Artificial Intelligence AI Engineering Manager This is a new and exclusive opportunity for an Artificial Intelligence AI Engineering Manager to join a thriving STEM business as they invest in their Artificial Intelligence AI Engineering team Role details Title: Artificial Intelligence AI Engineering Manager Team: Core AI / Applied AI Platforms Location: London or Glasgow, 1 or 2 days a week in the office with flexibility and home working hybrid Reports to the Director of Artificial Intelligence AI Salary; (phone number removed) base salary Technical stack: AI & Emerging Technology Expertise- agent or autonomous AI systems., LLM, Azure AI ecosystem (Azure OpenAI, AI Foundry, Cognitive Services). This is a new and exclusive opportunity for an Artificial Intelligence AI Engineering Manager to lead the design, delivery, and scale of enterprise-grade AI engineering strategy and capabilities, with a focus on agentic AI systems, cloud-native architectures, and responsible AI deployment. This role operates as a player-coach, combining hands-on engineering leadership with team management. The AI Engineering Manager is accountable for building high-performing teams, delivering production AI solutions, and embedding security, governance, and reliability into all AI workloads. This role will include:- AI Platform Engineering & Delivery Agentic AI & Orchestration AI Security, Safety & Governance Cloud & Infrastructure Engineering Leadership & Team Development Stakeholder Engagement & Strategy To be successful in this role, we need someone who can combine technical Artificial Intelligence AI engineering skills, and team leadership/ team management experience Core Technical Competencies Strong hands-on experience with Azure AI ecosystem (Azure OpenAI, AI Foundry, Cognitive Services). Experience with LLM application design: RAG, prompt engineering, orchestration frameworks. AI & Emerging Technology Expertise- agent or autonomous AI systems. Requirements Leadership & Delivery Experience - 5+ years in senior engineering roles, with experience leading technical teams. AZURE expertise AI & Emerging Technology Expertise- agent or autonomous AI systems. For more information, and the chance to be considered, please do send through a CV through to k.roe at Huxley Many thanks To find out more about Huxley, please visit (url removed) Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy Registered office 8 Bishopsgate, London, EC2N 4BQ, United Kingdom Partnership Number OC(phone number removed) England and Wales
Jul 08, 2026
Full time
Artificial Intelligence AI Engineering Manager This is a new and exclusive opportunity for an Artificial Intelligence AI Engineering Manager to join a thriving STEM business as they invest in their Artificial Intelligence AI Engineering team Role details Title: Artificial Intelligence AI Engineering Manager Team: Core AI / Applied AI Platforms Location: London or Glasgow, 1 or 2 days a week in the office with flexibility and home working hybrid Reports to the Director of Artificial Intelligence AI Salary; (phone number removed) base salary Technical stack: AI & Emerging Technology Expertise- agent or autonomous AI systems., LLM, Azure AI ecosystem (Azure OpenAI, AI Foundry, Cognitive Services). This is a new and exclusive opportunity for an Artificial Intelligence AI Engineering Manager to lead the design, delivery, and scale of enterprise-grade AI engineering strategy and capabilities, with a focus on agentic AI systems, cloud-native architectures, and responsible AI deployment. This role operates as a player-coach, combining hands-on engineering leadership with team management. The AI Engineering Manager is accountable for building high-performing teams, delivering production AI solutions, and embedding security, governance, and reliability into all AI workloads. This role will include:- AI Platform Engineering & Delivery Agentic AI & Orchestration AI Security, Safety & Governance Cloud & Infrastructure Engineering Leadership & Team Development Stakeholder Engagement & Strategy To be successful in this role, we need someone who can combine technical Artificial Intelligence AI engineering skills, and team leadership/ team management experience Core Technical Competencies Strong hands-on experience with Azure AI ecosystem (Azure OpenAI, AI Foundry, Cognitive Services). Experience with LLM application design: RAG, prompt engineering, orchestration frameworks. AI & Emerging Technology Expertise- agent or autonomous AI systems. Requirements Leadership & Delivery Experience - 5+ years in senior engineering roles, with experience leading technical teams. AZURE expertise AI & Emerging Technology Expertise- agent or autonomous AI systems. For more information, and the chance to be considered, please do send through a CV through to k.roe at Huxley Many thanks To find out more about Huxley, please visit (url removed) Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy Registered office 8 Bishopsgate, London, EC2N 4BQ, United Kingdom Partnership Number OC(phone number removed) England and Wales
Working Environment The organisation is operating in a fast-evolving AI landscape, with multiple teams at different stages of maturity. Governance and structure are present but not rigid, and success depends on an ability to balance assurance, delivery pace and pragmatism. This work operates in a supportive, understanding, committed and inclusive team. You will engage with senior technical, delivery, commercial and business stakeholders, often operating in contested or ambiguous situations. The emphasis is on trust, judgement and clear reasoning rather than process for its own sake. What You'll Be Doing - Operate as Lead Enterprise Architect for AI-enabled initiatives across the organisation - Establish and evolve an AI architecture capability aligned to the central AI hub - Define and maintain coherent architectures across strategy, delivery, operations and assurance - Translate architectural intent and technical roadmaps into usable, supportable products and services - Provide architectural leadership and challenge to teams adopting AI - Shape approaches to agentic and AI-enabled systems, balancing opportunity with compliance and risk - Lead architectural decision-making in ambiguous or complex situations, clearly articulating trade-offs - Provide architectural input to cloud adoption and integration, particularly across AWS-based platforms - Build alignment and shared understanding across diverse stakeholder groups Your Experience To be successful in this role, you will bring: - Significant experience operating as a Senior or Lead Enterprise Architect - Proven ability to work across the full enterprise context, balancing technical, organisational and commercial considerations - Experience shaping architecture where requirements are incomplete or evolving - Strong understanding of AI-enabled architectures and adoption patterns - Solid cloud architecture experience, including integrating cloud services into enterprise platforms - Experience operating in regulated, high-assurance or compliance-heavy environments - Credibility communicating architectural decisions clearly to technical and non-technical audiences - The ability to influence outcomes through judgement, relationships and trust rather than instruction In Return You will operate at the point where AI ambition meets organisational reality, helping shape how complex systems evolve over time. This is an opportunity to apply deep architectural judgement, influence significant decisions, and help ensure AI adoption is sustainable, coherent and valuable at enterprise scale. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.
Jul 08, 2026
Contractor
Working Environment The organisation is operating in a fast-evolving AI landscape, with multiple teams at different stages of maturity. Governance and structure are present but not rigid, and success depends on an ability to balance assurance, delivery pace and pragmatism. This work operates in a supportive, understanding, committed and inclusive team. You will engage with senior technical, delivery, commercial and business stakeholders, often operating in contested or ambiguous situations. The emphasis is on trust, judgement and clear reasoning rather than process for its own sake. What You'll Be Doing - Operate as Lead Enterprise Architect for AI-enabled initiatives across the organisation - Establish and evolve an AI architecture capability aligned to the central AI hub - Define and maintain coherent architectures across strategy, delivery, operations and assurance - Translate architectural intent and technical roadmaps into usable, supportable products and services - Provide architectural leadership and challenge to teams adopting AI - Shape approaches to agentic and AI-enabled systems, balancing opportunity with compliance and risk - Lead architectural decision-making in ambiguous or complex situations, clearly articulating trade-offs - Provide architectural input to cloud adoption and integration, particularly across AWS-based platforms - Build alignment and shared understanding across diverse stakeholder groups Your Experience To be successful in this role, you will bring: - Significant experience operating as a Senior or Lead Enterprise Architect - Proven ability to work across the full enterprise context, balancing technical, organisational and commercial considerations - Experience shaping architecture where requirements are incomplete or evolving - Strong understanding of AI-enabled architectures and adoption patterns - Solid cloud architecture experience, including integrating cloud services into enterprise platforms - Experience operating in regulated, high-assurance or compliance-heavy environments - Credibility communicating architectural decisions clearly to technical and non-technical audiences - The ability to influence outcomes through judgement, relationships and trust rather than instruction In Return You will operate at the point where AI ambition meets organisational reality, helping shape how complex systems evolve over time. This is an opportunity to apply deep architectural judgement, influence significant decisions, and help ensure AI adoption is sustainable, coherent and valuable at enterprise scale. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION Join us to shape the future of AI-driven business operations. You will have the opportunity to create scalable, safe, and reliable agentic solutions that transform how we work. We value your expertise in building multi-agent systems and your passion for collaborating across teams. At our company, you can grow your career, expand your skills, and make a meaningful impact. Be part of a team that thrives on innovation and continuous improvement. As an AI Engineer in our Agentic AI Solutions team, you will design, build, and deploy autonomous and assistive AI agents that streamline complex workflows. You will collaborate with cross-functional partners to translate operational needs into robust multi-agent systems, leveraging advanced frameworks and technologies. Your work will directly impact our business by delivering scalable and reliable AI solutions. We foster a culture of innovation, learning, and teamwork, where your contributions are valued and your growth is supported. Job Responsibilities: Architect, develop, and productionize autonomous and assistive AI agents to enhance operations. Design multi-agent systems, including role definition, tool integration, planning, memory, and workflow orchestration using modern agent frameworks. Implement Retrieval-Augmented Generation (RAG) pipelines and semantic search with vector databases, including indexing, retrieval policies, and evaluation. Build and integrate agent tools and APIs to connect agents with external services, databases, and internal systems, ensuring robust output parsing and error handling. Practice advanced prompt engineering and implement output validation and guardrails to reduce hallucinations. Design microservices-based architectures and orchestrate multi-step workflows; instrument agents for tracing, metrics, and feedback loops. Partner with stakeholders to define requirements, design intuitive human-AI interfaces, and deliver measurable business impact. Analyze data to inform agent capabilities, optimize retrieval, and drive data-driven decision-making; conduct A/B tests and performance evaluations. Mentor and guide team members on agent frameworks, LLM usage, safety, and best practices. Required Qualifications, Capabilities, and Skills: Advanced degree in Computer Science, Data Science, Machine Learning, or related field. Experience building and deploying agentic AI applications in production environments. Expertise with ML frameworks such as PyTorch, TensorFlow, and scikit-learn. Proficiency in Python; experience writing comprehensive tests and building evaluation harnesses for agents and prompts. Hands-on experience with agent frameworks such as LangChain, CrewAI, AutoGen, LangGraph. Knowledge of generative models including transformers, GANs, VAEs, and diffusion models. Understanding of data preprocessing, feature engineering, and model/agent evaluation techniques. Familiarity with cloud platforms and containerization technologies. Strong problem-solving skills and ability to work independently and collaboratively. Effective communication skills for technical and non-technical audiences. Preferred Qualifications, Capabilities, and Skills: Experience in financial services, especially investment banking operations. Experience fine-tuning small language models with approaches like LoRA, QLoRA, DoRA; quantization and distillation. Familiarity with prompt optimization frameworks and building prompt pipelines and evaluation suites. Experience with distributed computing, data sharding, and performance optimization. Hands-on experience with AWS services related to AI deployment and workflow orchestration. Why Join Us? We offer a competitive salary and benefits package, opportunities for professional growth, and a collaborative, innovative environment focused on responsible AI. You will work on impactful projects that shape the future of finance and have the chance to make a real difference. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Jul 08, 2026
Full time
