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At Forvis Mazars, we're always looking ahead, for our people, our clients and the wider world. Together, we grow, belong and impact. You'll be supported to learn, explore and develop from day one. We celebrate individuality, encourage bold thinking and believe success comes from working together. With us, you'll belong to your local team, gain global experience, and make a meaningful impact now and in the future. About The Team: Our Audit Quality Support Team plays a vital role in maintaining and enhancing the quality of audits across Forvis Mazars in the UK. The team provides technical expertise and strategic support to audit teams throughout the firm, ensuring consistency, compliance, and excellence in our audit delivery. We support client-facing teams through a wide range of services, including: • Responding to complex technical audit enquiries, • Developing and maintaining firm-wide audit methodology As an Audit Manager (MAN), you will work closely with both audit and central teams to champion quality and embed a high-performance culture throughout the service line, and support the senior leadership team including Partners, and contribute to the strategic development of the AQST practice. What You'll Do: • Quality Management Delivery – Support the implementation and embedding of a culture of high audit quality across the firm by strengthening the firm's System of Quality Management (SoQM)., • ISQM (UK) 1 Compliance – Contribute to the delivery of the firm's ISQM (UK) 1 monitoring, testing, and evaluation programme, including control testing, documentation, and remediation tracking., • Control Design & Review – Assist in the design and implementation of new or revised quality controls, identify control gaps, and support remediation processes., • Data & Insight – Use software tools to map and analyse objectives, risks, and controls; maintain relevant documentation and support ongoing process improvement., • Stakeholder Engagement – Communicate regularly with key internal stakeholders on control processes, findings from monitoring activities, and improvement initiatives., • Cross-Team Collaboration – Work closely with other quality-related teams (e.g. Methodology, RCA, Learning & Development) to deliver a coordinated response to audit quality initiatives., • Reporting & Communication – Prepare reports and analysis for leadership, summarising key findings and recommendations from monitoring activities and thematic reviews., • Innovation & Efficiency – Support continuous improvement, suggesting enhancements to quality processes and supporting digital automation initiatives., • Qualification – Professionally qualified (ACA / CA / ACCA or equivalent)., • Audit Experience – Strong background in audit; familiarity with ISQM (UK) 1 requirements is desirable but not essential., • Technical Proficiency – Good working knowledge of Microsoft Office applications (especially Excel), SharePoint, and comfort working with a range of technologies and systems., • Organisational Skills – Strong project management and organisational capabilities, with the ability to prioritise effectively and meet deadlines across multiple tasks., • Communication – Clear and professional communication skills, both written and verbal, with the ability to engage confidently with colleagues at all levels., • Team Player – Collaborative, adaptable, and approachable with a proactive mindset and a commitment to continuous learning and improvement., • Confidentiality – Able to handle sensitive information with discretion and professionalism. Forvis Mazars is a leading global professional services network delivering quality across audit, tax, advisory and consulting. We're united by a shared purpose and a strong sense of belonging, with a culture rooted in inclusion, responsibility, and collaboration. With us, you'll be empowered to shape your career, contribute your ideas, and make a difference from day one. We embrace individuality and encourage everyone to bring their whole selves to work. Whether you're looking to stretch your potential, build meaningful relationships or be part of a diverse, forward-thinking team, this is a place where you can thrive. Salaries & Benefits: At Forvis Mazars, we pride ourselves on being a fair and competitive employer, we offer a competitive salary which are based on experience and benchmarking. We have an annual performance-based bonus, and regular salary reviews to ensure you are rewarded for your efforts. You'll enjoy hybrid working options, allowing you to maintain a healthy work-life balance, along with clear career progression opportunities that will support your growth. Our comprehensive benefits package includes wellbeing support because we believe in taking care of our people. Does this sound like the kind of place where you can thrive? Location: Various – This role can be based in ___, ___, ___, ___, ___, ___ or ___ Ready to Grow, Belong, and Impact? Apply now and join us at Forvis Mazars!

