Role: ML Lead Type: 12 Months Contract Location: London, UK Working Model: Hybrid (2 days per week in office) Payrate: (Apply online only) GBP/day on Inside IR35 on Umbrella The Role: We are seeking an ML Lead to manage our team and spearhead the design and deployment of cutting-edge Agentic Systems and LLM applications. Key Responsibilities: Team Leadership: Manage the ML team and collaborate with data scientists, software engineers, and business stakeholders. LLM & Agent Development: Build autonomous AI agents, implement Retrieval-Augmented Generation (RAG) pipelines, and fine-tune LLMs using PEFT techniques like LoRA. Data Engineering: Design and maintain robust ETL/ELT pipelines to process structured and unstructured data. MLOps & Infrastructure: Automate CI/CD pipelines, manage cloud/container infrastructure (Docker, Kubernetes), and oversee secure model deployment and performance monitoring. Responsible AI: Build trustworthy AI systems with quantifiable metrics for fairness, explainability, and compliance. This is an urgent vacancy with a deadline where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it praveen. Com Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Apr 30, 2026
Contractor
Role: ML Lead Type: 12 Months Contract Location: London, UK Working Model: Hybrid (2 days per week in office) Payrate: (Apply online only) GBP/day on Inside IR35 on Umbrella The Role: We are seeking an ML Lead to manage our team and spearhead the design and deployment of cutting-edge Agentic Systems and LLM applications. Key Responsibilities: Team Leadership: Manage the ML team and collaborate with data scientists, software engineers, and business stakeholders. LLM & Agent Development: Build autonomous AI agents, implement Retrieval-Augmented Generation (RAG) pipelines, and fine-tune LLMs using PEFT techniques like LoRA. Data Engineering: Design and maintain robust ETL/ELT pipelines to process structured and unstructured data. MLOps & Infrastructure: Automate CI/CD pipelines, manage cloud/container infrastructure (Docker, Kubernetes), and oversee secure model deployment and performance monitoring. Responsible AI: Build trustworthy AI systems with quantifiable metrics for fairness, explainability, and compliance. This is an urgent vacancy with a deadline where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it praveen. Com Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Salary: Competitive depending on experience Location: 2-3 days on-site at our Harwell office with travel to client site when required Contract type: Full-timepermanent - 37.5 hours A note from the Founders Oxford Dynamics is at an inflection point. We operate in some of the most complex and high stakes environments in the world - defence, national security, AI and robotics. The decisions we make now will define not just how fast we grow, but who we become. You will work closely with all the team. You will be trusted with judgment calls. You will influence the business. And you will see the impact of your work every day in the work we do. If you are excited by ownership, pace and purpose - and by building something that genuinely matters - we would love to hear from you. Who We Are Founded in 2020, Oxford Dynamics (OD) is a fast growing UK deep tech company developing AI and robotic systems designed to operate in mission critical environments. Our flagship AVIS (A Very Intelligent System) AI framework fuses multi modal data - text, imagery, telemetry and sensor feeds - enabling operators to interrogate complex information at speed and make better decisions under pressure. Our STRIDER robotic platform performs autonomous tasks in hazardous environments, protecting people while extending operational reach. Our ambition is simple but demanding: to converge AI and robotics so machines can sense, understand and act in complex, real world environments. We work with defence and security organisations internationally to help protect nations, infrastructure and lives. What you will be doing here/ why this role matters Oxford Dynamics is a small team who rely on a collaborative and positive approach and so the right attitude for this role is equally as important as experience. We are at an important stage and time in our growth, and as aSenior AI Generative Robotics Engineer you will be an essential part of our success. You'll work at thecutting edge of agentic and generative AI, building systems that move beyond lab demos and intoreal world deployment at pace. At Oxford Dynamics, you'll have the freedom to experiment in a fast moving environment, the responsibility to deliver, and the opportunity to shape howmulti agent AI systems operate in complex, constrained, and high trust environments. If you're excited byagent orchestration, VLLMs, and deploying AI where it matters, this role is built for you! Role Summary We're hiring a Test & AI Evaluation Lead to own how Oxford Dynamics validates its AI driven, mission critical systems - from multi agent orchestration and LLM outputs through to cloud infrastructure and real time user facing applications. You'll design and lead test approaches where correctness, resilience, and security matter as much as feature velocity. Working embedded with AI, Backend, Frontend, and DevOps, you'll shape how we validate agent behaviours, data pipelines, and end to end operational workflows - from research prototypes through to production deployments for Defence and Security customers. Quality is built in from day one, not inspected at the end. Key Responsibilities Define and own the end to end test strategy across AI, backend, frontend, and infrastructure layers. Establish testing standards appropriate for agentic AI systems, including non deterministic behaviour and probabilistic outputs. Ensure testing aligns with mission critical, safety conscious, and security first delivery expectations. Act as the primary quality authority across projects, advising engineering and product leadership on risk and readiness. AI & Data Focused Testing Design approaches for testing multi agent workflows, including orchestration logic, memory/state handling, and tool integrations. Define validation strategies for LLM outputs, including groundedness, hallucination detection, task success rates, and regression testing. Work with AI Engineers to embed evaluation metrics and pass/fail thresholds into pipelines. Validate data ingestion, transformation, and inference pipelines across structured and unstructured data sources. Automation & Tooling Drive a test automation first mindset, integrating tests into CI/CD pipelines (GitHub Actions, Argo CD). Oversee automated testing across API and service layers, UI (E2E and accessibility), and infrastructure and deployment workflows. Select, implement, and evolve testing tools and frameworks appropriate to modern cloud native and AI systems. Non Functional Testing Own performance, scalability, reliability, and resilience testing for distributed systems. Coordinate security testing activities in line with secure by design principles (e.g. IAM, secrets handling, data boundaries). Validate backup, disaster recovery, and failover scenarios alongside DevOps and Backend teams. Delivery & Collaboration Embed with delivery teams to ensure testing is planned early and executed continuously. Work closely with Product and Engineering to define clear acceptance criteria and definition of done. Provide clear, decision ready quality reporting to technical and non technical stakeholders. Support customer facing demonstrations, trials, and operational readiness assessments. Required Skills & Experience Proven experience as a Test Manager, Senior Test Lead, or equivalent on complex software systems. Strong track record of taking applications into production in regulated environments. Strong background in automated testing across APIs, services, and UIs, integrated into CI/CD pipelines. Experience testing distributed, cloud native systems (AWS, GCP, or Kubernetes), including performance, reliability, and resilience. Awareness of compliance frameworks (e.g. ISO 27001, NIST, OWASP). ISTQB Advanced / Test Manager certification or equivalent practical experience. SC Clearance or eligibility to obtain UK SC Clearance. Preferred Experience Experience in UK defence, public sector, or security environments. Experience testing AI/ML/LLM based systems, including non deterministic outputs. Exposure to agent based or workflow driven architectures. Soft Skills A pragmatic, delivery focused mindset - able to balance speed with rigour. Comfortable operating in fast moving, ambiguous, R&D heavy environments. Confidence challenging assumptions and raising quality risks early. Strong written and verbal communication, especially around complex technical risk. Why Oxford Dynamics? Join the most exciting growth area in the UK: AI and Robotics! Every member of the Oxford Dynamics team has a major impact on the products and services we provide. Regardless of job title you'll get to make a real difference and learn from colleagues about all areas of our business. Benefits Salary: negotiable based on experience and attitudes Rapid career progression with meaningful ownership of core systems Opportunity to shape the future of a fast growing, successful, early stage business Flexible working hours Hybrid working model Company pension (UK Government NEST scheme) with company contributions at 4% Private Healthcare 29 days holiday in addition to public holidays (Full Time Equivalent) Oxford Dynamics is committed to creating an inclusive team experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or parental status, we believe our work is at its best when everyone feels free to be their authentic self. Why This Role? You'll play a critical shaping role in how Oxford Dynamics delivers trustworthy, production ready AI systems into some of the most demanding operational environments there are. If you enjoy working close to the technology, influencing how systems are built - not just tested - and tackling the realities of validating AI driven software, this role gives you genuine ownership and impact.
Apr 30, 2026
Full time
Salary: Competitive depending on experience Location: 2-3 days on-site at our Harwell office with travel to client site when required Contract type: Full-timepermanent - 37.5 hours A note from the Founders Oxford Dynamics is at an inflection point. We operate in some of the most complex and high stakes environments in the world - defence, national security, AI and robotics. The decisions we make now will define not just how fast we grow, but who we become. You will work closely with all the team. You will be trusted with judgment calls. You will influence the business. And you will see the impact of your work every day in the work we do. If you are excited by ownership, pace and purpose - and by building something that genuinely matters - we would love to hear from you. Who We Are Founded in 2020, Oxford Dynamics (OD) is a fast growing UK deep tech company developing AI and robotic systems designed to operate in mission critical environments. Our flagship AVIS (A Very Intelligent System) AI framework fuses multi modal data - text, imagery, telemetry and sensor feeds - enabling operators to interrogate complex information at speed and make better decisions under pressure. Our STRIDER robotic platform performs autonomous tasks in hazardous environments, protecting people while extending operational reach. Our ambition is simple but demanding: to converge AI and robotics so machines can sense, understand and act in complex, real world environments. We work with defence and security organisations internationally to help protect nations, infrastructure and lives. What you will be doing here/ why this role matters Oxford Dynamics is a small team who rely on a collaborative and positive approach and so the right attitude for this role is equally as important as experience. We are at an important stage and time in our growth, and as aSenior AI Generative Robotics Engineer you will be an essential part of our success. You'll work at thecutting edge of agentic and generative AI, building systems that move beyond lab demos and intoreal world deployment at pace. At Oxford Dynamics, you'll have the freedom to experiment in a fast moving environment, the responsibility to deliver, and the opportunity to shape howmulti agent AI systems operate in complex, constrained, and high trust environments. If you're excited byagent orchestration, VLLMs, and deploying AI where it matters, this role is built for you! Role Summary We're hiring a Test & AI Evaluation Lead to own how Oxford Dynamics validates its AI driven, mission critical systems - from multi agent orchestration and LLM outputs through to cloud infrastructure and real time user facing applications. You'll design and lead test approaches where correctness, resilience, and security matter as much as feature velocity. Working embedded with AI, Backend, Frontend, and DevOps, you'll shape how we validate agent behaviours, data pipelines, and end to end operational workflows - from research prototypes through to production deployments for Defence and Security customers. Quality is built in from day one, not inspected at the end. Key Responsibilities Define and own the end to end test strategy across AI, backend, frontend, and infrastructure layers. Establish testing standards appropriate for agentic AI systems, including non deterministic behaviour and probabilistic outputs. Ensure testing aligns with mission critical, safety conscious, and security first delivery expectations. Act as the primary quality authority across projects, advising engineering and product leadership on risk and readiness. AI & Data Focused Testing Design approaches for testing multi agent workflows, including orchestration logic, memory/state handling, and tool integrations. Define validation strategies for LLM outputs, including groundedness, hallucination detection, task success rates, and regression testing. Work with AI Engineers to embed evaluation metrics and pass/fail thresholds into pipelines. Validate data ingestion, transformation, and inference pipelines across structured and unstructured data sources. Automation & Tooling Drive a test automation first mindset, integrating tests into CI/CD pipelines (GitHub Actions, Argo CD). Oversee automated testing across API and service layers, UI (E2E and accessibility), and infrastructure and deployment workflows. Select, implement, and evolve testing tools and frameworks appropriate to modern cloud native and AI systems. Non Functional Testing Own performance, scalability, reliability, and resilience testing for distributed systems. Coordinate security testing activities in line with secure by design principles (e.g. IAM, secrets handling, data boundaries). Validate backup, disaster recovery, and failover scenarios alongside DevOps and Backend teams. Delivery & Collaboration Embed with delivery teams to ensure testing is planned early and executed continuously. Work closely with Product and Engineering to define clear acceptance criteria and definition of done. Provide clear, decision ready quality reporting to technical and non technical stakeholders. Support customer facing demonstrations, trials, and operational readiness assessments. Required Skills & Experience Proven experience as a Test Manager, Senior Test Lead, or equivalent on complex software systems. Strong track record of taking applications into production in regulated environments. Strong background in automated testing across APIs, services, and UIs, integrated into CI/CD pipelines. Experience testing distributed, cloud native systems (AWS, GCP, or Kubernetes), including performance, reliability, and resilience. Awareness of compliance frameworks (e.g. ISO 27001, NIST, OWASP). ISTQB Advanced / Test Manager certification or equivalent practical experience. SC Clearance or eligibility to obtain UK SC Clearance. Preferred Experience Experience in UK defence, public sector, or security environments. Experience testing AI/ML/LLM based systems, including non deterministic outputs. Exposure to agent based or workflow driven architectures. Soft Skills A pragmatic, delivery focused mindset - able to balance speed with rigour. Comfortable operating in fast moving, ambiguous, R&D heavy environments. Confidence challenging assumptions and raising quality risks early. Strong written and verbal communication, especially around complex technical risk. Why Oxford Dynamics? Join the most exciting growth area in the UK: AI and Robotics! Every member of the Oxford Dynamics team has a major impact on the products and services we provide. Regardless of job title you'll get to make a real difference and learn from colleagues about all areas of our business. Benefits Salary: negotiable based on experience and attitudes Rapid career progression with meaningful ownership of core systems Opportunity to shape the future of a fast growing, successful, early stage business Flexible working hours Hybrid working model Company pension (UK Government NEST scheme) with company contributions at 4% Private Healthcare 29 days holiday in addition to public holidays (Full Time Equivalent) Oxford Dynamics is committed to creating an inclusive team experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or parental status, we believe our work is at its best when everyone feels free to be their authentic self. Why This Role? You'll play a critical shaping role in how Oxford Dynamics delivers trustworthy, production ready AI systems into some of the most demanding operational environments there are. If you enjoy working close to the technology, influencing how systems are built - not just tested - and tackling the realities of validating AI driven software, this role gives you genuine ownership and impact.
