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Recruit4staff are representing a well-established commercial vehicle business in their search for a Vehicle Prepper to work in Radcliffe \n Job Details: \n\n • Pay: Up to £15.50 per hour\n, • Hours of Work: Monday to Friday, 8am – 5pm (some flexibility on start times)\n, • Duration: Permanent\n, • Benefits: Standard pension, 20 days holiday plus bank holidays\n\n Job Role: The Vehicle Prepper will be responsible for preparing commercial vehicles for paint application to a high standard. Duties include inspecting vehicle panels for imperfections, sanding surfaces to fine tolerances, masking vehicles prior to paint and operating grinders and sanding equipment. The Vehicle Prepper will work closely with the paint and bodyshop team to ensure vehicles are fully prepared and ready for the next stage. This role is ideal for an experienced Vehicle Prepper with a strong eye for detail. \n Essential Skills, Experience, or Qualifications: \n\n • Previous experience in vehicle surface preparation\n, • Experience using sanders and grinders\n, • High attention to detail and ability to work independently as a Vehicle Prepper\n\n Advantageous Skills, Experience, or Qualifications \n\n • IMI Level 2 in Vehicle Body & Paint Operations or similar\n, • Previous experience working as a Vehicle Prepper on commercial vehicles\n\n Additional Information \n\n • Permanent position within a stable and growing business\n\n Commutable From: Radcliffe, Middleton, Ramsbottom, Bury, Whitefield \n Similar Job Titles: Paint Technician, Metal Polisher, Prepper / Painter \n For further information about this Vehicle Prepper role and other positions please apply now. This vacancy is being advertised on behalf of Recruit4staff who are operating as a recruitment agency, agent, agencies, employment agency or employment business.

Aveni is redefining how financial institutions use AI. We build production-ready agentic systems that reshape how banks, advisers, and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. Recognized as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025, we are backed by leading investors and supported by major financial institutions as we scale rapidly amid accelerating AI adoption in financial services. Our platform enables some of the UK’s largest financial institutions to deploy AI safely in FCA-regulated environments, powering everything from compliance monitoring to AI-driven adviser guidance. We are seeking a Product Manager – Assurance to play a central role in Aveni’s Assurance portfolio: products that help financial services firms govern, test, and assure AI agents and human interactions across the customer journey. This role is primarily focused on Agent Approve, Aveni’s pre-deployment simulation and testing product, with additional responsibility for Detect, our post-interaction compliance assessment product. Agent Approve is a growth-stage product operating in a dynamic regulatory environment. You will own the product from discovery through commercial readiness, helping define Aveni’s position in an emerging market. This is a hands-on, high-ownership product role. You will collaborate closely with the Head of Assurance Products on strategy and roadmap direction while independently driving discovery, prioritisation, delivery, and go-to-market readiness. You will work with engineering, design, customer success, marketing, and commercial teams to turn complex customer and regulatory problems into clear, valuable, and shippable product outcomes. You are well suited to this role if you enjoy operating in ambiguity, can bring structure to complex problem spaces, and possess the judgement to prioritize effectively, distinguishing what matters, what can wait, and what needs validation before building. Own the Agent Approve and Detect product roadmaps from problem discovery and opportunity sizing through prioritisation, delivery, and launch readiness. Lead continuous discovery with customers, prospects, and internal stakeholders, developing an evidence-based view of market direction and urgent problem areas. Translate ideas and customer problems into low- and high-fidelity prototypes to validate assumptions early, reduce delivery risk, and accelerate decision-making. Collaborate closely with engineering and design to convert strategy into executable delivery plans, maintain a prioritized backlog, and support squads through delivery. Build strong relationships across engineering, commercial, customer success, and marketing, serving as a trusted voice on what we are building, why it matters, and how it supports Aveni's Assurance portfolio. Stay current with industry trends, regulatory developments, and competitor activity in financial services compliance, QA technology, and AI assurance, ensuring product decisions are grounded in market context. Use data and metrics to inform prioritization, define product KPIs, and measure the success of features and capabilities. Proven experience as a Product Manager in a B2B SaaS environment, ideally owning a roadmap from discovery to delivery. Domain expertise in financial services, compliance, risk, or regulatory technology, and experience leading stakeholder discovery and translating insights into product strategy. Strong product judgement, clear communication skills, and confidence in shaping problem spaces, defining direction, defending prioritization decisions, and explaining trade-offs to diverse audiences. Analytical rigor, comfort using data to guide decisions, and ability to build trusted relationships with engineers, designers, and senior commercial stakeholders. Self-directed, proactive individuals comfortable in early-stage or ambiguous product environments where the path is not fully defined. Experience with AI-powered products, analytics, or model-driven tooling; familiarity with FCA regulatory frameworks, Consumer Duty, or conduct risk. Exposure to pre-deployment testing, quality assurance, or compliance workflows. Experience writing compelling product narratives for commercial or go-to-market purposes, especially relevant for the growth-stage nature of Agent Approve. You will work on complex and meaningful challenges at the intersection of AI, regulation, and financial services. You will help shape a product category that is growing in importance as financial institutions move from experimenting with AI to deploying it safely, responsibly, and at scale. You will have real ownership, visibility, and the opportunity to influence both product direction and market positioning during a pivotal stage of Aveni’s growth. Remote-first working across the UK Company-wide offsites and regular in-person gatherings Work abroad policy Optional Personal Development Plan Flexible benefits platform for selecting the benefits that matter most to you Life insurance, income protection, critical illness cover, and pension with up to 5% matched employer contribution Private health and dental care At Aveni, we believe diversity drives innovation. We strive for an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you are passionate about technology and its role in shaping the future of financial services, we encourage you to apply—even if you do not meet every requirement. We would love to hear from you if you believe you could be a great fit.

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. You independently lead the most complex AI deployments Smartsheet undertakes. You own the full engagement lifecycle from technical discovery through production deployment through solutions org handoff. You architect multi-agent solutions, design client-personalized MCP resource packs, and build the Deployment Kits that transform how 200+ solutions consultants and partners operate. You mentor junior FDEs, drive the intelligence loop, and present field findings at weekly Applied AI strategy sessions. You are building a function, not filling a role. What You Will Do • Lead complex, multi-system AI deployments end-to-end scope, architect, build, validate, and manage the customer relationship throughout., • Own the AI workshop program for your pod, customize modules per customer, lead technical sessions, translate outputs into production requirements, evolve content from field learning., • Architect multi-agent solutions selecting the right coordination pattern for each customer’s workflow characteristics and compliance requirements., • Design client-specific and industry-specific MCP resource packs that serve personalized intelligence from the server so every connected AI surface gets smarter for that customer automatically., • Own Deployment Kit quality for your pod. If a kit is not documented well enough for a solutions consultant with no engineering background to follow, it isn’t done., • Lead Solutions Enablement Sprints: transfer AI deployment patterns to solutions consultants and partners with training materials and certification criteria., • Drive the intelligence loop: author strategic memos, present field findings weekly, contribute Agent Bricks and Skills, file RFCs for platform improvements., • Mentor junior FDEs on customer engagements, code reviews, and Deployment Kit quality. Required • 6–10+ years production software engineering, including 3+ years deploying AI/ML to production. Deep Python; strong TypeScript/JavaScript., • Proven track record leading complex enterprise technical engagements. You’ve managed customer relationships, navigated security reviews, and delivered production systems organisations depend on., • Deep production LLM experience: multi-agent orchestration, MCP/tool-use, RAG optimisation, evaluation frameworks, agent deployment at scale., • System architecture expertise spanning enterprise systems, cloud infrastructure, and AI services explainable to a CIO and a junior engineer., • Demonstrated ability to create reusable technical assets that others use in production. You think in platforms, not projects., • Strong written and verbal communication. Architecture documents, runbooks, strategic memos, training materials. Your Deployment Kits are your portfolio., • You leave teams better than you found them. You make sure the people you work with understand what was built, why it works, and how to own it without you., • Ability to travel. This role requires domestic and international travel approximately 25–50% of the time., • Elligible to work in the UK on an ongoing basis, • BS or MS in Computer Science, a related field, or equivalent industry experience Nice to Have: • Experience founding or scaling an FDE/solutions engineering function., • Technical founder background. Databricks, AWS Bedrock, or Temporal experience., • Deep domain knowledge in healthcare, financial services, or government. Agent framework contributions (Strands SDK, LangChain, open-source MCP servers)., • Proficiency in German/French language will be an added advantage, • Familiarity of AI governance, ethics, and regulatory requirements (e.g. GDPR, UK/EU AI Act) Get to Know Us: At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together. Equal Opportunity Employer: Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, India, and Singapore. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know. #LI-Remote

