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Senior Business Analyst (M365) - Government Property Agency - G7
Government Digital & Data
Oct 01, 2026
Full time
Location Birmingham, Bristol, Manchester, Nottingham, Swindon About the job Job summary The Government Property Agency is changing the way the Civil Service works and is at the forefront of the Government's transformation agenda; reshaping the relationship civil servants have with their place of work. The Agency is central to the delivery of key Government policies and tackling climate change by contributing to the Net Zero agenda. To do this we are delivering a major change programme across the UK and consolidating our portfolio in order to save £1.4 Bn over 10 years. Beyond the bricks and mortar, the GPA is about providing great workplaces for our people. Through programmes like Hubs, Whitehall Campus and Smarter Working you will be in the vanguard of creating model working environments and promoting flexible working practices. This is an ambitious and exciting task, for which we need innovative people, with strong commercial acumen, who are passionate about visualising and implementing customer needs. Launched as an Executive Agency of the Cabinet Office in 2018, we're a relatively new department and we are growing fast so we also need people who thrive in ambiguity, can adapt quickly to change and are comfortable stepping outside of their remit to drive outcomes. Job description Are you ready to play a pivotal role in shaping the future of how we collaborate with our suppliers, partners, clients and customers? We are looking for an experienced and forward thinking Senior Business Analyst to lead the implementation of Microsoft 365 and the migration from Google Workspace across our organisation. This role will spearhead the implementation of cutting edge Generative AI and Agentic AI capabilities using Microsoft Copilot and Microsoft Copilot Studio to empower business users with intelligent automation and integrate with other enterprise platforms such as Salesforce, ServiceNow and Dynamics 365. This role will help with implementation of Microsoft Power Platform to design low-code/no-code solutions that streamline workflows and lead on the deployment of Microsoft Purview for data governance, Microsoft Defender for cloud app and endpoint security and Microsoft Sentinel to build a world-class SIEM/SOC. This role will be responsible for gathering business requirements, analysing business processes and collaborating with cross-functional teams to ensure a smooth migration and successful deployment of all Microsoft 365 digital services. This role will involve strategic planning, and ensuring the alignment of the migration with business goals. If you are passionate about digital transformation, optimising business processes, and delivering innovative solutions using AI that drive tangible business outcomes, we want to hear from you! While This Role Matters : This is not just another migration project. This is your opportunity to: Lead a Mission-Critical Transformation - Play a key role in how our organisation adopts the tools that will define how we collaborate, innovate and operate for years to come. Drive Real Change - Work closely with key decision-makers to shape processes that will have a direct impact on business productivity, employee satisfaction, and our competitive edge in creating a truly digital employee experience. Empower the Workforce - Help us empower our teams by ensuring that they have access to the best tools and knowledge to succeed in the new digital workplace. If you are ready to lead a key digital transformation project and be a part of something big, we'd love to hear from you! This is your chance to lead change , innovate , and make a lasting impact on how our teams collaborate and succeed. Apply now and be the driver behind the transformation Key Responsibilities Business Analysis Requirements and Specifications (Functional & Technical) Elicit business, stakeholder and solution (functional/non-functional) requirements and prepare business requirements documents. Translate business needs into functional specifications for developers and solution architects, ensuring the technical implementation is aligned with business goals System and Data Migration Strategy Design and drive the overall strategy data and systems for migrating from Google Workspace to Microsoft 365. Develop a comprehensive data inventory for migrating data (emails, documents and applications) from Google Workspace to Microsoft 365 ensuring minimal disruption to business operations Change Impact Analysis Perform detailed assessments of the potential impact of the Microsoft 365 implementation on business processes, systems, data and roles. Leverage your analytical skills to perform gap analyses and provide data-driven recommendations that enhance productivity and support business objectives. Create a list of existing Identity Management / SSO integration with existing systems that will need to re-integrate with Microsoft 365 Entra ID (Active Directory). Information Governance - Compliance and Data Governance Ensure that the migration aligns with all applicable legal, regulatory and compliance standards. Work closely with security and legal teams to ensure information is governed effectively, including GDPR and data retention policies Stakeholder Engagement and Communication Identify key stakeholders across the organisation, create engagement plans, and communicate business impacts, project goals and progress effectively. Ensure alignment with business needs and foster a positive attitude towards change User Adoption and Training Collaborate with training teams to develop learning programs, tutorials, and workshops that will help users maximise their use of Microsoft 365 tools like SharePoint, OneDrive and Teams. Elevate user experience by ensuring that Microsoft 365 delivers an intuitive and seamless user experience by working with technical teams to design solutions that meet user requirements and enhance productivity. Person specification We encourage applications from people from all backgrounds and aim to have a workforce that represents the communities and wider society that we serve. We pride ourselves on being an employer of choice. We champion diversity, inclusion and well-being and aim to create a sense of belonging in a workplace where everyone feels valued.The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan and the Civil Service D&I Strategy. Essential criteria: Extensive hands-on experience in business analysis, particularly in Microsoft 365 implementations, and migrations from Google Workspace. Proven track record in leading enterprise-wide digital transformation projects and managing large-scale IT projects Ability to see the big picture and create a transformation roadmap that aligns with long-term business goals Deep knowledge of Microsoft 365 (Exchange, SharePoint, OneDrive and Teams) and familiarity with Google Workspace (Gmail, Google Drive, Docs) Master at building relationships, negotiating priorities, and keeping everyone aligned towards the common goal Comfortable working in agile environments and driving iterative improvements. Strong interpersonal and communication skills with the ability to influence at all levels. Bachelor's degree in Business, Information Technology, or related field. Certified Business Analysis Professional (CBAP) or equivalent Desirable criteria: Master's degree preferred Microsoft 365 Certified PMP or PRINCE2 Certification Familiarity with SFIA Framework is a plus
Data Science and AI Graduate Scheme
Lloyds Banking Group Edinburgh, Midlothian
Oct 01, 2026
Full time
