting to the Head of AI Platforms & Deployment.You will be a forward-deployed senior engineer who unlocks AI-driven solutions to business problems: an expert in deploying AI and using it safely, not an ML modeller. The work is mainly Python across the modern AI engineering stack - harness engineering, skills and tool building, agent workflows and orchestration, agent hosting and sandboxing, guardrails, evals, RAG and context engineering, and tokenomics (cost, latency, model selection). Production-grade LLM system experience is the core requirement.You will work on three types of project:Departmental engagements. Embed with departments to AI-enable tasks and processes in a more sophisticated way than "just ask Claude" - for example, Python pipelines where one step is an LLM API call - delivering real incremental value with each engagement and transforming working patterns into load-bearing, AI-enabled business processes.Customer-facing AI deployment. Deploy and integrate AI components built by our ML and Decisioning teams into production: the engineering implementation layer between a working model and a live customer feature.AI platform capabilities. Work with the AI Platforms team to turn engagement patterns into safe, increasingly self-serve company-wide tooling.Departments across Moneybox are already building AI tools themselves - we want to provide them with a safe path to load-bearing use at scale. This role catches that demand and matures it properly.What You'll DoOwn engagement delivery end to end. Scope with the department, design the solution, build it, deploy it, and agree the handover and ownership model - from prototype through to stable production. Engagements arrive as vague pain; you define the problem, not just the solution.Engineer AI solutions properly. Pipelines, LLM API integration, evals, guardrails, monitoring, and cost and accuracy optimisation for the systems you build. Know when a step must be deterministic and when an LLM is the right tool.Graduate tools into business systems. Take shared, team-load-bearing tools that people have built for themselves and rebuild them as owned business systems under a full SDLC where the value justifies it.Deploy ML-built components into production. Serving, integration with the Moneybox platform, and everything surrounding the model, in partnership with Decisioning and Data Science teams (who own what happens inside the model) and our engineering squads.Build reusable capability. Convert engagement learnings into shared tooling, templates, playbooks and self-serve workflows on the AI Platforms stack. Building out platform components including guardrails, sandboxing, workflows, and gateways.Raise the bar. Work alongside embedded specialists during the team's ramp-up, absorbing and internalising their output so the capability stays with Moneybox.In your first three months we expect your first departmental engagements to be selected on feasibility and delivered with measurable business value - time saved, cost avoided, risk removed - and at least one ML-built capability deployed to production with proper evals, monitoring and cost controls.This role is explicitly not ML model training or data science, and it is not a chatbot-prompting generalist: this is production software engineering with AI at its core.Who You AreA production engineer with AI at the core. You have built and shipped LLM-powered systems that ran in production and can talk concretely about evals, failure modes, cost curves, and what you would do differently.Comfortable in ambiguity. You can walk into a department with a vague problem and leave with a scoped, deliverable system, and you are managed by exception rather than by direction.A strong partner to non-technical owners. Embedding, scoping and communicating with people who own a business process but not the technology is the job, not a distraction from it.A platform thinker. You have turned one-off solutions into reusable tools or platforms before and you look for the pattern in every engagement.Operationally minded. You care about monitoring, cost and reliability of what you ship, and about making a prototype into a system someone can rely on.Safety-conscious by habit. PII handling, data-boundary discipline, prompt-injection awareness, human-in-the-loop design and graceful failure are how you build, not a checklist you apply afterwards.Skills & ExperienceEssential5+ years of software engineering with meaningful production ownership.Has built and shipped LLM-powered systems that ran in production.Production-grade Python as your primary language.LLM-powered systems in production: real-world experience working with models via APIs - harnesses, orchestration, structured output, tool use and agents, RAG where appropriate.Evals and quality: designing evaluation sets, measuring accuracy, recall and precision for LLM steps, regression-testing prompts and workflows.Safety and guardrails in practice: PII handling, data-boundary discipline, prompt-injection awareness, human-in-the-loop design.Cost and performance optimisation: model selection, caching, batching, token economics, latency budgets.Deployment and operations: CI/CD, containerisation, monitoring and alerting for AI workloads.Data processing fundamentals: pipelines, transformation, validation, anomaly handling.Customer- or stakeholder-facing delivery experience: consultancy, forward-deployed engineering, solutions engineering, or embedded or platform roles serving non-engineering users.DesirableExperience with Azure and/or .NET. We host on Azure and our core stack is .NET, so willingness to integrate with both is required; existing expertise is a bonus rather than a requirement.Experience with agent hosting and sandboxing platforms, LLM or MCP gateways, or agentic workflow orchestration tooling.Experience in financial services or another regulated environment.Experience deploying models built by a data science team into customer-facing production systems.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Covecta's ambition is to help financial institutions navigate and capitalise on the next industrial revolution, to establish itself as both the trusted partner of choice and the builder of an category-defining Agentic OS that banks depend on, extend and trust. AI capability is developing fast, but capability that is not adopted by the teams it could benefit delivers nothing. The value only lands when AI is deployed inside real work and trusted by the people who do that work. 'Applied AI' is Covecta's customer arm and one of the most critical functions in the company. It owns the journey from signed contract to embedded, measurable production value. In regulated lending that gap is widest, because the blocker is as much a trust and change problem as an engineering one. We are looking for an Applied AI Lead who blends banking domain credibility, hands-on agentic build skill, and the influencing and coaching ability to drive adoption. This role builds and proves the AI; it does not just promote it. • Banking credibility. You can sit with credit officers and relationship managers and understand how the work really gets done., • A builder, not an adviser. You configure the workflow yourself, then prove it’s right against real evidence before anyone relies on it., • A coach. You can move a team from doing the work to reviewing the AI, and make the change stick., • Fluent in AI. You already use AI tools well and can show where you’ve deployed them at work., • Fast and accountable. You own the outcome and move at start-up pace., • Translate: Turn how the bank works into an agent specification, including the unwritten rules and edge cases., • Build: Configure and tune agentic workflows on the Covecta platform, including prompts, judges, outputs and decision boundaries., • Prove: Define acceptance criteria with bankers, build eval sets, and hold the quality bar before go-live., • Drive adoption: Stand up champions and super users inside the bank, and grow usage that lasts., • Show the value: Report the hours returned and capacity unlocked, surface expansion opportunities, and feed what you learn back into the product. #J-18808-Ljbffr

We are Kevin Theobald Recruitment Ltd, a specialist recruitment agency established in 1987, dedicated to the commercial Shipping, Logistics, and Freight Forwarding sectors. With over 40 years of combined industry experience, we pride ourselves on connecting the right candidates with employers across a range of roles, from clerks to senior directors. Based in Ashford, Middlesex, we offer tailored and flexible commission schemes, ensuring we meet the needs of both small and large companies. We are currently seeking an Airfreight Operations Manager to join a dynamic team within this fast-paced industry. If you are ready to take on a challenging and rewarding role in airfreight operations, we encourage you to apply and become a key part of a thriving logistics network. You'll take full ownership of the Heathrow operation: a small team of operators as well as a couple of general admin staff and drivers. This is a hands-on leadership role. You'll run the desk, set the standard and step in on live shipments whenever needed, not manage from a distance. The immediate priority is the operation itself: raising service standards, building a proactive customer-first culture and making the business ready to grow. Once that foundation is in place, you'll play a central part in driving growth, and hitting agreed milestones earns you equity in the business. An independent Heathrow forwarder with over 30 years' trading history, its own warehouse and a small fleet of trucks. It built its reputation handling international shipments for a number of high value cargo clients, alongside a group of general import/export clients. Duties Include: Lead day-to-day air export and import operations at Heathrow, working live shipments alongside the team Lift customer service standards and reset the culture of an established team — coaching, setting expectations and tackling under-performance Own service quality for high-value, time-critical and specialist cargo Manage airline, handling agent, customs and haulier relationships to secure capacity, rates and reliability Oversee the warehouse and small fleet, scheduling collections and deliveries efficiently Ensure compliance with security (RA/KC), customs and dangerous goods requirements Improve processes and systems so the operation can scale Help shape and deliver the growth plan once the operation is strengthened, including supporting client development TPBN1_UKTJ

JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Resident Services Agent Sugar House Island, located at in Stratford, London, is a prestigious mixed-use development containing a Build to Rent scheme managed by JLL. This canal-side neighbourhood incorporates properties of varied use-types, designed for people to reside, work and socialise within a vibrant living and commercial environment. Situated in a well-connected East London location, Sugar House Island brings together a growing community amongst Newham's network of waterways, combining modern architecture with retained industrial heritage features. JLL are lookig to recruit a Resident Service Agent to join the team at this exciting location. What your day-to-day will look like: To provide a warm and courteous welcome to all residents and visitors To actively engage with residents, visitors, colleagues, and contractors to provide a seamless experience for residents To co-ordinate day-to-day operations ensuring quality and service delivery always meet and exceed resident's expectations To anticipate residents' needs by engaging and asking questions to understand those needs to be able to adapt services to those needs when required Assisting residents moving into their apartment and completing apartment and appliance inductions as required Supporting residents when moving out, ensuring all reports are filed, maintenance is actioned and deposit recommendations are made Interact with customers to obtain feedback on the quality of product, service levels and overall satisfaction levels Ensure a great working relationship is maintained with the client Any other reasonable tasks asked to be performed by the management according to changing business needs People and interpersonal skills Excellent communication skills and able to display sensitivity and understanding of resident's needs. Excellent customer relations skills, a welcoming nature and plenty of energy & enthusiasm Must be pro-active and able to use initiative to enhance the reputation of the building Professional presentation, confident and outgoing nature Well organised, ability to prioritise, problem-solve and work under pressure Attention to detail to ensure high levels of customer service and maintaining and managing the building to an immaculate standard A great team player who takes ownership and responsibility Knowledge A good level of education with strong written and verbal communication skills A sound understanding of Health and Safety principals, methods and assessments Good level of computer literacy including Microsoft Word, Excel and Outlook Understanding of exceptional customer service delivery Building Maintenance / Health and Safety / Fire Safety Supporting residents with any queries and ensuring any maintenance reports are actioned quickly and efficiently Undertaking daily and weekly inspections of building Co-ordinating spot cleaning and addressing any clean up issues as they arise Co-ordinating all day-to-day site services and sign-off in accordance with JLL Management policies Ensuring the building is a safe environment in which to live and work and that it is managed in accordance with JLL Management procedures Recording all safety checks, contractor visits and completing on-site reports including daily activity logs Establishing and developing working relationships with suppliers and contractors Follow site-specific procedures for handling emergency situations Identify and correct unsafe work procedures or conditions and report then to management To carry out regular site walks and security checks of the building, reporting and logging any details as required Report work-related accidents or other injuries immediately upon occurrence Follow client and site safety and security policies and procedures to maintain a clean, safe and secure environment Maintain awareness of suspicious persons on property premises Administration To maintain an organised and tidy work area including reception area, lobby, and resident floor corridors Protect the privacy and security of the client, residents, visitors, and colleagues Maintain confidentiality of proprietary materials and information Ensure personal appearance is following company policy Location: On-site -London, GBR If this job description resonates with you, we encourage you to apply even if you don't meet all of the requirements. We're interested in getting to know you and what you bring to the table! At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement . For additional details please see our career site pages for each country. Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at HRSCLeaves@jll.com . This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL. TPBN1_UKTJ