forgd is the consultancy partnering exclusively with Anthropic to help enterprises build AI-native businesses. We start with engineering — helping organizations move from individual developers using Claude Code to entire teams shipping together with AI-native workflows — and expand into agentic solution delivery and broader business transformation. Our conviction is that engineers are uniquely positioned to lead this transformation. The strongest mental model for designing, deploying, and governing AI agents in production lives in software engineering. The teams that change how their organization builds software are the same teams equipped to shepherd the rest of the business into this new world. We embed and co-build with customer teams. Cycles are short, delivery is iterative and accountable to clear outcome goals. As an Applied AI Architect, you embed with enterprise customers and own the technical work across the full customer journey — initial demos, short proof-of-value engagements, and multi-week implementations. The work moves customers from interesting prototypes to production capability. Most engagements start in engineering. You'll work with customer engineering teams adopting Claude Code and redesigning their SDLC — code review, requirements, testing, documentation, and governance. From there, the work expands: co-building agentic applications and modernizing legacy systems on the Claude developer platform, and partnering with business stakeholders to deploy agents into core operations like sales, customer service, and finance. You're the expert in the room on how engineers work with Claude Code, what an agentic application looks like in production, and what has to change in an organization to sustain either. You build prototypes, ship code, run workshops, write specs, and make the calls that move customers from demos to deployment. Collaborate directly with Anthropic on customer engagements — joint working sessions, early access to product changes, and a direct line to their product and engineering teams. Lead Claude Code Labs and customer workshops Take customer teams from beginner to power user across Claude Code, Claude for Work, Cowork, and the developer platform Codify deployment patterns and feed them back to forgd's methodology and Anthropic's product teams Lead discovery into customer environments — engineering toolchains and workflows, business operations, and organizational dynamics — and turn that into clear technical plans Advise on how AI-native development changes existing engineering practices: issue management, branching, testing, code review, and security Guide adoption programs that scale Claude across engineering organizations and into business teams Scope engagements: assumptions, risks, milestones, and dependencies Embed with customer teams to co-build agentic applications on the Claude developer platform Build technical artifacts — evaluation frameworks, MCP servers, sub-agents, and deployment configurations — tailored to the customer's stack What Success Looks Like Customers move from proof-of-value to production Engineering teams measurably change how they ship software Customers become references Accounts expand on the strength of the work You May Be a Good Fit If You Have 3–5 years in a customer-facing technical role — Solutions Architect, Sales Engineer, Forward Deployed Engineer, Technical Consultant — or in a hands-on engineering role as a Software Engineer or Product Engineer Software development experience in a high-scale startup or enterprise environment; you know what it takes to write, ship, and operate production code Production experience with LLMs — prompt engineering, agent design, and evaluation frameworks. Power user of Claude Code or equivalent AI coding assistants; you live in AI-native development yourself Familiarity with enterprise development toolchains, CI/CD, and modern SDLC practices, and cloud-native deployment on AWS, GCP, or Azure Communication skills that work across the room — individual contributors, engineering leadership, and business stakeholders High agency and comfort with ambiguity; you operate autonomously in customer environments Background in professional services or consulting Track record leading developer productivity or developer experience at scale Vertical experience in financial services, healthcare, or other regulated industries Experience driving organizational change Work at the frontier: Direct partnership with Anthropic — joint engagements, early access to product changes, and working sessions with their Applied AI team Founding team: You shape how we work and grow as we scale Remote: Fully remote across North American and European time zones Compensation and benefits: Competitive salary, equity, and full benefits We encourage you to apply even if you don't meet every qualification. Research shows people from underrepresented groups often hesitate unless they meet every requirement, and we don't want you to exclude yourself prematurely. If you're excited about AI-native engineering and want to help enterprises change how they build software, we'd love to hear from you. forgd is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable law. We make hiring decisions on merit, and we provide reasonable accommodations for candidates who need them during the hiring process. Please note that we are unable to provide visa sponsorship for this role. All applicants must have the right to work in the United Kingdom without employer sponsorship, now or in the future.

AI Engineer \n \n Position: AI Engineer \n \n Type: Hourly Contract (Part-Time) \n \n Compensation: $60–$120/hour \n \n Location: Remote \n \n About the Opportunity \n This opportunity is for experienced AI Engineers and Software Engineers with expertise in Python, Java, C++, Rust, TypeScript, algorithms, debugging, codebase refactoring, and performance optimization to contribute to advanced AI research and evaluation projects. \n You'll apply your software engineering expertise to create Reinforcement Learning (RL) environments that test AI models on complex software engineering workflows. Tasks may involve debugging, feature implementation, code refactoring, performance optimization, and working with Model Context Protocol (MCP) tools. \n No prior AI experience is required — your technical expertise is what matters. \n Responsibilities \n\n • Design and develop Reinforcement Learning environments that evaluate AI models on realistic software engineering workflows.\n, • Create tasks involving bug fixing, feature implementation, codebase refactoring, and performance optimization.\n, • Develop reproducible environments with deterministic verification and golden reference solutions.\n, • Design workflows that require AI agents to discover and reason over information using MCP tools and real MCP servers.\n, • Evaluate AI-generated software solutions for correctness, maintainability, performance, and scalability.\n, • Apply strong knowledge of algorithms, data structures, debugging, and systems engineering to create challenging evaluation tasks.\n, • Provide structured technical feedback to improve AI model reasoning and software engineering capabilities.\n, • Collaborate with technical teams to maintain consistent evaluation standards and high-quality deliverables.\n\n Required Qualifications \n\n • Strong proficiency in at least one of C++, Python, Java, Go, TypeScript, or Rust.\n, • Deep understanding of algorithms, data structures, and performance optimization.\n, • Demonstrated experience debugging complex software issues and delivering maintainable solutions.\n, • Strong background in feature development and codebase refactoring.\n, • Proven ability to optimize software for performance and scalability.\n, • Excellent analytical, problem-solving, written, and verbal communication skills.\n, • Strong attention to detail and ability to work independently.\n, • Experience collaborating effectively within cross-functional or remote engineering teams.\n\n Preferred Qualifications \n\n • Experience working with large-scale or distributed codebases.\n, • Familiarity with AI, machine learning, generative AI, or AI agent systems.\n, • Experience with MCP, agentic workflows, or developer tools.\n, • Background in rigorous code reviews, software testing, and engineering best practices.\n, • Experience designing benchmarks, evaluation environments, or technical assessments.\n, • Familiarity with DevOps, CI/CD, cloud infrastructure, or systems engineering.\n\n Compensation \n\n • Competitive compensation of $60–$120/hour.\n, • Hourly contract engagement.\n, • Part-time opportunity of approximately 15 hours per week.\n, • Fully remote with flexible scheduling, including the option to choose your preferred working days and hours.\n, • Output-based compensation may apply, with payment based on completed tasks meeting project specifications.\n\n Application Process \n\n • Apply to the role and complete the required screening questions\n, • Complete an AI interview of approximately 30 minutes\n, • Complete the technical assessment, if required\n, • Hiring Manager review\n, • Complete onboarding and begin the engagement\n\n

About the Company \n \n FindCore are thrilled to be assisting a well-established business with the recruitment of a Remote Customer Service Advisor. \n \n About the Role \n \n This is an excellent opportunity for a friendly and professional individual who enjoys helping customers, resolving queries and delivering a high standard of service from home. \n \n Responsibilities \n \n\n • Respond to customer enquiries by telephone, email and online channels\n, • Provide clear and accurate information about products and services\n, • Resolve customer queries and complaints professionally\n, • Maintain accurate customer records and update internal systems\n, • Process requests, orders and account updates\n, • Liaise with internal teams to resolve customer issues\n, • Follow up with customers when required\n, • Help maintain consistently high customer-service standards\n\n \n Qualifications \n \n\n • Previous customer service experience is desirable\n\n \n Required Skills \n \n\n • Excellent verbal and written communication skills\n, • Confident speaking with customers by telephone\n, • Strong problem-solving and organisational skills\n, • Professional, patient and approachable manner\n, • Good attention to detail\n, • Comfortable using Microsoft Office and customer-management systems\n, • Able to work independently from home\n, • Reliable internet connection and a suitable home-working environment\n\n \n Preferred Skills \n \n\n • This role offers fully remote working, consistent Monday–Friday hours and the opportunity to join a supportive and professional team.\n\n \n Pay range and compensation package \n \n Salary: Negotiable, depending on experience \n \n Equal Opportunity Statement \n \n The closing date for applications is 31/08/2026. Applications will only be reviewed once the closing date has passed. \n

Location: Remote \n Working pattern: Flexible, part-time or full-time \n \n An exciting opportunity is available for motivated individuals who are passionate about travel and interested in developing a flexible career within the tourism industry. \n Travel Agents help clients research, plan and book a wide range of travel experiences, including package holidays, accommodation, cruises, flights, tours and specialist trips. No previous travel industry experience is required, as comprehensive training, professional mentoring and ongoing support are provided. \n \n Key responsibilities: \n\n • Researching destinations, accommodation and travel experiences\n, • Creating personalised travel recommendations and itineraries\n, • Booking holidays through established travel suppliers\n, • Providing a professional and responsive service to clients\n, • Developing and maintaining positive client relationships\n, • Promoting travel services through referrals, personal networks and digital channels\n, • Completing relevant training and keeping up to date with industry developments\n\n \n What is provided: \n\n • Access to professional travel-booking systems\n, • Industry-recognised training and supplier education\n, • Access to established travel brands and tour operators\n, • Ongoing mentoring from a PhD-qualified tourism professional\n, • Supportive agent community and dedicated support groups\n, • Flexible working hours and the ability to work remotely\n, • Opportunities to specialise in areas such as luxury travel, cruises, family holidays, adventure tourism or destination weddings\n, • Personal travel benefits and industry incentives\n\n \n The ideal candidate will be: \n\n • Passionate about travel and helping others\n, • Friendly, professional and confident when communicating\n, • Organised and attentive to detail\n, • Comfortable working independently\n, • Willing to learn and complete ongoing training\n, • Proactive and motivated\n, • Confident using online communication tools\n\n \n Applications are welcomed from both experienced travel professionals and those looking to enter the industry for the first time.

AI Engineer \n \n Position: AI Engineer \n \n Type: Hourly Contract (Part-Time) \n \n Compensation: $60–$120/hour \n \n Location: Remote \n \n About the Opportunity \n This opportunity is for experienced AI Engineers and Software Engineers with expertise in Python, Java, C++, Rust, TypeScript, algorithms, debugging, codebase refactoring, and performance optimization to contribute to advanced AI research and evaluation projects. \n You'll apply your software engineering expertise to create Reinforcement Learning (RL) environments that test AI models on complex software engineering workflows. Tasks may involve debugging, feature implementation, code refactoring, performance optimization, and working with Model Context Protocol (MCP) tools. \n No prior AI experience is required — your technical expertise is what matters. \n Responsibilities \n\n • Design and develop Reinforcement Learning environments that evaluate AI models on realistic software engineering workflows.\n, • Create tasks involving bug fixing, feature implementation, codebase refactoring, and performance optimization.\n, • Develop reproducible environments with deterministic verification and golden reference solutions.\n, • Design workflows that require AI agents to discover and reason over information using MCP tools and real MCP servers.\n, • Evaluate AI-generated software solutions for correctness, maintainability, performance, and scalability.\n, • Apply strong knowledge of algorithms, data structures, debugging, and systems engineering to create challenging evaluation tasks.\n, • Provide structured technical feedback to improve AI model reasoning and software engineering capabilities.\n, • Collaborate with technical teams to maintain consistent evaluation standards and high-quality deliverables.\n\n Required Qualifications \n\n • Strong proficiency in at least one of C++, Python, Java, Go, TypeScript, or Rust.\n, • Deep understanding of algorithms, data structures, and performance optimization.\n, • Demonstrated experience debugging complex software issues and delivering maintainable solutions.\n, • Strong background in feature development and codebase refactoring.\n, • Proven ability to optimize software for performance and scalability.\n, • Excellent analytical, problem-solving, written, and verbal communication skills.\n, • Strong attention to detail and ability to work independently.\n, • Experience collaborating effectively within cross-functional or remote engineering teams.\n\n Preferred Qualifications \n\n • Experience working with large-scale or distributed codebases.\n, • Familiarity with AI, machine learning, generative AI, or AI agent systems.\n, • Experience with MCP, agentic workflows, or developer tools.\n, • Background in rigorous code reviews, software testing, and engineering best practices.\n, • Experience designing benchmarks, evaluation environments, or technical assessments.\n, • Familiarity with DevOps, CI/CD, cloud infrastructure, or systems engineering.\n\n Compensation \n\n • Competitive compensation of $60–$120/hour.\n, • Hourly contract engagement.\n, • Part-time opportunity of approximately 15 hours per week.\n, • Fully remote with flexible scheduling, including the option to choose your preferred working days and hours.\n, • Output-based compensation may apply, with payment based on completed tasks meeting project specifications.\n\n Application Process \n\n • Apply to the role and complete the required screening questions\n, • Complete an AI interview of approximately 30 minutes\n, • Complete the technical assessment, if required\n, • Hiring Manager review\n, • Complete onboarding and begin the engagement\n\n

