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Senior Machine Learning Engineer page is loaded Senior Machine Learning Engineerlocations: Welwyntime type: Full timeposted on: Posted Todayjob requisition id: 42At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The PositionAs a machine learning engineer in AI Enablement, you will be working closely with folks that span across Computational Scientists, Research Scientists, AI/ML experts, Product leaders, DevOps, and everyone in between. You'll build, own, and constantly improve scalable AI/ML based systems that unlock the potential of our diverse scientific data, accelerating the discovery and development of life-changing treatments for patients. Design, develop, and test robust, scalable, and maintainable AI/ML facing scientific web applications and backend systems. Build tools to evaluate AI/ML model performance and establish new ways to understand AI quality. Partner with product managers and scientists to understand user needs, shape requirements, and translate them into actionable technical specifications. Develop and maintain systems for collecting, structuring, and storing diverse scientific data that support advanced analytics, machine learning, and other data-driven initiatives. Implement, adopt, or evaluate new AI/ML algorithms and analytical techniques Contribute to architectural decisions, code reviews, and the evolution of our development processes. Be willing to span the stack and contribute where needed, even outside of your core area of expertise. Stay up-to-date with emerging technologies and industry best practices and adopt a culture of continuous learning, collaboration, and curiosity. Who You Are: Master's or Ph.D. in Computer Science or similar technical field, or equivalent experience Established professional experience in machine learning engineering roles. Strong proficiency with AI/ML frameworks, libraries, and toolsets. Expert knowledge of statistics, machine learning theory, and algorithms. Strong knowledge of ML performance optimization, GPU best practices. Experience with kubernetes, relational databases, NoSQL databases, or data lakes, and experience working on cloud-native architectures in public clouds (ideally AWS). Proven understanding and application of engineering best practices. Excellent communication skills and ability to build trusted partnerships with internal and external collaborators. Ability to quickly acquire new technologies and programming languages and a passion for continuous learning. Preferred But Not Required: Experience with imaging or biological data and processes is a strong plus. Experience working with scientists or in a research environment is advantageous. Experience with workflow automation, GenAI, and/or agents is a plus. Who We Are We advance science so that we all have more time with the people we love.A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That's what makes us Roche.Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche's Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.Within the CoE organisation, the Data and Digital Catalyst (DDC) organisation drives the modernisation of our computational and data ecosystems and integration of digital technologies across Research and Early Development to enable our stakeholders, power data-driven science and accelerate decision-making.The Engineering - AI Enablement group within DDC is accountable for enabling AI! We do this across the board with our scientific and computational partners based on their goals. We help embed our AI strategy across our research organizations by providing employees with the tools and support needed to adopt AI into our daily work-helping us work smarter and enhancing our day-to-day work. We also build and deploy AI based solutions that reshape and transform business processes in order to unlock value at scale and optimize workflows. We also work on scaling up model training and inference, evaluating the quality of AI/ML models and output, and building impactful applications which accelerate the scientists doing the critical work of drug discovery and development. Partnering with colleagues to build, deploy and evolve a modern tech stack and utilities to enable our AI/ML and agentic efforts will be a key foundation to our success. Our aim is for everyone who can benefit from AI/ML to be able to leverage that utility where and when they need it, from data analysis to literature search to documentation writing. We are aiming for AI/ML to be an everyday utility. The team is cross-functional, impact driven, independent, and constantly evolving to meet the scientific needs.Additional Information: This position requires onsite work 3 days per week No relocation support Who we areA healthier future drives us to innovate. Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.Let's build a healthier future, together.The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognise the importance of flexible working and will review all applicants' requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work.

Data Architecture Associate Manager Location:Birmingham Salary: Competitive salary package depending on experience Career Level: (We're currently recruiting at the following levels - Associate Manager) Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us." -Julie Sweet, Accenture CEO As a team: We have an exciting opportunity for a Data Architecture Associate Manager to join our Data & AI practice. We deliver scalable, business-critical and end-to-end data solutions for our clients - from data strategy/governance to Core Engineering, enabling them to transform and work in Cloud Technologies. The Data Architecture Practice at Accenture's mission is to define and own Data Architecture vision for our clients, providing architecture enablers for innovative data and AI capabilities driving multiplier value for the business. We design and architect modern data platforms and automate cloud data migration to help clients scale AI for digital core and explore new data driven business opportunities. We're differentiating through our ability to architect solutions using proven design patterns and reusable architecture assets. You'll learn, grow and advance in an innovative culture thatthrives on shared success, diverse ways of thinking and enables boundaryless opportunitiesthat candrive 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 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. In our team you will: Work on a variety of challenging and innovative projects Work at the forefront of the AI revolution, building cutting edge innovative solutions for some of the world's biggest organisations Gain exposure to new and emergent technologies Have support from a variety of experienced team members within the wider Architecture practice, to support you in your independent growth journey into the world of Architecture best practice Partner with a variety of highly skilled teams to advise and support our clients through their data architecture related challenges As a Data Architecture Associate Manager, you will: Assist client teams in the design and implementation of scalable data solutions using modern technologies, under the guidance of senior team members. Help identify gaps and inefficiencies in clients' existing architecture, working closely with senior colleagues to support analysis and solution development. Help shape strategy and roadmaps for improving client AI and Data architectures Provide ongoing architectural support for delivery teams, ensuring solutions are technically sound, scalable, and aligned with agreed architecture principles throughout the delivery lifecycle. Participate in client workshops throughout the project lifecycle, assisting with preparation, documentation, and follow-up actions. Communicate with clients to gather requirements and ensure project deliverables align with their needs, with support from senior team members. Contribute to architectural thought leadership by sharing ideas on innovation, emerging technologies, and modern data and AI architecture patterns across client and internal forums Learn from and collaborate with more experienced colleagues, seeking opportunities to enhance your skills and knowledge through mentorship and training. Engage with internal networks and special interest groups, participating in discussions and activities to build your professional expertise within Architecture. Lead and mentor junior architects, providing guidance on architectural patterns, standards, and best practices while supporting their professional development. Drive innovation in data and AI architecture by prototyping new technologies and developing proofs of concept to validate ideas and inform client and internal recommendations. Establish and maintain strong relationships with client architecture and technology stakeholders, acting as a trusted advisor to ensure alignment between client objectives, architectural direction, and delivery outcomes. We are looking for experience in the following skills: A strategic thinker, with an analytical and creative mindset. Experience building AI-enabled data architecture Commercial experience in one or more major cloud platform(s) (AWS, GCP, Azure), preferably with relevant certifications. Competency around AI / Agentic AI A background working in software development, data engineering or data science, with a desire to transition into the world of AI and Data Architecture. Expertise across key data domains including data modelling, pipelining, governance, and data consumption. Working knowledge with the likes of Databricks, Snowflake, Palantir etc Excellent communication and collaboration skills. Experience working in client facing environments and a proven track record in architecting complex data solutions. Experience leading technical teams, coordinating across project streams to deliver high-quality Data and AI solution What's in it for you At Accenture in addition to a competitive basic salary, you will alsohave an extensive benefits package which includes 25 days vacation, gym subsidy, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services we are known for. Application for this role will close on 28/02/26. Accenture reserves the right to close the role prior to this date should a suitable applicant be found.