Parloa, London-based, is seeking a Manager, Agent Architecture to build and lead a team that transforms customer service with AI Agents. You will hire, coach, and own the quality of every AI Agent shipped, while also contributing directly to live deployments. You will lead with credibility by doing the work alongside your team, and you will shape agent design, capacity planning, and best practices across high-impact programs for enterprise clients. #J-18808-Ljbffr

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

This role will be mainly remote but require flexibility to travel to client sites, and our offices based in London, Sheffield, and Bristol. About the role As a Senior Microsoft Power Platform and AI Developer, you will work with users, product teams, engineers, architects,securityand operational colleagues to turn complex needs into reliable services. You will take technical ownership of significant components and end-to-end solutions and guide decisions across low-code, pro-code,integrationand AI patterns. A major part of the role is engineering AI agents and agentic workflows. You will design how agents use trusted knowledge, approved tools, Model Context Protocol (MCP) services, approvals, human hand-offsand safe failure paths. You will ensure that evaluation, observability, identity,permissionsand data boundaries are built into delivery rather than added later. You will review code and designs, mentor developers, improve engineeringpracticesand support live services. You should be able to challenge inappropriate use of low-code or AI and select a simpler or more supportable approach where evidence supports it. Key responsibilities • Lead the design, build, test,deploymentand support of solutions using Power Apps, Power Automate, Dataverse, Copilot Studio andappropriate pro-code extensions., • Engineer AI agents and agentic workflows using trusted knowledge, tools, actions, approvals, human hand-offs,evaluationand safe failure paths., • Design and implement integrations with approved MCP servers and lead development of MCP tools or services using secure, reusable patterns., • Integrate Power Platform and AI solutions with Microsoft 365, SharePoint, Microsoft Graph, Azure services and enterprise systems using connectors,APIsand event-based patterns., • Apply grounding, retrieval-augmented generation, structured outputs, tool calling and model-selection patterns withappropriate evaluationand operational controls., • Create custom connectors,plug-insand Azure-hosted components where low-code capability is insufficient, choosing technologies based on need,riskand supportability., • Set and apply engineering standards for source control, solution packaging, environment strategy, automated testing, CI/CD,monitoringand release management., • Lead technical investigation of complex live-service faults and improve resilience, performance, accessibility,securityand observability., • Review designs and code, mentor developers and contribute reusable components,patternsand learning to the wider engineering community., • Substantial hands-on experience designing,buildingand releasing production solutions with Power Apps, Power Automate, Dataverse and Copilot Studio., • Experience leading development of AI agents or agentic workflows that use knowledge,toolsand actions to complete meaningful tasks safely., • Experience integrating or developing MCP servers and tools, or equivalent tool-based agent integration patterns, including troubleshooting identity,permissionsand data flow., • Strong API and integration skills, including REST/JSON, custom connectors, OAuth 2.0, Microsoft EntraIDand securesecretsmanagement., • Pro-code engineering capability in one or more languages such as TypeScript/JavaScript,C#or Python, with experience extending low-code services appropriately., • Strong software engineering practice, including testing, version control, code review, documentation, CI/CD, observability and supporting live services., • Ability to lead technical decisions for medium-to-high complexity work, communicate trade-offs and escalate architecture or security risks appropriately., • Practical understanding of security, data protection, accessibility and responsible AI controls for enterprise applications and agents. Desirable criteria • Experience with Azure Functions, Logic Apps, API Management, Key Vault, Application Insights, Azure AIservicesor comparable cloud components., • Experience with retrieval-augmented generation, vector search, embeddings, enterprisesearchand evaluation of grounded responses., • Experience with agent observability, tracing, prompt and version management, red teaming or automated quality and safety testing., • Experience integrating Microsoft Graph, SharePoint, Power BI,Fabricor other Microsoft enterprise services., • Experience defining Power Platform environment, solution, data-loss-preventionand application lifecycle management patterns., • Relevant Microsoft certifications, or experience delivering technology in government, justice, regulated or security-conscious environments. This role will require you to have or be willing to go through Security Clearance. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard; details of the evidence required to apply may be found on the government website Gov.UK. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview. By joining us you can expect • Autonomy to develop and grow your skills and experience, • Be part of exciting project work that is making a difference in society, • Strong, inspiring and thought-provoking leadership, • A supportive and collaborative environment As well as this, we offer: • Development access to LinkedIn Learning, a management development programme and training, • Wellness 24/7 Confidential employee assistance programme, • Social - Breakfast Tuesdays, Thirsty Thursdays and Pizza on the last Thursday of each month as well as commitment to charitable causes, • Time off 25 days a year, • Pension Salary Exchange Scheme with 4% employer contribution and 5% employee contribution, • Life Assurance of 4 times base salary, • Private Medical Insurance which is non-contributory (spouse and dependants included), • Worldwide Travel Insurance which is non-contributory (spouse and dependants included) #J-18808-Ljbffr

Location: London, United Kingdom Contract Length: 2 weeks (short-term, urgent engagement) Day Rate / Pay: £400-£450 per day IR35 Status: Outside IR35 Microsoft Defender Migration Specialist contract supporting a time-critical transition from SentinelOne to Microsoft Defender for Endpoint and onboarding the estate into Arctic Wolf MDR. The role provides hands‑on endpoint security engineering expertise to plan and execute the migration while maintaining continuous EDR coverage. • SentinelOne, • Microsoft Defender for Endpoint (MDE), • Microsoft Defender for Cloud, • Microsoft Intune, • Jamf / Jamf Pro, • Windows and macOS endpoint management, • Enterprise EDR deployment and migration, • MDR onboarding and integration, • Previous experience implementing or transitioning to Arctic Wolf MDR, • Experience migrating enterprise environments from SentinelOne to Microsoft Defender, • Experience with Windows server security monitoring and event log ingestion, • Experience managing complex endpoint estates, including VIP and retail/POS environments This engagement works alongside the organisation’s IT team to deliver the MDR service transition to Arctic Wolf. You will be accountable for preparing the endpoint and server estate for onboarding, coordinating agent and sensor deployment, and validating integrations required for live monitoring. Success is measured by confirmed operational monitoring in Arctic Wolf and Microsoft Defender before SentinelOne is removed across the estate. Working environment is hybrid, based in London. • Validate and segment the endpoint and server estate, including Intune-managed Windows, Intune-managed macOS, Jamf-managed macOS and VIP/POS endpoints, • Develop and execute a comprehensive SentinelOne-to-Microsoft Defender migration plan, • Ensure continuous endpoint protection and security monitoring throughout the migration, • Deploy and configure Microsoft Defender for Endpoint and Defender for Cloud, • Coordinate deployment of Arctic Wolf agents and network sensors, • Complete Arctic Wolf onboarding activities, including management API integrations and Windows event log ingestion, • Validate operational integration between Microsoft Defender and Arctic Wolf MDR, • Confirm successful onboarding and monitoring before removing SentinelOne across the estate, • Support technical troubleshooting, deployment exceptions and transition risk management, • Ability to support a short-term, urgent engagement (2 weeks), • London-based hybrid working arrangement #J-18808-Ljbffr

At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. As a Member of Technical Staff, Data & Evals in Harvey Research, you’ll build the data and measurement systems that power our post-training, benchmarking, and agent capability efforts. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own synthetic data pipelines, evaluation design, the tasks and grading behind training environments, and the systems that turn feedback from domain experts into training signals and rewards. These are tasks where correctness often can’t be verified automatically, so defining and measuring quality is a core research challenge. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work. We’re looking for research engineers who can build reliable data and evaluation systems, question what a metric actually tells us, and work closely with researchers and legal experts to turn model failures into measurable improvements. Learn more about our work at harvey.ai/research. Build synthetic data pipelines that generate, filter, and curate training and evaluation samples for complex legal reasoning and agentic workflows. Design evaluations and verifiers that reflect real legal work, calibrate them against expert judgment, and investigate where they fail. Build and maintain capability benchmarks like our Legal Agent Benchmark (LAB), along with product-focused evals that track how models perform on real customer workflows. Work with legal domain experts to define quality metrics, rubrics, and other grading mechanisms for training and evaluation. Own training and evaluation data quality, including provenance, coverage, and safeguards against contamination. Close the loop from product usage and customer feedback to new evaluations and training data, so models improve where customers need them most. Partner with researchers to investigate model failures, distinguish real gains from misleading metrics, and use findings to guide training and release decisions. Experience building data pipelines, ML evaluation systems, or experimentation tooling, with strong Python skills and ownership of production-quality code. A rigorous approach to measurement, including statistical reasoning, experimental design, and understanding when a metric can mislead. The ability to translate ambiguous goals or expert judgment into structured datasets, rubrics, and measurable criteria. Experience with synthetic data, LLM evaluations, automated raters, or preference data is a plus. Strong data and measurement engineering experience close to ML model development is valuable even without prior LLM work. We are hiring for this role across multiple levels. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing #J-18808-Ljbffr

