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Engineering Manager, MLOps, 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, MLOps, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 Our Client is looking for an experienced MLOps Engineering Manager to lead and scale their MLOps function. You will be shaping how machine learning is developed, deployed, and scaled across the organisation. This is a genuinely high-impact role: you’ll lead a talented team of 6-8 engineers, set the strategic direction for ML infrastructure, and ensure the business continues to deliver reliable, scalable, and high-performing ML systems that drive real-world impact. Key Responsibilities for Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid, 1 Day PW, Up to £140,000 • Manage and develop a team of 8 MLOps engineers, fostering collaboration, high performance, and personal growth., • Define and deliver the MLOps roadmap, aligning closely with the wider engineering and data strategy., • Provide guidance on architecture, tooling, and best practices for ML pipelines, deployment, monitoring, and incident management., • Partner with data science, ML, and product teams to ensure infrastructure supports innovation and business needs., • Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient., • Take ownership of critical ML/infra incidents, ensuring swift resolution and continuous learning., • Deliver clear progress, risk, and priority updates to leadership in a concise and actionable way. Requirements for the role: • Proven experience leading an MLOps, ML Engineering, or Platform Engineering team., • Solid background in applied machine learning and a passion for platform disciplines., • Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management., • Knowledge of GPU computing for model training and serving., • Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab CI)., • Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed)., • Strong understanding of monitoring, logging, and observability for large-scale ML systems., • Experience in cost optimisation for compute/GPU workloads., • Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders., • Comfortable working in a fast-paced, collaborative environment with strategic and operational responsibilities., • Experience with vendor management and contract oversight., • Familiarity with tools such as Databricks, Tecton (or Feast), Seldon, or SageMaker. 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, MLOps, 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!

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!

___ (SDG) is the 3rd largest social discovery company in the world, uniting 60+ brands with 500 million users. We solve the problems of loneliness, isolation, and disconnection by transforming virtual intimacy into the new normal. Our portfolio includes online communication platforms focusing on AI, game mechanics, and video streaming - Dating.com, DateMyAge, Cupid Media, Dil Mil, Kiseki, and others. SDG invests in IT startups around the world. Our investments include Open AI, Patreon, Flo, Clubhouse, Woebot, Flure, Astry, Coursera, Academia.edu, and many others. We bring together a team of like-minded people and IT professionals specializing in the creation and development of globally impactful social discovery products. Our international team of 1200 professionals and digital nomads works all over the world. Our teams of digital nomads work remotely from Cyprus, Malta, the USA, Armenia, Georgia, Kazakhstan, Montenegro, Poland, Latvia, Serbia, Spain, Portugal, UAE, Israel, Turkey, Thailand, Indonesia, Japan, Hong Kong, Australia and many other locations. In August 2024, we achieved Great Place to Work US Certification™! This achievement reflects our core belief that a truly exceptional workplace is built on trust, pride, and camaraderie—not just great perks. We are looking for a Founder (CPO) who will be responsible for building a new Emotional Companion product from scratch. Your main tasks will be: • Product strategy and P&L — vision, roadmap, pricing and packages, budget and OKRs, margin control and growth rates., • Growth & monetization — conversion to subscription, upsell (minute bundles/telephony/video), virtual gifts, price experiments, funnels., • Retention & quality — churn reduction, mechanics for anchoring a “favorite companion,” context handover, NPS/CSAT., • Supply/Operations — recruiting and training companions (Companion Academy), scheduling/Workforce, response SLA, QA/audit., • Trust & Safety — content policies (ban on sexual/offline), real-time moderation/post-moderation, incidents and appeals, transparency., • AI-hybrid — phased rollout (assistant → hybrid → AI-tier) to reduce COGS without losing brand trust., • Risks/crisis comms — preparation and execution of crisis communications (compensated dating narrative), interaction with platforms and media., • Team — hiring and development, culture of data and accountability for results. We expect from you: • 8–12+ years in consumer subscription/marketplace (wellness/communications/telemedicine/EdTech), managed P&L, • Scaling supply operations (contact centers/gig) 1k–10k+ providers; Workforce/SLA, • Trust & Safety/UGC policies, passing App Store/Google Play requirements., • Data-driven products: A/B tests, pricing, monetization., • Experience implementing AI assistants/hybrids in consumer products., • Crisis management: PR/regulator cases, narrative management., • Fluent Russian What do we offer: • REMOTE OPPORTUNITY to work full time;, • Vacation 28 calendar days per year;, • 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave;, • Bonuses up to $5000 for recommending successful applicants for positions in the company;, • 50% payment for professional training, international conferences and meetings;, • Corporate discount for English lessons;, • Health benefits. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children);, • Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years;, • Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc. Sounds good? Join us now!