About us: At Pencil, we are driving innovation in advertising technology through our state-of-the-art SaaS product, which harnesses Generative AI to redefine content creation. Our mission is to make AI the default in advertising without replacing creative people. To achieve this, we need to make sure that our technology isn’t just in the hands of big brands - we need to try to help small businesses and creative individuals too. You’ll take over ownership of our platform that provides enterprise marketing teams and internal users with advanced planning and briefing capabilities. You’ll work closely with Engineering, Design and Creative teams to ship products that are innovative, reliable, and commercially impactful. This is a role for someone who loves experimentation, understands the realities of modern AI, and thrives in an environment where the future is constantly being rewritten. Key responsibilities: Drive product strategy and delivery for your area. Conduct product discovery through user research, data analysis, prototyping, and experiments to validate what really solves customer problems. Translate ambiguous opportunities into clear product plans, using structured thinking to bring focus, priorities, and alignment across teams. Create crisp PRDs, collaborate deeply with Design, and push projects from ideation to shipped with real tenacity. Define and evolve key systems such as workflows, agent behaviours, platform frameworks, APIs and creative tools, which combine human creativity with intelligent automation. Partner cross-functionally with Engineering, Design, Creative, and Go To Market teams to take features from concept to launch and iteration. Stay close to AI developments, understanding model capabilities, release cycles, and integration considerations so we build with the best available tools. Balance innovation with operational pragmatism, making trade-offs that keep us fast today and scalable tomorrow. Your background: Proven experience as a Senior Product Manager working on AI-enabled products, ideally experienced with creative, marketing or advertising technology, or complex platforms. Experience driving products from 0 → 1 and 1 → n, ideally in environments with high ambiguity and rapid iteration. Strong understanding of AI model behaviour, limitations, and opportunities, and how to design products that harness emerging capabilities responsibly. Experience structuring complex problem spaces, simplifying decisions, and creating clarity for teams. Strong product discovery skills: leading discovery workshops, forming hypotheses, running experiments, gathering insight from users and data. Experience working closely with cross-functional partners, including Engineering, Design and Commercial. Familiarity with creative ecosystems is a plus but not required. You’ll Thrive Here If you are… Curious and adaptable: thrive on learning what’s new and applying it quickly. A structured thinker: bring order to fast-moving, loosely defined spaces. Resilient and optimistic: see constraints as creative challenges. Commercially minded: connect product vision that solves customer problems with business outcomes. Collaborative and communicative: build strong, trusting relationships across teams. KPIs & Success Measures Delivery, adoption and engagement of new product capabilities that drive clients’ expected outcomes. Positive feedback from external and internal users on product quality, usefulness, and ease of integration. Improvements in efficiency, speed, stability,and output quality for workflows and tools you own. Contribution to frameworks, systems, or product foundations that empower other teams to build effectively. Clear documentation, roadmaps, and decision-making that help teams move quickly and in sync. Demonstrable impact on customer results, creative quality, or campaign performance through the product capabilities you deliver. Benefits: 25 days PTO plus public holidays, although we operate a Flexible Time Off scheme Health insurance / private medical cover Monthly stipend towards wellness, fitness, and learning and development Remote - work from anywhere in your home country Enhanced parental leave policies, whether you become a parent through birth, adoption or surrogacy Access to our Pencil office in The Shard, London for UK employees Flexible working hours Deep Dive About Pencil Pencil uses AI to make ads. Our mission is to make marketing effective and effortless. We want to become the default way ads get made - because AI ads are 10x faster and cheaper to make, and 2x better performing, than making them without AI. We’re called Pencil because we believe AI will be a tool for creative people, not a replacement - it may even be as fundamental a tool in the future as the pencil was in the past. Pencil was founded in 2018 with a team from Google, Facebook and Uber with backing from Sequoia and Entrepreneur First. We were acquired by The Brandtech Group in 2023 to pursue a shared vision of bringing GenAI to the Fortune 500. _ About The Brandtech Group The Brandtech Group’s mission is to be the best company in the world at helping leading global brands drive growth by connecting content, data and media using technology. It was founded in June 2015 (as You & Mr Jones) by former Havas Global CEO David Jones, with a simple mission to help brands do their marketing better, faster and cheaper using technology. It was renamed The Brandtech Group in January 2022. Today it generates more than $1BN in revenue and is the largest global digital content partner for many of the world's biggest brands and companies, often using its unique in-housing model. It works with eight of the world's top 10 global advertisers and 49 of the world's top 100. Clients include Banco Itaú, Danone, Google, Intuit, LVMH, Microsoft, Morgan-Stanley, Netflix, Reckitt, Renault-Nissan, PayPal, TikTok, Uber and Unilever. In addition, the Group invests in cutting-edge technology companies relevant to and with potential in marketing and has been investing in the AI, AR and the metaverse space since 2015. The Group was the first external investor in Niantic (creators of Pokémon Go), alongside investments in AI Foundation (AI digital twins, personalized AI, and deep-fake detection 2018), Automat (AI chatbots, 2016), Elsy (AI media planning, 2016), Jivox (dynamic automated content,, 2016), Crossing Minds (deep learning AI recommendation system, 2017), CreativeX (AI-driven content optimization, 2022), Zappar (AR, 2017), Provenance (blockchain, 2022) and GGP (the world's largest gaming fund). The Group is one of the most prominent marketing industry voices on the prediction and movement to AI-driven marketing, including Generative AI. It was named one of the World's Most Innovative Companies 2021 by Fast Company, and by CB Insights as one of the World's Most Valuable Private Unicorns. _

ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. We're hiring our first Sales Enablement - Expansion to build the foundation of how ElevenLabs enables its global Customer Success and AE teams to drive adoption, expansion, and retention. This is a 0-to-1 builder role. You will define the strategy, build the infrastructure, and execute hands-on as we scale. What sets this role apart: we're looking for someone with a technical foundation and deep understanding of the post-sale motion. You've been in the room for complex customer implementations, usage reviews, and renewal negotiations. You understand what it takes for a CSM to drive product adoption and for an AE to identify and close expansion opportunities — because you've been that person. This role sits within Sales Enablement and reports to the Sales Enablement Lead, International. You will work in close partnership with: Customer Success leads, North America and International (owning customer outcomes, adoption, and retention) Sales leadership (owning expansion pipeline and commercial strategy) Product and Product Marketing (owning roadmap, messaging, and use case development) You will support a global team of CSMs and AEs across North America, EMEA, LATAM, and APAC. While CS and expansion enablement is your primary focus, you'll also support Sales Enablement across SDR and new business motions as needs arise. This is a full-stack enablement role on a lean team — you'll build content, deliver training, design e-learning, and flex across audiences as the business requires. Design and own ElevenLabs' global CS and expansion enablement strategy across onboarding, skill-building, and ongoing mastery Define what "Expansion Ready" and "Retention Ready" mean at ElevenLabs and build the paths to get CSMs and AEs there Establish scalable frameworks that support both the CSM motion (adoption, health, renewal) and the AE expansion motion (cross-sell, upsell) Create structured onboarding journeys for new CSMs covering product mastery, customer lifecycle management, health scoring, and renewal execution Design and deliver adoption playbooks that help CSMs drive usage, engagement, and value realization across customer segments Build churn prevention frameworks including early warning indicators, save plays, and escalation paths Enable CSMs to conduct effective business reviews, usage analyses, and value documentation Develop technical fluency programs so CSMs can confidently discuss APIs, agent configurations, integrations, and implementation best practices Create cross-sell and upsell playbooks for AEs covering expansion discovery, multi-product positioning, and deal execution Design enablement for identifying expansion signals — usage patterns, new use cases, stakeholder mapping, and whitespace analysis Enable AEs to articulate the full ElevenLabs platform story (Creative, Agents, and API) to drive multi-product adoption Develop competitive positioning for expansion conversations Partner with Customer Success leads to identify adoption gaps and build targeted enablement interventions Create customer-facing resources (guides, videos, best practices) that CSMs can use to drive self-serve adoption Build "Time to Value" programs that help customers realize ROI faster Develop renewal execution playbooks covering timeline management, stakeholder alignment, and negotiation frameworks Build and maintain enablement materials including playbooks, training decks, videos, workshops, and LMS content Collaborate with Product Marketing, Sales, and Product to translate product releases into CS and expansion-ready materials Develop role-play scenarios, call libraries, and coaching frameworks for managers Use ElevenLabs' voice and agent technology to create localized, voice-enabled training content Build AI-powered coaching tools and practice environments for CSMs and AEs Facilitate live virtual trainings, workshops, and certifications across regions and time zones Design async learning paths that scale globally Run regular enablement office hours and deal/account clinics Define and track enablement KPIs such as time to first value, net revenue retention, gross retention, expansion pipeline, CSM ramp time, and adoption metrics Partner with Customer Success and Sales leadership to connect enablement efforts to business outcomes Use data and feedback to continuously iterate on programs Document best practices, establish operating rhythms, and influence how CS and expansion enablement evolves as the customer base and sales org scale Measurable improvement in net revenue retention attributable to enablement initiatives Measurable reduction in churn rate CSM ramp time reduced to under 60 days to full productivity Expansion pipeline directly supported by enablement programs CS and expansion playbook library launched covering adoption, cross-sell, upsell, and renewal "Time to Value" framework adopted across the CS org Adoption enablement resources driving measurable increase in product usage metrics 4–7+ years of experience in customer success, sales enablement, solutions consulting, or GTM enablement in a SaaS or platform company At least 2 years in a customer-facing role (CSM, AM, Solutions, or similar) with direct experience driving adoption, retention, and/or expansion Technical fluency — you can navigate API documentation, understand integration architectures, and credibly discuss technical implementations Proven experience building enablement programs from scratch in fast-moving environments Full-stack enablement skills: live facilitation, content creation, e-learning development, and presentation design Strong understanding of B2B SaaS customer lifecycle, health scoring, and retention metrics Deep familiarity with expansion motions — cross-sell, upsell, and multi-product positioning Experience designing both live and self-serve training, including certification programs Confident facilitator and presenter for global audiences Strong stakeholder management skills across Customer Success, Sales, Product, and Marketing teams Analytical mindset with experience defining and tracking enablement effectiveness Comfortable operating across global time zones and cultures Fluency in English; additional languages are a plus Additional: Experience at a high-growth AI/ML, developer tools, or API-first company Background in voice AI, conversational AI, or contact center technology Experience with customer health scoring platforms (Gainsight, ChurnZero, Totango, etc.) Familiarity with usage-based pricing models and consumption-driven expansion Experience enabling both CSM and AE roles within the same organization Remote-first, globally distributed role. We have a strong preference for candidates based in Europe or the UK, to enable close collaboration with the Sales Enablement Lead, International, Customer Success leads, and London HQ. Exceptional candidates outside Europe will be considered if they can operate effectively across European and US time zones. The playbooks and programs you build will define how ElevenLabs retains and expands its customer base — directly impacting net revenue retention, customer outcomes, and the long-term health of our business. If you're excited to build from zero, operate at high velocity, and shape a foundational function, we'd love to hear from you.

