TWG Global AI
At TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries, including financial services, insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI first, cloud native approach delivers real time intelligence and interactive business applications, empowering informed decision making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role As a Senior Associate, Machine Learning Engineer, you'll work alongside experienced ML engineers and data scientists to design, build, and scale machine learning systems that deliver real business value. Reporting to the Executive Director of ML Engineering, you'll gain hands on experience developing production grade pipelines, monitoring frameworks, and scalable ML applications that support mission critical business functions. This is a high growth opportunity for someone with early industry experience (or strong academic grounding) in machine learning engineering, eager to deepen their expertise in production systems and MLOps while growing within a dynamic AI team operating at the frontier of applied ML. Key Responsibilities Contribute to the design, development, and deployment of ML models and pipelines across business critical domains such as financial services and insurance. Support production efforts, including model packaging, integration, CI/CD deployment, and monitoring for performance, drift, and reliability. Collaborate with senior engineers to build internal ML engineering tools and infrastructure that improve training, testing, and observability workflows. Partner with Data Scientists to operationalize prototype models, ensuring they are scalable, robust, and cost efficient in production. Work with large scale datasets to enable feature engineering, transformation, and quality assurance within ML pipelines. Implement monitoring dashboards, alerts, and diagnostics for model health and system performance. Contribute to documentation, governance, and reproducibility practices, supporting compliance in regulated environments. Qualifications 5+ years of experience building and deploying machine learning models in production environments, with exposure to monitoring and diagnostics. Solid understanding of machine learning engineering fundamentals (pipelines, deployment, monitoring) and familiarity with data science workflows. Experience with MLOps tools such as MLflow, Weights & Biases, or equivalent. Exposure to observability/monitoring systems (Prometheus, Grafana, ELK, Datadog) is a plus. Proficiency in Python and familiarity with ML libraries (scikit learn, XGBoost, TensorFlow, PyTorch). Strong experience with data manipulation and pipelines using Pandas, NumPy, and SQL. Knowledge of containerized deployments (Docker, Kubernetes) and cloud ML services (AWS SageMaker, GCP Vertex AI, or Azure ML) preferred. Excellent problem solving skills, eagerness to learn, and ability to thrive in a fast paced, evolving environment. Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical field. Strong written and verbal communication skills, with the ability to explain technical details to both technical and business stakeholders. Preferred experience Hands on experience with Palantir platforms (Foundry, AIP, Ontology), including deploying and integrating ML solutions in enterprise ecosystems. Familiarity with vector databases (FAISS, Pinecone, Milvus, Weaviate) and LLM engineering workflows. Exposure to graph databases (Neo4j, TigerGraph) and their application in AI/ML systems. Work at the forefront of AI/ML innovation in life insurance, annuities, and financial services. Drive AI transformation for some of the most sophisticated financial entities. Competitive compensation, benefits, future equity options, and leadership opportunities. This is a hybrid position based in the United Kingdom. We offer a competitive base pay + a discretionary bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits. TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
At TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries, including financial services, insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI first, cloud native approach delivers real time intelligence and interactive business applications, empowering informed decision making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role As a Senior Associate, Machine Learning Engineer, you'll work alongside experienced ML engineers and data scientists to design, build, and scale machine learning systems that deliver real business value. Reporting to the Executive Director of ML Engineering, you'll gain hands on experience developing production grade pipelines, monitoring frameworks, and scalable ML applications that support mission critical business functions. This is a high growth opportunity for someone with early industry experience (or strong academic grounding) in machine learning engineering, eager to deepen their expertise in production systems