Let's be Stoxx is seeking a Principal Software Engineer to bring expert-level technical leadership to the development and deployment of our financial data distribution platform. We are in the process of a fully re-architecting our distribution ecosystem to a modern componentised set of solutions using GCP technologies. In this IC role, you will collaborate with Software Product Management to establish direction and refine requirements and within the Engineering team to design, build, prove and migrate to the new stack.You'll be passionate about delivery of incremental value. You have experience defining and leveraging Generative SDLC approaches to rapidly turn complex requirements and designs into capable solutions. You'll be able to demonstrate comfort and success in a matrixed organisation where reporting lines do not always dictate technical direction - in a culture where the global Data Engineering functions collaborate to achieve shared success. You will collaborate with cross-functional peers and stakeholders to share best practice and knowledge and drive continuous improvement initiatives.You'll be a humble expert, willing and able to meet people at their level and both help them and learn from them. You'll lead by example, using data and proof-of-concepts to bring people along and make them successful. You'll own deliverables as well as co-developing solutions with your peers and colleagues, to help others develop.Success in this role means you successfully navigate the line between personal and team value delivery - you embody beliefs and practices that helping your peers and colleagues grow and deliver their best, improves and reflects back on you too. Responsibilities Technical architect - Co-own our data distribution architecture and its evolution with peer Principal Data Engineers Generously share your experience to help your peers develop and grow Interpret product needs, requirements and enterprise policies into project requirements Be hands on, do what you expect others to do Help delivery teams implement your project requirements, focusing on automation and maximising reuse, quality and value Advocate for our architecture and solutions, demonstrating technical principles and business value and constantly seek feedback Assist with recruiting activities Keep abreast of emerging trends and technologies in cloud data distribution and operation, to form and disseminate new insights Requirements 10+ years experience, with at least 5 in senior data engineering roles, with focus on data distribution in the cloud Experience as a technical thought leader Experience coaching and mentoring high-performing teams Experience leading the development and deployment of large-scale, complex data pipelines Experience using and getting the best out of generative AI approaches API first mindset Design and delivery of decomposed batch preparation and real-time API pipelines Experience of user-entitlement management Experience of cloud development, the benefits and challenges Design and completion of complex migration projects, from technical and process/systems perspectives Experience of GCP products across database, serverless, containerization and API Pragmatic experience using agile to deliver incremental value Experience working in a global or multinational team setting Strong communication and collaboration skills Focus on simplicity, automation and observability Bachelor's or master's degree in computer science or related field Expertise in Python, Golang, SQL, Apigee Desirable Experience building and integrating agentic RAG solutions into data pipelines Experience with data cataloguing capabilities Domain knowledge of financial market data and financial index data models and feeds What You Can Expect from Us At ISS STOXX, our people are our driving force. We are committed to building a culture that values diverse skills, perspectives, and experiences. We hire the best talent in our industry and empower them with the resources, support, and opportunities to grow-professionally and personally. Together, we foster an environment that fuels creativity, drives innovation, and shapes our future success. Let's empower, collaborate, and inspire. Let's be . About ISS STOXX ISS STOXX GmbH is a leading provider of research and technology solutions for the financial market. Established in 1985, we offer top-notch benchmark and custom indices globally, helping clients identify investment opportunities and manage portfolio risks. Our services cover corporate governance, sustainability, cyber risk, and fund intelligence. Majority-owned by Deutsche Börse Group, ISS STOXX has over 3,400 professionals in 33 locations worldwide, serving around 6,400 clients, including institutional investors and companies focused on ESG, cyber, and governance risk. Clients trust our expertise to make informed decisions for their stakeholders' benefit. STOXX(R) and DAX(R) indices comprise a global and comprehensive family of more than 17,000 strictly rules-based and transparent indices. Best known for the leading European equity indices EURO STOXX 50(R), STOXX(R) Europe 600 and DAX(R), the portfolio of index solutions consists of total market, benchmark, blue-chip, sustainability, thematic and factor-based indices covering a complete set of world, regional and country markets. STOXX and DAX indices are licensed to more than 550 companies around the world for benchmarking purposes and as underlyings for ETFs, futures and options, structured products, and passively managed investment funds. STOXX Ltd., part of the ISS STOXX group of companies, is the administrator of the STOXX and DAX indices under the European Benchmark Regulation. Visit our website: View additional open roles: Institutional Shareholder Services ("ISS") is committed to fostering, cultivating, and preserving a culture of diversity and inclusion. It is our policy to prohibit discrimination or harassment against any applicant or employee on the basis of race, color, ethnicity, creed, religion, sex, age, height, weight, citizenship status, national origin, social origin, sexual orientation, gender identity or gender expression, pregnancy status, marital status, familial status, mental or physical disability, veteran status, military service or status, genetic information, or any other characteristic protected by law (referred to as "protected status"). All activities including, but not limited to, recruiting and hiring, recruitment advertising, promotions, performance appraisals, training, job assignments, compensation, demotions, transfers, terminations (including layoffs), benefits, and other terms, conditions, and privileges of employment, are and will be administered on a non-discriminatory basis, consistent with all applicable federal, state, and local requirements. Let's empower, collaborate, and inspire one another. Let's be !ISS STOXX GmbH, through its group companies, is a leading provider of comprehensive and data-centric research and technology solutions that help capital market participants identify investment opportunities, detect qualitative and quantitative portfolio company risks, and meet evolving regulatory requirements. With roots dating back to 1985, we today deliver world-class benchmark and custom indices across asset classes and geographies and serve as a premier source of independent corporate governance, sustainability, cyber risk, and fund intelligence research, data, and related offerings. Our products and services give clients the scale and leverage they need to grow their business more effectively and efficiently. ISS STOXX, which is majority owned by Deutsche Börse Group, is comprised of more than 3,400 professionals operating across 33 global locations in 19 countries. Its approximately
Apr 30, 2026
Full time
Let's be Stoxx is seeking a Principal Software Engineer to bring expert-level technical leadership to the development and deployment of our financial data distribution platform. We are in the process of a fully re-architecting our distribution ecosystem to a modern componentised set of solutions using GCP technologies. In this IC role, you will collaborate with Software Product Management to establish direction and refine requirements and within the Engineering team to design, build, prove and migrate to the new stack.You'll be passionate about delivery of incremental value. You have experience defining and leveraging Generative SDLC approaches to rapidly turn complex requirements and designs into capable solutions. You'll be able to demonstrate comfort and success in a matrixed organisation where reporting lines do not always dictate technical direction - in a culture where the global Data Engineering functions collaborate to achieve shared success. You will collaborate with cross-functional peers and stakeholders to share best practice and knowledge and drive continuous improvement initiatives.You'll be a humble expert, willing and able to meet people at their level and both help them and learn from them. You'll lead by example, using data and proof-of-concepts to bring people along and make them successful. You'll own deliverables as well as co-developing solutions with your peers and colleagues, to help others develop.Success in this role means you successfully navigate the line between personal and team value delivery - you embody beliefs and practices that helping your peers and colleagues grow and deliver their best, improves and reflects back on you too. Responsibilities Technical architect - Co-own our data distribution architecture and its evolution with peer Principal Data Engineers Generously share your experience to help your peers develop and grow Interpret product needs, requirements and enterprise policies into project requirements Be hands on, do what you expect others to do Help delivery teams implement your project requirements, focusing on automation and maximising reuse, quality and value Advocate for our architecture and solutions, demonstrating technical principles and business value and constantly seek feedback Assist with recruiting activities Keep abreast of emerging trends and technologies in cloud data distribution and operation, to form and disseminate new insights Requirements 10+ years experience, with at least 5 in senior data engineering roles, with focus on data distribution in the cloud Experience as a technical thought leader Experience coaching and mentoring high-performing teams Experience leading the development and deployment of large-scale, complex data pipelines Experience using and getting the best out of generative AI approaches API first mindset Design and delivery of decomposed batch preparation and real-time API pipelines Experience of user-entitlement management Experience of cloud development, the benefits and challenges Design and completion of complex migration projects, from technical and process/systems perspectives Experience of GCP products across database, serverless, containerization and API Pragmatic experience using agile to deliver incremental value Experience working in a global or multinational team setting Strong communication and collaboration skills Focus on simplicity, automation and observability Bachelor's or master's degree in computer science or related field Expertise in Python, Golang, SQL, Apigee Desirable Experience building and integrating agentic RAG solutions into data pipelines Experience with data cataloguing capabilities Domain knowledge of financial market data and financial index data models and feeds What You Can Expect from Us At ISS STOXX, our people are our driving force. We are committed to building a culture that values diverse skills, perspectives, and experiences. We hire the best talent in our industry and empower them with the resources, support, and opportunities to grow-professionally and personally. Together, we foster an environment that fuels creativity, drives innovation, and shapes our future success. Let's empower, collaborate, and inspire. Let's be . About ISS STOXX ISS STOXX GmbH is a leading provider of research and technology solutions for the financial market. Established in 1985, we offer top-notch benchmark and custom indices globally, helping clients identify investment opportunities and manage portfolio risks. Our services cover corporate governance, sustainability, cyber risk, and fund intelligence. Majority-owned by Deutsche Börse Group, ISS STOXX has over 3,400 professionals in 33 locations worldwide, serving around 6,400 clients, including institutional investors and companies focused on ESG, cyber, and governance risk. Clients trust our expertise to make informed decisions for their stakeholders' benefit. STOXX(R) and DAX(R) indices comprise a global and comprehensive family of more than 17,000 strictly rules-based and transparent indices. Best known for the leading European equity indices EURO STOXX 50(R), STOXX(R) Europe 600 and DAX(R), the portfolio of index solutions consists of total market, benchmark, blue-chip, sustainability, thematic and factor-based indices covering a complete set of world, regional and country markets. STOXX and DAX indices are licensed to more than 550 companies around the world for benchmarking purposes and as underlyings for ETFs, futures and options, structured products, and passively managed investment funds. STOXX Ltd., part of the ISS STOXX group of companies, is the administrator of the STOXX and DAX indices under the European Benchmark Regulation. Visit our website: View additional open roles: Institutional Shareholder Services ("ISS") is committed to fostering, cultivating, and preserving a culture of diversity and inclusion. It is our policy to prohibit discrimination or harassment against any applicant or employee on the basis of race, color, ethnicity, creed, religion, sex, age, height, weight, citizenship status, national origin, social origin, sexual orientation, gender identity or gender expression, pregnancy status, marital status, familial status, mental or physical disability, veteran status, military service or status, genetic information, or any other characteristic protected by law (referred to as "protected status"). All activities including, but not limited to, recruiting and hiring, recruitment advertising, promotions, performance appraisals, training, job assignments, compensation, demotions, transfers, terminations (including layoffs), benefits, and other terms, conditions, and privileges of employment, are and will be administered on a non-discriminatory basis, consistent with all applicable federal, state, and local requirements. Let's empower, collaborate, and inspire one another. Let's be !ISS STOXX GmbH, through its group companies, is a leading provider of comprehensive and data-centric research and technology solutions that help capital market participants identify investment opportunities, detect qualitative and quantitative portfolio company risks, and meet evolving regulatory requirements. With roots dating back to 1985, we today deliver world-class benchmark and custom indices across asset classes and geographies and serve as a premier source of independent corporate governance, sustainability, cyber risk, and fund intelligence research, data, and related offerings. Our products and services give clients the scale and leverage they need to grow their business more effectively and efficiently. ISS STOXX, which is majority owned by Deutsche Börse Group, is comprised of more than 3,400 professionals operating across 33 global locations in 19 countries. Its approximately
About hyperexponential (hx) At hyperexponential, we're building the AI-powered platform that enables the world's most critical decisions in a $7 trillion industry, which risks to take, and how to price them. These are the decisions that shape real-world outcomes: whether rockets successfully launch into space, autonomous vehicles make it to market, or communities recover after major storms. Until now, insurance has been making billion-dollar decisions using outdated tools. We're changing that. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision - helping them move faster, act smarter, and take on more risk with confidence. Backed by a16z, Highland Europe, and Battery Ventures, we're scaling globally - already trusted by nearly 50 of the world's largest insurers, with zero churn and billions in premiums flowing through hx. What began as a single product in one market has rapidly evolved into a multi-product, multi-territory platform powering every stage of pricing and underwriting. AI is at the core of what we do - from building the world's first domain-specific AI peer programmer for insurance (think GitHub Copilot with a PhD in actuarial science) to shaping agentic workflows that reinvent how this industry operates. What makes hx different is the people who build it. Here, impact isn't tied to title or tenure; it's defined by the challenges you take on and the discipline you bring. Surrounded by peers who stretch you, you'll do the best, hardest work of your life in a company engineered to endure. If that sounds like you, join us in building what comes next. About the Analytics team Engineering at hx drives every breakthrough that transforms how insurers make billion-dollar decisions. Our Analytics team sits at the cutting edge of this mission, building the data systems that unlock the full value of complex insurance datasets. We're turning raw portfolio data into actionable insights that help underwriters and actuaries make smarter, faster decisions on risks worth billions. As a Senior Backend Engineer in the Analytics team, you'll architect and build the foundational data systems that power next-generation insurance analytics. This is greenfield territory - you'll be designing distributed data solutions from the ground up, creating scalable ingestion pipelines, and building the infrastructure that turns complex insurance data into competitive advantage for our customers. You'll work at the intersection of complex engineering challenges and real business impact, collaborating with sharp product and UX minds to create data-driven experiences that fundamentally change how insurers understand and optimise their risk portfolios. If you love solving hard technical problems while seeing direct customer impact, this is where you'll thrive. What You'll Be Doing Build scalable data systems in Kotlin that enable insurers to ingest, process, and explore complex datasets, turning months of manual analysis into real-time insights that drive billion-dollar risk decisions. Design distributed analytics infrastructure on AWS using Terraform, creating robust, cloud native systems that handle enterprise scale data volumes while maintaining reliability and performance. Deliver customer facing analytics features that transform how users understand and optimise risk modelling, building intuitive interfaces for complex portfolio analytics that were previously impossible. Drive technical innovation in data architecture, piloting emerging technologies and AI/ML approaches that continuously improve the analytics experience and unlock new capabilities for customers. Collaborate across disciplines with Product, UX, and Engineering teams to translate complex business requirements into elegant technical solutions that balance powerful functionality with usability. Elevate system quality through robust architecture decisions, comprehensive testing, and clear documentation that makes complex data systems maintainable and scalable as the team grows. What You'll Need to Have Done Built production backend systems with proven experience as a polyglot engineer, ideally with strong Kotlin skills and the ability to work effectively across multiple languages and tech stacks. Delivered scalable cloud infrastructure using AWS and infrastructure as code tools like Terraform, with hands on experience building distributed systems that handle real world data volumes. Developed data warehousing solutions with hands on experience building ETL pipelines, data modelling, and orchestration workflows using modern tools (e.g., dbt, Airflow, Spark), demonstrating the ability to transform raw data into reliable, performant analytics infrastructure that supports business decision making at scale. Collaborated effectively across teams to deliver features that customers actually use, with evidence of translating business requirements into technical solutions that drive measurable impact. Maintained high code quality standards with a commitment to clean, well documented, maintainable systems and the discipline to build infrastructure that scales with business growth. Demonstrated curiosity about emerging technologies, particularly around data processing, analytics platforms, and AI/ML tools that can enhance developer productivity and unlock new customer value. You're Unlikely To Thrive Here If You prefer working with well established data systems rather than building foundational analytics infrastructure from scratch in a rapidly evolving environment. You're more comfortable focusing on purely technical challenges than understanding the business context and customer impact of the data systems you're building. You're not excited by the complexity that comes with distributed data processing, enterprise scale systems, and the technical depth required for analytics platforms. Reading our Culture Document leaves you feeling neutral rather than energised, hx may not be the place where you'll do your best work. We're building something that asks for commitment and conviction, and we want you to feel excited by the opportunity to grow with us. Compensation At hx, we're committed to salary transparency. You'll always have clarity on pay early in the process - our Talent Partner will share details with you during initial conversations - and we're working towards publishing salary information for all roles globally. Because we're building at the intersection of technology/SaaS and insurance, our roles don't always map neatly onto traditional benchmarks. Our approach is to design compensation that's competitive in the market, fair across teams, and aligned with the impact our people make. Equity: We offer equity across all roles at hx, making it a significant component of total compensation. Your talent partner will be able to share more details about this. Benefits £5,000 training and conference budget for individual and group development. 25 days of holiday plus 8 bank holidays (33 days total). Company pension scheme via Penfold. Mental health support and therapy via Spectrum.life. Individual wellbeing allowance via Juno. Private healthcare insurance through AXA. Income protection and Life Insurance. Cycle to Work Scheme Additional Perks Top-spec equipment (laptop, screens, adjustable desks, etc.). Regular remote and in person hackathons, lunch and learns, socials, and game nights. Team breakfasts and lunches, snacks, drinks fridge, and a fun office at The Ministry. Exceptional opportunities for personal development and growth as we build something remarkable together. Interview Process Initial call with our Talent team to kick things off (30 minutes) Manager Interview (60 minutes) Technical Interview - Code Review & AI Pairing (120 minutes) Values Interview (60 minutes) We offer! Our Commitment to Diversity hxer's are at the centre of everything we build. We know that progress depends on diverse perspectives, and we are committed to creating an environment where everyone can thrive, grow, and make an impact. We recognise there is always more to do, and we take responsibility for shaping a workplace that is not only diverse but genuinely inclusive. Diversity is not just the right thing to do, it is key to solving the complex challenges we choose to take on. By welcoming people from all backgrounds and experiences, we strengthen our ability to question assumptions, push boundaries, and design solutions that endure. If you're energised by complexity and motivated to grow, we encourage you to apply and join our global team. Next Steps: If this opportunity resonates with you, we encourage you to apply or share it with your connections! Our dedicated talent team reviews all applications, and we promise to provide feedback regardless of the outcome. For more information about applying and to view other opportunities, you can visit our careers page. Please note that background checks will be conducted as part of the hiring process to ensure compliance with our governance policies. We handle all background checks sensitively and in full compliance with relevant regulations. All applicant data will be processed in accordance with data protection regulations and our privacy policy.