Senior Software Engineer | Autoplanner | Hybrid Working | London Introduction: We are Ocado Group, and we're bringing world-class automation to online grocery. Our Ocado Smart Platform (OSP) combines cutting-edge robotics, AI, and IoT within our advanced CFCs (Customer Fulfilment Centres). We've mastered the single pick, transforming online delivery for our global partners. Join us and be part of a team pushing the boundaries of retail technology. About the Role: As a Senior Software Engineer in the Autoplanner team, you will own the software engineering that brings our data science and machine learning products into live production. Autoplanner builds AI-powered systems that unify planning across global warehouses and last-mile assets, delivering globally optimized plans that maximize profit and minimize lateness. You will act as the engineering partner to our data scientists, ensuring our systems remain robust, highly scalable, and efficient as we roll out to more international retail partners. Our services are mostly Python, but we use Java where a service integrates closely with the Ocado Smart Platform, to take advantage of its shared tooling. In this role, you will write typed, well-tested Python and oversee cloud-based data applications from end to end. You will contribute to core architectural decisions, improve CI/CD pipelines, and raise engineering standards across the team through pairing, code reviews, and shared tooling. Additionally, you will harness AI coding tools in production while maintaining a strong emphasis on engineering discipline, system performance, and high-quality software craft. Key Responsibilities: • Develop and maintain data- and ML-driven, cloud-based applications., • Build and maintain robust APIs and data contracts for data science teams and broader Ocado systems., • Manage cloud deployments and continuously improve CI/CD pipelines across diverse AWS environments., • Package, version, serve, and monitor machine learning models in live production environments., • Drive architecture decisions across repository, application, and system levels, documenting them as Architecture Decision Records (ADRs)., • Partner directly with data scientists to transition advanced algorithms and models into scalable production systems., • Collaborate with software engineers across Ocado Technology to integrate applications within the Ocado Smart Platform (OSP)., • Elevate engineering practices across the team through pairing, code reviews, shared tooling, and responsible AI agent integration., • Share in on-call and production support responsibilities for critical live operational services. What We're Looking For: • Proven experience as a Senior Software Engineer owning end-to-end production Python services., • Extensive background building data-intensive cloud applications, preferably asynchronous, event-driven, or queue-based architectures., • Strong practical knowledge of AWS and/or GCP identity, networking, and messaging services., • Solid software design capabilities, including defining system boundaries and crafting high-level architectures., • Rigorous testing and delivery discipline, encompassing integration testing and modern CI/CD practices., • Hands-on MLOps experience, specifically in packaging, serving, and monitoring ML models in production., • Demonstrated track record of collaborating effectively with data scientists and cross-functional engineering teams., • Practical experience using AI coding agents on production codebases, with a sharp judgment on validating and verifying AI-generated output. We believe in supporting our people with meaningful, flexible benefits that prioritise well-being and work-life balance. Here's a snapshot of what you can expect: • Time to recharge: 25 days annual leave (rising to 27 after 5 years), plus the option to buy more – and 30 days a year to work from anywhere in the world., • Health & wellbeing: Private Medical Insurance from your first month, wellbeing support through specialist apps and EAP, plus Income Protection and Life Assurance., • Family-first policies: 22 weeks paid maternity/primary carer leave and 6 weeks paid paternity leave., • Financial support: Pension with employer matching up to 7%, share schemes (Sharesave & BAYE), and interest-free loans for train tickets., • Commuter perks: Cycle to Work Scheme and free shuttle buses to/from Hatfield and Welwyn Garden City stations., • Exclusive discounts: 15% off at Ocado.com with free delivery (starting in your first month). Be bold, be unique, be brilliant, be you. We are looking for individuality and we value diversity. We are an equal opportunities employer and we are committed to treating all applicants and employees fairly and equally. We are committed to making reasonable adjustments to provide a positive, barrier-free recruitment process and supportive work environment. If you have any support or access requirements, we encourage you to advise us at the time of application. Can't find what you're looking for or not ready for a move? Join our Talent Community to stay up to date with Ocado Group news and events, you'll also be the first to know about new opportunities - before they are posted. #J-18808-Ljbffr

Mimica is hiring a Forward Deployed Engineer to join our Intelligent Automation team. You will embed with enterprise customers, turning process insights into production-ready automations and driving projects from discovery to live deployments. As a senior contributor, you will design AI agent workflows, work with frontier models like Claude, Gemini, and GPT, and mentor junior developers while maintaining production-grade quality and security standards across Google Cloud Platform deployments. #J-18808-Ljbffr

We are a team building the infrastructure for the agent era. A decade ago, the brands that leaned into mobile won. The same shift is happening with agents: how people find businesses, ask questions, and buy is moving from static pages into conversations. 800 million people already discover brands through agent search, and who gets chosen is being decided right now. Embed with Point11's first European enterprise customers and put Point11 to work inside their business: digital twins of their customers and the campaigns that run on them, and Site, Chat, and Voice in their live customer journeys. You write in their codebase and ship to their customers. Every interaction has to feel intelligent, and it has to happen in .11 seconds. Small team, high bar. Founded by ex-Googlers. We hire accordingly. • Lead Point11's first UK deployment: a bank or insurer's customer data, its digital twins, and the campaign that shows where its customers get stuck., • Deploy Point11 Voice inside a European customer journey, within GDPR and the customer's own compliance rules., • Write the European deployment playbook the next FDEs will use., • Learn a client's stack, org chart, and constraints, then find exactly where our platform fits, • Debug production during rollouts and present the architecture to heads of engineering, • Own the technical relationship. Client feedback goes straight to core engineering as product input, • Work with our London Account Executive from first meeting to go-live, • Fix what breaks at launch, document what works, and make every FDE faster, • You've shipped production software and you're strong across the stack, • You've integrated enterprise systems: CRMs, CDPs, data warehouses, APIs, SSO/SAML, • You earn trust in a room of executives and respect in a room of senior engineers, • You have the right to work in the UK, • You're in London or willing to relocate. This role is hybrid, with up to 50% travel to client sites., • Client-facing engineering: solutions engineering, professional services, or consulting, • Financial services, insurance, or retail in the UK or Europe, • GDPR and data residency in practice, • Hands-on with AI/ML APIs, conversational AI, or voice agents, • A founding role in Point11's European team, • Hybrid in London with client travel, • Employed in the UK through our employer of record, with local benefits, • A direct line to the founding team on product, • Your work shows up in revenue, not a backlog Point11 provides equal employment opportunities to current and prospective employees, without regard to race, color, religion, sex, gender identity, national origin, sexual orientation, age, pregnancy, disability, marital status, or any other status protected by the laws of the country where the role is based. #J-18808-Ljbffr

As a Senior Software Engineer in the Autoplanner team, you will own the software engineering that brings our data science and machine learning products into live production. Autoplanner builds AI-powered systems that unify planning across global warehouses and last-mile assets, delivering globally optimized plans that maximize profit and minimize lateness. You will act as the engineering partner to our data scientists, ensuring our systems remain robust, highly scalable, and efficient as we roll out to more international retail partners., In this role, you will write typed, well-tested Python and oversee cloud-based data applications from end to end. You will contribute to core architectural decisions, improve CI/CD pipelines, and raise engineering standards across the team through pairing, code reviews, and shared tooling. Additionally, you will harness AI coding tools in production while maintaining a strong emphasis on engineering discipline, system performance, and high-quality software craft., • Develop and maintain data- and ML-driven, cloud-based applications using clean, typed Python., • Build and maintain robust APIs and data contracts for data science teams and broader Ocado systems., • Manage cloud deployments and continuously improve CI/CD pipelines across diverse AWS environments., • Package, version, serve, and monitor machine learning models in live production environments., • Drive architecture decisions across repository, application, and system levels, documenting them as Architecture Decision Records (ADRs)., • Partner directly with data scientists to transition advanced algorithms and models into scalable production systems., • Collaborate with software engineers across Ocado Technology to integrate applications within the Ocado Smart Platform (OSP)., • Elevate engineering practices across the team through pairing, code reviews, shared tooling, and responsible AI agent integration., • Share in on-call and production support responsibilities for critical live operational services., • Proven experience as a Senior Software Engineer owning end-to-end production Python services., • Extensive background building data-intensive cloud applications, preferably asynchronous, event-driven, or queue-based architectures., • Strong practical knowledge of AWS and/or GCP identity, networking, and messaging services., • Solid software design capabilities, including defining system boundaries and crafting high-level architectures., • Rigorous testing and delivery discipline, encompassing integration testing and modern CI/CD practices., • Hands-on MLOps experience, specifically in packaging, serving, and monitoring ML models in production., • Demonstrated track record of collaborating effectively with data scientists and cross-functional engineering teams., • Practical experience using AI coding agents on production codebases, with a sharp judgment on validating and verifying AI-generated output., • Time to recharge: 25 days annual leave (rising to 27 after 5 years), plus the option to buy more - and 30 days a year to work from anywhere in the world., • Health & wellbeing: Private Medical Insurance from your first month, wellbeing support through specialist apps and EAP, plus Income Protection and Life Assurance., • Family-first policies: 22 weeks paid maternity/primary carer leave and 6 weeks paid paternity leave., • Financial support: Pension with employer matching up to 7%, share schemes (Sharesave & BAYE), and interest-free loans for train tickets., • Commuter perks: Cycle to Work Scheme and free shuttle buses to/from Hatfield and Welwyn Garden City stations., • Exclusive discounts: 15% off at Ocado.com with free delivery (starting in your first month). #J-18808-Ljbffr

PolyAI is the Agentic Dialog Platform for building the conversational enterprise, used to build, run, govern, and improve dialog agents at scale. Powered by Raven, a proprietary dialog model trained on more than a billion enterprise conversations, PolyAI agents are built for complexity, open at every layer, and sovereign by design. PolyAI serves hundreds of enterprises across 75 languages and 25 countries, including Metro Bank, Marriott, PG&E, and UniCredit. We are expanding our support team, to provide essential support to our client base, by triaging incoming feature requests, faults and more. Further, using our AI builder tools, you'll both show our clients how to update and fix their agents, and do so yourself. You will be responsible for ensuring the satisfaction of our clients and supporting their day to day needs with empathy, an eye for detail and conscientiousness. This is an incredibly hands-on position, as you'll often be interfacing with leadership at global brands. We're offering one of the only client support roles where you can actually listen to everyday people talking to the product you helped manage. • Owning the lifecycle of every support ticket, from submission to resolution or prioritisation, • Making judgments on which feature requests reach engineering, and which you can solve yourself, or with AI tooling, • Translating support requests into AI prompts in the PolyAI Agent Studio, • Investigating faults by listening to live customer calls, to analyse where an issue lies and how to solve it in the most efficient way, often by yourself, • Partnering with both our professional services and customer success teams to find opportunities to upsell clients to more features, • Sharing analytics data with clients to justify your decisions, • Fine tuning PolyAI's support workflow, • Experience on a Support/Service Desk as a Support Agent, Support Engineer, Support Analyst or other support focussed client facing role, including managing and prioritising a high volume of concurrent tickets without compromising response quality or turnaround time #J-18808-Ljbffr

AI Engineer (Consultant) £45,000 - £60,000 Permanent | Leeds (Hybrid) About Enablis 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 Essential: 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 Desirable: 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. TPBN1_UKTJ