and MLOps while growing within a dynamic AI team operating at the frontier of applied ML. Key Responsibilities Contribute to the design, development, and deployment of ML models and pipelines across business critical domains such as financial services and insurance. Support production efforts, including model packaging, integration, CI/CD deployment, and monitoring for performance, drift, and reliability. Collaborate with senior engineers to build internal ML engineering tools and infrastructure that improve training, testing, and observability workflows. Partner with Data Scientists to operationalize prototype models, ensuring they are scalable, robust, and cost efficient in production. Work with large scale datasets to enable feature engineering, transformation, and quality assurance within ML pipelines. Implement monitoring dashboards, alerts, and diagnostics for model health and system performance. Contribute to documentation, governance, and reproducibility practices, supporting compliance in regulated environments. Qualifications 5+ years of experience building and deploying machine learning models in production environments, with exposure to monitoring and diagnostics. Solid understanding of machine learning engineering fundamentals (pipelines, deployment, monitoring) and familiarity with data science workflows. Experience with MLOps tools such as MLflow, Weights & Biases, or equivalent. Exposure to observability/monitoring systems (Prometheus, Grafana, ELK, Datadog) is a plus. Proficiency in Python and familiarity with ML libraries (scikit learn, XGBoost, TensorFlow, PyTorch). Strong experience with data manipulation and pipelines using Pandas, NumPy, and SQL. Knowledge of containerized deployments (Docker, Kubernetes) and cloud ML services (AWS SageMaker, GCP Vertex AI, or Azure ML) preferred. Excellent problem solving skills, eagerness to learn, and ability to thrive in a fast paced, evolving environment. Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical field. Strong written and verbal communication skills, with the ability to explain technical details to both technical and business stakeholders. Preferred experience Hands on experience with Palantir platforms (Foundry, AIP, Ontology), including deploying and integrating ML solutions in enterprise ecosystems. Familiarity with vector databases (FAISS, Pinecone, Milvus, Weaviate) and LLM engineering workflows. Exposure to graph databases (Neo4j, TigerGraph) and their application in AI/ML systems. Work at the forefront of AI/ML innovation in life insurance, annuities, and financial services. Drive AI transformation for some of the most sophisticated financial entities. Competitive compensation, benefits, future equity options, and leadership opportunities. This is a hybrid position based in the United Kingdom. We offer a competitive base pay + a discretionary bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits. TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
encompass corporation
City, Glasgow
Principal AI Engineer Department: Engineering Employment Type: Full Time Location: Glasgow Description Encompass enables fast, accurate identity validation and verification of corporate customers, and a gold standard approach to KYC. Our award-winning corporate digital identity (CDI) platform incorporates real-time data and documents from authoritative global public data sources and private customer information, to create and maintain digital risk profiles. Utilizing the expertise of a global transformation team of KYC and banking industry experts, as well as strategic data, technology and consulting partnerships, enables seamless integration of Encompass into existing workflows and systems. With Encompass the world's leading banks improve customer experience and increase business opportunities through consistent regulatory compliance and risk mitigation. With offices in Amsterdam, Glasgow, London, New York, and Sydney, we are a rapidly growing international company offering a chance to be part of our success - read on if you think you're up for the challenge. About the role We are seeking a technically hands-on Principal Engineer to define and execute our AI and data science strategy. You'll work at the intersection of AI research and product engineering to build intelligent, trustworthy systems that transform how financial institutions meet compliance and regulatory obligations. This is a leadership role that requires deep technical expertise, strategic thinking, and the ability to build and grow a high-performing key area of the business. Key Responsibilities Strategic Leadership Define and lead the AI and data science strategy across Encompass products, aligned with our vision for intelligent KYC automation. Partner with Product, Engineering, and Executive teams to identify opportunities for AI-driven innovation, especially around data acquisition and reasoning. Agentic AI Development