Apr 30, 2026
Full time
About hyperexponential (hx) At hyperexponential, we're building the AI-powered platform that enables the world's most critical decisions in a $7 trillion industry, which risks to take, and how to price them. These are the decisions that shape real-world outcomes: whether rockets successfully launch into space, autonomous vehicles make it to market, or communities recover after major storms. Until now, insurance has been making billion-dollar decisions using outdated tools. We're changing that. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision - helping them move faster, act smarter, and take on more risk with confidence. Backed by a16z, Highland Europe, and Battery Ventures, we're scaling globally - already trusted by nearly 50 of the world's largest insurers, with zero churn and billions in premiums flowing through hx. What began as a single product in one market has rapidly evolved into a multi-product, multi-territory platform powering every stage of pricing and underwriting. AI is at the core of what we do - from building the world's first domain-specific AI peer programmer for insurance (think GitHub Copilot with a PhD in actuarial science) to shaping agentic workflows that reinvent how this industry operates. What makes hx different is the people who build it. Here, impact isn't tied to title or tenure; it's defined by the challenges you take on and the discipline you bring. Surrounded by peers who stretch you, you'll do the best, hardest work of your life in a company engineered to endure. If that sounds like you, join us in building what comes next. About the Analytics team Engineering at hx drives every breakthrough that transforms how insurers make billion-dollar decisions. Our Analytics team sits at the cutting edge of this mission, building the data systems that unlock the full value of complex insurance datasets. We're turning raw portfolio data into actionable insights that help underwriters and actuaries make smarter, faster decisions on risks worth billions. As a Senior Backend Engineer in the Analytics team, you'll architect and build the foundational data systems that power next-generation insurance analytics. This is greenfield territory - you'll be designing distributed data solutions from the ground up, creating scalable ingestion pipelines, and building the infrastructure that turns complex insurance data into competitive advantage for our customers. You'll work at the intersection of complex engineering challenges and real business impact, collaborating with sharp product and UX minds to create data-driven experiences that fundamentally change how insurers understand and optimise their risk portfolios. If you love solving hard technical problems while seeing direct customer impact, this is where you'll thrive. What You'll Be Doing Build scalable data systems in Kotlin that enable insurers to ingest, process, and explore complex datasets, turning months of manual analysis into real-time insights that drive billion-dollar risk decisions. Design distributed analytics infrastructure on AWS using Terraform, creating robust, cloud native systems that handle enterprise scale data volumes while maintaining reliability and performance. Deliver customer facing analytics features that transform how users understand and optimise risk modelling, building intuitive interfaces for complex portfolio analytics that were previously impossible. Drive technical innovation in data architecture, piloting emerging technologies and AI/ML approaches that continuously improve the analytics experience and unlock new capabilities for customers. Collaborate across disciplines with Product, UX, and Engineering teams to translate complex business requirements into elegant technical solutions that balance powerful functionality with usability. Elevate system quality through robust architecture decisions, comprehensive testing, and clear documentation that makes complex data systems maintainable and scalable as the team grows. What You'll Need to Have Done Built production backend systems with proven experience as a polyglot engineer, ideally with strong Kotlin skills and the ability to work effectively across multiple languages and tech stacks. Delivered scalable cloud infrastructure using AWS and infrastructure as code tools like Terraform, with hands on experience building distributed systems that handle real world data volumes. Developed data warehousing solutions with hands on experience building ETL pipelines, data modelling, and orchestration workflows using modern tools (e.g., dbt, Airflow, Spark), demonstrating the ability to transform raw data into reliable, performant analytics infrastructure that supports business decision making at scale. Collaborated effectively across teams to deliver features that customers actually use, with evidence of translating business requirements into technical solutions that drive measurable impact. Maintained high code quality standards with a commitment to clean, well documented, maintainable systems and the discipline to build infrastructure that scales with business growth. Demonstrated curiosity about emerging technologies, particularly around data processing, analytics platforms, and AI/ML tools that can enhance developer productivity and unlock new customer value. You're Unlikely To Thrive Here If You prefer working with well established data systems rather than building foundational analytics infrastructure from scratch in a rapidly evolving environment. You're more comfortable focusing on purely technical challenges than understanding the business context and customer impact of the data systems you're building. You're not excited by the complexity that comes with distributed data processing, enterprise scale systems, and the technical depth required for analytics platforms. Reading our Culture Document leaves you feeling neutral rather than energised, hx may not be the place where you'll do your best work. We're building something that asks for commitment and conviction, and we want you to feel excited by the opportunity to grow with us. Compensation At hx, we're committed to salary transparency. You'll always have clarity on pay early in the process - our Talent Partner will share details with you during initial conversations - and we're working towards publishing salary information for all roles globally. Because we're building at the intersection of technology/SaaS and insurance, our roles don't always map neatly onto traditional benchmarks. Our approach is to design compensation that's competitive in the market, fair across teams, and aligned with the impact our people make. Equity: We offer equity across all roles at hx, making it a significant component of total compensation. Your talent partner will be able to share more details about this. Benefits £5,000 training and conference budget for individual and group development. 25 days of holiday plus 8 bank holidays (33 days total). Company pension scheme via Penfold. Mental health support and therapy via Spectrum.life. Individual wellbeing allowance via Juno. Private healthcare insurance through AXA. Income protection and Life Insurance. Cycle to Work Scheme Additional Perks Top-spec equipment (laptop, screens, adjustable desks, etc.). Regular remote and in person hackathons, lunch and learns, socials, and game nights. Team breakfasts and lunches, snacks, drinks fridge, and a fun office at The Ministry. Exceptional opportunities for personal development and growth as we build something remarkable together. Interview Process Initial call with our Talent team to kick things off (30 minutes) Manager Interview (60 minutes) Technical Interview - Code Review & AI Pairing (120 minutes) Values Interview (60 minutes) We offer! Our Commitment to Diversity hxer's are at the centre of everything we build. We know that progress depends on diverse perspectives, and we are committed to creating an environment where everyone can thrive, grow, and make an impact. We recognise there is always more to do, and we take responsibility for shaping a workplace that is not only diverse but genuinely inclusive. Diversity is not just the right thing to do, it is key to solving the complex challenges we choose to take on. By welcoming people from all backgrounds and experiences, we strengthen our ability to question assumptions, push boundaries, and design solutions that endure. If you're energised by complexity and motivated to grow, we encourage you to apply and join our global team. Next Steps: If this opportunity resonates with you, we encourage you to apply or share it with your connections! Our dedicated talent team reviews all applications, and we promise to provide feedback regardless of the outcome. For more information about applying and to view other opportunities, you can visit our careers page. Please note that background checks will be conducted as part of the hiring process to ensure compliance with our governance policies. We handle all background checks sensitively and in full compliance with relevant regulations. All applicant data will be processed in accordance with data protection regulations and our privacy policy.
Lead AI Engineer (Principal Consultant) Location: London (Hybrid) | Practice Area : Technology & Engineering Type: Permanent Empower the next frontier of AI with Capco. Shape, build, and deliver future-ready generative systems. The Role We're looking for a Lead AI Engineer (Principal Consultant) to join our Technology Delivery Team. You'll combine your expertise in AI/ML engineering and software development to build and deploy cutting-edge generative AI and agentic systems across the financial services sector. As a hands-on leader, you'll architect AI solutions, embed them within enterprise environments, and drive impactful outcomes through advanced engineering, scalable pipelines, and deep cross-functional collaboration. What You'll Do Architect and develop autonomous AI systems integrating multi-modal LLMs (text, image, audio, video) Design agentic workflows enabling AI agents to interact with data sources and APIs using prompt engineering and RAG Fine-tune, optimize, and deploy large language and multi-modal models with a focus on performance and latency Build scalable MLOps pipelines and full-stack applications to support robust, production-grade AI deployments Guide multidisciplinary teams and clients through strategic decisions in AI engineering and GenAI adoption What We're Looking For Bachelor's degree or higher in Computer Science, AI, or related STEM fields Hands-on experience deploying LLMs and multi-modal models at scale Strong engineering background in Python with proven Back End and API development skills Solid understanding of scalable MLOps, observability, and cloud-native AI deployment Excellent communication, problem-solving, and project management skills in agile environments Bonus Points For Experience with agentic frameworks (eg, LangChain, LlamaIndex) Experience in deep learning frameworks and Front End development Familiarity with Langfuse, Langsmith, or other LLM observability tools Understanding of Model Context Protocol and bias/hallucination mitigation techniques Previous success in integrating GenAI solutions into enterprise-scale systems Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions Work in a collaborative, flat, and entrepreneurial consulting culture Access continuous learning, training, and industry certifications Be part of a team shaping the future of digital financial services Help shape the future of digital transformation across FS & Energy. Benefits We offer a competitive, people-first benefits package designed to support every aspect of your life: Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover. Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in-house first aiders. Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement. Family Care: 8 complimentary backup care sessions for emergency childcare or elder care. Holiday Flexibility : 5 weeks of annual leave with the option to buy or sell holiday days based on your needs. Continuous Learning: Your growth, your way - minimum 40 Hours of Training Annually. Take your pick; workshops, certifications, E-learning. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development. Healthcare Access : Convenient online GP services. Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance. Inclusion at Capco We're committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know - we'll be happy to help. We value each person's unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our culture encourages individuality and collaboration - a mindset that shapes how we work with clients and each other every day.
Apr 30, 2026
Full time
Lead AI Engineer (Principal Consultant) Location: London (Hybrid) | Practice Area : Technology & Engineering Type: Permanent Empower the next frontier of AI with Capco. Shape, build, and deliver future-ready generative systems. The Role We're looking for a Lead AI Engineer (Principal Consultant) to join our Technology Delivery Team. You'll combine your expertise in AI/ML engineering and software development to build and deploy cutting-edge generative AI and agentic systems across the financial services sector. As a hands-on leader, you'll architect AI solutions, embed them within enterprise environments, and drive impactful outcomes through advanced engineering, scalable pipelines, and deep cross-functional collaboration. What You'll Do Architect and develop autonomous AI systems integrating multi-modal LLMs (text, image, audio, video) Design agentic workflows enabling AI agents to interact with data sources and APIs using prompt engineering and RAG Fine-tune, optimize, and deploy large language and multi-modal models with a focus on performance and latency Build scalable MLOps pipelines and full-stack applications to support robust, production-grade AI deployments Guide multidisciplinary teams and clients through strategic decisions in AI engineering and GenAI adoption What We're Looking For Bachelor's degree or higher in Computer Science, AI, or related STEM fields Hands-on experience deploying LLMs and multi-modal models at scale Strong engineering background in Python with proven Back End and API development skills Solid understanding of scalable MLOps, observability, and cloud-native AI deployment Excellent communication, problem-solving, and project management skills in agile environments Bonus Points For Experience with agentic frameworks (eg, LangChain, LlamaIndex) Experience in deep learning frameworks and Front End development Familiarity with Langfuse, Langsmith, or other LLM observability tools Understanding of Model Context Protocol and bias/hallucination mitigation techniques Previous success in integrating GenAI solutions into enterprise-scale systems Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions Work in a collaborative, flat, and entrepreneurial consulting culture Access continuous learning, training, and industry certifications Be part of a team shaping the future of digital financial services Help shape the future of digital transformation across FS & Energy. Benefits We offer a competitive, people-first benefits package designed to support every aspect of your life: Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover. Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in-house first aiders. Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement. Family Care: 8 complimentary backup care sessions for emergency childcare or elder care. Holiday Flexibility : 5 weeks of annual leave with the option to buy or sell holiday days based on your needs. Continuous Learning: Your growth, your way - minimum 40 Hours of Training Annually. Take your pick; workshops, certifications, E-learning. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development. Healthcare Access : Convenient online GP services. Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance. Inclusion at Capco We're committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know - we'll be happy to help. We value each person's unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our culture encourages individuality and collaboration - a mindset that shapes how we work with clients and each other every day.