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION Join us to shape the future of AI-driven business operations. You will have the opportunity to create scalable, safe, and reliable agentic solutions that transform how we work. We value your expertise in building multi-agent systems and your passion for collaborating across teams. At our company, you can grow your career, expand your skills, and make a meaningful impact. Be part of a team that thrives on innovation and continuous improvement. As an AI Engineer in our Agentic AI Solutions team, you will design, build, and deploy autonomous and assistive AI agents that streamline complex workflows. You will collaborate with cross-functional partners to translate operational needs into robust multi-agent systems, leveraging advanced frameworks and technologies. Your work will directly impact our business by delivering scalable and reliable AI solutions. We foster a culture of innovation, learning, and teamwork, where your contributions are valued and your growth is supported. Job Responsibilities: Architect, develop, and productionize autonomous and assistive AI agents to enhance operations. Design multi-agent systems, including role definition, tool integration, planning, memory, and workflow orchestration using modern agent frameworks. Implement Retrieval-Augmented Generation (RAG) pipelines and semantic search with vector databases, including indexing, retrieval policies, and evaluation. Build and integrate agent tools and APIs to connect agents with external services, databases, and internal systems, ensuring robust output parsing and error handling. Practice advanced prompt engineering and implement output validation and guardrails to reduce hallucinations. Design microservices-based architectures and orchestrate multi-step workflows; instrument agents for tracing, metrics, and feedback loops. Partner with stakeholders to define requirements, design intuitive human-AI interfaces, and deliver measurable business impact. Analyze data to inform agent capabilities, optimize retrieval, and drive data-driven decision-making; conduct A/B tests and performance evaluations. Mentor and guide team members on agent frameworks, LLM usage, safety, and best practices. Required Qualifications, Capabilities, and Skills: Advanced degree in Computer Science, Data Science, Machine Learning, or related field. Experience building and deploying agentic AI applications in production environments. Expertise with ML frameworks such as PyTorch, TensorFlow, and scikit-learn. Proficiency in Python; experience writing comprehensive tests and building evaluation harnesses for agents and prompts. Hands-on experience with agent frameworks such as LangChain, CrewAI, AutoGen, LangGraph. Knowledge of generative models including transformers, GANs, VAEs, and diffusion models. Understanding of data preprocessing, feature engineering, and model/agent evaluation techniques. Familiarity with cloud platforms and containerization technologies. Strong problem-solving skills and ability to work independently and collaboratively. Effective communication skills for technical and non-technical audiences. Preferred Qualifications, Capabilities, and Skills: Experience in financial services, especially investment banking operations. Experience fine-tuning small language models with approaches like LoRA, QLoRA, DoRA; quantization and distillation. Familiarity with prompt optimization frameworks and building prompt pipelines and evaluation suites. Experience with distributed computing, data sharding, and performance optimization. Hands-on experience with AWS services related to AI deployment and workflow orchestration. Why Join Us? We offer a competitive salary and benefits package, opportunities for professional growth, and a collaborative, innovative environment focused on responsible AI. You will work on impactful projects that shape the future of finance and have the chance to make a real difference. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
hackajob is collaborating with EY to connect them with exceptional professionals for this role. (INV) Senior Consultant, AI & Data, Data Strategist, Infrastructure, TC UKI Location: Manchester Other locations: Primary Location Only Salary: Competitive Date: 7 May 2026 Job description Requisition ID: At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. AI and Data Strategist Grade: Senior Consultant Position Overview We are seeking an experienced AI and Data Strategy Senior Consultant to help shape and deliver enterprise-wide AI transformation initiatives for clients across the infrastructure industry. This role requires a strategic business technologist who can operate as part of a team to translate AI, data and automation capabilities into tangible business value while designing the organisational frameworks needed to become an AI-first enterprise. Your client impact Help define comprehensive AI, data and automation strategies tailored to client organisations across consumer products, retail, health, energy, and life sciences sectors Support in-depth analysis of industry-specific value chain and identify a portfolio of high impact AI, data and automation use cases, to drive revenue growth, operational efficiency, and competitive differentiation Help assess organisational AI and data landscape maturity and create tailored roadmaps for transformation in areas such as operating models, organisational structure and capabilities required to deliver the strategy Contribute to the development of high-level business and technology architectures and operating models that enable scalable AI deployment (encompassing both data and automation) Support EY project leadership in cross-functional workshops and design sessions with senior stakeholders as they seek to align diverse stakeholder groups around a unified AI vision Help create content to articulate complex AI/agentic concepts and recommendations to senior leadership audiences Conduct analysis that inputs to the prioritisation of AI initiatives based on strategic value, feasibility, and organisational readiness Contribute to solution development of high impact bid responses and proposal for AI led transformation Essential Qualifications STEM degree or an equivalent certification in Computer Science, Data Science, Engineering, or related field Essential Criteria Experience of contributing to enterprise-level AI strategies for complex or multinational organisations Familiarity with the design of operating models and organisational structures for data and AI functions Familiarity and understanding of AI/ML technologies, including generative AI, predictive analytics, NLP, data and Intelligent Automation Familiarity with AI governance frameworks, model risk management, and regulatory requirements Soft Skills Communication, storytelling and presentation skills Experience of facilitation and workshop design capabilities including ability to influence senior stakeholders Experience of interacting and collaborating with multi-disciplinary teams (data scientists, engineers, business strategists) Continuous learning mindset to stay ahead of rapidly evolving AI landscape and strategies for deployment Strategic thinking with ability to translate complex technical concepts into business language and explain how they drive business value Preferred Criteria Familiarity of modern data governance frameworks and architectures, cloud platforms, and AI infrastructure including DAMA Exposure to at least one of the following domains and/or sectors: Sector: Infrastructure Domain: Finance, Supply Chain, Commercial, Programme & Portfolio, Capital Delivery Experience with Big 4 consulting methodologies and framework Preferred Qualifications Certifications in relevant areas (e.g., cloud platforms, data governance, AI ethics, automation technologies) Knowledge of sustainability and climate change challenges across industries Knowledge of one or more of the following sectors: Energy, Government, Transport, Power and Utilities, Telco and Media Experience working in industry, government or a management consultancy environment Ability to analyse data and deliver insightful, practical solutions Experience of managing teams, including internal staff, clients and wider stakeholders Experience of delivering presentations to senior audiences Skills and experience in Portfolio, Programme and Project Management What we offer We offer a competitive remuneration package where you'll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings, and a wide range of discounts, offers and promotions. Plus, we offer: Continuous learning: You'll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs. If you can demonstrate that you meet the criteria above, please contact us as soon as possible. The exceptional EY experience. It's yours to build. Apply now EY Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
Jul 08, 2026
Full time
hackajob is collaborating with EY to connect them with exceptional professionals for this role. (INV) Senior Consultant, AI & Data, Data Strategist, Infrastructure, TC UKI Location: Manchester Other locations: Primary Location Only Salary: Competitive Date: 7 May 2026 Job description Requisition ID: At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. AI and Data Strategist Grade: Senior Consultant Position Overview We are seeking an experienced AI and Data Strategy Senior Consultant to help shape and deliver enterprise-wide AI transformation initiatives for clients across the infrastructure industry. This role requires a strategic business technologist who can operate as part of a team to translate AI, data and automation capabilities into tangible business value while designing the organisational frameworks needed to become an AI-first enterprise. Your client impact Help define comprehensive AI, data and automation strategies tailored to client organisations across consumer products, retail, health, energy, and life sciences sectors Support in-depth analysis of industry-specific value chain and identify a portfolio of high impact AI, data and automation use cases, to drive revenue growth, operational efficiency, and competitive differentiation Help assess organisational AI and data landscape maturity and create tailored roadmaps for transformation in areas such as operating models, organisational structure and capabilities required to deliver the strategy Contribute to the development of high-level business and technology architectures and operating models that enable scalable AI deployment (encompassing both data and automation) Support EY project leadership in cross-functional workshops and design sessions with senior stakeholders as they seek to align diverse stakeholder groups around a unified AI vision Help create content to articulate complex AI/agentic concepts and recommendations to senior leadership audiences Conduct analysis that inputs to the prioritisation of AI initiatives based on strategic value, feasibility, and organisational readiness Contribute to solution development of high impact bid responses and proposal for AI led transformation Essential Qualifications STEM degree or an equivalent certification in Computer Science, Data Science, Engineering, or related field Essential Criteria Experience of contributing to enterprise-level AI strategies for complex or multinational organisations Familiarity with the design of operating models and organisational structures for data and AI functions Familiarity and understanding of AI/ML technologies, including generative AI, predictive analytics, NLP, data and Intelligent Automation Familiarity with AI governance frameworks, model risk management, and regulatory requirements Soft Skills Communication, storytelling and presentation skills Experience of facilitation and workshop design capabilities including ability to influence senior stakeholders Experience of interacting and collaborating with multi-disciplinary teams (data scientists, engineers, business strategists) Continuous learning mindset to stay ahead of rapidly evolving AI landscape and strategies for deployment Strategic thinking with ability to translate complex technical concepts into business language and explain how they drive business value Preferred Criteria Familiarity of modern data governance frameworks and architectures, cloud platforms, and AI infrastructure including DAMA Exposure to at least one of the following domains and/or sectors: Sector: Infrastructure Domain: Finance, Supply Chain, Commercial, Programme & Portfolio, Capital Delivery Experience with Big 4 consulting methodologies and framework Preferred Qualifications Certifications in relevant areas (e.g., cloud platforms, data governance, AI ethics, automation technologies) Knowledge of sustainability and climate change challenges across industries Knowledge of one or more of the following sectors: Energy, Government, Transport, Power and Utilities, Telco and Media Experience working in industry, government or a management consultancy environment Ability to analyse data and deliver insightful, practical solutions Experience of managing teams, including internal staff, clients and wider stakeholders Experience of delivering presentations to senior audiences Skills and experience in Portfolio, Programme and Project Management What we offer We offer a competitive remuneration package where you'll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings, and a wide range of discounts, offers and promotions. Plus, we offer: Continuous learning: You'll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs. If you can demonstrate that you meet the criteria above, please contact us as soon as possible. The exceptional EY experience. It's yours to build. Apply now EY Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION As a Software Engineer II - Applied AI in the AI/ML for Engineering team at JPMorganChase, you'll be at the forefront of AI innovation, combining cutting-edge techniques with unique data assets to optimise business decisions and automate processes. This role offers a unique blend of artificial intelligence and software engineering, allowing you to advance engineering processes and build impactful products. In this role, you will leverage the latest research in Large Language Models, Natural Language Processing and statistical machine learning to build AI-powered products that automate processes and enhance decision-making. You will collaborate with engineering and testing teams to design scalable Machine Learning services and communicate AI capabilities to diverse audiences. Job Responsibilities Development of advanced machine learning models to address complex operational challenges. Evaluating and communicating the impact brought by proposed solutions. Architect and oversee the deployment of generative AI applications and agents to automate and enhance business processes. Collaborate with senior stakeholders to understand strategic business needs and translate them into comprehensive technical solutions. Analyze large datasets to extract actionable insights and support data-driven decision-making at a strategic level. Ensure the scalability, reliability, and security of AI/ML solutions in a production environment, with a focus on long-term sustainability. Stay informed about the latest advancements in AI/ML technologies and drive their integration into our operations. Mentor and guide junior team members, fostering a culture of innovation and continuous learning. Required Qualifications, Capabilities, And Skills Advanced degree in a STEM field (Degree in Computer Science or Software Engineering), with experience in AI/ML. Proven track record of AI/ML model development and deployment of AI/ML applications in a production environment, with expertise in deploying models on AWS platforms. Deep familiarity with MLOps practices, covering the full cycle from design, experimentation, deployment, to monitoring and maintenance of machine learning models. Expertise in machine learning frameworks such as TensorFlow, PyTorch, PyTorch Lightning, or Scikit-learn. Proficiency in Python with a strong emphasis on code quality and reliability through comprehensive testing. Extensive experience with generative AI models, mainly as cloud service APIs (e.g., OpenAI). Experience with integrating user feedback to establish self-improving AI applications. Solid understanding of data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms (AWS). Excellent problem-solving skills and the ability to work independently and collaboratively. Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders. Preferred Qualifications, Capabilities, And Skills A Ph.D. is a plus but not required. Experience in software engineering practices. Experience in developing AI solutions using agentic frameworks. Experience fine-tuning LLMs with advanced techniques. Experience with prompt optimisation to enhance the performance and effectiveness of prompt engineering. Demonstrated ability to design and implement AI application architecture. Significant experience in bringing AI applications to production with a focus on strategic impact and innovation. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Jul 08, 2026