Architect and lead the development of a cutting-edge agentic AI system for intelligent data discovery, extraction, and decision-making. Oversee the integration of LLMs, knowledge graphs, retrieval-augmented generation (RAG), and reinforcement learning for autonomous task execution. Champion the application of explainable and trustworthy AI principles in all solutions. Hands-on Technical Leadership Serve as a player-coach-writing code, prototyping models, conducting experiments, and reviewing designs. Establish best practices for data science, MLOps, and model deployment at scale. Guide the selection of AI technologies, platforms, and tooling. Team Building & Mentorship Mentor team members and the broader business, fostering a culture of curiosity, experimentation, and continuous learning. Collaboration & Communication Communicate complex technical concepts to business stakeholders and influence product strategy. Represent Encompass in thought leadership forums and industry discussions on AI in RegTech and compliance. Skills, Knowledge and Expertise Lets get the technical stuff out the way first, your past experience as an Engineer will include working with: Proven experience in data science, AI, or ML roles with increasing leadership responsibility (people management experience not required). Deep expertise in building intelligent systems with one or more of the following: LLMs, agent frameworks, RAG, knowledge representation, or autonomous data pipelines. Strong programming and software engineering skills (Python preferred; familiarity with cloud-native and MLOps tools). Demonstrated experience in building and deploying AI systems in production environments. Strong understanding of data governance, bias, fairness, and regulatory considerations in AI. Experience in the financial services, RegTech, or compliance domain is a strong plus. Advanced degree (PhD or MSc) in Computer Science, Data Science, AI, or a related field. Cultural add is as equally as important to us a technical skills, our teams are full of people who: Think in terms of a 3-5 year future time horizon, helping others to see what's down the road, and what the implications are for now. Support hiring our most senior engineering people. Care about, and is involved in the wider business strategy; doesn't just have a pure engineering focus. Ideally the person would also be able to contribute directly to the business strategy. Able to provide actionable direction to teams of multiple stakeholders even in the most challenging of situations. Effective at creating and getting buy in for a multi year technology strategy across the company, from Board level to individual engineers. Able to make and communicate difficult decisions when necessary. Lead by example to proactively foster an inclusive, diverse, and positive engineering culture across the business. We offer a rewarding and challenging place to work, a transparent and collaborative culture and a well rounded benefits package. Below are some of what we currently offer: Participation in our industry leading share options scheme Private Medical Plan 20 days a year Work From Anywhere policy for all staff Flexible first working policy Enhanced annual, personal and parental leave schemes. Paid volunteering leave programme Employer recognition and employee assistance programmes Equal Opportunities We are committed to fostering a diverse and inclusive workplace where everyone feels valued and empowered to thrive. We welcome applications from individuals of all backgrounds, regardless of race, ethnicity, gender, sexual orientation, age, disability, religion, or any other protected characteristic. If you require any adjustments during the recruitment process to ensure an equitable experience, please let us know. Join us in creating an environment where everyone can contribute their best work. Please note, we are not looking for agency assistance on these roles and will not accept any speculative CVs shared.
Principal AI Engineer Department: Engineering Employment Type: Full Time Location: Glasgow Description Encompass enables fast, accurate identity validation and verification of corporate customers, and a gold standard approach to KYC. Our award-winning corporate digital identity (CDI) platform incorporates real-time data and documents from authoritative global public data sources and private customer information, to create and maintain digital risk profiles. Utilizing the expertise of a global transformation team of KYC and banking industry experts, as well as strategic data, technology and consulting partnerships, enables seamless integration of Encompass into existing workflows and systems. With Encompass the world's leading banks improve customer experience and increase business opportunities through consistent regulatory compliance and risk mitigation. With offices in Amsterdam, Glasgow, London, New York, and Sydney, we are a rapidly growing