Senior Product Manager Location: London (Hybrid) About Swap Swap is the infrastructure behind modern agentic commerce. The only AI-native platform connecting backend operations with a forward-thinking storefront experience. Built for brands that want to sell anything - anywhere, Swap centralises global operations, powers intelligent workflows, and unlocks margin-protecting decisions with real-time data and capability. Our products span cross-border, tax, returns, demand planning, and our next-generation agentic storefront, giving merchants full transparency and the ability to act with confidence. At Swap, we're building a culture that values clarity, creativity, and shared ownership as we redefine how global commerce works. About the role We are seeking an experienced Product Manager - Cross Border to join our product organisation. In this role, you will lead product strategy, discovery, and delivery for capabilities that help merchants navigate complex international sales, starting with supporting their product catalog readiness, through enabling their online checkout experiences to accommodate for unique taxes and compliance aspects, all the way through execution and delivery of the fulfilment phases. You are expected to leverage AI for constant refinement of the various features and flows improving efficiency and value as well as handling user-facing experiences that simplify global selling. You will work cross-functionally with engineering, design, sales, compliance, operations, legal, and GTM teams to define and ship solutions that unlock value for merchants expanding their e-commerce footprint globally. What you'll do Define product vision & strategy: Shape the roadmap for global commerce products with a focus on cross-border pricing, duties & tax calculation, compliance, and an international wide set of regulatory aspects - all with a purpose of simplified selling and streamlined operations. Champion end-to-end ecommerce funnel tooling: Drive a SCRUM team in developing features that automate various steps and dimensions of both shopper and merchant facing experiences that required to complete and support a smooth and accurate cross-border shopping experience, focusing on financial and compliance accuracy to reduce merchant risk and negative surprise costs at delivery. Lead discovery & prioritisation: Conduct user research, gather requirements from stakeholders, and balance short-term merchant needs with long-term product strategies. Deliver scalable solutions: Partner with engineering and design to launch high-quality features that improve merchant operational workflows and customer checkout and post-checkout experiences across regions. Measure impact: Define success metrics, monitor product performance (e.g., conversion, compliance accuracy rates, landed cost precision), and iterate based on data. Cross-team communication: Coordinate with legal, operations, and partner teams to ensure global features meet regulatory and commercial requirements in diverse markets. Who you are Experienced product leader: 5+ years of product management experience in SaaS, compliance and/or e-commerce, with a history of shipping impactful global products. Cross-border domain knowledge: Understanding of international taxation (VAT/GST), import duties, trade compliance, and how these impact pricing and checkout experiences. Data-driven: Comfortable using quantitative and qualitative data to set priorities, test hypotheses, and drive decisions. Technical aptitude: Able to collaborate with engineering teams on APIs, integrations, and backend workflows, and translate complex requirements into clear specs. Customer-centric: Passionate about solving real merchant challenges and enhancing the global selling experience. Collaborative communicator: Excellent verbal and written communication; thrives in cross-functional environments. Nice to have Experience with e-commerce platforms (Shopify, SFCC, Magento/Adobe Commerce, BigCommerce). Prior work in tax/finance, trade compliance, or international logistics software. Familiarity with AI-empowered products or analytics tools. Exposure to products that operate in regulated or multi-jurisdiction environments. Benefits Competitive base salary. Stock options in a high-growth startup. Competitive PTO with public holidays additional. Private Health. Pension. Wellness benefits. Breakfast Mondays. Diversity & Equal Opportunities We embrace diversity and equality in a serious way. We are committed to building a team with a variety of backgrounds, skills, and views. The more inclusive we are, the better our work will be. Creating a culture of equality isn't just the right thing to do; it's also the smart thing.
Apr 29, 2026
Full time
Senior Product Manager Location: London (Hybrid) About Swap Swap is the infrastructure behind modern agentic commerce. The only AI-native platform connecting backend operations with a forward-thinking storefront experience. Built for brands that want to sell anything - anywhere, Swap centralises global operations, powers intelligent workflows, and unlocks margin-protecting decisions with real-time data and capability. Our products span cross-border, tax, returns, demand planning, and our next-generation agentic storefront, giving merchants full transparency and the ability to act with confidence. At Swap, we're building a culture that values clarity, creativity, and shared ownership as we redefine how global commerce works. About the role We are seeking an experienced Product Manager - Cross Border to join our product organisation. In this role, you will lead product strategy, discovery, and delivery for capabilities that help merchants navigate complex international sales, starting with supporting their product catalog readiness, through enabling their online checkout experiences to accommodate for unique taxes and compliance aspects, all the way through execution and delivery of the fulfilment phases. You are expected to leverage AI for constant refinement of the various features and flows improving efficiency and value as well as handling user-facing experiences that simplify global selling. You will work cross-functionally with engineering, design, sales, compliance, operations, legal, and GTM teams to define and ship solutions that unlock value for merchants expanding their e-commerce footprint globally. What you'll do Define product vision & strategy: Shape the roadmap for global commerce products with a focus on cross-border pricing, duties & tax calculation, compliance, and an international wide set of regulatory aspects - all with a purpose of simplified selling and streamlined operations. Champion end-to-end ecommerce funnel tooling: Drive a SCRUM team in developing features that automate various steps and dimensions of both shopper and merchant facing experiences that required to complete and support a smooth and accurate cross-border shopping experience, focusing on financial and compliance accuracy to reduce merchant risk and negative surprise costs at delivery. Lead discovery & prioritisation: Conduct user research, gather requirements from stakeholders, and balance short-term merchant needs with long-term product strategies. Deliver scalable solutions: Partner with engineering and design to launch high-quality features that improve merchant operational workflows and customer checkout and post-checkout experiences across regions. Measure impact: Define success metrics, monitor product performance (e.g., conversion, compliance accuracy rates, landed cost precision), and iterate based on data. Cross-team communication: Coordinate with legal, operations, and partner teams to ensure global features meet regulatory and commercial requirements in diverse markets. Who you are Experienced product leader: 5+ years of product management experience in SaaS, compliance and/or e-commerce, with a history of shipping impactful global products. Cross-border domain knowledge: Understanding of international taxation (VAT/GST), import duties, trade compliance, and how these impact pricing and checkout experiences. Data-driven: Comfortable using quantitative and qualitative data to set priorities, test hypotheses, and drive decisions. Technical aptitude: Able to collaborate with engineering teams on APIs, integrations, and backend workflows, and translate complex requirements into clear specs. Customer-centric: Passionate about solving real merchant challenges and enhancing the global selling experience. Collaborative communicator: Excellent verbal and written communication; thrives in cross-functional environments. Nice to have Experience with e-commerce platforms (Shopify, SFCC, Magento/Adobe Commerce, BigCommerce). Prior work in tax/finance, trade compliance, or international logistics software. Familiarity with AI-empowered products or analytics tools. Exposure to products that operate in regulated or multi-jurisdiction environments. Benefits Competitive base salary. Stock options in a high-growth startup. Competitive PTO with public holidays additional. Private Health. Pension. Wellness benefits. Breakfast Mondays. Diversity & Equal Opportunities We embrace diversity and equality in a serious way. We are committed to building a team with a variety of backgrounds, skills, and views. The more inclusive we are, the better our work will be. Creating a culture of equality isn't just the right thing to do; it's also the smart thing.
My leading eCommerce client are looking for a talented and motivated individual to drive the development of cutting-edge AI solutions that includes conversational, Agentic AI's. This role focuses on building advanced conversational AI systems, implementation AI Agents across different use cases, implementing sophisticated RAG architectures, and deploying production-grade voice AI applications. This is a newly created role in a rapidly growing business. A brilliant opportunity! The following skills/experience is essential: Hands-on experience with advanced RAG systems Strong experience with LLM technologies Agentic AI experience Software Engineering background Good communication skills Salary: Up to £95,000 + bonus + package Location: London (good work from home options available) If you are interested in this Senior AI Engineer position and meet the above requirements please apply immediately.
Apr 29, 2026
Full time
My leading eCommerce client are looking for a talented and motivated individual to drive the development of cutting-edge AI solutions that includes conversational, Agentic AI's. This role focuses on building advanced conversational AI systems, implementation AI Agents across different use cases, implementing sophisticated RAG architectures, and deploying production-grade voice AI applications. This is a newly created role in a rapidly growing business. A brilliant opportunity! The following skills/experience is essential: Hands-on experience with advanced RAG systems Strong experience with LLM technologies Agentic AI experience Software Engineering background Good communication skills Salary: Up to £95,000 + bonus + package Location: London (good work from home options available) If you are interested in this Senior AI Engineer position and meet the above requirements please apply immediately.
Salary: Competitive depending on experience Location: 2-3 days on-site at our Harwell office with travel to client site when required Contract type: Full-timepermanent - 37.5 hours A note from the Founders Oxford Dynamics is at an inflection point. We operate in some of the most complex and high stakes environments in the world - defence, national security, AI and robotics. The decisions we make now will define not just how fast we grow, but who we become. You will work closely with all the team. You will be trusted with judgment calls. You will influence the business. And you will see the impact of your work every day in the work we do. If you are excited by ownership, pace and purpose - and by building something that genuinely matters - we would love to hear from you. Who We Are Founded in 2020, Oxford Dynamics (OD) is a fast growing UK deep tech company developing AI and robotic systems designed to operate in mission critical environments. Our flagship AVIS (A Very Intelligent System) AI framework fuses multi modal data - text, imagery, telemetry and sensor feeds - enabling operators to interrogate complex information at speed and make better decisions under pressure. Our STRIDER robotic platform performs autonomous tasks in hazardous environments, protecting people while extending operational reach. Our ambition is simple but demanding: to converge AI and robotics so machines can sense, understand and act in complex, real world environments. We work with defence and security organisations internationally to help protect nations, infrastructure and lives. What you will be doing here/ why this role matters Oxford Dynamics is a small team who rely on a collaborative and positive approach and so the right attitude for this role is equally as important as experience. We are at an important stage and time in our growth, and as aSenior AI Generative Robotics Engineer you will be an essential part of our success. You'll work at thecutting edge of agentic and generative AI, building systems that move beyond lab demos and intoreal world deployment at pace. At Oxford Dynamics, you'll have the freedom to experiment in a fast moving environment, the responsibility to deliver, and the opportunity to shape howmulti agent AI systems operate in complex, constrained, and high trust environments. If you're excited byagent orchestration, VLLMs, and deploying AI where it matters, this role is built for you! Role Summary We're hiring a Test & AI Evaluation Lead to own how Oxford Dynamics validates its AI driven, mission critical systems - from multi agent orchestration and LLM outputs through to cloud infrastructure and real time user facing applications. You'll design and lead test approaches where correctness, resilience, and security matter as much as feature velocity. Working embedded with AI, Backend, Frontend, and DevOps, you'll shape how we validate agent behaviours, data pipelines, and end to end operational workflows - from research prototypes through to production deployments for Defence and Security customers. Quality is built in from day one, not inspected at the end. Key Responsibilities Define and own the end to end test strategy across AI, backend, frontend, and infrastructure layers. Establish testing standards appropriate for agentic AI systems, including non deterministic behaviour and probabilistic outputs. Ensure testing aligns with mission critical, safety conscious, and security first delivery expectations. Act as the primary quality authority across projects, advising engineering and product leadership on risk and readiness. AI & Data Focused Testing Design approaches for testing multi agent workflows, including orchestration logic, memory/state handling, and tool integrations. Define validation strategies for LLM outputs, including groundedness, hallucination detection, task success rates, and regression testing. Work with AI Engineers to embed evaluation metrics and pass/fail thresholds into pipelines. Validate data ingestion, transformation, and inference pipelines across structured and unstructured data sources. Automation & Tooling Drive a test automation first mindset, integrating tests into CI/CD pipelines (GitHub Actions, Argo CD). Oversee automated testing across API and service layers, UI (E2E and accessibility), and infrastructure and deployment workflows. Select, implement, and evolve testing tools and frameworks appropriate to modern cloud native and AI systems. Non Functional Testing Own performance, scalability, reliability, and resilience testing for distributed systems. Coordinate security testing activities in line with secure by design principles (e.g. IAM, secrets handling, data boundaries). Validate backup, disaster recovery, and failover scenarios alongside DevOps and Backend teams. Delivery & Collaboration Embed with delivery teams to ensure testing is planned early and executed continuously. Work closely with Product and Engineering to define clear acceptance criteria and definition of done. Provide clear, decision ready quality reporting to technical and non technical stakeholders. Support customer facing demonstrations, trials, and operational readiness assessments. Required Skills & Experience Proven experience as a Test Manager, Senior Test Lead, or equivalent on complex software systems. Strong track record of taking applications into production in regulated environments. Strong background in automated testing across APIs, services, and UIs, integrated into CI/CD pipelines. Experience testing distributed, cloud native systems (AWS, GCP, or Kubernetes), including performance, reliability, and resilience. Awareness of compliance frameworks (e.g. ISO 27001, NIST, OWASP). ISTQB Advanced / Test Manager certification or equivalent practical experience. SC Clearance or eligibility to obtain UK SC Clearance. Preferred Experience Experience in UK defence, public sector, or security environments. Experience testing AI/ML/LLM based systems, including non deterministic outputs. Exposure to agent based or workflow driven architectures. Soft Skills A pragmatic, delivery focused mindset - able to balance speed with rigour. Comfortable operating in fast moving, ambiguous, R&D heavy environments. Confidence challenging assumptions and raising quality risks early. Strong written and verbal communication, especially around complex technical risk. Why Oxford Dynamics? Join the most exciting growth area in the UK: AI and Robotics! Every member of the Oxford Dynamics team has a major impact on the products and services we provide. Regardless of job title you'll get to make a real difference and learn from colleagues about all areas of our business. Benefits Salary: negotiable based on experience and attitudes Rapid career progression with meaningful ownership of core systems Opportunity to shape the future of a fast growing, successful, early stage business Flexible working hours Hybrid working model Company pension (UK Government NEST scheme) with company contributions at 4% Private Healthcare 29 days holiday in addition to public holidays (Full Time Equivalent) Oxford Dynamics is committed to creating an inclusive team experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or parental status, we believe our work is at its best when everyone feels free to be their authentic self. Why This Role? You'll play a critical shaping role in how Oxford Dynamics delivers trustworthy, production ready AI systems into some of the most demanding operational environments there are. If you enjoy working close to the technology, influencing how systems are built - not just tested - and tackling the realities of validating AI driven software, this role gives you genuine ownership and impact.
