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👋 About Renude Renude builds AI-powered software for the beauty industry, helping brands deliver personalised, expertise-focused customer support through intelligent digital agents. Our technology powers e-commerce experiences including: skin analysis, product recommendation and LLM-based chat. We’ve been awarded by CEW, Beauty Innovation Awards, Tech Nation and more, and have raised over $3M from leading tech investors. Our team combines tech, formulation, dermatology, e-commerce and sales expertise. We’re looking for a mid-senior (4+ years experience) Machine Learning Engineer to help design, build, and scale our production ML systems with ownership from experimentation through to deployment. You’ll work end to end on LLM-powered conversational agents and support the training, optimisation, and deployment of computer vision models that power real customer interactions. 🔧 What We Offer • Train, evaluate and deploy agentic AI systems and computer vision models for real-world use, • Collaborate with product and engineering to integrate ML systems into user-facing features, • Develop and deploy production-quality machine learning frameworks, while maintaining robust MLOps pipelines, • Stay up-to-date with the latest advancements in AI, conduct research, and explore innovative techniques, • Influence key decisions on architecture and implementation of scalable, reliable, and cost-effective engineering solutions ✅ What We're Looking For Must-Haves: • 4+ years experience writing production ready code for machine learning systems, • 2+ years experience developing conversational AI, RAG, agentic systems or LLM-based products, • Familiarity with RAG orchestration frameworks such as LangChain or LlamaIndex.2+, • Experience with production optimisation for RAG systems, including latency, token cost control, context window constraints, monitoring and prompt versioning, • Strong Python skills and experience with PyTorch, TensorFlow or Keras, • Exposure to MLOps practices and hands-on experience with Sagemaker and/or Vertex AI, • Bachelor's degree in a technical field such as computer science or years of equivalent experience, • Comfortable working autonomously and taking ownership in a fast-moving, remote, startup environment Nice-to-Haves: • Masters or advanced degree in artificial intelligence, machine learning, natural language processing, computer vision, or related field, • 2+ years experience training and optimising computer vision models, • Proficiency working with vector stores, data chunking, embeddings, retrieval, ranking and recommendation systems, • Experience with Django or similar Python web frameworks, • Familiarity with Docker and containerised development, • Exposure to CI/CD pipelines and infrastructure-as-code 🌱 What We Offer • Competitive compensation (based on experience and location), • Remote-friendly culture with flexible working hours, • Opportunity to work with cutting edge technologies, • High ownership and real technical influence, • A supportive team that values product excellence and personal growth

Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 About the Company Our client is an extremely well know, digital marketplace focused on sustainable ecommerce. With over 35 million of active users globally, they’re redefining how people buy and sell second-hand fashion, aiming to make the future of style both circular and accessible. The company has offices in UK, EU and US and experienced significant growth especially around the US market and now operates as part of a leading global e-commerce group. They pride themselves on fostering inclusivity, creativity, and innovation and values that extend to both their community and their teams. The organisation champions diversity, equal opportunity, and flexible working. They offer a progressive benefits package designed to support wellbeing, learning, and work-life balance. The Role of Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 Our client is seeking an experienced Machine Learning Engineering Manager to lead the reccomendation team. This person will drive innovation in how users find and engage with products through advanced machine learning models improving search relevance, personalisation, and conversion outcomes at scale. You’ll lead a talented team of ML Scientists and collaborate cross-functionally with product, data, and engineering leaders to define and execute the ML roadmap for search. This is an opportunity to have tangible business impact while working with cutting-edge technology in NLP, computer vision, and multimodal retrieval. Key Responsibilities for the Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid, 1 Day PW, Up to £140,000 • Lead, coach, and develop a team of ML Scientists, fostering a culture of experimentation, collaboration, and continuous learning., • Partner with Product, Data, and Engineering leaders to shape and deliver an actionable ML strategy that drives engagement, conversion, and growth., • Oversee the design, training, and deployment of search and recommendation models — from data strategy to monitoring and performance optimisation., • Collaborate with platform and MLOps