About the company the company is a global consulting firm that partners with leaders to drive change and create value. With deep industry expertise, and enabled by advanced technology, the firm helps clients to deliver with greater confidence and certainty. With over 2,000 people across the UK, Europe, North America, Asia and Australia, the firm combines global insight with local understanding. The firm works across energy and resources, financial services, government and public sector, consumer products and retail, pharmaceuticals and life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence – all powered by advanced technology, data, AI and digital innovation. Clients value the company’s collaborative approach and the way its teams integrate seamlessly – all working with a shared understanding of what matters most. The firm is known for its kind, curious experts who listen closely and care deeply about client success as they help clients transform energy markets, modernise financial platforms, expand telecoms and digital networks through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors. Certified as aGreat Place to Work around the world, the company has been recognised by the Financial Times in 22 categories of its UK Leading Management Consultants rankings, and by Forbes for four consecutive years as one of the World’s Best Management Consulting Firms. Our Solutions & AI Lab (SAIL) practice are looking for an experienced AI Architect to join the team. Our Solutions & AI Labs practice helps clients control their data, turn it into actionable insight, and better leverage it through AI and Machine Learning solutions embedded directly into business processes. We support clients across a range of industries and offer deepexpertisein AI/ML, Cloud, Platform Engineering and Managed Solutions. We are looking for an experienced Senior Manager to serve as an AI Architect — someone who can design the end-to-end architecture for enterprise AI platforms, lead consultancy engagements, and grow our AI & Solutions Engineering capability. The AI Architect role owns the technical blueprint for AI-enabled solutions delivered in and around our clients’ environments, combining deep architectural specialism with the commercial and leadership skills to shape and grow our practice. This is a role for someone who thrives at the intersection of client advisory,AIplatform architecture and hands-on delivery leadership — and who has a genuine passion for bringing AI systems to production at scale. What you will be doing As a Senior Manager and AI Architect, you will own and lead the architecture of complex AI programmes end-to-end — from shaping the opportunity and winning the work, through solution design, deliverygovernanceand team leadership. You will bring SME-level depth in enterprise AI architecture and apply it to create real, lasting value for our clients. Although we do not expect you to be an expert in every technology listed below simultaneously, our team consists of people who can advise clients as well as bring deep technical knowledge when needed. Key responsibilities span the following areas. • Own and lead the architecture of complex AI and data transformation engagements, taking accountability for solution design, quality, technicalriskand client outcomes., • Lead and resource multi-disciplinary delivery teams — architects, engineers, datascientistsand consultants — providing clear direction, technicaloversightand people development., • Manage engagement resourcing: forecast team requirements, work with practice leadership to staff engagements, and develop the talent pipeline through mentoring of junior practitioners., • Proactivelyidentifyand manage delivery and architectural risks in complex stakeholder environments, escalating appropriately andmaintainingclient confidence throughout., • Communicate clearly to both technical teams and senior client stakeholders, translating architectural complexity into actionable insight and decisive recommendation., • Conduct rigorous architecture and design reviewsand uphold engineering standards across every engagement you lead., • Act as a trusted advisor to client architects, CTOs, CDAOs and engineering leads, earning trust through depth of knowledge and a demonstrable deliverytrack record., • Build andmaintainstrong, senior client relationships, navigating competing priorities across business,technologyand risk functions., • Facilitate architecture workshops and decision forums, driving alignment across diverse stakeholder groups and securing buy-in for target-state designs., • Translate business strategy into architectural roadmaps, sequencinginvestmentand change in a way that balances ambition with deliverability., • Play a leading role in business development:identifyingnew opportunities, shaping propositions, and supporting or leading bids and tender responses for AI and technology engagements., • Contribute to proposal writing, articulating our capabilities and differentiators, including authoring technical and architecture sections of bid responses to client tenders and RFPs., • Support practice-level growth initiatives, including account planning, capability development, and go-to-market positioning for AI architecture and solutions engineering services. You will be the design authority for enterprise AI platforms, able to reason across the full stack and make credible technology selections. We expect expert-level depth in several of the areas below and working knowledge across the rest. • Architect AI andDataPlatforms using a mix of technologies including Databricks, Snowflake,Claude Enterpriseand the native services of Azure,AWSand GCP-selecting the right tool for the workload rather than defaulting to a single vendor., • Design for scalability, security, costefficiencyand multi-cloud / hybrid patterns, with a strong grasp of containerisation, infrastructure-as-code, event-drivenarchitecturesand CI/CD., • Balance technical excellence with delivery pragmatism and commercial realities, championing the path from prototype to production., • Bring awareness of the broader enterprise landscape and how AI integrates with core operational systems such as SAP, Salesforce, ServiceNow and other systems of record and engagement., • Design integration patterns that let AI capabilities interoperate safely with enterprise data, identity,workflowand process automation platforms– including MCP and A2A and how these capabilities enable an enterprise Agent mesh., • Understand the data,governanceand change implications of embedding AI into mission-critical enterprise processes., • Architect the orchestration and control-plane layer that governs how AI capabilities are exposed,routedand managed across the enterprise., • Design MCP, AI and LLM gateway layers for secure,observableand policy-controlled access to models and tools., • Design agent and skills registries — including recommending suitable technologies and patterns — to enable discovery,reuseand governance of agentic capabilities., • Define the control plane for routing, rate limiting, cost management, modelselectionand version control across multiple model providers., • Design retrieval and reasoning architectures including RAG, corrective RAG (CRAG), and agentic patterns, selecting the right approach for a given business problem., • Architect agent harnesses and their components — planning, memory, tool use, statemanagementand multi-agent coordination., • Design prompt strategies, contextmanagementand grounding approaches for reliable, production-grade LLM behaviour., • Design evaluation frameworks and guardrails that make AI systems safe,reliableand measurable — covering accuracy, safety, bias, and task success., • Embed responsible-AI and governance controls aligned toemergingregulation and client risk appetites., • Define human-in-the-loop and fallback strategies for high-stakes use cases., • Architect logging, monitoring,tracingand cost-observability across the AI stack, including model,agentand platform telemetry., • Design for drift detection, performancemonitoringand continuous evaluation in production (LLMOps/MLOps)., • Establish operational patterns for reliability, incidentresponseand lifecycle management of AI systems at scale. Your skills and experience We're seekinga technically credible, commercially aware leader who brings a rare combination of architectural depth, deliveryaccountabilityand client advisory skill — someone energised by the complexity of taking AI solutions to production at scale. • 7+ yearsin technology consulting,architectureor AI/ML engineering, with at least 3 years in a senior leadership or lead-architect role — including accountability for end-to-end solution design,resourcingand commercial outcomes., • Proven ability to architect enterprise AI platforms across a mix of technologies (Databricks, Snowflake, Azure, AWS, GCP) withstrong designcapability across cloud,dataand AI domains., • Working understanding of how AI integrates with major operational systems such as SAP,Salesforceand ServiceNow., • Hands-on knowledge of agentic AI, LLM gateways, MCP, RAG/CRAG, agent harnesses, evaluations and guardrails, and AI observability., • Demonstrable experience designing and leading data & AI transformationprogrammes, andbuilding high-performing teams in complex stakeholder environments — engaging comfortably at CTO, CDAO or engineering-director level., • Track recordof supporting or leading bid and proposal activity, including writing technical and architecture sections of responses to tenders and RFPs., • A clear, confident communicator able to make the complex accessible for technical and non-technical audiences alike., • Master’s degree in Computer Science, Engineering, Mathematics, Data Science or a related discipline, or equivalent depth through relevant certifications (e.g. AWS Solutions Architect Professional, Google Professional ML Engineer, Databricks / Azure / GCP architecture credentials). We would particularly like to hear from people who have designed and led data & AI transformation programmes across one or more of the following sectors: • Consumer Packaged Goods (CPG), • Retail, • Pharmaceuticals & Life Sciences, • Manufacturing, • Financial Services, • Government and Public Services Prior experience as an embedded or forward-deployed architect within a client environment, and exposure to regulated industries would be desired. What a career at the company will give you PuttingPeopleFirst. the company is a People First company and wellbeing is at the forefront of our culture. We recognise the importance of work-life balance and flexible working and provide our staff amazing benefits. Some of these benefits include: • Generous Annual Leave Policy:We recognise everyone needs a well-deserved break. We provide our employees with 5 weeks of annual leave, fully available at the start of each year. In addition to this, we have introduced our 5-Year Recharge benefit which allows all employees an additional 2 weeks of paid leave after 5 years continuous service., • Flexible Working:We know that the ‘ideal’ work-life balance will vary from person to person and change at different stages of our working lives. To accommodate this, we have implemented a hybrid working policy and introduced more flexibility around taking unpaid leave., • Corporate Responsibility Days:Our world is important to us, so all our employees get 3 every year to help social and environmental causes and increase our impact on the communities that mean the most to us., • Wellbeing Fund:We want to encourage all employees to take charge and prioritise their own wellbeing. We’ve introduced our annual People Fund to support this by offering every individual a fund to support and manage their wellbeing through an activity of their choice., • Profit Share Scheme:All employees participate in the the company Group Profit Share Scheme so everyone has a stake in the company’s success. We are proud to be an Equal Opportunity Employer. We believe that creating an environment where everyone feels a sense of belonging is central to our culture and that diversity is paramount to driving creativity, innovation, and value for our clients and for our people. We are proud to be,... An award-winning workplace You can be a part of our ‘Great Place to Work’ – with our commitment to women and well-being in the workplace for all. Using business as a force for good. We maintain high standards of environmental performance and transparency, which can be seen through our commitment to Net Zero with our SBTI-verified Scope 1, 2 and 3 emissions reduction targets and our support of the Better Business Act. We report our progress publicly and ensure that we are also externally assessed and scored through organisations like CDP and EcoVadis - helping us to continually identify where we can improve. We have a long legacy of supporting the communities in which we work, and offer a variety of ways to contribute, by putting people first and creating impact that lasts. Our Corporate Social Responsibility (CSR) agenda is about giving back to the communities in which we live and work by sharing our skills, talent and time. In essence, we aim to empower and encourage everyone in the firm to contribute to the things we care about, and support registered charities and organisations with a clear social or environmental purpose to increase the positive impact they can have. Join us the company Privacy Notices Your personal data will be retained by the company for up to two years, in accordance with our UK Recruitment Privacy Notice / EU Recruitment Privacy Notice, to evaluate your application and meet our legal and reporting obligations. In line with the General Data Protection Regulation (GDPR), you have the right to request access to, rectification, or erasure (subject to legal limitations) of your personal data. For more information, please contact us at Your personal data may be retained by the company for up to two years, as outlined in ourRecruitment Privacy Notice (AMER & APAC), to support the recruitment process and internal reporting requirements. Where applicable, and in accordance with relevant federal and state laws, you may have the right to request access, or correction of your personal information. For further details, please contact Your personal data will be retained by the company for up to two years, in accordance with our Recruitment Privacy Notice (AMER & APAC), to assess your application and meet applicable reporting and legal obligations. In line with the Australian Privacy Act and Singapore’s Personal Data Protection Act (PDPA), you may have rights to access, correct, or request limited deletion of your personal data. For more information, please contact us at #J-18808-Ljbffr