Apr 29, 2026
Full time
Salary: Competitive depending on experience Location: 2-3 days on-site at our Harwell office with travel to client site when required Contract type: Full-timepermanent - 37.5 hours A note from the Founders Oxford Dynamics is at an inflection point. We operate in some of the most complex and high stakes environments in the world - defence, national security, AI and robotics. The decisions we make now will define not just how fast we grow, but who we become. You will work closely with all the team. You will be trusted with judgment calls. You will influence the business. And you will see the impact of your work every day in the work we do. If you are excited by ownership, pace and purpose - and by building something that genuinely matters - we would love to hear from you. Who We Are Founded in 2020, Oxford Dynamics (OD) is a fast growing UK deep tech company developing AI and robotic systems designed to operate in mission critical environments. Our flagship AVIS (A Very Intelligent System) AI framework fuses multi modal data - text, imagery, telemetry and sensor feeds - enabling operators to interrogate complex information at speed and make better decisions under pressure. Our STRIDER robotic platform performs autonomous tasks in hazardous environments, protecting people while extending operational reach. Our ambition is simple but demanding: to converge AI and robotics so machines can sense, understand and act in complex, real world environments. We work with defence and security organisations internationally to help protect nations, infrastructure and lives. What you will be doing here/ why this role matters Oxford Dynamics is a small team who rely on a collaborative and positive approach and so the right attitude for this role is equally as important as experience. We are at an important stage and time in our growth, and as aSenior AI Generative Robotics Engineer you will be an essential part of our success. You'll work at thecutting edge of agentic and generative AI, building systems that move beyond lab demos and intoreal world deployment at pace. At Oxford Dynamics, you'll have the freedom to experiment in a fast moving environment, the responsibility to deliver, and the opportunity to shape howmulti agent AI systems operate in complex, constrained, and high trust environments. If you're excited byagent orchestration, VLLMs, and deploying AI where it matters, this role is built for you! Role Summary We're hiring a Test & AI Evaluation Lead to own how Oxford Dynamics validates its AI driven, mission critical systems - from multi agent orchestration and LLM outputs through to cloud infrastructure and real time user facing applications. You'll design and lead test approaches where correctness, resilience, and security matter as much as feature velocity. Working embedded with AI, Backend, Frontend, and DevOps, you'll shape how we validate agent behaviours, data pipelines, and end to end operational workflows - from research prototypes through to production deployments for Defence and Security customers. Quality is built in from day one, not inspected at the end. Key Responsibilities Define and own the end to end test strategy across AI, backend, frontend, and infrastructure layers. Establish testing standards appropriate for agentic AI systems, including non deterministic behaviour and probabilistic outputs. Ensure testing aligns with mission critical, safety conscious, and security first delivery expectations. Act as the primary quality authority across projects, advising engineering and product leadership on risk and readiness. AI & Data Focused Testing Design approaches for testing multi agent workflows, including orchestration logic, memory/state handling, and tool integrations. Define validation strategies for LLM outputs, including groundedness, hallucination detection, task success rates, and regression testing. Work with AI Engineers to embed evaluation metrics and pass/fail thresholds into pipelines. Validate data ingestion, transformation, and inference pipelines across structured and unstructured data sources. Automation & Tooling Drive a test automation first mindset, integrating tests into CI/CD pipelines (GitHub Actions, Argo CD). Oversee automated testing across API and service layers, UI (E2E and accessibility), and infrastructure and deployment workflows. Select, implement, and evolve testing tools and frameworks appropriate to modern cloud native and AI systems. Non Functional Testing Own performance, scalability, reliability, and resilience testing for distributed systems. Coordinate security testing activities in line with secure by design principles (e.g. IAM, secrets handling, data boundaries). Validate backup, disaster recovery, and failover scenarios alongside DevOps and Backend teams. Delivery & Collaboration Embed with delivery teams to ensure testing is planned early and executed continuously. Work closely with Product and Engineering to define clear acceptance criteria and definition of done. Provide clear, decision ready quality reporting to technical and non technical stakeholders. Support customer facing demonstrations, trials, and operational readiness assessments. Required Skills & Experience Proven experience as a Test Manager, Senior Test Lead, or equivalent on complex software systems. Strong track record of taking applications into production in regulated environments. Strong background in automated testing across APIs, services, and UIs, integrated into CI/CD pipelines. Experience testing distributed, cloud native systems (AWS, GCP, or Kubernetes), including performance, reliability, and resilience. Awareness of compliance frameworks (e.g. ISO 27001, NIST, OWASP). ISTQB Advanced / Test Manager certification or equivalent practical experience. SC Clearance or eligibility to obtain UK SC Clearance. Preferred Experience Experience in UK defence, public sector, or security environments. Experience testing AI/ML/LLM based systems, including non deterministic outputs. Exposure to agent based or workflow driven architectures. Soft Skills A pragmatic, delivery focused mindset - able to balance speed with rigour. Comfortable operating in fast moving, ambiguous, R&D heavy environments. Confidence challenging assumptions and raising quality risks early. Strong written and verbal communication, especially around complex technical risk. Why Oxford Dynamics? Join the most exciting growth area in the UK: AI and Robotics! Every member of the Oxford Dynamics team has a major impact on the products and services we provide. Regardless of job title you'll get to make a real difference and learn from colleagues about all areas of our business. Benefits Salary: negotiable based on experience and attitudes Rapid career progression with meaningful ownership of core systems Opportunity to shape the future of a fast growing, successful, early stage business Flexible working hours Hybrid working model Company pension (UK Government NEST scheme) with company contributions at 4% Private Healthcare 29 days holiday in addition to public holidays (Full Time Equivalent) Oxford Dynamics is committed to creating an inclusive team experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or parental status, we believe our work is at its best when everyone feels free to be their authentic self. Why This Role? You'll play a critical shaping role in how Oxford Dynamics delivers trustworthy, production ready AI systems into some of the most demanding operational environments there are. If you enjoy working close to the technology, influencing how systems are built - not just tested - and tackling the realities of validating AI driven software, this role gives you genuine ownership and impact.
About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we're building the delivery of (almost) everything and you'll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn't always easy, but it's definitely exciting. Here you'll learn more, build more, and ship more than in most other companies. You'll be challenged a lot, but also have a lot of fun on the way. So, if you're a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. We are seeking a forward-thinking, AI-first leader to shape and drive the evolution of Marketing Innovation across the organization. Sitting within the Marketing function, this role is responsible for defining how AI transforms marketing-from how we plan and create, to how we execute, personalize, and scale. As Global Head of Marketing Innovation, you will lead the transition from traditional marketing operations and tooling toward AI-powered workflows, agent-driven automation, and intelligent decision systems. You will define what capabilities marketing needs to succeed in an AI-native environment and translate those into clear, prioritized roadmaps in close partnership with Product, Engineering, and Data teams. This role goes beyond managing technology-it is about rethinking how marketing works. You will act as the primary bridge between Marketing and technical teams, ensuring AI solutions are aligned with business goals, scalable across markets, and embedded into day-to-day workflows. You will also lead a small but high-impact team, including an AI Enablement specialist responsible for driving adoption across the organization. The role reports directly to the Senior Director of Growth Marketing & Innovation. What you'll be doing AI Strategy & Marketing Transformation Define and lead the long-term vision for AI-powered marketing, including automation, personalization, and intelligent workflows. Identify high-impact opportunities where AI can replace manual work, improve decision-making, and unlock scale. Drive the transition from tool-based execution to AI-enabled operating models across marketing functions. AI Product Thinking & Roadmap Ownership Translate marketing needs into AI-driven solutions, including agents, automation systems, and intelligent workflows. Own and prioritize the Marketing Innovation roadmap, balancing business impact, feasibility, and scalability. Act as the primary DRI within Marketing for AI-related initiatives, managing trade-offs and sequencing. Agentic AI & Workflow Automation Lead the design and deployment of AI agents to automate workflows across creative production, performance marketing, CRM, and localization. Ensure solutions are embedded into real workflows-not standalone tools. Continuously identify and scale automation opportunities across the organization. Cross-Functional Leadership Partner closely with Product, Engineering, Data Science, and Analytics teams to build and deploy AI solutions. Ensure alignment between marketing needs, technical capabilities, and long-term system architecture. Influence without direct authority, driving execution through strong cross-functional collaboration. AI Adoption & Enablement Own the global adoption of AI solutions across Marketing. Lead and mentor an AI Enablement specialist focused on training, documentation, and day-to-day usage. Establish clear processes, playbooks, and best practices to ensure teams effectively leverage AI capabilities. Drive cultural change toward AI-first ways of working. Governance, Quality & Compliance Ensure AI solutions meet standards for quality, consistency, and brand alignment. Partner with Legal, Privacy, and Engineering teams to ensure compliance with data governance and regulatory requirements. Define guardrails, escalation paths, and approval processes for AI-driven workflows. Vendor & Ecosystem Strategy Evaluate and manage external AI tools, platforms, and partners. Ensure the ecosystem supports long-term flexibility and avoids unnecessary complexity. Maximize value from vendors through structured evaluation and performance management. Our humble expectations 8+ years of experience in product, AI/automation, marketing innovation, or related roles in high-scale digital environments. Strong product mindset, with experience translating business needs into scalable technical or AI-driven solutions. Solid understanding of marketing platforms and ecosystems (e.g., marketing automation, CRM, mobile attribution, ad tech), with the ability to evaluate trade-offs without needing to be hands on in system configuration or engineering Hands on understanding of AI capabilities (e.g., LLMs, agents, automation tools) and how they apply to marketing workflows. Experience working cross functionally with Product, Engineering, Data, and Analytics teams. Proven ability to operate in ambiguous environments and build structure where none exists. Strong stakeholder management and communication skills, with the ability to influence senior leaders. Experience building or leading small, high impact teams. Passion for AI innovation and its application to real world operational challenges. Nice to have: Experience with marketing platforms (CRM, automation, ad tech) Familiarity with prompt design, workflow orchestration, or AI tooling ecosystems Understanding of Marketing Automation and AdTech systems (e.g., Iterable, Braze, Salesforce, Appsflyer, Adjust) Basic data fluency (e.g., SQL or analytics tools) What we offer This is a rare opportunity to get under the hood of a massive growth engine and actually build the tools that make it run. You won't just be managing existing software; you'll be the strategic architect responsible for moving us away from manual, "copy paste" work toward a smart, automated system powered by AI and real time data. You will have the mandate to bridge the gap between Marketing, Product and Engineering, making sure our tech stack is a competitive advantage rather than a bottleneck. Whether it's building a marketing engine to win back millions of users or launching ML powered personalization that hits the right customer at the perfect moment, you will be the one making it technically possible. If you want a high ownership role where you can solve real structural problems and lead a team of technical experts in a fast paced, global environment, this is it. Next steps Our hiring process prioritizes quality over speed to ensure we find the right long term fit for this critical role. Candidates move through the process one step at a time, typically starting with an initial screen and a hiring manager interview, followed by a peer interview and a take home case study presentation, concluding with a final value fit conversation. Our Commitment to Diversity and Inclusion We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Apr 29, 2026
Full time
About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we're building the delivery of (almost) everything and you'll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn't always easy, but it's definitely exciting. Here you'll learn more, build more, and ship more than in most other companies. You'll be challenged a lot, but also have a lot of fun on the way. So, if you're a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. We are seeking a forward-thinking, AI-first leader to shape and drive the evolution of Marketing Innovation across the organization. Sitting within the Marketing function, this role is responsible for defining how AI transforms marketing-from how we plan and create, to how we execute, personalize, and scale. As Global Head of Marketing Innovation, you will lead the transition from traditional marketing operations and tooling toward AI-powered workflows, agent-driven automation, and intelligent decision systems. You will define what capabilities marketing needs to succeed in an AI-native environment and translate those into clear, prioritized roadmaps in close partnership with Product, Engineering, and Data teams. This role goes beyond managing technology-it is about rethinking how marketing works. You will act as the primary bridge between Marketing and technical teams, ensuring AI solutions are aligned with business goals, scalable across markets, and embedded into day-to-day workflows. You will also lead a small but high-impact team, including an AI Enablement specialist responsible for driving adoption across the organization. The role reports directly to the Senior Director of Growth Marketing & Innovation. What you'll be doing AI Strategy & Marketing Transformation Define and lead the long-term vision for AI-powered marketing, including automation, personalization, and intelligent workflows. Identify high-impact opportunities where AI can replace manual work, improve decision-making, and unlock scale. Drive the transition from tool-based execution to AI-enabled operating models across marketing functions. AI Product Thinking & Roadmap Ownership Translate marketing needs into AI-driven solutions, including agents, automation systems, and intelligent workflows. Own and prioritize the Marketing Innovation roadmap, balancing business impact, feasibility, and scalability. Act as the primary DRI within Marketing for AI-related initiatives, managing trade-offs and sequencing. Agentic AI & Workflow Automation Lead the design and deployment of AI agents to automate workflows across creative production, performance marketing, CRM, and localization. Ensure solutions are embedded into real workflows-not standalone tools. Continuously identify and scale automation opportunities across the organization. Cross-Functional Leadership Partner closely with Product, Engineering, Data Science, and Analytics teams to build and deploy AI solutions. Ensure alignment between marketing needs, technical capabilities, and long-term system architecture. Influence without direct authority, driving execution through strong cross-functional collaboration. AI Adoption & Enablement Own the global adoption of AI solutions across Marketing. Lead and mentor an AI Enablement specialist focused on training, documentation, and day-to-day usage. Establish clear processes, playbooks, and best practices to ensure teams effectively leverage AI capabilities. Drive cultural change toward AI-first ways of working. Governance, Quality & Compliance Ensure AI solutions meet standards for quality, consistency, and brand alignment. Partner with Legal, Privacy, and Engineering teams to ensure compliance with data governance and regulatory requirements. Define guardrails, escalation paths, and approval processes for AI-driven workflows. Vendor & Ecosystem Strategy Evaluate and manage external AI tools, platforms, and partners. Ensure the ecosystem supports long-term flexibility and avoids unnecessary complexity. Maximize value from vendors through structured evaluation and performance management. Our humble expectations 8+ years of experience in product, AI/automation, marketing innovation, or related roles in high-scale digital environments. Strong product mindset, with experience translating business needs into scalable technical or AI-driven solutions. Solid understanding of marketing platforms and ecosystems (e.g., marketing automation, CRM, mobile attribution, ad tech), with the ability to evaluate trade-offs without needing to be hands on in system configuration or engineering Hands on understanding of AI capabilities (e.g., LLMs, agents, automation tools) and how they apply to marketing workflows. Experience working cross functionally with Product, Engineering, Data, and Analytics teams. Proven ability to operate in ambiguous environments and build structure where none exists. Strong stakeholder management and communication skills, with the ability to influence senior leaders. Experience building or leading small, high impact teams. Passion for AI innovation and its application to real world operational challenges. Nice to have: Experience with marketing platforms (CRM, automation, ad tech) Familiarity with prompt design, workflow orchestration, or AI tooling ecosystems Understanding of Marketing Automation and AdTech systems (e.g., Iterable, Braze, Salesforce, Appsflyer, Adjust) Basic data fluency (e.g., SQL or analytics tools) What we offer This is a rare opportunity to get under the hood of a massive growth engine and actually build the tools that make it run. You won't just be managing existing software; you'll be the strategic architect responsible for moving us away from manual, "copy paste" work toward a smart, automated system powered by AI and real time data. You will have the mandate to bridge the gap between Marketing, Product and Engineering, making sure our tech stack is a competitive advantage rather than a bottleneck. Whether it's building a marketing engine to win back millions of users or launching ML powered personalization that hits the right customer at the perfect moment, you will be the one making it technically possible. If you want a high ownership role where you can solve real structural problems and lead a team of technical experts in a fast paced, global environment, this is it. Next steps Our hiring process prioritizes quality over speed to ensure we find the right long term fit for this critical role. Candidates move through the process one step at a time, typically starting with an initial screen and a hiring manager interview, followed by a peer interview and a take home case study presentation, concluding with a final value fit conversation. Our Commitment to Diversity and Inclusion We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