teams to ensure robust, efficient, and scalable ML workflows (including CI/CD, feature management, and monitoring)., • Share insights and best practices across other ML teams, particularly in areas of recommendations, ranking, and multimodal representation learning., • Stay current with emerging research in NLP, CV, and multimodal retrieval; champion responsible AI principles; and communicate findings to both technical and non-technical audiences. Requirements for the role: • 7+ years of experience in applied machine learning with a proven track record delivering production models at scale., • At least 2 years of leadership experience managing ML Scientists or Engineers., • Deep expertise in search and recommendation systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms)., • Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow., • Strong grounding in experimental design, A/B testing, and the use of offline/online metrics to guide product strategy., • Excellent communication and stakeholder management skills, with the ability to bridge complex ML concepts for diverse audiences., • Familiarity with AWS and Databricks., • Experience with search infrastructure (e.g., OpenSearch or Elasticsearch). What can they offer you? • Private health and mental wellbeing coverage, including access to counselling and coaching., • Salary of up to £140,000+Bonus & Benefits, • 25 days annual leave, plus additional company-wide rest days and volunteer leave., • Flexible hybrid working, with the option to work abroad for limited periods., • Generous parental, IVF, and carer leave policies., • Learning and development budgets for conferences, mentorship, and skills growth., • Pension matching, life insurance, and recognition for service milestones. If you are interested in the Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 then drop over your CV and we will give you a call if we think you are a good fit!

About Aero A digital experience company, we sit at the intersection of insights, creativity and technology, crafting digital experiences that transform business performance. We’re a small, fully remote team with big ambitions. We work hands-on with our clients, giving our teams genuine ownership of their work. Every project you touch will be seen by thousands of people and will directly influence how high-profile brands connect with their audiences. Who we’re looking for We’re looking for a front-end developer who’s motivated, curious, and excited to create impactful e-commerce experiences. You’ll be joining at an early stage, which means plenty of opportunity to shape how we work, grow your skills, and leave your mark. If you care about craftsmanship, love solving complex problems, and want to work directly with well-known brands, we’d love to hear from you. Experience We’re looking for someone who has: • 2-3+ years of experience working in a web development agency or in-house for a brand, • Experience developing Shopify themes, • Strong knowledge of modern JavaScript, • Ability to write well-structured, semantic, and accessible HTML, • Confidence writing framework-agnostic, performance-focused JavaScript, • Awareness of WCAG accessibility guidelines, • Solid understanding of front-end performance best practices, • Strong attention to detail when building polished, complex interactions, • A positive, problem-solving mindset and broad technical curiosity, • Experience with modern web tooling (transpilers, linters, build and CI tools, etc.), • Experience with Git and ability to collaborate in a dev team, • Awareness of modern and emerging browser APIs, • Familiarity with progressive enhancement principles Nice to have Not essential, but any of these would be a bonus: • Experience with a front-end/full-stack framework like React or Remix, • Experience with a back-end language, framework, or backend platform like Supabase, • Experience setting up or running A/B tests, • Experience building with a headless CMS, • Previous agency experience, delivering websites for multiple clients, • Deep knowledge in one or more areas such as animation, performance, or accessibility Benefits • Fully remote, forever - work from anywhere in the UK, with flexible hours, • Generous annual leave - 28 days + bank holidays, • Top equipment - high-spec Apple machine provided, • Salary DOE - competitive for your level of experience

Owen Thomas Recruitment Senior/Principal Recruitment Consultant | Software Engineering | Fully Remote or Hybrid London If you’re reading this, chances are you’re not completely satisfied with where you are. Which for us, was enough to want to make a change. At Owen Thomas, we’re breaking away from the typical corporate approach and creating an environment that is not only high performing but also collaborative, engaging, flexible, genuinely rewarding and most importantly, a great time. We’re looking for a Senior or Principal Recruitment Consultant who thrives on innovation and is ready to help us source top talent, bring in new business and drive our company forward. There’s no mysterious formula for your career here- we offer a clear, straightforward path for growth, whether that be management or remaining as an IC is down to you. We expect