Description At Spotted Zebra, we're building something we genuinely believe in: an AI-native end-to-end hiring platform that helps the world's leading organisations find the right people, faster and fairer than ever before. In short, we're making hiring something everyone loves again - both talent teams and candidates alike. We're a multi-award-winning Series A company giving talent leaders the solution they've always needed. Skills science native. AI-amplified. Built by people who've lived and breathed TA and knew there had to be a better way. Spotted Zebra brings Interview Intelligence, Skills Assessments, and AI Interview Agent together in one powerful platform, designed for intelligence and action. One powerful agent and assistant: Spot. Working the way talent teams need it to, always with humans in control. The result is talent teams get the insight to predict who will succeed, the speed to move before competitors, the governance to defend every hiring decision, and the capacity to focus on the human moments that matter most. But our product is only part of the story. Spotted Zebra isn’t just building an AI-native product; we’re building an AI-native company. AI is changing how we build, sell, support customers and make decisions. We use it to move faster, stay closer to customers, reduce unnecessary processes, and give talented people more leverage in their roles. That means joining Spotted Zebra isn’t just a chance to work on the future of hiring. It’s a chance to help shape what the future of work looks like inside a scaling company: compact, ambitious teams using AI to collaborate better, make decisions quickly, and deliver meaningful impact at speed. The FTSE100 and Fortune500 companies trusting us include British Airways, NIQ, Domino's, Lidl, Merlin Entertainments, AWE, United Utilities, and Paramount. We've been named Personnel Today's Talent Acquisition Supplier of the Year 2025, secured gold across multiple industry awards, and were recently named on the UK Top 100 Startups List. But what we’re most proud of is the team. People join Spotted Zebra because the mission is real, the product is genuinely exciting, and the opportunity to shape the future of hiring is huge. What makes it special is the way we work: smart, committed people in compact teams where trust is high, decisions happen quickly, and everyone has the chance to make a visible impact. If that sounds like the kind of place you want to do your best work - read on. Fun fact: A group of zebras is called a dazzle – and ours truly is dazzling! We create a culture in which our team thrives and gallops ahead. As we roam free and empower our dazzle, we gallop ahead on the journey to achieving our goals. We understand this journey will pose challenges along the way, yet we brighten the trail with our positive mindset and encouragement of others. The dazzle continuously moves, gaining knowledge and skills so that we can graze new grounds. Spotted Zebra helps large enterprise customers adopt AI-enabled hiring in a way that is practical, responsible and defensible. As AI becomes more central to hiring, our customers need more than a great product. They need to understand how it works, how it is governed, how risk is managed, and how to secure internal approval to use the capabilities in our product from stakeholders across AI governance, legal, privacy, procurement, HR and the business. We are looking for an AI Governance & Legal Counsel to lead this work, reporting directly to our Co-founder & CCO. This is a blended, customer-facing role. Your predominant focus will be helping our enterprise customers navigate AI and data governance from pre-sales through implementation, with particular responsibility for helping them secure the internal approvals required to deploy Spotted Zebra successfully. Internally, you will help Spotted Zebra build and maintain the documentation, processes, regulatory understanding and product-governance requirements needed to support responsible enterprise AI adoption at scale. Alongside these core responsibilities, you will act as Spotted Zebra’s primary in-house legal counsel. You will review, draft and advise on agreements with customers and suppliers, help the business take pragmatic and commercially sound positions on contractual risk, and support other general legal matters as they arise. This is not a traditional back-office legal role. You will sit within the implementation team, reporting to our Co-founder & CCO, and spend the substantial majority of your time ensuring that AI and data governance does not become a blocker to successful customer deployment. You will work closely with the Implementation Manager, Occupational Psychology Solutions Consultant and Integration Solutions Consultant, as well as our Commercial, Product and Engineering teams. Our ambition is to reduce AI-governance sign-off from the three to four months it can often take today to closer to one to two months. This role will be central to making that possible. For someone excited by the growth of AI governance, this role offers an exceptional development opportunity. You will work at the intersection of AI, regulation, product, occupational psychology and enterprise implementation in one of AI’s most consequential and highly scrutinised applications: hiring and employment. Our ambition is to support you in becoming one of the world’s leading practitioners in applying AI responsibly and practically within high-risk HR contexts. You will own the AI and data governance workstream across customer implementations. Working alongside the Implementation Manager, OP Solutions Consultant and Integration Solutions Consultant, you will identify what each customer needs to achieve internal approval, coordinate the right Spotted Zebra inputs, and make sure the governance process moves forward with clarity and pace. You will support both pre-sales and post-sales. In pre-sales, you will help commercial teams answer customer questions around AI governance, human oversight, automated decision-making, fairness, explainability, bias, data protection and privacy and regulatory readiness. During implementation, you will take a more active role in helping the customer secure internal sign-off and prepare for deployment. A major part of the role will be creating, maintaining and tailoring customer-facing governance documentation. This may include AI governance packs, DPIA support materials, risk assessments, model and product documentation, human oversight explanations, bias-audit evidence, candidate notice wording, FAQs, due-diligence responses and materials that help our buyer present Spotted Zebra confidently to their internal stakeholders. You will also own important internal governance activity. You will help track relevant legislation and regulatory expectations across the regions in which we operate, maintain our jurisdiction-by-obligation matrix, support day-to-day data and privacy protection and automated decision-making governance, keep key documentation up to date, and communicate legal or governance changes that may affect the product, implementation process or customer commitments. You will coordinate external and internal assurance work, including independent bias audits, and maintain core AI governance artefacts, such as: DPIAs, risk assessments, provider documentation, technical files, model cards, risk registers and evidence required for AI management system maturity, including ISO/IEC 42001 readiness. You will also help translate governance requirements into product and process improvements. That could include requirements around consent capture, candidate notices, human review, retention, contestability, audit trails, reporting or customer configuration. You will not be expected to be the technical sign-off owner, but you will need to understand the governance requirement clearly enough to help Product and Engineering act on it. Over time, you will help turn this into a repeatable customer assurance function: building templates, playbooks, standard responses, implementation checklists and governance workflows that make each future customer approval faster and easier than the last. Alongside your primary AI-governance responsibilities, you will act as Spotted Zebra’s primary in-house legal counsel. You will review and, in some limited cases, negotiate customer and supplier agreements, advise the business on contractual risk and other day-to-day legal matters, and engage specialist external counsel where required. Your approach will be pragmatic and commercially minded, helping to protect the business without creating unnecessary barriers to growth. Success means customer governance questions are answered clearly, implementation delays are reduced, buyers feel supported in internal conversations, and Spotted Zebra has a stronger, more repeatable approach to AI governance across pre-sales, implementation and product development. It also means customer and supplier contracts are reviewed efficiently and pragmatically, with clear advice that protects the business without creating unnecessary barriers to growth. Within your first 6-12 months, we would expect you to have improved the quality and consistency of our customer-facing governance materials, helped multiple enterprise customers secure AI and data-governance approval, contributed to reducing approval timelines, created a more scalable internal process for future customer approvals, and established an effective approach to customer and supplier contract review. Requirements • Are a qualified lawyer in the UK or another relevant jurisdiction., • Enjoy working directly with enterprise customers and senior stakeholders., • Can explain legal, regulatory and governance topics clearly and practically., • Are comfortable dealing with AI governance committees, legal teams, privacy teams, procurement, business leaders and product/engineering teams., • Have experience reviewing and negotiating commercial technology or SaaS agreements., • Like writing clear, high-quality documentation., • Enjoy helping customers move through complex internal decision-making., • Can balance governance rigour with commercial pragmatism., • Enjoy creating repeatable processes, templates and playbooks., • Are interested in responsible AI, especially in high-stakes hiring and talent workflows., • Want to help build an important new function inside a fast-growing AI-native company., • Have experience working in a start-up or scaling technology company. Experience in one or more of the following would be valuable: • Supporting enterprise customers through AI-governance, legal, compliance or procurement approval., • Legal, compliance, privacy or data protection., • Enterprise SaaS due diligence or customer assurance., • HR technology, hiring, assessment or occupational psychology., • Regulated software implementation., • Customer-facing consulting or solutions roles., • Drafting policies, DPIAs, risk assessments, governance packs or customer-facing documentation., • Managing specialist external counsel. Benefits Meaningful share options Health insurance Enhanced pension Nursery salary sacrifice scheme ️ 25 days holiday (excluding bank holidays) Remote-first Work from home budget L&D budget Dental cover Eye-care support Co-working space budget Wellbeing allowance ✈️ Travel insurance Electric car scheme Beyond our core benefits, you'll get access to the latest AI-powered tools and technologies, giving you everything you need to do your best work. At Spotted Zebra, we welcome people of all stripes. We are committed to providing equal opportunities and an inclusive and diverse culture. We believe that each and every one of us possesses an extraordinary set of skills and abilities, waiting to be discovered, nurtured, and harnessed for the benefit of all. We are a team. And no matter your race, gender, sexual orientation, religion, civil or family status, age, or disability, we will empower you to unleash your superpower to help us create a world where everyone is able to utilise their unique blend of skills and abilities to contribute to the greater good. Everyone is unique and we encourage you to let us know in your application, or share with your recruiter directly, if there is anything we can do to make your interview experience with us more comfortable and positive. At Spotted Zebra, everyone is welcome. So even if you don't meet all the requirements, we would still love to hear from you. We are always keen to speak with people who are passionate about our mission. Ready to gallop ahead with us? We're a team that moves fast, thinks big, and isn't afraid to challenge how things have always been done. If you're excited about using AI and skills science to transform how the world hires, apply now and a member of our dazzle will be in touch!