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 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. About the AI Platform team At hx, AI agents are becoming embedded across every team and product. The AI Platform team exists to make that happen safely and at scale. We own the shared building blocks that enable any technology team at hx to build, ship, and operate AI agents quickly, safely, and consistently. We build the platform, not the agents. The reusable foundations that agent building teams depend on are: observability for end to end tracing, cost tracking, and visibility across all AI usage; gateways for unified LLM access and centralised tool routing; governance for agent identity, authorisation, cost controls, and audit logging; and developer experience through SDKs, documentation, and patterns that make spinning up a production grade agent fast and consistent. We are a small, high ownership team that moves fast and builds for adoption. We measure success not by what we ship, but by what other teams can build because of what we ship. What you'll be doing Observability & Evaluation: Building and evolving the platform that gives hx end to end visibility into AI agent behaviour and quality, including tracing, cost tracking, usage dashboards, and shared evaluation infrastructure that helps teams measure and improve agent performance. Composition: Designing and operating the infrastructure that connects agents to LLMs and tools - unified proxies, centralised tool routing, discovery, and access governance so agent building teams don't have to solve these problems individually. Governance: Defining and implementing the identity, authorisation, and policy layer for AI agents - scoped credentials, per tool permissions, audit logging, cost controls, and trust boundary patterns that let agents operate safely as they scale. Developer experience: Shaping the tools, SDKs, documentation, and patterns that make it fast for any team to go from zero to a production grade agent on the platform. Adoption: Driving adoption of shared platform services across technology teams, replacing bespoke per agent integrations with consistent, well documented capabilities. Measuring impact and iterating based on what teams actually need. What you'll need to have done Built and operated platform infrastructure used by multiple teams - API gateways, proxies, observability systems, CI/CD pipelines, cloud infrastructure, or developer platforms where adoption and reliability were your responsibility. Delivered developer facing tools, SDKs, or APIs that other engineers relied on daily, with a strong focus on usability, documentation, and developer experience. Worked with modern AI infrastructure - LLM integrations, agent frameworks, or AI related tooling. You don't need to be an ML researcher, but you should have hands on experience building with AI in production, meaningful side projects, or open source, and be comfortable navigating the AI tooling landscape. Operated systems with governance, security, or compliance requirements - identity models, access control, audit logging, or similar concerns where getting it wrong has real consequences. Successfully driven adoption of shared services across engineering teams, replacing fragmented, team specific solutions with consistent platform capabilities, and measuring the impact. Taken full ownership of initiatives end to end - from scoping and planning through to building, driving adoption, and validating success with data. Not just shipping code, but ensuring it lands. We're hiring at both mid (IC2) and senior (IC3) levels. If you've done some but not all of the above, we'd still like to hear from you. You're unlikely to thrive here if You wait for detailed specifications before acting. This team operates in a fast moving, ambiguous space. We scope problems, make decisions, and iterate. If you need everything defined upfront, you'll find it frustrating. You prefer to work in a silo. We are a platform team. Our work only succeeds when other teams adopt it. That means constant collaboration, stakeholder engagement, and genuine interest in making other engineers more productive. You see shipping code as the finish line. Here, delivery means adoption. You'll be expected to own the full lifecycle - build it, document it, drive adoption, measure impact, and iterate. You're not energized by ownership and visibility. Every member of this team leads initiatives, communicates progress transparently, and represents their work to stakeholders. If you prefer to stay heads down and let others handle the context setting, this isn't the right fit. 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. 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. Our commitment to Diversity hxers 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 recognize 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.

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 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. About the AI Platform team At hx, AI agents are becoming embedded across every team and product. The AI Platform team exists to make that happen safely and at scale. We own the shared building blocks that enable any technology team at hx to build, ship, and operate AI agents quickly, safely, and consistently. We build the platform, not the agents. The reusable foundations that agent building teams depend on are: observability for end to end tracing, cost tracking, and visibility across all AI usage; gateways for unified LLM access and centralised tool routing; governance for agent identity, authorisation, cost controls, and audit logging; and developer experience through SDKs, documentation, and patterns that make spinning up a production grade agent fast and consistent. We are a small, high ownership team that moves fast and builds for adoption. We measure success not by what we ship, but by what other teams can build because of what we ship. What you'll be doing Observability & Evaluation: Building and evolving the platform that gives hx end to end visibility into AI agent behaviour and quality, including tracing, cost tracking, usage dashboards, and shared evaluation infrastructure that helps teams measure and improve agent performance. Composition: Designing and operating the infrastructure that connects agents to LLMs and tools - unified proxies, centralised tool routing, discovery, and access governance so agent building teams don't have to solve these problems individually. Governance: Defining and implementing the identity, authorisation, and policy layer for AI agents - scoped credentials, per tool permissions, audit logging, cost controls, and trust boundary patterns that let agents operate safely as they scale. Developer experience: Shaping the tools, SDKs, documentation, and patterns that make it fast for any team to go from zero to a production grade agent on the platform. Adoption: Driving adoption of shared platform services across technology teams, replacing bespoke per agent integrations with consistent, well documented capabilities. Measuring impact and iterating based on what teams actually need. What you'll need to have done Built and operated platform infrastructure used by multiple teams - API gateways, proxies, observability systems, CI/CD pipelines, cloud infrastructure, or developer platforms where adoption and reliability were your responsibility. Delivered developer facing tools, SDKs, or APIs that other engineers relied on daily, with a strong focus on usability, documentation, and developer experience. Worked with modern AI infrastructure - LLM integrations, agent frameworks, or AI related tooling. You don't need to be an ML researcher, but you should have hands on experience building with AI in production, meaningful side projects, or open source, and be comfortable navigating the AI tooling landscape. Operated systems with governance, security, or compliance requirements - identity models, access control, audit logging, or similar concerns where getting it wrong has real consequences. Successfully driven adoption of shared services across engineering teams, replacing fragmented, team specific solutions with consistent platform capabilities, and measuring the impact. Taken full ownership of initiatives end to end - from scoping and planning through to building, driving adoption, and validating success with data. Not just shipping code, but ensuring it lands. We're hiring at both mid (IC2) and senior (IC3) levels. If you've done some but not all of the above, we'd still like to hear from you. You're unlikely to thrive here if You wait for detailed specifications before acting. This team operates in a fast moving, ambiguous space. We scope problems, make decisions, and iterate. If you need everything defined upfront, you'll find it frustrating. You prefer to work in a silo. We are a platform team. Our work only succeeds when other teams adopt it. That means constant collaboration, stakeholder engagement, and genuine interest in making other engineers more productive. You see shipping code as the finish line. Here, delivery means adoption. You'll be expected to own the full lifecycle - build it, document it, drive adoption, measure impact, and iterate. You're not energized by ownership and visibility. Every member of this team leads initiatives, communicates progress transparently, and represents their work to stakeholders. If you prefer to stay heads down and let others handle the context setting, this isn't the right fit. 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. 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. Our commitment to Diversity hxers 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 recognize 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.