Code. Analyse. Transform. For those with a passion for data that can solve big challenges and reimagine finance, this is the opportunity for you. Duration - 2 years Salary - £48,500 plus fantastic benefits Locations - Bristol, Edinburgh, Leeds, Halifax, London and Manchester. You may need to have regional flexibility whilst on programme. Mix office and home working with our hybrid working policy. Qualifications - Choose from various qualifications to boost your career, including certifications through Stanford University Online. Work to a personal learning plan that matches your interests and goals. Your AI era starts now At Lloyds Banking Group, data isn't just something we store in the cloud. It's the juice that keeps ideas flowing, decisions sharper, and progress unstoppable. Our Chief Data & Analytics Office has one mission: weave data, analytics and AI into every decision we make. The goal? Simple. Every choice, everywhere, driven by data. As a Data Science & AI Graduate, you won't be on the sidelines watching the algorithms run the show. You'll be training models, crafting algorithms, deploying scalable solutions, and showing exactly what AI can do in the real world. Whether you're optimising performance, unlocking insight or making predictions, everything you do will be rooted in data literacy, ethics and genuine business impact. Two years. Two game-changing rotations This two-year programme blends office and home working. Across two year-long placements, you'll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, you'll be working with some of the biggest datasets in the UK - using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Cloud-native AI engineering and large-scale data platforms , leveraging Google Cloud technologies and modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence , applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. Machine Learning, predictive modelling and applied AI , developing, evaluating and operationalising models using state-of-the-art libraries and frameworks such as scikit-learn, TensorFlow, PyTorch and XGBoost, helping tackle complex challenges including in areas like fraud prevention, credit risk management and customer personalisation. Generative AI, Large Language Models and autonomous agent systems , building next-generation AI applications using foundation models, retrieval-augmented generation (RAG) architectures and agent frameworks such as Google ADK and LangChain, helping transform how the Bank serves customers and empowers colleagues. Data engineering, MLOps and intelligent automation , creating resilient data pipelines, scalable deployment architectures and automated machine learning workflows using contemporary engineering and CI/CD practices, enabling AI solutions to operate reliably across the enterprise. AI assurance, evaluation science and model governance , designing rigorous testing, monitoring and validation frameworks for machine learning models and agentic systems, ensuring AI solutions remain robust, trustworthy and aligned to the Bank's strategic objectives. Responsible AI, explainability and algorithmic governance , applying principles of fairness, transparency, interpretability and risk management throughout the AI lifecycle, helping maintain customer trust while delivering innovative AI capabilities. Your skills toolkit You'll master: Python & SQL Cloud platforms like GCP Data Analysis Machine learning techniques, both theory and application Generative and Agentic AI AI Solution design and evaluation techniques CI/CD and DevOps all delivered through a commercial lens Your multi-week AI power-up We start with a blended learning bootcamp. Your fast track from fundamental concepts to advanced technologies and AI skills (and your chance to learn a few tricks even the bots don't know yet). You'll cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration Generative and Agentic AI MLOps & cloud computing It's all live lectures, tutor-led group work and real-world challenges from day one. Learn it. Apply it. Keep going Your personal learning plan could include: Up to three Stanford Artificial Intelligence Professional Programmes Google Cloud certifications Coursera courses on everything from advanced ML to AI ethics and explainability And because your career is more than your day job, you'll get stuck into side-of-the-desk projects to build your network, test fresh ideas and put your creativity to work. The team in your corner A dedicated mentor A close-knit community of data professional who speak fluent Python and coffee, naturally Your future. Fully funded You'll earn a good salary while mastering the skills shaping the future of tech and finance. Training? Bootcamp? Certifications? All on us. By the end, you'll have the technical confidence, strategic mindset and industry know-how to take your career wherever you want - from deep technical roles to AI strategy leadership or even inventing the next big thing that no-one has thought of yet. Requirements What you need to apply While we do not require a set minimum degree achievement, we strongly recommend the ability to be able to demonstrate sound knowledge, understanding and technical skills aligned to the role. Some aspects of this will be assessed through the application process. We encourage all students to apply, from newly graduated through to MSc/PhD. Note: we cannot sponsor visas. Knowledge of analytical techniques and experience in manipulating and deriving insight from data. Python coding experience, knowledge of SQL and the ability to use statistical modelling techniques as this will form a part of the assessments. Locations Bristol, Edinburgh, Halifax, Leeds, London, Manchester. You will be expected to work in your allocated office a minimum of two days a week as part of our hybrid working policy. Opening and Closing Date Applications for our Data Science & AI Graduate Scheme opens on 10 th September and close on the 29 th November, except for the London location which closes on 11th October. Apply soon as our programmes may close early if we receive a high number of applications. How to Apply Our application process is designed to help you shine. We want everyone to feel they belong and can be their best, regardless of background, identity, or culture. Find details, including stages and tips for success, on our How to Apply page.
Data Science and AI Graduate Scheme
Lloyds Banking Group Manchester, Lancashire
Oct 01, 2026
Full time
Code. Analyse. Transform. For those with a passion for data that can solve big challenges and reimagine finance, this is the opportunity for you. Duration - 2 years Salary - £48,500 plus fantastic benefits Locations - Bristol, Edinburgh, Leeds, Halifax, London and Manchester. You may need to have regional flexibility whilst on programme. Mix office and home working with our hybrid working policy. Qualifications - Choose from various qualifications to boost your career, including certifications through Stanford University Online. Work to a personal learning plan that matches your interests and goals. Your AI era starts now At Lloyds Banking Group, data isn't just something we store in the cloud. It's the juice that keeps ideas flowing, decisions sharper, and progress unstoppable. Our Chief Data & Analytics Office has one mission: weave data, analytics and AI into every decision we make. The goal? Simple. Every choice, everywhere, driven by data. As a Data Science & AI Graduate, you won't be on the sidelines watching the algorithms run the show. You'll be training models, crafting algorithms, deploying scalable solutions, and showing exactly what AI can do in the real world. Whether you're optimising performance, unlocking insight or making predictions, everything you do will be rooted in data literacy, ethics and genuine business impact. Two years. Two game-changing rotations This two-year programme blends office and home working. Across two year-long placements, you'll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, you'll be working with some of the biggest datasets in the UK - using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Cloud-native AI engineering and large-scale data platforms , leveraging Google Cloud technologies and modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence , applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. Machine Learning, predictive modelling and applied AI , developing, evaluating and operationalising models using state-of-the-art libraries and frameworks such as scikit-learn, TensorFlow, PyTorch and XGBoost, helping tackle complex challenges including in areas like fraud prevention, credit risk management and customer personalisation. Generative AI, Large Language Models and autonomous agent systems , building next-generation AI applications using foundation models, retrieval-augmented generation (RAG) architectures and agent frameworks such as Google ADK and LangChain, helping transform how the Bank serves customers and empowers colleagues. Data engineering, MLOps and intelligent automation , creating resilient data pipelines, scalable deployment architectures and automated machine learning workflows using contemporary engineering and CI/CD practices, enabling AI solutions to operate reliably across the enterprise. AI assurance, evaluation science and model governance , designing rigorous testing, monitoring and validation frameworks for machine learning models and agentic systems, ensuring AI solutions remain robust, trustworthy and aligned to the Bank's strategic objectives. Responsible AI, explainability and algorithmic governance , applying principles of fairness, transparency, interpretability and risk management throughout the AI lifecycle, helping maintain customer trust while delivering innovative AI capabilities. Your skills toolkit You'll master: Python & SQL Cloud platforms like GCP Data Analysis Machine learning techniques, both theory and application Generative and Agentic AI AI Solution design and evaluation techniques CI/CD and DevOps all delivered through a commercial lens Your multi-week AI power-up We start with a blended learning bootcamp. Your fast track from fundamental concepts to advanced technologies and AI skills (and your chance to learn a few tricks even the bots don't know yet). You'll cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration Generative and Agentic AI MLOps & cloud computing It's all live lectures, tutor-led group work and real-world challenges from day one. Learn it. Apply it. Keep going Your personal learning plan could include: Up to three Stanford Artificial Intelligence Professional Programmes Google Cloud certifications Coursera courses on everything from advanced ML to AI ethics and explainability And because your career is more than your day job, you'll get stuck into side-of-the-desk projects to build your network, test fresh ideas and put your creativity to work. The team in your corner A dedicated mentor A close-knit community of data professional who speak fluent Python and coffee, naturally Your future. Fully funded You'll earn a good salary while mastering the skills shaping the future of tech and finance. Training? Bootcamp? Certifications? All on us. By the end, you'll have the technical confidence, strategic mindset and industry know-how to take your career wherever you want - from deep technical roles to AI strategy leadership or even inventing the next big thing that no-one has thought of yet. Requirements What you need to apply While we do not require a set minimum degree achievement, we strongly recommend the ability to be able to demonstrate sound knowledge, understanding and technical skills aligned to the role. Some aspects of this will be assessed through the application process. We encourage all students to apply, from newly graduated through to MSc/PhD. Note: we cannot sponsor visas. Knowledge of analytical techniques and experience in manipulating and deriving insight from data. Python coding experience, knowledge of SQL and the ability to use statistical modelling techniques as this will form a part of the assessments. Locations Bristol, Edinburgh, Halifax, Leeds, London, Manchester. You will be expected to work in your allocated office a minimum of two days a week as part of our hybrid working policy. Opening and Closing Date Applications for our Data Science & AI Graduate Scheme opens on 10 th September and close on the 29 th November, except for the London location which closes on 11th October. Apply soon as our programmes may close early if we receive a high number of applications. How to Apply Our application process is designed to help you shine. We want everyone to feel they belong and can be their best, regardless of background, identity, or culture. Find details, including stages and tips for success, on our How to Apply page.
Data Science and AI Graduate Scheme
Lloyds Banking Group Bristol, Gloucestershire
Oct 01, 2026
Full time
Code. Analyse. Transform. For those with a passion for data that can solve big challenges and reimagine finance, this is the opportunity for you. Duration - 2 years Salary - £48,500 plus fantastic benefits Locations - Bristol, Edinburgh, Leeds, Halifax, London and Manchester. You may need to have regional flexibility whilst on programme. Mix office and home working with our hybrid working policy. Qualifications - Choose from various qualifications to boost your career, including certifications through Stanford University Online. Work to a personal learning plan that matches your interests and goals. Your AI era starts now At Lloyds Banking Group, data isn't just something we store in the cloud. It's the juice that keeps ideas flowing, decisions sharper, and progress unstoppable. Our Chief Data & Analytics Office has one mission: weave data, analytics and AI into every decision we make. The goal? Simple. Every choice, everywhere, driven by data. As a Data Science & AI Graduate, you won't be on the sidelines watching the algorithms run the show. You'll be training models, crafting algorithms, deploying scalable solutions, and showing exactly what AI can do in the real world. Whether you're optimising performance, unlocking insight or making predictions, everything you do will be rooted in data literacy, ethics and genuine business impact. Two years. Two game-changing rotations This two-year programme blends office and home working. Across two year-long placements, you'll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, you'll be working with some of the biggest datasets in the UK - using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Cloud-native AI engineering and large-scale data platforms , leveraging Google Cloud technologies and modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence , applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. Machine Learning, predictive modelling and applied AI , developing, evaluating and operationalising models using state-of-the-art libraries and frameworks such as scikit-learn, TensorFlow, PyTorch and XGBoost, helping tackle complex challenges including in areas like fraud prevention, credit risk management and customer personalisation. Generative AI, Large Language Models and autonomous agent systems , building next-generation AI applications using foundation models, retrieval-augmented generation (RAG) architectures and agent frameworks such as Google ADK and LangChain, helping transform how the Bank serves customers and empowers colleagues. Data engineering, MLOps and intelligent automation , creating resilient data pipelines, scalable deployment architectures and automated machine learning workflows using contemporary engineering and CI/CD practices, enabling AI solutions to operate reliably across the enterprise. AI assurance, evaluation science and model governance , designing rigorous testing, monitoring and validation frameworks for machine learning models and agentic systems, ensuring AI solutions remain robust, trustworthy and aligned to the Bank's strategic objectives. Responsible AI, explainability and algorithmic governance , applying principles of fairness, transparency, interpretability and risk management throughout the AI lifecycle, helping maintain customer trust while delivering innovative AI capabilities. Your skills toolkit You'll master: Python & SQL Cloud platforms like GCP Data Analysis Machine learning techniques, both theory and application Generative and Agentic AI AI Solution design and evaluation techniques CI/CD and DevOps all delivered through a commercial lens Your multi-week AI power-up We start with a blended learning bootcamp. Your fast track from fundamental concepts to advanced technologies and AI skills (and your chance to learn a few tricks even the bots don't know yet). You'll cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration Generative and Agentic AI MLOps & cloud computing It's all live lectures, tutor-led group work and real-world challenges from day one. Learn it. Apply it. Keep going Your personal learning plan could include: Up to three Stanford Artificial Intelligence Professional Programmes Google Cloud certifications Coursera courses on everything from advanced ML to AI ethics and explainability And because your career is more than your day job, you'll get stuck into side-of-the-desk projects to build your network, test fresh ideas and put your creativity to work. The team in your corner A dedicated mentor A close-knit community of data professional who speak fluent Python and coffee, naturally Your future. Fully funded You'll earn a good salary while mastering the skills shaping the future of tech and finance. Training? Bootcamp? Certifications? All on us. By the end, you'll have the technical confidence, strategic mindset and industry know-how to take your career wherever you want - from deep technical roles to AI strategy leadership or even inventing the next big thing that no-one has thought of yet. Requirements What you need to apply While we do not require a set minimum degree achievement, we strongly recommend the ability to be able to demonstrate sound knowledge, understanding and technical skills aligned to the role. Some aspects of this will be assessed through the application process. We encourage all students to apply, from newly graduated through to MSc/PhD. Note: we cannot sponsor visas. Knowledge of analytical techniques and experience in manipulating and deriving insight from data. Python coding experience, knowledge of SQL and the ability to use statistical modelling techniques as this will form a part of the assessments. Locations Bristol, Edinburgh, Halifax, Leeds, London, Manchester. You will be expected to work in your allocated office a minimum of two days a week as part of our hybrid working policy. Opening and Closing Date Applications for our Data Science & AI Graduate Scheme opens on 10 th September and close on the 29 th November, except for the London location which closes on 11th October. Apply soon as our programmes may close early if we receive a high number of applications. How to Apply Our application process is designed to help you shine. We want everyone to feel they belong and can be their best, regardless of background, identity, or culture. Find details, including stages and tips for success, on our How to Apply page.