Full time
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION As a Software Engineer II - Applied AI in the AI/ML for Engineering team at JPMorganChase, you'll be at the forefront of AI innovation, combining cutting-edge techniques with unique data assets to optimise business decisions and automate processes. This role offers a unique blend of artificial intelligence and software engineering, allowing you to advance engineering processes and build impactful products. In this role, you will leverage the latest research in Large Language Models, Natural Language Processing and statistical machine learning to build AI-powered products that automate processes and enhance decision-making. You will collaborate with engineering and testing teams to design scalable Machine Learning services and communicate AI capabilities to diverse audiences. Job Responsibilities Development of advanced machine learning models to address complex operational challenges. Evaluating and communicating the impact brought by proposed solutions. Architect and oversee the deployment of generative AI applications and agents to automate and enhance business processes. Collaborate with senior stakeholders to understand strategic business needs and translate them into comprehensive technical solutions. Analyze large datasets to extract actionable insights and support data-driven decision-making at a strategic level. Ensure the scalability, reliability, and security of AI/ML solutions in a production environment, with a focus on long-term sustainability. Stay informed about the latest advancements in AI/ML technologies and drive their integration into our operations. Mentor and guide junior team members, fostering a culture of innovation and continuous learning. Required Qualifications, Capabilities, And Skills Advanced degree in a STEM field (Degree in Computer Science or Software Engineering), with experience in AI/ML. Proven track record of AI/ML model development and deployment of AI/ML applications in a production environment, with expertise in deploying models on AWS platforms. Deep familiarity with MLOps practices, covering the full cycle from design, experimentation, deployment, to monitoring and maintenance of machine learning models. Expertise in machine learning frameworks such as TensorFlow, PyTorch, PyTorch Lightning, or Scikit-learn. Proficiency in Python with a strong emphasis on code quality and reliability through comprehensive testing. Extensive experience with generative AI models, mainly as cloud service APIs (e.g., OpenAI). Experience with integrating user feedback to establish self-improving AI applications. Solid understanding of data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms (AWS). Excellent problem-solving skills and the ability to work independently and collaboratively. Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders. Preferred Qualifications, Capabilities, And Skills A Ph.D. is a plus but not required. Experience in software engineering practices. Experience in developing AI solutions using agentic frameworks. Experience fine-tuning LLMs with advanced techniques. Experience with prompt optimisation to enhance the performance and effectiveness of prompt engineering. Demonstrated ability to design and implement AI application architecture. Significant experience in bringing AI applications to production with a focus on strategic impact and innovation. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
hackajob is collaborating with AND Digital to connect them with exceptional professionals for this role. Who We Are: AND Digital are a tech company focused on accelerating digital delivery and dedicated to closing the digital skills gap. We've been helping organisations build better digital products and stronger digital teams since 2014. We believe our work should always leave a legacy for the client. We do this through close relationships with our offices (or 'Clubs') so that our partners are always prioritised by a regional team close to them. This unique model has driven success for our clients and ourselves, evidenced by our remarkable organic growth since 2014. Join us - and help us fulfil our mission to close the world's digital skills gap. To strengthen AND's position as a leader in the data industry, we are seeking a Data Principal (hands on Architect) to lead the local Data & AI Practice and expand our Data capability. This pivotal role supporting the local club leadership requires a balance of leading on client, leading the data practice proposition in the local market and building upon our existing data skills and capability from your experience. You will be working closely with ANDs global data practice team, your practice team and local leadership to drive growth and value for our clients deepening our client partnerships. Your Leadership & Influence: Data Leadership: You have a proven track record of managing and inspiring teams. You excel at navigating the complexities of enterprise-scale problem solving, turning challenges into opportunities for our clients. Stakeholder Artistry: You are a master of client-facing delivery. You can translate complex data concepts into business value, managing multi-vendor environments with a focus on long-term partnership. Designing for People and Purpose: Your expertise goes beyond just building scalable architectures; you design systems with a focus on delivering value. You ensure that your extensible and scalable solutions are implemented because they consistently meet the evolving needs of both the business and its users. Your strategic mindset: Quality Advocate: You take personal pride in the integrity of your work. Beyond just fixing bugs, you champion quality assurance and performance tuning as a mindset, ensuring the data programs we build for our clients are robust, reliable, and respected. Industry Stewardship: You are a lifelong learner who keeps a pulse on industry standards and best practices. Partnership Focus: You champion relationships with technology partners, whether established or new, working collaboratively to deliver for clients. Your Technical Fluency: You lead by example. While your primary focus is strategic, you maintain the technical depth required to guide teams through the full Data Product Lifecycle: Technology breadth: You bring a seasoned perspective to both modern and traditional ecosystems-with extensive experience building data solutions using Microsoft Azure and/or AWS native services, with development to production experience in Snowflake, Databricks or Fabric, managing delivery with an Agile mindset. Data Product mentality: You understand how to build Data Products ensuring that every pipeline and dataset is discoverable, addressable, and secure by design. Data capabilities: You understand the full lifecycle of data from data discovery, storage, pipelines, ETL, streaming through to how data is managed including data quality, metadata management and how data is used for applications and core decision making through advanced analytics. AI: You have a deep expertise or experience of AI, specifically how to build AI solutions in modern data platforms (Databricks/Snowflake). In addition to Microsoft Azure, leveraging core technologies in the AI Foundry ecosystem, understanding different business challenges require varied solutions from SLM's to intelligent Agentic automation from LLM foundational models, Human in the Loop and MLOps. Data Architecture Design: You understand and know when to use the following data architecture design patterns RAG (Retrieval-Augmented-Generation), Serverless, DWH models, Data Mesh and Data Products. Hands on mindset: You speak the language of data fluently, whether it's Python, R, or SQL and are ready to jump in to provide solutions where required. Why join AND Digital? We have three values: wonder, share, and delight. These values inform how we work with clients, and our culture: what it feels like to work for AND. We believe collaboration, ambition, curiosity and fun can drive innovation by creating a better environment for problem-solving. By joining AND, we'll provide: Opportunities to work on projects with big clients and the chance to produce meaningful work that makes a difference to people's lives. A "Blended Working" model, meaning you will be able to work in a range of locations from; your home, in your clubhouse, on a client, as well as just a change of scenery. A dedicated career scrum team, designed to help you reach your career goals and develop the skills you need to be your best self. An annual budget for training and upskilling, including allocated days off so you don't have to study in your own free time. Monthly and quarterly team socials - on us - ranging from after work drinks, to driving experience days with your fellow club members. A safe environment for you to be yourself and challenge yourself. Benefits 25 days holiday allowance + bank holidays Share scheme A £1000 flexifund to use on a personalised list of benefits such Gym membership, Cycle to Work Scheme, Health, dental and optical cash plan 6% pension PLUS many more For a full list of benefits - click here Equal Opportunities Statement At AND Digital we embrace diversity and are committed to equal opportunities. We are actively recruiting for a diverse and inclusive workforce so want to ensure we do everything we can to support your application. We want you to feel safe and empowered to let us know if you require any adjustments to be made to your application or interview process so please speak to our recruitment team.
Jul 08, 2026
Full time
hackajob is collaborating with AND Digital to connect them with exceptional professionals for this role. Who We Are: AND Digital are a tech company focused on accelerating digital delivery and dedicated to closing the digital skills gap. We've been helping organisations build better digital products and stronger digital teams since 2014. We believe our work should always leave a legacy for the client. We do this through close relationships with our offices (or 'Clubs') so that our partners are always prioritised by a regional team close to them. This unique model has driven success for our clients and ourselves, evidenced by our remarkable organic growth since 2014. Join us - and help us fulfil our mission to close the world's digital skills gap. To strengthen AND's position as a leader in the data industry, we are seeking a Data Principal (hands on Architect) to lead the local Data & AI Practice and expand our Data capability. This pivotal role supporting the local club leadership requires a balance of leading on client, leading the data practice proposition in the local market and building upon our existing data skills and capability from your experience. You will be working closely with ANDs global data practice team, your practice team and local leadership to drive growth and value for our clients deepening our client partnerships. Your Leadership & Influence: Data Leadership: You have a proven track record of managing and inspiring teams. You excel at navigating the complexities of enterprise-scale problem solving, turning challenges into opportunities for our clients. Stakeholder Artistry: You are a master of client-facing delivery. You can translate complex data concepts into business value, managing multi-vendor environments with a focus on long-term partnership. Designing for People and Purpose: Your expertise goes beyond just building scalable architectures; you design systems with a focus on delivering value. You ensure that your extensible and scalable solutions are implemented because they consistently meet the evolving needs of both the business and its users. Your strategic mindset: Quality Advocate: You take personal pride in the integrity of your work. Beyond just fixing bugs, you champion quality assurance and performance tuning as a mindset, ensuring the data programs we build for our clients are robust, reliable, and respected. Industry Stewardship: You are a lifelong learner who keeps a pulse on industry standards and best practices. Partnership Focus: You champion relationships with technology partners, whether established or new, working collaboratively to deliver for clients. Your Technical Fluency: You lead by example. While your primary focus is strategic, you maintain the technical depth required to guide teams through the full Data Product Lifecycle: Technology breadth: You bring a seasoned perspective to both modern and traditional ecosystems-with extensive experience building data solutions using Microsoft Azure and/or AWS native services, with development to production experience in Snowflake, Databricks or Fabric, managing delivery with an Agile mindset. Data Product mentality: You understand how to build Data Products ensuring that every pipeline and dataset is discoverable, addressable, and secure by design. Data capabilities: You understand the full lifecycle of data from data discovery, storage, pipelines, ETL, streaming through to how data is managed including data quality, metadata management and how data is used for applications and core decision making through advanced analytics. AI: You have a deep expertise or experience of AI, specifically how to build AI solutions in modern data platforms (Databricks/Snowflake). In addition to Microsoft Azure, leveraging core technologies in the AI Foundry ecosystem, understanding different business challenges require varied solutions from SLM's to intelligent Agentic automation from LLM foundational models, Human in the Loop and MLOps. Data Architecture Design: You understand and know when to use the following data architecture design patterns RAG (Retrieval-Augmented-Generation), Serverless, DWH models, Data Mesh and Data Products. Hands on mindset: You speak the language of data fluently, whether it's Python, R, or SQL and are ready to jump in to provide solutions where required. Why join AND Digital? We have three values: wonder, share, and delight. These values inform how we work with clients, and our culture: what it feels like to work for AND. We believe collaboration, ambition, curiosity and fun can drive innovation by creating a better environment for problem-solving. By joining AND, we'll provide: Opportunities to work on projects with big clients and the chance to produce meaningful work that makes a difference to people's lives. A "Blended Working" model, meaning you will be able to work in a range of locations from; your home, in your clubhouse, on a client, as well as just a change of scenery. A dedicated career scrum team, designed to help you reach your career goals and develop the skills you need to be your best self. An annual budget for training and upskilling, including allocated days off so you don't have to study in your own free time. Monthly and quarterly team socials - on us - ranging from after work drinks, to driving experience days with your fellow club members. A safe environment for you to be yourself and challenge yourself. Benefits 25 days holiday allowance + bank holidays Share scheme A £1000 flexifund to use on a personalised list of benefits such Gym membership, Cycle to Work Scheme, Health, dental and optical cash plan 6% pension PLUS many more For a full list of benefits - click here Equal Opportunities Statement At AND Digital we embrace diversity and are committed to equal opportunities. We are actively recruiting for a diverse and inclusive workforce so want to ensure we do everything we can to support your application. We want you to feel safe and empowered to let us know if you require any adjustments to be made to your application or interview process so please speak to our recruitment team.