StrideUpis leading a new era of values-driven finance. Ranked the 5th fastest growing fintech in the UK and Ireland in 2025, we have already deployed hundreds of millions in property finance, supporting people in achieving their financial goals. What makes us different is how we combine purpose with performance. We began with home finance, creating a shariah-compliant alternative trusted by the Muslim community and welcomed by anyone seeking fairer, more transparent products. This product-market fit has powered our growth, and is only the beginning. Our vision is bigger; to expand our offering and build a financial institution that opens doors for communities often left behind. Joining StrideUp means being part of a high-performing, values-driven team at the most exciting point in our journey. We have proven success behind us and a huge opportunity ahead, and now we are ready to build beyond. Are you? StrideUpis backed by leading VC and private equity investors, having raised over £35m in funding. The Role This is a high-impact individual contributor role at StrideUp, reporting into our Engineering Manager. You will be a key member of the engineering function, playing a critical role in building the systems that power our mission. A central part of this role is the intelligent use of technology to raise product quality and development velocity. We are looking for an engineer who is highly motivated and driven to improve the efficiency of our delivery. We believe the key to scaling is using technology more intelligently, you will be our internal expert on how we leverage the latest advancements to stay ahead. This is not a management role, but it is a role of immense influence. You will be at the cutting edge of code production, championing the adoption of AI-supported development and automation where applicable. You aren't just a user of these tools, you have a high level of awareness regarding the benefits and risks of agentic tooling, ensuring we innovate safely and effectively. What You'll Do Act as a high-impact IC, delivering clean, maintainable, and robust code across our entire stack to support our ethical finance platform. Drive the efficiency of our delivery by identifying bottlenecks and implementing automation or AI-supported workflows to streamline the path from idea to production. Champion and implement the adoption of AI-supported development tools, evaluating their efficacy and ensuring the team understands both the productivity gains and the security/quality risks. Collaborate closely with Product and Leadership to translate commercial objectives into technically sound, deliverable plans that maintain our high standards for quality. Set and uphold engineering standards across code quality, testing, CI/CD, and architecture, acting as a beacon for technical excellence within the team. Step in on the most challenging deliveries, providing the technical "heavy lifting" required to solve complex architectural or performance issues. You Are Highly Motivated & Driven - You have an internal engine for improvement. You aren't satisfied with "good enough" and are constantly looking for ways to make our delivery faster and our code higher quality. A Technical Pioneer - You stay at the cutting edge of how software is built today, particularly in how AI can augment the development lifecycle. Pragmatic - You understand the trade offs between speed and perfection. You make sound decisions under uncertainty and know how to manage technical risk. Self aware - You understand your strengths, know when to dive deep, and reflect honestly on your own performance and the system's health. Communicative & Nuanced - You can explain complex technical choices-and the risks/benefits of new tools like AI-to both technical and non technical stakeholders. Trustworthy & Collaborative - You feel a genuine shared responsibility for the success of the whole business, ensuring our technology directly enables ethical financial outcomes. Requirements Proven Technical Depth: Strong experience with JavaScript/TypeScript and Java/Kotlin, NestJS, React, and PostgreSQL or MongoDB. Infrastructure Fluency: Hands on experience with AWS, Docker, Terraform, and modern CI/CD pipelines. AI Supported Development: A deep, practical understanding of how to use AI and automation to accelerate code production, with a clear eyed view of the associated risks (security, hallucinations, maintainability). Quality Obsession: A track record of significantly improving the quality and velocity of delivery in a fast paced environment. Commercially Minded: Ability to connect technical choices to business outcomes, specifically within the context of ethical finance and regulated environments. Bonus Previous experience in FinTech, the lending industry, and/or an FCA regulated firm. Experience with complex financial ledger systems. Benefits Salary: Competitive, based on experience Discretionary annual bonus 25 days annual holiday Health insurance Life insurance 3% pension contribution Monthly socials Central London location Friendly and informal startup environment with a focus on performance and impact Equal Opportunity Employer StrideUp is an equal opportunity employer and is committed to promoting diversity and inclusion in the workplace. We celebrate the diversity of our team and encourage applications from all individuals, regardless of race, ethnicity, religion, gender, gender identity or expression, sexual orientation, disability, age, marital status, pregnancy, or any other characteristic. We welcome applicants from all backgrounds and look forward to seeing how you can contribute to our mission.