Data Science and AI Graduate Scheme
Lloyds Banking Group
Oct 01, 2026
Full time
Code. Analyse. Transform. For those with a passion for data that can solve big challenges and reimagine finance, this is the opportunity for you. Duration - 2 years Salary - £48,500 plus fantastic benefits Locations - Bristol, Edinburgh, Leeds, Halifax, London and Manchester. You may need to have regional flexibility whilst on programme. Mix office and home working with our hybrid working policy. Qualifications - Choose from various qualifications to boost your career, including certifications through Stanford University Online. Work to a personal learning plan that matches your interests and goals. Your AI era starts now At Lloyds Banking Group, data isn't just something we store in the cloud. It's the juice that keeps ideas flowing, decisions sharper, and progress unstoppable. Our Chief Data & Analytics Office has one mission: weave data, analytics and AI into every decision we make. The goal? Simple. Every choice, everywhere, driven by data. As a Data Science & AI Graduate, you won't be on the sidelines watching the algorithms run the show. You'll be training models, crafting algorithms, deploying scalable solutions, and showing exactly what AI can do in the real world. Whether you're optimising performance, unlocking insight or making predictions, everything you do will be rooted in data literacy, ethics and genuine business impact. Two years. Two game-changing rotations This two-year programme blends office and home working. Across two year-long placements, you'll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, you'll be working with some of the biggest datasets in the UK - using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Cloud-native AI engineering and large-scale data platforms , leveraging Google Cloud technologies and modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence , applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. Machine Learning, predictive modelling and applied AI , developing, evaluating and operationalising models using state-of-the-art libraries and frameworks such as scikit-learn, TensorFlow, PyTorch and XGBoost, helping tackle complex challenges including in areas like fraud prevention, credit risk management and customer personalisation. Generative AI, Large Language Models and autonomous agent systems , building next-generation AI applications using foundation models, retrieval-augmented generation (RAG) architectures and agent frameworks such as Google ADK and LangChain, helping transform how the Bank serves customers and empowers colleagues. Data engineering, MLOps and intelligent automation , creating resilient data pipelines, scalable deployment architectures and automated machine learning workflows using contemporary engineering and CI/CD practices, enabling AI solutions to operate reliably across the enterprise. AI assurance, evaluation science and model governance , designing rigorous testing, monitoring and validation frameworks for machine learning models and agentic systems, ensuring AI solutions remain robust, trustworthy and aligned to the Bank's strategic objectives. Responsible AI, explainability and algorithmic governance , applying principles of fairness, transparency, interpretability and risk management throughout the AI lifecycle, helping maintain customer trust while delivering innovative AI capabilities. Your skills toolkit You'll master: Python & SQL Cloud platforms like GCP Data Analysis Machine learning techniques, both theory and application Generative and Agentic AI AI Solution design and evaluation techniques CI/CD and DevOps all delivered through a commercial lens Your multi-week AI power-up We start with a blended learning bootcamp. Your fast track from fundamental concepts to advanced technologies and AI skills (and your chance to learn a few tricks even the bots don't know yet). You'll cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration Generative and Agentic AI MLOps & cloud computing It's all live lectures, tutor-led group work and real-world challenges from day one. Learn it. Apply it. Keep going Your personal learning plan could include: Up to three Stanford Artificial Intelligence Professional Programmes Google Cloud certifications Coursera courses on everything from advanced ML to AI ethics and explainability And because your career is more than your day job, you'll get stuck into side-of-the-desk projects to build your network, test fresh ideas and put your creativity to work. The team in your corner A dedicated mentor A close-knit community of data professional who speak fluent Python and coffee, naturally Your future. Fully funded You'll earn a good salary while mastering the skills shaping the future of tech and finance. Training? Bootcamp? Certifications? All on us. By the end, you'll have the technical confidence, strategic mindset and industry know-how to take your career wherever you want - from deep technical roles to AI strategy leadership or even inventing the next big thing that no-one has thought of yet. Requirements What you need to apply While we do not require a set minimum degree achievement, we strongly recommend the ability to be able to demonstrate sound knowledge, understanding and technical skills aligned to the role. Some aspects of this will be assessed through the application process. We encourage all students to apply, from newly graduated through to MSc/PhD. Note: we cannot sponsor visas. Knowledge of analytical techniques and experience in manipulating and deriving insight from data. Python coding experience, knowledge of SQL and the ability to use statistical modelling techniques as this will form a part of the assessments. Locations Bristol, Edinburgh, Halifax, Leeds, London, Manchester. You will be expected to work in your allocated office a minimum of two days a week as part of our hybrid working policy. Opening and Closing Date Applications for our Data Science & AI Graduate Scheme opens on 10 th September and close on the 29 th November, except for the London location which closes on 11th October. Apply soon as our programmes may close early if we receive a high number of applications. How to Apply Our application process is designed to help you shine. We want everyone to feel they belong and can be their best, regardless of background, identity, or culture. Find details, including stages and tips for success, on our How to Apply page.
