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Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Manufacturing Systems Support & Data Lead This is a home-based role with regular travel across our manufacturing sites, including extended periods supporting key projects where required. Join our snack-loving team We're looking for a Manufacturing Systems Support & Data Lead to join us at KP Snacks. If you're ready to bring your ideas to the table, grow your skills and be part of a team that values what makes you, you – this could be your next big move. Who are we? We're KP Snacks, part of the Intersnack family. Across more than 30 countries, over 15,000 of us work together to make the snacks people love – from Hula Hoops to McCoy's. In the UK, we're a team of around 2,400 colleagues, based across seven sites and our Slough HQ. We're proud of our close-knit culture, where we speak up, celebrate differences and push boundaries together. About the role This is an exciting opportunity to play a key role in KP Snacks' digital manufacturing journey. As our Systems Support & Data Lead, you'll be responsible for supporting, developing and improving the manufacturing systems and data platforms that help our sites operate effectively. Working across Engineering, Operations, Operational Technology (OT) and Information Technology (IT), you'll act as the link between technology and operational performance. You'll lead the governance and continuous improvement of systems including Manufacturing Execution Systems (MES), Energy Monitoring Systems, Litmus Edge and reporting platforms, ensuring data is trusted, accessible and used to drive better decision making. While the role includes supporting manufacturing systems across our sites, a significant focus will be on digital transformation projects, data analytics, machine optimisation and emerging technologies, including AI and machine learning. You'll also play an important role in supporting major business initiatives and helping shape the future of manufacturing technology across KP Snacks. What's in it for you? We believe in rewarding our colleagues and helping them thrive. Here's a flavour of what we offer: Competitive annual salary, annual salary review and annual bonus opportunity (target 5%) Business needs car allowance KP Pension Plan with up to 7% matched contributions 25 days holiday, with the option to buy up to five additional days, plus additional holiday after five years' service Comprehensive healthcare including Single Cover Private Healthcare, Health Cash Plan, Digital GP and Employee Assistance Programme Electric Vehicle Car Scheme, supporting more sustainable and cost-effective travel KP4ME benefits platform with discounts, cashback and wellbeing support Enhanced family-friendly policies to support colleagues at every stage of life What will you be doing? Leading manufacturing systems support and governance Providing technical ownership of key manufacturing systems, ensuring they remain reliable, secure, standardised and aligned to business needs Driving data-led performance improvement Developing dashboards, reporting solutions and performance metrics that improve operational visibility, support decision making and unlock opportunities for continuous improvement Supporting digital transformation projects Leading and supporting projects focused on manufacturing systems, digitisation, machine optimisation and emerging technologies, helping KP Snacks maximise the value of its technology investments Building strong partnerships across the business Working closely with Engineering, Operations, OT, IT and external partners to deliver improvements, resolve complex issues and ensure manufacturing requirements are represented in key projects Developing capability and future ways of working Coaching site-based systems contacts, driving standardisation across sites and supporting the adoption of AI, machine learning and advanced analytics solutions We'd love to hear from you if you can bring: Manufacturing systems experience Experience supporting Manufacturing Execution Systems (MES) or similar manufacturing technologies within an FMCG, manufacturing or industrial environment Strong data and analytics capability The ability to analyse operational data, create meaningful insights and use reporting tools such as Power BI to support business performance Experience delivering technology improvements A track record of identifying and implementing system enhancements, automation solutions or digital initiatives that deliver measurable business value Excellent stakeholder management skills The ability to build relationships and influence colleagues across Engineering, Operations, OT, IT and external suppliers A passion for innovation and continuous improvement An interest in emerging technologies including AI, machine learning and Industry 4.0, combined with a desire to improve the way manufacturing systems support business performance Flexibility to travel across our sites A willingness to spend time at different KP Snacks locations to support projects, system implementations and continuous improvement initiatives Our purpose At KP Snacks, we're passionate about creating happy snacking moments through our great tasting snacks and iconic brands. Every day, millions of people enjoy our products, including Hula Hoops, McCoy's, KP Nuts, Tyrrells, Skips, POM-BEAR and Butterkist, making us one of the UK's leading snack manufacturers. For decades, we've been delighting consumers by combining well-loved favourites with exciting innovations that reflect changing tastes and expectations. We're equally passionate about our people and committed to creating a workplace where everyone can grow, develop and make a real impact. As part of the Intersnack Group, one of the world's leading snack manufacturers, we combine global expertise with a shared commitment to creating happy snacking moments every day. We're committed to inclusion We're building a workplace where everyone belongs. If you don't tick every box, we'd still love to hear from you – your unique perspective could be just what we need. And if there's anything we can do to make the process easier for you, just let us know. JBRP1_UKTJ