To accelerate AI adoption and maximize the efficiency of our internal processes across our engineering teams, we are seeking a Senior Machine Learning Engineer who combines deep expertise in LLMs, MLOps, and agentic AI with the credibility and communication skills to drive change across a multi-domain, distributed engineering organisation.# Senior Machine Learning Engineer (all genders welcome) - AI platform and developer tools force multipliers for our engineering teams. This role This is a hands-on technical role, but also suits someone able to earn trust through demonstrated expertise, bring people along through clear communication, and navigate the organisational complexity of rolling out new tools and practices across distributed teams with different tech stacks and priorities.Your first major project will be leading the technical implementation of an AI-assisted development initiative. Tasks may be evaluating and configuring our AI tool stack, building the retrieval and context systems that make those tools useful for our codebase, and instrumenting the metrics that prove the value.Develop and maintain reusable system prompts for common engineering tasks and complex technical domains.Run training sessions, document best practices, and build the internal knowledge base that raises the AI capability of the whole organization. Several years of leadership as Technical Lead or Engineering Manager in ML; 5+ years of ML engineering experience. Proven track record designing, building, and operating scalable production ML systems and software platforms with measurable business impact. Experience building platform and infrastructure tools for other engineering teams and defining development processes and workflows. Excellent Python skills, hands-on cloud experience (Azure/AWS/GCP), and strong MLOps practice (CI/CD for ML, versioning, monitoring, automation). Deep understanding of modern LLM architectures (transformers, attention) and extensive production experience with foundation and embedding models. Proficiency with agentic frameworks, multi-agent system design, and advanced prompt engineering. Excellent communication skills to convey complex technical topics clearly to diverse stakeholders. Strong influence through expertise, ability to lead without formal authority, and collaborative mindset in complex organizations. High autonomy and comfort with ambiguity, combined with a servant-leadership mindset focused on enabling other engineers. Resilient, pragmatic approach with evidence-based iteration in emerging technology areas. Development opportunities and career opportunities in a global, innovative and long-term oriented group of companies with family character Flexible working time, working time accounts and Home Office possible An open, informal corporate culture, where we celebrate success with social events Depending on the hiring location you may also benefit from local benefits
Apr 29, 2026
Full time
To accelerate AI adoption and maximize the efficiency of our internal processes across our engineering teams, we are seeking a Senior Machine Learning Engineer who combines deep expertise in LLMs, MLOps, and agentic AI with the credibility and communication skills to drive change across a multi-domain, distributed engineering organisation.# Senior Machine Learning Engineer (all genders welcome) - AI platform and developer tools force multipliers for our engineering teams. This role This is a hands-on technical role, but also suits someone able to earn trust through demonstrated expertise, bring people along through clear communication, and navigate the organisational complexity of rolling out new tools and practices across distributed teams with different tech stacks and priorities.Your first major project will be leading the technical implementation of an AI-assisted development initiative. Tasks may be evaluating and configuring our AI tool stack, building the retrieval and context systems that make those tools useful for our codebase, and instrumenting the metrics that prove the value.Develop and maintain reusable system prompts for common engineering tasks and complex technical domains.Run training sessions, document best practices, and build the internal knowledge base that raises the AI capability of the whole organization. Several years of leadership as Technical Lead or Engineering Manager in ML; 5+ years of ML engineering experience. Proven track record designing, building, and operating scalable production ML systems and software platforms with measurable business impact. Experience building platform and infrastructure tools for other engineering teams and defining development processes and workflows. Excellent Python skills, hands-on cloud experience (Azure/AWS/GCP), and strong MLOps practice (CI/CD for ML, versioning, monitoring, automation). Deep understanding of modern LLM architectures (transformers, attention) and extensive production experience with foundation and embedding models. Proficiency with agentic frameworks, multi-agent system design, and advanced prompt engineering. Excellent communication skills to convey complex technical topics clearly to diverse stakeholders. Strong influence through expertise, ability to lead without formal authority, and collaborative mindset in complex organizations. High autonomy and comfort with ambiguity, combined with a servant-leadership mindset focused on enabling other engineers. Resilient, pragmatic approach with evidence-based iteration in emerging technology areas. Development opportunities and career opportunities in a global, innovative and long-term oriented group of companies with family character Flexible working time, working time accounts and Home Office possible An open, informal corporate culture, where we celebrate success with social events Depending on the hiring location you may also benefit from local benefits
Your Role As a Senior Platform Engineer, you'll own the infrastructure, pipelines, and tooling that underpin how Walr's engineers build and ship software. Working within a small, focused platform team, you'll be hands on in everything from cloud infrastructure to CI/CD to observability - with a clear north star: developer experience. You'll measure your success in the same way we do: cycle time, build performance, and the confidence our engineers feel in the systems they rely on. This role is about leadership in execution, ownership of outcomes, and shaping your product's future. How You'll Make an Impact Technical Excellence Design, build, and maintain Walr's cloud infrastructure on Microsoft Azure using Infrastructure as Code (Bicep), ensuring environments are consistent, auditable, and scalable across multiple regions. Own our CI/CD pipelines (GitHub Actions) end to end, from authoring and optimizing pipelines to establishing release engineering standards that enable fast, reliable, low friction deployments. Implement and evolve our observability stack, building out logging, metrics, tracing, and alerting solutions that give engineers clear signal when things go wrong and confidence when they don't. Champion developer experience as a measurable outcome - track and improve key indicators such as build times, pipeline duration, and deployment frequency, treating the engineering team as your customer. Execution & Ownership Proactively identify and resolve infrastructure and platform issues before they become incidents, owning system reliability with an SRE mindset. Evaluate and introduce tooling - including AI native and agentic developer tools - that meaningfully accelerates how engineers work, with a bias for evidence over enthusiasm. Document platform capabilities and decisions clearly, reducing tribal knowledge and enabling engineering teams to self serve with confidence. Collaboration Partner closely with backend and frontend engineers across squads to understand their pain points and translate them into platform improvements. Informally mentor engineers on platform and DevSecOps practices, raising the waterline of infrastructure literacy across the engineering organization. Contribute to security and compliance posture (SOC 2, ISO 27001), working alongside the engineering leads to ensure platform practices meet our obligations without creating unnecessary friction. Skills That Set You Up For Success 5+ years of experience in platform, infrastructure, or DevOps engineering in a cloud native environment. Expertise in Microsoft Azure - including Azure Container Apps, Azure Functions, AKS, Service Bus, Cosmos DB, networking, and identity. Strong proficiency with Infrastructure as Code using Terraform or Bicep, with a focus on maintainability and reuse. Experience designing, building, and optimizing CI/CD pipelines, preferably with GitHub Actions. Deep understanding of containerization (Docker) and orchestration. Experience implementing observability solutions - structured logging, distributed tracing, metrics dashboards, and alerting (Datadog, incident.io, Sentry). A demonstrable commitment to developer experience, ideally with experience measuring and improving engineering throughput metrics. Excellent communication skills - equally effective writing a runbook, explaining a trade off to a product team, or raising a concern with leadership. Bonus Points For Microsoft certifications (Azure Administrator, DevOps Engineer Expert, or Solutions Architect). Experience with FinOps and cloud cost optimization practices. Background in SRE disciplines - SLOs, error budgets, and structured incident management. Hands on experience with AI native or agentic developer tooling, whether adopting, evaluating, or building it. Scripting proficiency in PowerShell, Bash, or Python for automation and tooling work.
Apr 28, 2026
Full time
Your Role As a Senior Platform Engineer, you'll own the infrastructure, pipelines, and tooling that underpin how Walr's engineers build and ship software. Working within a small, focused platform team, you'll be hands on in everything from cloud infrastructure to CI/CD to observability - with a clear north star: developer experience. You'll measure your success in the same way we do: cycle time, build performance, and the confidence our engineers feel in the systems they rely on. This role is about leadership in execution, ownership of outcomes, and shaping your product's future. How You'll Make an Impact Technical Excellence Design, build, and maintain Walr's cloud infrastructure on Microsoft Azure using Infrastructure as Code (Bicep), ensuring environments are consistent, auditable, and scalable across multiple regions. Own our CI/CD pipelines (GitHub Actions) end to end, from authoring and optimizing pipelines to establishing release engineering standards that enable fast, reliable, low friction deployments. Implement and evolve our observability stack, building out logging, metrics, tracing, and alerting solutions that give engineers clear signal when things go wrong and confidence when they don't. Champion developer experience as a measurable outcome - track and improve key indicators such as build times, pipeline duration, and deployment frequency, treating the engineering team as your customer. Execution & Ownership Proactively identify and resolve infrastructure and platform issues before they become incidents, owning system reliability with an SRE mindset. Evaluate and introduce tooling - including AI native and agentic developer tools - that meaningfully accelerates how engineers work, with a bias for evidence over enthusiasm. Document platform capabilities and decisions clearly, reducing tribal knowledge and enabling engineering teams to self serve with confidence. Collaboration Partner closely with backend and frontend engineers across squads to understand their pain points and translate them into platform improvements. Informally mentor engineers on platform and DevSecOps practices, raising the waterline of infrastructure literacy across the engineering organization. Contribute to security and compliance posture (SOC 2, ISO 27001), working alongside the engineering leads to ensure platform practices meet our obligations without creating unnecessary friction. Skills That Set You Up For Success 5+ years of experience in platform, infrastructure, or DevOps engineering in a cloud native environment. Expertise in Microsoft Azure - including Azure Container Apps, Azure Functions, AKS, Service Bus, Cosmos DB, networking, and identity. Strong proficiency with Infrastructure as Code using Terraform or Bicep, with a focus on maintainability and reuse. Experience designing, building, and optimizing CI/CD pipelines, preferably with GitHub Actions. Deep understanding of containerization (Docker) and orchestration. Experience implementing observability solutions - structured logging, distributed tracing, metrics dashboards, and alerting (Datadog, incident.io, Sentry). A demonstrable commitment to developer experience, ideally with experience measuring and improving engineering throughput metrics. Excellent communication skills - equally effective writing a runbook, explaining a trade off to a product team, or raising a concern with leadership. Bonus Points For Microsoft certifications (Azure Administrator, DevOps Engineer Expert, or Solutions Architect). Experience with FinOps and cloud cost optimization practices. Background in SRE disciplines - SLOs, error budgets, and structured incident management. Hands on experience with AI native or agentic developer tooling, whether adopting, evaluating, or building it. Scripting proficiency in PowerShell, Bash, or Python for automation and tooling work.
Adria Solutions Ltd
Newcastle Upon Tyne, Tyne And Wear
AI Agentic Engineer (MedTech) We re partnering with an innovative MedTech company in North of England that is building next-generation intelligent healthcare solutions. They are now looking for an number of AI Agentic Engineer to help design, build, and deploy autonomous AI systems that will directly support clinical and operational decision-making. This is a highly impactful role where you ll be working at the intersection of AI, software engineering, and healthcare innovation - developing agent-based systems that can reason, plan, and act within real-world medical workflows. You ll be joining a forward-thinking engineering team that is scaling rapidly, with a strong focus on responsible AI, performance, and real-world application. What you ll be doing You ll design and develop AI agent systems that can interact with tools, APIs, and data sources to complete complex tasks autonomously. You ll work closely with product and engineering teams to translate clinical and operational requirements into scalable AI-driven solutions, while ensuring safety, reliability, and interpretability are built into everything you deliver. What we re looking for We re looking for engineers with strong experience in AI/ML or software engineering who are excited by agentic AI systems and real-world applications. Key skills and experience include: Strong Python development experience Hands-on experience with LLMs and agent frameworks (e.g. LangChain, LlamaIndex, AutoGen or similar) Understanding of prompt engineering, RAG pipelines, and tool-using AI systems Experience working with APIs, data pipelines, and cloud platforms (AWS, Azure or GCP) Strong software engineering fundamentals (testing, version control, scalable design) Bonus experience: Background in healthcare, life sciences, or regulated environments Experience with AI safety, evaluation, or model monitoring Familiarity with distributed systems or event-driven architectures Location & working style This role is based in Newcastle, with fully remote working available, plus occasional collaboration sessions with the team when required. Why join? This is a rare opportunity to work on cutting-edge AI systems in a mission-driven MedTech environment, where your work will have direct real-world impact. You ll be joining a highly technical team solving meaningful problems with modern AI approaches. Interested? Please Click Apply Now! AI Agentic Engineer (MedTech)
Apr 27, 2026
Full time
AI Agentic Engineer (MedTech) We re partnering with an innovative MedTech company in North of England that is building next-generation intelligent healthcare solutions. They are now looking for an number of AI Agentic Engineer to help design, build, and deploy autonomous AI systems that will directly support clinical and operational decision-making. This is a highly impactful role where you ll be working at the intersection of AI, software engineering, and healthcare innovation - developing agent-based systems that can reason, plan, and act within real-world medical workflows. You ll be joining a forward-thinking engineering team that is scaling rapidly, with a strong focus on responsible AI, performance, and real-world application. What you ll be doing You ll design and develop AI agent systems that can interact with tools, APIs, and data sources to complete complex tasks autonomously. You ll work closely with product and engineering teams to translate clinical and operational requirements into scalable AI-driven solutions, while ensuring safety, reliability, and interpretability are built into everything you deliver. What we re looking for We re looking for engineers with strong experience in AI/ML or software engineering who are excited by agentic AI systems and real-world applications. Key skills and experience include: Strong Python development experience Hands-on experience with LLMs and agent frameworks (e.g. LangChain, LlamaIndex, AutoGen or similar) Understanding of prompt engineering, RAG pipelines, and tool-using AI systems Experience working with APIs, data pipelines, and cloud platforms (AWS, Azure or GCP) Strong software engineering fundamentals (testing, version control, scalable design) Bonus experience: Background in healthcare, life sciences, or regulated environments Experience with AI safety, evaluation, or model monitoring Familiarity with distributed systems or event-driven architectures Location & working style This role is based in Newcastle, with fully remote working available, plus occasional collaboration sessions with the team when required. Why join? This is a rare opportunity to work on cutting-edge AI systems in a mission-driven MedTech environment, where your work will have direct real-world impact. You ll be joining a highly technical team solving meaningful problems with modern AI approaches. Interested? Please Click Apply Now! AI Agentic Engineer (MedTech)