Data Science and AI Graduate Scheme
Lloyds Banking Group Leeds, Yorkshire
Oct 01, 2026
Full time
Code. Analyse. Transform. For those with a passion for data that can solve big challenges and reimagine finance, this is the opportunity for you. Duration - 2 years Salary - £48,500 plus fantastic benefits Locations - Bristol, Edinburgh, Leeds, Halifax, London and Manchester. You may need to have regional flexibility whilst on programme. Mix office and home working with our hybrid working policy. Qualifications - Choose from various qualifications to boost your career, including certifications through Stanford University Online. Work to a personal learning plan that matches your interests and goals. Your AI era starts now At Lloyds Banking Group, data isn't just something we store in the cloud. It's the juice that keeps ideas flowing, decisions sharper, and progress unstoppable. Our Chief Data & Analytics Office has one mission: weave data, analytics and AI into every decision we make. The goal? Simple. Every choice, everywhere, driven by data. As a Data Science & AI Graduate, you won't be on the sidelines watching the algorithms run the show. You'll be training models, crafting algorithms, deploying scalable solutions, and showing exactly what AI can do in the real world. Whether you're optimising performance, unlocking insight or making predictions, everything you do will be rooted in data literacy, ethics and genuine business impact. Two years. Two game-changing rotations This two-year programme blends office and home working. Across two year-long placements, you'll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, you'll be working with some of the biggest datasets in the UK - using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Cloud-native AI engineering and large-scale data platforms , leveraging Google Cloud technologies and modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence , applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. Machine Learning, predictive modelling and applied AI , developing, evaluating and operationalising models using state-of-the-art libraries and frameworks such as scikit-learn, TensorFlow, PyTorch and XGBoost, helping tackle complex challenges including in areas like fraud prevention, credit risk management and customer personalisation. Generative AI, Large Language Models and autonomous agent systems , building next-generation AI applications using foundation models, retrieval-augmented generation (RAG) architectures and agent frameworks such as Google ADK and LangChain, helping transform how the Bank serves customers and empowers colleagues. Data engineering, MLOps and intelligent automation , creating resilient data pipelines, scalable deployment architectures and automated machine learning workflows using contemporary engineering and CI/CD practices, enabling AI solutions to operate reliably across the enterprise. AI assurance, evaluation science and model governance , designing rigorous testing, monitoring and validation frameworks for machine learning models and agentic systems, ensuring AI solutions remain robust, trustworthy and aligned to the Bank's strategic objectives. Responsible AI, explainability and algorithmic governance , applying principles of fairness, transparency, interpretability and risk management throughout the AI lifecycle, helping maintain customer trust while delivering innovative AI capabilities. Your skills toolkit You'll master: Python & SQL Cloud platforms like GCP Data Analysis Machine learning techniques, both theory and application Generative and Agentic AI AI Solution design and evaluation techniques CI/CD and DevOps all delivered through a commercial lens Your multi-week AI power-up We start with a blended learning bootcamp. Your fast track from fundamental concepts to advanced technologies and AI skills (and your chance to learn a few tricks even the bots don't know yet). You'll cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration Generative and Agentic AI MLOps & cloud computing It's all live lectures, tutor-led group work and real-world challenges from day one. Learn it. Apply it. Keep going Your personal learning plan could include: Up to three Stanford Artificial Intelligence Professional Programmes Google Cloud certifications Coursera courses on everything from advanced ML to AI ethics and explainability And because your career is more than your day job, you'll get stuck into side-of-the-desk projects to build your network, test fresh ideas and put your creativity to work. The team in your corner A dedicated mentor A close-knit community of data professional who speak fluent Python and coffee, naturally Your future. Fully funded You'll earn a good salary while mastering the skills shaping the future of tech and finance. Training? Bootcamp? Certifications? All on us. By the end, you'll have the technical confidence, strategic mindset and industry know-how to take your career wherever you want - from deep technical roles to AI strategy leadership or even inventing the next big thing that no-one has thought of yet. Requirements What you need to apply While we do not require a set minimum degree achievement, we strongly recommend the ability to be able to demonstrate sound knowledge, understanding and technical skills aligned to the role. Some aspects of this will be assessed through the application process. We encourage all students to apply, from newly graduated through to MSc/PhD. Note: we cannot sponsor visas. Knowledge of analytical techniques and experience in manipulating and deriving insight from data. Python coding experience, knowledge of SQL and the ability to use statistical modelling techniques as this will form a part of the assessments. Locations Bristol, Edinburgh, Halifax, Leeds, London, Manchester. You will be expected to work in your allocated office a minimum of two days a week as part of our hybrid working policy. Opening and Closing Date Applications for our Data Science & AI Graduate Scheme opens on 10 th September and close on the 29 th November, except for the London location which closes on 11th October. Apply soon as our programmes may close early if we receive a high number of applications. How to Apply Our application process is designed to help you shine. We want everyone to feel they belong and can be their best, regardless of background, identity, or culture. Find details, including stages and tips for success, on our How to Apply page.