Insurance isn’t the first industry most engineers think of when they imagine cutting-edge AI work. That’s exactly why this role is interesting. Data & AI UK - London Insurance isn’t the first industry most engineers think of when they imagine cutting-edge AI work. That’s exactly why this role is interesting. CFC’s Data & AI unit is building production agentic systems that automate complex underwriting decisions - not chatbots, not copilots bolted onto legacy workflows, but autonomous multi-step AI agents that reason over unstructured data, assess risk, and drive real business outcomes. We’re using frameworks like LangChain to orchestrate LLM-driven services that sit at the heart of how the business operates. The problems are genuinely hard: ambiguous inputs, high-stakes decisions, and the kind of domain complexity that makes for satisfying engineering. We’re also fundamentally rethinking how we deliver software. We’re moving toward an agentic-first development model - using AI agents not just in what we build for the business, but in how we build it. The goal is to multiply engineering delivery by an order of magnitude: not by cutting corners or generating throwaway code, but by designing robust systems and processes that let agents handle well-defined work while engineers focus on architecture, design, and the problems that actually require human judgment. This is a deliberate, engineering-led approach. We care about code quality, testability, and maintainability - the agent-generated code meets the same standards as everything else. We expect that a successful candidate will be able to bring their expertise to help guide and refine our agentic development process as it matures - a meaningful opportunity to influence how we work as well as what we ship. This is a Senior Machine Learning / AI Engineer role with genuine technical leadership scope. You’ll shape the architecture of AI-driven production microservices, own system design decisions, and work at the intersection of traditional software engineering and applied AI. You’ll collaborate closely with engineers, data scientists, and product managers in a team that’s small enough for your decisions to matter and ambitious enough for the work to stay interesting. • Design, develop, and maintain business-critical AI agent services., • Build tailored agent workflows and services from business requirements, using LangChain and related frameworks with reliable patterns for LLM-driven decision-making in production., • Integrate tests and validation to improve AI agents through evals and monitoring., • Work with software engineers and architects to lead system design and architectural decisions., • Translate technical specifications into clean, testable, and scalable production code., • Work closely with cross-functional teams - engineers, data scientists, product managers - to deliver features on time and to a high standard., • Write unit and integration tests to maintain reliability and service correctness., • Monitor, troubleshoot, and continuously improve production services., • Produce clear, structured documentation for systems, architecture, and processes., • Mentor junior engineers through code reviews, best-practice guidance, and knowledge sharing. We’re looking for an experienced AI or Machine Learning Engineer with strong software engineering fundamentals and a passion for building robust, production-ready AI systems. You’ll be someone who enjoys solving complex technical problems, making thoughtful architectural decisions and working on systems where quality, reliability and maintainability really matter. You’ll have: • Significant experience building production-grade AI agents or LLM-powered services., • Strong Python development experience, ideally with 6+ years of professional software engineering experience., • A track record of writing clean, maintainable and high-quality production code., • Experience supporting business-critical systems in live production environments., • Strong understanding of asynchronous programming, Docker, containerised deployments and modern service architectures., • Experience designing distributed systems, asynchronous microservices and event-driven architectures., • Confidence leading system design discussions and making pragmatic architectural trade-offs., • Strong cloud experience, ideally within Azure., • Experience deploying, monitoring and maintaining ML or LLM models in production., • Familiarity with MLOps, LLMOps, evals, monitoring and lifecycle management., • Hands-on experience orchestrating LLM workflows using frameworks such as LangChain., • An interest in how agentic software development can improve engineering delivery without compromising code quality., • Strong communication skills and the ability to collaborate effectively in remote or asynchronous environments., • An ownership mindset, with the ability to work independently and contribute effectively to shared codebases. We show up each day ready to take on the world. Our passion and intensity set us apart and makes the difference to our colleagues, customers, brokers and carriers. We’re never afraid to question the way that things are done and we constantly challenge ourselves and others to makes things better. Insurance is a serious business, but we don’t take ourselves too seriously. We make it fun to work at CFC, we welcome all viewpoints, and we treat everyone how we would expect to be treated. #J-18808-Ljbffr

We already run two kinds of agent alongside our teams. AI agents diagnose performance problems and tell people the root cause. Rule-based agents recommend marketing actions to our advertising teams. The quality of their decisions shows up directly in our revenue. We already run two kinds of agent alongside our teams. AI agents diagnose performance problems and tell people the root cause. Rule-based agents recommend marketing actions to our advertising teams. The quality of their decisions shows up directly in our revenue. Next, both take a greater role in the day-to-day running of our lead generation business. Every agent needs predictions and decisions, so we need someone who brings both skill sets. Classical ML to predict lead quality and traffic performance, explain drops and forecast. Decision science to learn which action works best when, and prove it beats the rules. You'll join a small data science team and work day to day with our AI engineers, product managers and the operators who use the agents. • Build models. Classification and ranking for lead quality and traffic performance, anomaly detection, and forecasting., • Evaluate and monitor them. Sound validation offline, drift checks once live, working with our platform team, who run model deployment on SageMaker., • Prove impact. Measure each model against commercial KPIs, with A/B tests where we can randomise., • Frame decisions. Turn a business rule into actions, context and reward, agreeing with operators what each decision optimises, with today's rules as the baseline., • Learn policies. Contextual bandits with safe exploration, learning from operator overrides, evaluated off-policy before anything goes live., • Set the evidence for hand-over. Measure how often agents agree with experts and how often they're overridden, and propose the confidence and guardrails an agent must clear before it acts alone. Point people in the business sign off; our AI engineers build the mechanism that enforces it., • Summer Fridays, • Competitive holiday benefits - 25 days a year paid holiday, plus 8 bank holidays (increases 1 day a year up to 30 days), • Hybrid working - 3 days a week in the office, • Closed for Christmas holidays - Extra days not taken from your annual holiday allowance., • Work from anywhere for 2 weeks a year, • Life Assurance and Income Protection to protect your loved ones, • Benefits allowance for health, dental, and vision coverage, • Six months paid maternity leave, and one month paid paternity leave (subject to qualifying conditions) inclusive of same-sex and adoptive parents, • Defined Contribution Pension and Salary Sacrifice Scheme, • Be Well: Our award-winning wellbeing and mental health programme to support all MVFers and their families, • Family Forward support for our MVF parents and their mini-mes, • 2 charity days a year, • 5+ years as a data scientist or in a similar applied ML role, with models you've taken to production and kept working., • Statistics and experimentation: hypothesis testing, A/B testing, power and sample sizing., • Classical ML: classification and ranking with scikit-learn and XGBoost or LightGBM, evaluated rigorously: validation design, calibration, leakage., • Decision science: applied work with at least one of contextual bandits, causal inference or uplift modelling, and the depth to apply it independently., • Tools: strong Python and SQL, Git and code review., • Production experience with bandits, off-policy evaluation or uplift modelling (for example Vowpal Wabbit, Open Bandit Pipeline, EconML or DoWhy)., • Time-series forecasting for budgets, pacing or demand., • Snowflake and dbt, AWS SageMaker., • Lead generation or ad tech., • Commercial impact. You understand how the business creates value and use that to make better choices about what gets built, prioritised or stopped. You define the intended impact before starting, consider the cost of the work and evaluate what happened afterwards., • Delivery and ownership. You take responsibility for outcomes and move at a pace matched to the cost of delay. You follow work through until it is delivered, handed over or deliberately stopped, and remain accountable for what happens after delivery., • Candour and communication. You surface important information early, including when it is uncomfortable, with evidence and a view on what to do about it. You communicate what is known, assumed and uncertain in a form the audience can understand and act on., • Making others better. You create lasting improvement in other people's and the team’s work through teaching, feedback or challenge, and take challenge on your own work as readily as you give it., • Growth and mastery. You deepen your capability through deliberate practice, feedback and experience, build the skills the work will need next, and change established practices when better approaches become available., • Judgement under ambiguity. You make sound decisions with incomplete information and know when to act, elevate or delegate. You own what you ship regardless of how it was produced, and change position when the evidence changes., • Craft and AI-native delivery. You build robust analytical, modelling and AI solutions, choosing the right approach for the problem. You understand and can explain the evidence, assumptions, behaviour and limitations of what you build, and use AI to increase delivery speed without giving up technical ownership., • Architecture and systems design. You design reliable systems that move modelling and AI capabilities from a business problem into effective use. You treat data and context, security and governance, monitoring, failure handling and recovery, cost, performance and lifecycle as part of the design rather than concerns added afterwards. #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

