Summary Dext is a fast-growing fintech transforming bookkeeping through AI and machine learning. Our platform empowers businesses, accountants, and bookkeepers to simplify accounting processes and make smarter, more timely financial decisions. In 2024, Dext joined the IRIS Software Group, further strengthening our ability to deliver end-to-end accountancy solutions. We've achieved 99.5% data accuracy, saved over 35 million hours of manual data entry, and are trusted by 12,000 firms and 700,000 businesses globally. With integrations across all major accounting software and over 11,500 financial sources, we're proud to be at the forefront of innovation in the accounting space. Dext is looking for a Director of Financial Control who will lead our global accounting function, ensuring high quality financial reporting, strong controls, and scalable processes to support continued growth. This role reports directly to Dext's VP of Finance and manages a team of 12 (with 9 direct reports) covering financial accounting, AP, AR, banking, financial systems and payroll over a number of geographies. Job Duties & Responsibilities Responsible for accounting and compliance across the UK, France, Australia and North America. Ensuring clean and efficient audits and all statutory reporting. Work with outsourced accountants to meet deadlines and deal with queries Lead the modernisation of Dext's financial engine, architecting and deploying automation and AI solutions to transform the month end close and deliver a fast, insights led reporting process. Work closely with the FP&A team to achieve a seamless, efficient and insightful month end process including ownership of the management accounts and high level analysis. Create and implement new controls, continuously improving existing ones and achieve compliance with relevant control frameworks. Treasury management and managing the banking relationships across the group. Lead, develop and coach a team of 12, setting clear objectives and fostering a high performing, collaborative culture. Work closely with the IRIS finance team to fulfill group audit and reporting requirements as well as exchanging best practice and aligning common processes where practical. Lead significant finance transformation initiatives, such as the conversion to IFRS reporting. Knowledge, Skills and Abilities Solid understanding of accounting and finance principles Strong business partnering and interpersonal skills Organised, flexible and easily adaptable to changing conditions Ability to work well in high pressure situations to meet deadlines Strong project management skills Ability to multi task and manage numerous simultaneous priorities High energy, high ownership of work product and dedication and commitment to driving results Requirements 10+ years progressive accounting experience, including several years in a senior management role Experience managing and developing sizeable accounting teams Experience in a SaaS environment or accounting firm Accounting degree and/or chartered accountant qualification NetSuite experience desirable Willing to work flexible hours as required for month end close and financial reporting process Proven experience leading audits and statutory reporting across multiple jurisdictions
Feb 09, 2026
Full time
Summary Dext is a fast-growing fintech transforming bookkeeping through AI and machine learning. Our platform empowers businesses, accountants, and bookkeepers to simplify accounting processes and make smarter, more timely financial decisions. In 2024, Dext joined the IRIS Software Group, further strengthening our ability to deliver end-to-end accountancy solutions. We've achieved 99.5% data accuracy, saved over 35 million hours of manual data entry, and are trusted by 12,000 firms and 700,000 businesses globally. With integrations across all major accounting software and over 11,500 financial sources, we're proud to be at the forefront of innovation in the accounting space. Dext is looking for a Director of Financial Control who will lead our global accounting function, ensuring high quality financial reporting, strong controls, and scalable processes to support continued growth. This role reports directly to Dext's VP of Finance and manages a team of 12 (with 9 direct reports) covering financial accounting, AP, AR, banking, financial systems and payroll over a number of geographies. Job Duties & Responsibilities Responsible for accounting and compliance across the UK, France, Australia and North America. Ensuring clean and efficient audits and all statutory reporting. Work with outsourced accountants to meet deadlines and deal with queries Lead the modernisation of Dext's financial engine, architecting and deploying automation and AI solutions to transform the month end close and deliver a fast, insights led reporting process. Work closely with the FP&A team to achieve a seamless, efficient and insightful month end process including ownership of the management accounts and high level analysis. Create and implement new controls, continuously improving existing ones and achieve compliance with relevant control frameworks. Treasury management and managing the banking relationships across the group. Lead, develop and coach a team of 12, setting clear objectives and fostering a high performing, collaborative culture. Work closely with the IRIS finance team to fulfill group audit and reporting requirements as well as exchanging best practice and aligning common processes where practical. Lead significant finance transformation initiatives, such as the conversion to IFRS reporting. Knowledge, Skills and Abilities Solid understanding of accounting and finance principles Strong business partnering and interpersonal skills Organised, flexible and easily adaptable to changing conditions Ability to work well in high pressure situations to meet deadlines Strong project management skills Ability to multi task and manage numerous simultaneous priorities High energy, high ownership of work product and dedication and commitment to driving results Requirements 10+ years progressive accounting experience, including several years in a senior management role Experience managing and developing sizeable accounting teams Experience in a SaaS environment or accounting firm Accounting degree and/or chartered accountant qualification NetSuite experience desirable Willing to work flexible hours as required for month end close and financial reporting process Proven experience leading audits and statutory reporting across multiple jurisdictions
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky . Design, develop, and implement machine learning pipelines and GenAI-powered search and conversational chatbot solutions for scalable mobile and TV applications at Sky and Comcast . As a professional, be a source of expertise and knowledge for junior team members. Solve complex problems within your area, coordinating with others outside of it if needed. Lead on projects or parts of projects. What you'll do Design, develop and optimise GenAI-powered search and conversational chatbot experiences that integrate seamlessly into scalable mobile and TV applications used by end users Build retrieval-augmented generation (RAG) pipelines combining LLMs with structured and unstructured data Optimise relevance, latency, and response quality for interactive UI components Evaluate and improve models using real-world feedback, analytics and experimentation Collaborates closely with frontend, product, and UX teams to embed AI components into user-facing applications Contributes to system architecture, model selection, and deployment strategies Provides technical guidance and mentorship to junior members of the engineering team Participates in Scrum / agile process Participates in on-call support with the rest of the team What you'll bring Extensive e xperience with traditional ML system s and GenAI ( LLMs, agent frameworks ), including proven delivery of GenAI powered search or chatbot solutions in production Working experience and in-depth understanding of: - Large Language Models (LLMs) - Vector databases and semantic search - Retrieval-Augmented Generation (RAG) Extensive programming expertise , primarily in Python, delivering ML and GenAI solutions with a language-agnostic mindset Familiar with cloud services (e.g. AWS Lambda best practices) Strong team player and confident communicator with experience as a tech lead and individual contributor in agile, fast paced environments Big Plus: PhD in related subjects Extensive machine learning research background, including a cademic publications in ML- related conferences or journals Team overview Global Product We're the Global Product. We're the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can't wait to get started on what's next. The rewards Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Feb 09, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky . Design, develop, and implement machine learning pipelines and GenAI-powered search and conversational chatbot solutions for scalable mobile and TV applications at Sky and Comcast . As a professional, be a source of expertise and knowledge for junior team members. Solve complex problems within your area, coordinating with others outside of it if needed. Lead on projects or parts of projects. What you'll do Design, develop and optimise GenAI-powered search and conversational chatbot experiences that integrate seamlessly into scalable mobile and TV applications used by end users Build retrieval-augmented generation (RAG) pipelines combining LLMs with structured and unstructured data Optimise relevance, latency, and response quality for interactive UI components Evaluate and improve models using real-world feedback, analytics and experimentation Collaborates closely with frontend, product, and UX teams to embed AI components into user-facing applications Contributes to system architecture, model selection, and deployment strategies Provides technical guidance and mentorship to junior members of the engineering team Participates in Scrum / agile process Participates in on-call support with the rest of the team What you'll bring Extensive e xperience with traditional ML system s and GenAI ( LLMs, agent frameworks ), including proven delivery of GenAI powered search or chatbot solutions in production Working experience and in-depth understanding of: - Large Language Models (LLMs) - Vector databases and semantic search - Retrieval-Augmented Generation (RAG) Extensive programming expertise , primarily in Python, delivering ML and GenAI solutions with a language-agnostic mindset Familiar with cloud services (e.g. AWS Lambda best practices) Strong team player and confident communicator with experience as a tech lead and individual contributor in agile, fast paced environments Big Plus: PhD in related subjects Extensive machine learning research background, including a cademic publications in ML- related conferences or journals Team overview Global Product We're the Global Product. We're the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can't wait to get started on what's next. The rewards Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
A total cash package of up to £110,000 comprising of a base salary of £82,005 We are a dynamic consulting firm, focused on delivering sustainable change. We ensure our clients succeed in their long-term goals by helping them turn their strategy into action through exceptional delivery and a commitment to establishing a culture of change. Clients like what we do and how we work, and we are looking for people to join the Moorhouse team. We pride ourselves on being proactive, collaborative, and straightforward team players. We work efficiently and collaboratively as a team and both honesty and integrity are key to this. In return you will be part of a supportive and high-performing team that shares the workload, looks after each other and celebrates success together. You can be assured of an exciting opportunity that will help you grow your skills through meaningful challenges and equip you with skills, experience and knowledge that can help organisations respond to the turbulence, change and opportunity that will define the future of work. We encourage behaviours that promote transparency, collaboration and achievement of shared goals. Data Science at Moorhouse Our Data Science capability is a growing and strategically significant part of Moorhouse. We help organisations unlock the value of their data by combining deep technical expertise with the consulting skills needed to drive real-world change. Our team works across the full data and analytics lifecycle,from defining strategy and enabling data-driven cultures, to building advanced analytical models and delivering digital products that embed predictive insight into everyday decision-making. We partner with clients across multiple sectors, including healthcare, energy and utilities, life sciences, financial services and TMT. Much of our work today focuses on developing and deploying analytical tools and web-based products that deliver forecasting, optimisation, and automated insight. Our projects span machine learning, statistical modelling, data engineering, data visualisation and MLOps, always with a focus on driving tangible business outcomes. As demand for digital and AI-enabled transformation continues to grow, our Data Science team is expandingand contributing to some of the most impactful programmes across the firm. Responsibilities Why join the Data Science team at Moorhouse? We are seeking a hands-on, technically focused Manager to join the Data Science function, who will lead the delivery of complex data science and digital product projects. While there will be opportunities to contribute to business growth and propositions, the key component of this role is strong technical delivery : architecting solutions, guiding teams, and ensuring the highest-quality output. This role complements another Manager in the team who is focused on proposition development and commercial growth. You will bring the deep engineering and delivery expertise necessary to ensure our solutions are robust, scalable and production-ready. In this role, you will have the opportunity to: Lead complex end-to-end delivery of data science and digital product solutions Lead the delivery of high-impact projects involving machine learning, forecasting, optimisation and data-driven digital products. Design and architect analytical solutions, including modelling approaches, data pipelines, integration patterns and deployment frameworks. Promote delivery excellence, engineering discipline and best-practice coding standards across teams. Be the technical leadership on DevOps/MLOps Implement and embed CI/CD pipelines, automated testing frameworks, containerisation and monitoring. Guide cloud architecture and infrastructure-as-code approaches (AWS, Azure, GCP). Encourage best practices for operationalising machine learning models at scale. Lead multidisciplinary teams with confidence Coach, mentor and support junior team members, ensuring they deliver high-quality technical work. Foster engineering maturity and support the development of technical capability across the team. Engage with senior stakeholders Translate technical detail into actionable insights and recommendations for clients. Build trusted relationships with leaders across multiple sectors. Support commercial and proposition development Provide technical input into proposals and bids. Contribute to refining our Data Science and AI propositions. Essential skills What are we looking for? We are seeking candidates with 6-8+ years of experience in data science, data engineering, analytics or AI product delivery, with a strong emphasis on hands-on technical leadership. Deep Technical Delivery Expertise Advanced proficiency in Python and SQL ; experience designing and delivering production-grade solutions. Operationalisation of machine learning models, forecasting tools, optimisation algorithms or analytical applications. Experience designing data pipelines, ETL workflows, APIs and data integration approaches. Automated testing (unit, integration, data validation, ML testing) Infrastructure-as-code (Terraform, ARM, CloudFormation) Monitoring and observability Experience with cloud ecosystems (Azure, AWS, GCP, Snowflake, Databricks). Strong understanding of software engineering fundamentals and modern development practices. Leadership & Consulting Capability Proven ability to lead delivery of complex technical programmes. Strong people leadership and mentoring capabilities. Excellent communication skills and ability to engage senior stakeholders. Collaborative mindset and commitment to high-quality client delivery. What we can offer you: A total cash package of up to £110,000 comprising of a base salary of £82,005 and a combination of personal and company bonuses that are paid every six months. 25 days annual leave increasing by one day for every full year of service to a maximum of 30 days with the option to buy or sell up to five days of annual leave per year. Life Assurance, Private Medical Insurance, Group Personal Pension Scheme and a range of discounted lifestyle and well-being benefits through Perkbox. A culture where you will not need to compete with others because of promotion quotas or the typical distribution curves that govern performance management in other organisations. We recognise and reward performance consistently and transparently across the firm so that everyone knows where they stand. We offer flexible working arrangements with our offices near Liverpool Street although you can expect to spend some time as part of a team onUKclient sites.Wesupport flexibility wherever possible. Moorhouse is proud to be an equal opportunities employer, and our values underpin a working environment that is inclusive for all those who work for us. We encourage people to bring their whole selves to work, contribute ideas, take the initiative and be responsible for their impact on others internally and externally. We value your privacy