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION As an Applied AI / ML Lead - Vice President - Machine Learning Engineer at JPMorgan Infrastructure Platform, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Generative AI, Agentic AI, and statistical machine learning to revolutionize cloud migration. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI - powered products and services and increasing opportunity for re-use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor. Job responsibilities: Lead the deployment and scaling of advanced generative AI, agentic AI, and classical ML solutions. Design and execute enterprise-wide, reusable AI/ML frameworks and core infrastructure to accelerate AI solution development. Design and develop multi-agent systems for orchestration, agent-to-agent communication, eval, memory, telemetry, and guardrails. Apply context and prompt engineering techniques to improve prompt-based model performance. Develop and maintain tools and frameworks for prompt-based agent evaluation, monitoring, and optimization at enterprise scale. Build and maintain data pipelines and processing workflows for scalable, efficient data consumption. Write secure, high-quality production code and conduct code reviews. Partner with Engineering, Product, and Business teams to identify requirements and develop solutions. Communicate technical concepts and results to both technical and non-technical stakeholders, including senior leadership. Provide technical leadership, mentorship, and guidance to junior engineers, promoting a culture of excellence and continuous learning. Required qualifications, capabilities, and skills: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. Experience in machine learning engineering. Strong proficiency in Python and experience deploying end-to-end pipelines on AWS. Hands-on experience in system design, application development, testing, and operational stability. Preferred qualifications, capabilities, and skills: Strategic thinker with the ability to drive technical vision for business impact. Demonstrated leadership working with engineers, data scientists, and ML practitioners. Experience in customising and optimizing Github Copilot using VSCode Extension or Model Context Protocol (MCP) Experience with AWS and infrastructure-as-code tools such as Terraform. Experience in multi-agent orchestration. Familiarity with MLOps practices, including CI/CD for ML, model monitoring, automated deployment, and ML pipelines. Experience with agentic telemetry and evaluation services. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Jul 08, 2026
Full time
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION As an Applied AI / ML Lead - Vice President - Machine Learning Engineer at JPMorgan Infrastructure Platform, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Generative AI, Agentic AI, and statistical machine learning to revolutionize cloud migration. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI - powered products and services and increasing opportunity for re-use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor. Job responsibilities: Lead the deployment and scaling of advanced generative AI, agentic AI, and classical ML solutions. Design and execute enterprise-wide, reusable AI/ML frameworks and core infrastructure to accelerate AI solution development. Design and develop multi-agent systems for orchestration, agent-to-agent communication, eval, memory, telemetry, and guardrails. Apply context and prompt engineering techniques to improve prompt-based model performance. Develop and maintain tools and frameworks for prompt-based agent evaluation, monitoring, and optimization at enterprise scale. Build and maintain data pipelines and processing workflows for scalable, efficient data consumption. Write secure, high-quality production code and conduct code reviews. Partner with Engineering, Product, and Business teams to identify requirements and develop solutions. Communicate technical concepts and results to both technical and non-technical stakeholders, including senior leadership. Provide technical leadership, mentorship, and guidance to junior engineers, promoting a culture of excellence and continuous learning. Required qualifications, capabilities, and skills: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. Experience in machine learning engineering. Strong proficiency in Python and experience deploying end-to-end pipelines on AWS. Hands-on experience in system design, application development, testing, and operational stability. Preferred qualifications, capabilities, and skills: Strategic thinker with the ability to drive technical vision for business impact. Demonstrated leadership working with engineers, data scientists, and ML practitioners. Experience in customising and optimizing Github Copilot using VSCode Extension or Model Context Protocol (MCP) Experience with AWS and infrastructure-as-code tools such as Terraform. Experience in multi-agent orchestration. Familiarity with MLOps practices, including CI/CD for ML, model monitoring, automated deployment, and ML pipelines. Experience with agentic telemetry and evaluation services. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
AI Technical Delivery Lead Contract: 6 Months Day Rate: 650- 722.50 per day (Inside IR35) Location: UK (Hybrid) Damia Group is partnering with a global technology and digital transformation consultancy that delivers complex IT, cloud, data, and AI solutions for some of the world's largest enterprises. They are seeking an experienced AI Technical Delivery Lead to drive the successful delivery of a strategic Agentic AI programme. This is a hands-on technical leadership role, ideal for someone who can bridge business and engineering teams while ensuring AI initiatives are delivered at pace. This is not a traditional Programme Manager position, the successful candidate will bring deep technical expertise alongside strong delivery governance capabilities. Key Responsibilities Lead the technical delivery of a large-scale Agentic AI programme, ensuring sprint-by-sprint execution and successful outcomes. Work closely with senior technical stakeholders and engineering leadership to align priorities and remove delivery blockers. Provide technical leadership across AI solution delivery, ensuring best practice throughout the programme lifecycle. Drive delivery governance, reporting, risk management, and technical decision-making. Coordinate cross-functional engineering teams to ensure high-quality, timely delivery. Act as the technical SME, providing guidance on architecture, AI technologies, and cloud platforms. Required Experience Proven experience leading the delivery of enterprise-scale AI or Agentic AI programmes. Strong technical knowledge of Agentic AI frameworks and modern AI delivery practices. Hands-on expertise across one or more major hyperscale cloud platforms, including AWS , Microsoft Azure , and Google Cloud Platform (GCP) . Strong understanding of AI architecture, cloud-native solutions, and enterprise integration. Experience driving Agile delivery across multiple technical workstreams. Excellent stakeholder management and communication skills, with the ability to influence senior technical leaders. If you're an experienced AI Technical Delivery Lead looking to play a key role in delivering cutting-edge AI solutions within a global technology environment, we'd love to hear from you. Damia Group Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept our Data Protection Policy which can be found on our website. Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job. Should the role require the successful candidate to undergo and be eligible for UK Security Vetting. Clearance sponsorship will be provided where required. Due to the nature of the work, candidates should meet the relevant residency requirements. If applicable, Reserved Post nationality restrictions will be confirmed by the client. Damia is committed to inclusive recruitment and welcomes applicants from all backgrounds. Damia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003.
Jul 08, 2026
Contractor
AI Technical Delivery Lead Contract: 6 Months Day Rate: 650- 722.50 per day (Inside IR35) Location: UK (Hybrid) Damia Group is partnering with a global technology and digital transformation consultancy that delivers complex IT, cloud, data, and AI solutions for some of the world's largest enterprises. They are seeking an experienced AI Technical Delivery Lead to drive the successful delivery of a strategic Agentic AI programme. This is a hands-on technical leadership role, ideal for someone who can bridge business and engineering teams while ensuring AI initiatives are delivered at pace. This is not a traditional Programme Manager position, the successful candidate will bring deep technical expertise alongside strong delivery governance capabilities. Key Responsibilities Lead the technical delivery of a large-scale Agentic AI programme, ensuring sprint-by-sprint execution and successful outcomes. Work closely with senior technical stakeholders and engineering leadership to align priorities and remove delivery blockers. Provide technical leadership across AI solution delivery, ensuring best practice throughout the programme lifecycle. Drive delivery governance, reporting, risk management, and technical decision-making. Coordinate cross-functional engineering teams to ensure high-quality, timely delivery. Act as the technical SME, providing guidance on architecture, AI technologies, and cloud platforms. Required Experience Proven experience leading the delivery of enterprise-scale AI or Agentic AI programmes. Strong technical knowledge of Agentic AI frameworks and modern AI delivery practices. Hands-on expertise across one or more major hyperscale cloud platforms, including AWS , Microsoft Azure , and Google Cloud Platform (GCP) . Strong understanding of AI architecture, cloud-native solutions, and enterprise integration. Experience driving Agile delivery across multiple technical workstreams. Excellent stakeholder management and communication skills, with the ability to influence senior technical leaders. If you're an experienced AI Technical Delivery Lead looking to play a key role in delivering cutting-edge AI solutions within a global technology environment, we'd love to hear from you. Damia Group Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept our Data Protection Policy which can be found on our website. Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job. Should the role require the successful candidate to undergo and be eligible for UK Security Vetting. Clearance sponsorship will be provided where required. Due to the nature of the work, candidates should meet the relevant residency requirements. If applicable, Reserved Post nationality restrictions will be confirmed by the client. Damia is committed to inclusive recruitment and welcomes applicants from all backgrounds. Damia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003.
Job Description: You will lead a small, high-output agentic engineering pod migrating AWS Lambda applications to Azure. Inspired by OpenAIs Harness Engineering model, your primary job is not writing code it is designing the harness: the scaffolding, constraints, and feedback loops that let Claude Code agents do reliable work click apply for full job details
Jul 08, 2026
Contractor
Job Description: You will lead a small, high-output agentic engineering pod migrating AWS Lambda applications to Azure. Inspired by OpenAIs Harness Engineering model, your primary job is not writing code it is designing the harness: the scaffolding, constraints, and feedback loops that let Claude Code agents do reliable work click apply for full job details
Python Developer - Exposure Analytics £80,000-£90,000 + Benefits Permanent London Hybrid (2-3 Days per Week Onsite) We're supporting a leading London Market insurer in the search for a Python Developer to join their Exposure Analytics team.This is a fantastic opportunity to build innovative analytics and exposure management tools that directly influence underwriting decisions, portfolio optimisation, and catastrophe risk management, while helping drive the adoption of AI-enabled solutions across the business.Key Responsibilities Develop web-based analytics tools delivering exposure, loss simulation and risk insights to underwriting teams Build and integrate solutions within a modern data lake architecture Design bespoke exposure calculation engines using Open Exposure Data (OED) formats Support AI-driven initiatives, including natural language querying and agentic workflows Collaborate with Data, Infrastructure, Claims, Pricing and Underwriting teams Contribute to the development of a reinsurance results data warehouse and portfolio analytics capability Improve data quality, reconciliation processes and reporting frameworks Skills & Experience 3-5 years' software development experience Strong Python development skills with FastAPI, Flask or Django Experience building full-stack applications using React, JavaScript/TypeScript and Node.js Knowledge of GitHub, CI/CD, automated testing and Agile delivery methodologies Databricks experience highly desirable, including Lakehouse architecture and Delta tables Exposure to geospatial data and spatial analysis beneficial Interest in AI technologies and AI-assisted development tools London Market Insurance or Reinsurance experience desirable Package & Working Arrangement Permanent position £80,000-£90,000 base salary Hybrid working model - 2-3 days per week onsite in London Opportunity to work on cutting-edge analytics, data and AI initiatives Direct exposure to underwriting, exposure management and business-critical decision making If you're a Python Developer looking to work at the intersection of software engineering, analytics, data platforms and AI within the insurance sector, I'd be keen to speak with you.