AI Agentic Engineer (MedTech) We re partnering with an innovative MedTech company in North of England that is building next-generation intelligent healthcare solutions. They are now looking for an number of AI Agentic Engineer to help design, build, and deploy autonomous AI systems that will directly support clinical and operational decision-making. This is a highly impactful role where you ll be working at the intersection of AI, software engineering, and healthcare innovation - developing agent-based systems that can reason, plan, and act within real-world medical workflows. You ll be joining a forward-thinking engineering team that is scaling rapidly, with a strong focus on responsible AI, performance, and real-world application. What you ll be doing You ll design and develop AI agent systems that can interact with tools, APIs, and data sources to complete complex tasks autonomously. You ll work closely with product and engineering teams to translate clinical and operational requirements into scalable AI-driven solutions, while ensuring safety, reliability, and interpretability are built into everything you deliver. What we re looking for We re looking for engineers with strong experience in AI/ML or software engineering who are excited by agentic AI systems and real-world applications. Key skills and experience include: Strong Python development experience Hands-on experience with LLMs and agent frameworks (e.g. LangChain, LlamaIndex, AutoGen or similar) Understanding of prompt engineering, RAG pipelines, and tool-using AI systems Experience working with APIs, data pipelines, and cloud platforms (AWS, Azure or GCP) Strong software engineering fundamentals (testing, version control, scalable design) Bonus experience: Background in healthcare, life sciences, or regulated environments Experience with AI safety, evaluation, or model monitoring Familiarity with distributed systems or event-driven architectures Location & working style This role is based in Newcastle, with fully remote working available, plus occasional collaboration sessions with the team when required. Why join? This is a rare opportunity to work on cutting-edge AI systems in a mission-driven MedTech environment, where your work will have direct real-world impact. You ll be joining a highly technical team solving meaningful problems with modern AI approaches. Interested? Please Click Apply Now! AI Agentic Engineer (MedTech)
Apr 26, 2026
Full time
AI Agentic Engineer (MedTech) We re partnering with an innovative MedTech company in North of England that is building next-generation intelligent healthcare solutions. They are now looking for an number of AI Agentic Engineer to help design, build, and deploy autonomous AI systems that will directly support clinical and operational decision-making. This is a highly impactful role where you ll be working at the intersection of AI, software engineering, and healthcare innovation - developing agent-based systems that can reason, plan, and act within real-world medical workflows. You ll be joining a forward-thinking engineering team that is scaling rapidly, with a strong focus on responsible AI, performance, and real-world application. What you ll be doing You ll design and develop AI agent systems that can interact with tools, APIs, and data sources to complete complex tasks autonomously. You ll work closely with product and engineering teams to translate clinical and operational requirements into scalable AI-driven solutions, while ensuring safety, reliability, and interpretability are built into everything you deliver. What we re looking for We re looking for engineers with strong experience in AI/ML or software engineering who are excited by agentic AI systems and real-world applications. Key skills and experience include: Strong Python development experience Hands-on experience with LLMs and agent frameworks (e.g. LangChain, LlamaIndex, AutoGen or similar) Understanding of prompt engineering, RAG pipelines, and tool-using AI systems Experience working with APIs, data pipelines, and cloud platforms (AWS, Azure or GCP) Strong software engineering fundamentals (testing, version control, scalable design) Bonus experience: Background in healthcare, life sciences, or regulated environments Experience with AI safety, evaluation, or model monitoring Familiarity with distributed systems or event-driven architectures Location & working style This role is based in Newcastle, with fully remote working available, plus occasional collaboration sessions with the team when required. Why join? This is a rare opportunity to work on cutting-edge AI systems in a mission-driven MedTech environment, where your work will have direct real-world impact. You ll be joining a highly technical team solving meaningful problems with modern AI approaches. Interested? Please Click Apply Now! AI Agentic Engineer (MedTech)
Job Title: Java Fullstack Developer Work Location: Bournemouth, UK (onsite role - 5 days from office) Job Description: Required skills/experience Strong full stack engineering background with deep expertise in Java and Spring/Spring Boot Hands-on experience with cloud technologies (preference for AWS ) Experience using AI-assisted developer tools to improve engineering productivity (preference for agentic AI exposure) Solid data analysis skills and comfort working with data-driven applications Key Responsibilities: Design, develop, and troubleshoot software solutions for complex business and technical problems Apply sound engineering judgment and innovative thinking to deliver solutions beyond standard patterns when needed Contribute to technical architecture and design/build resilient microservices (scalability, reliability, maintainability)
Apr 26, 2026
Full time
Job Title: Java Fullstack Developer Work Location: Bournemouth, UK (onsite role - 5 days from office) Job Description: Required skills/experience Strong full stack engineering background with deep expertise in Java and Spring/Spring Boot Hands-on experience with cloud technologies (preference for AWS ) Experience using AI-assisted developer tools to improve engineering productivity (preference for agentic AI exposure) Solid data analysis skills and comfort working with data-driven applications Key Responsibilities: Design, develop, and troubleshoot software solutions for complex business and technical problems Apply sound engineering judgment and innovative thinking to deliver solutions beyond standard patterns when needed Contribute to technical architecture and design/build resilient microservices (scalability, reliability, maintainability)
Java / Microservices / API design / LLMs / AI / Claude Code / Copilot Role: Senior Software Engineer Company: Financial Services Location: London - Hybrid 3 days per week Salary: up to 120,000 Join a Service Modernisation team driving AI-first software development in financial services. This is a hands-on role modernising high-impact legacy services while building AI-powered engineering workflows. What You'll Do Modernise critical legacy Java services using AI-driven analysis and refactoring Apply migration patterns (e.g. strangler fig) to deliver clean, modern APIs Ship improvements in fast cycles with measurable gains in performance and reliability Build AI-powered tooling, including MCP servers and AI-assisted CI/CD pipelines Demonstrate how AI transforms developer productivity and code quality What We're Looking For 6+ years' backend engineering experience (Java) Proven experience modernising production systems at scale Hands-on use of AI development tools (e.g. Claude Code, GitHub Copilot, LLMs) Experience with MCP, AI automation, or agentic AI systems Strong understanding of microservices and API design Java / Microservices / API design / LLMs / AI / Claude Code / Copilot
Apr 26, 2026
Full time
Java / Microservices / API design / LLMs / AI / Claude Code / Copilot Role: Senior Software Engineer Company: Financial Services Location: London - Hybrid 3 days per week Salary: up to 120,000 Join a Service Modernisation team driving AI-first software development in financial services. This is a hands-on role modernising high-impact legacy services while building AI-powered engineering workflows. What You'll Do Modernise critical legacy Java services using AI-driven analysis and refactoring Apply migration patterns (e.g. strangler fig) to deliver clean, modern APIs Ship improvements in fast cycles with measurable gains in performance and reliability Build AI-powered tooling, including MCP servers and AI-assisted CI/CD pipelines Demonstrate how AI transforms developer productivity and code quality What We're Looking For 6+ years' backend engineering experience (Java) Proven experience modernising production systems at scale Hands-on use of AI development tools (e.g. Claude Code, GitHub Copilot, LLMs) Experience with MCP, AI automation, or agentic AI systems Strong understanding of microservices and API design Java / Microservices / API design / LLMs / AI / Claude Code / Copilot
Job Description Job Location: Belfast Salary: Competitive (based on experience) Level: Accenture will be hiring at Assoc Manager level Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) at the point of application. Note: The above information relates to a specific client requirement. As a team Join Accenture and help transform leading organisations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Accenture Technology powers our clients to achieve high performance. We combine business and industry insights with innovative technology to drive growth for our clients. We extend our technology and business capabilities through a powerful alliance ecosystem of market leaders and innovators to provide our clients the best specialised skills and tailored solutions. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting edge technologies and will have the opportunity to develop a wide range of new skills on the job. The Opportunity Do you lead with both technical depth and delivery excellence? At Accenture Technology, we're looking for an engineering focused Delivery Lead who combines genuine technical credibility with a track record of leading complex programmes and the curiosity to drive teams forward in an AI enabled world. You'll be embedded in real client engagements across our Global Delivery Network - working with some of the world's most ambitious organisations to deliver technology transformation that genuinely matters. You'll bring the confidence to engage in architecture conversations, contribute meaningfully to technical decisions, and inspire engineering teams through a shared understanding of what great delivery looks like. With access to Accenture's unmatched global resources, deep partnerships with the world's leading technology companies, and a culture built on continuous innovation, this is a role for someone who wants to shape the future of engineering delivery - not just manage it. What You'll Do You'll own end to end delivery - accountable for quality, pace, and client confidence from kick off to go live. Here's how that breaks down: Lead Drive delivery of high quality technology transformation programmes, on time and on budget Lead multi functional, geographically distributed engineering teams across the full delivery lifecycle - design, build, test, and deploy Coach and develop your team, creating an environment where AI tooling and modern engineering practices are adopted thoughtfully and with measurable impact Act as a trusted technology delivery partner for clients - bridging the gap between engineering reality and business expectation Plan & Decide Actively contribute to technical decisions - evaluating architectural trade offs, build vs. buy options, and their downstream impact on delivery risk and pace Use AI assisted planning tools to improve estimation accuracy, forecast risks earlier, and drive more data informed sprint and programme decisions Develop and manage end to end delivery plans across Agile, Scaled Agile, Kanban, and Waterfall methodologies Proactively manage Risk, Assumptions, Issues, and Dependencies (RAID) - using AI tooling to surface patterns and predict blockers before they land Lead governance, stakeholder reporting, and budgetary control with clarity and accountability Shape the Future of Engineering Delivery Champion AI enabled delivery practices within your teams - from AI assisted backlog refinement and sprint forecasting to automated status reporting and retrospective insight Stay ahead of where engineering delivery is going - agentic development, AI in the SDLC, DevSecOps, platform engineering - and bring those practices into your programmes Drive a culture of continuous improvement, where teams are empowered to experiment, iterate, and raise the bar on how software is built and shipped Contribute to Accenture's engineering delivery community, sharing what works and influencing practice at scale Qualification Proven track record of successfully leading end to end technology delivery programmes at scale, including budget ownership Strong engineering background - able to actively engage in technical design, architecture, and solution decisions, not just translate between teams Solid experience across Agile (Scrum, Kanban, Scaled Agile/SAFe) and Waterfall delivery methodologies Experienced people leader - able to build, motivate, and develop high performing, cross functional engineering teams Excellent stakeholder management skills - confident engaging senior client and internal leaders on both technical and commercial dimensions Strong organisational skills, able to manage multiple priorities and workstreams simultaneously Hands on user of AI enabled delivery tooling who actively champions adoption across their teams - able to speak concretely to how it has changed the way you plan, report, and lead AI Enabled Engineering Leadership (Essential at CL8) Practical experience using AI tools to improve delivery outcomes - e.g. AI assisted risk identification, sprint forecasting, reporting automation, or retrospective analysis Ability to coach teams on responsible and effective use of AI in a delivery context, maintaining human judgement and accountability on high stakes decisions Awareness of AI's evolving role in the SDLC - from AI assisted code generation and testing through to agentic workflows and autonomous delivery tooling Understanding of where AI adds genuine value in engineering delivery - and where human oversight remains essential Set Yourself Apart Proven ability to manage complex multi vendor or multi team delivery environments Experience influencing senior stakeholders and navigating organisational complexity Demonstrable knowledge of modern engineering practices - DevSecOps, SRE, platform engineering, modern architecture Relevant Cloud and Delivery certifications (e.g. SAFe, AWS, PMP, Prince2) Strong Technical and Emotional Quotient - able to hold both the engineering depth and the human dimensions of delivery What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 25 days of vacation per year, access to app based fitness classes and discounts on a range of gyms, private medical insurance and three days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role to deliver the first class services we are known for. Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
Apr 25, 2026
Full time
Job Description Job Location: Belfast Salary: Competitive (based on experience) Level: Accenture will be hiring at Assoc Manager level Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) at the point of application. Note: The above information relates to a specific client requirement. As a team Join Accenture and help transform leading organisations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Accenture Technology powers our clients to achieve high performance. We combine business and industry insights with innovative technology to drive growth for our clients. We extend our technology and business capabilities through a powerful alliance ecosystem of market leaders and innovators to provide our clients the best specialised skills and tailored solutions. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting edge technologies and will have the opportunity to develop a wide range of new skills on the job. The Opportunity Do you lead with both technical depth and delivery excellence? At Accenture Technology, we're looking for an engineering focused Delivery Lead who combines genuine technical credibility with a track record of leading complex programmes and the curiosity to drive teams forward in an AI enabled world. You'll be embedded in real client engagements across our Global Delivery Network - working with some of the world's most ambitious organisations to deliver technology transformation that genuinely matters. You'll bring the confidence to engage in architecture conversations, contribute meaningfully to technical decisions, and inspire engineering teams through a shared understanding of what great delivery looks like. With access to Accenture's unmatched global resources, deep partnerships with the world's leading technology companies, and a culture built on continuous innovation, this is a role for someone who wants to shape the future of engineering delivery - not just manage it. What You'll Do You'll own end to end delivery - accountable for quality, pace, and client confidence from kick off to go live. Here's how that breaks down: Lead Drive delivery of high quality technology transformation programmes, on time and on budget Lead multi functional, geographically distributed engineering teams across the full delivery lifecycle - design, build, test, and deploy Coach and develop your team, creating an environment where AI tooling and modern engineering practices are adopted thoughtfully and with measurable impact Act as a trusted technology delivery partner for clients - bridging the gap between engineering reality and business expectation Plan & Decide Actively contribute to technical decisions - evaluating architectural trade offs, build vs. buy options, and their downstream impact on delivery risk and pace Use AI assisted planning tools to improve estimation accuracy, forecast risks earlier, and drive more data informed sprint and programme decisions Develop and manage end to end delivery plans across Agile, Scaled Agile, Kanban, and Waterfall methodologies Proactively manage Risk, Assumptions, Issues, and Dependencies (RAID) - using AI tooling to surface patterns and predict blockers before they land Lead governance, stakeholder reporting, and budgetary control with clarity and accountability Shape the Future of Engineering Delivery Champion AI enabled delivery practices within your teams - from AI assisted backlog refinement and sprint forecasting to automated status reporting and retrospective insight Stay ahead of where engineering delivery is going - agentic development, AI in the SDLC, DevSecOps, platform engineering - and bring those practices into your programmes Drive a culture of continuous improvement, where teams are empowered to experiment, iterate, and raise the bar on how software is built and shipped Contribute to Accenture's engineering delivery community, sharing what works and influencing practice at scale Qualification Proven track record of successfully leading end to end technology delivery programmes at scale, including budget ownership Strong engineering background - able to actively engage in technical design, architecture, and solution decisions, not just translate between teams Solid experience across Agile (Scrum, Kanban, Scaled Agile/SAFe) and Waterfall delivery methodologies Experienced people leader - able to build, motivate, and develop high performing, cross functional engineering teams Excellent stakeholder management skills - confident engaging senior client and internal leaders on both technical and commercial dimensions Strong organisational skills, able to manage multiple priorities and workstreams simultaneously Hands on user of AI enabled delivery tooling who actively champions adoption across their teams - able to speak concretely to how it has changed the way you plan, report, and lead AI Enabled Engineering Leadership (Essential at CL8) Practical experience using AI tools to improve delivery outcomes - e.g. AI assisted risk identification, sprint forecasting, reporting automation, or retrospective analysis Ability to coach teams on responsible and effective use of AI in a delivery context, maintaining human judgement and accountability on high stakes decisions Awareness of AI's evolving role in the SDLC - from AI assisted code generation and testing through to agentic workflows and autonomous delivery tooling Understanding of where AI adds genuine value in engineering delivery - and where human oversight remains essential Set Yourself Apart Proven ability to manage complex multi vendor or multi team delivery environments Experience influencing senior stakeholders and navigating organisational complexity Demonstrable knowledge of modern engineering practices - DevSecOps, SRE, platform engineering, modern architecture Relevant Cloud and Delivery certifications (e.g. SAFe, AWS, PMP, Prince2) Strong Technical and Emotional Quotient - able to hold both the engineering depth and the human dimensions of delivery What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 25 days of vacation per year, access to app based fitness classes and discounts on a range of gyms, private medical insurance and three days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role to deliver the first class services we are known for. Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