Feb 09, 2026
Full time
A total cash package of up to £110,000 comprising of a base salary of £82,005 We are a dynamic consulting firm, focused on delivering sustainable change. We ensure our clients succeed in their long-term goals by helping them turn their strategy into action through exceptional delivery and a commitment to establishing a culture of change. Clients like what we do and how we work, and we are looking for people to join the Moorhouse team. We pride ourselves on being proactive, collaborative, and straightforward team players. We work efficiently and collaboratively as a team and both honesty and integrity are key to this. In return you will be part of a supportive and high-performing team that shares the workload, looks after each other and celebrates success together. You can be assured of an exciting opportunity that will help you grow your skills through meaningful challenges and equip you with skills, experience and knowledge that can help organisations respond to the turbulence, change and opportunity that will define the future of work. We encourage behaviours that promote transparency, collaboration and achievement of shared goals. Data Science at Moorhouse Our Data Science capability is a growing and strategically significant part of Moorhouse. We help organisations unlock the value of their data by combining deep technical expertise with the consulting skills needed to drive real-world change. Our team works across the full data and analytics lifecycle,from defining strategy and enabling data-driven cultures, to building advanced analytical models and delivering digital products that embed predictive insight into everyday decision-making. We partner with clients across multiple sectors, including healthcare, energy and utilities, life sciences, financial services and TMT. Much of our work today focuses on developing and deploying analytical tools and web-based products that deliver forecasting, optimisation, and automated insight. Our projects span machine learning, statistical modelling, data engineering, data visualisation and MLOps, always with a focus on driving tangible business outcomes. As demand for digital and AI-enabled transformation continues to grow, our Data Science team is expandingand contributing to some of the most impactful programmes across the firm. Responsibilities Why join the Data Science team at Moorhouse? We are seeking a hands-on, technically focused Manager to join the Data Science function, who will lead the delivery of complex data science and digital product projects. While there will be opportunities to contribute to business growth and propositions, the key component of this role is strong technical delivery : architecting solutions, guiding teams, and ensuring the highest-quality output. This role complements another Manager in the team who is focused on proposition development and commercial growth. You will bring the deep engineering and delivery expertise necessary to ensure our solutions are robust, scalable and production-ready. In this role, you will have the opportunity to: Lead complex end-to-end delivery of data science and digital product solutions Lead the delivery of high-impact projects involving machine learning, forecasting, optimisation and data-driven digital products. Design and architect analytical solutions, including modelling approaches, data pipelines, integration patterns and deployment frameworks. Promote delivery excellence, engineering discipline and best-practice coding standards across teams. Be the technical leadership on DevOps/MLOps Implement and embed CI/CD pipelines, automated testing frameworks, containerisation and monitoring. Guide cloud architecture and infrastructure-as-code approaches (AWS, Azure, GCP). Encourage best practices for operationalising machine learning models at scale. Lead multidisciplinary teams with confidence Coach, mentor and support junior team members, ensuring they deliver high-quality technical work. Foster engineering maturity and support the development of technical capability across the team. Engage with senior stakeholders Translate technical detail into actionable insights and recommendations for clients. Build trusted relationships with leaders across multiple sectors. Support commercial and proposition development Provide technical input into proposals and bids. Contribute to refining our Data Science and AI propositions. Essential skills What are we looking for? We are seeking candidates with 6-8+ years of experience in data science, data engineering, analytics or AI product delivery, with a strong emphasis on hands-on technical leadership. Deep Technical Delivery Expertise Advanced proficiency in Python and SQL ; experience designing and delivering production-grade solutions. Operationalisation of machine learning models, forecasting tools, optimisation algorithms or analytical applications. Experience designing data pipelines, ETL workflows, APIs and data integration approaches. Automated testing (unit, integration, data validation, ML testing) Infrastructure-as-code (Terraform, ARM, CloudFormation) Monitoring and observability Experience with cloud ecosystems (Azure, AWS, GCP, Snowflake, Databricks). Strong understanding of software engineering fundamentals and modern development practices. Leadership & Consulting Capability Proven ability to lead delivery of complex technical programmes. Strong people leadership and mentoring capabilities. Excellent communication skills and ability to engage senior stakeholders. Collaborative mindset and commitment to high-quality client delivery. What we can offer you: A total cash package of up to £110,000 comprising of a base salary of £82,005 and a combination of personal and company bonuses that are paid every six months. 25 days annual leave increasing by one day for every full year of service to a maximum of 30 days with the option to buy or sell up to five days of annual leave per year. Life Assurance, Private Medical Insurance, Group Personal Pension Scheme and a range of discounted lifestyle and well-being benefits through Perkbox. A culture where you will not need to compete with others because of promotion quotas or the typical distribution curves that govern performance management in other organisations. We recognise and reward performance consistently and transparently across the firm so that everyone knows where they stand. We offer flexible working arrangements with our offices near Liverpool Street although you can expect to spend some time as part of a team onUKclient sites.Wesupport flexibility wherever possible. Moorhouse is proud to be an equal opportunities employer, and our values underpin a working environment that is inclusive for all those who work for us. We encourage people to bring their whole selves to work, contribute ideas, take the initiative and be responsible for their impact on others internally and externally. We value your privacy
Job Description Principal Consultant to design, develop and deploy solutions using GenAI, LLMs and ML models utilizing Azure OpenAI services and other features of the Azure AI/ML landscape. Your role We are looking for a skilled Principal Consultant with expertise in Azure to operationalize AI, ML, and Large Language Model (LLM) solutions at scale, and will be responsible for designing, implementing, and maintaining the end to end Machine Learning pipelines and infrastructure that enable the seamless development, deployment, and monitoring of AI and ML models in production, including Large Language Models (LLMs). From data ingestion and model/LLM deployment, monitoring, and governance using Azure's AI ecosystem including Azure AI Foundry, Azure ML, and AKS. Responsibilities Design, build, and manage ML & LLM pipelines using Azure Machine Learning (AML) and Azure AI Foundry (e.g., GPT, Phi, LLaMA-based, HuggingFace) using Azure AI services. Implement and manage Azure infrastructure necessary for ML workloads (e.g., Azure Machine Learning Workspaces, Compute, Data Stores) using ARM templates or Terraform. Implement CI/CD for ML/LLM workflows with Azure DevOps or GitHub Actions. Manage real time and batch deployments on Azure Kubernetes Service (AKS) or Azure Container Instances and manage model versions, registrations, and lifecycle within Azure Machine Learning. This includes working with Azure AI Foundry for generative AI applications. Automate infrastructure with Terraform, Bicep, or ARM templates. Set up model registry, experiment tracking, versioning, and reproducibility. Integrate Azure Data Factory, Synapse, or Databricks for data ingestion and preprocessing. Establish robust monitoring, logging, and alerting systems for deployed ML models and LLMs to track performance, detect data drift, concept drift, and operational issues, ensuring continuous model health. Ensure security, compliance, and responsible AI practices in LLM deployments. Collaborate with cross functional teams to operationalize AI/ML/LLM use cases at enterprise scale. Required 10+ years of experience in ML engineering, with hands on experience in Azure AI/ML services. Prior experience in LLM deployment or generative AI projects is strongly preferred. Preferred Strong programming experience in Python (ML frameworks + Azure SDKs). Hands on experience with Azure ML, Azure AI Foundry, Azure OpenAI, AKS, Databricks, ADF, Synapse, Azure Storage. Experience deploying and monitoring LLMs in production (fine tuning, prompt engineering integration, inference optimization). Knowledge of CI/CD for ML/LLMs with Azure DevOps / GitHub Actions. Proficiency with Docker and containerized deployments. Familiarity with MLOps best practices - version control, reproducibility, monitoring. Good understanding of Responsible AI, model governance, and compliance frameworks. Solid SQL and data pipeline skills. Strong problem solving and collaboration skills. Nice to Have Skills: Experience with LangChain, Semantic Kernel, or Retrieval Augmented Generation (RAG) patterns in Azure. Knowledge of vector databases (Azure Cognitive Search, Pinecone, Weaviate, etc.) for LLM applications. Exposure to real time streaming & event driven architectures (Event Hub, Kafka). Familiarity with KubeFlow, MLflow, or other MLOps orchestration frameworks. Personal High analytical skills High customer orientation High quality awareness Excellent verbal and written communication skills About Us Infosys is a global leader in next generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. "All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer."
Feb 09, 2026
Full time
Job Description Principal Consultant to design, develop and deploy solutions using GenAI, LLMs and ML models utilizing Azure OpenAI services and other features of the Azure AI/ML landscape. Your role We are looking for a skilled Principal Consultant with expertise in Azure to operationalize AI, ML, and Large Language Model (LLM) solutions at scale, and will be responsible for designing, implementing, and maintaining the end to end Machine Learning pipelines and infrastructure that enable the seamless development, deployment, and monitoring of AI and ML models in production, including Large Language Models (LLMs). From data ingestion and model/LLM deployment, monitoring, and governance using Azure's AI ecosystem including Azure AI Foundry, Azure ML, and AKS. Responsibilities Design, build, and manage ML & LLM pipelines using Azure Machine Learning (AML) and Azure AI Foundry (e.g., GPT, Phi, LLaMA-based, HuggingFace) using Azure AI services. Implement and manage Azure infrastructure necessary for ML workloads (e.g., Azure Machine Learning Workspaces, Compute, Data Stores) using ARM templates or Terraform. Implement CI/CD for ML/LLM workflows with Azure DevOps or GitHub Actions. Manage real time and batch deployments on Azure Kubernetes Service (AKS) or Azure Container Instances and manage model versions, registrations, and lifecycle within Azure Machine Learning. This includes working with Azure AI Foundry for generative AI applications. Automate infrastructure with Terraform, Bicep, or ARM templates. Set up model registry, experiment tracking, versioning, and reproducibility. Integrate Azure Data Factory, Synapse, or Databricks for data ingestion and preprocessing. Establish robust monitoring, logging, and alerting systems for deployed ML models and LLMs to track performance, detect data drift, concept drift, and operational issues, ensuring continuous model health. Ensure security, compliance, and responsible AI practices in LLM deployments. Collaborate with cross functional teams to operationalize AI/ML/LLM use cases at enterprise scale. Required 10+ years of experience in ML engineering, with hands on experience in Azure AI/ML services. Prior experience in LLM deployment or generative AI projects is strongly preferred. Preferred Strong programming experience in Python (ML frameworks + Azure SDKs). Hands on experience with Azure ML, Azure AI Foundry, Azure OpenAI, AKS, Databricks, ADF, Synapse, Azure Storage. Experience deploying and monitoring LLMs in production (fine tuning, prompt engineering integration, inference optimization). Knowledge of CI/CD for ML/LLMs with Azure DevOps / GitHub Actions. Proficiency with Docker and containerized deployments. Familiarity with MLOps best practices - version control, reproducibility, monitoring. Good understanding of Responsible AI, model governance, and compliance frameworks. Solid SQL and data pipeline skills. Strong problem solving and collaboration skills. Nice to Have Skills: Experience with LangChain, Semantic Kernel, or Retrieval Augmented Generation (RAG) patterns in Azure. Knowledge of vector databases (Azure Cognitive Search, Pinecone, Weaviate, etc.) for LLM applications. Exposure to real time streaming & event driven architectures (Event Hub, Kafka). Familiarity with KubeFlow, MLflow, or other MLOps orchestration frameworks. Personal High analytical skills High customer orientation High quality awareness Excellent verbal and written communication skills About Us Infosys is a global leader in next generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. "All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer."
Overview With us, you'll learn fast, work smart, and make a difference. You'll build a career that matters. Job Description - Principal Consultant - Azure AI Engineer / Lead (ITO098519) Principal Consultant - Azure AI Engineer / Lead - ITO098519 Ready to build the future with AI? At Genpact, we don't just keep up with technology-we set the pace. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies' most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on LinkedIn, YouTube, and Facebook. Role Inviting Applications for the role of Principal Consultant - Azure AI Engineer / Lead Responsibilities Design & Development: Architect and develop end-to-end AI/ML solutions using Azure AI services (e.g., Azure Machine Learning, Azure Cognitive Services, Azure Databricks, Azure Synapse Analytics). Model Deployment & Management: Implement robust MLOps practices for CI/CD, monitoring, and retraining of machine learning models in Azure. Data Pipelining: Build and optimize scalable data pipelines for ingesting, transforming, and preparing large datasets for AI model training and inference. Performance Optimization: Optimize AI models and their serving infrastructure for performance, cost-efficiency, and scalability. Collaboration: Work with data scientists to operationalize models, provide feedback on model design for production readiness, and ensure seamless integration with existing systems. Troubleshooting & Support: Diagnose and resolve issues related to AI/ML deployments, data pipelines, and Azure infrastructure. Security & Compliance: Ensure AI solutions adhere to best practices for data security, privacy, and compliance within the Azure ecosystem. Documentation: Create comprehensive documentation for AI solution architectures, deployment procedures, and operational guidelines. Stay Current: Keep abreast of the latest advancements in Azure AI services, machine learning technologies, and MLOps trends. Qualifications Minimum Qualifications Bachelor's or master's degree in computer science, Engineering, Data Science, or a related quantitative field. Relevant years of experience in developing and deploying AI/ML solutions, with a strong focus on Microsoft Azure. Proficiency in Python and experience with relevant AI/ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, Keras). Demonstrated experience with Azure Machine Learning, including MLOps concepts, model registration, deployment (AKS, ACI), and monitoring. Hands-on experience with Azure data services such as Azure Data Lake Storage, Azure Data Factory, Azure Databricks, or Azure Synapse Analytics. Solid understanding of software engineering principles, including version control (Git), testing, and code review. Experience with containerization technologies (Docker, Kubernetes). Strong problem-solving skills and the ability to work independently and as part of a team. Excellent communication and interpersonal skills. Preferred Qualifications/ Skills Azure certifications (e.g., Azure AI Engineer Associate, Azure Data Scientist Associate). Experience with Azure Cognitive Services (e.g., Language, Vision, Speech) or Azure Bot Service. Familiarity with streaming data processing frameworks (e.g., Apache Kafka, Azure Event Hubs, Azure Stream Analytics). Experience with CI/CD pipelines (e.g., Azure DevOps, GitHub Actions). Understanding of distributed computing concepts and big data technologies. Prior experience with sequential data processing, time-series analysis, or natural language processing (NLP). Why join Genpact? Lead AI-first transformation - Build and scale AI solutions that redefine industries Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career-Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let's build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.