At Artificial, we’re building the next generation of technology for the specialty (re)insurance market. Our mission is to transform how brokers and carriers operate in complex markets by removing operational barriers and enabling smarter, faster decision-making. We use modern technology to solve real challenges for some of the world’s leading brokers and insurers. By automating the repetitive and structuring the complex, we help our partners unlock new opportunities for innovation and growth. You’ll be joining a collaborative team that values curiosity, ownership, and continuous learning. We work in an environment where ideas are heard, support is built‑in, and outcomes matter. Everyone here has the chance to make a tangible impact on our products, our customers, and the industry. We've just raised $45M (£33M) in Series B funding from lead investor CommerzVentures, new investor Move Capital, as well as all existing shareholders. This investment round gives us the room to grow with confidence, continue to innovate, and ensure that Artificial remains the first choice for brokers and carriers seeking a smarter way to trade digitally. Join us, and take the chance to be a part of something that will change the landscape of insurance for generations. • Take ownership of Artificial's existing opportunity pipeline and drive deals through to close with pace and precision, • Lead complex, multi-stakeholder enterprise sales processes — managing senior relationships, navigating internal sign-off structures, and bringing commercial negotiations to a successful conclusion, • Ensure nothing stalls: actively manage deal timelines, identify blockers early, and mobilise internal resource to keep momentum, • Build and deepen relationships with C-suite and senior decision-makers at our broker and carrier customers, • Act as a trusted commercial adviser to prospects, articulating the value of Artificial's platform with credibility and precision, • Work closely with the Client Success, Product, and Delivery teams to ensure a seamless transition from sale to onboarding, • Develop and embed robust sales processes, forecasting discipline, and CRM hygiene across the team, • Recruit and develop a small but high-performing sales function as the business scales, • Provide market intelligence and commercial insight to inform pricing, packaging, and go-to-market decisions, • Represent Artificial at industry events and with target prospects as a credible voice in the London and global specialty insurance market, • A minimum of 10 years in senior commercial roles, with a demonstrable track record of closing significant deals in one or more of the following: a London market participant, or a technology or data business serving the commercial or specialty insurance industry, • Candidates from senior executive backgrounds of relevant businesses are strongly encouraged to apply — we are looking for a superstar, • Experience working with warm pipelines in high-trust, relationship-led markets; candidates who have thrived in environments where reputation and credibility matter as much as technique will stand out, • A natural closer — someone who reads a room, builds trust quickly, and knows how to bring complex, risk-averse organisations to a decision, • Exceptional communicator: able to engage credibly at board level and translate technical propositions into clear commercial narratives, • Highly numerate, with the confidence to model and negotiate commercial terms, understand client financials, and price creatively where needed, • A strong bias for action — someone who sets priorities, cuts through ambiguity, and measures themselves by outcomes rather than activity, • Resilient and energised by the challenge of a scaling business, where pace matters and process is still being built, • Private medical insurance, • Income protection insurance, • Life insurance of 4 * base salary, • On-site gym and shower facilities, • Enhanced maternity and paternity pay, • Team social events and company parties, • Salary exchange on pension and nursery fees, • Access to Maji, the financial wellbeing platform, • Company stock options managed through Ledgy, • Milestone Birthday Bonus and a Life Events leave policy, • Generous holiday allowance of 28 days plus national holidays, • Home office and equipment allowance, and a company MacBook, • Learning allowance and leave to attend conferences or take exams, • YuLife employee benefits, including EAP and bereavement helplines, • For each new hire, we plant a tree through our partnership with Ecologi Action, • The best coffee machine in London, handmade in Italy and imported just for us! We’re proud to be an equal opportunities employer and are committed to building a team that reflects the diverse communities around us. If there’s anything you need to make the hiring process more accessible, just let us know—we’re happy to make adjustments. You’re also welcome to share your preferred pronouns with us at any point. Think you don’t meet every requirement? Please apply anyway. We value potential as much as experience, and we know that raw talent counts. As part of our hiring process, we’ll carry out some background checks. These may include a criminal record check, reviewing your credit history, speaking with previous employers and confirming your academic qualifications. #J-18808-Ljbffr