Client-facing R&D Generative AI Architect Trending Job Info Job Identification 11937 Posting Date 03/26/2026, 11:20 AM Job Role AI Engineer-AI Solutions Architect Experience (In Years) 6-9 Job Location London Job Description EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world's leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 60,000 employees spanning six continents. For more information, visit . Role Title: Client-facing R&D Generative AI Architect BU/Segment: Digital Location: London, United Kingdom (Flexible hybrid working) Employment Type: Permanent Summary of the role We are seeking a visionary and technically adept Assistant Vice President (AVP) in EXL's AI Innovation & R&D team to spearhead our innovative client-facing initiatives in the rapidly evolving fields of Generative and Agentic AI. This high-impact, senior consulting role requires a unique blend of deep technical expertise in AI solutioning and deployment, Fortune 500 client stakeholder management skills, and the ability to drive thought leadership. You will be instrumental in advising Insurance, Healthcare, and Banking clients, designing cutting-edge AI solutions, leading complex implementations, and shaping EXL's strategy and market presence in Generative and Agentic AI. You will collaborate closely with data science, technology, business development, and client teams to identify opportunities, architect robust solutions, and deliver transformative results. As part of your duties, you will be responsible for: AI Architecture Innovation Research & Design: Focus on new innovative methods of designing and architecting AI and GenAI systems and be able to grasp and adapt monthly and weekly AI innovation coming out in the industry and apply it to our clients' use cases and needs in new modern ways. Client Advisory & Solutioning: Engage directly with senior client stakeholders (including C suite) to understand complex business challenges, identify opportunities for GenAI and Agentic AI, and define project scope. Workshop Facilitation: Design, lead, and facilitate high-impact client workshops and strategy sessions focused on identifying and prioritizing Generative and Agentic AI use cases and roadmap development. Technical Leadership & Architecture: Design, architect, and oversee the development and deployment of scalable, robust, and cutting edge Generative AI and sophisticated Agentic AI systems (including multi agent workflows) for client and internal projects. Project & Engagement Leadership: Lead large scale, complex Generative AI and Agentic AI projects from strategic conception through successful deployment, managing cross functional teams (internal and client side) and ensuring timely delivery of high quality solutions. Technical Mentorship: Mentor and guide technical teams (data scientists, data and AI engineers) in best practices for advanced AI development, deployment, MLOps/LLMOps, and agentic system design. Stakeholder Management: Build and maintain strong relationships with key internal and external stakeholders, effectively communicating complex technical concepts and project progress. Quality & Best Practices: Ensure adherence to rigorous software engineering principles, Agile methodologies, and responsible AI practices throughout the solution lifecycle. Stay Current: Maintain deep expertise in the latest trends, research, tools, and technologies within Generative AI, Large Language Models (LLMs), and Agentic AI paradigms. Qualifications and experience we consider to be essential for the role Programming & Libraries: Deep proficiency in Python and extensive experience with relevant AI/ML/NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK). AI driven SDLC: Claude Code, Codex. Experience using Cursor, Windsurf, Replit, and Github Copilot. Google Stitch. LLM Expertise: Proven experience developing applications leveraging state of the art LLMs (e.g., GPT series, Llama series, Mistral, Claude) including prompt engineering, fine tuning, and evaluation. GenAI & Agentic Frameworks: Hands on mastery of core GenAI frameworks (e.g., LangChain, LlamaIndex, Langfuse) and practical experience with Agentic AI frameworks and concepts (e.g., AutoGen, CrewAI, LangGraph, OpenClaw, NemoClaw, agent planning, tool use integration, multi agent collaboration). AI Architecture: Deep understanding of AI/ML system architecture patterns, including microservices, event driven architectures, and patterns specific to RAG (Retrieval Augmented Generation), Graph RAG, Agentic RAG, and multi agent systems. Data: Knowledge of industry approaches to data engines and data labeling like Scale.ai and Mercor. Experience with auto data labeling and synthetic data generation techniques. Vector Databases & Embeddings: Expertise in working with various embedding models and vector databases (e.g., Pinecone, Weaviate, Chroma, FAISS). Advanced AI Concepts: Strong grasp of advanced techniques such as complex task decomposition for agents, reasoning engines, knowledge graphs, autonomous agent design, and evaluation methodologies for complex AI systems. Software Engineering: Strong foundation in software engineering principles for building scalable, maintainable, and production ready AI systems. Cloud Platforms: Strong working knowledge and practical deployment experience on at least one major cloud platform (AWS, Azure, GCP), including their AI/ML services. LLMOps/MLOps: Expertise in designing and implementing robust MLOps/LLMOps pipelines for automated testing, CI/CD, monitoring, and governance of complex AI models and applications. Leadership & Communication Proven ability to lead and motivate diverse, global teams Excellent communication skills, capable of explaining complex AI concepts to various stakeholders Strong project and program management skills and experience working in Agile environments Qualifications Education: Bachelor's degree in Computer Science, AI, Machine Learning, or a related quantitative field. Master's or Ph.D. strongly preferred. Experience: Minimum 10 years of experience in AI/ML/Data Science, with at least 5 years in significant leadership roles involving solution architecture, team management, and project delivery. Deployment Success: Demonstrated track record of successfully architecting and deploying large scale AI projects, preferably including complex GenAI and/or Agentic AI applications in enterprise or client settings. Consulting Background: Prior experience in technology consulting or a client facing technical specialist role within a technology provider is highly advantageous. Global Experience: Experience working effectively with global teams across multiple geographic locations is a plus. As part of a leading global Data and AI company, you can look forward to: A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4x your annual salary, income protection insurance, and a rewarding pension. EXL provides everyday financial well being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories. At EXL, we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity to enhance their skills and stay up to date with the latest trends and technologies. As an Equal Opportunity Employer, EXL is committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status. EXL employees are eligible to purchase stock as part of our Employee Stock Purchase Plan (ESPP). At EXL, we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration. To be considered for this role, you must already be eligible to work in the United Kingdom.