Jul 07, 2026
Full time
Python Developer - Exposure Analytics £80,000-£90,000 + Benefits Permanent London Hybrid (2-3 Days per Week Onsite) We're supporting a leading London Market insurer in the search for a Python Developer to join their Exposure Analytics team.This is a fantastic opportunity to build innovative analytics and exposure management tools that directly influence underwriting decisions, portfolio optimisation, and catastrophe risk management, while helping drive the adoption of AI-enabled solutions across the business.Key Responsibilities Develop web-based analytics tools delivering exposure, loss simulation and risk insights to underwriting teams Build and integrate solutions within a modern data lake architecture Design bespoke exposure calculation engines using Open Exposure Data (OED) formats Support AI-driven initiatives, including natural language querying and agentic workflows Collaborate with Data, Infrastructure, Claims, Pricing and Underwriting teams Contribute to the development of a reinsurance results data warehouse and portfolio analytics capability Improve data quality, reconciliation processes and reporting frameworks Skills & Experience 3-5 years' software development experience Strong Python development skills with FastAPI, Flask or Django Experience building full-stack applications using React, JavaScript/TypeScript and Node.js Knowledge of GitHub, CI/CD, automated testing and Agile delivery methodologies Databricks experience highly desirable, including Lakehouse architecture and Delta tables Exposure to geospatial data and spatial analysis beneficial Interest in AI technologies and AI-assisted development tools London Market Insurance or Reinsurance experience desirable Package & Working Arrangement Permanent position £80,000-£90,000 base salary Hybrid working model - 2-3 days per week onsite in London Opportunity to work on cutting-edge analytics, data and AI initiatives Direct exposure to underwriting, exposure management and business-critical decision making If you're a Python Developer looking to work at the intersection of software engineering, analytics, data platforms and AI within the insurance sector, I'd be keen to speak with you.
AI Software Engineer, Firebase, GCP, COR7557 An exceptional opportunity for an AI Software Engineer to join an early stage start-up, building a workflow and intelligence platform powered by agentic AI, multimodal analysis and domain-specific insight. This is a hands-on lead engineering role, with a clear path to CTO as the company scales - an Engineer who wants to lead. What will I be doing? Building on Firebase, using Claude API and leading LLMs, the AI Software Engineer will build the end-to-end architecture, security, performance and integration. Working closely with the Head of Product, the AI Software Engineer will take well-defined specs and prototypes (Replit) and turn them into production-quality code. As the company grows, the AI Software Engineer will start building the engineering function - hiring, structuring, mentoring. The expectation is that the AI Software Engineer will grow into the CTO role as the team and product scales. What do I need? Deep Firebase expertise (Firestore, Cloud Run, Auth, Security Rules), having built production systems, not just prototypes Demonstrable experience of building and deploying complex AI applications using LLMs and ideally, agentic workflows A familiarity with vector databases (pgvector, ChromaDB, Pinecone or similar) is a plus Benefits include: Flexibility - the team works fully remotely, albeit with frequent meetups to share ideas Stock options Excellent opportunities for progression and development, as part of a rapidly scaling company So What's Next? If you are an experienced AI Software developer, keen to progress into a CTO role and would like to learn more, please apply below and I will be in touch with you shortly to discuss the role further Corriculo Ltd acts as an employment agency and an employment business. ,
Jul 07, 2026
Full time
AI Software Engineer, Firebase, GCP, COR7557 An exceptional opportunity for an AI Software Engineer to join an early stage start-up, building a workflow and intelligence platform powered by agentic AI, multimodal analysis and domain-specific insight. This is a hands-on lead engineering role, with a clear path to CTO as the company scales - an Engineer who wants to lead. What will I be doing? Building on Firebase, using Claude API and leading LLMs, the AI Software Engineer will build the end-to-end architecture, security, performance and integration. Working closely with the Head of Product, the AI Software Engineer will take well-defined specs and prototypes (Replit) and turn them into production-quality code. As the company grows, the AI Software Engineer will start building the engineering function - hiring, structuring, mentoring. The expectation is that the AI Software Engineer will grow into the CTO role as the team and product scales. What do I need? Deep Firebase expertise (Firestore, Cloud Run, Auth, Security Rules), having built production systems, not just prototypes Demonstrable experience of building and deploying complex AI applications using LLMs and ideally, agentic workflows A familiarity with vector databases (pgvector, ChromaDB, Pinecone or similar) is a plus Benefits include: Flexibility - the team works fully remotely, albeit with frequent meetups to share ideas Stock options Excellent opportunities for progression and development, as part of a rapidly scaling company So What's Next? If you are an experienced AI Software developer, keen to progress into a CTO role and would like to learn more, please apply below and I will be in touch with you shortly to discuss the role further Corriculo Ltd acts as an employment agency and an employment business. ,
AI Software Engineer, Firebase, GCP, COR7557B An exceptional opportunity for an AI Software Engineer to join an early stage start-up, building a workflow and intelligence platform powered by agentic AI, multimodal analysis and domain-specific insight. This is a hands-on lead engineering role, with a clear path to CTO as the company scales - an Engineer who wants to lead. What will I be doing? Building on Firebase, using Claude API and leading LLMs, the AI Software Engineer will build the end-to-end architecture, security, performance and integration. Working closely with the Head of Product, the AI Software Engineer will take well-defined specs and prototypes (Replit) and turn them into production-quality code. As the company grows, the AI Software Engineer will start building the engineering function - hiring, structuring, mentoring. The expectation is that the AI Software Engineer will grow into the CTO role as the team and product scales. What do I need? Deep Firebase expertise (Firestore, Cloud Run, Auth, Security Rules), having built production systems, not just prototypes Demonstrable experience of building and deploying complex AI applications using LLMs and ideally, agentic workflows A familiarity with vector databases (pgvector, ChromaDB, Pinecone or similar) is a plus Benefits include: Flexibility - the team works fully remotely, albeit with frequent meetups to share ideas Stock options Excellent opportunities for progression and development, as part of a rapidly scaling company So What's Next? If you are an experienced AI Software developer, keen to progress into a CTO role and would like to learn more, please apply below and I will be in touch with you shortly to discuss the role further Corriculo Ltd acts as an employment agency and an employment business. ,
Jul 07, 2026
Full time
AI Software Engineer, Firebase, GCP, COR7557B An exceptional opportunity for an AI Software Engineer to join an early stage start-up, building a workflow and intelligence platform powered by agentic AI, multimodal analysis and domain-specific insight. This is a hands-on lead engineering role, with a clear path to CTO as the company scales - an Engineer who wants to lead. What will I be doing? Building on Firebase, using Claude API and leading LLMs, the AI Software Engineer will build the end-to-end architecture, security, performance and integration. Working closely with the Head of Product, the AI Software Engineer will take well-defined specs and prototypes (Replit) and turn them into production-quality code. As the company grows, the AI Software Engineer will start building the engineering function - hiring, structuring, mentoring. The expectation is that the AI Software Engineer will grow into the CTO role as the team and product scales. What do I need? Deep Firebase expertise (Firestore, Cloud Run, Auth, Security Rules), having built production systems, not just prototypes Demonstrable experience of building and deploying complex AI applications using LLMs and ideally, agentic workflows A familiarity with vector databases (pgvector, ChromaDB, Pinecone or similar) is a plus Benefits include: Flexibility - the team works fully remotely, albeit with frequent meetups to share ideas Stock options Excellent opportunities for progression and development, as part of a rapidly scaling company So What's Next? If you are an experienced AI Software developer, keen to progress into a CTO role and would like to learn more, please apply below and I will be in touch with you shortly to discuss the role further Corriculo Ltd acts as an employment agency and an employment business. ,
ALink Recruitment are working with a fast-growing infrastructure business operating across railway asset management, surveying, examinations, compliance and technical reporting. Working with major infrastructure organisations, the business is investing heavily in data, automation and AI to support its next phase of growth. The role will be fully office based, Monday-Friday. Role Purpose This is a business-critical role responsible for making operational, commercial and technical performance measurable, visible and actionable. Working closely with directors, managers and delivery teams, you will transform data into meaningful insight, automate repetitive processes and help build a scalable operating model. This is not a passive analyst role. The successful candidate will be expected to challenge poor data quality, expose inefficiencies, improve reporting and use technology to drive measurable business improvements. Key Responsibilities Develop a business-wide KPI and performance measurement framework. Build executive, operational and commercial dashboards that support decision-making. Create visibility of revenue, margins, productivity, utilisation, project performance and quality metrics. Improve data quality, governance, consistency and auditability across the business. Standardise data capture, reporting structures and operational workflows. Turn operational activity into meaningful management information and actionable insight. Identify and automate repetitive administrative, reporting and monitoring tasks. Lead the development of AI-assisted technical reporting solutions. Design and implement controlled AI agents and agentic workflows. Improve report-writing efficiency while maintaining technical quality and human review. Support resource planning, workload forecasting and operational control. Provide insight into profitability, margin leakage, productivity trends and business risk. Identify performance gaps, inefficiencies and opportunities for improvement. Work across Microsoft 365, Power BI, SharePoint, Excel, financial systems and operational platforms. Ensure AI, automation and reporting solutions remain secure, controlled and commercially valuable. Key Deliverables Business-wide KPI and reporting framework. Executive and operational performance dashboards. Improved data quality and reporting consistency. AI-assisted reporting workflows and pilot solutions. Automated business processes that reduce manual administration. Monthly management information and performance reporting. Recommendations for future systems, automation and AI development. Skills & Experience Data analysis, business intelligence and performance reporting. Power BI or equivalent dashboard and visualisation tools. Advanced Excel, data modelling and structured data design. KPI development, process improvement and workflow automation. Microsoft 365, SharePoint and Teams environments. Commercial reporting, profitability analysis and operational performance measurement. Experience implementing AI tools, AI-assisted workflows or automation technologies. Ability to turn complex operational data into clear business insight. Why Apply? Opportunity to build and shape a data, automation and AI function from the ground up.
Jul 07, 2026
Full time
ALink Recruitment are working with a fast-growing infrastructure business operating across railway asset management, surveying, examinations, compliance and technical reporting. Working with major infrastructure organisations, the business is investing heavily in data, automation and AI to support its next phase of growth. The role will be fully office based, Monday-Friday. Role Purpose This is a business-critical role responsible for making operational, commercial and technical performance measurable, visible and actionable. Working closely with directors, managers and delivery teams, you will transform data into meaningful insight, automate repetitive processes and help build a scalable operating model. This is not a passive analyst role. The successful candidate will be expected to challenge poor data quality, expose inefficiencies, improve reporting and use technology to drive measurable business improvements. Key Responsibilities Develop a business-wide KPI and performance measurement framework. Build executive, operational and commercial dashboards that support decision-making. Create visibility of revenue, margins, productivity, utilisation, project performance and quality metrics. Improve data quality, governance, consistency and auditability across the business. Standardise data capture, reporting structures and operational workflows. Turn operational activity into meaningful management information and actionable insight. Identify and automate repetitive administrative, reporting and monitoring tasks. Lead the development of AI-assisted technical reporting solutions. Design and implement controlled AI agents and agentic workflows. Improve report-writing efficiency while maintaining technical quality and human review. Support resource planning, workload forecasting and operational control. Provide insight into profitability, margin leakage, productivity trends and business risk. Identify performance gaps, inefficiencies and opportunities for improvement. Work across Microsoft 365, Power BI, SharePoint, Excel, financial systems and operational platforms. Ensure AI, automation and reporting solutions remain secure, controlled and commercially valuable. Key Deliverables Business-wide KPI and reporting framework. Executive and operational performance dashboards. Improved data quality and reporting consistency. AI-assisted reporting workflows and pilot solutions. Automated business processes that reduce manual administration. Monthly management information and performance reporting. Recommendations for future systems, automation and AI development. Skills & Experience Data analysis, business intelligence and performance reporting. Power BI or equivalent dashboard and visualisation tools. Advanced Excel, data modelling and structured data design. KPI development, process improvement and workflow automation. Microsoft 365, SharePoint and Teams environments. Commercial reporting, profitability analysis and operational performance measurement. Experience implementing AI tools, AI-assisted workflows or automation technologies. Ability to turn complex operational data into clear business insight. Why Apply? Opportunity to build and shape a data, automation and AI function from the ground up.