Just Eat Takeaway.com is seeking a Senior Machine Learning Engineer to join the Growth & Customer Experience Engineering team. The role focuses on growing algorithmic recommendations and evolving ML capabilities across the platform. You will lead architecture, write scalable code, and mentor engineers, working with many teams to ensure reliable, production-ready ML systems and a strong path to production. #J-18808-Ljbffr

At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world's most complex challenges and build legacies for future generations. AECOM is seeking a Digital Optimisation Lead to drive digital delivery and advisory across our England & Wales operations. This role sits at the intersection of hands-on digital implementation and strategic client-facing consultancy, working across our the Water Business line. The Digital Optimisation Lead will champion the adoption of digital methods, data-driven decision making, and emerging technologies, including AI and data science to deliver measurable outcomes for clients and internal project teams alike. Reporting to the Water Digital Lead for EURI, this role partners closely with Client Account Managers and regional delivery teams, to build a pipeline of digital opportunities, shape strategy, and lead delivery across frameworks and programmes. The ideal candidate blends deep technical understanding with the ability to engage, influence and inspire both technical and non-technical stakeholders at all levels. • Lead digital delivery across multiple projects and frameworks in England & Wales, acting as the digital lead and ensuring teams are equipped with the right tools, methods and capabilities to deliver, • Develop and implement digital optimisation strategies in collaboration with the core digital team, translating strategy into owned, deliverable workplans, • Advise clients on digital transformation approaches, including data governance frameworks, operating models, platform adoption and roadmap development, • Engage with Client Account Managers across England & Wales to identify digital opportunities, support client relationships, and define delivery requirements that align with client needs and AECOM's digital offering, • Champion the understanding and adoption of AI, machine learning and data science techniques across project teams and client engagements, identifying where these can drive efficiency, insight or innovation, • Identify automation and digital innovation opportunities within project delivery, working with teams to develop Minimum Viable Products (MVPs) with scaling potential, • Manage and support regional delivery teams in adopting the latest digital solutions, identifying upskilling needs and ensuring resources are appropriately allocated to projects, • Lead and contribute to bid responses including RfPs, ITTs and tenders, supporting bid strategy, content development and proposal management for digital-led opportunities, • Facilitate client workshops, stakeholder sessions and internal presentations — including regional townhalls — to align on strategy, share progress and demonstrate digital value Become part of our dynamic Water business, which boasts around 600 experts across the UK & Ireland. Collaborate with top-tier civil, mechanical, electrical, and process engineers to deliver a variety of captivating projects, from small initiatives to large-scale ventures, all the way from concept to completion. Here, you’ll thrive in an inclusive and forward-thinking environment where your contributions are valued. At AECOM you'll enjoy a range of core and personalised benefits designed to support your future and well-being, customised to fit your lifestyle. Take advantage of career development opportunities, our flexible hybrid working model to ensure a work-life balance that suits your lifestyle, technical practice networks, AECOM University, and volunteering days. We recognise that everyone's circumstances are different, so we're more than happy to discuss part-time or flexible working arrangements. • Degree in Civil Engineering, Mechanical Engineering, Computer Science, Data Science, or a related discipline, • Strong experience in a digital, data, or technology-focused role within the infrastructure or water sector, • Proven track record of leading digital delivery across multiple programmes within complex, multi-disciplinary environments, • Experience working with UK water sector clients and regulated industry frameworks, • Strong data skills, including data governance, platforms such as Power BI and Azure, with scripting (e.g. Python) preferred, • Ability to translate digital strategy into owned, deliverable workplans with measurable outcomes, • Confident and compelling communicator, able to influence and engage both technical and non-technical stakeholders at all levels, • Experience facilitating client workshops and stakeholder sessions, and contributing to bid responses We celebrate diversity, including neurodiversity, and believe it enriches our team. We welcome applications from all backgrounds and abilities. If you are an applicant with a disability that requires reasonable accommodation to complete the application process, please contact us at . At AECOM, we value everyone's unique contributions and perspectives. If you meet some of the requirements above or have transferable skills you believe would