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We are really proud to say that in 2025, Outcomes First Group were officially certified as a ‘Great Place to Work’ for the sixth year running We’re reimagining work/life balance – and you could be part of it. At OFG, we're proud to be part of the 4-Day Working Week trial – a bold step toward giving our teams more time to recharge, refresh, and enjoy life outside of work. That means you could be working 80% of your usual hours, while still earning 100% of your pay. Job Title: Procurement Manager Location: Bolton (Hybrid working 2 days in the office) Contract: Permanent Hours: 37.5 hours per week, Mon-Fri 9-5 Salary: Up to £55,000 per annum (dependent on experience and qualifications) About Us At Outcomes First Group, we believe every child can thrive when given the right environment for success. As one of the world’s leading providers in our sector, we deliver exceptional, research-led education tailored to each individual, with smaller class sizes and personalised learning plans. Our vision is to empower every child with a world-class education that nurtures potential and inspires lifelong learning. Our mission is to unlock that potential through personalised learning and opportunity. And our promise is simple: we listen, we work together, and we are accountable to one another to make the remarkable happen. The Role: As Procurement Manager, you will lead the procurement function across multiple categories including infrastructure, fleet management, and operational resources. You will be responsible for ensuring procurement activities meet high standards of quality, compliance, sustainability and cost-effectiveness, while aligning with strategic growth objectives. What you'll do: • Lead, plan, and coordinate procurement exercises across the business in a cost-effective and efficient way., • Lead procurement for new site openings, including sourcing of, equipment, utilities, and vehicles., • Manage and develop the procurement team, providing leadership, guidance, and support to ensure high performance and continuous improvement., • Ensure all procurement processes adhere to internal policies and external regulatory requirements., • Monitor supplier performance and ensure delivery of goods and services meets quality standards., • Carry out due diligence checks on suppliers to ensure compliance and quality standards., • Maintain supplier databases, contracts registers, and succession planning strategies., • Oversee tenders, price reviews, and onboarding of new suppliers., • Collaborate with internal stakeholders to forecast needs and align procurement with operational plans., • Management of the whole fleet including ordering of new vehicles, on-going support and vehicle de-fleet and reallocation processes., • Management of procurement reports to track suppliers and costs, • Negotiate supplier contracts, ensuring favourable terms and value for money., • Proven experience in procurement management, ideally within education, healthcare, or multi-site operations., • Strong understanding of compliance frameworks, quality assurance, and sustainability requirements in procurement., • Strong commercial acumen and negotiation skills., • Ability to manage multiple projects and priorities., • Excellent stakeholder engagement and communication skills., • Familiarity with procurement systems and compliance frameworks., • Strong analytical skills with the ability to interpret data and drive decisions. About the Group Outcomes First Group is the largest independent provider of high quality special needs education and care. We are a vital part of local communities in England, Scotland and Wales with a renowned reputation for quality and positive outcomes for the people we educate and care for. We are really proud to say that in 2024, Outcomes First Group were officially certified as a ‘Great Place to Work’ for the fifth year running. Our divisional brands include Acorn Education, Options Autism, Blenheim Schools and Momenta Connect. Our Vision Empower every child, whatever their ability, with a world-class education that nurtures potential, inspires lifelong learning, and equips them to thrive in a diverse and evolving world. Our Mission We commit to unlocking our pupils’ potential through personalised learning, innovation, and opportunity, supporting growth and aspirations. Our Promise We Listen. We never assume. We work together. To make the remarkable happen. We are accountable. To each other and for one another. Benefits Your health and wellbeing are important to us, so you’ll get an exceptional reward package including: • Life Assurance, • Pension scheme with options to increase your contributions, • “Your Wellbeing Matters” – access to a wide range of first-class mental health support services and physical health checks, • A wide range of health, wellbeing, and insurance benefits, • 100’s of discount options valid in the UK and abroad, • Cycle to Work Schemes, • Electric Car Purchase Scheme All applicants will be subject to social media checks and successful applicants to a fully enhanced DBS We are an Equal Opportunities Employer. Please note: 4DWW is subject to successful completion of your probation period and is not a contractual benefit. We reserve the right to close the vacancy early if we receive a high volume of suitable applications. Outcomes First Group is committed to carrying out a fair, thorough and efficient recruitment process in line with Keeping Children Safe in Education. Whilst we aim to keep applicants informed throughout, Outcomes First Group does not accept liability for any loss of earnings or other associated costs incurred by applicants as a result of delays or changes in the compliance process. All stages of the compliance process are subject to necessary safeguarding checks and compliance with statutory requirements, which may affect timescales.