AI-assisted development is becoming a normal part of modern software engineering. This role is for a developer who wants to work that way, not just read about it. You will join a software business building technology for the eCommerce and logistics sector, where AI-assisted and agentic coding practices are already influencing how the team designs, builds and improves software. Commercial experience with AI development tools would be useful, but it is not essential. What matters is that you are genuinely curious, technically engaged and already experimenting with AI-assisted development, either at work or in your own time. Full-Stack Developer - AI-Assisted Development Southampton, Hampshire 55,000 to 60,000 Hybrid, 2 days per week in the office Permanent The role You will join an experienced development team working on a greenfield project for the company's parent group, alongside the ongoing development and improvement of existing software products. This is a balanced full-stack role, covering front-end development, APIs, back-end services, databases, cloud platforms and deployment pipelines. You do not need to be equally strong in every area, but you should enjoy working across the stack and be comfortable moving between user-facing features and server-side development. The team is using AI-assisted development as part of its day-to-day engineering approach, including tools such as Claude, Cursor, GitHub Copilot or similar. You do not need to have used these commercially, but you should be interested in how AI can improve development speed, code quality, testing, problem solving and delivery. You will be involved in: Creating clean, tested and maintainable TypeScript code across front-end and back-end services Building and improving user-facing features, APIs and core platform functionality Working with databases, cloud services and deployment pipelines Using AI-assisted development tools as part of your coding workflow Contributing to the team's approach to agentic AI coding and modern development practices Working with product owners, developers and technical leadership to understand requirements and shape solutions Supporting, maintaining and improving existing services Learning and applying cloud, infrastructure and deployment practices as part of the wider engineering team You should have strong experience with TypeScript and modern software development, with the ability to contribute across both front-end and back-end systems. You will need experience with: TypeScript React, Next.js or similar front-end technologies Node.js, Bun or similar server-side JavaScript/TypeScript environments REST APIs, ideally with Express, Nest.js or similar MongoDB and/or relational databases Unit testing with Jest or similar Working in a CI environment Clear communication and the ability to work well in a collaborative development team Useful experience AI-assisted development tools such as Claude, Cursor, Claude Code, GitHub Copilot or similar Personal or commercial experience experimenting with LLMs, coding agents or agentic development workflows GCP, AWS or Azure Terraform or similar Infrastructure as Code Docker and Docker Compose Continuous Delivery or Continuous Deployment environments Feature flagging, dark launching or similar release techniques Kubernetes, serverless environments or GitOps principles The company uses GCP, but strong AWS or Azure experience is also welcome if you are interested in moving further into Google Cloud. Who this will suit This will suit a full-stack developer who enjoys building software, likes working with modern tools and is open-minded about how AI is changing development. You do not need to be an AI specialist. You do need to be the kind of developer who keeps learning, tries new tools, thinks carefully about quality and wants to understand how AI-assisted development can be used properly rather than just talked about. Apply now or contact Chris Lynes at Spectrum IT Recruitment for more information. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Jul 07, 2026
Full time
AI-assisted development is becoming a normal part of modern software engineering. This role is for a developer who wants to work that way, not just read about it. You will join a software business building technology for the eCommerce and logistics sector, where AI-assisted and agentic coding practices are already influencing how the team designs, builds and improves software. Commercial experience with AI development tools would be useful, but it is not essential. What matters is that you are genuinely curious, technically engaged and already experimenting with AI-assisted development, either at work or in your own time. Full-Stack Developer - AI-Assisted Development Southampton, Hampshire 55,000 to 60,000 Hybrid, 2 days per week in the office Permanent The role You will join an experienced development team working on a greenfield project for the company's parent group, alongside the ongoing development and improvement of existing software products. This is a balanced full-stack role, covering front-end development, APIs, back-end services, databases, cloud platforms and deployment pipelines. You do not need to be equally strong in every area, but you should enjoy working across the stack and be comfortable moving between user-facing features and server-side development. The team is using AI-assisted development as part of its day-to-day engineering approach, including tools such as Claude, Cursor, GitHub Copilot or similar. You do not need to have used these commercially, but you should be interested in how AI can improve development speed, code quality, testing, problem solving and delivery. You will be involved in: Creating clean, tested and maintainable TypeScript code across front-end and back-end services Building and improving user-facing features, APIs and core platform functionality Working with databases, cloud services and deployment pipelines Using AI-assisted development tools as part of your coding workflow Contributing to the team's approach to agentic AI coding and modern development practices Working with product owners, developers and technical leadership to understand requirements and shape solutions Supporting, maintaining and improving existing services Learning and applying cloud, infrastructure and deployment practices as part of the wider engineering team You should have strong experience with TypeScript and modern software development, with the ability to contribute across both front-end and back-end systems. You will need experience with: TypeScript React, Next.js or similar front-end technologies Node.js, Bun or similar server-side JavaScript/TypeScript environments REST APIs, ideally with Express, Nest.js or similar MongoDB and/or relational databases Unit testing with Jest or similar Working in a CI environment Clear communication and the ability to work well in a collaborative development team Useful experience AI-assisted development tools such as Claude, Cursor, Claude Code, GitHub Copilot or similar Personal or commercial experience experimenting with LLMs, coding agents or agentic development workflows GCP, AWS or Azure Terraform or similar Infrastructure as Code Docker and Docker Compose Continuous Delivery or Continuous Deployment environments Feature flagging, dark launching or similar release techniques Kubernetes, serverless environments or GitOps principles The company uses GCP, but strong AWS or Azure experience is also welcome if you are interested in moving further into Google Cloud. Who this will suit This will suit a full-stack developer who enjoys building software, likes working with modern tools and is open-minded about how AI is changing development. You do not need to be an AI specialist. You do need to be the kind of developer who keeps learning, tries new tools, thinks carefully about quality and wants to understand how AI-assisted development can be used properly rather than just talked about. Apply now or contact Chris Lynes at Spectrum IT Recruitment for more information. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Associate Software Engineer Level II Pay of £38,772, plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance. Are you ready to kickstart your software engineering career and build solutions that genuinely change lives? DWP are looking for 4 Junior Software Engineers to join The Garage. The Garage is our specialist automation team - we lead the way in developing innovative solutions that transform public services for millions of citizens every day. With over 75 solutions delivered and more than 50 million transactions processed in the past eight years, The Garage is recognised as a leader in intelligent automation across government and industry. You will join a collaborative central based team where ideas are shared openly and learning is continuous supported through an effective hybrid working environment. As a Junior Software Engineer, you'll work alongside experienced engineers to build real automation solutions, develop modern technical skills and deliver high-quality code that drives meaningful large-scale impact from day one. What skills, knowledge and experience will you need? Strong grounding in programming fundamentals using JavaScript/TypeScript and Node.js, with hands-on experience in at least one modern framework (e.g. React, Next.js, or Express). Practical knowledge of at least one database technology, whether SQL or NoSQL (e.g. Postgres, MySQL, or MongoDB). Familiarity with cloud platforms such as AWS or Azure, with some exposure to using them in practice. Basic understanding of automated testing and continuous integration/continuous delivery (CI/CD) pipelines. Good awareness of the software development lifecycle, with experience working collaboratively within a development team. You and your role As a Junior Software Engineer, you'll develop features and components for automation solutions as part of an agile scrum team. You'll be supported by a mentor and work closely with experienced engineers to build your skills and confidence. DWP is expanding its automation capability, using modern technologies such as cloud-native APIs and emerging Agentic AI, alongside RPA for legacy systems. You'll contribute to building new solutions from the ground up, strengthening your coding fundamentals while gaining practical experience with AWS and automation platforms. From day one, you'll work on live projects, supported through pair programming, code reviews and collaboration with colleagues across different levels. You'll use a range of modern tools in your day-to-day work, including Jira for planning, Confluence for documentation, and Teams and Slack for communication. Our code is managed, built and deployed through GitLab, with solutions hosted on AWS and supported by MacBook Pro devices. You'll also have access to a wide range of learning and development opportunities, including structured training, industry conferences and platforms such as Cloud Academy. You can connect directly with partners like AWS, UiPath and MongoDB through dedicated Slack channels in a team that actively supports learning, growth and progression. Details. Wages. Perks. Location: You'll join us in our digital hub Newcastle. Hybrid Working: We work a hybrid model - you'll spend some time working at home and some time collaborating face to face in a hub. Pay: We offer pay of £38,772. Pension: You'll get a brilliant civil service pension with employer contributions of 28.97%, worth £11,232 per year. Holidays: A generous leave package starting at 24 days rising to 26 after one year. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Flexible working including flexible hours and flex-friendly policies Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Sports and social activities Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process: We know your time is valuable so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. There'll be full instructions when you click through. Interview: a single stage interview online. CLICK APPLY for more information and to start your application.
Jul 07, 2026
Full time
Associate Software Engineer Level II Pay of £38,772, plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance. Are you ready to kickstart your software engineering career and build solutions that genuinely change lives? DWP are looking for 4 Junior Software Engineers to join The Garage. The Garage is our specialist automation team - we lead the way in developing innovative solutions that transform public services for millions of citizens every day. With over 75 solutions delivered and more than 50 million transactions processed in the past eight years, The Garage is recognised as a leader in intelligent automation across government and industry. You will join a collaborative central based team where ideas are shared openly and learning is continuous supported through an effective hybrid working environment. As a Junior Software Engineer, you'll work alongside experienced engineers to build real automation solutions, develop modern technical skills and deliver high-quality code that drives meaningful large-scale impact from day one. What skills, knowledge and experience will you need? Strong grounding in programming fundamentals using JavaScript/TypeScript and Node.js, with hands-on experience in at least one modern framework (e.g. React, Next.js, or Express). Practical knowledge of at least one database technology, whether SQL or NoSQL (e.g. Postgres, MySQL, or MongoDB). Familiarity with cloud platforms such as AWS or Azure, with some exposure to using them in practice. Basic understanding of automated testing and continuous integration/continuous delivery (CI/CD) pipelines. Good awareness of the software development lifecycle, with experience working collaboratively within a development team. You and your role As a Junior Software Engineer, you'll develop features and components for automation solutions as part of an agile scrum team. You'll be supported by a mentor and work closely with experienced engineers to build your skills and confidence. DWP is expanding its automation capability, using modern technologies such as cloud-native APIs and emerging Agentic AI, alongside RPA for legacy systems. You'll contribute to building new solutions from the ground up, strengthening your coding fundamentals while gaining practical experience with AWS and automation platforms. From day one, you'll work on live projects, supported through pair programming, code reviews and collaboration with colleagues across different levels. You'll use a range of modern tools in your day-to-day work, including Jira for planning, Confluence for documentation, and Teams and Slack for communication. Our code is managed, built and deployed through GitLab, with solutions hosted on AWS and supported by MacBook Pro devices. You'll also have access to a wide range of learning and development opportunities, including structured training, industry conferences and platforms such as Cloud Academy. You can connect directly with partners like AWS, UiPath and MongoDB through dedicated Slack channels in a team that actively supports learning, growth and progression. Details. Wages. Perks. Location: You'll join us in our digital hub Newcastle. Hybrid Working: We work a hybrid model - you'll spend some time working at home and some time collaborating face to face in a hub. Pay: We offer pay of £38,772. Pension: You'll get a brilliant civil service pension with employer contributions of 28.97%, worth £11,232 per year. Holidays: A generous leave package starting at 24 days rising to 26 after one year. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Flexible working including flexible hours and flex-friendly policies Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Sports and social activities Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process: We know your time is valuable so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. There'll be full instructions when you click through. Interview: a single stage interview online. CLICK APPLY for more information and to start your application.