international company offering a chance to be part of our success - read on if you think you're up for the challenge. About the role We are seeking a technically hands-on Principal Engineer to define and execute our AI and data science strategy. You'll work at the intersection of AI research and product engineering to build intelligent, trustworthy systems that transform how financial institutions meet compliance and regulatory obligations. This is a leadership role that requires deep technical expertise, strategic thinking, and the ability to build and grow a high-performing key area of the business. Key Responsibilities Strategic Leadership Define and lead the AI and data science strategy across Encompass products, aligned with our vision for intelligent KYC automation. Partner with Product, Engineering, and Executive teams to identify opportunities for AI-driven innovation, especially around data acquisition and reasoning. Agentic AI Development Architect and lead the development of a cutting-edge agentic AI system for intelligent data discovery, extraction, and decision-making. Oversee the integration of LLMs, knowledge graphs, retrieval-augmented generation (RAG), and reinforcement learning for autonomous task execution. Champion the application of explainable and trustworthy AI principles in all solutions. Hands-on Technical Leadership Serve as a player-coach-writing code, prototyping models, conducting experiments, and reviewing designs. Establish best practices for data science, MLOps, and model deployment at scale. Guide the selection of AI technologies, platforms, and tooling. Team Building & Mentorship Mentor team members and the broader business, fostering a culture of curiosity, experimentation, and continuous learning. Collaboration & Communication Communicate complex technical concepts to business stakeholders and influence product strategy. Represent Encompass in thought leadership forums and industry discussions on AI in RegTech and compliance. Skills, Knowledge and Expertise Lets get the technical stuff out the way first, your past experience as an Engineer will include working with: Proven experience in data science, AI, or ML roles with increasing leadership responsibility (people management experience not required). Deep expertise in building intelligent systems with one or more of the following: LLMs, agent frameworks, RAG, knowledge representation, or autonomous data pipelines. Strong programming and software engineering skills (Python preferred; familiarity with cloud-native and MLOps tools). Demonstrated experience in building and deploying AI systems in production environments. Strong understanding of data governance, bias, fairness, and regulatory considerations in AI. Experience in the financial services, RegTech, or compliance domain is a strong plus. Advanced degree (PhD or MSc) in Computer Science, Data Science, AI, or a related field. Cultural add is as equally as important to us a technical skills, our teams are full of people who: Think in terms of a 3-5 year future time horizon, helping others to see what's down the road, and what the implications are for now. Support hiring our most senior engineering people. Care about, and is involved in the wider business strategy; doesn't just have a pure engineering focus. Ideally the person would also be able to contribute directly to the business strategy. Able to provide actionable direction to teams of multiple stakeholders even in the most challenging of situations. Effective at creating and getting buy in for a multi year technology strategy across the company, from Board level to individual engineers. Able to make and communicate difficult decisions when necessary. Lead by example to proactively foster an inclusive, diverse, and positive engineering culture across the business. We offer a rewarding and challenging place to work, a transparent and collaborative culture and a well rounded benefits package. Below are some of what we currently offer: Participation in our industry leading share options scheme Private Medical Plan 20 days a year Work From Anywhere policy for all staff Flexible first working policy Enhanced annual, personal and parental leave schemes. Paid volunteering leave programme Employer recognition and employee assistance programmes Equal Opportunities We are committed to fostering a diverse and inclusive workplace where everyone feels valued and empowered to thrive. We welcome applications from individuals of all backgrounds, regardless of race, ethnicity, gender, sexual orientation, age, disability, religion, or any other protected characteristic. If you require any adjustments during the recruitment process to ensure an equitable experience, please let us know. Join us in creating an environment where everyone can contribute their best work. Please note, we are not looking for agency assistance on these roles and will not accept any speculative CVs shared.