Feb 08, 2026
Full time
Overview With us, you'll learn fast, work smart, and make a difference. You'll build a career that matters. Job Description - Principal Consultant - Azure AI Engineer / Lead (ITO098519) Principal Consultant - Azure AI Engineer / Lead - ITO098519 Ready to build the future with AI? At Genpact, we don't just keep up with technology-we set the pace. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies' most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on LinkedIn, YouTube, and Facebook. Role Inviting Applications for the role of Principal Consultant - Azure AI Engineer / Lead Responsibilities Design & Development: Architect and develop end-to-end AI/ML solutions using Azure AI services (e.g., Azure Machine Learning, Azure Cognitive Services, Azure Databricks, Azure Synapse Analytics). Model Deployment & Management: Implement robust MLOps practices for CI/CD, monitoring, and retraining of machine learning models in Azure. Data Pipelining: Build and optimize scalable data pipelines for ingesting, transforming, and preparing large datasets for AI model training and inference. Performance Optimization: Optimize AI models and their serving infrastructure for performance, cost-efficiency, and scalability. Collaboration: Work with data scientists to operationalize models, provide feedback on model design for production readiness, and ensure seamless integration with existing systems. Troubleshooting & Support: Diagnose and resolve issues related to AI/ML deployments, data pipelines, and Azure infrastructure. Security & Compliance: Ensure AI solutions adhere to best practices for data security, privacy, and compliance within the Azure ecosystem. Documentation: Create comprehensive documentation for AI solution architectures, deployment procedures, and operational guidelines. Stay Current: Keep abreast of the latest advancements in Azure AI services, machine learning technologies, and MLOps trends. Qualifications Minimum Qualifications Bachelor's or master's degree in computer science, Engineering, Data Science, or a related quantitative field. Relevant years of experience in developing and deploying AI/ML solutions, with a strong focus on Microsoft Azure. Proficiency in Python and experience with relevant AI/ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, Keras). Demonstrated experience with Azure Machine Learning, including MLOps concepts, model registration, deployment (AKS, ACI), and monitoring. Hands-on experience with Azure data services such as Azure Data Lake Storage, Azure Data Factory, Azure Databricks, or Azure Synapse Analytics. Solid understanding of software engineering principles, including version control (Git), testing, and code review. Experience with containerization technologies (Docker, Kubernetes). Strong problem-solving skills and the ability to work independently and as part of a team. Excellent communication and interpersonal skills. Preferred Qualifications/ Skills Azure certifications (e.g., Azure AI Engineer Associate, Azure Data Scientist Associate). Experience with Azure Cognitive Services (e.g., Language, Vision, Speech) or Azure Bot Service. Familiarity with streaming data processing frameworks (e.g., Apache Kafka, Azure Event Hubs, Azure Stream Analytics). Experience with CI/CD pipelines (e.g., Azure DevOps, GitHub Actions). Understanding of distributed computing concepts and big data technologies. Prior experience with sequential data processing, time-series analysis, or natural language processing (NLP). Why join Genpact? Lead AI-first transformation - Build and scale AI solutions that redefine industries Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career-Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let's build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.
A large, enterprise scale organization undergoing significant digital and data transformation is seeking a Senior Finance Analytics & AI Architect to lead the design and delivery of advanced analytics and AI enabled finance platforms. This role focuses on building insight driven finance capabilities using Oracle analytics and data technologies, supporting complex stakeholders across regulated and enterprise environments. The position combines technical architecture, delivery leadership, and strategic engagement with senior business leaders. Key Responsibilities Lead the architecture and delivery of enterprise scale Finance Analytics and AI solutions Design end to end analytics platforms using Oracle Analytics Cloud (OAC), Fusion Data Intelligence (FDI), and Autonomous Data Warehouse Own data ingestion, transformation, modelling, and visualisation layers Design and deploy predictive and AI driven use cases using Oracle Machine Learning Translate business and finance requirements into scalable technical solutions Provide technical leadership across delivery teams, ensuring quality, performance, and governance Support pre delivery shaping activities including solution design and stakeholder workshops Build strong relationships with senior finance, data, and technology stakeholders Mentor and develop technical talent within a high performance delivery environment Contribute to internal standards, patterns, and best practices for analytics and AI delivery Required Experience Proven experience architecting Oracle Analytics and/or AI్ platforms at enterprise scale Track record of leading complex analytics or data transformation initiatives (£2m+ value) Strong hands on experience with OAC, FDI, and Autonomous Data Warehouse Deep understanding of finance reporting including operational, management, and statutory reporting Solid knowledge of data warehousing, dimensional modelling, and ETL/ELT patterns Proficiency in SQL and PL/SQL Experience with Oracle Machine Learning or comparable ML technologies Strong stakeholder engagement and communication skills Ability to operate across both technical and business facing responsibilities Desirable Experience Background in Finance, Accounting, or Performance Management environments Exposure to Oracle Cloud Infrastructure and data integration services Experience working in regulated or public sector environments Relevant Oracle certifications Working Model Hybrid working model Flexibility to engage with multiple business units and senior stakeholders What's Offered Opportunity to lead high impact, enterprise wide analytics and AI initiatives Long term career progression within a growing data and digital capability Investment in professional development and technical growth Inclusive, performance driven environment focused on delivery excellence
Feb 07, 2026
Full time
A large, enterprise scale organization undergoing significant digital and data transformation is seeking a Senior Finance Analytics & AI Architect to lead the design and delivery of advanced analytics and AI enabled finance platforms. This role focuses on building insight driven finance capabilities using Oracle analytics and data technologies, supporting complex stakeholders across regulated and enterprise environments. The position combines technical architecture, delivery leadership, and strategic engagement with senior business leaders. Key Responsibilities Lead the architecture and delivery of enterprise scale Finance Analytics and AI solutions Design end to end analytics platforms using Oracle Analytics Cloud (OAC), Fusion Data Intelligence (FDI), and Autonomous Data Warehouse Own data ingestion, transformation, modelling, and visualisation layers Design and deploy predictive and AI driven use cases using Oracle Machine Learning Translate business and finance requirements into scalable technical solutions Provide technical leadership across delivery teams, ensuring quality, performance, and governance Support pre delivery shaping activities including solution design and stakeholder workshops Build strong relationships with senior finance, data, and technology stakeholders Mentor and develop technical talent within a high performance delivery environment Contribute to internal standards, patterns, and best practices for analytics and AI delivery Required Experience Proven experience architecting Oracle Analytics and/or AI్ platforms at enterprise scale Track record of leading complex analytics or data transformation initiatives (£2m+ value) Strong hands on experience with OAC, FDI, and Autonomous Data Warehouse Deep understanding of finance reporting including operational, management, and statutory reporting Solid knowledge of data warehousing, dimensional modelling, and ETL/ELT patterns Proficiency in SQL and PL/SQL Experience with Oracle Machine Learning or comparable ML technologies Strong stakeholder engagement and communication skills Ability to operate across both technical and business facing responsibilities Desirable Experience Background in Finance, Accounting, or Performance Management environments Exposure to Oracle Cloud Infrastructure and data integration services Experience working in regulated or public sector environments Relevant Oracle certifications Working Model Hybrid working model Flexibility to engage with multiple business units and senior stakeholders What's Offered Opportunity to lead high impact, enterprise wide analytics and AI initiatives Long term career progression within a growing data and digital capability Investment in professional development and technical growth Inclusive, performance driven environment focused on delivery excellence
Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we've worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here. We don't chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we're always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you'll be empowered to envision its most powerful applications, and to make them happen. About the Team Faculty's Research team conducts critical red teaming and builds evaluations for misuse capabilities in sensitive areas, such as CBRN, cybersecurity and international security, for several leading frontier model developers and national safety institutes; notably, our work has been featured in OpenAI's system card for o1. Our commitment also extends to conducting fundamental technical research on mitigation strategies, with our findings published in peer reviewed conferences and delivered to national security institutes. Complementing this, we design evaluations for model developers across broader safety relevant fields, including the societal impacts of increasingly capable frontier models, showcasing our expertise across the safety landscape. About the role We are seeking a Senior Research Scientist to join our high impact R&D. You will lead novel research that advances scientific understanding and fuels our ambition to build safe AI systems. This is a crucial opportunity to join a small, high agency team conducting vital red team and evaluations for frontier models in sensitive areas like cybersecurity and national security. You'll shape the future of safe AI deployment in the real world. What you'll be doing: Owning and driving forward high impact AI research themes in AI safety. Contributing to the wider vision and development of Faculty's AI safety research agenda. Supporting Faculty's positioning as a leader in AI safety through thought leadership and stakeholder engagement. Shaping our research agenda by identifying impactful opportunities and balancing scientific and practical priorities. Leading technical research within the AI Safety space, from concept to publication. Supporting the delivery of evaluations and red team projects in high risk domains, such as CBRN and cybersecurity, with government and commercial partners. Who we're looking for: You have a track record of working with high impact AI research, evidenced by top tier academic publications or equivalent experience. You bring proven experience or a clear passion for Applied AI safety, perhaps from labs, academia, or evaluation and red team roles. You possess deep domain knowledge in language models and generative AI model architectures, including fine tuning techniques beyond API level implementation. You have practical machine learning experience, with a focus on areas such as robustness, explainability, or uncertainty estimation. You are proficient with deep learning frameworks (PyTorch, TensorFlow, or similar) and familiar with the HuggingFace ecosystem or equivalent ML tooling. You have demonstrable Python engineering experience to build and support robust research projects. You have the ability to conduct and oversee complex technical research projects and possess excellent verbal and written communication skills. Our Recruitment Ethos We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We're united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. Some of our standout benefits: Unlimited Annual Leave Policy Private healthcare and dental Enhanced parental leave Family Friendly Flexibility & Flexible working Sanctus Coaching Hybrid Working (2 days in our Old Street office, London) If you don't feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please do apply or reach out to our Talent Acquisition team for a confidential chat - Please know we are open to conversations about part time roles or condensed hours.
Feb 07, 2026
Full time
Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we've worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here. We don't chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we're always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you'll be empowered to envision its most powerful applications, and to make them happen. About the Team Faculty's Research team conducts critical red teaming and builds evaluations for misuse capabilities in sensitive areas, such as CBRN, cybersecurity and international security, for several leading frontier model developers and national safety institutes; notably, our work has been featured in OpenAI's system card for o1. Our commitment also extends to conducting fundamental technical research on mitigation strategies, with our findings published in peer reviewed conferences and delivered to national security institutes. Complementing this, we design evaluations for model developers across broader safety relevant fields, including the societal impacts of increasingly capable frontier models, showcasing our expertise across the safety landscape. About the role We are seeking a Senior Research Scientist to join our high impact R&D. You will lead novel research that advances scientific understanding and fuels our ambition to build safe AI systems. This is a crucial opportunity to join a small, high agency team conducting vital red team and evaluations for frontier models in sensitive areas like cybersecurity and national security. You'll shape the future of safe AI deployment in the real world. What you'll be doing: Owning and driving forward high impact AI research themes in AI safety. Contributing to the wider vision and development of Faculty's AI safety research agenda. Supporting Faculty's positioning as a leader in AI safety through thought leadership and stakeholder engagement. Shaping our research agenda by identifying impactful opportunities and balancing scientific and practical priorities. Leading technical research within the AI Safety space, from concept to publication. Supporting the delivery of evaluations and red team projects in high risk domains, such as CBRN and cybersecurity, with government and commercial partners. Who we're looking for: You have a track record of working with high impact AI research, evidenced by top tier academic publications or equivalent experience. You bring proven experience or a clear passion for Applied AI safety, perhaps from labs, academia, or evaluation and red team roles. You possess deep domain knowledge in language models and generative AI model architectures, including fine tuning techniques beyond API level implementation. You have practical machine learning experience, with a focus on areas such as robustness, explainability, or uncertainty estimation. You are proficient with deep learning frameworks (PyTorch, TensorFlow, or similar) and familiar with the HuggingFace ecosystem or equivalent ML tooling. You have demonstrable Python engineering experience to build and support robust research projects. You have the ability to conduct and oversee complex technical research projects and possess excellent verbal and written communication skills. Our Recruitment Ethos We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We're united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. Some of our standout benefits: Unlimited Annual Leave Policy Private healthcare and dental Enhanced parental leave Family Friendly Flexibility & Flexible working Sanctus Coaching Hybrid Working (2 days in our Old Street office, London) If you don't feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please do apply or reach out to our Talent Acquisition team for a confidential chat - Please know we are open to conversations about part time roles or condensed hours.