AI Enablement Lead / Architect Reigate / WFH to £130k Do you have experience of leading AI adoption and technical transformation within an enterprise scale organisation? You could be progressing your career in an impactful role at a global InsurTech business that is producing game changing technology. As an AI Enablement Lead you will lead the evolution of an AI enabled Software Development Lifecycle, defining the technical vision, building the core platform capabilities and establishing the engineering practices that make AI a trusted part of everyday software delivery. Working across Engineering, Platform, Security, Data and Product teams, you'll design and implement reusable AI infrastructure including SDKs, deployment frameworks, model management, evaluation tooling and self-service platforms that allow teams to rapidly integrate AI into coding, testing, deployment, monitoring and operations. You'll establish best practices for prompt engineering, RAG architectures, agentic workflows, model versioning, experimentation and governance, ensuring AI capabilities are scalable, secure and production ready. Beyond the technology, you'll play a pivotal role in driving adoption across the organisation. You'll create implementation playbooks, architectural guidance and operational standards, mentor engineering teams, lead technical workshops and become the go-to expert for AI platform architecture and integration challenges. You'll also work closely with Security and Compliance to embed robust guardrails, observability and governance into every layer of the platform. Location / WFH: There's a flexible work from home hybrid model, you'll join colleagues in the Reigate office twice a week for team meet-ups and stakeholder meetings with the other three days work from home. About you: You have extensive experience in software, platform or infrastructure engineering, with a track record of delivering large-scale, developer facing platforms and leading complex technical initiatives You have hands-on experience building AI-enabled applications using LLMs, agentic frameworks, RAG, prompt engineering and modern GenAI tooling You have a strong knowledge of software engineering fundamentals, including system design, APIs, CI/CD, testing, observability, cloud-native architecture and operational excellence You can design scalable platforms, SDKs and self-service tooling that simplify complexity and accelerate engineering teams You're proficient with Python and one or more modern programming languages such as C#, JavaScript or TypeScript, together with experience of AWS, Azure or GCP You have excellent communication skills, with the ability to influence engineers, product leaders and senior stakeholders and drive technical adoption across the organisation You're pragmatic with an engineering first mindset, balancing innovation with reliability, security, governance and measurable business outcomes You have a genuine enthusiasm for AI and developer experience, with the curiosity to stay at the forefront of emerging technologies and the leadership skills to help others adopt them successfully What's in it for you: As a AI Enablement Lead you will receive a competitive salary plus a range of perks and benefits: Up to £130k salary plus bonus Hybrid working (3 days a week work from home) Enhanced parental leave 25 days holiday (plus buy days and your birthday off) Pension, Health Care and Life Assurance Training and career development Social events and a range of other perks Apply now to find out more about this AI Enablement Lead / Architect opportunity.
Jul 07, 2026
Full time
AI Enablement Lead / Architect Reigate / WFH to £130k Do you have experience of leading AI adoption and technical transformation within an enterprise scale organisation? You could be progressing your career in an impactful role at a global InsurTech business that is producing game changing technology. As an AI Enablement Lead you will lead the evolution of an AI enabled Software Development Lifecycle, defining the technical vision, building the core platform capabilities and establishing the engineering practices that make AI a trusted part of everyday software delivery. Working across Engineering, Platform, Security, Data and Product teams, you'll design and implement reusable AI infrastructure including SDKs, deployment frameworks, model management, evaluation tooling and self-service platforms that allow teams to rapidly integrate AI into coding, testing, deployment, monitoring and operations. You'll establish best practices for prompt engineering, RAG architectures, agentic workflows, model versioning, experimentation and governance, ensuring AI capabilities are scalable, secure and production ready. Beyond the technology, you'll play a pivotal role in driving adoption across the organisation. You'll create implementation playbooks, architectural guidance and operational standards, mentor engineering teams, lead technical workshops and become the go-to expert for AI platform architecture and integration challenges. You'll also work closely with Security and Compliance to embed robust guardrails, observability and governance into every layer of the platform. Location / WFH: There's a flexible work from home hybrid model, you'll join colleagues in the Reigate office twice a week for team meet-ups and stakeholder meetings with the other three days work from home. About you: You have extensive experience in software, platform or infrastructure engineering, with a track record of delivering large-scale, developer facing platforms and leading complex technical initiatives You have hands-on experience building AI-enabled applications using LLMs, agentic frameworks, RAG, prompt engineering and modern GenAI tooling You have a strong knowledge of software engineering fundamentals, including system design, APIs, CI/CD, testing, observability, cloud-native architecture and operational excellence You can design scalable platforms, SDKs and self-service tooling that simplify complexity and accelerate engineering teams You're proficient with Python and one or more modern programming languages such as C#, JavaScript or TypeScript, together with experience of AWS, Azure or GCP You have excellent communication skills, with the ability to influence engineers, product leaders and senior stakeholders and drive technical adoption across the organisation You're pragmatic with an engineering first mindset, balancing innovation with reliability, security, governance and measurable business outcomes You have a genuine enthusiasm for AI and developer experience, with the curiosity to stay at the forefront of emerging technologies and the leadership skills to help others adopt them successfully What's in it for you: As a AI Enablement Lead you will receive a competitive salary plus a range of perks and benefits: Up to £130k salary plus bonus Hybrid working (3 days a week work from home) Enhanced parental leave 25 days holiday (plus buy days and your birthday off) Pension, Health Care and Life Assurance Training and career development Social events and a range of other perks Apply now to find out more about this AI Enablement Lead / Architect opportunity.
Principal AI Scientist - Learning & Assessment AI Location: UK Remote (Candidates must be UK based) Salary: 110,000 - 125,000 Employment Type: Permanent The Opportunity We're working with an innovative technology-led organisation that is transforming how AI is used within learning, assessment, and workforce skills development. They are seeking a Principal AI Scientist to lead the scientific design, validation, and evolution of next-generation AI-powered assessment and learning solutions embedded directly into the flow of work. This is a senior individual contributor role suited to someone with deep expertise across AI/ML, psychometrics, measurement science, and production-scale intelligent systems. The successful candidate will operate as a scientific authority within the organisation, shaping methodology, influencing product direction, and ensuring AI-driven solutions are fair, explainable, scalable, and scientifically rigorous. The role offers the opportunity to work at the intersection of modern AI systems, applied research, and enterprise-scale product delivery. The Role As Principal AI Scientist, you will take ownership of the scientific and methodological direction of AI-enabled learning and assessment products. You will work closely with product leadership, engineering teams, data scientists, and domain experts to translate advanced research into production-ready systems that deliver measurable user and business outcomes. This position requires someone comfortable operating in highly complex environments with significant technical, ethical, and commercial considerations. Key Responsibilities Scientific Leadership & Product Ownership Lead the scientific strategy for AI-enabled assessment, learning, and skills products Define robust methodologies balancing innovation, scalability, fairness, validity, and explainability Act as the senior scientific authority for assessment and measurement decisions Establish scientific standards, reusable frameworks, and evaluation methodologies Lead validation studies to ensure reliability, consistency, fairness, and performance stability Define and monitor scientific KPIs including drift detection, bias indicators, and model effectiveness Identify and mitigate scientific and measurement risks associated with AI systems at scale AI, Machine Learning & Modern AI Systems Apply AI and machine learning techniques, including LLMs and foundation models, to learning and assessment use cases Support development of AI-powered capabilities such as: Skills inference Adaptive assessment Automated content generation AI-driven feedback and reasoning systems Contribute to the evaluation and governance of agentic AI workflows Partner with engineering teams to ensure scientific integrity is maintained throughout implementation and deployment Support lifecycle monitoring and continuous improvement of production AI systems Research, Innovation & Strategic Influence Translate research findings into scalable, commercially viable product capabilities Produce thought leadership content including whitepapers and scientific insights Influence product and AI strategy through scientific expertise and evidence-based recommendations Support internal and external discussions around responsible AI and ethical AI implementation Engage with enterprise stakeholders and senior leadership on scientific and AI-related topics Required Experience Advanced degree (MSc or PhD preferred) in: Psychometrics Educational Measurement Statistics Machine Learning Artificial Intelligence Data Science Or equivalent commercial experience Proven experience building or leading AI-enabled assessment or measurement systems Deep expertise in validation methodologies, statistical modelling, and measurement theory Strong applied experience with machine learning and AI systems in production environments Practical understanding of modern AI architectures including Large Language Models (LLMs) Experience collaborating closely with engineering and product teams Ability to influence technical and strategic decisions through expertise rather than direct authority Experience operating in complex, high-ambiguity environments with significant business or ethical risk considerations Desirable Experience Experience applying LLMs within learning, workforce skills, or assessment products Exposure to adaptive testing, continuous assessment, or automated item/content generation Experience evaluating or governing AI agentic workflows Background within learning technology, education technology, workforce development, or skills ecosystems Experience working on enterprise-scale or long-lived AI platforms What They're Looking For A scientifically rigorous thinker with strong commercial awareness Someone passionate about responsible and explainable AI Comfortable balancing research innovation with practical delivery Strong communicator able to work across technical and non-technical audiences A collaborative leader who enjoys solving complex real-world problems Package 110,000 - 125,000 salary Fully remote role within the UK High-impact position within a cutting-edge AI environment Opportunity to influence next-generation AI products at scale Please note: Applicants must be based in the UK. Sponsorship is not available for this position.
Jul 07, 2026
Full time
Principal AI Scientist - Learning & Assessment AI Location: UK Remote (Candidates must be UK based) Salary: 110,000 - 125,000 Employment Type: Permanent The Opportunity We're working with an innovative technology-led organisation that is transforming how AI is used within learning, assessment, and workforce skills development. They are seeking a Principal AI Scientist to lead the scientific design, validation, and evolution of next-generation AI-powered assessment and learning solutions embedded directly into the flow of work. This is a senior individual contributor role suited to someone with deep expertise across AI/ML, psychometrics, measurement science, and production-scale intelligent systems. The successful candidate will operate as a scientific authority within the organisation, shaping methodology, influencing product direction, and ensuring AI-driven solutions are fair, explainable, scalable, and scientifically rigorous. The role offers the opportunity to work at the intersection of modern AI systems, applied research, and enterprise-scale product delivery. The Role As Principal AI Scientist, you will take ownership of the scientific and methodological direction of AI-enabled learning and assessment products. You will work closely with product leadership, engineering teams, data scientists, and domain experts to translate advanced research into production-ready systems that deliver measurable user and business outcomes. This position requires someone comfortable operating in highly complex environments with significant technical, ethical, and commercial considerations. Key Responsibilities Scientific Leadership & Product Ownership Lead the scientific strategy for AI-enabled assessment, learning, and skills products Define robust methodologies balancing innovation, scalability, fairness, validity, and explainability Act as the senior scientific authority for assessment and measurement decisions Establish scientific standards, reusable frameworks, and evaluation methodologies Lead validation studies to ensure reliability, consistency, fairness, and performance stability Define and monitor scientific KPIs including drift detection, bias indicators, and model effectiveness Identify and mitigate scientific and measurement risks associated with AI systems at scale AI, Machine Learning & Modern AI Systems Apply AI and machine learning techniques, including LLMs and foundation models, to learning and assessment use cases Support development of AI-powered capabilities such as: Skills inference Adaptive assessment Automated content generation AI-driven feedback and reasoning systems Contribute to the evaluation and governance of agentic AI workflows Partner with engineering teams to ensure scientific integrity is maintained throughout implementation and deployment Support lifecycle monitoring and continuous improvement of production AI systems Research, Innovation & Strategic Influence Translate research findings into scalable, commercially viable product capabilities Produce thought leadership content including whitepapers and scientific insights Influence product and AI strategy through scientific expertise and evidence-based recommendations Support internal and external discussions around responsible AI and ethical AI implementation Engage with enterprise stakeholders and senior leadership on scientific and AI-related topics Required Experience Advanced degree (MSc or PhD preferred) in: Psychometrics Educational Measurement Statistics Machine Learning Artificial Intelligence Data Science Or equivalent commercial experience Proven experience building or leading AI-enabled assessment or measurement systems Deep expertise in validation methodologies, statistical modelling, and measurement theory Strong applied experience with machine learning and AI systems in production environments Practical understanding of modern AI architectures including Large Language Models (LLMs) Experience collaborating closely with engineering and product teams Ability to influence technical and strategic decisions through expertise rather than direct authority Experience operating in complex, high-ambiguity environments with significant business or ethical risk considerations Desirable Experience Experience applying LLMs within learning, workforce skills, or assessment products Exposure to adaptive testing, continuous assessment, or automated item/content generation Experience evaluating or governing AI agentic workflows Background within learning technology, education technology, workforce development, or skills ecosystems Experience working on enterprise-scale or long-lived AI platforms What They're Looking For A scientifically rigorous thinker with strong commercial awareness Someone passionate about responsible and explainable AI Comfortable balancing research innovation with practical delivery Strong communicator able to work across technical and non-technical audiences A collaborative leader who enjoys solving complex real-world problems Package 110,000 - 125,000 salary Fully remote role within the UK High-impact position within a cutting-edge AI environment Opportunity to influence next-generation AI products at scale Please note: Applicants must be based in the UK. Sponsorship is not available for this position.
