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Job Title: Senior Digital Marketer Salary: Up to £45,000 per annum not pro rata (dependent on experience and qualifications) Location: Hybrid - 2 days Bolton office based. Contract: Permenant Hours: 37.5 hours per week, Monday - Friday 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. Job Purpose: We are seeking a results-driven Senior Digital Marketing Specialist to join our team. This role will focus on developing, implementing, and optimising digital marketing campaigns across various channels to increase brand awareness, drive engagement, and generate leads. The ideal candidate is creative, analytical, and up-to-date with the latest digital trends. What you'll do: • Develop and execute digital marketing campaigns across channels including social media, email, search engines (SEO/SEM), and display advertising., • Monitor and analyze campaign performance using analytics tools (Google Analytics, social media insights, etc.) and provide actionable insights., • Manage content creation, including blog posts, social media content, graphics, and videos, ensuring alignment with brand guidelines., • Optimise website and landing pages for SEO and conversion rate., • Plan and manage paid advertising campaigns (Google Ads, Facebook/Instagram Ads, LinkedIn Ads, etc.)., • Collaborate with internal teams to create consistent messaging and brand voice across all digital platforms. ESSENTIAL • Bachelor’s degree in Marketing, Communications, Business, or a related field., • At least 3-5 years experience in a similar role., • Proven experience in digital marketing, social media management, and/or content marketing., • Strong knowledge of SEO, SEM, social media platforms, email marketing, and analytics tools., • Excellent written and verbal communication skills., • Creative thinker with strong attention to detail. Ability to manage multiple projects and meet deadlines. DESIRABLE • Experience with marketing automation tools (e.g., HubSpot, Mailchimp)., • Graphic design or video editing skills (Adobe Creative Suite, Canva, etc.). 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.

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!

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

Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000.Our client is an extremely well know, digital marketplace focused on sustainable ecommerce.With over 35 million of active users globally, they’re redefining ho

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!

Transition your expertise into a self-directed, flexible career. Are you an experienced Account Manager who excels at managing relationships, driving outcomes, and solving problems — but feels constrained by corporate structures, rigid schedules or limited autonomy? This allows you to apply your relationship-management expertise in a flexible, remote, self-directed role where personal growth, purpose and impact are central to what you do. About the Company We are a global organisation operating in the personal development and success education industry, delivering award-winning digital programmes and in person events that support individuals in achieving meaningful personal and professional growth. Due to expansion, we are seeking professionals ready to step into a more autonomous way of working. The Role This is ideal for Account Managers ready to move beyond the traditional corporate 9 – 5 and into a performance-led, self-managed environment. You’ll work independently, leveraging your strengths in client communication, relationship building, planning and follow-up — while developing modern, future-ready skills in digital engagement and online business systems. This is not a salaried account management role. Instead, it offers a pathway to greater flexibility, ownership and alignment between your career and lifestyle goals. What you’ll be doing: • Building and nurturing professional relationships using proven digital tools, • Engaging with individuals exploring career growth and self-leadership, • Applying structured systems and marketing frameworks to expand reach, • Leading by example through on-going personal and professional development This Role is ideal for you if you: • Have experience in account management, client services or relationship-led roles, • Are self-motivated, organised and comfortable managing your own schedule, • Value autonomy, flexibility and results over rigid processes, • Are open to learning modern digital tools and online communication strategies, • Want your work to create genuine, measurable impact What sets this apart?: • Remote based role (within eligible regions) - using your phone, laptop and secure internet connection - on your own schedule, • A self-directed, performance-based role aligned with a purpose-led global organisation, • Comprehensive training, systems and on-going mentorship, • Transferable skills in digital communication, strategy and online platforms, • Rewards based on initiative, leadership and outcomes — not hours logged This is not a traditional job. It’s suited to Account Managers ready to leverage their experience in a new way - without starting over - while gaining flexibility, fulfilment and long-term growth. Apply now to learn more. By applying, you consent to being contacted by Simply4You via message, email or phone for an initial conversation.