We are really proud to say that in 2025, Outcomes First Group were officially certified as a ‘Great Place to Work’ for the sixth year running. We’re reimagining work/life balance – and you could be part of it. At OFG, we're proud to be part of the 4-Day Working Week trial – a bold step toward giving our teams more time to recharge, refresh, and enjoy life outside of work. That means you could be working 80% of your usual hours, while still earning 100% of your pay. Job Title: Senior Financial Planning & Analysis (FP&A) Manager – Systems & Reporting Lead Salary: £70,000 - £75,000 Per Annum Depending on Experience Location: Bolton (Hybrid working office based 2 days per week) Contract: Permanent Hours: 37.5 hours per week, Mon-Fri 9-5 About Us At Outcomes First Group, we believe every child can thrive when given the right environment for success. As one of the world’s leading providers in our sector, we deliver exceptional, research-led education tailored to each individual, with smaller class sizes and personalised learning plans. Our vision is to empower every child with a world-class education that nurtures potential and inspires lifelong learning. Our mission is to unlock that potential through personalised learning and opportunity. And our promise is simple: we listen, we work together, and we are accountable to one another to make the remarkable happen. The role: Deliver high-quality forecasting, analysis and BI-enabled reporting that drive business performance. Act as a trusted FP&A manager, financial modeller and systems and insight lead. providing clear, actionable insight that supports divisional and Group decision-making. The role has a strong focus on data, systems, reporting and performance insight, ensuring senior leaders have access to clear, timely and decision-ready information. What you'll do: Financial Performance & Analysis • Lead periodic management reporting and BI-driven performance analysis, ensuring timely, accurate and consistent results to internal stakeholders., • Support senior leadership with data-led insight, challenge and recommendations aligned to strategic and operational objectives., • Manage KPI reporting and performance dashboards for relevant divisions, highlighting trends, risks and opportunities., • Build and maintain robust financial and performance models to support initiatives and business cases., • Provide variance analysis vs budget/forecast with clear narrative, visualisation and actions., • Coordinate and deliver the UK annual budgeting cycle with the FP&A team, supported by system-driven planning and BI reporting outputs., • Drive the quarterly reforecast process in partnership with Finance and BI to improve forecast accuracy, automation and efficiency., • Maintain and improve the planning model and underlying KPI assumptions to ensure data integrity, consistency and alignment across systems., • Support the implementation and enhancement of BI, planning and finance systems for reporting, budgeting and modelling in partnership with the Head of FP&A and BI., • Continuously improve processes, standardise reporting packs, strengthen data governance and automate repeatable tasks., • Manage distribution, access and governance of dashboards, reports and performance outputs through systems and automation., • Build strong working relationships with senior leaders and operational teams; act as the first point of contact for FP&A, reporting and BI-related queries within remit., • Provide timely monthly reports and interactive dashboards (with BI support) and improve financial and data awareness through guidance and training where needed. Essential • Fully qualified accountant (CIMA / ACCA / ACA or equivalent)., • 5+ years’ FP&A / Commercial Finance experience, with significant exposure to BI, systems or performance reporting., • Advanced financial modelling, budgeting and forecasting (Excel and BI tools)., • Strong analytical problem-solving skills with high attention to detail and data quality., • Ability to present complex financial and performance information clearly to senior stakeholders; strong executive-ready slide and dashboard storytelling skills (PowerPoint)., • Experience improving and standardising BI reporting processes, automation and dashboard delivery., • Exposure to tools such as Planning Analytics, Power BI, Tableau or Cognos., • Experience working with finance or reporting systems implementations., • Experience in a PE-backed environment. About the Group Outcomes First Group is the largest independent provider of high quality special needs education and care. We are a vital part of local communities in England, Scotland and Wales with a renowned reputation for quality and positive outcomes for the people we educate and care for. We are really proud to say that in 2024, Outcomes First Group were officially certified as a ‘Great Place to Work’ for the fifth year running. Our divisional brands include Acorn Education, Options Autism, Blenheim Schools and Momenta Connect. Our Vision Empower every child, whatever their ability, with a world-class education that nurtures potential, inspires lifelong learning, and equips them to thrive in a diverse and evolving world. Our Mission We commit to unlocking our pupils’ potential through personalised learning, innovation, and opportunity, supporting growth and aspirations. Our Promise We Listen. We never assume. We work together. To make the remarkable happen. We are accountable. To each other and for one another. Benefits Your health and wellbeing are important to us, so you’ll get an exceptional reward package including: • Life Assurance, • Pension scheme with options to increase your contributions, • “Your Wellbeing Matters” – access to a wide range of first-class mental health support services and physical health checks, • A wide range of health, wellbeing, and insurance benefits, • 100’s of discount options valid in the UK and abroad, • Cycle to Work Schemes, • Electric Car Purchase Scheme All applicants will be subject to social media checks and successful applicants to a fully enhanced DBS. We are an Equal Opportunities Employer. We reserve the right to close the vacancy early if we receive a high volume of suitable applications. Outcomes First Group is committed to carrying out a fair, thorough and efficient recruitment process in line with Keeping Children Safe in Education. Whilst we aim to keep applicants informed throughout, Outcomes First Group does not accept liability for any loss of earnings or other associated costs incurred by applicants as a result of delays or changes in the compliance process. All stages of the compliance process are subject to necessary safeguarding checks and compliance with statutory requirements, which may affect timescales. Please note: 4DWW is subject to successful completion of your probation period and is not a contractual benefit.

