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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. If the trial proves successful, we’ll roll out the 4DWW across the Group – making now the perfect time to join #TeamOFG and help shape the future of work. 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.

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!

Registered Care Home Manager Care home: Lakeview Care Home Contract type: Full Time, 40 hours per week. Rate: Competitive salary-dependent on experience Due to internal progression, we have an exciting opportunity to join us as our new Home Manager at Lakeview Care home in Leigh. Lakeview was rated Good by the CQC in October 2025, giving you the opportunity to build on previous success and aim to deliver outstanding care for our residents! This role offers you the opportunity to shape your own service and team, and really make a difference to people’s lives in a purpose built, state of the art home. We have innovative digital systems to support you in all aspects of running your home, so you can spend less time doing paperwork and more time with your team and the people you support. For Managers wishing to develop and grow, our training is second to none. We have a range of in-house leadership and management development programmes to support your career development. About Lakeview Located in Leigh, Lakeview has 30 bedrooms thoughtfully divided into three small, purpose-built units, each designed to provide highly personalised, nurse-led care for adults with complex needs. This structure allows the home to offer a calm, supportive environment where care is tailored to both clinical requirements and individual lifestyles. Firetree Unit is a female-only unit supporting adults with complex mental health needs, dementia, and physical disabilities. Care is delivered in a structured yet homely setting, with a strong emphasis on personalised routines, emotional wellbeing, and maintaining independence wherever possible. Bridgewater Unit is a male-only unit specialising in dementia care, including support for individuals who may experience behaviours of concern. Staff are trained in positive behaviour support approaches, focusing on dignity, engagement, and meaningful daily activity as cognitive needs progress. Pennington Unit, also male-only, supports adults with complex mental health needs and neurological conditions such as Huntington’s disease. This unit provides specialist nursing care that addresses both the physical and psychological aspects of long-term and progressive conditions, ensuring residents receive consistent, expert support in a stable environment. About the role As a Home Manager with Exemplar Health Care, you won’t just manage your home, you’ll be the heartbeat of everything that happens there. You’ll be given a great deal of autonomy and will lead by example, driving your team and pushing for continuous improvement daily. You’ll provide person-centred and quality driven care to ensure that you make every day better for the people who live and work in your home. This is both an inward and outward focused position, demanding attention to multiple factors, including but not limited to: • quality initiatives and improvement, • team leadership and management, • recruitment and colleague development, • referral management and occupancy, • data collection, analysis and interpretation, • financial management, • customer relationships and marketing to ensure business sustainability and success. About you Above all, you’re someone who identifies with our Exemplar Health Care values of fun, integrity, responsiveness, success and teamwork. You must also have a first-level nursing registration with a valid Nursing and Midwifery Council (NMC) PIN. As this is a leadership role, you should have a minimum of three years management experience, ideally in a complex care setting. You will have previous experience in achieving good or outstanding outcomes with the CQC, ensuring exceptional care for the individuals we support. You’re also someone with: • a thorough understanding of nursing care best practice, sector specific and employer legislation and governance frameworks, • great communication skills, able to build relationships with local commissioners and professionals, • the ability to inspire, lead and manage a team, • excellent time management skills, able to manage conflicting priorities and meet deadlines, • an excellent range of clinical, business, digital and operational skills. What we offer We offer great rewards and perks including: • excellent supervision, peer support, learning opportunities and career prospects, • retail and lifestyle reward discounts, • excellent bonus scheme upon meeting KPIs, • excellent pension plan, • Bupa health care cover, • electric car salary sacrifice scheme, • paid NMC membership, • paid access to the RCNi Learning platform, • 24/7 counselling and support, • Blue Light Card eligibility. How to apply Sound good? We’d love to hear from you. Click the button to ‘APPLY NOW’. For an informal chat about joining us, you can call our Nurse Talent Specialist Craig on 07506991913, or email Please note, this role is not eligible for sponsorship. Candidates without an existing visa or right to work in the UK are unlikely to be suitable for the post.

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!

Workshop Engineer - Foodservice Equipment Location: Bolton Join a Family Business That Puts People First - and Wins Awards Doing It My client is on the lookout for a hands-on, switched-on Workshop Engineer to join their close-knit team at their Bolton head office due to one of their engineers retiring. They're a proudly family-owned business with a big reputation for quality, reliability, and doing things the right way-and the industry awards to back it up. If you're looking for more than just a job and want to work somewhere that truly values its people, this could be exactly what you're after. What You'll Be Doing: You'll be servicing and repairing a wide range of commercial foodservice equipment-gas, electric, warewashing, and refrigeration-right in the workshop at my client's Bolton HQ. You'll be part of a solid team that takes pride in getting things right before the equipment heads out to customers across the UK. You'll report to the Workshop Manager and work closely with the technical and projects teams, so your skills and contributions will always be seen and valued. What They're Looking For: Hands-on experience with gas/electric catering equipment, warewashers, counter fridges, etc. (Backgrounds in commercial kitchens, white goods, or technical servicing all considered) A practical problem-solver with a can-do attitude Detail-focused and well-organised-you can handle multiple jobs without breaking a sweat A team player who shares knowledge and is always up for learning Good communication skills and a strong sense of pride in your work COMCAT gas qualifications and microwave testing are a bonus-but training can be provided for the right person What's In It for You: Genuine career development with training and long-term growth 20 days holiday + bank holidays, plus an extra day each year you stay (up to 4 additional days) Your birthday off-on them, just to say thanks Company pension and sick pay A friendly, supportive team where you're not just a number Ready to Make Your Move? If you're a skilled engineer with an eye for detail and want to be part of a business that supports its people, this could be the perfect next step. For a confidential chat call Jo or email your CV to apply. TPBN1_UKTJ

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