Overview Site Name: UK - London - New Oxford Street, Stevenage, Upper Providence, Wavre Posted Date: Feb 2 2026 We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme. We embrace modern work practises; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in-office work. Discover more about our company wide benefits and life at GSK on our webpage Life at GSK GSK Associate Director, Decision Science for Clinical Operations This is an exciting opportunity to channel your passion for innovation in the field of Statistics and Data Science to help shape the future of the Biostatistics function and transform the way in which GSK uses data and quantitative thinking to drive decision-making in R&D. Biostatistics is the single-largest functional group of Statisticians, Programmers and Data Scientists within GSK R&D, numbering approx. 900 permanent people in the US, UK, Europe and India. Our mission is to put statistical thinking at the heart of R&D decision-making, to ensure that predictive models, well-designed experiments, and trials deliver robust evidence as the input to those decisions, ultimately making the R&D process more efficient. We are investing in our cutting-edge innovation capabilities by expanding the Statistics & Data Science Innovation Hub (SDS-IH) led by Prof Nicky Best. The vision of SDS-IH is to be the catalyst for innovation and advanced data-driven decision making. In this role, you will work closely with SDS-IH to embed sophisticated analytics into Global Clinical Operations (GCO), enabling stakeholders to make timely, robust, and impactful decisions. As the Associate Director of Decision Science for Clinical Operations, you will serve as a strategic thought partner to senior R&D leadership, architecting the future of how GSK plans and executes clinical trials. Your mission is to embed sophisticated analytics and data-driven frameworks into the core of GCO. You will frame and model complex operational scenarios, quantify risks and trade-offs, and challenge assumptions to discover and unlock added value for high-impact R&D projects. By translating analytical insights into clear, actionable strategies, you will drive decision quality and accelerate the delivery of new medicines to patients. In this role you will be involved in Strategic & Facilitative Leadership Partner with GCO's Decision Analytics team to lead high-stakes strategic discussions with clinical development leadership to frame complex business problems, develop differentiated options, and define clear analytical pathways. Synthesize diverse evidence, including empirical data and expert judgment, to construct cohesive decision models that guide strategy. Influence key investment and operational decisions by translating complex model outputs into compelling narratives and actionable recommendations for executive audiences. Advanced Modeling & Analytics Implement advanced decision models to quantify risk and identify value-add opportunities in study timelines and resource allocation. Deliver robust predictive models for critical operational challenges, including patient recruitment, site performance, and milestone attainment, to create value optimal and risk-aware delivery strategies. Identify and champion non-obvious value-add opportunities by applying innovative analytical approaches to complex clinical operations challenges. 3. Technical Innovation & Capability Development Drive the design and deployment of scalable analytics solutions, including production-ready models, automated monitoring systems, and real-time data pipelines. Champion best-in-class DevOps practices, including version control (Git), CI/CD pipelines, and automated testing to ensure robust, reproducible, and scalable solutions. Train and mentor colleagues on the use of tools, methods, and structured decision frameworks to build organizational capability. Why you? Basic Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: PhD (preferred) in a quantitative field (e.g., Data Science, Statistics, Computer Science, Operations Research, Decision Analysis) or MSc with equivalent experience in the pharmaceutical or biotech industry. Proven expertise designing and building flexible decision models (e.g., Monte Carlo simulation, Bayesian analysis, scenario planning, sensitivity analysis) to quantify risk and value trade-offs. Expertise in Python or R with the ability to adapt models. Knowledge of the drug development lifecycle and Clinical Operations workflows. Track record of leading and mentoring technical teams to deliver data science solutions with measurable business impact. Exceptional communication and influencing skills, with the ability to distill complex analyses into compelling recommendations for senior leadership in a matrix environment. Preferred Qualifications & Skills: Please note the following skills are not necessary, just preferred, if you do not have them, please still apply: Hands-on experience with DevOps best practices, including Git, CI/CD, and testing. Therapeutic area depth, including knowledge of clinical development and trial design. Direct Clinical Operations experience. Decision Analysis or Management Consulting experience focused on pharmaceutical strategy or operations. Expertise in advanced methods such as Bayesian statistics, machine learning, and enrollment simulation Closing Date for Applications - 24th February 2026 Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people's lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients' needs and have the highest probability of success. We're uniting science, technology, and talent to get ahead of disease together. Find out more: Our approach to R&D Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at where you can also request a call. Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the Link where you will find answers to multiple questions we receive Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK . click apply for full job details
Feb 06, 2026
Full time
Overview Site Name: UK - London - New Oxford Street, Stevenage, Upper Providence, Wavre Posted Date: Feb 2 2026 We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme. We embrace modern work practises; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in-office work. Discover more about our company wide benefits and life at GSK on our webpage Life at GSK GSK Associate Director, Decision Science for Clinical Operations This is an exciting opportunity to channel your passion for innovation in the field of Statistics and Data Science to help shape the future of the Biostatistics function and transform the way in which GSK uses data and quantitative thinking to drive decision-making in R&D. Biostatistics is the single-largest functional group of Statisticians, Programmers and Data Scientists within GSK R&D, numbering approx. 900 permanent people in the US, UK, Europe and India. Our mission is to put statistical thinking at the heart of R&D decision-making, to ensure that predictive models, well-designed experiments, and trials deliver robust evidence as the input to those decisions, ultimately making the R&D process more efficient. We are investing in our cutting-edge innovation capabilities by expanding the Statistics & Data Science Innovation Hub (SDS-IH) led by Prof Nicky Best. The vision of SDS-IH is to be the catalyst for innovation and advanced data-driven decision making. In this role, you will work closely with SDS-IH to embed sophisticated analytics into Global Clinical Operations (GCO), enabling stakeholders to make timely, robust, and impactful decisions. As the Associate Director of Decision Science for Clinical Operations, you will serve as a strategic thought partner to senior R&D leadership, architecting the future of how GSK plans and executes clinical trials. Your mission is to embed sophisticated analytics and data-driven frameworks into the core of GCO. You will frame and model complex operational scenarios, quantify risks and trade-offs, and challenge assumptions to discover and unlock added value for high-impact R&D projects. By translating analytical insights into clear, actionable strategies, you will drive decision quality and accelerate the delivery of new medicines to patients. In this role you will be involved in Strategic & Facilitative Leadership Partner with GCO's Decision Analytics team to lead high-stakes strategic discussions with clinical development leadership to frame complex business problems, develop differentiated options, and define clear analytical pathways. Synthesize diverse evidence, including empirical data and expert judgment, to construct cohesive decision models that guide strategy. Influence key investment and operational decisions by translating complex model outputs into compelling narratives and actionable recommendations for executive audiences. Advanced Modeling & Analytics Implement advanced decision models to quantify risk and identify value-add opportunities in study timelines and resource allocation. Deliver robust predictive models for critical operational challenges, including patient recruitment, site performance, and milestone attainment, to create value optimal and risk-aware delivery strategies. Identify and champion non-obvious value-add opportunities by applying innovative analytical approaches to complex clinical operations challenges. 3. Technical Innovation & Capability Development Drive the design and deployment of scalable analytics solutions, including production-ready models, automated monitoring systems, and real-time data pipelines. Champion best-in-class DevOps practices, including version control (Git), CI/CD pipelines, and automated testing to ensure robust, reproducible, and scalable solutions. Train and mentor colleagues on the use of tools, methods, and structured decision frameworks to build organizational capability. Why you? Basic Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: PhD (preferred) in a quantitative field (e.g., Data Science, Statistics, Computer Science, Operations Research, Decision Analysis) or MSc with equivalent experience in the pharmaceutical or biotech industry. Proven expertise designing and building flexible decision models (e.g., Monte Carlo simulation, Bayesian analysis, scenario planning, sensitivity analysis) to quantify risk and value trade-offs. Expertise in Python or R with the ability to adapt models. Knowledge of the drug development lifecycle and Clinical Operations workflows. Track record of leading and mentoring technical teams to deliver data science solutions with measurable business impact. Exceptional communication and influencing skills, with the ability to distill complex analyses into compelling recommendations for senior leadership in a matrix environment. Preferred Qualifications & Skills: Please note the following skills are not necessary, just preferred, if you do not have them, please still apply: Hands-on experience with DevOps best practices, including Git, CI/CD, and testing. Therapeutic area depth, including knowledge of clinical development and trial design. Direct Clinical Operations experience. Decision Analysis or Management Consulting experience focused on pharmaceutical strategy or operations. Expertise in advanced methods such as Bayesian statistics, machine learning, and enrollment simulation Closing Date for Applications - 24th February 2026 Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people's lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients' needs and have the highest probability of success. We're uniting science, technology, and talent to get ahead of disease together. Find out more: Our approach to R&D Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at where you can also request a call. Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the Link where you will find answers to multiple questions we receive Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK . click apply for full job details
Job Requisition ID # 25WD91668 AI Research Scientist/Engineer (Multimodal) Position Overview As an AI Research Scientist at Autodesk Research, you will be doing fundamental and applied research that will help our customers imagine, design, and make a better world.We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction.This role will report to a Research Manager in the AI Lab. Responsibilities Develop new ML models and AI techniques Lead on research projects within a global team Review relevant AI/ML literature to identify emerging methods, technologies, and best practices. Explore new data sources and discover techniques for best leveraging data Minimum Qualifications A Master's or PhD in a field related to AI/ML, such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, or related disciplines Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, metrics, and benchmarks, and deploying production-ready solutions) Familiarity in statistical methods for Machine Learning (e.g. Bayesian methods, HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.) Familiarity with PyTorch, PyTorch Lightning, or similar frameworks Strong coding abilities in Python Strong Software development skills and familiarity with GPUs, MLOps, Git, High-performance large-scale ML systems and platforms. Experience with Transformers, LLMs, NLP, Multi-modal Deep Learning, and VLMs/MLLMs Publication track record in machine learning conferences and/or journals Preferred Qualifications Significant post-graduate research experience, or five or more years of work experience (actual job title/position will be commensurate with experience) Experience with foundation and open-source models, meta/transfer learning, fine-tuning, distillation, multi-task/continual learning, RL, RLxF, and/or image/audio/video/3D generation/understanding Experience or familiarity with the 3D Graphics/Animation, Manufacturing, Engineering, Architecture, and/or Construction doma Learn More About Autodesk Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world. Salary transparency Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Diversity & Belonging We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here:Please search for open jobs and apply internally (not on this external site).
Feb 05, 2026
Full time
Job Requisition ID # 25WD91668 AI Research Scientist/Engineer (Multimodal) Position Overview As an AI Research Scientist at Autodesk Research, you will be doing fundamental and applied research that will help our customers imagine, design, and make a better world.We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction.This role will report to a Research Manager in the AI Lab. Responsibilities Develop new ML models and AI techniques Lead on research projects within a global team Review relevant AI/ML literature to identify emerging methods, technologies, and best practices. Explore new data sources and discover techniques for best leveraging data Minimum Qualifications A Master's or PhD in a field related to AI/ML, such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, or related disciplines Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, metrics, and benchmarks, and deploying production-ready solutions) Familiarity in statistical methods for Machine Learning (e.g. Bayesian methods, HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.) Familiarity with PyTorch, PyTorch Lightning, or similar frameworks Strong coding abilities in Python Strong Software development skills and familiarity with GPUs, MLOps, Git, High-performance large-scale ML systems and platforms. Experience with Transformers, LLMs, NLP, Multi-modal Deep Learning, and VLMs/MLLMs Publication track record in machine learning conferences and/or journals Preferred Qualifications Significant post-graduate research experience, or five or more years of work experience (actual job title/position will be commensurate with experience) Experience with foundation and open-source models, meta/transfer learning, fine-tuning, distillation, multi-task/continual learning, RL, RLxF, and/or image/audio/video/3D generation/understanding Experience or familiarity with the 3D Graphics/Animation, Manufacturing, Engineering, Architecture, and/or Construction doma Learn More About Autodesk Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world. Salary transparency Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Diversity & Belonging We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here:Please search for open jobs and apply internally (not on this external site).
Summary Dext is a fast-growing fintech transforming bookkeeping through AI and machine learning. Our platform empowers businesses, accountants, and bookkeepers to simplify accounting processes and make smarter, more timely financial decisions. In 2024, Dext joined the IRIS Software Group, further strengthening our ability to deliver end-to-end accountancy solutions. We've achieved 99.5% data accuracy, saved over 35 million hours of manual data entry, and are trusted by 12,000 firms and 700,000 businesses globally. With integrations across all major accounting software and over 11,500 financial sources, we're proud to be at the forefront of innovation in the accounting space. Dext is looking for a Director of Financial Control who will lead our global accounting function, ensuring high-quality financial reporting, strong controls, and scalable processes to support continued growth. This role reports directly to Dext's VP of Finance and manages a team of 12 (with 9 direct reports) covering financial accounting, AP, AR, banking, financial systems and payroll over a number of geographies. Job Duties & Responsibilities Responsible for accounting and compliance across the UK, France, Australia and North America. Ensuring clean and efficient audits and all statutory reporting. Work with outsourced accountants to meet deadlines and deal with queries Lead the modernisation of Dext's financial engine, architecting and deploying automation and AI solutions to transform the month-end close and deliver a fast, insights-led reporting process. Work closely with the FP&A team to achieve a seamless, efficient and insightful month-end process including ownership of the management accounts and high level analysis. Create and implement new controls, continuously improving existing ones and achieve compliance with relevant control frameworks. Treasury management and managing the banking relationships across the group. Lead, develop and coach a team of 12, setting clear objectives and fostering a high-performing, collaborative culture. Work closely with the IRIS finance team to fulfill group audit and reporting requirements as well as exchanging best practice and aligning common processes where practical. Lead significant finance transformation initiatives, such as the conversion to IFRS reporting. Knowledge, Skills and Abilities Solid understanding of accounting and finance principles Strong business partnering and interpersonal skills Organised, flexible and easily adaptable to changing conditions Ability to work well in high pressure situations to meet deadlines Strong project management skills Ability to multi-task and manage numerous simultaneous priorities High energy, high ownership of work product and dedication and commitment to driving results Requirements 10+ years progressive accounting experience, including several years in a senior management role Experience managing and developing sizeable accounting teams Experience in a SaaS environment or accounting firm Accounting degree and/or chartered accountant qualification NetSuite experience desirable Willing to work flexible hours as required for month-end close and financial reporting process Proven experience leading audits and statutory reporting across multiple jurisdictions
Feb 04, 2026
Full time
Summary Dext is a fast-growing fintech transforming bookkeeping through AI and machine learning. Our platform empowers businesses, accountants, and bookkeepers to simplify accounting processes and make smarter, more timely financial decisions. In 2024, Dext joined the IRIS Software Group, further strengthening our ability to deliver end-to-end accountancy solutions. We've achieved 99.5% data accuracy, saved over 35 million hours of manual data entry, and are trusted by 12,000 firms and 700,000 businesses globally. With integrations across all major accounting software and over 11,500 financial sources, we're proud to be at the forefront of innovation in the accounting space. Dext is looking for a Director of Financial Control who will lead our global accounting function, ensuring high-quality financial reporting, strong controls, and scalable processes to support continued growth. This role reports directly to Dext's VP of Finance and manages a team of 12 (with 9 direct reports) covering financial accounting, AP, AR, banking, financial systems and payroll over a number of geographies. Job Duties & Responsibilities Responsible for accounting and compliance across the UK, France, Australia and North America. Ensuring clean and efficient audits and all statutory reporting. Work with outsourced accountants to meet deadlines and deal with queries Lead the modernisation of Dext's financial engine, architecting and deploying automation and AI solutions to transform the month-end close and deliver a fast, insights-led reporting process. Work closely with the FP&A team to achieve a seamless, efficient and insightful month-end process including ownership of the management accounts and high level analysis. Create and implement new controls, continuously improving existing ones and achieve compliance with relevant control frameworks. Treasury management and managing the banking relationships across the group. Lead, develop and coach a team of 12, setting clear objectives and fostering a high-performing, collaborative culture. Work closely with the IRIS finance team to fulfill group audit and reporting requirements as well as exchanging best practice and aligning common processes where practical. Lead significant finance transformation initiatives, such as the conversion to IFRS reporting. Knowledge, Skills and Abilities Solid understanding of accounting and finance principles Strong business partnering and interpersonal skills Organised, flexible and easily adaptable to changing conditions Ability to work well in high pressure situations to meet deadlines Strong project management skills Ability to multi-task and manage numerous simultaneous priorities High energy, high ownership of work product and dedication and commitment to driving results Requirements 10+ years progressive accounting experience, including several years in a senior management role Experience managing and developing sizeable accounting teams Experience in a SaaS environment or accounting firm Accounting degree and/or chartered accountant qualification NetSuite experience desirable Willing to work flexible hours as required for month-end close and financial reporting process Proven experience leading audits and statutory reporting across multiple jurisdictions
Improve the safety, efficiency, and sustainability of the operations that power the global economy. Samsara (NYSE: IOT) is the pioneer of the Connected Operations Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing - and we are excited to help digitally transform their operations at scale. Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term. About the role: We are looking for an exceptional Senior Product Manager to take a key role within one of our largest and fastest-growing businesses: Video-based Safety. Safety is not just a feature; it is the core platform differentiator and a critical reason why customers choose Samsara. This role is at the cutting edge of Applied AI and Computer Vision, operating at an incredible scale. Your team will be the driving force behind the next generation of our AI-powered features, which leverage trillions of data points from our fleet to proactively identify driving risks, prevent accidents, and save lives. This is a chance to move beyond incremental optimization and ship a product that defines the future of AI in industrial safety. You will own the vision, roadmap, and execution for a major new initiative within the Safety organization. If you are a technical PM motivated by massive ML/CV engineering challenges that have clear, positive societal outcomes, this is your opportunity. To better understand the scale and mission of this team, we encourage you to review the Samsara Cameras product overview here , and watch our SVP of Safety, Johan Land, discuss our AI-powered safety platform here . You should apply if: You want to impact the industries that run our world: Your efforts will result in real-world impact-helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely. You are the architect of your own career: If you put in the work, this role won't be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment. You're energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers. You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-caliber team that will encourage you to do your best. In this role, you will: Define and own the end-to-end product strategy for a major new area within Video-based Safety, acting as the entrepreneurial CEO of your product line. Lead the development cycle of real-time AI/ML models, from ideation and data strategy to model deployment and iteration on connected devices at massive scale. Identify, design, and take to market innovative solutions that drive measurable safety outcomes, working across Design, Engineering, and Go-to-Market teams. Develop a bold, long-term vision for your product area, while consistently maintaining the ability to dive into execution details and unblock complex technical challenges. Champion, role model, and embed Samsara's cultural principles as we scale globally. Minimum requirements for the role: 7+ years of progressive product management experience with a visible history of successfully launching and scaling technically complex products. Prior experience shipping features that rely heavily on Machine Learning, Computer Vision (CV), or large-scale IoT data processing. Strong technical acumen that enables you to establish immediate credibility with engineers; comfortable engaging in technical trade-off discussions regarding model architecture, training, and deployment. A bias-to-action and hands on experience delivering tangible business outcomes in a fast paced, high growth environment. Excellent communication skills, comfortable and effective presenting strategy and results to customers and senior executive leadership. Undergraduate or graduate degree (MS, PhD, or MBA) in Computer Science, Engineering, or a related technical field. An ideal candidate also has: Experience defining the product roadmap for hardware/software integrated systems or SaaS products that manage physical assets. A deep understanding of data quality, labeling pipelines, and MLOps best practices in a production environment. Proven ability to define key performance indicators (KPIs) for ML-driven products and use data science to measure model efficacy and business impact. At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact. Full time employees receive a competitive total compensation package along with employee-led remote and flexible working, health benefits, and much, much more. Take a look at our Benefits site to learn more. Accommodations Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email or click here if you require any reasonable accommodations throughout the recruiting process. Flexible Working At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual's ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable. Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in or ' greenhouse mail.io'. For more information regarding fraudulent employment offers, please visit our blog post here . Samsara's Mission Improve the safety, efficiency, and sustainability of the operations that power the global economy.