benefit us, we would be delighted to hear from you! To support this commitment, all newly hired employees are required to attend an in-person Day 1 onboarding at an AECOM office location as a condition of employment. AECOM is the world’s trusted infrastructure consulting firm, delivering professional services throughout the project lifecycle – from advisory, planning, design and engineering to program and construction management. On projects spanning transportation, buildings, water, new energy and the environment, our public- and private-sector clients trust us to solve their most complex challenges. Our teams are driven by a common purpose to deliver a better world through our unrivaled technical and digital expertise, a culture of equity, diversity and inclusion, and a commitment to environmental, social and governance priorities. AECOM is a Fortune 500 firm and its Professional Services business had revenue of $16.1 billion in fiscal year 2025. See how we are delivering sustainable legacies for generations to come at aecom.com and @AECOM. You will have the flexibility you need to do your best work with hybrid work options. Whether you're working from an AECOM office, remote location or at a client site, you will be working in a dynamic environment where your integrity, entrepreneurial spirit and pioneering mindset are championed. You will help us foster a safe and respectful workplace, where we invite everyone to bring their whole selves to work using their unique talents, backgrounds and expertise to create transformational outcomes for our clients. AECOM provides a wide array of compensation, benefits and well-being programs to meet the diverse needs of our employees and their families. We're the world’s trusted global infrastructure firm, and we're in this together – your growth and success are ours too. Join us, and you'll get all the benefits of being a part of a global, publicly traded firm – access to industry-leading technology and thinking and transformational work with big impact and work flexibility. As an Equal Opportunity Employer, we believe in each person's potential, and we'll help you reach yours. We are a Disability Confident Employer and will offer an interview to applicants who have a disability or long-term condition, who meet the minimum/essential criteria for the role. Please let us know using this email address if you would like to apply through the Disability Confident Interview Scheme. All your information will be kept confidential according to EEO guidelines. #J-18808-Ljbffr

At the heart of everything we do is our vision to change lives every day, and our mission to grow The National Lottery responsibly and champion its impact. We are Allwyn UK, part of the Allwyn Entertainment Group - a multi-national lottery operator with a market-leading presence across the USA (Michigan and Illinois) and Europe, including Czech Republic, Austria, Greece, Cyprus and Italy. While the main contribution of The National Lottery to society is through the funds to good causes, at Allwyn we put our purpose and values at the heart of everything we do. Join us as we embark on a once-in-a-lifetime, largescale transformation journey by creating a National Lottery that delivers more money to good causes. We'll talk a bit more about us further down the page, but for now - let's talk about the role and who we're looking for... Working within Allwyn's Data & AI function, the Data & AI Security Engineer is responsible for embedding security architecture and risk management directly into the design and delivery of Allwyn's data platforms, analytics capabilities, and AI initiatives. The role has a dotted-line relationship into Enterprise Security, ensuring alignment with Allwyn's security strategy, standards, and risk appetite, while operating day-to-day as a trusted security architecture partner to Data & AI delivery, engineering, and product teams. The role exists to enable Data & AI teams to move quickly and safely, ensuring that platforms such as AWS Redshift, Reporting(Power BI), AWS Data platform systems and AI workloads are secure by design, compliant by default, and resilient at scale. Embedded Security Architecture & Engineering (Data & AI) • Act as the embedded security architect within Data & AI, shaping solutions from discovery through design and delivery., • Lead the definition and application of security architecture patterns for AWS-hosted data and analytics platforms, with a focus on Amazon Redshift, data pipelines, and supporting services., • Define secure architectural approaches for AI and advanced analytics workloads, including data ingestion, model training, experimentation, inference, and integration into downstream services., • Ensure designs address key security concerns such as data protection, identity and access management, encryption, environment segregation, monitoring, and resilience., • Provide proactive security architecture assurance to Data & AI initiatives, ensuring early engagement and secure-by-design outcomes., • Produce and maintain security artefacts including threat models, architectural risk assessments, solution security designs, and control definitions., • Identify, articulate, and manage security risks arising from data usage, analytics, and AI adoption, supporting informed decision-making where trade-offs are required., • Maintain strong alignment with Enterprise Security through a dotted-line relationship, ensuring consistency with:, • Security strategy and standards, • Risk appetite and governance expectations, • Regulatory and compliance obligations, • Contribute to the evolution of enterprise security