AI Engineer Position: AI Engineer Type: Hourly Contract (Part-Time) Compensation: $60–$120/hour Location: Remote About the Opportunity This opportunity is for experienced AI Engineers and Software Engineers with expertise in Python, Java, C++, Rust, TypeScript, algorithms, debugging, codebase refactoring, and performance optimization to contribute to advanced AI research and evaluation projects. You'll apply your software engineering expertise to create Reinforcement Learning (RL) environments that test AI models on complex software engineering workflows. Tasks may involve debugging, feature implementation, code refactoring, performance optimization, and working with Model Context Protocol (MCP) tools. No prior AI experience is required — your technical expertise is what matters. Responsibilities • Design and develop Reinforcement Learning environments that evaluate AI models on realistic software engineering workflows., • Create tasks involving bug fixing, feature implementation, codebase refactoring, and performance optimization., • Develop reproducible environments with deterministic verification and golden reference solutions., • Design workflows that require AI agents to discover and reason over information using MCP tools and real MCP servers., • Evaluate AI-generated software solutions for correctness, maintainability, performance, and scalability., • Apply strong knowledge of algorithms, data structures, debugging, and systems engineering to create challenging evaluation tasks., • Provide structured technical feedback to improve AI model reasoning and software engineering capabilities., • Collaborate with technical teams to maintain consistent evaluation standards and high-quality deliverables. Required Qualifications • Strong proficiency in at least one of C++, Python, Java, Go, TypeScript, or Rust., • Deep understanding of algorithms, data structures, and performance optimization., • Demonstrated experience debugging complex software issues and delivering maintainable solutions., • Strong background in feature development and codebase refactoring., • Proven ability to optimize software for performance and scalability., • Excellent analytical, problem-solving, written, and verbal communication skills., • Strong attention to detail and ability to work independently., • Experience collaborating effectively within cross-functional or remote engineering teams. Preferred Qualifications • Experience working with large-scale or distributed codebases., • Familiarity with AI, machine learning, generative AI, or AI agent systems., • Experience with MCP, agentic workflows, or developer tools., • Background in rigorous code reviews, software testing, and engineering best practices., • Experience designing benchmarks, evaluation environments, or technical assessments., • Familiarity with DevOps, CI/CD, cloud infrastructure, or systems engineering. Compensation • Competitive compensation of $60–$120/hour., • Hourly contract engagement., • Part-time opportunity of approximately 15 hours per week., • Fully remote with flexible scheduling, including the option to choose your preferred working days and hours., • Output-based compensation may apply, with payment based on completed tasks meeting project specifications. Application Process • Apply to the role and complete the required screening questions, • Complete an AI interview of approximately 30 minutes, • Complete the technical assessment, if required, • Hiring Manager review, • Complete onboarding and begin the engagement

AI Engineer Position: AI Engineer Type: Hourly Contract (Part-Time) Compensation: $60–$120/hour Location: Remote About the Opportunity This opportunity is for experienced AI Engineers and Software Engineers with expertise in Python, Java, C++, Rust, TypeScript, algorithms, debugging, codebase refactoring, and performance optimization to contribute to advanced AI research and evaluation projects. You'll apply your software engineering expertise to create Reinforcement Learning (RL) environments that test AI models on complex software engineering workflows. Tasks may involve debugging, feature implementation, code refactoring, performance optimization, and working with Model Context Protocol (MCP) tools. No prior AI experience is required — your technical expertise is what matters. Responsibilities • Design and develop Reinforcement Learning environments that evaluate AI models on realistic software engineering workflows., • Create tasks involving bug fixing, feature implementation, codebase refactoring, and performance optimization., • Develop reproducible environments with deterministic verification and golden reference solutions., • Design workflows that require AI agents to discover and reason over information using MCP tools and real MCP servers., • Evaluate AI-generated software solutions for correctness, maintainability, performance, and scalability., • Apply strong knowledge of algorithms, data structures, debugging, and systems engineering to create challenging evaluation tasks., • Provide structured technical feedback to improve AI model reasoning and software engineering capabilities., • Collaborate with technical teams to maintain consistent evaluation standards and high-quality deliverables. Required Qualifications • Strong proficiency in at least one of C++, Python, Java, Go, TypeScript, or Rust., • Deep understanding of algorithms, data structures, and performance optimization., • Demonstrated experience debugging complex software issues and delivering maintainable solutions., • Strong background in feature development and codebase refactoring., • Proven ability to optimize software for performance and scalability., • Excellent analytical, problem-solving, written, and verbal communication skills., • Strong attention to detail and ability to work independently., • Experience collaborating effectively within cross-functional or remote engineering teams. Preferred Qualifications • Experience working with large-scale or distributed codebases., • Familiarity with AI, machine learning, generative AI, or AI agent systems., • Experience with MCP, agentic workflows, or developer tools., • Background in rigorous code reviews, software testing, and engineering best practices., • Experience designing benchmarks, evaluation environments, or technical assessments., • Familiarity with DevOps, CI/CD, cloud infrastructure, or systems engineering. Compensation • Competitive compensation of $60–$120/hour., • Hourly contract engagement., • Part-time opportunity of approximately 15 hours per week., • Fully remote with flexible scheduling, including the option to choose your preferred working days and hours., • Output-based compensation may apply, with payment based on completed tasks meeting project specifications. Application Process • Apply to the role and complete the required screening questions, • Complete an AI interview of approximately 30 minutes, • Complete the technical assessment, if required, • Hiring Manager review, • Complete onboarding and begin the engagement

ApexFocusGroup collaborates with research firms, universities, and trusted brands to gather genuine consumer insights. We help connect everyday people with flexible remote market research opportunities that influence real products, services, and customer experiences.Role Overview:We are welcoming participants from all backgrounds, including anyone looking for customer service representative or customer service agent roles, to take part in upcoming market research studies. These may involve online discussions, product testing, or feedback sessions - typically conducted remotely online.This is a casual, project-based opportunity ideal for anyone interested in taking part in research on a part time basis, depending on their availability and profile fit. Some studies are available for immediate start.Requirements:Access to a smartphone, tablet, or computer with a functional cameraReliable internet connectionAbility to read instructions carefully and provide honest, detailed feedbackAn active email address to receive study invitations and participation detailsBenefits:Take part only in studies that match your interests and scheduleResearch types include online or in-person focus groups, virtual interviews, product testing, and other feedback activitiesNo previous customer service representative experience needed. Just a willingness to share your opinionsSome studies may include early access to new products or services before launchMany studies offer compensation, which varies by study type and durationCompensation:Up to £700 per week (amount varies based on the selected focus group or research assignment)If you'd like to contribute to research that influences real-world products and decisions, or simply looking for flexible remote roles with an immediate start, we invite you to submit your interest online today.Important Notice – No Fees Required: Participation is always free. We never request or accept any fees for registration or study involvement. Please stay cautious and only respond to communications sent directly from us.