Senior Product Engineer London Hybrid Startup £90,000 - £130,000 + meaningful equity Technology Stack Golang Rust TypeScript, Node.js React.js, Next.js AWS or GCP Most B2B SaaS products are effectively dashboards on top of a database. This isn't that. We're working with an Agentic AI startup building infrastructure and intelligent software systems that sit underneath large scale operational workflows and real time decision making processes. The platform processes very high volumes of live data, powers complex orchestration pipelines, and delivers AI driven functionality directly into customer environments at enterprise scale. The engineering challenges are genuinely difficult. Not "we use Kubernetes so we're scaling" difficult. More the kind of problems involving distributed systems, real time data ingestion, AI orchestration pipelines, and building software that customers rely on day to day inside production environments. The team is still small enough that every engineer materially changes the trajectory of the business. No giant hierarchy, no endless roadmap theatre, no Jira archaeology expedition trying to work out why a ticket exists. That means speaking to customers, understanding commercial context, shaping product direction, building systems, shipping to production, monitoring outcomes, and iterating quickly. Responsibilities Real time event streaming systems handling very high traffic volumes AI powered workflows and orchestration pipelines Product engineering across backend infrastructure and frontend applications CRM and third party integration infrastructure Identity resolution and large scale data processing Systems where reliability and speed both matter because customers actively use what gets shipped Ideal Candidate Enjoy ambiguity rather than waiting for perfect specs Think commercially as well as technically Want ownership rather than ticket queues Care about shipping quickly Like being close to founders, customers, and product decisions Have worked in strong start ups or fast moving product environments before Technical background matters, but mindset matters more. Open to strong engineers from different backend ecosystems if built complex systems and can learn quickly. A few things worth knowing: High frequency of deployments per week Engineers use AI tooling heavily to improve speed and workflow efficiency Minimal meeting culture High trust environment with lots of autonomy Strong engineering standards without unnecessary process theatre Small team, meaningful ownership, direct impact If you're the type of engineer who likes solving hard problems with smart people, has energy & ambition, and actually seeing your work used in production by real customers, this is a very good opportunity.

What is the job? Do you enjoy coupling your engineering expertise with AI technology to move fast and craft scalable software, whilst solving tough technical challenges? Our new Senior Full-Stack Developer will join the small engineering team that collaborates, moves fast, iterates, builds and scales our core software platform that is designed to manage our full patient journey & supply chain operations, whilst needing to connect to other 3rd party solutions. You will use a tech stack that includes Node.js, TypeScript, React, and Postgres deployed on AWS infrastructure. We are also embracing AI to drive development efficiency but, still underpinning it with human excellence so, if you enjoy tinkering with AI, have deep expertise in our technology stack and enjoy creating software that directly impacts on a human level this is the role for you. What will you be doing? Design, architect, and build performant, scalable applications using modern web technologies. Manage and enhance cloud infrastructure (AWS/GCP) for security, scalability, and reliability. Own solutions end-to-end - from gathering requirements with end-users, to delivery, monitoring, and continuous improvement. Collaborate closely with a cross-functional team on projects that transform how we deliver care. Leveraging AI to drive efficiency, build scalable solutions but underpinning that with your human expertise to ensure excellence throughout our codebase. What do you need? Passion for technology - you're curious, proactive, and thrive on solving problems. Strong fundamentals - solid understanding of software design principles and system architecture. Experience - 5+ years in software development, with strong Node.js/TypeScript skills and expertise of relational databases. Demonstrable expertise (min. 3 years) in managing and enhancing AWS cloud infrastructure and services such as Lambda, RDS, and SQS. Experience with CI/CD IAC. A natural interest and leaning towards maths & engineering fundamentals. A collaborative mindset and desire to make a tangible difference through your work and comfortable being in a lean, agile team. E-commerce/API design and integration experience. Experience or an interest in agentic coding. What we offer: Generous Leave: 25 days holiday (rising to 27 after year one and 30 after year two) + 8 bank holidays Pension Matching: Up to 5% employer matching contributions Flexibility and Wellness: Work-from-home options, cycle-to-work scheme, and more Growth Opportunities: Collaborate across teams and represent Montu at events, with support to grow your skills and impact Enhanced Maternity & Paternity Leave About Us Montu UK is a leading digital health company specialising in cannabis-based medicines (CBPM), dedicated to improving patient access to safe and effective treatments. Our mission is to transform lives by combining innovative technology with high-quality clinical care, ensuring patients receive the support they need at every step of their journey. As a fast-growing organisation, we offer a collaborative and supportive environment where talented people can develop their careers while contributing to meaningful change in healthcare. At Montu UK, your work has a direct impact on improving patients' lives and expanding access to modern medical treatments.

Role Summary Oxford Dynamics seeks a Senior Technical Project Manager to own end to end delivery of AI driven software programmes, coordinating multi team execution from scope and planning through production launch with clear SLAs, budgets, and timelines. The role bridges cutting edge AI research and practical deployment, ensuring agentic/LLM features ship safely, on time, and to quality in regulated environments where security and compliance matter. Key Responsibilities Lead multi project roadmaps managing scope, budgets, risks, RAID, milestones, and change control to deliver on time and within cost. Run Agile ceremonies (Scrum/Kanban), track burn up/burn down, and drive decisions with clear acceptance criteria and measurable outcomes for each increment. Produce crisp client and leadership reporting, acting as the single point of contact to unblock issues across internal teams, suppliers, and stakeholders. Orchestrate delivery of AI features spanning LLMs, RAG, and multi agent workflows from ingestion to inference, including offline/edge constraints where required. Partner with Tech Leads to make trade offs in design and architecture, aligning research prototypes with production requirements and service levels. Coordinate release readiness across testing, evaluation, and go live plans. Align engineering and DevOps on environments, observability, and incident response, ensuring deployments are auditable, cost aware, and reversible. Oversee vendor and subcontractor deliverables, ensuring integrations meet contractual, performance, and compliance requirements. Own risk mitigation for compliance and security constraints typical of regulated sectors, escalating early with clear options and impacts. Translate product goals into executable backlogs and milestones, sequencing dependencies across AI, frontend, backend, and platform teams. Review GitHub PRs alongside Tech Leads to validate scope, surface trade offs, and maintain momentum without compromising quality. Represent Oxford Dynamics with customers and partners, including contributions to bids and programme inputs where needed. Drive adherence to security and quality management processes appropriate to regulated domains such as defence, aerospace, healthcare, and finance. Ensure projects maintain audit evidence for decisions, testing, and releases, with recovery plans and responsibilities defined prior to go live. Qualifications 5+ years managing software and AI programmes with multiple stakeholders, delivering production releases in fast moving environments. Proven delivery across teams using React and Python stacks (e.g., Django, FastAPI, Flask) or equivalent modern frameworks. Hands on experience coordinating projects that integrate LLMs, RAG, and related AI components into shipped products. Strong scope, requirements, and budget control; confident discussing technical trade offs and reviewing PRs with engineers. Experience in regulated environments with security and compliance responsibilities across the delivery lifecycle. SC clearance or eligibility for UK national security vetting as required by programmes. Preferred / Bonus Portfolio of shipped AI/robotics/software projects with measurable outcomes and references to regulated work where applicable. Knowledge of data security and accreditation processes; experience with offline/edge solutions or constrained deployments. Comfort presenting to senior stakeholders and contributing to business development activities and bids. Soft Skills High agency ownership from concept to launch, with a bias to clarity, iteration, and decision making under uncertainty. Excellent communication across technical and non technical audiences, enabling fast, safe progress across disciplines. Calm, structured problem solving during incidents and changing constraints, with clear follow through on actions and learning. 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). Inclusive team experience for all; we believe our work is at its best when everyone feels free to be their authentic self.