patterns, standards, and guidance based on practical experience from Data & AI delivery., • Act as a trusted bridge between Data & AI teams and Enterprise Security, translating requirements in both directions in a pragmatic and delivery-focused way., • Partner closely with Data Engineering, AI, Cloud Engineering, Architecture, and Product teams to influence design decisions and promote security-first thinking., • Engage confidently with senior technical and business stakeholders, explaining security risks and recommendations in clear, outcome-focused terms., • Support capability uplift by coaching engineers and architects on cloud, data, and AI security principles., • Proven experience operating as a Security Architect or senior security advisory practitioner within complex, cloud-based environments., • Strong practical experience securing AWS-hosted data platforms, including Amazon Redshift and related analytics services., • Demonstrable understanding of security architecture principles across:, • Cloud and platform security, • Data platforms and data pipelines, • Identity and access management, • Encryption and key management, • Experience assessing and mitigating security risks associated with AI, machine learning, and advanced analytics., • Solid knowledge of recognised security frameworks and standards (e.g. NCSC CAF, ISO/IEC 27001, CIS Benchmarks)., • Ability to balance technical depth with delivery pragmatism, providing advice that enables progress while remaining defensible., • Experience working in agile, product-centred, or project-based delivery environments. At Allwyn, we are dedicated to changing lives and growing the National Lottery responsibly, championing its positive impact on people, places, and the planet. Innovation - We pride ourselves on it! We're constantly looking for new ways to excite our customers, bringing new products to market to enjoy which is all supported by our responsible play values and making them accessible to all. Giving back - Did you know that playing the lottery generates around £30m a week for charities and good causes in the UK? Our aim is to have doubled this number by the end of the first 10-year license. Sustainability - Our aim is to become a net zero national lottery. We have 2030 targets to decarbonise our operations and energy. We've already transitioned to renewable energy providers, made our London and Watford offices zero gas, and ensured our fleet consists of low-emission vehicles. In addition, we're working with our value chain partners to develop a net zero target date. Empowering every voice - We believe in creating a culture where everyone feels they belong, can be themselves, has access to opportunities and can thrive for the benefit of good causes. Our diverse teams are working hard to make all parts of The National Lottery inclusive - whether people play a game in a store or online, because when everyone can play, everyone wins.. At Allwyn, inclusion is built into how we care for our people. Our benefits and policies support colleagues and their families at every stage of life and career. By prioritising wellbeing and belonging, we create a workplace where everyone feels valued, rewarded, and empowered to succeed. Our people are more than colleagues - they're winners, driving positive change and making a real difference in communities. • Company Bonus Scheme, • Matched pension contributions up to 8.5%, • 26 days annual leave + 2 Life Days (and bank holidays), • Single Private Health Cover, • Complimentary Private Medical, • Income Protection, • Flexible Benefits - EV Scheme, Money Coach, Will Writing, Mortgage Advice, Dental and Eye Care Schemes., • Enhanced Family Leave (Maternity, Paternity, Adoption), • Wellness Allowance £500, • Employee Assistance Programme, • Discounted Health Assessments, • Volunteering Days, • Matched Funding We are a Disability Confident Leader which means we've taken proactive steps to ensure our workplace is accessible and inclusive for disabled and neurodivergent colleagues and candidates. As part of this we offer an interview to disabled applicants who meet the essential requirements of the job. If you need any assistance or adjustments to this job description or in the application process, please contact a member of the talent team at and we'll be happy to help. #J-18808-Ljbffr

At Artificial, we’re building the next generation of technology for the specialty (re)insurance market. Our mission is to transform how brokers and carriers operate in complex markets by removing operational barriers and enabling smarter, faster decision-making. We use modern technology to solve real challenges for some of the world’s leading brokers and insurers. By automating the repetitive and structuring the complex, we help our partners unlock new opportunities for innovation and growth. You’ll be joining a collaborative team that values curiosity, ownership, and continuous learning. We work in an environment where ideas are heard, support is built‑in, and outcomes matter. Everyone here has the chance to make a tangible impact on our products, our customers, and the industry. We've just raised $45M (£33M) in Series B funding from lead investor CommerzVentures, new investor Move Capital, as well as all existing shareholders. This investment round gives us the room to grow with confidence, continue to innovate, and ensure that Artificial remains the first choice for brokers and carriers seeking a smarter way to trade digitally. Join us, and take the chance to be a part of something that will change the landscape of insurance for generations. Today, a key part of delivery has no clear owner: problem framing before configuration begins. • On the customer side, there are rarely UX specialists - only domain experts and sponsors who describe needs as pre‑formed solutions., • On our side, configured workspaces are built by Forward Deployed Engineers (FDEs) in our Transform team: experts in the platform, accountable for shipping to a deadline, but not trained designers., • Our Platform teams have design expertise but are often too far removed from individual implementations to influence the moments that matter most. The result is pretty predictable: we move quickly into “how” before we are confident about the “what” and “why.” Your mandate is to slow down at the right moment and make sure we’re solving the right problem - then help the team implement the best platform‑valid solution. This is a founding role. You would be the first Forward Deployed Designer (FDD) at Artificial, hired into an enabling function within the Platform team, with the mandate to define how the function works and to build it out. Later, FDDs would join the Transform teams in hands‑on client roles: you’d take part in hiring them (with our support), then line‑manage them directly. You would work closely with the Transform team and customers throughout discovery and delivery. In practice, that means: • Establish the FDD function. Define the operating model, the patterns, and the ways of working from scratch., • Grow and manage the team. Take part in hiring subsequent FDDs and line‑manage them as they join., • Join customer + FDE sessions early (problem framing and discovery), not only at reviews once decisions are already fixed., • Translate requests into problems. For example, turn “we need a confirmation button before this step” into:, • the user behaviour driving the request, • two or three platform‑valid approaches, • a recommendation, with trade‑offs explained, • Prototype and test ideas quickly using the most effective medium (written specs, wireframes, workflows, or light code). We care more about clarity and platform realism than polished artefacts., • Provide credible pushback when the customer’s proposed solution doesn’t address the underlying problem., • Codify patterns and precedents so knowledge moves from individual memory into shared team infrastructure., • Level up the FDE team’s design instincts over time. You shouldn’t be the only person who can think about UX across the two teams; part of the job is coaching, so the capability can spread., • Use workspace signals (e.g. session data and call analysis) to surface risks early - before they become escalations. You are a designer who thrives in ambiguity and constraints, someone who can bring structure, judgement, and clarity to complex, real‑world delivery. • the design system already exists, • the hard part is framing the right problem and navigating stakeholders, • solutions must work within meaningful technical and organisational constraints You understand technical concepts fluently. Part of the role would involve writing code (with plenty of LLM and human assistance) using our in‑house DSL (Domain Specific Language). We don’t want you to be an engineer, but we do need you to be comfortable reading and writing some code, reasoning about how a configurable system behaves, and understanding what the platform can and can’t express, well enough to hold a credible conversation with engineers and to explain these constraints to customers when necessary. You have managed designers. You’re comfortable with line management of a small team (roughly three to five people) and have hired designers before. Early on, you’d do this hands‑on yourself; as the function grows, you’d manage the FDDs who follow. Insurance or Lloyd’s experience is a plus, but is not a requirement. We care more about how you think about complex platforms and stakeholders than about prior domain knowledge, which you can learn here. • Collaborative skills with an emphasis on product quality., • Experience in insurtech, insurance or related industries., • Strong problem‑solving skills., • Experience in a distributed work environment., • Private medical insurance, • Income protection insurance, • Life insurance of 4 * base salary, • On‑site gym and shower facilities, • Enhanced maternity and paternity pay, • Team social events and company parties, • Salary exchange on pension and nursery fees, • Access to Maji, the financial wellbeing platform, • Company stock options managed through Ledgy, • Milestone Birthday Bonus and a Life Events leave policy, • Generous holiday allowance of 28 days plus national holidays, • Home office and equipment allowance, and a company MacBook, • Learning allowance and leave to attend conferences or take exams, • YuLife employee benefits, including EAP and bereavement helplines, • For each new hire, we plant a tree through our partnership with Ecologi Action, • The best coffee machine in London, handmade in Italy and imported just for us! We’re proud to be an equal opportunities employer and are committed to building a team that reflects the diverse communities around us. If there’s anything you need to make the hiring process more accessible, just let us know—we’re happy to make adjustments. You’re also welcome to share your preferred pronouns with us at any point. As part of our hiring process, we’ll carry out some background checks. These may include a criminal record check, reviewing your credit history, speaking with previous employers and confirming your academic qualifications. #J-18808-Ljbffr

AI Engineer: £45,000 – £60,000. Machine Learning Engineer: £60,000 – £75,000. AI Trainee Engineer – £45,000–£75,000 – Job Programme.