you to care deeply about your work and the people you connect with. We also set out with a commitment to create a company that gives back and in our first year we have achieved our B-Corp pending status. Remote options? Absolutely. We trust you to manage your time and your responsibilities in a way that works best for you. Why? We want to build a platform for high performance and career progression that also encourages life experiences. At Owen Thomas, we believe in working hard, but we also believe there’s always time for a cuppa. What You’ll Do: • Active business development, bringing in new clients through networking events, regular client meetings, proactive cold-calling and penetration of current clients., • Build relationships with top-tier candidates, fostering long-term, meaningful relationships built on trust and collaboration., • Bring innovation and drive to our team; finding new & better ways to do recruitment, seeking opportunities beyond what we’re already doing. Managing accounts with strategic thinking and a culture of trust. What We’re Looking For for the Senior/Principal Recruitment Consultant | Software Engineering | Fully Remote or Hybrid London • Have at least 36-months Technology recruitment experience, • A Proven 360 Billings profile – Principal Consultants are expected to bill £250k+ (new business), • Someone who knows the London software engineering market inside out., • Someone who wants a seat at the table of an ambitious, profitable early-stage startup, • Proven success within their niche and wants the opportunity for career growth whilst living a more flexible lifestyle, • Resilient & disciplined to stay consistent every single day, • Ambitious and self-motivated to be a future leader (biller or management), • Strong communication skills and ability to build lasting relationships, • Passion for Tech for Good, • Someone who shares Owen Thomas’ values; balancing purpose, profit and planet, • It’s not all about billing, we are looking for someone who is goal-oriented both professionally and personally. What’s In It for You: • Up to 22.5% Commission on every placement – uncapped & no threshold, • Compeititve basic salary, • Early Stage Equity, • Unlimited holiday, • Fully Remote Option and access to co-working space/London office., • Mental Health Support via Wellness Coach, • Autonomy over your time with success measured by output over input, • Monthly Top Performers Tea, • 2x holiday incentives per year, • Anytime GP appointments, • Cycle to Work scheme (if you join a co-working space), • Multiple volunteering opportunities (unlimited days per year), • Private Medical Insurance, • OT Wellbeing Scheme, • Gender Neutral Parental Leave Scheme If you were just having a gander at the options out there but have made it all the way down here, then apply to the role and we will give you a call if we think you,are a good fit!

• Location - Candidates are required to be living in the UK, however, they can work remotely, • Perks- Fully Remote, Health Care & Uncapped Variable Compensation, • Regions- EMEA/Nordics/Benelux, • Languages- English required and a second European Language highly preferred Cofense is the only cybersecurity platform focused exclusively on stopping phishing—the most persistent and evolving cyber threat. Our expert-supervised AI, combined with real-time intelligence from 35M+ trained users, detects advanced phishing attacks other solutions miss and remediates them in minutes. Cofense delivers high-confidence alerts that reduce false positives and identify false negatives, improving security team efficiency. Real-world simulations continuously train employees to recognize and report what technology can’t catch. Cofense augments your existing email defenses, covering phishing detection and response gaps. This is an exciting opportunity to work with an exceptional global enterprise sales team here at Cofense! We’re looking for passionate individuals who excel at prospecting, thrive in team settings and bring innovative ideas to tackle complex problems. At a fast-growing company like Cofense, you’ll have the chance to make a real impact. Reporting to the VP Sales International, the Account Executive is responsible for new business sales in the UK, Nordics & Benelux. Essential Duties/Responsibilities • Sales at CIO / CISO / and Head of SOC level, • Exceed quarterly and annual revenue goals, • Build relationships with key decision-makers in information security departments and IT across a variety of industries., • Self-starter with ability to clearly articulate a message, generate interest, create meetings, and manage associated pipeline., • Demonstrable track record of closing Enterprise opportunities from $200k to $1m., • The position is pure New Business focused (Net New Logo & Expansion)., • The position will require regular travel, as well as the ability to represent our company at events., • Ability to travel up to 40%., • Other duties as assigned. Knowledge, Skills and Abilities Required • 5 years + successful experience in external sales of information security services or products, • Hands-on experience in providing information security services, • Experience as a presenter on information security