Content & Partnerships Executive (Part-Time, Remote – 20 hrs/week) About Adonis Foods Adonis Foods is a fast-growing, fun, and innovative healthy snacking brand specialising in sports nutrition, keto products, and low-sugar functional snacks. Founded in London in 2016, we now sell across 11 major UK & EU retailers and are one of the top keto bar sellers on Amazon UK. We’ve recently expanded into 1,600 dm stores in Germany, where our products are outperforming major competitors by 30%. With ranges including Protein Bars, Keto Crackers, Nut Bars, and Keto Protein Shakes, we focus on clean, low-carb, plant-based ingredients with great taste—and a strong sustainability ethos. Join a fast-paced, exciting brand with huge momentum. Role Overview We’re looking for an experienced Content & Partnerships Executive to manage our social media presence, coordinate agencies/contractors, and maximise the use of existing content across all platforms. This is a part-time, remote role (20 hours/week). Key Responsibilities · Manage and optimise existing content across Instagram, TikTok, Facebook, LinkedIn, Threads, YouTube, and other relevant channels · Coordinate agencies and freelancers; review content and ensure smooth campaign delivery · Schedule content, maintain brand consistency, and repurpose assets for maximum impact · Track performance and report insights to Sales/Marketing leadership · Support influencer, brand, and partnership collaborations by coordinating available content Requirements · Proven experience in social media management, content coordination, or digital marketing · Strong organisational and communication skills · Experience working with agencies/contractors · Able to work independently in a remote, part-time structure Bonus Skills · Experience in e-commerce, wellness, or healthy snacks · Familiarity with analytics tools or paid social platforms What We Offer · Remote, flexible 20-hour-per-week role · Be part of a fun, fast-growing, mission-driven brand · Opportunity to shape our digital and partnership strategy as we scale

We are working exclusively with our client to find a Remote Sales Engineer based in the UK. About: We’re partnering with a leading technical-assessment SaaS business that is redefining how engineering teams are built. Their platform enables organisations to screen, test, and skill-map both candidates and employees, ensuring smarter and fairer hiring decisions by evaluating real technical ability at scale. By powering more accurate skills analysis, they are driving digital transformation, enabling AI adoption, and shaping workforce intelligence for some of the world’s most innovative companies. With an established Head of Sales Engineering and IC team providing much-needed technical support, it is now time for another Sales Engineer to assist with enterprise and mid-market deals. Key Highlights: • Sales Engineer role with real impact in a growing, high-performing team., • Business at $16M ARR, currently in turnaround mode – opportunity to shape both strategy and execution., • Series B company with $20M+ raised., • 80% of leads are generated through inbound channels., • Covering both the UK and US - working with some of the most interesting companies across the globe., • 40% win rate and $100K ACV, with a 4–8 month deal cycle., • Reports directly to the Head of Sales Engineering, recently promoted after consistent top performance., • Achievable team quota of $1.2m per quarter., • Enterprise customer base includes Deloitte, Amex, Tesla, BMW, and BT., • Global headcount of ~85 (30 in the UK), offering strong influence and scale potential., • Product delivers tangible ROI: saves TA and engineering time, reduces bad hires, and accelerates billable hours., • Strong enterprise use cases across digital transformation, AI talent discovery, and workforce intelligence., • No-nonsense, high-performance culture suited to driven operators who thrive in fast-paced environments., • Fully remote working., • Compensation: £90k - £100k base + 25% OTE, with pension, healthcare, dental, and workspace budget. The Role: • Close six-figure deals with CTOs, Heads of Engineering, and other senior technical stakeholders within enterprise accounts, with champions typically in talent acquisition leadership., • Respond to RFIs and RFPs, ensuring high-quality, timely submissions., • Deliver tailored product demonstrations that showcase how the platform optimises technical hiring for speed, quality, and future readiness., • Analyse customers’ existing technical hiring workflows to align needs with platform capabilities., • Lead technical workshops and on-site assessments to evaluate solution compatibility and business impact., • Own all pre-sales documentation and collaborate with product and engineering teams to support bespoke solution design., • Use CRM and sales enablement tools to manage pre-sales engagement, forecasting, and pipeline activity., • Feed market and customer insights back to product and leadership teams to inform roadmap priorities and GTM strategy. Requirements: • Minimum 2 years’ experience in a technical pre-sales, solutions engineering, or customer-facing technical role., • Strong technical aptitude with the ability to translate complex concepts into clear business value., • Proven ability to collaborate closely with sales teams during the full deal cycle — from discovery to technical validation and close., • Skilled at running technical proof-of-concepts (POCs), demos, and workshops that align customer requirements with product capabilities., • Confident presenting to both technical and executive-level stakeholders., • Excellent written and verbal communication skills, including the ability to simplify and explain technical ideas clearly., • Comfortable managing multiple concurrent opportunities in a fast-paced, enterprise sales environment., • Familiarity with sales methodologies such as MEDDICC or Challenger is an advantage., • Willingness and ability to travel internationally to meet customers and build relationships., • Thrives in a startup environment: adaptable, proactive, and hands-on. Benefits: • £90k - £100k base + 25%., • Fully remote working., • Private health and dental., • The tech you need for a suitable home office.