Lead Business Applications Consultant
Kainos Birmingham, Staffordshire
Oct 01, 2026
Full time
Join Kainos and Shape the Future At Kainos, we're problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we're transforming digital services for millions, delivering cutting edge Workday solutions, or pushing the boundaries of technology, we do it together. We believe in a people-first culture, where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you'll be part of a diverse, ambitious team that celebrates creativity and collaboration. Ready to make your mark? Join us and be part of something bigger. Within the Kainos Microsoft AI Business Solutions capability, we help customers understand complex challenges and achieve meaningful improvements using Microsoft Business Applications, Power Platform, Copilot, AI enabled business processes and emerging agentic capabilities. This includes helping customers redesign services, processes and ways of working for an AI enabled future where people, automation and intelligent agents operate together effectively. As an ABS Business Consultant, you will lead discovery, advisory, shaping and delivery engagements. You may lead standalone advisory activities or act as the lead business facing consultant within a multidisciplinary team, bringing structure to ambiguity and turning customer needs into achievable delivery approaches, platform strategies, capability strategies, operating models and Centre of Excellence designs. This role is expected to lead the business consulting thread of an engagement, not simply contribute to it. You are accountable for shaping business value, adoption outcomes and recommendations that help customers achieve measurable improvements. You work closely with Functional Consultants, Architects and Engineers to translate business outcomes into delivery approaches, whilst maintaining responsibility for customer value, stakeholder alignment and sustainable change rather than solution configuration or technical design. You will Lead discovery, advisory and shaping activities, helping customers define challenges, opportunities and desired outcomes. Facilitate workshops and stakeholder conversations, building alignment and influencing decisions across groups with different priorities. Evaluate options and make recommendations that balance customer value, user needs, feasibility, risk and cost. Lead business facing activities within multidisciplinary delivery teams, keeping customer and operational needs central to delivery. Analyse services, processes and ways of working to define requirements, priorities, measures of success and opportunities for future state redesign enabled by Copilot, AI enabled automation and agentic capabilities. Lead the redesign of business processes, services and ways of working to take advantage of Copilot, AI enabled automation and emerging agentic capabilities, ensuring future state processes are value led, governed, adoptable and supported by appropriate human oversight. Work with Product Owners and delivery teams to shape MVPs, backlogs, roadmaps and delivery approaches. Define value cases, success measures, benefit indicators and outcome metrics that help customers understand the impact of change. Shape platform and capability strategies that help customers scale Microsoft Business Applications, Copilot and AI enabled services. Define operating models, Centre of Excellence designs, governance approaches and target ways of working that enable sustainable adoption and control. Advise customers on how Microsoft Business Applications, Power Platform, AI, Copilot and agentic business processes can improve services, operational outcomes, decision making and the way work is organised. Guide customers through change and adoption activities, including stakeholder engagement, readiness, communications, capability uplift and benefits realisation. Communicate clearly about options, constraints and trade offs, constructively challenging where appropriate. Identify and raise ethical, privacy, security, regulatory and human oversight considerations, particularly when shaping AI enabled solutions, engaging appropriate specialists where required. Contribute to proposals, estimates, presentations and business development activities. Develop consulting methods and reusable assets, coach colleagues and, where applicable, act as a People Manager. Essential Requirements Experience leading consulting, discovery, advisory or shaping activities within technology enabled change, including working in multidisciplinary teams across discovery, design and delivery. Strong stakeholder engagement and facilitation skills, with the confidence to influence and challenge constructively. Strong business analysis and analytical skills, including analysing services and processes, defining requirements, shaping backlogs or MVPs, and redesigning business processes or ways of working for AI enabled and agentic operating models in complex or ambiguous situations. Working knowledge of Microsoft Power Platform or wider Microsoft Business Applications, with awareness of Copilot, AI and AI enabled business processes and services. Experience supporting the design of platform strategies, capability strategies, operating models, governance frameworks or Centre of Excellence approaches that help customers adopt, govern and scale Microsoft Business Applications, Power Platform, Copilot or AI enabled business processes and services. Understanding of how business outcomes, value realisation, organisational change, adoption and benefits realisation activities contribute to successful technology transformation. Ability to communicate clearly with senior, operational, technical and non technical stakeholders. Experience producing clear customer facing outputs, such as recommendations, assessments, roadmaps, value cases or discovery findings. Awareness of Responsible AI principles, governance considerations and human oversight requirements for AI enabled business solutions. Experience coaching colleagues, sharing knowledge or supporting capability development. Desirable Experience as a lead consultant or lead business facing role within a multidisciplinary delivery team. Experience in platform strategy, capability strategy, maturity assessment, operating model design, Centre of Excellence design, service improvement or transformation shaping. Experience defining benefits frameworks, success metrics or value measurement approaches. Experience contributing to pre sales activity, including proposals, estimates, proofs of concept or customer presentations. Experience as a People Manager or supporting colleagues' development and progression. Practical experience supporting organisational change, adoption or benefits realisation programmes. Experience working in complex or regulated environments. Relevant certifications in Microsoft Business Applications, Power Platform, AI, business analysis, organisational change, benefits management or process improvement. Embracing our differences At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field. Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out. We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.
Lead AI Engineer
Harnham - Data & Analytics Recruitment
Sep 30, 2026
Full time
Lead AI Engineer London (Hybrid) Up to £110,000 + 15% Bonus + Excellent BenefitsThis is an opportunity to join a business investing heavily in AI and automation, where you will play a key role in shaping and delivering production-grade Generative AI solutions at scale. Working across high-impact initiatives, you will have the autonomy to influence technical strategy, own solution delivery, and drive measurable business outcomes. The Company They are a well-established, technology-driven organisation undergoing significant AI transformation. With strong executive sponsorship and a growing pipeline of AI initiatives, they are embedding AI into critical business processes to improve customer experience, operational efficiency, and decision-making.You will join a newly established AI function within a wider engineering and MLOps environment, working alongside experienced engineers to deliver innovative, enterprise-scale AI products. The team operates in a fast-paced, collaborative setting where technical expertise and commercial impact are highly valued. The Role As a Lead AI Engineer, you will take ownership of the design, architecture, and delivery of AI solutions from concept through to production.Responsibilities include: Leading the end-to-end delivery of Generative AI and agentic AI solutions Designing and building LLM-powered applications and intelligent automation tools Making key architecture, tooling, and platform decisions across multiple initiatives Evaluating build versus buy approaches and recommending scalable solutions Establishing engineering standards, reusable frameworks, and best practices Ensuring AI systems are production-ready through monitoring, evaluation, governance, and observability Working closely with engineering, security, data protection, and business stakeholders Providing technical leadership and mentoring across AI workstreams Driving AI initiatives that deliver measurable operational and commercial value Your Skills & Experience You will demonstrate strong commercial experience in: Delivering Generative AI solutions into production environments Leading AI projects end-to-end, from discovery through deployment Designing scalable AI architectures within enterprise environments Building LLM-powered applications, RAG solutions, and agent-based systems Software engineering fundamentals, including APIs, distributed systems, and cloud platforms Technical decision-making in fast-moving or ambiguous problem spaces Working within governance, security, and compliance frameworks Influencing stakeholders and communicating complex technical concepts clearlyDesirable experience includes: AWS cloud technologies MLOps or LLMOps practices Financial services or other regulated industries Building reusable AI platforms, frameworks, or internal products What They Offer Salary up to £110,000 15% annual bonus Hybrid working with flexibility and a strong focus on outcomes Generous pension contribution Private medical cover Enhanced parental leave policies Holiday purchase scheme The opportunity to influence AI strategy across a growing function Exposure to a broad range of cutting-edge Generative AI use cases High visibility and genuine ownership of business-critical AI initiatives How to Apply If you are an experienced Lead AI Engineer with a proven track record of delivering production-grade Generative AI solutions, apply today to discuss this opportunity in more detail.