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. As the DevOps Engineer, you will be responsible for designing, implementing, and maintaining the infrastructure and processes that enable continuous integration, delivery, and deployment of software applications. This position will also involve collaborating with development and operations teams to streamline workflows, automate repetitive tasks, and ensure the reliability, scalability, and security of the production environment. The position may involve being available for on-call duties as part of a scheduled roster. What you'll do • Lead and manage a team of DevOps engineers responsible for the development , deployment, and maintenance of infrastructure and automation systems, • Oversee the design, implementation , and optimization of DevOps products and workflows, • Collaborate with cross- functional teams, including product management, operations , video engineering, and monitoring, to ensure seamless delivery of infrastructure services, • Monitor and troubleshoot infrastructure delivery issues , ensuring high availability , quality of service, • Implement and manage cost optimization strategies to ensure efficient use of resources and budget control, • Stay current with industry trends and emerging technologies , incorporating them into the team's projects as appropriate, • Provide mentorship and professional development opportunities for team members , fostering a culture of continuous learning and improvement, • Manage team WIP limits , roadmaps, timelines, and resources to ensure successful delivery of multiple projects What you'll bring, • Experience working on multiple projects as part of a cross- functional team, • Working with architecture teams to design scalable , fault- tolerant , and cost- efficient solutions, • Passion for researching and implementing new technologies, • Experience with mentoring/knowledge-sharing, • Proven experience in coding with a programming/scripting language (e.g. Java, Golang , Javascript , Python, Bash), • Proven experience in IAC frameworks (e.g. Terraform , Ansible , Pulumi ), • Proven experience in using LINUX/UNIX, • Proven experience in using the GitOps approach and related tools (e.g. ArgoCD , FluxCD ), • Proven experience in working with DB (RDBMS or NoSQL ), • Proven experience in a containerized environment (k8s, docker ) and tools ( kubectl , Helm, kustomize , docker -compose), • Proven experience in networking and security standards, protocols and best practices, • Proven experience in logging systems (e.g. ELK stack ), • Proven experience in monitoring systems (e.g. Prometheus ), • Proven experience in tracing systems (e.g. OpenTelemetry , Jaeger), • Experience in performance optimization and resource management, • Relevant certifications (AWS, Google), • Understanding of Agile methodologies, • Ability to diagnose and resolve service- affecting issues in a Broadcast/ Livestream environment, • Pro- active attitude Team overview As a DevOps team within a prestigious broadcasting organization, we work closely with architecture, support , playout , distribution teams, and creative collaborators to bring innovative solutions to life. Our primary goal is to deliver end-to-end systems that meet the unique needs of our customers, starting from the initial concept and design phase all the way through to the deployment of a fully operational, polished product. We pride ourselves on being a small but highly efficient and well-structured team, with clearly defined roles that leverage each member's strengths to ensure seamless project execution. Our collaborative approach and strong communication channels enable us to adapt to dynamic requirements, maintain high-quality standards, and consistently deliver impactful solutions that enhance broadcasting workflows and audience engagement Content technology and innovation Our Content Technology and Innovation team delivers high-quality content to homes, customer devices, businesses and commercial partners across our European markets. With over 2500 colleagues from around the world, we combine our strategic insights, engineering know-how and operational excellence to use the most innovative technologies to create and distribute our award-winning content! The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

New Logo Sales Executive - Integration Solutions / ITSM Solutions Sales IT / MSP Location: Hybrid, Watford (2 days per week in office) Type: Full-time Salary: £60,000 £80,000 + commission About the Role Were seeking an experienced New Business Solutions Sales Executive with a proven track record in ITSM solutions sales, software integration, and automation. This is a high-impact, consultat... ZIPC1_UKTJ

Are you looking to hit the ground running and make a real impact on a highly technical platform team?.Are you interested in working for a scaling fintech company where reliability, automation, and security are built in from day one?.We’re working with an exciting company who are looking for an exp

You’ll work hands-on with diverse datasets, build automation to support real-time systems, and play a critical role in maintaining the integrity of data that drives trading strategies globally. Performing data quality checks and maintaining the reliability of live data feeds supporting trading sys

Our client operates at the forefront of crypto infrastructure, providing stablecoin liquidity solutions and seamless onboarding rails for Web2 and Web3 applications. Strong experience with frontend and Web UI automation using Playwright. Required: hands-on experience in the crypto and Web3 space.

Android development experience (Kotlin, Gradle, Android Studio). Strong experience writing and maintaining Android tests. Android Developer (Testing-Focused) - Video Streaming.