Technical LeadApplylocations: Northern Ireland - Belfasttime type: Full timeposted on: Posted 30+ Days Agojob requisition id: R51352 Job Summary: Job Description : Who Are We At Wellington IT? At Wellington IT we provide the most successful range of Credit Union software in Northern Ireland/Ireland, currently moving billions each year and managing funds for more than 1 in 4 people. Our customers use our software to power every aspect of their financial services business from savings and loans, through to business intelligence, online banking, mobile apps, debit card services and ATMs.Wellington IT is part of Volaris, an operating group of Constellation Software Inc, a large corporate business based in Canada. Volaris acquires and strengthens Company's within the markets they compete, enabling them to grow - that growth comes through organic measures such as new initiatives and product development, day-to-day business, and through complementary acquisitions.Our people are at the heart of everything we do, Wellington IT offers fantastic career growth opportunities, learning programs, a space you can thrive and a culture that's all about continuous improvement. This Year we are proud to say we have achieved our Great Place To Work accreditation across both UK & Ireland! Your Mission As a Technical Lead at Wellington IT, your mission is to drive technical excellence and innovation within a delivery team, leading the evolution towards AI-assisted development workflows and modern engineering practices. You will represent the technology aspect of the delivery team triumvirate, guiding engineers as we transition to a pod-based delivery model whilst maintaining hands-on technical contribution. Your experience with AI coding assistants, spec-driven development, and agentic workflows will be instrumental in accelerating delivery and elevating team capabilities. The ideal candidate is an experienced technical leader who combines deep engineering expertise with strong people skills, passionate about leveraging AI-native development tools(such as GitHub Copilot, Amazon Q Developer, or similar) to transform how teams deliver value whilst fostering a culture of continuous learning and innovation. Key Responsibilities Technical Leadership and AI-Assisted Development Lead technical direction for your delivery team, championing AI-assisted development workflows and spec-driven approaches to accelerate delivery Guide engineers in effectively leveraging AI coding assistants (such as GitHub Copilot, Amazon Q Developer, Cursor, or similar tools) to enhance productivity and code quality Establish standards and best practices for AI-native development, including prompt engineering, code generation review, and quality assurance Keep up with industry best practices in fintech and AI-assisted development, understanding the impact of technology choices on the team Provide hands-on technical contribution whilst balancing leadership responsibilities Ensure proposed solutions are feasible within technical constraints and align with overall architectural vision Team Leadership and Line Management Line manage 4-5 engineers, providing regular 1:1s, performance feedback, and career development support Actively mentor engineers using coaching techniques to help them arrive at solutions, identifying areas for focus and improvement Read team morale and respond proactively to engineer needs, working to improve team engagement and satisfaction Ensure your team has the right expertise and skills to deliver on squad goals Foster a culture of learning and experimentation, providing resources and support for continuous professional development Pod-Based Delivery Model Drive the adoption of pod-based delivery practices Work closely with Product Owner and Delivery/Scrum Master as part of the triumvirate model Facilitate effective collaboration within the pod and across dependencies with other delivery teams Keep the delivery team focused on delivering measurable value aligned to company goals Effectively manage deliverables, ensuring prioritised work is planned and valuable Balance new feature delivery with technical debt resolution and customer support priorities, ensuring sustainable pace" Stakeholder Engagement and Communication Explain the impact of your pod's work to non-technical stakeholders in clear, engaging terms Communicate team goals to engineers in ways that connect their work to company success and business value Work with Product Managers to define feasible metrics and success criteria, helping shape pod goals to deliver business value Regularly run project/epic kick-off meetings and facilitate collaborative sessions with stakeholders Proactively inform the triumvirate and stakeholders on progress, blockers, and delivery estimates Technical Excellence and Innovation Revise and restructure existing frameworks and systems, applying advanced technology solutions including AI-assisted tooling to streamline operations Set strategic direction for AI-native development adoption within your pod, including agentic workflows where appropriate Identify problems with technology, tools, and processes; encourage engineers to own investigations and proposals for fixes Actively work to remove distractions and low-impact work from the delivery team Keep up with industry best practices in both fintech and AI-assisted development ,championing their adoption where appropriate Drive prioritisation frameworks that balance innovation, technical debt, and customer retention objectives Execution and Delivery Estimate delivery of work across the delivery team with accuracy, managing deliverables toensure prioritised work is valuable Conduct technical feasibility studies for proposed requirements Delegate effectively to focus on unblocking engineers and actively removing impediments Feed proposals to the technical roadmap to keep the platform evolving Ensure delivery of quality software that meets business and customer needs whilst maintaining focus on technical debt reduction and customer satisfactions Skills & Experience Essential: Proven experience as a Technical Lead or Senior Software Engineer with leadership responsibilities Strong hands-on technical skills across multiple systems and technologies relevant to fintech/banking software Demonstrated experience with AI coding assistants (GitHub Copilot, Amazon Q Developer, Cursor, or similar) in production development Track record of implementing spec-driven development and AI-assisted workflows to accelerate delivery Experience successfully mentoring and developing engineers Experience working in agile/scrum delivery teams with Product Owners and stakeholders Excellent communication skills with ability to explain complex technical concepts to non-technical audiences Experience estimating and delivering work in iterative cycles Strong problem-solving abilities and architectural thinking Highly Desirable: Experience with Oracle databases, Java/C#, or modern web technologies Background in financial services or regulated industries Familiarity with CI/CD, DevOps practices, and modern development tooling Experience implementing or transitioning to pod-based delivery models Track record of driving adoption of AI-assisted development practices or new technologies within teams Knowledge of agentic AI frameworks (Lang Chain, Lang Graph, Auto Gen) or prompt engineering techniques Experience with cloud platforms (AWS/Azure) and modern application architectures Role Competencies Leadership: Able to support and lead technical direction in an agile team; actively mentors engineers and uses coaching techniques; manages team morale and responds to needs Domain Expertise: Keeps up with industry best practices; understands impact of technology choices; can identify problems and drive improvements Interpersonal Skills & Communication: Explains impact to non-technical stakeholders; engages team with goals; facilitates collaborative sessions; works to make engineers understand company objectives Initiative & Innovation: Identifies problems with delivery team and process; sets