Finance Transformation Lead
BROOK STREET
Sep 30, 2026
Full time
Finance Transformation Lead - London (Hybrid) Our Client, a global organisation specialising in data-driven, digital and AI-enabled transformation, is seeking an accomplished Finance Transformation Lead to join their UK Consulting & Transformation practice. This senior appointment requires a highly experienced leader capable of shaping strategy, designing future-state operating models, and delivering complex, multi-workstream finance transformation programmes for major international organisations. Role Overview The successful candidate will operate across Finance Strategy , Digital Finance , AI-enabled transformation and Operational Excellence . Acting as a trusted advisor to CFOs and senior finance executives, you will lead end-to-end transformation initiatives spanning process optimisation, ERP modernisation, data and reporting architecture, shared services, and intelligent automation. Key Responsibilities Finance Transformation Strategy - Develop and lead strategies aligning operating model, process, technology, data and controls with organisational objectives. Target Operating Model Design - Design future-state TOMs covering service delivery, governance, organisational structure and technology enablement. Process Excellence - Lead transformation across R2R, P2P, O2C, FP&A, Tax, Treasury, Regulatory Reporting and Financial Controls. Digital Finance & ERP Enablement - Shape and deliver digital, automation and AI-enabled solutions including SAP, Oracle, Workday and Dynamics. CFO Advisory - Facilitate executive workshops, value discovery sessions and produce board-level deliverables. Programme Leadership - Oversee multi-geography programmes, PMO structures, RAID management and benefits realisation. Business Development - Support proposals, develop offerings and identify opportunities for growth. Team Leadership - Mentor consulting teams, build capability and promote a culture of excellence and innovation. Essential Qualifications & Experience 15-18+ years' experience in Finance Transformation , consulting, shared services or business transformation. Demonstrable success leading large-scale, complex finance programmes. Deep expertise in operating model design, process optimisation and finance technology enablement. Strong senior stakeholder engagement with CFOs, Finance Directors and executive leadership. Experience within insurance, financial services, banking or large global enterprises (preferred). Professional qualifications such as CA, ACCA, CPA, CIMA, CFA or an MBA in Finance. Technical Capabilities ERP: SAP S/4HANA, Oracle Cloud, Workday Finance, Microsoft Dynamics Analytics: Power BI, Tableau, Alteryx, Anaplan Automation: UiPath, Automation Anywhere, Power Platform AI/GenAI: Intelligent automation, agentic AI, document processing, advanced analytics Leadership Competencies Executive presence and stakeholder management Strategic thinking and analytical problem-solving Programme and portfolio leadership Change management and communication Team development and coaching Commercial acumen Benefits Competitive salary and annual bonus Private healthcare Critical illness and life assurance (4 annual salary) Income protection insurance Pension scheme Financial wellbeing benefits including cashback programmes Cycle-to-work scheme Extensive professional and personal development opportunities Access to learning platforms, workshops and seminars Employee Stock Purchase Plan Apply now Brook Street NMR is acting as an Employment Agency in relation to this vacancy.
AI Automation Engineer (M365)
Tec Partners Recruitment Ltd Worthing, Sussex
Sep 29, 2026
Full time
AI Automation Engineer Employment Type: Permanent Location: Sussex (Hybrid - 1 day onsite per week) Salary: 45,000 - 60,000 The Opportunity An exciting opportunity has arisen for an AI Automation Engineer to join a growing Intelligent Automation and Process Engineering function within a major UK organisation. This is a newly developing capability focused on using AI, Microsoft Copilot and Microsoft Power Platform to transform how work is delivered across the organisation. You'll design and deliver automation solutions that improve business processes, create efficiencies and enhance experiences for both customers and colleagues. You'll have the opportunity to work with emerging AI technologies while helping establish best practice, governance and standards across a growing automation ecosystem. What You'll Be Doing Design and develop AI-powered automation solutions across Microsoft 365. Build workflows, applications and integrations using Power Platform. Develop solutions using Power Automate, Power Apps and Power Pages. Leverage Microsoft Copilot and Copilot Agents to deliver intelligent automation. Work with stakeholders to identify opportunities for process improvement and automation. Design secure, scalable and supportable automation solutions. Troubleshoot and resolve technical issues across automation solutions. Contribute to governance, standards, documentation and best practice. Support the adoption and continuous improvement of AI and automation capabilities. Stay up to date with emerging AI and automation technologies. What We're Looking For Essential Experience Commercial experience developing automation solutions within Microsoft 365. Strong hands-on experience with Power Automate, including Cloud and/or Desktop. Experience with Power Apps and Power Pages. Experience working with Copilot Agents, Microsoft Copilot or similar AI-enabled automation technologies. Strong understanding of workflow design, automation and system integration. Understanding of security and governance principles, including DLP, RBAC and identity management. Strong troubleshooting and problem-solving abilities. Experience with software development lifecycle practices, including testing, CI/CD and technical documentation. Please note: This role is focused on Microsoft 365 and Power Platform automation rather than Dynamics 365. Desirable Experience Experience with Copilot Studio and AI-enabled automation. Microsoft Power Platform certifications such as PL-100, PL-200 or PL-400. Azure certifications such as AZ-900, AI-900 or AZ-204. API-led integration or event-driven architecture. Experience with Alteryx or other data-driven automation tools. Exposure to platforms such as ServiceNow, SAP or GIS. Experience contributing to automation governance, standards or platform adoption. A strong interest in emerging AI technologies and digital transformation. What's On Offer? The opportunity to work with Microsoft Copilot, Power Platform and emerging AI technologies. Join a newly developing Intelligent Automation capability with significant scope for growth. The opportunity to influence engineering standards, governance and best practice.