Invisible is an Applied AI research company closing the gap between frontier models and the enterprise. We provide the platform infrastructure that makes AI work in production at scale: unify fragmented data, map complex processes, orchestrate and evaluate agents, and stand up hyper-personalized workflow applications fast for companies like Grubhub, Alliance Global, and Thomson Reuters. Where models fall short, we build RL environments and data to fix them. The result: a virtuous cycle between enterprise deployment and model training. Recognized as Best Predictive Analytics Platform of the Year at the 2026 AI Breakthrough Awards, Invisible makes AI work. Invisible's Data Lab works with leading AI companies to design and deliver the human data that advances model capabilities and measures performance. Our work spans the full frontier of AI training and evaluation—from supervised fine-tuning and preference data to benchmarks, red teaming, multimodal data, coding tasks, and agent environments. Solutions architects are at the center of this work, working with clients to define the problem and translating open-ended model development problems into scalable programs with sound methodology. We are looking for a Senior Solutions Architect to bring technical depth, sharp commercial judgment, and a strong command of the rapidly evolving AI training and evaluation landscape. Embedded within an account team working with a major frontier AI lab, you will lead solution design for new opportunities and pilots. You will partner with Project Leads who own execution, client management, and overall project outcomes, while remaining accountable for the integrity, feasibility, and scalability of the solution through handoff and early delivery. You will often enter when a client's ask is still underspecified. Your job is to understand what they are really trying to achieve, translate that into a collection we can execute, and help the client and our teams make the right technical, methodological, and commercial choices. You will connect the perspectives of client researchers, program managers, Project Leads, experts, and engineers—bringing context that may not otherwise exist in the room. This is not a traditional infrastructure architecture role, nor is it primarily a project management role. It sits at the intersection of ML research, human data, product thinking, and client partnership. Success means teams make better decisions because you are involved: projects are framed correctly, solutions reflect the state of the art, and clients trust Invisible to understand where their work is going next. You will work across a remarkable range of frontier AI problems, with direct exposure to the researchers and program leaders defining them. You will help determine how novel human-data programs should work before there is an established playbook, influence the products and systems used to deliver them, and build reusable ways of thinking that shape how Invisible approaches the field. If you live and breathe LLM training and evaluation, communicate with unusual clarity, and want your judgment to matter in the room, this role offers a rare combination of technical range, client proximity, and real-world impact. • Equip account teams with the technical and research context they need to fully understand client requests and make sound decisions about how to approach them., • Own the solution design of new human-data projects and pilots, working with Project Leads from early discovery and scoping through the transition into execution., • Work directly with client research and program management stakeholders to interpret ambiguous requests, uncover the underlying objective, and turn it into a clear and executable approach. For technical POCs in particular, you may take the lead in the relationship alongside the Project Lead., • Advise on methodology/best practices across supervised fine-tuning, preference data and RLHF, benchmarks and evaluations, red teaming, multimodal data, coding tasks, agent environments, and emerging approaches., • Shape task design, annotation and evaluation workflows, quality and validation strategies, data structures, and the trade-offs between research value, feasibility, speed, scale, and expert experience., • Define the expert profiles a project requires, including the knowledge, experience, and judgment needed to produce credible data., • Bring commercial judgment to early scoping, building rough-cut estimates of effort, expert supply, timeline, and cost so teams can test feasibility and shape viable proposals., • Partner with Engineering to define the expert-facing interfaces and technical architecture that collections require, including workflows, APIs, data exchange patterns, synthetic testing, and validation mechanisms., • Prototype or test critical elements of a solution during discovery, while working with Engineering as the team responsible for production implementation., • Build alignment across clients, account leadership, Project Leads, Engineering, expert operations, and other internal teams., • Stay deeply current on LLM training, post-training, human data, benchmarks, and evaluation research, and translate new developments into practical implications for active and future client work., • Develop and share reusable mental models, patterns, and emerging best practices that raise the technical fluency and solutioning quality of the wider organization., • Deep, demonstrable interest in how frontier AI models are trained, improved, and evaluated. You actively follow the space and can form your own views rather than simply repeat its vocabulary., • Strong working knowledge of LLM training and evaluation concepts, with the ability to reason across data modalities, collection methods, and research objectives., • Exceptional communication skills. You can listen closely, identify what is missing from an underspecified request, explain complex ideas clearly, and influence technical and non-technical stakeholders., • The judgment to challenge assumptions constructively while maintaining momentum and client trust. You know when to ask another question, when to recommend a different approach, and when to make a pragmatic call., • Enough technical fluency in ML, data systems, software architecture, APIs, and data flows to collaborate credibly with researchers and engineers and to shape implementable solutions., • Commercial judgment and comfort with rough-cut budgeting, particularly when weighing research ambition against expert availability, delivery effort, timeline, cost, and unit economics., • Ability to synthesize client context, research intent, expert capabilities, user experience, technical constraints, and operational realities into an executable approach., • Experience working across multiple stakeholders or teams, particularly in ambiguous environments where responsibilities and requirements continuously evolve., • High ownership, curiosity, adaptability, and low ego. You care more about reaching the right answer and improving the outcome than being the person who supplied it., • A background in computer science, software engineering, machine learning, data science, AI research, technical product, solutions architecture, or a related field. Equivalent knowledge gained through independent work or other professional experience is equally welcome., • Direct experience with human-data programs, data annotation, model post-training, RLHF, RLVR, evaluations, benchmarks, red teaming, or research operations., • Experience partnering directly with AI researchers, research engineers, or technical program managers., • Hands-on ability with tools such as Python, SQL, APIs, notebooks, or lightweight prototyping. You will not be the primary builder, but being able to inspect, test, or demonstrate an idea can make you more effective., • Experience designing tools or workflows for specialized users, particularly where expert judgment and data quality are central to the outcome., • Evidence of serious engagement with the field through professional work, research, open-source contributions, technical writing, independent projects, benchmark participation, or other forms of self-directed learning. Bonus and equity is included in all full-time, non commission offers. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process. You can find more information about our geographic pay tiers here. During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living. At Invisible, we’re not just redefining work—we’re reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what’s possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won’t just execute tasks—you’ll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI. We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We’re not for everyone, and we’re okay with that. If you’re looking for predictable routines, this isn’t the place for you. But if you’re driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you’ll fit right in. Invisible is a hybrid organization with offices and team members located around the world. While some roles may offer remote flexibility, most positions involve in-office collaboration and are tied to specific locations. Any location-based requirements or hybrid expectations will be communicated by our Talent Acquisition team during the recruiting process. Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we've outlined expectations for using it ethically throughout your interview journey. Click here to learn more about how we use AI and our guidelines for candidates. We are committed to providing reasonable accommodations for individuals with disabilities. If you require an accommodation to participate in the application or interview process, please submit your request using our accommodation request form. A member of our team will follow up to support your request. We’re an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law. #J-18808-Ljbffr

Grade Level (for internal use): 11 The Impact: At S&P Global, our values - Discovery, Integrity, and Partnership - shape how we work, how we collaborate, and how we earn trust with our customers and each other. We embrace AI as an enabler, guided by rigorous governance and risk management, to enhance what has always defined us: the intelligence of our people, deep relationships, and trusted insights. By leveraging technology with human expertise, we help our teams navigate complexity and deliver actionable, decision-ready intelligence without compromising quality, accountability, or integrity. At S&P Global Ratings, you will contribute to independent credit opinions the market relies on, strengthened by innovation that accelerates analysis. We are People Forward. When you join S&P Global, you’ll benefit from: Joining a diverse community where your growth and well-being come first—just like the 35,000+ colleagues who choose S&P Global every day. Bringing your best self to work in an environment that values inclusion, collaboration, and authentic engagement. Celebrating your achievements with us. We’re committed to your continuous learning, offering education, training, and career coaching to help you grow and adapt in a changing world. Connecting through our People Resource Groups, which foster awareness, engagement, and a sense of community—both within S&P Global and beyond. • Team Contribution & Capability Building Provide day-to-day guidance/coaching to Research Assistants and Rating Analysts, building capability in credit, data discipline, and tooling and reinforcing values-led behaviours. Drive consistency/scalability by codifying standard work and promoting disciplined adoption to strengthen trusted, repeatable insights. Strengthen AI-enabled productivity by creating reusable assets and proposing lightweight automations that free capacity for human analysis and relationship work. Foster continuous improvement by proposing enhancements that remove manual steps without compromising governance or judgement. Partner with senior team members and Data/Engineering to identify and scale AI/automation use cases with governance-by-design, controls, and adoption support., • Core Analytical & Delivery Lead end-to-end execution for assigned credits, ensuring high-quality analysis and timely delivery across priorities with clear accountability. Own surveillance/updates for assigned portfolio, synthesising performance, market signals, and peer context into decision-useful insights and clear implications for risk. Supporting LLM tools/automation being embedded to accelerate workflows, followed by structured validation and refinement using analytical judgement to maintain trusted conclusions. Operate alongside AI agents in recurring workflows. Prepare/review inputs, reconcile metrics, document assumptions/changes to ensure adherence to methodologies/standard operating procedures., • Prepare/review key outputs ensuring clarity and alignment to methodology/sector frameworks and evidentiary standards. Support maintenance/review of models to ensure robustness and repeatability and clear linkage to risk views., • Stakeholder & Market Engagement Engage with external parties alongside senior team members. Crafts client and executive-ready stories that translate complex data, analysis, and research into a clear narrative. Advising on issues within clear parameters, integrating and communicating complex information to convey S&P’s analytical expertise and drive engagement with market participants. Building trusted stakeholder relationships through emotionally intelligent, collaborative and adaptable delivery., • Risk Management and Operating Ensure adherence to methodology/confidentiality/data governance; elevate issues early with options/recommendations to protect integrity and trust. Embed responsible, governed AI use: approved tools/data only; protect confidential info. Drive controlled automation/agentic workflows by contributing to design requirements/controls, supporting testing/rollout, and training others. Supports decisions relating to guardrails for automation: defining what can be automated vs must remain human-led (especially material risk calls and committee conclusions). Team Contribution & Capability Building Ownership/execution maturity across multiple credits; delivers high quality with limited oversight and models values-led behaviour. Strong collaboration/relationship management; influences through credibility and constructive challenge . Coaching capability that improves team consistency through shared standards and tools. Continuous improvement mindset. AI fluency with judgement. Core Analytical & Delivery Strong credit/financial/risk analysis linking drivers to forward-looking views and risk appetite. Practical experience embedding AI/LLMs/agents into workflows to improve productivity and insight. Strong analytical tool capability; willingness to learn data/automation tools to facilitate AI-enabled workflows. Stakeholder & Market Engagement Strong synthesis into concise narratives for senior stakeholders/committees with transparent evidence. Effective written and verbal communicator, able to present research and analysis in a clear, structured way that supports informed decision making. Risk Management and Operating High standards for quality, traceability, and governance; operates effectively in controlled environments. Sound judgement on responsible AI use. Ability to contribute to scalable automation/agent workflows. An S&P Global employee at this level would typically have three to 5+ years’ of relevant work experience. Education: Bachelor’s degree or equivalent required. A master’s degree or professional certification (such as CFA) is highly valued. We welcome candidates from traditional finance disciplines as well as diverse academic backgrounds that support innovative and critical thinking. Employees are required to work from the office a minimum of two days per week. Candidates who reach the final stage of the interview process will be asked to attend at least one in-person interview at their nearest S&P Global Ratings office before an offer can be extended. At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions. 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: 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. • Health & Wellness: Health care coverage designed for the mind and body., • Flexible Downtime: Generous time off helps keep you energized for your time on., • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills., • 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., • 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., • 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: benefit-summaries 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. S&P Global has a Securities Disclosure and Trading Policy (“the Policy”) that seeks to mitigate conflicts of interest by monitoring and placing restrictions on personal securities holding and trading. The Policy is designed to promote compliance with global regulations. In some Divisions, pursuant to the Policy’s requirements, candidates at S&P Global may be asked to disclose securities holdings. Some roles may include a trading prohibition and remediation of positions when there is an effective or potential conflict of interest. Employment at S&P Global is contingent upon compliance with the Policy. If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre‑employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. 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: your request will be forwarded to the appropriate person. US Candidates Only: Know Your Rights: Workplace discrimination is illegal 202 - Middle Professional (EEO Job Group) (inactive), 20 - Professional (EEO-2 Job Categories-United States of America), RATNGS202.2 - Middle Professional Tier II (EEO Job Group) This is the site for former colleagues whose roles have been impacted by organizational changes to search for job opportunities with S&P Global. We are committed to providing impacted team members priority consideration for new opportunities. #J-18808-Ljbffr