SavvyMoney is a US based leading financial technology company. We provide integrated credit score and personal finance solutions to 1,600 + bank and credit union partners throughout the United States. The SavvyMoney solutions integrate with more than 43 digital banking platforms. SavvyMoney was recently recognized by the San Francisco Business Times and the Silicon Valley Journal as one of the "Top 25 Places to Work in the San Francisco Bay Area" and is an Inc. 5000 Fastest Growing Company. Our company is growing and we are looking for Independent Senior Data Engineer Contractors to help support the growth. **This Independent Contractor will work 100% Remotely from your home office in Warsaw, Poland as part of a distributed team in the USA, Canada, Europe and several locations in India. We are growing our team and looking for a Lead ML/AI Platform Engineer. As a Lead ML/AI Platform Engineer at SavvyMoney, you will own the platform that takes machine learning from experiment to production — training infrastructure, model serving, inference pipelines, and the integration seams with our Java microservices. You will set technical direction for AI/ML across the company alongside our Data Platform Architect, and drive the engineering side of our GenAI/LLM and agent strategy — from retrieval architectures and evaluation harnesses to the guardrails required to run agentic workflows responsibly in a regulated environment. Partner with our Data Platform Architect to set technical direction for AI/ML across the company — architecture, tooling, standards, and build-vs-buy decisions. Own the ML/AI platform: training infrastructure, model serving, inference pipelines, and production integration. Feature engineering, model training, model registry, and hosted inference in Amazon SageMaker GenAI/LLM usage, fine-tuning, and agentic workflows in Amazon Bedrock and AgentCore Feedback and data pipelines built on AWS Glue, Lambda, and Step Functions Own the serving layer and integrate ML services cleanly with our Java microservices — define the API contracts and make the latency and throughput trade-offs. Drive the engineering side of our GenAI/LLM strategy: retrieval architectures, evaluation harnesses, serving patterns, and the judgment calls about which approach fits which problem. Bring depth on the emerging agent stack — MCP, agent workflow patterns, stateless and stateful designs, and the guardrails needed to run them responsibly in a regulated environment. Partner with our Data Scientist on the handoff from experimentation to production: productionize models, stand up the feature pipelines and serving infrastructure they need, and shorten the loop between training and deployment. Work with product, data, and engineering leadership to identify the highest-impact ML opportunities and translate them into roadmaps. Represent the AI/ML function in cross-functional forums, communicating trade-offs clearly to technical and non-technical audiences alike. Required 8+ years in software or ML engineering, including 5+ years shipping production ML systems and a track record of owning ambiguous, high-scope problems end to end. Demonstrated technical leadership: you've shaped the ML strategy of a team or organization, mentored senior engineers, and been the person others rely on for difficult architectural calls. Hands-on experience with both operating models we use: AWS managed ML stack: Amazon SageMaker (training, tuning, hosted endpoints, model registry), Amazon Bedrock, and AgentCore for GenAI and agentic workflows. Open-source ML tooling: JupyterLab for notebooks, Spark for distributed processing, MLflow for experiment tracking and model registry. Deep working knowledge of the AWS stack — S3, Athena, Redshift, Glue, Step Functions, Lambda — plus SQL skills strong enough to model data for both analytical and ML workloads. Production experience with GenAI/LLMs: RAG, prompt engineering, evaluation, and a clear grasp of the cost, latency, and safety trade-offs involved. Familiarity with vector databases (e.g., pgvector, Pinecone) and sound judgment on when they're warranted versus alternatives such as NoSQL retrieval. Working knowledge of Java sufficient to review service code, define API contracts, and debug integration issues with our microservices. Deep expertise in Python and the core ML stack: scikit-learn, pandas, NumPy, PyTorch and/or TensorFlow, XGBoost / LightGBM. Solid MLOps fundamentals — model monitoring, drift detection, reproducibility, experiment tracking, model registry, and cost observability — plus the ability to partner with DevOps on CI/CD rather than build it from scratch. Excellent written and verbal communication — you can write both the design doc that aligns a dozen engineers and the one-pager that aligns the exec team. Strong collaborator, comfortable operating in a role where scope is shared: you'll partner with a Data Scientist on models and DevOps on infrastructure, and you can navigate those seams while keeping clear ownership. Ability to operate as an independent contractor through your own entity or an approved contracting arrangement, with reliable overlap with US Pacific business hours for architecture reviews and cross-team work. Nice to Have Experience with ClickHouse or a comparable columnar / real-time analytical database. Fine-tuning experience (LoRA / QLoRA, instruction tuning, or RLHF). Streaming and real-time inference experience (Kafka, Kinesis, low-latency serving). Infrastructure-as-code (Terraform, AWS CDK, CloudFormation). Experience operating ML systems at meaningful scale — hundreds of millions of predictions per day, or equivalent. Open-source contributions, conference talks, papers, or patents in ML / applied ML. Data Scientist — leads feature engineering, model training, fine-tuning, and experimentation. You'll partner on the research-to-production handoff, stand up the infrastructure they need, and jointly own the quality of what ships. DevOps — owns CI/CD, deployment infrastructure, and platform observability. You'll partner on ML-specific extensions (model artifacts, reproducible environments, canary and shadow deployments) rather than rebuilding what already exists. Backend engineers — own the Java microservices that consume ML outputs. You'll define the contracts and own the serving side. Product and engineering leadership — you're the technical voice on what we should build with AI/ML, and how. Distributed processing: AWS Glue Orchestration: AWS Lambda, AWS Step Functions Managed ML: Amazon SageMaker, Amazon Bedrock, AgentCore Open-source ML: JupyterLab, Spark, MLflow Storage & query: Amazon S3 (data lake), Amazon Athena, Amazon Redshift, ClickHouse Languages: Python (ML, pipelines), Java (microservices) Why This Role Matters Credit data is the core of what we do, and the opportunity to make it smarter — better offer targeting, better personalization, better insight for 1,600+ financial institutions and the consumers they serve — runs directly through the ML platform. Today that platform is early. You will be the person who defines what it becomes. Your decisions on architecture, tooling, and evaluation will set the ceiling on what every ML-driven feature at SavvyMoney can do for years. Join us at SavvyMoney and help build the AI foundation of a platform trusted by 1,600+ banks and credit unions. Additionally we provide Equity Compensation Package Flexible Time Off (FTO) - take time off as needed to rest and recharge. Medical, Dental, Vision – 100% premium paid for employee Disability/Life Insurance Opportunity for learning and career growth with a top Bay Area technology company Reimbursement for remote work setup Monthly stipend for phone and internet Team building events, culture activities, all hands events Paid time off to volunteer and serve the community Half day Fridays 401k matching contribution Beautiful California East Bay offices in Dublin, CA SavvyMoney’s EEO Statement SavvyMoney relies on diversity of culture and thought to deliver on our goal of Creative People, Practical solutions serving our client needs, and ensures nondiscrimination in all programs and activities. We continuously seek talented, qualified employees in our operations regardless of race, color, sex/gender, including gender identity and expression, sexual orientation, pregnancy, national origin, religion, disability, age, marital status, citizen status, protected veteran status, or any other protected classification under country or local law. SavvyMoney is proud to be an Equal Employment Opportunity/ Affirmative Action Employer. We are committed to protecting your data. To learn more, please review the_

hackajob is partnering directly with BNY Mellon to hire for this role. We're seeking a future team member for the role of Senior Vice President, Full-Stack Engineer to join our Engineering team. This role is located in Manchester. In this role, you'll make an impact in the following ways: Drive the evolution of the Enterprise Workflow Engine into a next-generation, multi-agent orchestration platform enabling scalable, intelligent automation across the organisation through BPMN, DMN, and AI-driven execution frameworks. Lead the design and delivery of Workflow Studio and designer capabilities, providing intuitive, AI-assisted tooling for engineers and business users to model, configure, and deploy workflows, decisions, forms, and reusable orchestration components. Architect and deliver advanced platform capabilities, including multi-tenancy, modular and composable components, and abstraction of the underlying workflow engine (e.g., Camunda) to enable extensibility, portability, and enterprise-scale orchestration. Drive delivery excellence across workflow and decisioning platforms, embedding observability, resilience, auditability, and performance at scale, while establishing engineering standards across CI/CD, testing, security, and data architecture. To be successful in this role, we're seeking the following: Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline (or equivalent practical experience). Deep hands-on expertise in modern engineering stacks, including Java (v17/21), Spring Boot, and building scalable, secure, API-first services combined with the ability to set engineering direction and standards across the platform. Strong experience in workflow and decision engineering, covering BPMN 2.0 orchestration, DMN modelling, and enterprise workflow engines (e.g., Camunda), with the ability to define the strategic evolution toward multi-agent and event-driven orchestration architectures. Full-stack engineering capability with architectural ownership, including front-end (Angular or equivalent), middleware/event streaming (Kafka, JMS, RabbitMQ), and relational data platforms (Oracle/MySQL), enabling end-to-end platform design and optimisation. Proven track record of delivering production-grade platforms, embedding engineering excellence across test automation, CI/CD, observability, resilience, and traceability while driving continuous improvement of SDLC practices at scale. Hands-on technical leader who can actively contribute to solution design and critical builds, while defining strategy, mentoring senior engineers, and scaling high-performing teams aligned to enterprise platform outcomes At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world's investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance - and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. JBRP1_UKTJ

Description Location: Europe (100% Remote) Contract Type: Advisory / Project-Based About Us Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth. Job Summary We are seeking an Agentforce AI Maestro to join our elite European advisory roster under Xenon7's flexible Maestro Model. This strategic, fractional role combines enterprise Salesforce architecture with advanced LLM engineering to lead high-level technical discovery, design agentic workflows, and oversee production deployments for enterprise clients across Europe. Rather than a standard full-time commitment, this role provides high-leverage advisory engagements and project-based execution, with the potential to evolve into a full-time principal position as engagements scale. This is a hands-on technical lead role, not a Salesforce admin position. A. Agentforce Architecture & System Design • Solution Architecture: Translate complex enterprise business processes into end-to-end agentic workflows (Intent $\rightarrow$ Agent $\rightarrow$ Context $\rightarrow$ Reasoning $\rightarrow$ Actions $\rightarrow$ Systems $\rightarrow$ Outcome)., • Core Agent Engineering: Design, configure, and build enterprise agents using Agent Builder, Agentforce Studio, Agent Script / DX, subagent routing, and instructions., • Deterministic Logic Integration: Build robust back-end support using Salesforce Flow, Apex, SOQL, APIs, Named Credentials, and OAuth. B. Agentic AI & LLM Engineering • Orchestration & Tooling: Implement tool/function calling, structured outputs, multi-step agent workflows, and prompt/context engineering., • Architectural Trade-offs: Evaluate and determine when to leverage LLM reasoning versus deterministic Apex/Flow logic to minimize latency and token costs while preventing hallucinations. C. Enterprise Data & System Integration • Grounding & RAG: Ground agent reasoning in structured/unstructured enterprise data utilizing Salesforce Data Cloud / Data 360, semantic search, and Knowledge libraries., • System Interoperability: Architect REST API callouts, event-driven integrations, and MuleSoft platform pipelines, incorporating Model Context Protocol (MCP) standards. D. Testing, Security & Strategic Advisory • Testing & Quality Assurance: Drive automated testing and multi-turn conversation tracing using the Agentforce Testing Center., • Security & Guardrails: Design least-privilege agent permissions, FLS/sharing rules, prompt injection protections, and human-in-the-loop escalation paths., • Client & Team Leadership: Lead technical discovery with European enterprise stakeholders and guide cross-functional engineering teams. Requirements • Experience: 5+ years of hands-on Salesforce engineering and architecture experience., • Agentforce Track Record: At least 2 meaningful production or advanced pre-production Agentforce implementations., • Location: Based in Europe with strong alignment with European enterprise hours., • Core Tech Stack: Deep proficiency in Salesforce Agentforce (Studio/DX), Apex, Flow, Data Cloud, REST APIs, Git, and CI/CD pipelines., • AI Competency: Clear understanding of LLM architectures, context window management, function calling, and evaluation frameworks. Preferred Certifications & Qualifications • Salesforce Certified Agentforce Specialist or Salesforce Architect Certifications., • Hands-on experience with MuleSoft, Python, TypeScript, LangGraph/LangChain, or MCP., • Exposure to major AI platforms (OpenAI, Anthropic, Gemini, Azure AI, or AWS Bedrock)