At the heart of everything we do is our vision to change lives every day, and our mission to grow The National Lottery responsibly and champion its impact. We are Allwyn UK, part of the Allwyn Entertainment Group - a multi-national lottery operator with a market-leading presence across the USA (Michigan and Illinois) and Europe, including Czech Republic, Austria, Greece, Cyprus and Italy. While the main contribution of The National Lottery to society is through the funds to good causes, at Allwyn we put our purpose and values at the heart of everything we do. Join us as we embark on a once-in-a-lifetime, largescale transformation journey by creating a National Lottery that delivers more money to good causes. We'll talk a bit more about us further down the page, but for now - let's talk about the role and who we're looking for... A bit about the role Working within Allwyn's Data & AI function, the Data & AI Security Engineer is responsible for embedding security architecture and risk management directly into the design and delivery of Allwyn's data platforms, analytics capabilities, and AI initiatives. The role has a dotted‑line relationship into Enterprise Security, ensuring alignment with Allwyn's security strategy, standards, and risk appetite, while operating day‑to‑day as a trusted security architecture partner to Data & AI delivery, engineering, and product teams. The role exists to enable Data & AI teams to move quickly and safely, ensuring that platforms such as AWS Redshift, Reporting(Power BI), AWS Data platform systems and AI workloads are secure by design, compliant by default, and resilient at scale. • Embedded Security Architecture & Engineering (Data & AI) Act as the embedded security architect within Data & AI, shaping solutions from discovery through design and delivery., • Lead the definition and application of security architecture patterns for AWS‑hosted data and analytics platforms, with a focus on Amazon Redshift, data pipelines, and supporting services., • Define secure architectural approaches for AI and advanced analytics workloads, including data ingestion, model training, experimentation, inference, and integration into downstream services., • Ensure designs address key security concerns such as data protection, identity and access management, encryption, environment segregation, monitoring, and resilience., • Security Assurance & Risk Management Provide proactive security architecture assurance to Data & AI initiatives, ensuring early engagement and secure‑by‑design outcomes., • Produce and maintain security artefacts including threat models, architectural risk assessments, solution security designs, and control definitions., • Identify, articulate, and manage security risks arising from data usage, analytics, and AI adoption, supporting informed decision‑making where trade‑offs are required., • Maintain strong alignment with Enterprise Security through a dotted‑line relationship, ensuring consistency with: Security strategy and standards Risk appetite and governance expectations Regulatory and compliance obligations, • Contribute to the evolution of enterprise security patterns, standards, and guidance based on practical experience from Data & AI delivery., • Act as a trusted bridge between Data & AI teams and Enterprise Security, translating requirements in both directions in a pragmatic and delivery‑focused way., • Partner closely with Data Engineering, AI, Cloud Engineering, Architecture, and Product teams to influence design decisions and promote security‑first thinking., • Engage confidently with senior technical and business stakeholders, explaining security risks and recommendations in clear, outcome‑focused terms., • Support capability uplift by coaching engineers and architects on cloud, data, and AI security principles., • Proven experience operating as a Security Architect or senior security advisory practitioner within complex, cloud‑based environments., • Strong practical experience securing AWS‑hosted data platforms, including Amazon Redshift and related analytics services., • Demonstrable understanding of security architecture principles across: Cloud and platform security Data platforms and data pipelines Identity and access management Encryption and key management, • Experience assessing and mitigating security risks associated with AI, machine learning, and advanced analytics., • Solid knowledge of recognised security frameworks and standards (e.g. NCSC CAF, ISO/IEC 27001, CIS Benchmarks)., • Ability to balance technical depth with delivery pragmatism, providing advice that enables progress while remaining defensible., • Experience working in agile, product‑centred, or project‑based delivery environments. At Allwyn, we are dedicated to changing lives and growing the National Lottery responsibly, championing its positive impact on people, places, and the planet. Innovation - We pride ou #J-18808-Ljbffr

At Artificial, we’re building the next generation of technology for the specialty (re)insurance market. Our mission is to transform how brokers and carriers operate in complex markets by removing operational barriers and enabling smarter, faster decision-making. We use modern technology to solve real challenges for some of the world’s leading brokers and insurers. By automating the repetitive and structuring the complex, we help our partners unlock new opportunities for innovation and growth. You’ll be joining a collaborative team that values curiosity, ownership, and continuous learning. We work in an environment where ideas are heard, support is built-in, and outcomes matter. Everyone here has the chance to make a tangible impact on our products, our customers, and the industry. We’ve just raised $45M (£33M) in Series B funding from lead investor CommerzVentures, new