strategic direction for AI-assisted development adoption; encourages culture of learning and experimentation with modern development tools Execution: Estimates delivery across team; manages deliverables effectively; ensures prioritised work is valuable; actively removes blockers Customer-centric: Facilitates workshops with stakeholders; demonstrates how solutions meet needs; addresses customer preferences with technical alternatives Business Acumen: Understands and communicates goals across teams; helps shape team goals to deliver business value whilst balancing technical debt reduction and customer retention priorities Wellington IT Competencies Integrity Energy & Drive Initiative Domain Expertise Resilience Execution Customer Centric Team Building Wellington IT Culture & Values Commitment - We are committed to the success of our colleagues and customers Teamwork - We do amazing things when we work as a team Respect - We value and seek everyone's contribution Honesty - We are open and honest in everything we do Positivity - We embrace and inspire positivity in each other Leadership - We lead by example with our words, our actions and results What We Offer Competitive base salary Bonus Scheme Annual leave (36 days incl your birthday off) Training & Development (Internal & External) Market leading workplace pension (15% matched) Private Healthcare Scheme - AXA, UK Enhanced maternity leave Remote/Hybrid Working Flexible start / finish times Family related benefits Excellent Health & Wellbeing Initiatives Worker Type: Regular Number of Openings Available: 1

At Vanta, our mission is to help businesses earn and prove trust.We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Our business has found incredible product-market fit and has monetized effectively since the day we signed our first customer. We're growing at a blistering pace, which presents career-defining opportunities for engineers to accelerate their growth and to contribute to a rapidly-scaling company. We are hiring Senior Fullstack Product Engineers (React, Typescript, Node, GraphQL & MongoDB) to build emerging products and to contribute to efforts to build features used across our Product Platform; applications through this link put you into consideration for the following teams: Third Party Risk Management: This product was designed to provide software buyers with tools to evaluate the security of their vendors and partners by inventorying vendors, prioritizing risks, automating security reviews and remediating findings. TPRM or Third Party Risk Management (TPRM) presents a massive opportunity for Vanta - representing a market of $5-$10B in ARR and a CAGR of 10.8% driven by secular tailwinds in the industry that requires more focussed and deeper scrutiny of the company's supply chain. Monetization: This team is building an enterprise-grade revenue and entitlement platform to support our rapid upmarket expansion. Serving as the critical bridge between our core product and revenue operations, you will build resilient backend systems in our product platform that integrate seamlessly with tools like Salesforce, NetSuite, Ironclad, and Metronome. You'll tackle complex distributed systems challenges to establish Vanta's entitlement source of truth, enable customer purchasing and trial experiences, and manage usage-based billing. You will have an impact on the entire customer lifecycle, including domain provisioning and management, and work closely with Expansion to support core checkout plumbing and account management capabilities on our billing page. Your work on this scalable commercial infrastructure will directly accelerate Vanta's growth. Expansion: This team focuses on the full post-activation lifecycle-driving retention, expansion, and revenue automation across the product. You'll build the core systems that power Vanta's purchasing, trial, and renewal experiences for existing clients.This includes creating seamless checkout flows, self-serve upgrade paths, and intuitive renewal pages, as well as integrating with our evolving billing infrastructure. You'll also develop the platform that enables "try before you buy" experiences across Vanta, giving prospects hands on access and empowering other product teams to plug into a unified trials framework. Collaboration: On the Collaboration team, you will contribute to building components and APIs that make it more efficient for Vanta users to complete GRC and Trust management tasks. We believe in building these components and APIs in a way that makes them easy to adopt by other engineering teams within Vanta. Customer Trust Automation: This team is responsible for delivering experiences that reduce sales friction, automate inbound customer security assessments, and foster durable, high-trust relationships - through products including the Trust Center, Questionnaire Automation, and emerging agentic experiences. What you'll do as Senior Software Engineer at Vanta: Lead complex projects with multiple stakeholders and engineers to accelerate our roadmap and land impact faster. Collaborate with other teams and engineers across Vanta on cross-cutting engineering initiatives or on building common product primitives. Mentor engineers up to your own level; assigning them tasks and helping them develop their skills over the course of each project. Make effective tradeoffs that consider business priorities, user experience, and a sustainable technical foundation. How to be successful in this role: 5+ years of full stack experience with an emphasis on backend skills. Experience leading small teams of engineers to deliver impactful projects. Strong communication and collaboration skills. Experience building user-facing SaaS products over multiple years, ideally both for startups and enterprise users. Experience building 0 1 products as well as solving tough engineering problems- especially in environments that prioritize bias for action. Experience with TypeScript is a plus- our stack is React, TypeScript, Node.js, GraphQL & MongoDB. Open to using AI to amplify their skills and strengthen their work - demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact. What you can expect as a Vanta'n in Canada: Industry-competitive salary and equity 100% covered medical, dental, and vision benefits with dependents coverage Pension contribution 16 weeks fully paid Parental Leave for all new parents Health & wellness stipend Remote workspace, internet, and cellphone stipend Flexible work hours and location 21 days of Vacation Time and 80 hours of Sick Leave 11 company-paid holidays Virtual team building activities, lunch and learns, and other company-wide events! Offices in SF, NYC, London, Dublin, Tel Aviv, and Sydney About Vanta We started in 2018, in the wake of several high-profile data breaches. Online security was only becoming more important, but we knew firsthand how hard it could be for fast-growing companies to invest the time and manpower it takes to build a solid security foundation.Vanta was inspired by a vision to restore trust in internet businesses by enabling companies to improve and prove their security. From our early days automating security monitoring for compliance standards like SOC 2, HIPAA and ISO 27001 to creating the world's leading Trust Management Platform, our vision remains unchanged. Now more than ever, making security continuous-not just a point-in-time check- is essential. Thousands of companies rely on Vanta to build, maintain and demonstrate their trust- all in a way that's real-time and transparent. At Vanta, we are committed to hiring diverse talent of different backgrounds and as such, it is important to us to provide an inclusive work environment for all. We do not discriminate on the basis of race, gender identity, age, religion, sexual orientation, veteran or disability status, or any other protected class. As an equal opportunity employer, we encourage and welcome people of all backgrounds to apply. Referral Instructions If you are being referred for the role, please contact that person to apply on your behalf.