Scale's Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. As a Senior Applied AI Engineer, you'll own the AI behaviour of production systems our clients depend on, including the agents, evaluations, and backend integration behind them. You'll lead delivery for your workstream and act as the technical point of contact for clients on how their AI performs on live data. • Own the AI layer of production systems for public sector clients, including agents, model integration, and the backend services they run on, • Build production agents from established architectural patterns, with reliable tool calling, guardrails, and observability, • Select and adapt established evaluation methods, and design new evaluations for client-specific risks, • Apply context engineering, retrieval-augmented generation, model adaptation, or inference optimisation, • Investigate regressions in the systems you own, lead root-cause analysis, and implement preventative changes, • Lead project planning for your workstream and manage client expectations on scope, risk, and delivery, • Codify recurring client work into reusable tooling, evaluation components, or guidance that other engineers adopt, • Mentor engineers through code review, pairing, and delegated ownership, • Backend engineering experience, with a track record of taking AI/ML systems into production and keeping them reliable, • Ownership of the AI behaviour of a production system end to end, rather than delivering a component scoped by another team, • Hands-on evaluation design that ties model behaviour to real-world outcomes, used to catch regressions, • Comfort working directly with clients, including explaining model behaviour and trade-offs to non-technical stakeholders, • Practical knowledge of handling regulated or sensitive data and designing for auditability; sovereign or on-premise deployment experience is valuable, • Experience leading root-cause analysis on production AI or ML systems Your primary accountability covers production AI behaviour, its backend integration, and the evaluation required for a specific customer. Senior Full-Stack Engineers own the complete user-facing application and its infrastructure. ML Research Engineers lead novel agent architecture and the benchmark methodology used across accounts. The roles work together on agents and evaluation, with accountability set by the scope of the problem. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world’s most important decisions. Our products provide the high-quality data and full-stack technologies that power the world’s leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor’s Know Your Rights poster for additional information. We comply with the United States Department of Labor’s Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information. #J-18808-Ljbffr

Are you an experienced lettings professional who wants more control over your income and your business, without taking on the full burden of compliance and operational risk? The Letting Experts is built for agents who know they could earn more and manage their own portfolio, but are held back by the complexity of going it alone. As a Partner Agent, you build your own lettings business with the systems, compliance support and structure already in place so you can focus on growing your income rather than managing risk. Let four properties per month and earn over £70,000 in your first year. You receive 70% of the letting fees and property management fees you generate. • Based on an average monthly rent of £1,325, • Income grows as your managed portfolio grows, • Residual income opportunity through revenue share as you build your network, • Compliance Support Team: A dedicated team handling pre-tenancy compliance, move-in process guidance, rent collection, client accounting, legal guidance and property management assistance. You can grow your business confidently without carrying the compliance burden alone., • Training and Support: Structured onboarding, access to weekly live team sessions, in-person events with industry-recognised speakers and dedicated one-to-one support from a Success Coach., • Property Management Training: A comprehensive online learning platform covering the latest lettings legislation and property management best practice, with the opportunity to gain industry-recognised qualifications including CeLAP and CePAP., • Success Blueprint: A proven, step-by-step roadmap of systems, processes and strategies to help you build momentum and achieve consistent results., • Personal Branding: You become the recognised face of lettings in your local area, with marketing built around your name and reputation to position you as the go-to letting professional., • Marketing Materials: A fully branded business-in-a-box package with digital assets, social content, direct mail and branded merchandise., • Tools and Technology: Market-leading platforms including a purpose-built CRM, Rightmove, Propoly, PayProp, FlatFair and more., • Experienced lettings professional, portfolio manager or property manager, • Strong knowledge of lettings legislation and compliance requirements, • Existing network of landlords and investors is an advantage, • Self-motivated and ready to build a business with structured support behind you The Letting Experts is part of The Experts Group, a network of over 250 partners operating across residential and commercial property, lettings, auctions, mortgages and recruitment. We help experienced lettings professionals start and grow their own business with the compliance support, systems and training typically only available inside a larger agency. With regulation in the lettings sector increasing and compliance requirements tightening, the model ensures you can grow a sustainable, compliant business without taking on the risk alone. You run your business independently, but never in isolation. #J-18808-Ljbffr

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. • 8+ years of experience in software engineering, with deep hands‑on experience designing, coding, testing, and operating scalable, resilient, production‑grade backend systems and cloud‑native services, • Expert‑level coding capability in modern programming languages such as Python, TypeScript, or similar, with the ability to personally contribute high‑quality production code while guiding technical direction, • Deep hands‑on expertise building enterprise AI applications using large language models, AI agents, retrieval‑augmented generation, prompt engineering, orchestration frameworks, evaluation methods, and model optimisation techniques, • Proven ability to take complex AI solutions from prototype to production, making practical engineering trade‑offs across performance, scalability, reliability, security, maintainability, and cost, • Deep experience with system integrations and modern interoperability protocols, including Model Context Protocol (MCP) and agent‑to‑agent (A2A) standards, with the ability to define integration patterns and shape how these are adopted at scale, • Hands‑on breadth across major cloud platforms and marketplace ecosystems, including Microsoft Azure, Amazon Web Services, Google Cloud Platform, and Databricks, with experience deploying and operating integrations in production across these environments, • Strong experience designing and implementing application programming interfaces, distributed systems, event‑driven architectures, and data pipelines, including batch ingestion, streaming, and connector frameworks for enterprise data delivery, • Proven experience delivering technical proofs of concept, live demonstrations, and prototype solutions to partners and enterprise clients, and turning the successful ones into durable, production‑grade systems, • Strong understanding of enterprise OAuth flows and secure authentication patterns for multi‑platform integrations, • Demonstrated ability to influence technical direction while remaining close to the codebase, mentoring engineers through design reviews, code reviews, pairing, debugging, and hands‑on problem solving, • Demonstrated commitment to responsible AI practices, including AI risk awareness, ethical use, governance, evaluation, monitoring, and continuous improvement of AI‑enabled products and services, • Excellent collaboration and communication skills, with the ability to lead solution architecture design, technical diagramming, and whiteboarding sessions for both engineering and executive audiences, and to represent the organisation credibly in external technical engagements, • Bachelor's degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field, or equivalent practical experience Design, code, and lead delivery of scalable AI platforms and intelligent applications that bring emerging AI capabilities into production across partner ecosystems • Act as a hands‑on technical leader, spending significant time designing, coding, reviewing, debugging, and improving production systems that support AI‑powered products and partner integrations, • Own the end‑to‑end technical architecture for the AI partner ecosystem, producing system diagrams, architecture documentation, and design standards that align engineering efforts with product vision and stakeholder expectations across multiple initiatives, • Architect and evolve the agentic workflows, skills, and tool‑use integrations that allow AI systems to interact with Moody's platforms and third‑party services via MCP and related protocols, and define the patterns other engineers build against, • Implement advanced large language model applications using retrieval‑augmented generation, prompt orchestration, evaluation frameworks, model optimisation, agentic workflows, and tool integration, • Build and deliver compelling proofs of concept, live demonstrations, and prototype solutions that showcase platform capabilities and accelerate partner adoption, then harden them into scalable, maintainable production systems, • Serve as the senior technical advisor in client‑ and partner‑facing engagements, effectively communicating complex AI architectures, solution options, and recommendations to both technical and non‑technical audiences, • Deploy, monitor, and optimise integrations across cloud environments including Microsoft, AWS, GCP, and Databricks, establishing operational and reliability standards for the team, • Define and champion integration patterns and protocols, including Model Context Protocol (MCP) and A2A, ensuring seamless interoperability across platforms and influencing how these standards are adopted across the organisation, • Track and assess AI partner technical roadmaps from hyperscalers and leading AI providers, identifying opportunities to enhance products and translating partner capabilities into actionable engineering work, • Establish engineering best practices through hands‑on contribution, code reviews, technical design reviews, automated testing, observability, and operational excellence, • Champion responsible AI practices including evaluation frameworks, model lifecycle management, prompt versioning, monitoring, and continuous improvement of AI‑enabled products, • Partner with product managers, engineering leaders, and business stakeholders to translate strategic priorities into robust, buildable technical solutions, and contribute to build/buy/partner decisions, • Mentor engineers through practical technical coaching, pairing, code reviews, design feedback, documentation, and example‑setting as a senior individual contributor Our team is responsible for building and deploying intelligent, AI‑powered solutions that drive innovation across products and platforms. We shape the product ecosystem through AI, data, and strategic partnerships—embedding large language models, agentic platforms, and advanced analytics into how insight and value are delivered. We partner with leading AI and technology providers including Anthropic, Microsoft, AWS, and Databricks to accelerate innovation and expand platform capabilities. Collaboration is central to how the team works. Engineers contribute across the full AI lifecycle, from experimentation and prototyping through to large‑scale production deployment, while helping shape reusable platforms, integration standards, and responsible AI practices. By joining the team, you will work on some of the most exciting challenges in applied AI, contribute directly to production code and architecture, and be part of a culture that values curiosity, innovation, knowledge sharing, and continuous growth. Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary. #J-18808-Ljbffr

Seldon is seeking a highly skilled researcher to join their Research team in London. You’ll build psychologically grounded models of user behavior and deploy them in live interfaces, shaping agent actions and outcomes. You’ll work with engineers to productionize your models and run human studies to validate results. Ideal candidates hold an MSc/PhD or postdoc in related fields and have experience with decision-making research, RL or agent-based modeling. #J-18808-Ljbffr