Feb 04, 2026
Full time
Improve the safety, efficiency, and sustainability of the operations that power the global economy. Samsara (NYSE: IOT) is the pioneer of the Connected Operations Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing - and we are excited to help digitally transform their operations at scale. Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term. About the role: We are looking for an exceptional Senior Product Manager to take a key role within one of our largest and fastest-growing businesses: Video-based Safety. Safety is not just a feature; it is the core platform differentiator and a critical reason why customers choose Samsara. This role is at the cutting edge of Applied AI and Computer Vision, operating at an incredible scale. Your team will be the driving force behind the next generation of our AI-powered features, which leverage trillions of data points from our fleet to proactively identify driving risks, prevent accidents, and save lives. This is a chance to move beyond incremental optimization and ship a product that defines the future of AI in industrial safety. You will own the vision, roadmap, and execution for a major new initiative within the Safety organization. If you are a technical PM motivated by massive ML/CV engineering challenges that have clear, positive societal outcomes, this is your opportunity. To better understand the scale and mission of this team, we encourage you to review the Samsara Cameras product overview here , and watch our SVP of Safety, Johan Land, discuss our AI-powered safety platform here . You should apply if: You want to impact the industries that run our world: Your efforts will result in real-world impact-helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely. You are the architect of your own career: If you put in the work, this role won't be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment. You're energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers. You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-caliber team that will encourage you to do your best. In this role, you will: Define and own the end-to-end product strategy for a major new area within Video-based Safety, acting as the entrepreneurial CEO of your product line. Lead the development cycle of real-time AI/ML models, from ideation and data strategy to model deployment and iteration on connected devices at massive scale. Identify, design, and take to market innovative solutions that drive measurable safety outcomes, working across Design, Engineering, and Go-to-Market teams. Develop a bold, long-term vision for your product area, while consistently maintaining the ability to dive into execution details and unblock complex technical challenges. Champion, role model, and embed Samsara's cultural principles as we scale globally. Minimum requirements for the role: 7+ years of progressive product management experience with a visible history of successfully launching and scaling technically complex products. Prior experience shipping features that rely heavily on Machine Learning, Computer Vision (CV), or large-scale IoT data processing. Strong technical acumen that enables you to establish immediate credibility with engineers; comfortable engaging in technical trade-off discussions regarding model architecture, training, and deployment. A bias-to-action and hands on experience delivering tangible business outcomes in a fast paced, high growth environment. Excellent communication skills, comfortable and effective presenting strategy and results to customers and senior executive leadership. Undergraduate or graduate degree (MS, PhD, or MBA) in Computer Science, Engineering, or a related technical field. An ideal candidate also has: Experience defining the product roadmap for hardware/software integrated systems or SaaS products that manage physical assets. A deep understanding of data quality, labeling pipelines, and MLOps best practices in a production environment. Proven ability to define key performance indicators (KPIs) for ML-driven products and use data science to measure model efficacy and business impact. At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact. Full time employees receive a competitive total compensation package along with employee-led remote and flexible working, health benefits, and much, much more. Take a look at our Benefits site to learn more. Accommodations Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email or click here if you require any reasonable accommodations throughout the recruiting process. Flexible Working At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual's ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable. Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in or ' greenhouse mail.io'. For more information regarding fraudulent employment offers, please visit our blog post here . Samsara's Mission Improve the safety, efficiency, and sustainability of the operations that power the global economy.
Coeo is a Microsoft-exclusive Data & AI consultancy with deep expertise across the Microsoft data ecosystem. We help organizations solve challenges using data strategy, engineering, AI, analytics, visualization, and fully managed services. We're trusted by leading brands and organizations to design and deliver outcomes that focus on their customers, empower their people, improve operations, and drive innovation. Our work has earned us multiple Microsoft Advanced Specializations - including AI & Machine Learning, Analytics, and Infra & Database Migration - as well as recognition as a Best Place to Work in both tech and career development. You'lljoin a supportive, high-performing team where you can shape your own path through certifications, impactful and wide-ranging client projects, or developingnew solutionsfrom the ground up. Ifyou'dlike a behind-the-scenes view of life at Coeo, check out our "In a Week ," "In a Month ," and "In a Year " new starter blogs. Job Summary The Managing Principal Consultant leads strategic consulting engagements and oversees high-performing teams to deliver value-driven solutions for clients. This role combines client relationship management, business development, and team leadership. The ideal candidate drives project success, mentors consultants, and ensures alignment with both client objectives and the firm's strategic goals. Key Responsibilities Consulting and Technical Leadership Take a leading role on our engagements working with all stakeholders to deliver success for our clients whilst maintaining a profitable outcome for Coeo. Ensure that you hit your own personal billable target as set by the company for time to time. Drive high-quality deliverables using recommended technologies and best practices combined with your expertise and prior knowledge of how to deliver similar projects. Where required support pre sales activities in collaboration with the Business Development team. Where required work with other colleagues to design, shape, plan and help price our engagements. Raise risks, issues and opportunities for improvement appropriately and proactively with internal team ensuring you are always approaching challenges with a solution orientated mindset. Contribute to the continued development of internal standards, processes, and service offerings to improve efficiency and consistency with an understanding that Coeo is a growing business and these processes and offerings will need to change over time. Maintain and support certifications and accreditations aligned with Coeo's strategic direction. Act as a technical escalation point for consultants, ensuring client satisfaction and delivery quality. Provide strategic guidance to key clients and ensure their expectations are consistently met or exceeded. Mentor and support team members to foster skills development and delivery excellence. Be flexible and willing to travel to client sites across the UK and occasionally abroad, including overnight stays when required. Team and Operational Management Lead and manage a team of consultants, ensuring effective performance, motivation, and career development. Provide advice and guidance to staff members on how to develop their skills to ensure that they are able to be deployed on our engagements. Conduct regular one to ones, performance reviews, and support professional growth plans for team members as defined by our people team and the practice management. Work with the scheduling team to help identify the correct resources for projects based on skillsets, availability, and client needs. Collaborate with other practice leaders to support recruitment. Promote a positive team culture focused on empathy, collaboration, accountability, and continuous improvement. Champion knowledge sharing, training, and community building within the consulting practice. Technical Skills You'll need to have experience with some of the following and be able to learn new technologies or concepts quickly: Deep experience with Databricks on Microsoft Azure, including Delta Lake, Unity Catalog, Delta Live Tables, PySpark and Databricks SQL, alongside complementary services such as Azure Data Factory, Synapse Analytics, and Microsoft Fabric. Designing and implementing Lakehouse architectures in Databricks to unify data warehousing and data lake capabilities, enabling scalable analytics and governance. Building and orchestrating Databricks notebooks, Delta Live Tables, Databricks Jobs and integration with Azure Data Factory for enterprise scale data ingestion and transformation. Proficiency in Python and PySpark for advanced data engineering, machine learning, and large scale distributed processing within Databricks. Hands on experience with Spark optimisations (Adaptive Query Execution, caching, partitioning, broadcast joins) to deliver performant solutions for big data workloads. Advanced knowledge of BI and visualisation tools such as Power BI, integrated with Databricks SQL endpoints for interactive reporting and dashboards. Strong understanding of statistical methods and ML frameworks (MLflow, scikit learn, TensorFlow) for predictive modelling, experiment tracking, and deployment within Databricks. Project Delivery Experience 7+ years of experience with Microsoft data technologies. 8+ years in Professional Services, client facing delivery roles. Deep knowledge of BI and data warehousing concepts. Solid experience with data modelling, data structures, and ETL processes. Excellent communication and stakeholder management skills. Comfortable explaining technical concepts to varied audiences. What Experience/Skills Do I Need? Proven ability to lead client engagements and internal teams to deliver successful outcomes. Commercial experience in pre sales, estimation, and scoping for SOWs. Strong client relationship skills, with a track record of high client satisfaction. Excellent communication and presentation skills, both verbal and written. Strategic mindset with operational decision making ability. Capable of influencing and guiding both clients and internal teams. Proactive in identifying new opportunities and resolving challenges. Benefits and Perks Hybrid working available, we have a lovely office in Thames Valley Park just outside Reading and expect our staff to attend at least once per month. Comprehensive benefits package including a healthcare scheme, Pension, Life Assurance and Income Protection. We care about your well being so have invested resources such as GP and other health services and training help to ensure you can be at your best with us. Very friendly, inclusive culture, with strong team spirit. Company growth and new projects means ongoing career progression options. Up to date technology, so collaboration has never been easier. Cutting edge technology projects - exciting goals ahead! Please Note You must have a UK passport or be able to live and work in the UK without employer sponsorship. You can also send your CV to Diversity and Inclusion Coeo is an equal opportunity employer which celebrates Diversity and has a commitment to inclusion. All applicants will be considered for employment with us without attention to age, race, colour, religion, sex or sexual orientation, gender identity, national origin and disability.
Feb 04, 2026
Full time
Coeo is a Microsoft-exclusive Data & AI consultancy with deep expertise across the Microsoft data ecosystem. We help organizations solve challenges using data strategy, engineering, AI, analytics, visualization, and fully managed services. We're trusted by leading brands and organizations to design and deliver outcomes that focus on their customers, empower their people, improve operations, and drive innovation. Our work has earned us multiple Microsoft Advanced Specializations - including AI & Machine Learning, Analytics, and Infra & Database Migration - as well as recognition as a Best Place to Work in both tech and career development. You'lljoin a supportive, high-performing team where you can shape your own path through certifications, impactful and wide-ranging client projects, or developingnew solutionsfrom the ground up. Ifyou'dlike a behind-the-scenes view of life at Coeo, check out our "In a Week ," "In a Month ," and "In a Year " new starter blogs. Job Summary The Managing Principal Consultant leads strategic consulting engagements and oversees high-performing teams to deliver value-driven solutions for clients. This role combines client relationship management, business development, and team leadership. The ideal candidate drives project success, mentors consultants, and ensures alignment with both client objectives and the firm's strategic goals. Key Responsibilities Consulting and Technical Leadership Take a leading role on our engagements working with all stakeholders to deliver success for our clients whilst maintaining a profitable outcome for Coeo. Ensure that you hit your own personal billable target as set by the company for time to time. Drive high-quality deliverables using recommended technologies and best practices combined with your expertise and prior knowledge of how to deliver similar projects. Where required support pre sales activities in collaboration with the Business Development team. Where required work with other colleagues to design, shape, plan and help price our engagements. Raise risks, issues and opportunities for improvement appropriately and proactively with internal team ensuring you are always approaching challenges with a solution orientated mindset. Contribute to the continued development of internal standards, processes, and service offerings to improve efficiency and consistency with an understanding that Coeo is a growing business and these processes and offerings will need to change over time. Maintain and support certifications and accreditations aligned with Coeo's strategic direction. Act as a technical escalation point for consultants, ensuring client satisfaction and delivery quality. Provide strategic guidance to key clients and ensure their expectations are consistently met or exceeded. Mentor and support team members to foster skills development and delivery excellence. Be flexible and willing to travel to client sites across the UK and occasionally abroad, including overnight stays when required. Team and Operational Management Lead and manage a team of consultants, ensuring effective performance, motivation, and career development. Provide advice and guidance to staff members on how to develop their skills to ensure that they are able to be deployed on our engagements. Conduct regular one to ones, performance reviews, and support professional growth plans for team members as defined by our people team and the practice management. Work with the scheduling team to help identify the correct resources for projects based on skillsets, availability, and client needs. Collaborate with other practice leaders to support recruitment. Promote a positive team culture focused on empathy, collaboration, accountability, and continuous improvement. Champion knowledge sharing, training, and community building within the consulting practice. Technical Skills You'll need to have experience with some of the following and be able to learn new technologies or concepts quickly: Deep experience with Databricks on Microsoft Azure, including Delta Lake, Unity Catalog, Delta Live Tables, PySpark and Databricks SQL, alongside complementary services such as Azure Data Factory, Synapse Analytics, and Microsoft Fabric. Designing and implementing Lakehouse architectures in Databricks to unify data warehousing and data lake capabilities, enabling scalable analytics and governance. Building and orchestrating Databricks notebooks, Delta Live Tables, Databricks Jobs and integration with Azure Data Factory for enterprise scale data ingestion and transformation. Proficiency in Python and PySpark for advanced data engineering, machine learning, and large scale distributed processing within Databricks. Hands on experience with Spark optimisations (Adaptive Query Execution, caching, partitioning, broadcast joins) to deliver performant solutions for big data workloads. Advanced knowledge of BI and visualisation tools such as Power BI, integrated with Databricks SQL endpoints for interactive reporting and dashboards. Strong understanding of statistical methods and ML frameworks (MLflow, scikit learn, TensorFlow) for predictive modelling, experiment tracking, and deployment within Databricks. Project Delivery Experience 7+ years of experience with Microsoft data technologies. 8+ years in Professional Services, client facing delivery roles. Deep knowledge of BI and data warehousing concepts. Solid experience with data modelling, data structures, and ETL processes. Excellent communication and stakeholder management skills. Comfortable explaining technical concepts to varied audiences. What Experience/Skills Do I Need? Proven ability to lead client engagements and internal teams to deliver successful outcomes. Commercial experience in pre sales, estimation, and scoping for SOWs. Strong client relationship skills, with a track record of high client satisfaction. Excellent communication and presentation skills, both verbal and written. Strategic mindset with operational decision making ability. Capable of influencing and guiding both clients and internal teams. Proactive in identifying new opportunities and resolving challenges. Benefits and Perks Hybrid working available, we have a lovely office in Thames Valley Park just outside Reading and expect our staff to attend at least once per month. Comprehensive benefits package including a healthcare scheme, Pension, Life Assurance and Income Protection. We care about your well being so have invested resources such as GP and other health services and training help to ensure you can be at your best with us. Very friendly, inclusive culture, with strong team spirit. Company growth and new projects means ongoing career progression options. Up to date technology, so collaboration has never been easier. Cutting edge technology projects - exciting goals ahead! Please Note You must have a UK passport or be able to live and work in the UK without employer sponsorship. You can also send your CV to Diversity and Inclusion Coeo is an equal opportunity employer which celebrates Diversity and has a commitment to inclusion. All applicants will be considered for employment with us without attention to age, race, colour, religion, sex or sexual orientation, gender identity, national origin and disability.