Job Description We are looking for a Senior Full Stack Engineer with a strong back end focus to join one of our Profile domain product teams. This role is full stack by design: you will work across back end and front end codebases, contributing to end to end product delivery. However, your primary strength will be in back end engineering using C# and .NET Core in cloud native AWS environments, while still being confident and hands on on the front end. You will join an established, autonomous product team owning their product end to end, with real ownership over technical design, implementation, and continuous improvement. Your responsibilities Design, build and evolve scalable back-end services using C# and .NET Core, alongside developing front-end features with modern JavaScript frameworks to enhance user experience. Design and implement RESTful APIs, ensuring high standards of performance, reliability and security. Build, deploy and operate services in AWS using Docker and Infrastructure as Code, ensuring solutions are production-ready, secure, observable and well-tested. Contribute to solution and architecture design, balancing rapid delivery with long term sustainability, while actively reducing technical debt and improving code quality across the stack. Collaborate cross functionally with Product, QA and engineering teams to deliver end to end features, while mentoring and upskilling engineers in modern .NET, cloud and full stack practices. Qualifications Back-end (Primary Focus), Expert in C# and .NET Core with strong experience in MVC, REST API design and best practices; deep knowledge of AWS/cloud computing, microservices, CQRS, event driven and message based architectures; experienced with SQL Server, PostgreSQL and Docker based containerised workloads. Front-end (Required), Strong experience building user facing web applications using Node.js, React and TypeScript; solid understanding of HTML, CSS and build tooling (e.g. Webpack); awareness of AI tooling best practices and agentic AI frameworks; able to collaborate effectively with design and product teams to deliver performant, user centric interfaces. DevOps, Quality & Security, Strong DevOps and CI/CD expertise with tools such as Bamboo, TeamCity and Octopus; hands on experience with Infrastructure as Code (Terraform), observability tooling (Grafana, Kibana, Datadog, CloudWatch), automated testing (NUnit, xUnit, Cypress, Playwright), Git based workflows, and secure development practices including OWASP, secrets management and Vault. Ways of Working, Comfortable in Scrum/Kanban environments with strong communication skills; experienced with Jira, Confluence, Slack and MS Teams; fluent in English and effective in distributed international teams; able to work aligned to GMT hours (08:00-17:00). Desirable Skills, Experience with HashiCorp tooling (Terraform, Vault, Envconsul), Nginx for reverse proxying and routing, and messaging platforms such as Kafka or AWS SQS/SNS. Additional Information Your benefits We're a community here that cares as much about your life outside work as how you feel when you're with us. Because your job shouldn't take over your life, it should enrich it. Here are some of the benefits we offer: 29 days holiday allowance + bank holidays Private medical and dental healthcare Matching pension contribution of 4 or 5% (after 3 years of service up to 10%) 24/7 Employee Assistance Programme Life Assurance Cover Cycle to work scheme Hybrid working model (3 days working from the office) Volunteering days and you can bring your dog to the office on Mondays and Fridays! Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group are critical to our success as a global company, so we want to recruit, develop, and keep the best talent. We encourage applications from everyone, regardless of background, gender identity, sexual orientation, disability status, ethnicity, belief, age, family or parental status, and any other characteristic.

Senior AI Engineer page is loaded Senior AI Engineerlocations: Londontime type: Full timeposted on: Posted Todayjob requisition id: JR0573 Mission Statement & Summary We're hiring a Senior AI Engineer to design and deliver AI systems across the business.This is a hands-on role focused on building production-grade solutions using LLMs and agentic systems, embedding AI directly into core business processes rather than building isolated prototypes. You'll take high-value problems and turn them into scalable, reliable systems used in real workflows, driving measurable business outcomes.You'll contribute significantly to technical direction, architecture, and implementation, translating defined business priorities into robust, production-ready systems. You'll make key technical contributions and work hands-on alongside engineers to deliver solutions that are reusable, scalable, and built for long-term impact. How You'll Contribute Design and implement AI systems end-to-end, contributing to technical direction and architecture Build LLM-powered and agent-based solutions from concept through to production Contribute to engineering standards, patterns, and reusable components across use cases Make informed technical decisions on models, tooling, infrastructure, and system design within agreed architectural direction Ensure systems are robust, observable, and production-ready (evaluation, monitoring, guardrails) Provide technical guidance and mentorship to engineers contributing to AI initiatives We're Looking For These Essential Skills Proven experience delivering production-grade AI systems end-to-end Experience designing and implementing complex AI systems across multiple use cases or domains Strong expertise in generative AI / LLMs, including orchestration, prompting, and evaluation Experience building agentic or multi-step AI systems Strong software engineering fundamentals including APIs, system design, and cloud-based architectures Ability to operate effectively in ambiguous or fast-moving problem spaces Experience contributing to and influencing engineering standards and practices across projects It's a plus if you also have these skills Experience contributing to AI platforms or reusable frameworks and patterns Familiarity with LLMOps / MLOps and production evaluation practices Experience embedding AI into core business processes or enterprise systems Experience working in large-scale or regulated enterprise environments 26 days holiday, rising to 30 with service A holiday buy scheme (up to 5 extra days) Double matched pension, with up to 14% from NewDay Generous annual performance bonuses Private medical insurance with Bupa, including mental health support and cancer care 26 weeks paid maternity, adoption and shared parental leave Free breakfast and lunch in the office every day, provided by our in-house chefs and more, which you can explore !At NewDay, we value all types of diversity. We're an equal opportunity employer and believe that our differences create a vibrant, authentic working culture. We want all our colleagues to feel able to bring their whole selves to work. We don't discriminate on the basis of protected characteristics or identities. We make sure that every job is crafted to be inclusive and that people with disabilities or caring responsibilities can take part in the application and interview process.Tell us if you need accommodations: We'll put reasonable adjustments in place to support you.We work with Textio to make our job design and hiring inclusive.Permanent