topics at conferences and events preferred, • Motivated and tenacious individual ready to take a proven technical solution and managed service to market., • Experience of Value Based Selling, with an ability to calculate and present ROI Calculations., • Ability to work a direct touch sales campaign with end user, partner, or system integrator whilst maintaining control and access to end user., • Expertise in managing sales opportunities from prospecting to closure., • Excellent negotiation, presentation and communication skills, • Capability to present technical information to a variety of audiences, • Demonstrated ability to forecast and manage information using SalesForce.com, • Ability to manage and cultivate an extensive list of contacts in the information security field, • Ability to manage multiple high priority tasks to successful completion, • Ability to work in a fast paced, geographically dispersed organization Education and/or Experience:. • Knowledge of the sales training and methodologies needed to manage a complex sales cycle to conclusion (preferably MEDDPIC), • Bachelor of Arts or Science degree preferred, • Experience in working for software startups preferred

Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 About the Company Our client is an extremely well know, digital marketplace focused on sustainable ecommerce. With over 35 million of active users globally, they’re redefining how people buy and sell second-hand fashion, aiming to make the future of style both circular and accessible. The company has offices in UK, EU and US and experienced significant growth especially around the US market and now operates as part of a leading global e-commerce group. They pride themselves on fostering inclusivity, creativity, and innovation and values that extend to both their community and their teams. The organisation champions diversity, equal opportunity, and flexible working. They offer a progressive benefits package designed to support wellbeing, learning, and work-life balance. The Role of Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 Our client is seeking an experienced Machine Learning Engineering Manager to lead the reccomendation team. This person will drive innovation in how users find and engage with products through advanced machine learning models improving search relevance, personalisation, and conversion outcomes at scale. You’ll lead a talented team of ML Scientists and collaborate cross-functionally with product, data, and engineering leaders to define and execute the ML roadmap for search. This is an opportunity to have tangible business impact while working with cutting-edge technology in NLP, computer vision, and multimodal retrieval. Key Responsibilities for the Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid, 1 Day PW, Up to £140,000 • Lead, coach, and develop a team of ML Scientists, fostering a culture of experimentation, collaboration, and continuous learning., • Partner with Product, Data, and Engineering leaders to shape and deliver an actionable ML strategy that drives engagement, conversion, and growth., • Oversee the design, training, and deployment of search and recommendation models — from data strategy to monitoring and performance optimisation., • Collaborate with platform and MLOps teams to ensure robust, efficient, and scalable ML workflows (including CI/CD, feature management, and monitoring)., • Share insights and best practices across other ML teams, particularly in areas of recommendations, ranking, and multimodal representation learning., • Stay current with emerging research in NLP, CV, and multimodal retrieval; champion responsible AI principles; and communicate findings to both technical and non-technical audiences. Requirements for the role: • 7+ years of experience in applied machine learning with a proven track record delivering production models at scale., • At least 2 years of leadership experience managing ML Scientists or Engineers., • Deep expertise in search and recommendation systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms)., • Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow., • Strong grounding in experimental design, A/B testing, and the use of offline/online metrics to guide product strategy., • Excellent communication and stakeholder management skills, with the ability to bridge complex ML concepts for diverse audiences., • Familiarity with AWS and Databricks., • Experience with search infrastructure (e.g., OpenSearch or Elasticsearch). What can they offer you? • Private health and mental wellbeing coverage, including access to counselling and coaching., • Salary of up to £140,000+Bonus & Benefits, • 25 days annual leave, plus additional company-wide rest days and volunteer leave., • Flexible hybrid working, with the option to work abroad for limited periods., • Generous parental, IVF, and carer leave policies., • Learning and development budgets for conferences, mentorship, and skills growth., • Pension matching, life insurance, and recognition for service milestones. If you are interested in the Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 then drop over your CV and we will give you a call if we think you are a good fit!