🌟 Scala Developer – Contract (Inside IR35 | Up to £650 per day) 🌟 My client is looking for a talented Senior Scala Developer to join their high-performing tech team. This is a brilliant opportunity to work on complex, large-scale systems that keep data flowing seamlessly across critical platforms. 🔧 What You’ll Do • Design, build, test, and maintain software that integrates and orchestrates data across key components, • Deliver reliable, secure, and observable systems with a strong focus on automation (“you build it, you run it” mindset), • Collaborate with stakeholders to shape user stories and define acceptance criteria, • Work closely with Principal Engineers and Architects to align with broader technical goals, • Support and mentor junior developers, sharing knowledge and best practices 💡 What You’ll Bring • Proven experience delivering production-grade, complex applications, • Strong background in Scala, ideally within the Akka/Pekko ecosystem, • Experience with Docker, Kubernetes, and cloud platforms, • Solid Test-Driven Development skills and understanding of testing at all levels, • Familiarity with CI/CD tools such as Jenkins or TeamCity, • Experience working in agile environments (Scrum or Kanban), ideally with pair programming exposure, • A proactive mindset, strong communication skills, and a genuine passion for collaboration If you’re a Scala enthusiast who loves solving challenging problems and wants to work on systems that matter, I’d love to chat! 📩 Drop me a message or send your CV across if you’d like to explore this role further.

You have used workflow or automation tools (Zapier, Make, Langflow, Replit, Claude Projects, Copilot Studio, Notion automations, etc. We augment experts rather than replace them. You will work closely with the founder and collaborate with senior engineers who can support your builds.

My client is seeking an experienced Cloud Security Engineer to help design, implement, and operate security controls across our cloud environments, with a strong emphasis on.This role is hands-on and technical, focused on automation, identity management, and maintaining a strong security posture at

The ideal candidate should have strong experience with Microsoft technologies (Windows 10/11, Intune, Active Directory, Exchange Online), Azure advanced services (Functions, Logic Apps, Automation, Networking), scripting and automation (PowerShell, Python, or Bash), and infrastructure-as-code (Terra

Freelance / FTC Opportunity – Python Automation Engineer. Android and iOS device automation. Python or Java-based frameworks.

You will be involved in the design, development and delivery of control systems using Allen-Bradley / Rockwell PLC platforms, working on complex and high-value engineering projects. Background in control systems, automation or industrial engineering. If you are a Control Systems or PLC Engineer look

Founding Engineer – Early-Stage Deep Tech Startup Full-time | Onsite in London £180,000 + Substantial Equity An early-stage, stealth-mode startup is looking for a Founding Engineer to join the team in central London. This is a unique opportunity to help build a transformative new platform at the intersection of software systems, automation, and intelligent infrastructure. Founded by leading academics and proven entrepreneurs, the business is backed by top-tier investors and is solving complex technical problems that demand creativity, rigour, and ambition. The Role • Build and own core systems and architecture from the ground up, • Work closely with the founding team on product direction and technical strategy, • Make key decisions across the full stack — from infrastructure to user-facing elements, • Contribute to the early engineering culture, processes, and hiring Ideal Background • Experience building complex systems in a startup or high-growth tech environment, • Strong computer science fundamentals; comfortable working across multiple layers of the stack, • Demonstrated ability to operate in fast-moving, ambiguous environments, • Bonus: familiarity with compilers, distributed systems, systems design, or programming languages theory Offer • £180,000 base salary, • Significant equity in a high-potential startup, • London-based, full-time — onsite collaboration with a world-class founding team

Automation Assurance Specialist – Consultant (Digital Excellence). Automation Assurance Specialist (Consultant level).