investor Move Capital, as well as all existing shareholders. This investment round gives us the room to grow with confidence, continue to innovate, and ensure that Artificial remains the first choice for brokers and carriers seeking a smarter way to trade digitally. Join us, and take the chance to be a part of something that will change the landscape of insurance for generations. At Artificial, there are three primary sources of documentation we maintain: • Client‑facing product documentation for insurance business users (brokers, underwriters and operations teams using our platform), • Our internal documentation site, which is our most heavily used documentation surface, built docs‑as‑code from the engineering repository and authored largely by engineers., • Our public API documentation, owned and authored by our Integrations team from auto‑generated OpenAPI specifications. The below responsibilities break down how each of these three sources are to be managed. • Own the client‑facing product documentation (1) end‑to‑end: strategy, information architecture, standards, tooling and content quality, • Own the internal documentation gap backlog (2):, • proactively identify potential gaps and triage incoming gap reports, • route each one to the best‑placed author and chase it to completionwrite the content yourself where you're the right author, • Steward the internal documentation site (2) and public API documentation (3): set the standards, information architecture and editorial bar for content authored by engineering and integrations teams, and keep the publishing pipelines healthy, • Interview engineers about new features as they ship, and demystify them for non‑technical readers before anyone has to ask, • Act as editorial reviewer on documentation changes, catching duplication, misplacement and unclear writing before it ships, • Write and maintain the highest‑value client‑facing content yourself: core product guides and release communications, • Select, build and run the documentation toolchain, including docs‑as‑code workflows (static site generators, CI/CD, review gates) where they serve us best, • Design and operate AI‑assisted authoring pipelines that raise quality and throughput without sacrificing accuracy, • Build the contribution model: templates, style standards and review processes that let product managers and engineers contribute content you curate rather than gatekeep, • Partner with the Integrations team on API documentation: raise the quality of guides and examples around the auto‑generated reference without taking authorship away from the experts, • Partner with product and customer‑facing teams so documentation ships with releases, not after them, • Measure whether documentation is working: usage, search behaviour, support deflection and client feedback, and act on what you find, • Set the standard for clear technical communication across the company, • 6+ years in technical writing, documentation engineering or a closely related discipline, • Demonstrable experience producing end‑user product documentation, plus enough developer documentation experience to edit and improve API guides credibly, • Hands‑on experience owning documentation tooling, including docs‑as‑code workflows (for example Git‑based authoring, static site generators, CI pipelines), • A portfolio or writing samples that show you can make complex technical material clear for both technical and non‑technical readers, • Used to working in a fast‑paced, technological environment, with all the ambiguities this presents: flexibility will be needed, • Confident in reading and understanding code and pull requests, so that you are able to identify where documentation might need adding/editing, • Built or substantially restructured a documentation estate, not just contributed to one, • Experience establishing contribution models where engineers and product managers write and you edit and curate, • Practical experience using LLMs in documentation workflows, with a clear‑eyed view of where they help and where they fail, • Familiarity with structured documentation frameworks such as Diataxis, • Familiarity with OpenAPI specifications and generating reference documentation from source, • Previously worked in a scale‑up environmentCome from an InsurTech, FinTech or other regulated‑industry background, • Private medical insurance, • Income protection insurance, • Life insurance of 4 * base salary, • On‑site gym and shower facilities, • Enhanced maternity and paternity pay, • Team social events and company parties, • Salary exchange on pension and nursery fees, • Access to Maji, the financial wellbeing platform, • Company stock options managed through Ledgy, • Milestone Birthday Bonus and a Life Events leave policy, • Generous holiday allowance of 28 days plus national holidays, • Home office and equipment allowance, and a company MacBook, • Learning allowance and leave to attend conferences or take exams, • YuLife employee benefits, including EAP and bereavement helplines, • For each new hire, we plant a tree through our partnership with Ecologi Action, • The best coffee machine in London, handmade in Italy and imported just for us! We’re proud to be an equal opportunities employer and are committed to building a team that reflects the diverse communities around us. If there’s anything you need to make the hiring process more accessible, just let us know—we’re happy to make adjustments. You’re also welcome to share your preferred pronouns with us at any point. As part of our hiring process, we’ll carry out some background checks. These may include a criminal record check, reviewing your credit history, speaking with previous employers and confirming your academic qualifications. #J-18808-Ljbffr

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