About Fourteen IP Fourteen IP are the world's leading provider of AI and cloud telephony solutions for the hospitality sector, helping hotels worldwide streamline operations and enhance guest experiences. Their Evolution Voice cloud telephony service is used in over 350,000 hotel rooms across 25 countries, while their AI-powered Evolution Virtual Agent (EVA) manages millions of guest calls, improving efficiency for hotels. As a growing and innovative company, they are looking for a motivated and tech-savvy individual to join their team as an IT Support Apprentice. This is a fantastic opportunity for someone passionate about technology, networking, and troubleshooting to gain hands-on experience in a rapidly expanding industry. About the Role As an IT Support Apprentice, you will play a key role in supporting hotel clients with their cloud telephony and networking systems. You will gain experience in technical support, fault-finding, installations, and VoIP technologies while working with experienced professionals. A Typical Day in the Job: Technical Support & Troubleshooting - Diagnose and resolve faults in cloud telephony, routers, switches, and networks via phone, email, and remote access tools.  Installation & Maintenance - Configure, test, install, and repair IT & telephony equipment, ensuring systems are ready for deployment.  Remote & On-Site Support - Respond to faults, moves, additions, and changes while providing assistance to customers and colleagues.  VoIP & Network Monitoring - Use Wireshark, Magic, and BroadWorks to analyse VoIP performance and check device configurations.  Documentation & Compliance - Accurately log work orders, reports, and stock control, ensuring adherence to ISO9001 service standards.  Security & Policy Adherence - Follow security protocols for password resets, backups, and compliance with company policies. Salary, Hours & Benefits:  Starting Salary: £18,150+ (based on experience)  22 days holiday + bank holidays (increasing yearly to 27 days after 5 years) Hours: 37.5 hours per week (Monday - Friday, 9:00 AM - 5:30 PM)  Cycle-to-work scheme  Health cover scheme  Pension scheme  Hands-on training & career development in IT & networking Desired Qualities, Skills and Knowledge: ? Customer-focused - able to communicate effectively and professionally. ? Problem-solving & analytical - able to assess situations and apply logical solutions. ? Technically minded - interested in networking, IT systems, and cloud technology. ? Methodical & detail-oriented - follows structured processes and checks information. ? Adaptable & eager to learn - committed to developing technical skills. ? Team player - able to work well with colleagues and external stakeholders. ? Motivated & proactive - takes initiative and works independently when required. Required Grades - Maths 4/C, English 5/C. Your Training with Baltic: This Level 3 apprenticeship provides everything you need to immerse yourself in the exciting world of technology and launch a rewarding career in IT. You'll get hands-on experience in all areas of technical support, from configuring devices to supporting software, optimising performance and setting up virtual environments. With our unique curriculum and one-to-one support, you'll accelerate your skills and get the qualifications and confidence you need to thrive in IT. You'll be based full-time with an employer and will quickly become an important part of the team. Our training is 100% online, including real-time classes with our expert trainers and self-paced courses created by industry specialists. Next Steps: To apply, please submit your CV and a cover letter explaining your interest in the role and what you hope to gain from an apprenticeship with Fourteen IP. If your application is then successful, one of our recruitment consultants will be in touch to discuss your application further. Eligibility Criteria: You must have the right to work in the UK, and valid residency status to apply for this apprenticeship. INDIT TPBN1_UKTJ