Power System Engineer 02/2026 – 07/2026 initially London The consultant will support projects at various phases by conducting studies. Scope includes: • Create and validate EMT and RMS models for relevant assets (e.g., WTG, PPC, STATCOM, as applicable)., • Plan and execute design and Grid Code compliance studies, small disturbances and fault scenarios., • Draft clear, audit-ready technical documentation for internal review and external compliance; contribute to grid-connection workstreams., • Interface with OEMs on model provisioning, validation, and parameterization., • Summarize findings, recommend mitigations, and ensure quality in line with client standards across multiple projects. Requirements • Degree in Electrical/Power Systems Engineering (BEng/MSc/PhD) or equivalent., • At least 5 years’ hands-on experience with PSCAD for EMT studies, including applicable add-ons and analysis modules, plus required experience with DIgSILENT PowerFactory covering steady-state and RMS analyses., • Experience working with vendor models and parameterization for compliance., • Scripting/automation skills for workflows and post-processing., • Experience coordinating with OEMs for model delivery, validation, and updates. strong data confidentiality practices, • Strong communication skills; able to produce clear reports and stakeholder materials., • Ability to work independently while following clients established methodologies, documentation standards, and QA processes. Nice to Have (Optional) • Experience with National Grid ESO EMT guidelines and evidence requirements., • Experience with grid‑forming controls or advanced STATCOM functionalities. Resources Provided • Client will supply a laptop and all necessary software licenses and access. Engagement Terms • No additional certifications required., • No travel required; the role is fully remote., • Contract basis, billed per hour or per day., • Flexible allocation subject to project demands and priorities.

My client, a leading hedge fund, is seeking a Senior Infrastructure Engineer to join their in-house engineering team. The ideal candidate should bring strong TCP/IP networking fundamentals, proven scripting/automation skills (PowerShell or Python), and experience delivering cloud infrastructure (Iaa

Our client is a world-leading global quantitative investment manager, operating across all liquid asset classes with a strong, technology-driven and scientific approach to investing.You will be responsible for building and maintaining business-critical systems, developing automation for deployment,

You will be responsible for designing, building and maintaining robust automation frameworks, working closely with developers, QA and product teams to ensure high quality, scalable solutions. Collaborate with engineers to embed quality throughout the development lifecycle.

AWS Solution Architect Location: Hybrid – London Compensation: Up to £82,000 base salary + £7,000 bonus NOTE: Due to the nature of this client's work, candidates must be eligible for UK DV Clearance (British passport holder). We are seeking an experienced AWS Solution Architect to play a senior technical role in delivering complex cloud migration and adoption programmes within highly secure environments. This position is ideal for a cloud infrastructure–focused professional who has deep AWS expertise and a strong background in large-scale migration initiatives. You will work closely with stakeholders and engineering teams to define, design, and assure robust AWS architectures, guiding customers through their cloud transformation journey while setting standards and reusable patterns for future delivery. Key Responsibilities • Act as the technical lead for AWS migration and cloud enablement activities, • Define and document AWS architectures, including baseline, target state, roadmaps, patterns, and reference architectures, • Design and assure well-architected migration approaches across complex, multi-account AWS environments, • Develop and maintain reusable migration patterns using Infrastructure as Code and automation, • Provide architectural governance and conduct regular design and platform reviews, • Support engineering teams in optimising migration paths and resolving complex technical issues, • Drive adoption of automation, DevOps practices, and cloud-native ways of working, • Serve as an escalation point for technical troubleshooting and incident management, • Produce high-quality documentation to enable reuse, supportability, and knowledge sharing Required Experience & Skills • Strong, hands-on AWS experience within large-scale, enterprise environments, • Professional AWS certifications (Solutions Architect Associate/Professional required), • Background in cloud infrastructure or cloud engineering rather than pure software development, • Proven experience delivering complex cloud and data centre–to–AWS migration programmes, • Expertise in AWS architecture, networking, and security services, • Experience working with CI/CD pipelines, DevOps tooling, and Infrastructure as Code, • Ability to translate business and technical requirements into scalable AWS solutions, • AWS specialty certifications (Security, Advanced Networking, or similar), • Experience operating within Agile or scaled Agile delivery frameworks, • Mentoring or leading other engineers and architects, • Experience working in regulated or high-assurance environments If you are an AWS Solution Architect with deep cloud infrastructure and migration expertise, apply today.

We’re working with a rapidly growing tech for good company that is transforming how data, automation, and smart integrations shape the future of digital infrastructure.Their platform optimises real-time operations, connecting users with seamless, intelligent technology solutions.JVM ecosystem to h