Movar Limited
Job Sector: TransportInfrastructureDefenceEnergyCross Sector At Movar, we understand that project delivery is getting increasingly complex. Since 2013, we've been helping companies of all sizes improve the way projects are delivered. Our mission is to be the number one provider of innovative project solutions, driven by a community of experienced, caring, and passionate project professionals-all seeking to improve the way projects are delivered. Our vision is simple yet powerful: to improve the lives of people everywhere through the delivery of projects. We provide tailored services ranging from organisational systems implementation to project transformation and complete programme recovery. We're proud to have been named Winners of the Global Project Controls Innovation of the Year Award 2024. Why Join Movar? Movar is in an exciting period of growth, and there's never been a better time to be part of our journey. We're building something special-scaling our business while staying true to our people-first approach. At Movar, we invest in our teams, fostering an environment where development is valued and individuals are encouraged to grow with the company. Our unique culture sets us apart from other consulting practices, and we're keen to build a team that is as ambitious as we are. Our IDEAL Values: Integrity - We do the right thing, always. Drive - We push boundaries and strive for excellence. Empathy - We care deeply about our people and clients. Adaptability - We embrace change and thrive in it. Loyalty - We stand by each other and our mission. Job Summary. We are seeking a Principal AI Engineer with exceptional technical expertise and leadership capabilities to drive our artificial intelligence initiatives forward. This role is ideal for a technical visionary who combines deep expertise in AI, machine learning, and software engineering with the ability to lead cross-functional teams and shape technical strategy. The ideal candidate will drive innovation by architecting cutting edge agentic AI solutions, leading technical teams, and establishing Next Practice for AI development across the organisation and industry. This is a high-impact role that requires both technical excellence and leadership acumen to shape the future of AI within our company and mentor the next generation of AI engineers. Key Responsibilities. Technical Leadership & Architecture: With Pillar Lead, define and execute agentic strategy for Movos platform. Lead the design of scalable, robust agentic and data architectures that align with business objectives. Establish technical standards, next practice, and development methodologies for AI/ML projects. AI/ML Development & Innovation: Lead the development of advanced AI/ML models and systems, from research through to production deployment. Drive innovation in machine learning algorithms, neural networks, and emerging AI technologies including generative AI and multi modal systems. Oversee the implementation of MLOps pipelines, model monitoring, and automated deployment systems. Team Leadership & Mentorship: Lead and mentor a team of AI engineers, data scientists, and data engineers. Foster a culture of technical excellence, continuous learning, and innovation within the Agentic Engineering team. Collaborate closely across pillars to deliver impactful AI solutions. Research & Development: Stay at the forefront of AI research and emerging technologies, evaluating and integrating cutting edge techniques into our technology stack. Contribute to open source projects and represent the company at technical conferences and industry forums. Drive proof of concept initiatives and experimental projects to explore new AI capabilities. Technical Governance & Quality: Establish robust testing frameworks, performance monitoring, and quality assurance processes for AI systems. Ensure AI solutions meet enterprise standards for reliability, scalability, security, and compliance. Lead technical reviews and provide guidance on complex AI engineering challenges. Technical Expertise: Deep expertise in AI/ML frameworks (TensorFlow, PyTorch, Scikit Learn, Transformers), cloud platforms (AWS, Azure, GCP), and modern software engineering practices. Strong background in deep learning, natural language processing, computer vision, or reinforcement learning. Engineering Excellence: Proven experience building production scale AI systems with focus on performance, reliability, and maintainability. Expertise in software architecture, distributed systems, and DevOps/MLOps practices. Leadership & Collaboration: Demonstrated ability to lead technical teams, drive consensus on technical decisions, and collaborate effectively across departments. Experience mentoring engineers and fostering technical growth. Innovation & Problem Solving: Track record of solving complex technical challenges and delivering innovative AI solutions that create measurable business impact. Qualifications & Experience. Demonstrable experience in AI/ML engineering, with at least 2 years in a senior technical leadership role. Master's or post graduate degree in Data Science, AI Engineering, or related fields requiring statistical rigour. Master's or PhD in a technical field requiring statistical rigour. Proven track record of leading the development and deployment of production AI systems at scale. Strong publication record or contributions to open source AI projects preferred. Experience with modern software development practices including CI/CD, testing frameworks, and agile methodologies. Office Address : Unit 3 Knot House, 6 Brewery Square, London SE1 2LF Movar Group Limited is registered in England and Wales number: VAT No: GB