MACHINE SHOP MANAGER COMPANY OVERVIEW Our client is a globally known provider of high performance, high protection systems. The company are a renowned international service provider, with a long history of working with the most demanding industries. They have a proven track record of being at the forefront of innovation and work with all emerging markets, ensuring the customers requirements are met ... ZIPC1_UKTJ

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!

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!

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!

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!

As our EHS Manager at our Bolton site you will be responsible for the Health & Safety for the manufacturing site, alongside the senior management team. This position is ideal for someone with experience working as a EHS Manager for the last few years or someone as a Senior EHS Advisor looking for the next opportunity. We offer a supportive environment where safety is key, growth and career development, an attractive compensation programme and the opportunity to work within a Global organization. In this role you will be accountable for... Lead and continuously improve site EHS standards, ensuring legal compliance and safe ways of working. Drive audits, incident investigations and action plans to strengthen safety performance. Partner with site leaders, employees and Corporate/Regional EHS teams to improve culture and share best practices. Oversee EHS reporting, training, communication and engagement activities. Coordinate emergency preparedness, contractor management and regulatory interactions. Support the development and performance of the local EHS team. The skills and experience we are ideally looking for... Bachelors degree in Environmental Studies, Health and Safety and/or NBOSH qualifications EHS experience within a manufacturing environment including managing comprehensive health, safety, and environmental programs. Previous experience applying specialised knowledge in an area of health, environmental, and safety programs. Experience leading site procedural and operational audits. Previous experience developing and implementing programs, policies, and procedures Excellent interpersonal skills / people orientated Our offer Work life balance Competitive compensation programme Bonus plan Private medical insurance Career growth opportunities in a truly international environment Innovation leaders in the protective coatings industry Sherwin Academy offers continuous training programmes for all seniority levels Attractive wellbeing, mental health, women & inclusion and ID&E programmes At Sherwin-Williams, our purpose is to inspire and improve the world by coloring and protecting what matters. Our paints, coatings and innovative solutions make the places and spaces in our world brighter and stronger. Your skills, talent and passion make it possible to live this purpose, and for customers and our business to achieve great results. Sherwin-Williams is a place that takes its stability, growth and momentum and translates it to possibility for our people. Our people are behind the strength of our success, and we invest and support you in: Life with rewards, benefits and the flexibility to enhance your health and well-being Career with opportunities to learn, develop new skills and grow your contribution Connection with an inclusive team and commitment to our own and broader communities It's all here for you... let's Create Your Possible Eligibility to Work You will need to provide proof of right to work. It is a condition of any offer of employment we make to you that you have the permission to work in the country for the role for which you are applying for. Equal Opportunity Employer An equal opportunity employer, all qualified applicants will receive consideration for employment and will not be discriminated against based on race, colour, religion or belief, gender, sexual orientation, gender identity, ethnic or national origin, disability, age pregnancy or maternity, marital or civil partner status, or any other protected characteristic prohibited by law. Please be aware, Sherwin-Williams recruiting team members will never request a candidate to provide a payment, ask for financial information, or sensitive personal information like national identification numbers, date of birth, or bank account numbers during the application process. TPBN1_UKTJ

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