Data Engineer [Associate/Senior Associate] About the job We are looking to expand our Data Engineering team to build modern, scalable data platforms for our internal investment desks and portfolio companies. You will contribute to the firm’s objectives by delivering rapid and reliable data solutions that unlock value for Cerberus desks, portfolio companies, and other businesses. You’ll do this by designing and implementing robust data architectures, pipelines, and workflows that enable advanced analytics and AI applications. You may also support initiatives such as due diligence and pricing analyses by ensuring high-quality, timely data availability. What you will do • Design, build, and maintain scalable, cloud-based data pipelines and architectures to support advanced analytics and machine learning initiatives., • Develop robust ELT workflows using tools like dbt, Airflow, and SQL (PostgreSQL, MySQL) to transform raw data into high-quality, analytics-ready datasets., • Collaborate with data scientists, analysts, and software engineers to ensure seamless data integration and availability for predictive modeling and business intelligence., • Optimize data storage and processing in Azure environments for performance, reliability, and cost-efficiency., • Implement best practices for data modeling, governance, and security across all platforms., • Financial Asset Management Pipeline: Build and manage data ingestion from third-party APIs, model data using dbt, and support machine learning workflows for asset pricing and prediction using Azure ML Studio. This includes ELT processes, data modeling, running predictions, and storing outputs for downstream analytics. Your Experience We’re a small, high-impact team with a broad remit and diverse technical backgrounds. We don’t expect any single candidate to check every box below - if your experience overlaps strongly with what we do and you’re excited to apply your skills in a fast-moving, real-world environment, we’d love to hear from you. • Strong technical foundation: Degree in a STEM field (or equivalent experience) with hands-on experience in production environments, emphasizing performance optimization and code quality., • Python expertise: Advanced proficiency in Python for data engineering, data wrangling and pipeline development., • Cloud Platforms: Hands-on experience working with Azure. AWS experience is considered, however Azure exposure is essential., • Data Warehousing: Proven expertise with Snowflake – schema design, performance tuning, data ingestion, and security., • Workflow Orchestration: Production experience with Apache Airflow (Prefect, Dagster or similar), including authoring DAGs, scheduling workloads and monitoring pipeline execution., • Data Modeling: Strong skills in dbt, including writing modular SQL transformations, building data models, and maintaining dbt projects., • SQL Databases: Extensive experience with PostgreSQL, MySQL (or similar), including schema design, optimization, and complex query development., • Infrastructure as Code: Production experience with declarative infrastructure definition – e.g. Terraform, Pulumi or similar., • Version Control and CI/CD: Familiarity with Git-based workflows and continuous integration/deployment practices (experience with Azure DevOps or Github Actions) to ensure seamless code integration and deployment processes., • Communication and Problem solving skills: Ability to articulate complex technical concepts to technical and non-technical stakeholders alike. Excellent problem-solving skills with a strong analytical mindset. About Us: We are a new, but growing team of AI specialists - data scientists, software engineers, and technology strategists - working to transform how an alternative investment firm with $65B in assets under management leverages technology and data. Our remit is broad, spanning investment operations, portfolio companies, and internal systems, giving the team the opportunity to shape the way the firm approaches analytics, automation, and decision-making. We operate with the creativity and agility of a small team, tackling diverse, high-impact challenges across the firm. While we are embedded within a global investment platform, we maintain a collaborative, innovative culture where our AI talent can experiment, learn, and have real influence on business outcomes.