Job Sector: TransportInfrastructureDefenceEnergyCross Sector At Movar, we understand that project delivery is getting increasingly complex. Since 2013, we've been helping companies of all sizes improve the way projects are delivered. Our mission is to be the number one provider of innovative project solutions, driven by a community of experienced, caring, and passionate project professionals-all seeking to improve the way projects are delivered. Our vision is simple yet powerful: to improve the lives of people everywhere through the delivery of projects. We provide tailored services ranging from organisational systems implementation to project transformation and complete programme recovery. We're proud to have been named Winners of the Global Project Controls Innovation of the Year Award 2024. Why Join Movar? Movar is in an exciting period of growth, and there's never been a better time to be part of our journey. We're building something special-scaling our business while staying true to our people-first approach. At Movar, we invest in our teams, fostering an environment where development is valued and individuals are encouraged to grow with the company. Our unique culture sets us apart from other consulting practices, and we're keen to build a team that is as ambitious as we are. Our IDEAL Values: Integrity - We do the right thing, always. Drive - We push boundaries and strive for excellence. Empathy - We care deeply about our people and clients. Adaptability - We embrace change and thrive in it. Loyalty - We stand by each other and our mission. Job Summary. We are seeking a Principal AI Engineer with exceptional technical expertise and leadership capabilities to drive our artificial intelligence initiatives forward. This role is ideal for a technical visionary who combines deep expertise in AI, machine learning, and software engineering with the ability to lead cross-functional teams and shape technical strategy. The ideal candidate will drive innovation by architecting cutting edge agentic AI solutions, leading technical teams, and establishing Next Practice for AI development across the organisation and industry. This is a high-impact role that requires both technical excellence and leadership acumen to shape the future of AI within our company and mentor the next generation of AI engineers. Key Responsibilities. Technical Leadership & Architecture: With Pillar Lead, define and execute agentic strategy for Movos platform. Lead the design of scalable, robust agentic and data architectures that align with business objectives. Establish technical standards, next practice, and development methodologies for AI/ML projects. AI/ML Development & Innovation: Lead the development of advanced AI/ML models and systems, from research through to production deployment. Drive innovation in machine learning algorithms, neural networks, and emerging AI technologies including generative AI and multi modal systems. Oversee the implementation of MLOps pipelines, model monitoring, and automated deployment systems. Team Leadership & Mentorship: Lead and mentor a team of AI engineers, data scientists, and data engineers. Foster a culture of technical excellence, continuous learning, and innovation within the Agentic Engineering team. Collaborate closely across pillars to deliver impactful AI solutions. Research & Development: Stay at the forefront of AI research and emerging technologies, evaluating and integrating cutting edge techniques into our technology stack. Contribute to open source projects and represent the company at technical conferences and industry forums. Drive proof of concept initiatives and experimental projects to explore new AI capabilities. Technical Governance & Quality: Establish robust testing frameworks, performance monitoring, and quality assurance processes for AI systems. Ensure AI solutions meet enterprise standards for reliability, scalability, security, and compliance. Lead technical reviews and provide guidance on complex AI engineering challenges. Technical Expertise: Deep expertise in AI/ML frameworks (TensorFlow, PyTorch, Scikit Learn, Transformers), cloud platforms (AWS, Azure, GCP), and modern software engineering practices. Strong background in deep learning, natural language processing, computer vision, or reinforcement learning. Engineering Excellence: Proven experience building production scale AI systems with focus on performance, reliability, and maintainability. Expertise in software architecture, distributed systems, and DevOps/MLOps practices. Leadership & Collaboration: Demonstrated ability to lead technical teams, drive consensus on technical decisions, and collaborate effectively across departments. Experience mentoring engineers and fostering technical growth. Innovation & Problem Solving: Track record of solving complex technical challenges and delivering innovative AI solutions that create measurable business impact. Qualifications & Experience. Demonstrable experience in AI/ML engineering, with at least 2 years in a senior technical leadership role. Master's or post graduate degree in Data Science, AI Engineering, or related fields requiring statistical rigour. Master's or PhD in a technical field requiring statistical rigour. Proven track record of leading the development and deployment of production AI systems at scale. Strong publication record or contributions to open source AI projects preferred. Experience with modern software development practices including CI/CD, testing frameworks, and agile methodologies. Office Address : Unit 3 Knot House, 6 Brewery Square, London SE1 2LF Movar Group Limited is registered in England and Wales number: VAT No: GB