About the Company We’re representing a well-established, award-winning dental laboratory based in Bolton, with over 30 years of success in delivering high-quality dental products and digital solutions. About the Role The Laboratory Leader will form part of a management team responsible for overseeing all aspects of site operations, leading a skilled team, driving performance, and ensuring the business achieves its growth and financial targets. This role requires a commercially minded leader with the ability to inspire, innovate, and deliver results in a fast-paced technical environment. Responsibilities • Drive Results: Lead the lab’s success by meeting and exceeding financial and operational goals with a strategic, growth-focused approach., • Business Strategy: Collaborate with senior leadership to develop and implement annual sales and profit plans that drive sustainable growth., • Team Leadership: Recruit, retain, and develop a high-performing team that embodies a culture of ambition, excellence, and continuous improvement., • Boost Efficiency: Identify and implement process improvements to enhance productivity, quality, and customer satisfaction., • Champion the Brand: Represent the organisation locally, ensuring compliance with quality assurance and Health & Safety standards., • Engage & Inspire: Promote a diverse, inclusive, and high-performance culture through effective communication and team engagement initiatives. Qualifications • Strong commercial acumen with a proven track record in driving business performance., • Experience in general management and leadership, ideally within a technical or manufacturing environment., • Demonstrated ability to lead, motivate, and develop teams toward shared goals., • Personal attributes: Ambitious, results-driven, inclusive, and a natural people leader. Required Skills • Strong commercial acumen., • Leadership experience in a technical or manufacturing environment., • Ability to lead and motivate teams. Preferred Skills • Dental industry background or GDC registration.