The CRM & Lifecycle team sits within Marketing at Bloom & Wild, responsible for the customer communication journey — from transactional and triggered emails to lifecycle campaigns and subscription comms. Right now the team is navigating a shift toward more technical, complex builds at a time when the business is leaning hard into subscriptions. The team has already embraced AI — a CRM strategy planner, a subscription briefing agent, and an impact-and-error triage tool — and is looking for someone who can both build campaigns hands-on and help extend those AI investments. This is a team that cares wildly about getting the details right in customer‑critical communications, thinks deeply about how to automate the repetitive work, and stays open to new ways of working. We're looking for a Technical Senior CRM Associate to backfill a departure and take ownership of the hands‑on build work that keeps our customer comms running. You'll report to Libby, our Senior CRM & Lifecycle Manager, and work closely with Rosie Hook, our Email Developer. This is an IC role at Senior Associate level — you'll own your area in your own right, making independent decisions and improvements, while working across teams to get builds live. • Build and own complex transactional and triggered email campaigns using HTML, CSS, and Liquid logic, ensuring reliability across customer-critical comms (transactional, subscription, diversions)., • Take ownership of campaign QA — building confidence in customer-critical comms and investigating more sustainable, scalable QA solutions over time., • Write SQL queries for audience segmentation and data pulls, powering targeted lifecycle campaigns and subscription comms., • Use AI-assisted SQL drafting and checking to speed up segment pulls and reduce errors., • Own API trigger documentation in collaboration with Product and Engineering, keeping build logic and integration points clear and current., • Execute technical changes to the AppsFlyer testing set-up and support deep-linking builds across app and email channels., • Work closely with Libby on campaign priorities and with Rosie Hook on where technical build work meets platform automation — freeing Libby to focus on strategy and growth, and Rosie Hook to focus on segmentation, personalisation, and AI solutions., • Support the team through BFCM and Christmas peak periods, when build volume and complexity increase significantly., • Contribute to the team's knowledge base — documenting build logic, sharing learnings, and helping others level up on technical CRM skills., • A curious, innovative mindset — you love figuring out new tech, testing, learning and trying new things, and often take the initiative to improve them., • You're excited about problem-solving and love to take a logical and collaborative approach to finding solutions., • You care about the detail — you're methodical and precise and deliver to a consistently high standard., • A data-driven decision maker — you love to understand the data and derive insights., • You love to collaborate, and are at your best when working cross functionally with other teams., • Hands‑on experience building transactional and triggered email campaigns with HTML, CSS, and Liquid logic., • SQL skills for audience segmentation and data pulls., • Experience working with CRM/email platforms and API integrations. These are some of the skills and experience we think will enable success in this role, but please don't worry if you are missing some of these. We're committed to building a team made up of different strengths, skills and experiences, so if you're excited about our values, passionate about what you do and would like to join us in doing things more thoughtfully, we'd love to hear from you. We know that we learn through our differences, and building a diverse team has always been central to creating the best experience for our customers. We value all backgrounds, perspectives, ideas and experiences, and encourage everyone to share their opinions openly within our caring and inclusive team. Our champions community actively advances our culture of inclusion and belonging, which is organised around 8 pillars of diversity. These cross-business networks offer additional opportunities for connection, education, support and celebration, and ensure that inclusivity continues to be embedded in our ways of working. We really believe in the power of connection. For us that looks different depending on the team you work in. Some of our teams work together in person every day, whereas others may connect in person every quarter. We also believe in flexibility that supports you, the work you do, and your team. How much you work from home and from our office depends on a balance of those needs, and you'll agree this with your manager. Whether it’s through a shared project, a learning and development opportunity, or an afterwork social - we trust our teams to make the right decisions (for them and us) about where and how they work each day. We’re big on collaboration, empathy, knowledge sharing and growth, and our values drive our priorities every day: Lead change for good: we have the guts to try new things and step up to do what matters most Think deeply, act swiftly: we make sure there’s thoughtful rationale behind our approach and always act swiftly to implement ideas Care wildly: we pour care and creativity into everything we do and pay attention to the things that make a difference Stay open, be curious: we’re open about what we’re doing and why, and we welcome challenges from each other To care wildly for our customers, firstly we care wildly for our teams. We work hard to craft a culture of thoughtfulness and care, where there is a strong sense of inclusion and belonging, enabling all of our people to thrive and be successful each day. Our perks and benefits include: • Flexible working & work from abroad, • 25 days holiday + your birthday + flexible bank holidays, & option to buy additional holiday each year, • 1 Volunteering day each year, • Enhanced family leave and a workplace nursery scheme, • A flexible training framework for every stage of your career, • Irresistible discounts on our products, blooms & subscriptions!, • Share in our success with a choice to take equity options from day 1, • ClassPass membership: monthly credits to spend on fitness classes, yoga and much more!, • For more information on our perks & bens, please see www.bloomandwild.com/careers #J-18808-Ljbffr

London · full-time · reports to the co-founders. You will be the hands-on technical lead for full-stack delivery, cloud operations and security at Towards AI Deployment, and the main technical counterpart for our clients' IT and security teams. You build production software for private equity-backed businesses and financial firms, and make sure everything we ship and run meets a standard we can evidence to any enterprise security team. You do not need AI in your title: our AI engineers lead on models, retrieval and evaluation; you lead on the product, infrastructure, security and integration that put their work into production. Technical Lead, Platform & Security London · full-time · reports to the co-founders. You will be the hands-on technical lead for full-stack delivery, cloud operations and security at Towards AI Deployment, and the main technical counterpart for our clients' IT and security teams. You build production software for private equity-backed businesses and financial firms, and make sure everything we ship and run meets a standard we can evidence to any enterprise security team. You do not need AI in your title: our AI engineers lead on models, retrieval and evaluation; you lead on the product, infrastructure, security and integration that put their work into production. • Discovery and technical planning with client IT teams: scope, architecture, estimates and milestones around their workflows, data and systems., • Full-stack products (frontend applications, Python services, APIs, databases, background jobs) integrated with enterprise stacks: identity and SSO, ERP, CRM, finance and service-desk systems, data platforms., • Cloud delivery and production operations: infrastructure as code, containers, separate environments, CI/CD, monitoring, incident response, backups and tested recovery., • Security across client delivery and our own engineering, from a documented improvement plan: OWASP and ASVS secure development, enterprise identity and access, hardening to Cyber Essentials Plus readiness, AI and agent security, an ISO/IEC 27001-aligned ISMS, UK GDPR work with client legal teams., • Architecture documentation, handover, procurement security reviews and technical due diligence; mentoring engineers and the deployment templates and review workflows the team builds to. Daily, expert use of Claude Code, Codex, Cursor or similar agentic tools is non-negotiable; engineers who work this way outpace the rest by a wide margin, and that gap is the bar. We expect intelligent supervision: you give the agent the right context, constrain the task, run the tests, catch weak assumptions and take control back when needed. You never ship what you don't understand, and you build the tooling (skills, MCP servers, eval harnesses) that makes the team faster. A senior engineer who has run real production systems and earns the trust of enterprise IT and security teams: you can build the product, harden the infrastructure underneath it and walk a client's security team through both. • Full-stack delivery across frontend, backend, databases and deployment, with strong Python and production TypeScript (React, Next.js or comparable)., • Systems administration as part of running production (Linux, Entra ID, Active Directory or Okta, networking, DNS, patching, backups) and production cloud on AWS, Azure or GCP., • Integration work inside established enterprise IT estates, within client architecture, security-review and change-control processes., • Hands-on application and cloud security (OWASP, Cyber Essentials, ISO/IEC 27001 or comparable), including the risks introduced by coding agents and their providers., • Expert daily use of coding agents as your normal workflow, with agent access to client data and production restricted and sensitive actions approved by a human; you will show us., • Leading technical discussions with client IT, engineering, security and business teams on architecture, risk, estimates and delivery decisions., • Typically 10+ years in enterprise software with hands-on ownership of production systems., • Useful: production AI systems or MCP integrations; Microsoft 365, SharePoint, ServiceNow, Salesforce or SAP; Cyber Essentials Plus, ISO/IEC 27001, ISO/IEC 42001 or SOC 2 programmes; consulting, financial services or PE-backed companies. A lead role: you own platform, operations and security across engagements and set the standard our engineers build to. As the practice grows, it grows into the engineering leadership of the deployment business or a wider assurance remit across our clients' portfolios. • Location: our London office, fully in person, with flexibility when you need it; some travel to clients in the UK and abroad., • Right to work: you need the right to work in the UK before you start; for exceptional candidates we can sponsor a visa., • Pay: a market-rate base calibrated to the level, plus a potential performance bonus., • Tools: team plans on Claude Code and Codex; Granola, Notion, Slack and Linear; the Towards AI curriculum., • We hire for talent, curiosity and character, and want a team where people of every background can do their best work. Two to three rounds depending on the role, 45 minutes each; we aim for about three weeks from first conversation to offer: a conversation with two co-founders about what you have built and how you build with AI; a take-home case capped at five hours, delivered as a repo, then a debrief where you present it (no live coding tests); for strategists and enablement leads, a live case or workshop in our London office where possible; then a call with one of our co-CEOs to make the offer, subject to two references and right to work. Towards AI Deployment is the build side of Towards AI Inc., the AI deployment and education firm founded in 2019 (500,000+ practitioners trained, a 200,000+ newsletter, the O'Reilly book Building LLMs for Production). We go into private equity firms, portfolio companies and finance firms and ship AI systems they can actually run: not pilots that quietly die, but tools that hold up in production and change how the business works. We are 20+ people, with experience from Palantir, BCG, UBS, J.P. Morgan, SAP and Mila. #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

StackOne is the integration infrastructure for AI agents. Backed by GV and Workday Ventures ($24M raised), we make it possible for any AI agent — whether our customers build it into their product or buy it off the shelf — to take real action across the enterprise stack. Our platform gives agents 430+ connectors and 26,000+ pre-built actions, an AI connector builder for everything not covered yet, and the production layer agents actually need: semantic tool discovery that cuts token use by up to 80%, managed authentication and per-action permissions, the most accurate prompt injection defense on the market, and end-to-end observability. Join us on our fast trajectory to build the future of agentic integrations. Own ARR and pipeline targets as an Account Executive at StackOne, driving revenue growth in agentic integrations, one of the fastest-moving areas of B2B AI. You'll own the UK-EU territory — a market where StackOne already has customers, brand, and momentum — and run it with a high degree of autonomy. Full-cycle sales ownership across inbound and outbound, selling to our three ICPs and closing flagship UK-EU accounts. You'll partner async with our US-based CEO and Founding GTM on strategy and deals, while working from our London office alongside our CTO and the product and engineering team. If you want a territory to own rather than a playbook to follow, this is it. • Own UK-EU revenue and pipeline targets tied directly to closed ARR., • Run full-cycle sales across inbound (PLG-driven developer traction) and outbound motions., • Sell to three ICPs: AI-native startups building agents, enterprise teams embedding AI into existing products, and SaaS platforms embedding StackOne for their customers., • Execute and iterate on the UK-EU outbound motion (account targeting, messaging, sequencing, experimentation)., • Run live product demos independently and speak credibly about APIs, MCP, and integration architecture., • Partner with pre-sales engineers on deeper technical validation and enterprise security conversations., • Collaborate closely with Product Marketing to refine messaging for technical buyers., • Help build early UK-EU lighthouse accounts and expansion playbooks., • Track and report on pipeline health, deal velocity, forecasting accuracy, and win rates., • 2–5 years of B2B SaaS closing experience with clear evidence of overperformance and rapid progression., • Strong track record of owning revenue targets, not just supporting deals., • Experience in early-stage or fast-growing startup environments., • Experience selling dev tools, APIs, infrastructure, or other highly technical products., • Comfortable selling to engineers, CTOs, and technical founders, and running demos independently., • Exposure to AI/LLM products, agentic platforms, or meaningful hands-on experience with AI tools., • High ownership mindset, bias for action, and comfort operating with autonomy — your GTM partners are US-based, so you'll run your patch without daily oversight. iPaaS/integrations background, security/compliance exposure (SOC 2, HIPAA), experience selling alongside PLG motions. pure enterprise sales background with no exposure to startup environments. • Join one of Europe's fastest-growing startups., • Work with a veteran team of ex-employees of Google, Microsoft, Oracle, Coinbase, JP Morgan, and more., • Meaningful share options (EMI) — share in the company's success as we grow., • 25 days holiday + 1 additional day per year of tenure., • Private health insurance — including dental & optical., • £15/day lunch budget when working from our London office, up to £180/month., • £1,000 for your home office setup + £500/year top-up., • Health, fitness and gift card discounts., • Cycle2Work and Electric Cars scheme., • Annual team offsites to sunny spots (last ones were in Croatia and Portugal) We believe diversity drives innovation. We encourage individuals from all backgrounds to apply. As an equal-opportunity employer, we celebrate diversity and are committed to creating an inclusive environment for all employees. #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

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