A leading fintech company is seeking an AI model team member to innovate architecture development for advanced models. You will enhance intelligence, improve efficiency, and explore novel techniques to advance AI. The ideal candidate has a PhD in NLP or Machine Learning, along with practical experience in LLM training using NVIDIA GPUs. This remote role offers the opportunity to work with global talent and make impactful contributions in the fintech space.
Feb 03, 2026
Full time
A leading fintech company is seeking an AI model team member to innovate architecture development for advanced models. You will enhance intelligence, improve efficiency, and explore novel techniques to advance AI. The ideal candidate has a PhD in NLP or Machine Learning, along with practical experience in LLM training using NVIDIA GPUs. This remote role offers the opportunity to work with global talent and make impactful contributions in the fintech space.
About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy , and Fellows from our award winning Fellowship programme . Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. This is a new, senior-level position created due to rapid growth and increased demand. The ideal candidate will be an established technology leader with a strong background in AI and machine learning, particularly within the financial services sector. You will balance technical expertise with commercial and strategic leadership, driving the development and delivery of high-caliber AI solutions for our clients, which include banks, asset managers, insurers, and law firms. Your role will be to lead and mentor a team of world-class data scientists and machine learning engineers, and you will work with the business unit leadership to develop a differentiated technical vision for the business unit. What you'll do: Technical Leadership and Delivery Provide hands-on technical guidance for complex, high-priority projects (40% of your time). Lead the development and delivery of advanced AI solutions and ensure technical excellence across the business unit. Advise on solution architecture, advanced modelling and engineering best practices. Identify and implement new tools and processes to enhance delivery quality. Team Leadership and Strategy Define and champion the technical vision for our professional and financial services clients. Lead recruiting, team structure, and professional development for technical staff. Collaborate with the Business Unit Director on commercial strategy and project resourcing. Business Development Act as a technical authority in client meetings to secure and expand market opportunities. Create and share technical thought leadership through conferences, articles, and other media. Identify new market opportunities and technologies. Who we're looking for An experienced technology leader with a track record of successfully leading AI/ML strategy and project delivery. Strong understanding of MLOps, with experience deploying commercially valuable AI applications in financial services. Experience leading full-stack technology teams, with a solid grasp of systems architecture and engineering fundamentals. Knowledge of the financial services landscape, including commercial drivers and the ability to articulate how AI can accelerate business outcomes. Strong communication skills, with the ability to explain complex technical information to both internal and external stakeholders. A proven interest in and ability to mentor and develop team members. A pragmatic and outcome-focused mindset, balancing big-picture strategy with real-world execution. What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.
Feb 02, 2026
Full time
About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy , and Fellows from our award winning Fellowship programme . Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. This is a new, senior-level position created due to rapid growth and increased demand. The ideal candidate will be an established technology leader with a strong background in AI and machine learning, particularly within the financial services sector. You will balance technical expertise with commercial and strategic leadership, driving the development and delivery of high-caliber AI solutions for our clients, which include banks, asset managers, insurers, and law firms. Your role will be to lead and mentor a team of world-class data scientists and machine learning engineers, and you will work with the business unit leadership to develop a differentiated technical vision for the business unit. What you'll do: Technical Leadership and Delivery Provide hands-on technical guidance for complex, high-priority projects (40% of your time). Lead the development and delivery of advanced AI solutions and ensure technical excellence across the business unit. Advise on solution architecture, advanced modelling and engineering best practices. Identify and implement new tools and processes to enhance delivery quality. Team Leadership and Strategy Define and champion the technical vision for our professional and financial services clients. Lead recruiting, team structure, and professional development for technical staff. Collaborate with the Business Unit Director on commercial strategy and project resourcing. Business Development Act as a technical authority in client meetings to secure and expand market opportunities. Create and share technical thought leadership through conferences, articles, and other media. Identify new market opportunities and technologies. Who we're looking for An experienced technology leader with a track record of successfully leading AI/ML strategy and project delivery. Strong understanding of MLOps, with experience deploying commercially valuable AI applications in financial services. Experience leading full-stack technology teams, with a solid grasp of systems architecture and engineering fundamentals. Knowledge of the financial services landscape, including commercial drivers and the ability to articulate how AI can accelerate business outcomes. Strong communication skills, with the ability to explain complex technical information to both internal and external stakeholders. A proven interest in and ability to mentor and develop team members. A pragmatic and outcome-focused mindset, balancing big-picture strategy with real-world execution. What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.
Designation Senior Principal Analyst Function Sales Enablement Experience 5-10 years Location United Kingdom - Edinburgh, London, Manchester Skills AI, Machine Learning, Solution Architecture You'll be part of a collaborative, entrepreneurial environment that values innovation, excellence, and thought leadership. This is more than a sales-adjacent role - it's your opportunity to shape the future of data & AI consulting and lead from the front as businesses navigate the next wave of intelligent transformation. If you're ready to bring bold ideas to life and influence how data & AI transforms industries - we'd love to hear from you. Requirements GlobalLogic is seeking a Go-to-Market (GTM) Solutions Architect for AI/ML solutions to drive the growth of our pipeline in our Intelligent Enterprise practice in the UK & Ireland. This is a high-impact role at the intersection of technology, consulting, and innovation - shaping and scaling our Data & AI offerings across four transformative domains: Data Platforms Data & ML Operations Generative & Agentic AI You'll partner with Sales, Marketing, and Delivery teams to co-create solutions, design winning proposals, and accelerate business growth. Ideal for senior data consultants, data architects, or pre-sales experts, this is a chance to lead at the forefront of data & AI innovation during a period of exciting expansion for GlobalLogic. What You'll Bring We're looking for a candidate who blends deep technical expertise with strong commercial instincts and a passion for AI-driven transformation. You should have: 5+ years of consulting and/or delivery experience in data & AI, ideally within professional services or a high-growth tech environment. A successful track record of developing and closing £M+ data & AI deals with business stakeholders. Strong expertise in AI/ML market offerings and related solutions (Gen AI, Agentic AI, ML Ops, Model Ops) as well as one or more other core technology areas - such as modern data platforms, data product engineering, data marketplace architecture, data developer portals, platform engineering. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills - able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in AI/ML such as speaking at industry events, contributing to whitepapers, mentoring, and publishing technical insights. A global mindset, with experience working across geographies including India, Eastern Europe, and North America. Job responsibilities Design, refine, and package cutting-edge data & AI offerings for GlobalLogic's customers - primarily focused on AI & ML engineering & operations Lead technical pre-sales activities including workshops, PoCs, proposals, RFIs/RFPs, SoWs, and cost modelling. Provide strategic and technical guidance to internal teams and clients. Collaborate with adjacent GTM teams to build holistic, market-leading propositions. Stay current with evolving AI/ML technologies. Cultivate strong relationships with technology partners to co-develop joint solutions. What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you'll experience an inclusive culture of acceptance and belonging, where you'll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You'll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you'll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what's possible and bring new solutions to market. In the process, you'll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you're placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, we've been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services. Apply Now First Name Last Name Email Phone Gender The gender information on this form helps us understand the makeup of our applicant pool in this key area, and to continuously improve our efforts to make our workforce more inclusive. Country of Residence City How did you hear about this job? Upload Resume / Share LinkedIn Profile Drag and drop your file here or click here to upload Only .docx, .rtf, .pdf formats allowed to a max size of 5 MB. Alternately you can include your Linkedin profile I want to be considered for future open positions within the GlobalLogic group. Your data will be kept in GlobalLogic's database for 3 years. You can withdraw your consent at any time by contacting . You can find more information about how GlobalLogic processes your personal data and what your rights are in the Recruitment Privacy Notice .
Feb 02, 2026
Full time
Designation Senior Principal Analyst Function Sales Enablement Experience 5-10 years Location United Kingdom - Edinburgh, London, Manchester Skills AI, Machine Learning, Solution Architecture You'll be part of a collaborative, entrepreneurial environment that values innovation, excellence, and thought leadership. This is more than a sales-adjacent role - it's your opportunity to shape the future of data & AI consulting and lead from the front as businesses navigate the next wave of intelligent transformation. If you're ready to bring bold ideas to life and influence how data & AI transforms industries - we'd love to hear from you. Requirements GlobalLogic is seeking a Go-to-Market (GTM) Solutions Architect for AI/ML solutions to drive the growth of our pipeline in our Intelligent Enterprise practice in the UK & Ireland. This is a high-impact role at the intersection of technology, consulting, and innovation - shaping and scaling our Data & AI offerings across four transformative domains: Data Platforms Data & ML Operations Generative & Agentic AI You'll partner with Sales, Marketing, and Delivery teams to co-create solutions, design winning proposals, and accelerate business growth. Ideal for senior data consultants, data architects, or pre-sales experts, this is a chance to lead at the forefront of data & AI innovation during a period of exciting expansion for GlobalLogic. What You'll Bring We're looking for a candidate who blends deep technical expertise with strong commercial instincts and a passion for AI-driven transformation. You should have: 5+ years of consulting and/or delivery experience in data & AI, ideally within professional services or a high-growth tech environment. A successful track record of developing and closing £M+ data & AI deals with business stakeholders. Strong expertise in AI/ML market offerings and related solutions (Gen AI, Agentic AI, ML Ops, Model Ops) as well as one or more other core technology areas - such as modern data platforms, data product engineering, data marketplace architecture, data developer portals, platform engineering. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills - able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in AI/ML such as speaking at industry events, contributing to whitepapers, mentoring, and publishing technical insights. A global mindset, with experience working across geographies including India, Eastern Europe, and North America. Job responsibilities Design, refine, and package cutting-edge data & AI offerings for GlobalLogic's customers - primarily focused on AI & ML engineering & operations Lead technical pre-sales activities including workshops, PoCs, proposals, RFIs/RFPs, SoWs, and cost modelling. Provide strategic and technical guidance to internal teams and clients. Collaborate with adjacent GTM teams to build holistic, market-leading propositions. Stay current with evolving AI/ML technologies. Cultivate strong relationships with technology partners to co-develop joint solutions. What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you'll experience an inclusive culture of acceptance and belonging, where you'll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You'll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you'll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what's possible and bring new solutions to market. In the process, you'll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you're placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, we've been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services. Apply Now First Name Last Name Email Phone Gender The gender information on this form helps us understand the makeup of our applicant pool in this key area, and to continuously improve our efforts to make our workforce more inclusive. Country of Residence City How did you hear about this job? Upload Resume / Share LinkedIn Profile Drag and drop your file here or click here to upload Only .docx, .rtf, .pdf formats allowed to a max size of 5 MB. Alternately you can include your Linkedin profile I want to be considered for future open positions within the GlobalLogic group. Your data will be kept in GlobalLogic's database for 3 years. You can withdraw your consent at any time by contacting . You can find more information about how GlobalLogic processes your personal data and what your rights are in the Recruitment Privacy Notice .
Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent. Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers. What's the opportunity? We're building a new function at Intercom: AI Product Management. For over a decade, Intercom has invested in in house AI, with a team of machine learning scientists, ML engineers, researchers, and AI designers. Now, we're expanding this team with product managers who will define the future of Intercom's AI platform and AI agent. As a Senior AI Product Manager, you'll shape the vision, strategy, and roadmap for core AI systems that power Fin and Intercom's AI features. You'll work at the intersection of advanced AI research, cutting edge product development, and real customer problems, helping us build world class AI products that deliver meaningful business impact. This is a high ownership role for a technical, customer obsessed PM who thrives in fast moving, ambiguous environments and loves turning complex AI capabilities into simple, delightful product experiences. What will I be doing? Lead a major part of our AI product surface. You'll own an important area of Intercom's AI platform or AI agent and be accountable for its vision, strategy, and impact. Deeply understand customers, the business, and the technology. You'll learn the space inside out: what customers need, where the business is going, and how our AI systems work. You'll use this understanding to make high quality decisions and build a compelling roadmap. Work side by side with a world class AI team. You'll collaborate every day with ML scientists, ML engineers, AI designers, and ML researchers. Together you'll explore new ideas, assess feasibility, evaluate trade offs, and turn advanced AI capabilities into high value product experiences. Ship ambitious, high quality AI product. You'll take AI concepts from early exploration through to production launches. You'll run fast experiments, define success metrics, evaluate performance, and iterate until the experiences are both effective and delightful. Collaborate across the company. You'll work closely with our core product org to integrate AI across the Intercom platform, and partner with GTM, marketing, support, and operations to drive adoption and customer impact. Lead through clarity, ownership, and momentum. You'll bring teams together, communicate decisions clearly, create alignment, and consistently push toward impactful outcomes. What skills do I need? Strong AI and technical fluency. You've built or worked deeply with AI/ML products, ideally including generative AI. You can discuss model behaviour, evaluation, prompts, architectures, constraints, and trade offs with technical partners. You're comfortable working autonomously in complex technical spaces. Excellent product judgment. You balance customer needs, business goals, and technical realities. You know when to push for ambitious ideas and when to iterate quickly. You can turn new or ambiguous AI capabilities into clear, valuable product experiences. Sharp problem framing and customer insight. You can independently understand and articulate complex problems using research, data, and direct customer conversations. You translate complexity into crisp problem statements for your team. Ability to build world class product. You collaborate deeply with engineering and design to ship high quality software. You know how to test, measure, and iterate on AI systems and user facing AI features. You care deeply about safety, reliability, and delivering customer value. Strong communication and leadership. You influence widely, bring structure to ambiguity, and create momentum. You communicate clearly and frequently, keeping partners aligned and engaged. You take ownership and raise the bar for the team around you. Why you'll love it here You'll work with an experienced AI team that has been shipping AI long before it was mainstream. You'll have real autonomy, real impact, and real responsibility. You'll help build the next generation of customer service through the power of AI. You'll help shape the future of AI PM craft at Intercom. We are a well treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to us! Competitive salary and equity in a fast growing start up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Pension scheme & match up to 4% Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Flexible paid time off policy Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones If you're cycling, we've got you covered on the Cycle to Work Scheme. With secure bike storage too MacBooks are our standard, but we also offer Windows for certain roles when needed. Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values. Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
Feb 02, 2026
Full time
Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent. Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers. What's the opportunity? We're building a new function at Intercom: AI Product Management. For over a decade, Intercom has invested in in house AI, with a team of machine learning scientists, ML engineers, researchers, and AI designers. Now, we're expanding this team with product managers who will define the future of Intercom's AI platform and AI agent. As a Senior AI Product Manager, you'll shape the vision, strategy, and roadmap for core AI systems that power Fin and Intercom's AI features. You'll work at the intersection of advanced AI research, cutting edge product development, and real customer problems, helping us build world class AI products that deliver meaningful business impact. This is a high ownership role for a technical, customer obsessed PM who thrives in fast moving, ambiguous environments and loves turning complex AI capabilities into simple, delightful product experiences. What will I be doing? Lead a major part of our AI product surface. You'll own an important area of Intercom's AI platform or AI agent and be accountable for its vision, strategy, and impact. Deeply understand customers, the business, and the technology. You'll learn the space inside out: what customers need, where the business is going, and how our AI systems work. You'll use this understanding to make high quality decisions and build a compelling roadmap. Work side by side with a world class AI team. You'll collaborate every day with ML scientists, ML engineers, AI designers, and ML researchers. Together you'll explore new ideas, assess feasibility, evaluate trade offs, and turn advanced AI capabilities into high value product experiences. Ship ambitious, high quality AI product. You'll take AI concepts from early exploration through to production launches. You'll run fast experiments, define success metrics, evaluate performance, and iterate until the experiences are both effective and delightful. Collaborate across the company. You'll work closely with our core product org to integrate AI across the Intercom platform, and partner with GTM, marketing, support, and operations to drive adoption and customer impact. Lead through clarity, ownership, and momentum. You'll bring teams together, communicate decisions clearly, create alignment, and consistently push toward impactful outcomes. What skills do I need? Strong AI and technical fluency. You've built or worked deeply with AI/ML products, ideally including generative AI. You can discuss model behaviour, evaluation, prompts, architectures, constraints, and trade offs with technical partners. You're comfortable working autonomously in complex technical spaces. Excellent product judgment. You balance customer needs, business goals, and technical realities. You know when to push for ambitious ideas and when to iterate quickly. You can turn new or ambiguous AI capabilities into clear, valuable product experiences. Sharp problem framing and customer insight. You can independently understand and articulate complex problems using research, data, and direct customer conversations. You translate complexity into crisp problem statements for your team. Ability to build world class product. You collaborate deeply with engineering and design to ship high quality software. You know how to test, measure, and iterate on AI systems and user facing AI features. You care deeply about safety, reliability, and delivering customer value. Strong communication and leadership. You influence widely, bring structure to ambiguity, and create momentum. You communicate clearly and frequently, keeping partners aligned and engaged. You take ownership and raise the bar for the team around you. Why you'll love it here You'll work with an experienced AI team that has been shipping AI long before it was mainstream. You'll have real autonomy, real impact, and real responsibility. You'll help build the next generation of customer service through the power of AI. You'll help shape the future of AI PM craft at Intercom. We are a well treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to us! Competitive salary and equity in a fast growing start up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Pension scheme & match up to 4% Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Flexible paid time off policy Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones If you're cycling, we've got you covered on the Cycle to Work Scheme. With secure bike storage too MacBooks are our standard, but we also offer Windows for certain roles when needed. Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values. Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
Freelance Spatial AI and Machine Learning Consultant Contract: February December 2026 Days: Up to 24 days total (typically 1 2 days per week, with higher demand in the first quarter) Location: Remote, UK-based Rate: Self employed day rate aligned with equivalent annual salary A national environmental charity is seeking an experienced Freelance Spatial AI and Machine Learning Consultant to help shape and deliver two innovative geospatial digital products. These tools one a predictive risk model, the other a computer vision system for detecting and classifying litter will play a key role in improving public spaces, reducing waste, and supporting future data integration. This is a unique opportunity to lead the strategic and technical development of cutting edge AI/ML systems that will have real world environmental impact. You will partner with the charity s Research & Intervention Lead, Project Director and in house Data Analyst to design, build, validate and embed robust AI/ML frameworks. Your expertise will guide the full lifecycle of both projects, ensuring technical excellence, reproducibility, and long term sustainability. Key ResponsibilitiesStrategic & Technical Leadership Review project objectives and shape the technical direction of both AI/ML products. Advise on model selection, training, testing and deployment strategies. Provide recommendations that consider scalability, licensing, futureproofing and cost effectiveness. Contribute to final recommendations on how the enhanced frameworks can support national scale litter prevention and resource targeting. Risk Model Review & Enhancement Evaluate the existing geospatial modelling pipeline, including architecture, data inputs, feature engineering and algorithm performance. Recommend improvements to workflows, feature sets and geospatial techniques. Support experimentation using predictive modelling approaches such as Random Forest and Gradient Boosting. Strengthen validation processes, including training/testing design, diagnostics and error analysis. Conduct independent quality assurance to assess robustness, stability and interpretability. Computer Vision System Development Define the vision, success criteria and performance targets for a new litter detection computer vision model. Develop a data acquisition and annotation strategy with strong QA processes. Evaluate alternative model families, annotation schemas and deployment architectures. Validate the end to end development plan, ensuring alignment with scope, timeline and complexity. Design evaluation and error analysis frameworks to measure real world performance and guide iteration. Advise on long term sustainability, technical debt reduction and modular upgrade pathways. Stakeholder & Project Management Manage milestones, dependencies and deliverables, keeping internal stakeholders aligned. Communicate technical concepts clearly to non technical audiences. Provide written technical notes and participate in short progress meetings. Capacity Building & Documentation Mentor internal staff on advanced predictive and spatial modelling methods. Review and contribute to clear, auditable technical documentation. Person SpecificationEssential Minimum 5 years professional experience in AI, predictive analytics and machine learning model development. Strong proficiency in spatial data science and GIS enabled modelling (QGIS, ArcGIS Pro or Python GIS stack). Skilled in PyTorch, Ultralytics YOLO and cloud data management (AWS or Azure). Experience working with UK socio environmental datasets (IMD, ONS, land use, accessibility). Experience integrating models into offline or on prem environments. Ability to identify risks early and propose practical mitigation strategies. Proven experience maintaining stakeholder alignment across project milestones. Right to work in the UK, ability to demonstrate contractor status, and professional indemnity insurance. Desirable Experience in environmental risk modelling, urban analytics or behavioural data analysis. Understanding of geostatistics, spatial interpolation and postcode level disaggregation. Familiarity with environmental behaviour change programmes. If you re excited by the opportunity to shape impactful AI systems that support cleaner, greener communities, we d love to hear from you. For more information, please contact Hannah at NFP People.
Feb 01, 2026
Full time
Freelance Spatial AI and Machine Learning Consultant Contract: February December 2026 Days: Up to 24 days total (typically 1 2 days per week, with higher demand in the first quarter) Location: Remote, UK-based Rate: Self employed day rate aligned with equivalent annual salary A national environmental charity is seeking an experienced Freelance Spatial AI and Machine Learning Consultant to help shape and deliver two innovative geospatial digital products. These tools one a predictive risk model, the other a computer vision system for detecting and classifying litter will play a key role in improving public spaces, reducing waste, and supporting future data integration. This is a unique opportunity to lead the strategic and technical development of cutting edge AI/ML systems that will have real world environmental impact. You will partner with the charity s Research & Intervention Lead, Project Director and in house Data Analyst to design, build, validate and embed robust AI/ML frameworks. Your expertise will guide the full lifecycle of both projects, ensuring technical excellence, reproducibility, and long term sustainability. Key ResponsibilitiesStrategic & Technical Leadership Review project objectives and shape the technical direction of both AI/ML products. Advise on model selection, training, testing and deployment strategies. Provide recommendations that consider scalability, licensing, futureproofing and cost effectiveness. Contribute to final recommendations on how the enhanced frameworks can support national scale litter prevention and resource targeting. Risk Model Review & Enhancement Evaluate the existing geospatial modelling pipeline, including architecture, data inputs, feature engineering and algorithm performance. Recommend improvements to workflows, feature sets and geospatial techniques. Support experimentation using predictive modelling approaches such as Random Forest and Gradient Boosting. Strengthen validation processes, including training/testing design, diagnostics and error analysis. Conduct independent quality assurance to assess robustness, stability and interpretability. Computer Vision System Development Define the vision, success criteria and performance targets for a new litter detection computer vision model. Develop a data acquisition and annotation strategy with strong QA processes. Evaluate alternative model families, annotation schemas and deployment architectures. Validate the end to end development plan, ensuring alignment with scope, timeline and complexity. Design evaluation and error analysis frameworks to measure real world performance and guide iteration. Advise on long term sustainability, technical debt reduction and modular upgrade pathways. Stakeholder & Project Management Manage milestones, dependencies and deliverables, keeping internal stakeholders aligned. Communicate technical concepts clearly to non technical audiences. Provide written technical notes and participate in short progress meetings. Capacity Building & Documentation Mentor internal staff on advanced predictive and spatial modelling methods. Review and contribute to clear, auditable technical documentation. Person SpecificationEssential Minimum 5 years professional experience in AI, predictive analytics and machine learning model development. Strong proficiency in spatial data science and GIS enabled modelling (QGIS, ArcGIS Pro or Python GIS stack). Skilled in PyTorch, Ultralytics YOLO and cloud data management (AWS or Azure). Experience working with UK socio environmental datasets (IMD, ONS, land use, accessibility). Experience integrating models into offline or on prem environments. Ability to identify risks early and propose practical mitigation strategies. Proven experience maintaining stakeholder alignment across project milestones. Right to work in the UK, ability to demonstrate contractor status, and professional indemnity insurance. Desirable Experience in environmental risk modelling, urban analytics or behavioural data analysis. Understanding of geostatistics, spatial interpolation and postcode level disaggregation. Familiarity with environmental behaviour change programmes. If you re excited by the opportunity to shape impactful AI systems that support cleaner, greener communities, we d love to hear from you. For more information, please contact Hannah at NFP People.