As a Reinstatement Agent you will be responsible for supervising reinstatement teams across our contract. Previous experience with tarmac, Modular & Rigid surfaces work would be an advantage. We are looking for individual who take pride in their work to get it right first time to the highest standard of quality. Your team’s tasks will be undertaken on public highways, building sites and private residential land, and must be undertaken in a safe and responsible manner. You will be working to meet the needs of the client in the most cost-effective manner. You will provide technical expertise, experience and work within a team to deliver a first-class service to our customers. You will be able to engineer solutions on site and focus your teams on completing work right first time. You will work with the scheduling team ensuring programmes are managed and delivered accordingly. You will provide support to ensure that the company’s work is effectively completed through communication with internal and external customers, as well as the management of the business and client database systems. This role could be an excellent development opportunity for someone looking to take the next step in their career. We’re happy to provide training and support for the right person who has the right attitude and transferable experience. We are looking for someone to: • Have operational responsibility for the reinstatement teams and their in-day activities, • Organise labour in the most cost-effective way, including recruitment, disciplinary action, wages and absence management, • Coach and develop staff to reach their potential; ensuring a fair and consistent culture with the teams, • Help manage the frame and cover programme and ensure KPIs are met, • Help manage the defect programme and ensure that KPIs are met and Highway Meetings are attended, • Have knowledge and experience of Reinstatement for Utilities, • Maintain a customer focus, • Use Modular+ (smartphone system) & Client Computer system to deliver all feedback for commercial and reinstatement feedback, • Liaise with the Support Services and Street works Team to ensure that FPN and Section74 liabilities are managed and focus on a right first-time attitude Understanding and complying with regulations including NRSWA, • Complete Team Inspections, to ensure a high level of Compliance with a real focus on quality and first-time reinstatement, • Be a Health & Safety Representative, which will include undertaking health & safety inspections in and around the workplace, raising health & safety related matters with management and investigating reportable accidents or incidents as and when they occur, • A good understanding and experience of the Utilities industry, • Previous experience working on Civils related projects, • NRASWA qualification, • Full and clean driving license, • Good awareness of health and safety, • Computer literate and familiar with basic software packages We offer a competitive salary based on experience along with a full benefits package. Network Plus is proud to be an Equal Opportunity Employer. We celebrate diversity and do not discriminate based on race, religion, colour, nationality, sex, sexual orientation, age, veteran status, disability status, or any other applicable characteristics protected by law. We are Armed Forces-friendly. We welcome applications from ex-Armed Forces personnel, reservists, armed forces veterans, cadet instructors and military spouses/partners. We understand that privacy and the security of your personal information is extremely important. By applying for this role, you agree to the terms of our privacy policy. Network Plus is an award-winning business delivering essential utility and infrastructure services for the UK’s major providers of gas, power, telecoms, transport, water, and wastewater. We value the variety of experience, perspective, and other points of difference our workforce, clients, and supply chain offer. We are actively working with colleagues across the Network Plus Group to develop an inclusive environment – we want all our employees to feel valued and included to enable everyone to thrive at work and understand the value of their contribution matters no matter their background, identity, or circumstances.

As Site Manager, you will be responsible for managing the resources associated with our Water Rehabilitation contract, delivering improvements to the clean water network across designated operational areas on behalf of our client, United Utilities. Water Rehabilitation activities are undertaken to resolve issues affecting the clean water network, including low water pressure, loss of supply, leakage, and water quality concerns. As a Water Agent, you will provide operational leadership across these activities, ensuring that works are effectively planned, coordinated, and delivered safely, on time, within budget, and in accordance with client requirements. You will promote the highest standards of health, safety, and environmental compliance while maintaining a strong focus on customer service, recognising its critical importance to our client and the communities we serve. You will supervise operatives, monitor their performance and ensure their productivity is in line with contract service level agreements. • To ensure that all contractors have the appropriate equipment, materials, training and competencies to perform allocated work., • To demonstrate good time management and flexibility to allow the execution of your roles and responsibilities., • To perform fluidity tasks prestart checks to ensure work can be executed on time and without issue., • To liaise with customers, clients, local authorities and third party regarding past, present or future works., • Order the required fittings, pipes and materials for the works., • To provide sufficient and timely supervision, assessment and coaching to ensure teams are performing to agreed production levels and expected safety/water hygiene standards., • To perform quality checks in line with contract specific requirements, to include but not limited to reviewing pre-construction information, designs, carrying out the required inspections/on-site checks., • To regularly undertake all necessary and appropriate Toolbox Talks, Briefings and other communications in the expected time frame., • To ensure weekly checks are completed., • To maintain own levels of skill and knowledge to do the job effectively., • To comply with the relevant Company policies and procedures, including HSEQ and welfare provisions., • Ensure all agreed client and internal KPI’s are met or exceeded., • To ensure gang productivity targets are met, • To ensure all Operatives trained and competent to carry out the works., • To ensure project updates from site are accurate and in real-time, including any required EW/CE., • Ensure all Sites have an up-to-date H&S folder, including, a CPP, Utility Plans, F10 and DRA and signed Handover form., • Oversee daily operations, ensuring that work is performed according to the scope of works and that any issues are promptly addressed to avoid cost of failure., • Proactively identify potential risks related to safety, environmental impact, and project delays., • Develop and implement strategies to mitigate identified risks, ensuring continuity and safety in operations., • Conduct Accident / Incident Investigations within the required time scales, supported by HSEQ Department., • Prepare and execute contingency plans in case of emergencies, such as water main breaks, leaks, or other unforeseen incidents., • Coordinate quick and effective responses to minimise service disruptions and environmental damage., • Attending contractual meetings for example, touch point meetings and planning meetings. Key Skills • Must be able to communicate professionally and effectively, particularly to external parties such as the client, customers, local authorities and third party., • Must have the skills and confidence to supervise and coordinate site requirements and tasks., • Understanding of contract commercial mechanism., • Must have skills, experience and natural ability to coach, manage and lead people Qualifications, • Streetworks – For Supervisors, • SSSTS or equivalent, • Deep Excavation, • Temporary Works Supervisor, • CDM Awareness, • Asbestos Awareness, • National Water Hygiene Card (Blue Card), • UK driving Licence We offer a competitive salary based on experience along with a full benefits package. Network Plus is proud to be an Equal Opportunity Employer. We celebrate diversity and do not discriminate based on race, religion, colour, nationality, sex, sexual orientation, age, veteran status, disability status, or any other applicable characteristics protected by law. We are Armed Forces-friendly. We welcome applications from ex-Armed Forces personnel, reservists, armed forces veterans, cadet instructors and military spouses/partners. We understand that privacy and the security of your personal information is extremely important. By applying for this role, you agree to the terms of our privacy policy. Network Plus is an award-winning business delivering essential utility and infrastructure services for the UK’s major providers of gas, power, telecoms, transport, water, and wastewater. We value the variety of experience, perspective, and other points of difference our workforce, clients, and supply chain offer. We are actively working with colleagues across the Network Plus Group to develop an inclusive environment – we want all our employees to feel valued and included to enable everyone to thrive at work and understand the value of their contribution matters no matter their background, identity, or circumstances.

As a digging agent/supervisor you will be responsible for supervising digging teams working as part of the United Utilities contract. Working to meet the needs of the client in the most cost-effective manner, whilst working with your team and making a profit for Network Plus. You will provide technical expertise, experience, and work within a team to deliver a first-class service to our customers. As a supervisor will be competent on working in Water Networks. You will be able to engineer solutions on site and focus your teams on completing work right first time. You will work with the scheduling team ensuring programmes are managed and delivered accordingly. You will provide support to ensure that the company’s work is effectively completed through communication with internal and external customers, as well as the management of the business and client database systems. This role could be an excellent development opportunity for someone looking to take the next step in their career. We’re happy to provide training and support for the right person who has the right attitude and transferable experience. • You will have operational responsibility for the digging teams and their in-day activities, • You will organise labour in the most cost-effective way, including recruitment, disciplinary action, wages, and absence management, • You will manage all other resources e.g., materials and plant, • You will carry out team briefings with teams monthly, • You will coach and develop staff to reach their potential; ensuring a fair and consistent culture with the teams, • You will help manage the frame and cover programme and ensure KPIs are met, • You will help manage the defect programme and ensure that KPIs are met, and Highway Meetings are attended, • You will use GARD (smartphone system) to check quality of the work and drive out the wrong behaviours, • You will liaise with the Support Services and Street works Team to ensure that FPN and Section74 liabilities are managed, • You will complete Team Inspections, to ensure a high level of Compliance with a real focus on quality and first-time reinstatement, • You will be a Health & Safety Representative, which will include undertaking health & safety inspections in and around the workplace, raising health & safety related matters with management and investigating reportable accidents or incidents as and when they occur, • Relevant qualifications in relation to the work being carried out i.e., NRWSA at supervisory level, • Good Health and safety knowledge IOSH beneficial (not essential), • Firm understanding of “right first time”, • Excellent communication skills, • Full UK driving licence, • Shea Water, • EUSR Blue Card, • Avoidance of underground utilities We offer a competitive salary based on experience along with a full benefits package. Network Plus is proud to be an Equal Opportunity Employer. We celebrate diversity and do not discriminate based on race, religion, colour, nationality, sex, sexual orientation, age, veteran status, disability status, or any other applicable characteristics protected by law. We are Armed Forces-friendly. We welcome applications from ex-Armed Forces personnel, reservists, armed forces veterans, cadet instructors and military spouses/partners. We understand that privacy and the security of your personal information is extremely important. By applying for this role, you agree to the terms of our privacy policy. Network Plus is an award-winning business delivering essential utility and infrastructure services for the UK’s major providers of gas, power, telecoms, transport, water, and wastewater. We value the variety of experience, perspective, and other points of difference our workforce, clients, and supply chain offer. We are actively working with colleagues across the Network Plus Group to develop an inclusive environment – we want all our employees to feel valued and included to enable everyone to thrive at work and understand the value of their contribution matters no matter their background, identity, or circumstances.