Are you passionate about creating advertising that not only informs but also transforms lives within the healthcare sector? At Havas Lynx, a global advertising agency at the forefront of healthcare communications, we combine unmatched creativity, extensive expertise, and a deep understanding of the pharmaceutical and healthcare field. Our communications resonate deeply with audiences and adhere to the highest standards of healthcare advertising. Committed to driving meaningful change—a change built on a foundation of rich experience, inspired by innovation, and confirmed through our proven track record—we work in close partnership with healthcare professionals, patients, carers, and leading pharmaceutical brands to navigate the complex challenges of today's healthcare landscape. Our approach blends strategic insights and deep scientific acumen with cutting-edge creativity and digital innovation, crafting campaigns and solutions that significantly improve people's lives. We’re proud to be recognised as the 2025 UK’s top healthcare and innovation agency at Cannes, where we’ve earned 2 Silver Lions, 1 Bronze Lion, and 6 shortlists - a testament to our creative excellence and impact. Our work has also been honoured with Gold and Silver at the Clio Health Awards, and we’ve taken home 5 coveted D&AD Pencils, celebrating our commitment to craft and innovation. We’re a team of over 400+ people in Manchester and London, with a history spanning over 35 years and an ever-evolving future. You can get a feel for the #LYNXLife through our YouTube #LYNXLife playlist, Instagram, Facebook, LinkedIn, and Twitter. Everything this company achieves—every life it saves, every penny it makes, every policy it changes, every award it wins—is down to everyone who works here. Please note that this role is based in Manchester, and our current hybrid working arrangement requires office attendance on Mondays, Tuesdays, and Thursdays. Summary of our role We’re on the lookout for a Senior Art Director to join our award-winning creative team. You’ll be responsible for delivering bold, intelligent, and visually compelling work that not only meets but exceeds client expectations. You’ll play a key role in shaping creative direction, mentoring junior talent, and pushing the boundaries of what’s possible in healthcare communications. What you can expect to be doing: • Leading the visual direction of multi-format campaigns across print, digital, and social platforms., • Collaborating with copywriters and strategists to develop original, insight-driven concepts., • Managing your own projects and accounts, ensuring timely, high-quality delivery within budget., • Providing creative direction during shoots and production, working closely with external partners., • Mentoring junior creatives and supporting their development through feedback and guidance., • Presenting ideas confidently to clients and internal teams, backed by strong storytelling and rationale., • Staying ahead of industry trends and proactively applying new thinking to your work., • Championing effectiveness and helping turn great work into award-winning submissions This role could be a great fit for you if: • You’re a visual storyteller with an award-winning portfolio that demonstrates conceptual thinking and craft excellence., • You thrive in a fast-paced, collaborative environment and are comfortable leading projects from ideation to execution., • You have a deep understanding of design principles, typography, UX/UI, and visual communication., • You’re passionate about mentoring others and fostering a positive, creative culture., • You’re commercially aware, strategically minded, and always looking for ways to elevate the work., • You’re curious, open to feedback, and committed to continuous learning and improvement., • Ideally, you have experience working with Generative AI tools and data, along with AI certifications from platforms such as Coursera, Section AI, or LinkedIn Learning What you can expect from us A supportive and challenging environment in which you will have the opportunity to learn, grow, and make an impact that matters. We put a huge investment into #LYNXLife and our #LXAcademy internal programmes. It’s a unique initiative that aims to reward hard work, reduce pressures, and ensure that we can all enjoy our time at Lynx. Our strategy is to build capabilities internally and inspire the best talent, so we can continue to deliver on our mission. You can also expect a whole host of benefits, including: • Hybrid Working – 3 days in the office (flexible working options are available for in-office days), • Starting holiday allowance of 28 days annual leave + Bank Holidays, with increasing allowance connected to length of service, • Option to buy, carry or sell holidays, • Early Friday finish throughout the year, • Seasonal working hours, • Enhanced family leave, pay and return to work benefit scheme, • Extensive L&D support, • Sabbatical opportunities, • Season ticket interest free loans for travel, • Cycle to work scheme, • Life insurance (4x salary), • Company pension scheme, • Fully compensated company events, • Volunteer days, • Wellbeing programme including sports clubs, discounted gym memberships, free onsite flu vaccinations, extended lunch breaks on Wellness Wednesdays and much more, • +Medicash healthcare benefit, • 24/7 access to a free, confidential and independent Employee Assistance Programme Get in touch to find out how we can make an impact that matters together.

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!

Our client, an innovative and fast-growing AdTech company, is seeking a Senior Product Manager to drive the next stage of their product evolution. This organisation is a leader in digital advertising protection and performance intelligence, helping global brands maximise ROI across Google PPC, PMAX, and Affiliate Marketing channels. The Role: Reporting directly to the Chief Product Officer, you will take full ownership of product strategy, MVP planning, and launch execution. You’ll also manage a Product Owner and collaborate closely with Engineering, Sales, Marketing, and Customer Success. You’ll help shape the roadmap as the business expands its offering across e-commerce, retail, travel, gaming, and financial services - building products that deliver measurable improvements in advertising performance and revenue impact. Key Responsibilities • Lead product strategy as the company evolves into optimisation and performance-focused solutions, • Own MVP definition, delivery, and market rollout, • Partner closely with Sales to ensure alignment with customer needs and commercial opportunities, • Deliver high-impact product launches with strong value propositions, • Present roadmaps, feature specs, and performance insights to internal and external stakeholders, • Maintain deep market and competitive intelligence across the AdTech ecosystem, • Manage and mentor a Product Owner, • Conduct customer discovery across multiple verticals, • Define and track KPIs related to adoption, performance, and satisfaction Desired Experience: • 5+ years of product management and 5+ years of AdTech experience (concurrent experience acceptable), • Strong track record launching successful B2B SaaS products, • Deep understanding of Google Ads, PPC, PMAX, affiliate ecosystems, and advertising optimisation, • Strong command of key advertising metrics (ROAS, CPC, CAC, CTR, CPM, CVR, LTV, etc.), • Experience with analytics tools such as Google Ads reporting; Looker or FullStory is a plus, • Exceptional communication skills across technical and non-technical audiences, • Experience managing direct reports, • Strong analytical mindset and data-driven decision-making, • Understanding of API integrations and Agile methodologies Bonus: • Experience building optimisation or AI/ML-powered AdTech solutions, • Background growing products across multiple verticals, • Industry thought leadership or published content, • Experience working with enterprise clients and complex sales cycles, • Previous startup or scale-up experience, • Google Ads certifications What's on offer: • Direct partnership with the Chief Product Officer, • Leadership responsibility with a growing team, • Opportunity to influence strategy in a rapidly scaling AdTech organisation, • Flexible/remote working environment, • A collaborative, high-performing culture