AI Engineer [Analyst/Associate] About the job As an AI engineer on the AI team at Cerberus, you’ll work on high-impact projects that combine the pace of a startup with the reach of a global investment platform. Our team partners directly with internal investment desks as well as portfolio companies across industries to build and deploy machine learning systems that accelerate decision-making and unlock business value. You’ll design, implement and deploy production-grade AI and ML systems, ranging from NLP pipelines that extract insights from complex documents to integrating models with third-party services to streamline workflows. We’re looking for AI engineers who care about impact: people who want to see their models not just trained, but deployed, adopted, and driving measurable results. What You’ll Do • Design and deliver AI systems: Build and deploy machine learning models and data-driven products that directly impact investment decisions and portfolio company performance., • Drive measurable impact: Partner with internal desks and portfolio teams to integrate ML products into their existing workflows to drive high adoption and value., • Move fast and iterate: Work in an agile environment where experimentation, pragmatic engineering, and rapid iteration are key to creating business value., • Leverage modern tools and methods: Use contemporary ML frameworks, cloud platforms, and MLOps best practices to build scalable, reusable solutions., • Communicate insights clearly: Distill complex technical findings into concise, actionable narratives for technical and business audiences alike., • Keep learning and pushing boundaries: Expand your engineering toolkit across the full ML development lifecycle—from prototyping to deployment—and explore new architectures, tools, and approaches to solving complex, real-world problems. Sample Projects You’ll Work On • Generative AI for due diligence: Lead the rollout of our in-house GenAI platform across investment desks to automate and accelerate due diligence. You’ll configure and extend the system for desk-specific processes, run proof-of-value pilots, measure business impact, and collaborate closely with users to drive adoption and effectiveness., • Automated Deal Sourcing Workflows: Prototype experimental systems to automate early-stage deal sourcing. You’ll build integrations to extract signals from public and proprietary data sources, integrate with third-party APIs to enrich lead information, and integrate with in-house GenAI platform to create a structured data asset. This includes designing modular components for adaptability across investment strategies, running pilot deployments, and collaborating with users to refine workflows and measure sourcing efficiency. Your Experience We’re a small, high-impact team with a broad remit and diverse technical backgrounds. We don’t expect any single candidate to check every box below - if your experience overlaps strongly with what we do and you’re excited to apply your skills in a fast-moving, real-world environment, we’d love to hear from you. • Strong technical foundation: Degree in a STEM field (or equivalent experience) with hands-on expertise in applied statistics, machine learning, forecasting, NLP, computer vision, or optimization., • Python expertise: Skilled in writing production-grade code in Python (e.g., using type hints and understanding the limitations of the language) and in building data pipelines and ML models using modern libraries across multiple domains:, • Data science stack: NumPy, pandas / polars, scikit-learn, XGBoost, LightGBM, • Deep learning: PyTorch, JAX, • Statistical programming: NumPyro, PyMC, • Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries and manage data pipelines for analytics and modeling workflows., • ML Ops & deployment: Familiarity with deploying models into production using APIs or microservices, and applying ML Ops practices such as experiment tracking (e.g., MLflow, Weights & Biases), model versioning, and performance monitoring. Experience collaborating with engineering teams to ensure scalable and maintainable deployment., • Backend & service development: Experience building production-grade Python webservices (e.g., FastAPI, Flask), developing APIs, and integrating ML components into broader systems., • Software engineering practices: Comfortable with testing, code reviews, CI/CD pipelines, and version control (Git, Azure DevOps) beyond the very basics, ensuring reliable and maintainable codebases., • Infrastructure & cloud: Familiarity with cloud platforms (Azure preferred; AWS or GCP also valuable), containerization (Docker, Kubernetes), and infrastructure-as-code tools like Terraform., • Applied AI development: Experience working with LLM APIs (e.g., OpenAI) and building lightweight AI agents. Familiarity with orchestration tools like Temporal is a plus., • Collaboration and impact: Strong problem-solving ability, intellectual curiosity, and a pragmatic approach to delivering solutions that create measurable business value, while remaining statistically robust. About Us We are a new, but growing team of AI specialists - data scientists, software engineers, and technology strategists - working to transform how an alternative investment firm with $65B in assets under management leverages technology and data. Our remit is broad, spanning investment operations, portfolio companies, and internal systems, giving the team the opportunity to shape the way the firm approaches analytics, automation, and decision-making. We operate with the creativity and agility of a small team, tackling diverse, high-impact challenges across the firm. While we are embedded within a global investment platform, we maintain a collaborative, innovative culture where our AI talent can experiment, learn, and have real influence on business outcomes.

Explore the forefront of financial technology with a leader in AI-driven automation software. Python AI/API Engineer – London. Work alongside Engineers, UX & Infra teams to develop new features for the AI and analytical services, whilst still maintaining existing functionality.

Our global research covers the cards and payments, retail technology and banking automation sectors and is used by the leading market participants, analysts and regulators as the authoritative source of industry and competitor data. You will acquire knowledge of and insight into the latest developme

This is a role for an Automation Tester / SDET who wants. Have strong automation experience for.