Finance Manager (AI focus) PE backed Consumer Tech business London (Hybrid - 2 days per week) 12-month FTC This is an opportunity for a qualified Finance Manager to join a high-growth, PE-backed digital consumer business on a 12-month fixed-term contract. The business has delivered strong, sustained performance over the last three years, with EBITDA running approximately 20% ahead of budget and continued double-digit growth driven by its leading position in the UK consumer market. The business is heavily investing in AI, automation and agent-based workflows, you will be responsible for identifying, building and embedding AI-driven solutions that materially reduce manual effort and reshape how the team operates. Reporting to the Financial Controller, you will also take ownership of the full management accounting and month-end reporting cycle for one brand. Key responsibilities: Own the end-to-end month-end close, delivering accurate, timely and insight-led management accounts for one brand Use Claude and other AI tools to design, build and implement AI-driven workflows that automate elements of the close cycle (e.g. reconciliations, accruals, reporting packs) Develop and refine "agentic" finance processes using Claude and complementary automation tools to reduce manual intervention across month-end, cash flow and reporting Identify and execute automation opportunities using Claude, AI platforms and workflow tools in combination with existing finance systems and data sources Manage and develop one part qualified accountant Act as a key driver of the broader finance AI transformation agenda within the group What we're looking for: ACA, ACCA or CIMA qualified with strong management accounting and month-end ownership experience Demonstrable experience using AI tools or automation to improve finance processes (or clear, practical curiosity and experimentation in this space) Strong stakeholder management skills with the ability to influence non-finance teams Experience mentoring or managing junior team members Comfortable working in a fast-paced, change-oriented environment where processes are being actively rebuilt Experience working in a fast-growth Tech / PE backed business is desirable This is a rare opportunity to step into a role where traditional finance ownership meets genuine transformation. You will be joining a forward-thinking, entrepreneurial environment where AI is not an add-on, but a core part of how the finance function will operate going forward.
Jul 06, 2026
Contractor
Finance Manager (AI focus) PE backed Consumer Tech business London (Hybrid - 2 days per week) 12-month FTC This is an opportunity for a qualified Finance Manager to join a high-growth, PE-backed digital consumer business on a 12-month fixed-term contract. The business has delivered strong, sustained performance over the last three years, with EBITDA running approximately 20% ahead of budget and continued double-digit growth driven by its leading position in the UK consumer market. The business is heavily investing in AI, automation and agent-based workflows, you will be responsible for identifying, building and embedding AI-driven solutions that materially reduce manual effort and reshape how the team operates. Reporting to the Financial Controller, you will also take ownership of the full management accounting and month-end reporting cycle for one brand. Key responsibilities: Own the end-to-end month-end close, delivering accurate, timely and insight-led management accounts for one brand Use Claude and other AI tools to design, build and implement AI-driven workflows that automate elements of the close cycle (e.g. reconciliations, accruals, reporting packs) Develop and refine "agentic" finance processes using Claude and complementary automation tools to reduce manual intervention across month-end, cash flow and reporting Identify and execute automation opportunities using Claude, AI platforms and workflow tools in combination with existing finance systems and data sources Manage and develop one part qualified accountant Act as a key driver of the broader finance AI transformation agenda within the group What we're looking for: ACA, ACCA or CIMA qualified with strong management accounting and month-end ownership experience Demonstrable experience using AI tools or automation to improve finance processes (or clear, practical curiosity and experimentation in this space) Strong stakeholder management skills with the ability to influence non-finance teams Experience mentoring or managing junior team members Comfortable working in a fast-paced, change-oriented environment where processes are being actively rebuilt Experience working in a fast-growth Tech / PE backed business is desirable This is a rare opportunity to step into a role where traditional finance ownership meets genuine transformation. You will be joining a forward-thinking, entrepreneurial environment where AI is not an add-on, but a core part of how the finance function will operate going forward.
Data & AI Strategy Consultant / Architect - AI Transformation (GenAI & Agentic AI) Are you ready to shape the future of AI-driven enterprise transformation? We are working with a leading global consultancy at the forefront of AI innovation, helping organisations redesign how they operate, compete, and create value through Generative AI, agentic systems, and intelligent data platforms click apply for full job details
Jul 06, 2026
Full time
Data & AI Strategy Consultant / Architect - AI Transformation (GenAI & Agentic AI) Are you ready to shape the future of AI-driven enterprise transformation? We are working with a leading global consultancy at the forefront of AI innovation, helping organisations redesign how they operate, compete, and create value through Generative AI, agentic systems, and intelligent data platforms click apply for full job details
About Our Client Our client is an innovative AI-powered brand analytics platform that helps businesses understand their brand perception, competitive landscape, and market positioning through advanced AI-driven analysis. They leverage multiple Large Language Models to deliver actionable insights that enable brands to optimize their visibility and competitive positioning in the market. The platform runs a production multi-agent system on AWS, orchestrating multiple AI providers across signal generation, content, and research workflows, and is exposed to clients through their own MCP server. What We're Looking For We are seeking an AI Engineer to help shape the technical direction of the AI platform. You will design and evolve the agentic systems that power this solution - multi-agent orchestration, LLM pipelines, evals, and the cloud infrastructure that runs them. You should be hands-on, opinionated about how AI systems should be built, and excited to set the bar for an engineering team that ships AI features fast and safely. We value engineers who actively use AI agents and automation tools in their own workflows and stay current with the field as it moves. Key Responsibilities 1. Agentic AI Systems Design, build, and evolve multi-agent systems and LLM-powered pipelines. You will: Design agent topologies - planner/executor, supervisor/worker, reflection loops, human-in-the-loop Build and extend agents using frameworks like LangGraph, Strands, and Agent SDKs Evolve the agent harness - execution loop, tool dispatch, context management, sub-agent spawning, and sandboxing Design agent memory, context management, and tool-calling patterns Extend the MCP server with new tools and capabilities Enforce structured outputs and validation across LLM boundaries 2. LLM Quality, Evals & Observability Build the layer that lets the team ship LLM features with confidence. You will: Design and grow the eval platform - golden datasets, regression suites, LLM-as-judge Integrate observability and tracing across providers and prompt versions Track cost, latency, and quality per prompt, model, and client Build guardrails for prompt injection, PII, and output safety Drive prompt engineering practice - versioning, A/B testing, platform overlays 3. Cloud & Data Infrastructure Own the cloud substrate that runs the AI workloads. You will: Architect and maintain AWS infrastructure (ECS Fargate, Lambda, Step Functions, EventBridge, S3, Athena, DynamoDB, Bedrock) Build and operate data pipelines that move LLM outputs from generation to analytics Manage containerized deployments, CI/CD, and infrastructure as code Ensure reliability, observability, and cost efficiency across the platform 4. Security, Compliance & AI Safety Implement IAM, encryption, and network security best practices Manage secrets and audit logging Enforce multi-tenant isolation across agents, prompts, and data Defend against prompt injection, jailbreaks, and PII leakage 5. Technical Leadership Set technical direction for the AI platform and drive architecture decisions Make build-vs-buy calls on frameworks, providers, and tooling Mentor engineers and raise the bar on prompts, evals, and agent design Collaborate with product to translate business goals into AI system architecture What Makes This Role Unique You will work on a production multi-agent platform with real scale and real users - multi-specialist agent systems, LLM pipelines, and a multi-provider stack running on AWS. The interesting problems are not bootstrapping; they are deciding what good looks like and building the systems that get you there.
Jul 05, 2026
Full time
About Our Client Our client is an innovative AI-powered brand analytics platform that helps businesses understand their brand perception, competitive landscape, and market positioning through advanced AI-driven analysis. They leverage multiple Large Language Models to deliver actionable insights that enable brands to optimize their visibility and competitive positioning in the market. The platform runs a production multi-agent system on AWS, orchestrating multiple AI providers across signal generation, content, and research workflows, and is exposed to clients through their own MCP server. What We're Looking For We are seeking an AI Engineer to help shape the technical direction of the AI platform. You will design and evolve the agentic systems that power this solution - multi-agent orchestration, LLM pipelines, evals, and the cloud infrastructure that runs them. You should be hands-on, opinionated about how AI systems should be built, and excited to set the bar for an engineering team that ships AI features fast and safely. We value engineers who actively use AI agents and automation tools in their own workflows and stay current with the field as it moves. Key Responsibilities 1. Agentic AI Systems Design, build, and evolve multi-agent systems and LLM-powered pipelines. You will: Design agent topologies - planner/executor, supervisor/worker, reflection loops, human-in-the-loop Build and extend agents using frameworks like LangGraph, Strands, and Agent SDKs Evolve the agent harness - execution loop, tool dispatch, context management, sub-agent spawning, and sandboxing Design agent memory, context management, and tool-calling patterns Extend the MCP server with new tools and capabilities Enforce structured outputs and validation across LLM boundaries 2. LLM Quality, Evals & Observability Build the layer that lets the team ship LLM features with confidence. You will: Design and grow the eval platform - golden datasets, regression suites, LLM-as-judge Integrate observability and tracing across providers and prompt versions Track cost, latency, and quality per prompt, model, and client Build guardrails for prompt injection, PII, and output safety Drive prompt engineering practice - versioning, A/B testing, platform overlays 3. Cloud & Data Infrastructure Own the cloud substrate that runs the AI workloads. You will: Architect and maintain AWS infrastructure (ECS Fargate, Lambda, Step Functions, EventBridge, S3, Athena, DynamoDB, Bedrock) Build and operate data pipelines that move LLM outputs from generation to analytics Manage containerized deployments, CI/CD, and infrastructure as code Ensure reliability, observability, and cost efficiency across the platform 4. Security, Compliance & AI Safety Implement IAM, encryption, and network security best practices Manage secrets and audit logging Enforce multi-tenant isolation across agents, prompts, and data Defend against prompt injection, jailbreaks, and PII leakage 5. Technical Leadership Set technical direction for the AI platform and drive architecture decisions Make build-vs-buy calls on frameworks, providers, and tooling Mentor engineers and raise the bar on prompts, evals, and agent design Collaborate with product to translate business goals into AI system architecture What Makes This Role Unique You will work on a production multi-agent platform with real scale and real users - multi-specialist agent systems, LLM pipelines, and a multi-provider stack running on AWS. The interesting problems are not bootstrapping; they are deciding what good looks like and building the systems that get you there.