AI Innovation Lab Engineer
CPS Group (UK) Limited
Sep 29, 2026
Contractor
AI Innovation Lab Engineer Role: AI Innovation Lab Engineer Domain: Global Financial Services Type: Contract, Daily Rate Duration: 6 Months (Initial Duration) Start: ASAP Location: London (Hybrid) Pay Rate: 450 - 480 per day Specialism(s): AI Strategy, Artificial Intelligence, Generative AI, Machine Learning, Large Language Models (LLMs), AI Agents, Conversational AI, Intelligent Automation, Robotic Process Automation (RPA), Data Science, Data Analytics, Predictive Analytics, Natural Language Processing (NLP), AI Product Development, Innovation Management, Emerging Technologies, Digital Transformation, Process Optimisation, Rapid Prototyping, Proof of Concept (PoC) Development, Innovation Labs, Human-Centred Design, Design Thinking, Technology Evaluation, Solution Architecture, Enterprise Technology, Workflow Automation, Agentic AI, Prompt Engineering AI Innovation Lab Engineer CPS Group UK are partnering with a global Financial Services organisation to source an ambitious AI Innovation Specialist to join a newly established innovation team focused on identifying, testing, and scaling high-value AI and automation opportunities across a large enterprise business. This is not a traditional project role. You'll be part of a small, high-impact innovation lab with the freedom to explore emerging technologies, build prototypes rapidly, validate ideas with real users, and help turn promising concepts into enterprise-scale solutions. If you're excited by cutting-edge AI, thrive in fast-moving environments, and prefer building solutions over writing requirements, we'd love to hear from you. What makes this role different? Build-first culture - you'll create working solutions that real users can test and use. Access to frontier technology - explore and evaluate the latest AI tools and platforms. High autonomy - operate as part of a small, agile innovation team with significant freedom to experiment. Visible business impact - your work will directly influence future AI strategy, investment decisions, and enterprise transformation initiatives. Role Overview As an AI Innovation Specialist, you'll work at the forefront of AI experimentation and business innovation, helping uncover opportunities that deliver measurable value. Develop AI agents, automations and intelligent workflows across modern enterprise platforms. Prototype and experiment with generative AI and large language model solutions. Design and run pilot programmes with business users. Measure outcomes, track benefits, and evaluate success against defined objectives. Rapidly iterate solutions based on feedback and real-world performance. Prepare and analyse data to support prototype development and testing. Explore emerging AI technologies, platforms and tools. Assess new solutions against real business use cases. Conduct side-by-side evaluations of alternative technologies. Provide recommendations on future AI capabilities and technology adoption. Create documentation and handover materials for successful pilots. Deliver training and guidance to end users. Support the transition of validated solutions into formal delivery programmes. Engage with stakeholders to understand business challenges and translate them into practical AI opportunities. Required Skills & Experience Demonstrated experience building AI-enabled solutions, prototypes, automations or intelligent agents. Strong understanding of AI technologies and their practical business applications. Experience working with modern AI platforms and large language model technologies. Ability to work independently and deliver outcomes in ambiguous environments. Strong analytical and problem-solving capabilities. Comfortable engaging with both technical and non-technical stakeholders. Ability to move quickly, experiment, learn and adapt. Desirable Experience Experience with platforms such as Salesforce, AWS, Microsoft technologies, data platforms, or AI agent frameworks. Familiarity with AI-assisted development tools and automation technologies. Understanding of machine learning fundamentals. Experience supporting the adoption of new technology within business teams. A consulting, technology, startup, or other fast-paced commercial background. AI investment into measurable operational and commercial value. If you're passionate about turning emerging AI technologies into real-world business outcomes and want the opportunity to experiment, build and innovate at pace, we'd welcome your application. For more information or immediate consideration for this opportunity, please contact Charlie Grant at CPS Group UK url removed By applying to this advert you are giving CPS Group (UK) Ltd authority to hold and process your data for this specific role and any other roles we may deem suitable to you over time. We will not pass your data to any third party without your verbal or written permission to do so. All incoming and outgoing calls are recorded for training and compliance purposes. CPS Group (UK) Ltd is acting as an Employment Agency in relation to this vacancy. Our new privacy policy can be found here (url removed)
Senior AI Automation Engineer
Tec Partners Recruitment Ltd Worthing, Sussex
Sep 29, 2026
Full time
Senior AI Automation Engineer Employment Type: Permanent Location: Sussex (Hybrid - 1 day per week onsite) Salary: 65,000 - 75,000 The Opportunity An exciting opportunity has arisen for a Senior AI Automation Engineer to join a growing Intelligent Automation and Process Engineering function within a major UK organisation. This is a hands-on senior technical role for an experienced automation engineer who can take ownership of solutions from initial discovery and estimation through to design, development, testing and deployment. You'll work across Microsoft Power Platform, Power Automate, Microsoft Copilot and Azure, while helping establish technical standards and best practice across the wider automation capability. As a senior member of the team, you'll provide technical leadership through code reviews, estimation, solution design and mentoring, ensuring solutions are secure, scalable, maintainable and fit for purpose. What You'll Be Doing Take technical ownership of automation projects from discovery through to production. Design and develop complex AI-powered automation solutions across Microsoft 365. Translate business requirements into robust technical solutions and architectures. Produce technical estimates, delivery plans and effort assessments. Conduct code and solution reviews, ensuring development meets agreed standards. Build workflows, applications and integrations using Power Platform. Develop solutions using Power Automate, Power Apps and Power Pages. Leverage Microsoft Copilot, Copilot Agents and Copilot Studio to deliver intelligent automation. Design secure, scalable and supportable solutions across the Microsoft ecosystem. Troubleshoot complex technical issues and provide technical guidance to other engineers. Establish and promote standards around development, testing, documentation and deployment. Mentor and support junior and mid-level engineers. What We're Looking For Essential Experience Strong commercial experience developing automation solutions within Microsoft 365. Extensive hands-on experience with Power Automate, including Cloud and/or Desktop. Strong experience with Power Apps and Power Pages. Experience with Microsoft Copilot, Copilot Agents or Copilot Studio. Strong understanding of workflow design, automation architecture and system integration. Experience conducting code reviews and maintaining development standards. Experience producing technical estimates and delivery plans. Strong understanding of testing, CI/CD, version control and technical documentation. Good understanding of security and governance, including DLP, RBAC and identity management. Ability to communicate technical concepts effectively to technical and non-technical stakeholders. Please note: This role is focused on Microsoft 365 and Power Platform automation rather than Dynamics 365. Desirable Experience Microsoft Power Platform certifications such as PL-200 or PL-400. Azure certifications such as AZ-900, AI-900 or AZ-204. Experience with API-led integration, REST APIs or event-driven architecture. Experience with Alteryx or other data-driven automation technologies. Exposure to ServiceNow, SAP or GIS. Experience establishing automation development standards, governance or technical frameworks. What's On Offer? Work with Microsoft Copilot, Power Platform and emerging AI technologies. A senior technical position within a growing Intelligent Automation capability.