Company description At STRABAG around 89,000 people working on progress at more than 2,400 locations worldwide. Uniqueness and individual strengths characterise both our projects and each of us as individuals. Whether its building construction, civil engineering, road construction, underground engineering, bridge building, tunnelling, construction material production, project development or building management we are always one step ahead so that we can become the most innovative and sustainable construction technology company in Europe. Diversity, inclusion and equal opportunities are integral to this, who we are as a company and how we work. Together we work as partners to complete projects successfully and grow with new challenges. Together we achieve great things. Lets progress! Job description • Responsible for the shaft sinking works on site, taking a significant role in delivery as well as managing aspects of time, cost and quality., • Planning and delivering of site set up for segmental lining and SCL shaft sinking works., • Planning and carrying out of SCL trials., • Day to day work site coordination and planning to ensure the works are carried out safely and efficiently., • Ensuring Permit to Dig, Temporary Works and other safe systems are implemented., • Liaison with the Section Foreman and Pit Boss to ensure the adherence to safe methods of work., • Reporting to Sub Agent / Site Agent., • Managing and upskilling of shift engineers., • Attending daily SRG meetings and ensure the RESS is always followed., • Ensuring all temporary works needs are identified sufficiently early and completed in accordance with the relevant procedures., • Work with the construction and quality teams to complete Inspection and Test Plans (ITPs) for the control of the works ensuring that all necessary documentation and check sheets are produced in a timely manner., • Procurement of Plant, Materials and Equipment required for each site., • Keep a full and accurate daily site diary, including any changes / variations, subcontractors attendance., • Management of non-conformance reporting through to., • Provide support, assistance, and information to other teams as necessary such as Community Relations, Highways, and Logistics., • Ensuring health and safety is given the highest priority in the delivery of the works., • Be familiar with, and demonstrate commitment to the requirements of the Health & Safety and Environmental Policies., • Ensure that the Health Safety and Environmental Policies and Procedures are effectively communicated to the workforce and implemented., • Work collaboratively with the UU team and other contractors, subcontractors works packages to achieve the overall project goals., • Managing the supply chain to ensure that they deliver in an efficient way and in accordance with the Safety, Environmental and Quality requirements., • Understands the scope of the works and can identify change. Required profile • Skills card - CSCS Card (relevant type)., • Degree / HND in Civil Engineering., • SSSTS/SMSTS (relevant type)., • Knowledge of Project Procedures., • IT literacy Word, Excel, PowerPoint etc., • Good Communication skills., • Ability to set priorities and exercise flexibility where necessary., • Ability to read and understand drawings, schematics, and construction documents., • Understanding of safety procedures and recognition of hazards. What we offer • diverse career opportunities, • competitive compensation JBRP1_UKTJ

Flexible working hours and the ability to work remotely. Working pattern: Flexible, part-time or full-time. Promoting travel services through referrals, personal networks and digital channels.

Senior Quantity Surveyor / Employer's Agent needed for a consultancy in South Manchester, overseeing residential projects.

Recruit4staff are representing an established commercial vehicle repair business in their search for a Panel Beater to work in Radcliffe Job Details: Pay: Up to £18.00 per hour (overtime available at 1.5x) Hours of Work: Monday to Friday, 8:30am - 5:00pm Duration: Permanent Benefits: 28 days' holiday, standard pension and uniform Job Role: As a Panel Beater, you will be responsible for repairing and restoring commercial vehicles to a high standard. The role involves stripping and rebuilding vehicle bodywork, reshaping damaged panels, removing dents, and carrying out filler work. The Panel Beater will also be expected to complete job sheets and quality documentation accurately as part of the repair process. Essential Skills, Experience, or Qualifications: Previous experience working as a Panel Beater Experience repairing and restoring commercial vehicle bodywork Confident carrying out dent removal, panel reshaping and filler work Advantageous Skills, Experience, or Qualifications IMI qualification, City & Guilds qualification or Level 3 Vehicle Damage Panel Technician apprenticeship Previous experience in a similar Panel Beater or Vehicle Panel Technician position would be advantageous Additional Information Permanent position working Monday to Friday Uniform provided The successful Panel Beater will be joining an established commercial vehicle repair business Commutable From: Bolton, Bury, Radcliffe, Prestwich, North Manchester Similar Job Titles: Vehicle Panel Technician, Commercial Vehicle Panel Technician, Bodyshop Technician, Panel Beater For further information about this Panel Beater position and other positions, please apply now. This vacancy is being advertised on behalf of Recruit4staff who are operating as a recruitment agency, agent, agencies, employment agency or employment business

Recruit4staff are representing a well-established commercial vehicle repair business in their search for a Bodyshop Repair Technician to work in Radcliffe. Job Details: Pay: Up to £17.50 per hour Hours of Work: Monday to Friday, 8 am – 5 pm Duration: Permanent Benefits: Flexible start times by prior arrangement, standard pension scheme, 20 days holiday plus bank holidays Job Role: As a Bodyshop repair Technician, you will be responsible for carrying out a full range of vehicle body repairs on damaged domestic and commercial vehicles. The Bodyshop Repair Technician will strip and refit vehicle parts, carry out cutting, welding and bonding of panels, and complete metalworking tasks to restore panels to their original shape. The role also involves chassis straightening and ensuring all repair work is completed to a high standard. Essential Skills, Experience, or Qualifications: Proven experience as a Bodyshop Repair Technician or in a similar vehicle body repair role Welding experience Metal finishing experience Previous experience working on domestic or commercial vehicles Advantageous Skills, Experience, or Qualifications: IMI Level 2 or Level 3 in Vehicle Body Repair Additional Information: Flexible start times can be arranged by prior agreement Commutable From: Radcliffe, Bury, Whitefield, Middleton, Ramsbottom Similar Job Titles: Panel Beater, Body Technician, Commercial Vehicle Repairer, Accident Repairer This is an excellent opportunity for a Vehicle Body Repairer seeking a permanent position with a stable business. If you are an experienced Vehicle Body Repairer seeking long-term employment, apply now. For further information about this and other positions, please apply now. This vacancy is being advertised on behalf of Recruit4staff who are operating as a recruitment agency, agent, agencies, employment agency or employment business

Site Agent (Commercial Fitouts) Position: Site Agent Sector: Commercial Fitouts – Bars, Restaurants, Leisure Facilities, and More Salary: £50,000 - £55,000 per annum (dependent on experience) Benefits: Company vehicle/car allowance, performance bonus, health insurance, and professional development opportunities We are hiring a Site Agent to join one of our best clients, a dynamic and highly respected name in the commercial fitout industry. This is your opportunity to work on exciting projects, transforming bars, restaurants, leisure facilities, and other commercial spaces into stunning environments that leave a lasting impression. What You’ll Be Doing: Overseeing and managing all site operations to ensure projects are delivered on time and to the highest standard. Coordinating with subcontractors, suppliers, and key stakeholders. Ensuring health and safety standards are maintained throughout the project lifecycle. Managing budgets, schedules, and quality control measures. Acting as the main point of contact on-site, solving problems proactively. What We’re Looking For: Proven experience as a Site Agent or similar role in the commercial fitout sector. Expertise in managing fitouts for bars, restaurants, leisure facilities, or similar commercial outlets. Strong leadership, organizational, and communication skills. Commitment to quality and safety standards. Ability to thrive in a fast-paced, client-focused environment. If you’re passionate about commercial fitouts and ready to take on exciting challenges, we want to hear from you! Apply now

Agentis Health Group in Greater London seeks a Head of Clinical Operations to lead the in-situ outsourced clinical services team within the Ashtons portfolio.

Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Our entire platform is driven by an advanced AI Agent who we call Fin, who ble

You build the eval systems and experiments that tell us whether a change makes the agent better or worse, and you turn agent telemetry into the fixes that raise success rates and cut errors. Build the tooling and agents that produce these evaluations continuously as the agent evolves. Turn agent tra

Fin is transforming customer service through AI-powered solutions and is seeking a Cloud Security Engineer to secure our AWS environments and production systems.You will design secure cloud architectures, implement protective and detective controls, and drive incident response coordination with engi

Acrotrend - A NowVertical Company in London seeks a Senior AI Engineer to architect and lead multi‑agent AI systems, focusing on RAG pipelines and agent orchestration for production environments.

AtkinsRéalis seeks an Associate Director with strong Employer's Agent and cost management capability to lead complex commissions across residential, mixed-use and public sectors in the UK.

You’ll turn agent traces and telemetry into concrete fixes, collaborating closely with the agent engineering team. Lovable is seeking a data scientist to own how we measure and improve our AI agent. You’ll define metrics for success, completion, and error rates, and build eval systems and experi

You will build serverless integrations (Lambda, API Gateway, Step Functions), enable Agent-to-Agent collaboration, and validate deployments before going live, working with cross-functional teams and executive stakeholders. You will lead technical discovery, assess data readiness, and design agentic

This full‑time role involves building agent‑based AI systems, developing LLM‑enabled applications, and implementing retrieval‑augmented generation pipelines with secure APIs.

Represent the service function in feedback to the Executive Team and operational and strategic meetings, within the Agentis governance framework.

Your teams have clear direction, produce consistently high-quality work and develop stronger Employer's'Agent and cost management capability. We are looking for an experienced Associate Director with strong Employer's'Agent and cost management capability. You will predominantly be a Quantity Surveyo

Fin is seeking an experienced product engineer to build backend and frontend systems, scaling our platform to serve tens of millions daily.You will collaborate with designers, product managers, researchers and data analysts to deliver impactful features end-to-end.You will ship production changes fr

You will work in our Cyber R&D team, and use your knowledge of systems (Kernel, OS) level development to develop our Agent architecture. The Agent is our endpoint client software and is responsible for the extraction and management of our customer's data. Implementing new capabilities within the For

The role involves guidance, mentoring, and handling bespoke deals to sign up for Facility Agent obligations while mitigating risks and ensuring compliant execution. The role requires senior SME capabilities, strong negotiation skills, and the ability to coordinate with front office, legal, and agent

A leading research and technology firm is seeking a Research Scientist Manager to lead a global team in advancing AI systems and machine learning research.The ideal candidate will have a PhD, significant experience in ML/NLP, and a strong publication record in top-tier conferences.Responsibilities i

You will partner with the CTO to identify high-value AI use cases, shape the platform and architecture, and take agents from prototype to production, setting standards for safe usage as scale grows.

Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Fin is the AI Customer Agent company on a mission to help businesses provide p

Build internal agent-safety systems: Design and implement services that improve the reliability, security, and determinism of LLMs and autonomous agents, keeping them within expected operational boundaries. We're hiring a Senior Software Engineer to join our newly formed Agent Safety / Evals team. A

Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey - from service, to sales, to ecommerce. Fin is the AI Customer Agent company on a mission to help businesses provide per

Minimum of 5 years' capital raising or institutional sales experience, ideally with a placement agent or similar advisory firm.

Fin, our AI Agent is the best performing, most widely adopted, and highest grossing AI service agent on the market. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey –

Nicoll Curtin is seeking a Senior AI Engineer to design and implement autonomous AI agents that enhance workflow automation.