Adria Solutions Ltd
Newcastle Upon Tyne, Tyne And Wear
Agentic Software Engineer Our client is a UK-based organisation operating in the medtech industry, with a team of around 200 people. They design and manufacture bespoke solutions that improve patients quality of life. They are investing significantly in technology and automation to support their next phase of growth. A key initiative is the development of a new digital platform that connects prescription workflows, manufacturing processes, and patient outcomes into a single integrated system. The role This is a hands-on lead role suited to someone who works agentically- using AI systems to plan, scaffold, and deliver complex development tasks, while applying strong engineering judgement to review and refine outputs. As the first dedicated developer on this platform, you will work closely with senior leadership from initial concept through to production delivery, playing a central role in shaping both the system and the future team. Our client is looking for someone entrepreneurial and highly proactive, who is comfortable engaging directly with clinicians and operational teams to understand real-world problems before building solutions. Key responsibilities: Direct AI coding agents across complex, multi-step development tasks, structuring context and taking full ownership of outputs Translate requirements, user journeys, and wireframes into working software Develop across the full stack: front-end interfaces, APIs, data models, and integrations Contribute to architectural decisions (data models, authentication, hosting, security) using senior-level judgement Maintain strong version control and deployment practices (Git, branching, code review, CI/CD) Work closely with clinical, operational, and manufacturing teams to inform product development Support the growth and shaping of the technical team over time Planned technology stack: Front-end: React + TypeScript, Tailwind CSS, shadcn/ui Mobile: Capacitor (shared codebase across web and mobile) Offline capability: Progressive Web App (PWA) Backend: Node.js with a single API and multiple front-end clients Database: PostgreSQL Hosting: AWS or Azure with infrastructure-as-code CI/CD: GitHub Actions with per-PR environments Deployment: Docker-based containerisation Authentication: Auth0 or Clerk (TBC) What our client is looking for: Strong full-stack development experience (React, TypeScript, Node.js) Experience designing REST APIs and working with relational databases (e.g. PostgreSQL) Practical cloud experience (AWS or Azure), including deployment and CI/CD pipelines Proven ability to work in an agentic way with AI development tools structuring problems and critically evaluating outputs Strong understanding of authentication, authorisation, data modelling, security, and edge cases Excellent communication skills, with the ability to engage both technical and non-technical stakeholders A self-driven, entrepreneurial mindset, comfortable working autonomously within a small, high-impact team What s on offer: Scope to shape a growing platform and team 25 days annual leave plus bank holidays Company pension scheme Flexible hybrid working Budget for AI tooling and productivity tools Interested? Please Click Apply Now We are particularly interested in hearing about: Projects delivered using AI-assisted development workflows Tools you use regularly How your development approach has evolved alongside AI advancements Agentic Software Engineer
Apr 25, 2026
Full time
Agentic Software Engineer Our client is a UK-based organisation operating in the medtech industry, with a team of around 200 people. They design and manufacture bespoke solutions that improve patients quality of life. They are investing significantly in technology and automation to support their next phase of growth. A key initiative is the development of a new digital platform that connects prescription workflows, manufacturing processes, and patient outcomes into a single integrated system. The role This is a hands-on lead role suited to someone who works agentically- using AI systems to plan, scaffold, and deliver complex development tasks, while applying strong engineering judgement to review and refine outputs. As the first dedicated developer on this platform, you will work closely with senior leadership from initial concept through to production delivery, playing a central role in shaping both the system and the future team. Our client is looking for someone entrepreneurial and highly proactive, who is comfortable engaging directly with clinicians and operational teams to understand real-world problems before building solutions. Key responsibilities: Direct AI coding agents across complex, multi-step development tasks, structuring context and taking full ownership of outputs Translate requirements, user journeys, and wireframes into working software Develop across the full stack: front-end interfaces, APIs, data models, and integrations Contribute to architectural decisions (data models, authentication, hosting, security) using senior-level judgement Maintain strong version control and deployment practices (Git, branching, code review, CI/CD) Work closely with clinical, operational, and manufacturing teams to inform product development Support the growth and shaping of the technical team over time Planned technology stack: Front-end: React + TypeScript, Tailwind CSS, shadcn/ui Mobile: Capacitor (shared codebase across web and mobile) Offline capability: Progressive Web App (PWA) Backend: Node.js with a single API and multiple front-end clients Database: PostgreSQL Hosting: AWS or Azure with infrastructure-as-code CI/CD: GitHub Actions with per-PR environments Deployment: Docker-based containerisation Authentication: Auth0 or Clerk (TBC) What our client is looking for: Strong full-stack development experience (React, TypeScript, Node.js) Experience designing REST APIs and working with relational databases (e.g. PostgreSQL) Practical cloud experience (AWS or Azure), including deployment and CI/CD pipelines Proven ability to work in an agentic way with AI development tools structuring problems and critically evaluating outputs Strong understanding of authentication, authorisation, data modelling, security, and edge cases Excellent communication skills, with the ability to engage both technical and non-technical stakeholders A self-driven, entrepreneurial mindset, comfortable working autonomously within a small, high-impact team What s on offer: Scope to shape a growing platform and team 25 days annual leave plus bank holidays Company pension scheme Flexible hybrid working Budget for AI tooling and productivity tools Interested? Please Click Apply Now We are particularly interested in hearing about: Projects delivered using AI-assisted development workflows Tools you use regularly How your development approach has evolved alongside AI advancements Agentic Software Engineer
Agentic Software Engineer Our client is a UK-based organisation operating in the medtech industry, with a team of around 200 people. They design and manufacture bespoke solutions that improve patients quality of life. They are investing significantly in technology and automation to support their next phase of growth. A key initiative is the development of a new digital platform that connects prescription workflows, manufacturing processes, and patient outcomes into a single integrated system. The role This is a hands-on lead role suited to someone who works agentically- using AI systems to plan, scaffold, and deliver complex development tasks, while applying strong engineering judgement to review and refine outputs. As the first dedicated developer on this platform, you will work closely with senior leadership from initial concept through to production delivery, playing a central role in shaping both the system and the future team. Our client is looking for someone entrepreneurial and highly proactive, who is comfortable engaging directly with clinicians and operational teams to understand real-world problems before building solutions. Key responsibilities: Direct AI coding agents across complex, multi-step development tasks, structuring context and taking full ownership of outputs Translate requirements, user journeys, and wireframes into working software Develop across the full stack: front-end interfaces, APIs, data models, and integrations Contribute to architectural decisions (data models, authentication, hosting, security) using senior-level judgement Maintain strong version control and deployment practices (Git, branching, code review, CI/CD) Work closely with clinical, operational, and manufacturing teams to inform product development Support the growth and shaping of the technical team over time Planned technology stack: Front-end: React + TypeScript, Tailwind CSS, shadcn/ui Mobile: Capacitor (shared codebase across web and mobile) Offline capability: Progressive Web App (PWA) Backend: Node.js with a single API and multiple front-end clients Database: PostgreSQL Hosting: AWS or Azure with infrastructure-as-code CI/CD: GitHub Actions with per-PR environments Deployment: Docker-based containerisation Authentication: Auth0 or Clerk (TBC) What our client is looking for: Strong full-stack development experience (React, TypeScript, Node.js) Experience designing REST APIs and working with relational databases (e.g. PostgreSQL) Practical cloud experience (AWS or Azure), including deployment and CI/CD pipelines Proven ability to work in an agentic way with AI development tools structuring problems and critically evaluating outputs Strong understanding of authentication, authorisation, data modelling, security, and edge cases Excellent communication skills, with the ability to engage both technical and non-technical stakeholders A self-driven, entrepreneurial mindset, comfortable working autonomously within a small, high-impact team What s on offer: Scope to shape a growing platform and team 25 days annual leave plus bank holidays Company pension scheme Flexible hybrid working Budget for AI tooling and productivity tools Interested? Please Click Apply Now We are particularly interested in hearing about: Projects delivered using AI-assisted development workflows Tools you use regularly How your development approach has evolved alongside AI advancements Agentic Software Engineer
Apr 25, 2026
Full time
Agentic Software Engineer Our client is a UK-based organisation operating in the medtech industry, with a team of around 200 people. They design and manufacture bespoke solutions that improve patients quality of life. They are investing significantly in technology and automation to support their next phase of growth. A key initiative is the development of a new digital platform that connects prescription workflows, manufacturing processes, and patient outcomes into a single integrated system. The role This is a hands-on lead role suited to someone who works agentically- using AI systems to plan, scaffold, and deliver complex development tasks, while applying strong engineering judgement to review and refine outputs. As the first dedicated developer on this platform, you will work closely with senior leadership from initial concept through to production delivery, playing a central role in shaping both the system and the future team. Our client is looking for someone entrepreneurial and highly proactive, who is comfortable engaging directly with clinicians and operational teams to understand real-world problems before building solutions. Key responsibilities: Direct AI coding agents across complex, multi-step development tasks, structuring context and taking full ownership of outputs Translate requirements, user journeys, and wireframes into working software Develop across the full stack: front-end interfaces, APIs, data models, and integrations Contribute to architectural decisions (data models, authentication, hosting, security) using senior-level judgement Maintain strong version control and deployment practices (Git, branching, code review, CI/CD) Work closely with clinical, operational, and manufacturing teams to inform product development Support the growth and shaping of the technical team over time Planned technology stack: Front-end: React + TypeScript, Tailwind CSS, shadcn/ui Mobile: Capacitor (shared codebase across web and mobile) Offline capability: Progressive Web App (PWA) Backend: Node.js with a single API and multiple front-end clients Database: PostgreSQL Hosting: AWS or Azure with infrastructure-as-code CI/CD: GitHub Actions with per-PR environments Deployment: Docker-based containerisation Authentication: Auth0 or Clerk (TBC) What our client is looking for: Strong full-stack development experience (React, TypeScript, Node.js) Experience designing REST APIs and working with relational databases (e.g. PostgreSQL) Practical cloud experience (AWS or Azure), including deployment and CI/CD pipelines Proven ability to work in an agentic way with AI development tools structuring problems and critically evaluating outputs Strong understanding of authentication, authorisation, data modelling, security, and edge cases Excellent communication skills, with the ability to engage both technical and non-technical stakeholders A self-driven, entrepreneurial mindset, comfortable working autonomously within a small, high-impact team What s on offer: Scope to shape a growing platform and team 25 days annual leave plus bank holidays Company pension scheme Flexible hybrid working Budget for AI tooling and productivity tools Interested? Please Click Apply Now We are particularly interested in hearing about: Projects delivered using AI-assisted development workflows Tools you use regularly How your development approach has evolved alongside AI advancements Agentic Software Engineer
Job Title: Senior Agentic AI Engineer Location: Hertfordshire Salary: up to 120,000 DOE This is a unique opportunity for an experienced AI engineer to join a specialised team in virtual design for a wide range of clients, powering autonomous AI driven simulation within Unity. If you have a strong background in AR/VR integrating with the latest LLMs, this role was written for you. The Role Design, build, and deploy autonomous AI agents within Unity-based virtual environments, This is a hands-on engineering role with significant ownership and influence over how AI shapes the future of virtual design. Requirements - 5+ years of software engineering experience - Expert in Unity development (C#) - Experience building agentic AI systems - Intrest in AR/VR If this role is of interest, please apply below.
Apr 25, 2026
Full time
Job Title: Senior Agentic AI Engineer Location: Hertfordshire Salary: up to 120,000 DOE This is a unique opportunity for an experienced AI engineer to join a specialised team in virtual design for a wide range of clients, powering autonomous AI driven simulation within Unity. If you have a strong background in AR/VR integrating with the latest LLMs, this role was written for you. The Role Design, build, and deploy autonomous AI agents within Unity-based virtual environments, This is a hands-on engineering role with significant ownership and influence over how AI shapes the future of virtual design. Requirements - 5+ years of software engineering experience - Expert in Unity development (C#) - Experience building agentic AI systems - Intrest in AR/VR If this role is of interest, please apply below.
Career Choices Dewis Gyrfa Ltd
Manchester, Lancashire
Join us as a Software Engineer, AI This is an opportunity for a driven Software Engineer, AI to take on an exciting new career challenge Day-to-day, you'll be engineering and maintaining innovative, customer centric, high performance, secure and robust solutions It's a chance to hone your existing technical skills and advance your career while building a wide network of stakeholders What you'll do In your new role, you'll be working within a feature team to engineer software, scripts and tools, as well as liaising with other engineers, architects and business analysts across the platform. You'll also be: Producing complex and critical software rapidly and of high quality which adds value to the business Working in permanent teams who are responsible for the full life cycle, from initial development, through enhancement and maintenance to replacement or decommissioning Collaborating to optimise our software engineering capability Designing, producing, testing and implementing our working software solutions Working across the life cycle, from requirements analysis and design, through coding to testing, deployment and operations The skills you'll need To take on this role, you'll need a background in software engineering, software design, and architecture, and an understanding of how your area of expertise supports our customers. You'll also need: Experience of working with multiple programming languages including Python and Web Development, such as NodeJS Expertise in cloud platforms such as AWS, along with Dev Ops and CI/CD Experience of problem solving, building to requirements and testing for both production and fast innovative proof of concepts Expertise in Data Science, Generative AI, ML and LLMs, having RAG and Agentic experience would be beneficial Proficient in implementing programming best practice, especially around scalability, automation, virtualisation, optimisation, availability and performance
Apr 25, 2026
Full time
Join us as a Software Engineer, AI This is an opportunity for a driven Software Engineer, AI to take on an exciting new career challenge Day-to-day, you'll be engineering and maintaining innovative, customer centric, high performance, secure and robust solutions It's a chance to hone your existing technical skills and advance your career while building a wide network of stakeholders What you'll do In your new role, you'll be working within a feature team to engineer software, scripts and tools, as well as liaising with other engineers, architects and business analysts across the platform. You'll also be: Producing complex and critical software rapidly and of high quality which adds value to the business Working in permanent teams who are responsible for the full life cycle, from initial development, through enhancement and maintenance to replacement or decommissioning Collaborating to optimise our software engineering capability Designing, producing, testing and implementing our working software solutions Working across the life cycle, from requirements analysis and design, through coding to testing, deployment and operations The skills you'll need To take on this role, you'll need a background in software engineering, software design, and architecture, and an understanding of how your area of expertise supports our customers. You'll also need: Experience of working with multiple programming languages including Python and Web Development, such as NodeJS Expertise in cloud platforms such as AWS, along with Dev Ops and CI/CD Experience of problem solving, building to requirements and testing for both production and fast innovative proof of concepts Expertise in Data Science, Generative AI, ML and LLMs, having RAG and Agentic experience would be beneficial Proficient in implementing programming best practice, especially around scalability, automation, virtualisation, optimisation, availability and performance