Apex Resources limited are on the lookout for a Machine Learning Engineer (Agentic AI) in Glasgow for a hybrid role. A leading Glasgow-based AI firm is building next-generation agentic AI products that automate complex tax and finance workflows for UK accountancy firms and in-house finance teams. The platform leverages large language models and intelligent orchestration to remove repetitive work and free specialists to focus on higher-value advice. The role You will join a small, high-calibre engineering team as an AI Developer, working on the core agentic AI platform for tax and finance automation. Day-to-day, you will design, build and ship production-grade features across the AI orchestration, reasoning and integration layers. Typical work includes: Designing and implementing agentic AI workflows that coordinate LLMs, tools and reasoning engines to handle end-to-end finance and tax processes. Building robust back-end services and APIs to support document ingestion, data extraction, multi-step reasoning and autonomous execution. Working with modern LLM tooling (advanced prompting, retrieval-augmented generation, tool calling, evaluation frameworks) to optimise accuracy, latency and reliability for real client workloads. Collaborating with product managers, domain SMEs (tax and finance) and fellow AI engineers to deliver features from concept through to production. Contributing to code quality, observability and secure engineering practices in a regulated, data-sensitive environment. Our tech stack You do not need experience with everything below, but you should be strong in several and able to learn the rest quickly. Languages: Python (core), plus exposure to TypeScript/JavaScript helpful for front-end integrations. AI & data: LLMs (OpenAI/Anthropic-style APIs), vector databases/RAG, agent frameworks, basic MLOps for deploying and monitoring AI systems in production. Orchestration: Workflow engines, event-driven architectures, multi-agent coordination systems. Cloud & infra: Azure or AWS, containerised services (Docker/Kubernetes), CI/CD pipelines and modern DevOps practices. Platform integrations: Connecting agentic AI to third-party tax/finance systems and APIs within customers existing tech stacks. What we re looking for Essential: 2+ years post-graduate experience as a Software Engineer / AI Engineer / ML Engineer working on production AI systems. Strong software engineering fundamentals: clean code, testing, version control and debugging in Python or similar. A Master s degree (or above) in Computer Science, Mathematics, AI/ML, Data Science, or a closely related discipline from a top-tier university. Demonstrable experience with applied AI/ML or LLM-based systems (projects, internships, or commercial work), not just academic exposure. Comfort working in a fast-moving, small-team environment where you take ownership from idea through to production release. Nice to have: Experience building agentic AI systems (tool-calling, multi-step planning, self-improvement loops) or autonomous agents. Knowledge of advanced agentic patterns and concepts like Model Context Protocol or similar orchestration standards. Exposure to financial, tax or accounting data and the nuances of working in regulated or data-sensitive environments. Why join? Direct impact: Ship agentic AI that immediately removes hours of manual work for tax and finance teams every day. Cutting-edge AI: Work at the forefront of agentic AI and enterprise-grade autonomous systems, delivering beyond proof-of-concepts. High-calibre team: Join experienced AI engineers shaping the future of finance automation with production-grade agentic technology. Growth opportunity: Be part of a scaling AI product business with room to shape technical direction and best practices. NO SPONSORSHIP AVAILABLE FOR THIS ROLE How to apply Send your CV to Chris at Apex Resources or call on (phone number removed)
Jan 30, 2026
Seasonal
Apex Resources limited are on the lookout for a Machine Learning Engineer (Agentic AI) in Glasgow for a hybrid role. A leading Glasgow-based AI firm is building next-generation agentic AI products that automate complex tax and finance workflows for UK accountancy firms and in-house finance teams. The platform leverages large language models and intelligent orchestration to remove repetitive work and free specialists to focus on higher-value advice. The role You will join a small, high-calibre engineering team as an AI Developer, working on the core agentic AI platform for tax and finance automation. Day-to-day, you will design, build and ship production-grade features across the AI orchestration, reasoning and integration layers. Typical work includes: Designing and implementing agentic AI workflows that coordinate LLMs, tools and reasoning engines to handle end-to-end finance and tax processes. Building robust back-end services and APIs to support document ingestion, data extraction, multi-step reasoning and autonomous execution. Working with modern LLM tooling (advanced prompting, retrieval-augmented generation, tool calling, evaluation frameworks) to optimise accuracy, latency and reliability for real client workloads. Collaborating with product managers, domain SMEs (tax and finance) and fellow AI engineers to deliver features from concept through to production. Contributing to code quality, observability and secure engineering practices in a regulated, data-sensitive environment. Our tech stack You do not need experience with everything below, but you should be strong in several and able to learn the rest quickly. Languages: Python (core), plus exposure to TypeScript/JavaScript helpful for front-end integrations. AI & data: LLMs (OpenAI/Anthropic-style APIs), vector databases/RAG, agent frameworks, basic MLOps for deploying and monitoring AI systems in production. Orchestration: Workflow engines, event-driven architectures, multi-agent coordination systems. Cloud & infra: Azure or AWS, containerised services (Docker/Kubernetes), CI/CD pipelines and modern DevOps practices. Platform integrations: Connecting agentic AI to third-party tax/finance systems and APIs within customers existing tech stacks. What we re looking for Essential: 2+ years post-graduate experience as a Software Engineer / AI Engineer / ML Engineer working on production AI systems. Strong software engineering fundamentals: clean code, testing, version control and debugging in Python or similar. A Master s degree (or above) in Computer Science, Mathematics, AI/ML, Data Science, or a closely related discipline from a top-tier university. Demonstrable experience with applied AI/ML or LLM-based systems (projects, internships, or commercial work), not just academic exposure. Comfort working in a fast-moving, small-team environment where you take ownership from idea through to production release. Nice to have: Experience building agentic AI systems (tool-calling, multi-step planning, self-improvement loops) or autonomous agents. Knowledge of advanced agentic patterns and concepts like Model Context Protocol or similar orchestration standards. Exposure to financial, tax or accounting data and the nuances of working in regulated or data-sensitive environments. Why join? Direct impact: Ship agentic AI that immediately removes hours of manual work for tax and finance teams every day. Cutting-edge AI: Work at the forefront of agentic AI and enterprise-grade autonomous systems, delivering beyond proof-of-concepts. High-calibre team: Join experienced AI engineers shaping the future of finance automation with production-grade agentic technology. Growth opportunity: Be part of a scaling AI product business with room to shape technical direction and best practices. NO SPONSORSHIP AVAILABLE FOR THIS ROLE How to apply Send your CV to Chris at Apex Resources or call on (phone number removed)
Data Engineer - Hybrid - London / 2 or 3 days work from home Circ £55,000 - £70,000 + Excellent Benefits Package A fantastic opportunity is available for a Data Engineer that enjoys working in a fast paced and collaborative team playing work environment. Our client is a prestigious and successful ecommerce / wholesale business trading all over the globe. They've been expanding at a remarkable pace and as a consequence have transformed their technical landscape with leading edge solutions. Having implemented a new MS Fabric based Data platform, the need is now to scale up and deliver data driven insights and strategies right across the business globally. The Data Engineer will be joining a close knit friendly team that is the hub of our clients global data & analytics operation. The role would suit a mid-level data engineer, or a junior engineer with 2 years experience looking to take the next step up. Previous experience with MS Fabric would be beneficial but is by no means essential. Interested candidates must have experience in a similar role with MS Azure Data Platforms, Synapse, Databricks or other Cloud platforms such as AWS, GCP, Snowfake etc. Key Responsibilities will include; Design, implement, and optimize end-to-end solutions using Fabric components: o Data Factory (pipelines, orchestration) o Data Engineering (Lakehouse, notebooks, Apache Spark) o Data Warehouse (SQL endpoints, schemas, MPP performance tuning) o Real-Time Analytics (KQL databases, event ingestion) o Manage and enhance OneLake architecture, delta lake tables, security policies, and data governance within Fabric. o Build scalable, reusable data assets and engineering patterns that support analytics, reporting, and machine learning workloads. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver effective solutions. Troubleshoot and resolve data-related issues in a timely manner. Key Experience, Skills and Knowledge: Proven 2 yrs+ experience as a Data Engineer or similar role, with a strong focus on PySpark, SQL, Microsoft Azure Data platforms and Power BI an advantage Proficiency in development languages suitable for intermediate-level data engineers, such as: Python / PySpark: Widely used for data manipulation, analysis, and scripting. SQL: Essential for querying and managing relational databases. Understanding of D365 F&O Data Structures is highly desirable Strong problem-solving skills and attention to detail. Excellent communication and collaboration abilities. This is a hybrid role based in Central / West London with the flexibility to work from home 2 or 3 days per week. Salary will be dependent on experience and likely to be in the region of £55,000 - £70,000 + an attractive benefits package including bonus scheme. For further information, please send your CV to Wayne Young at Young's Employment Services Ltd. YES are operating as both a recruitment Agency and Recruitment Business
Jan 30, 2026
Full time
Data Engineer - Hybrid - London / 2 or 3 days work from home Circ £55,000 - £70,000 + Excellent Benefits Package A fantastic opportunity is available for a Data Engineer that enjoys working in a fast paced and collaborative team playing work environment. Our client is a prestigious and successful ecommerce / wholesale business trading all over the globe. They've been expanding at a remarkable pace and as a consequence have transformed their technical landscape with leading edge solutions. Having implemented a new MS Fabric based Data platform, the need is now to scale up and deliver data driven insights and strategies right across the business globally. The Data Engineer will be joining a close knit friendly team that is the hub of our clients global data & analytics operation. The role would suit a mid-level data engineer, or a junior engineer with 2 years experience looking to take the next step up. Previous experience with MS Fabric would be beneficial but is by no means essential. Interested candidates must have experience in a similar role with MS Azure Data Platforms, Synapse, Databricks or other Cloud platforms such as AWS, GCP, Snowfake etc. Key Responsibilities will include; Design, implement, and optimize end-to-end solutions using Fabric components: o Data Factory (pipelines, orchestration) o Data Engineering (Lakehouse, notebooks, Apache Spark) o Data Warehouse (SQL endpoints, schemas, MPP performance tuning) o Real-Time Analytics (KQL databases, event ingestion) o Manage and enhance OneLake architecture, delta lake tables, security policies, and data governance within Fabric. o Build scalable, reusable data assets and engineering patterns that support analytics, reporting, and machine learning workloads. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver effective solutions. Troubleshoot and resolve data-related issues in a timely manner. Key Experience, Skills and Knowledge: Proven 2 yrs+ experience as a Data Engineer or similar role, with a strong focus on PySpark, SQL, Microsoft Azure Data platforms and Power BI an advantage Proficiency in development languages suitable for intermediate-level data engineers, such as: Python / PySpark: Widely used for data manipulation, analysis, and scripting. SQL: Essential for querying and managing relational databases. Understanding of D365 F&O Data Structures is highly desirable Strong problem-solving skills and attention to detail. Excellent communication and collaboration abilities. This is a hybrid role based in Central / West London with the flexibility to work from home 2 or 3 days per week. Salary will be dependent on experience and likely to be in the region of £55,000 - £70,000 + an attractive benefits package including bonus scheme. For further information, please send your CV to Wayne Young at Young's Employment Services Ltd. YES are operating as both a recruitment Agency and Recruitment Business
TransUnion's Job Applicant Privacy Notice What We'll Bring: We Are TransUnion: TransUnion is a major credit reference agency, and we offer specialist services in fraud, identity and risk management, automated decisioning and demographics. We support organisations across a variety of sectors including finance, retail, telecommunications, utilities, gaming, government and insurance. What You'll Bring: We're looking for a Software Developer to join our growing Integrations and Decisioning team. Day to Day You'll Be: Design and build reliable backend systems and infrastructure tooling Use TDD to write high-quality, maintainable code and build out automated test suites Own reliability, observability, and performance of key services Collaborate with clients to understand requirements, debug issues, and propose solutions Drive improvements to system architecture, automation, and deployment processes Mentor junior developers and contribute to a strong engineering culture Take ownership of problems-investigate, iterate, and fix Essential Skills & Experience: Strong programming skills in Node.js or similar backend language Understanding of TDD and a focus on automated testing Comfort working directly with clients to gather requirements and debug issues Strong problem-solving skills and a desire to understand the root cause of complex issues Clear communicator-both in writing and on calls Desirable Skills & Experience: Experience owning backend systems in production environments Experience with Cloud Platforms AWS or GCP Infrastructure-as-code, CI/CD, and observability tooling Experience scaling systems under sustained load Contributions to internal tooling or open source Experience with large datasets and machine learning models Impact You'll Make: What's In It For you? At TransUnion you will be joining a friendly, forward thinking global business. As well as an excellent salary and bonus scheme or commission scheme (if joining our sales teams) our benefits package comes with: 26 days' annual leave + bank holidays (increasing with service) Global paid wellness days off + a bonus day off to celebrate your birthday A generous contributory pension scheme + access to the TransUnion Employee Stock Purchase Plan Private health care + a variety of physical, mental and financial fitness wellbeing programmes such as access to mindfulness tools Access to our diversity forums and communities so you can get involved in causes close to your heart TransUnion - a place to grow: If there's something on the list of essential / desirable skills that you can't quite tick off, don't let that put you off applying. We are open to exploring training and development opportunities for the right candidate to ensure you are successful. We know imposter syndrome is real, lets confront it so we can continue to grow and thrive together. Flexibility at TU: We recognise that our people need the freedom to balance their day-to-day lives with their work. This is why we've set out to create inclusive and flexible policies and practices for you to accommodate all your responsibilities and needs: children, family and beyond. If the role is advertised as full time, don't let this stop you from applying. Let us know if you're looking for a part time or flexible working arrangement and we can discuss this with you. Additional support: At TransUnion, we're committed to fostering an inclusive and diverse workplace where all individual's talents and perspectives are valued. When you apply for a position with us, you're not just joining a team, you're becoming part of a community that celebrates differences and embraces equality. We understand that everyone has different needs, which is why we offer a range of reasonable adjustments to our recruitment process. Please let us know if you require any reasonable adjustments to help you through the application process or to attend an interview with us by contacting (url removed) Interview & Hiring Process: Most of our recruitment processes are virtual, so you'll get to know our hiring managers and teams over the phone and through video. If we need you to attend a physical in person interview your recruiter will inform you of this. We do not accept any unsolicited CV's from recruitment agencies. If you are a recruitment agency on our PSL our talent team will contact you directly should we require any assistance. Find out more about Life At TU UK: (url removed) Job Title Sr Engineer, Software Development
Jan 30, 2026
Full time
TransUnion's Job Applicant Privacy Notice What We'll Bring: We Are TransUnion: TransUnion is a major credit reference agency, and we offer specialist services in fraud, identity and risk management, automated decisioning and demographics. We support organisations across a variety of sectors including finance, retail, telecommunications, utilities, gaming, government and insurance. What You'll Bring: We're looking for a Software Developer to join our growing Integrations and Decisioning team. Day to Day You'll Be: Design and build reliable backend systems and infrastructure tooling Use TDD to write high-quality, maintainable code and build out automated test suites Own reliability, observability, and performance of key services Collaborate with clients to understand requirements, debug issues, and propose solutions Drive improvements to system architecture, automation, and deployment processes Mentor junior developers and contribute to a strong engineering culture Take ownership of problems-investigate, iterate, and fix Essential Skills & Experience: Strong programming skills in Node.js or similar backend language Understanding of TDD and a focus on automated testing Comfort working directly with clients to gather requirements and debug issues Strong problem-solving skills and a desire to understand the root cause of complex issues Clear communicator-both in writing and on calls Desirable Skills & Experience: Experience owning backend systems in production environments Experience with Cloud Platforms AWS or GCP Infrastructure-as-code, CI/CD, and observability tooling Experience scaling systems under sustained load Contributions to internal tooling or open source Experience with large datasets and machine learning models Impact You'll Make: What's In It For you? At TransUnion you will be joining a friendly, forward thinking global business. As well as an excellent salary and bonus scheme or commission scheme (if joining our sales teams) our benefits package comes with: 26 days' annual leave + bank holidays (increasing with service) Global paid wellness days off + a bonus day off to celebrate your birthday A generous contributory pension scheme + access to the TransUnion Employee Stock Purchase Plan Private health care + a variety of physical, mental and financial fitness wellbeing programmes such as access to mindfulness tools Access to our diversity forums and communities so you can get involved in causes close to your heart TransUnion - a place to grow: If there's something on the list of essential / desirable skills that you can't quite tick off, don't let that put you off applying. We are open to exploring training and development opportunities for the right candidate to ensure you are successful. We know imposter syndrome is real, lets confront it so we can continue to grow and thrive together. Flexibility at TU: We recognise that our people need the freedom to balance their day-to-day lives with their work. This is why we've set out to create inclusive and flexible policies and practices for you to accommodate all your responsibilities and needs: children, family and beyond. If the role is advertised as full time, don't let this stop you from applying. Let us know if you're looking for a part time or flexible working arrangement and we can discuss this with you. Additional support: At TransUnion, we're committed to fostering an inclusive and diverse workplace where all individual's talents and perspectives are valued. When you apply for a position with us, you're not just joining a team, you're becoming part of a community that celebrates differences and embraces equality. We understand that everyone has different needs, which is why we offer a range of reasonable adjustments to our recruitment process. Please let us know if you require any reasonable adjustments to help you through the application process or to attend an interview with us by contacting (url removed) Interview & Hiring Process: Most of our recruitment processes are virtual, so you'll get to know our hiring managers and teams over the phone and through video. If we need you to attend a physical in person interview your recruiter will inform you of this. We do not accept any unsolicited CV's from recruitment agencies. If you are a recruitment agency on our PSL our talent team will contact you directly should we require any assistance. Find out more about Life At TU UK: (url removed) Job Title Sr Engineer, Software Development