Engineering Manager, MLOps, 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, MLOps, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 Our Client is looking for an experienced MLOps Engineering Manager to lead and scale their MLOps function. You will be shaping how machine learning is developed, deployed, and scaled across the organisation. This is a genuinely high-impact role: you’ll lead a talented team of 6-8 engineers, set the strategic direction for ML infrastructure, and ensure the business continues to deliver reliable, scalable, and high-performing ML systems that drive real-world impact. Key Responsibilities for Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid, 1 Day PW, Up to £140,000 • Manage and develop a team of 8 MLOps engineers, fostering collaboration, high performance, and personal growth., • Define and deliver the MLOps roadmap, aligning closely with the wider engineering and data strategy., • Provide guidance on architecture, tooling, and best practices for ML pipelines, deployment, monitoring, and incident management., • Partner with data science, ML, and product teams to ensure infrastructure supports innovation and business needs., • Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient., • Take ownership of critical ML/infra incidents, ensuring swift resolution and continuous learning., • Deliver clear progress, risk, and priority updates to leadership in a concise and actionable way. Requirements for the role: • Proven experience leading an MLOps, ML Engineering, or Platform Engineering team., • Solid background in applied machine learning and a passion for platform disciplines., • Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management., • Knowledge of GPU computing for model training and serving., • Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab CI)., • Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed)., • Strong understanding of monitoring, logging, and observability for large-scale ML systems., • Experience in cost optimisation for compute/GPU workloads., • Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders., • Comfortable working in a fast-paced, collaborative environment with strategic and operational responsibilities., • Experience with vendor management and contract oversight., • Familiarity with tools such as Databricks, Tecton (or Feast), Seldon, or SageMaker. 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, MLOps, 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!

Engineering Manager, MLOps, 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, MLOps, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 Our Client is looking for an experienced MLOps Engineering Manager to lead and scale their MLOps function. You will be shaping how machine learning is developed, deployed, and scaled across the organisation. This is a genuinely high-impact role: you’ll lead a talented team of 6-8 engineers, set the strategic direction for ML infrastructure, and ensure the business continues to deliver reliable, scalable, and high-performing ML systems that drive real-world impact. Key Responsibilities for Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid, 1 Day PW, Up to £140,000 • Manage and develop a team of 8 MLOps engineers, fostering collaboration, high performance, and personal growth., • Define and deliver the MLOps roadmap, aligning closely with the wider engineering and data strategy., • Provide guidance on architecture, tooling, and best practices for ML pipelines, deployment, monitoring, and incident management., • Partner with data science, ML, and product teams to ensure infrastructure supports innovation and business needs., • Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient., • Take ownership of critical ML/infra incidents, ensuring swift resolution and continuous learning., • Deliver clear progress, risk, and priority updates to leadership in a concise and actionable way. Requirements for the role: • Proven experience leading an MLOps, ML Engineering, or Platform Engineering team., • Solid background in applied machine learning and a passion for platform disciplines., • Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management., • Knowledge of GPU computing for model training and serving., • Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab CI)., • Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed)., • Strong understanding of monitoring, logging, and observability for large-scale ML systems., • Experience in cost optimisation for compute/GPU workloads., • Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders., • Comfortable working in a fast-paced, collaborative environment with strategic and operational responsibilities., • Experience with vendor management and contract oversight., • Familiarity with tools such as Databricks, Tecton (or Feast), Seldon, or SageMaker. 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, MLOps, 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!

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!

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