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. Our client is an extremely well know, digital marketplace focused on sustainable ecommerce. The Role of Engineering Manager, Machine Learning, Marketplace, Ecom

Our client, a membership association in Lutterworth, are looking for a Digital Learning Officer to fulfil project needs through the design and development of innovative digital learning resources.

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Direct message the job poster from WRK digital. You’ll apply your expertise in software engineering and machine learning to transform manual workflows into automated systems powered by AI. This range is provided by WRK digital.

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Digital Marketing Manager – what you’ll be up to includes:. Website and digital strategy – oversee content, strategy and tracking of our websites. Develop and maintain the overall digital strategy and budget for our online presence.

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Manage training assignments, curricula updates, and digital learning assets within the LMS (ComplianceWire required; Veeva/other LMS experience a plus). Upload, test, validate, and maintain digital learning content to ensure assets function as expected and remain compliant. Maintain metadata, versio

As our Digital Learning Administrator, you will support the Academys E-Learning team in the development, delivery, and administration of online courses. This role is ideal for a detail-oriented and organised individual who is keen to develop their skills in e-learning content management and digital

A thriving digital growth agency in Covent Garden is hiring for entry-level account executive roles.

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A leading learning design agency is seeking passionate Learning Experience Designers and Digital Learning Designers to create quality, bespoke learning experiences. Ideal candidates will exhibit creativity and possess experience in digital learning design, along with a relevant degree. This opportun

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A leading company in digital learning is seeking a Digital Learning & Innovation Partner to enhance the end-user experience through innovative technologies. The successful candidate will lead LMS development and work with stakeholders to create effective learning programmes.

A leading charity in the UK is seeking an experienced Instructional Designer to join its Digital Learning team on a 12-month fixed-term contract. In this role, you will create engaging and accessible digital learning content that empowers staff and volunteers. Your responsibilities include understan

The primary responsibility of the Digital Skills Tutor will be to design and deliver high quality, learner-centred teaching, and learning and assessment experiences to our employed and unemployed adult learners from Entry level to Level 1, while supporting the Adult and Community Learning Manager to

Upload, test, validate, and maintain digital learning content to ensure assets function as expected and remain compliant. Maintain metadata, version control, and archival processes for digital learning materials. Familiarity with Veeva PromoMats, LMS validation, or digital learning publishing tools.

Our teams work in education consultancy, professional development, early-years & primary tutoring, digital learning and publishing to improve learning for everyone. Learning and Digital Design Professionals. Call out to forward-thinking, learning and digital design professionals in the Corporate and

A leading IT consultancy is looking for a SAP Consultant/Digital Learning Specialist to provide support for SAP applications and deliver digital transformation training.

A community organization in Kensington is seeking an experienced Adult Learning Tutor to deliver accredited and non-accredited Digital Skills courses.

A technology consulting firm in Manchester is looking for a dynamic Talent Growth Partner to design and deliver engaging learning experiences. Key responsibilities include managing learning programs and utilizing various educational tools. Candidates should demonstrate excellent communication skills

We are seeking an experienced Digital Learning Consultant to support the development and optimisation of eLearning content across our firm. Collaborate with subject‑matter experts to translate complex content into engaging digital learning experiences. Digital Learning Consultant (FTC 6 months).

Olive Jar Digital is seeking a Machine Learning Engineer to help design, build, and refine AI prototypes across multiple Discovery and Alpha initiatives.

LLMs will be your bread and butter, customized with advanced RAG techniques, finetuning and reinforcement learning. Work to help LLMs understand and interact with the millions of lines of code that run Kraken, leveraging techniques at the cutting-edge of the technology like GraphRAG, agentic workflo

A collaborative educational institution in the UK is seeking a Learning Resource Designer to support and develop engaging digital learning materials and enhance staff and student engagement with learning technologies. This role involves training on the Virtual Learning Environment and collaborating

Ideal candidates will have experience in digital learning design and a creative approach to building impactful learning experiences. A leading learning organization in Manchester is looking for Learning and Digital Design Professionals.