Join Police Digital Service as a NMC Cyber Trend Analyst. Hybrid/Wigan Full time, Permanent. Salary starting at £50,000 About Police Digital Service At PDS, we empower UK policing to stay ahead of evolving threats in a rapidly changing digital landscape. As the trusted technology partner for law enforcement, we deliver cutting-edge services and strategic guidance to help forces maximize their tech investments, improve public safety, and ensure value for money. The National Management Centre (NMC) is a core part of Police Digital Service (PDS), providing 24/7/365 cyber threat detection, response, and risk management capabilities across UK policing. We help forces proactively understand and mitigate cyber risks at both national and local levels. Key Responsibilities Responsible or gathering, normalising, and integrating cybersecurity-related data from multiple sources (e.g., SIEM, threat feeds, vulnerability sources, and cloud platforms) to develop trends and to detect threats, vulnerabilities, and anomalies. Ability to translate raw data into meaningful insights that inform security posture or service improvements. Development of dashboards, reports, and visualisations to communicate data analysis, security posture, trends, and emerging threats to both internal and external stakeholders. Designing, developing, implementing, and monitoring key performance indicators (KPIs) that measure the effectiveness of cybersecurity services and trend analysis initiatives. Responsible for ensuring data quality, consistency, and completeness for accurate analysis. Engage with internal teams across the NMC (Detect and Respond, Malware Analysis, Vulnerability Management, Threat Hunting, Threat Intelligence) and PDS (Assurance, Compliance, DDaT) to ensure a data-led mentality is integrated across all cyber defence functions. What you need to succeed in the role Essential: Strong ability to interpret complex data sets and identify trends related to cyber security threats. Familiarity with cybersecurity principles, data analysis-tools,and threat detection techniques. Skilled in data analysis statistical methods, and trend analysis. Critical thinking to identify patterns and anomalies. Familiarity with BI tools (Power BI, Tableau), data visualisation, and performance analytics frameworks. Excellent communication skills - able to translate disparate data sets into actionable insights and recommendations. Ability to work independently and proactively. All applicants must be eligible to undergo NPPV3 (Non Police Personnel Vetting Level 3) and SC vetting clearances. Successful applicants will require NPPV3 clearance to have been cleared before starting with PDS. Desirable Experience? . Understanding of threat landscapes, attack vectors, and adversary tactics (MITRE ATT&CK framework). Proficiency in SQL / KQL and Resource Graph for data scripting, transformation and automation. Familiarity with Azure and Fabric, using dataflows and data lakes to build scalable datasets. Understanding of UK policing cyber environment. Why Join us? Balance is important and we want you to take time off to recharge - we offer 28 days' annual leave plus bank holidays, rising to 30 days after 5 years of service. Holiday Purchase also available Flexible working hours - We trust you to do your job and we appreciate that life doesn't always fit around a 9 to 5 workday. We operate core hours of 8 to 6, Monday to Friday (37hr week) We care about your well-being - we have an EAP that offers not just welfare benefits but also retail discounts Plan for the future - we offer an excellent pension scheme and life assurance cover Put your mind at rest regarding your health - offering remote GP, mental health and physiotherapy appointments via video consultation Family - Enhanced maternity and paternity pay along with a flexible return to work Community - one paid day off per year for volunteering You can find out more here: Benefits - Police Digital Service (pds.police.uk) Diversity, equity and inclusion We are committed to equal opportunity for all and will not discriminate on any grounds. We encourage applications from people from the widest possible span of experience. We particularly welcome applications from Black, Asian and Minority Ethnic (BAME) candidates and people with disabilities. Working Arrangements At the NMC, you will benefit from hybrid working, getting the advantages of both face-to-face team engagement and home working. NMC employees have the opportunity to work in our modern office environment for in-person collaboration, however you will also get the opportunity to work from home 2 days a week. All applicants must be eligible for NPPV3 and SC clearances. Successful applicants will require NPPV3 clearance to have been approved before starting with PDS. TPBN1_UKTJ

Acquisition Integration Specialist Acquisition Integration Specialist The location of the role is remote working (based in UK - regular travel required). The duration of the contract is 6 months initially. The pay rate on offer is £35 - £37 per hour. Summary The Acquisition Integration Specialist will be responsible for managing and executing the integration of IT systems, equipment, and technology...

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