Driven by Intelligence. Powered for the Future. Avant Intelligence is a global innovator in AI-powered robotics and intelligent inspection solutions. At the forefront of industrial digitalization, Avant develops autonomous robotic systems that enhance safety, efficiency, and reliability across energy, transportation, and EV-charging sectors. With cutting-edge expertise in artificial intelligence, computer vision, and edge computing, Avant transforms industrial inspection through intelligent automation — ensuring smarter monitoring and safer operations worldwide. As Avant continues to expand its footprint across Europe, we are seeking a highly motivated and structured Solutions Engineer to join our growing team in London UK. Job Description: Avant Intelligence is looking for a proactive and detail-oriented Solutions Engineer to support our expanding operations in London UK. The successful candidate will play a key role in delivering innovative AI-driven inspection and monitoring solutions to clients across Europe. Key Responsibilities: • Explore and validate AI and automation capabilities for quadruped robots, • Prototype lightweight integrations to support inspection, mapping, and monitoring workflows, • Conduct field testing, troubleshoot performance issues, and optimize real use cases, • Work with product and engineering teams to turn validated prototypes into scalable solutions, • Coordinate end-to-end delivery with internal teams and external partners, • Present demos, share findings, and support pre-sales technical communication with customers, • Ensure compliance with safety, data protection, and industry regulations in global deployments, • Support localization and on-site enablement in international markets What We’re Looking For: • 3+ years of experience in robotics, industrial automation, or AI solution engineering, • Hands-on prototyping skills (e.g., Python, JavaScript, or similar technical stack), • Experience integrating hardware + software and working with real-world operational workflows, • Strong analytical mindset, able to design experiments, evaluate results, and iterate quickly, • Cross-functional collaboration skills with product and delivery teams, • International project experience and ability to drive localization in overseas markets, • Fluent English; additional languages (e.g., German, Chinese) are a plus, • Curiosity for emerging AI technologies and a pragmatic approach to solution delivery Why Join Avant • Pioneering role in shaping the future of AI-powered inspection and robotics, • Flat hierarchy with direct access to decision-makers, • Competitive salary with performance-based incentives, • International and innovation-driven environment, • Dynamic, fast-growing company with global reach Location: London Start date: As soon as possible Working hours: Full-time 📩 Apply now and be part of Avant’s mission to deliver smarter, safer, and more autonomous industrial operations! Contact: Apply directly on LinkedIn

Machine Learning Scientist [Analyst/Associate] About the job As a Machine Learning Scientist on the AI team at Cerberus, you’ll work on high-impact projects that combine the pace of a startup with the reach of a global investment platform. Our team partners directly with internal investment desks as well as portfolio companies across industries to deliver machine learning solutions that unlock value and accelerate decision-making. Your work will range from developing and validating robust predictive models for pricing and valuation across diverse asset classes to dynamically optimizing prices under changing market conditions. You’ll be expected to translate complex data into actionable insights and ensure your solutions are not only technically sound but also adopted and delivering measurable business value, supporting deal team members and portfolio company executives. We’re looking for machine learning scientists who are passionate about impact—those who bring deep statistical knowledge, thrive in fast-paced environments, and want to see their models deployed, used, and making a difference. What you will do • Build and deliver AI solutions: Design and implement advanced models and systems as both an individual contributor and as part of cross-functional teams., • Drive impact through execution: Apply a hypothesis-driven approach to design solutions, collaborate with technical teams, and deliver results that create measurable business value., • Work in an agile, fast-paced environment: Rapidly iterate and adapt to changing priorities, using creativity and pragmatism to maximize outcomes., • Leverage modern tools and methods: Develop innovative solutions using contemporary platforms, languages, and frameworks, and package IP into reusable components., • Communicate insights effectively: Translate complex technical concepts into clear, compelling narratives that drive understanding and action across technical and non-technical audiences., • Build trust through delivery: Establish credibility by delivering high-quality solutions, challenging assumptions constructively, and iterating quickly in response to feedback., • Develop broad technical capability: Work across the full data science lifecycle, continuously learning and applying new technologies. Sample project you will work on: • Real estate portfolio valuation: Work on developing advanced valuation models for real estate portfolios using internal and external data sources. This includes building predictive models with uncertainty estimates, improving model performance through rigorous evaluation, and creating data pipelines to support modelling and analytics. You’ll also prototype processes downstream of valuation models, such as optimization approaches, to enhance pricing strategies, collaborating with stakeholders to integrate these solutions into business processes., • Price optimization & forecasting for goods: Develop machine learning models to forecast demand and optimize pricing strategies for goods sold by a portfolio company. You’ll build predictive models that incorporate seasonality and competitive pricing data, while quantifying uncertainty and maintaining model explainability to support robust, transparent decision-making. Your Experience: We’re a small, high-impact team with a broad remit and diverse technical backgrounds. We don’t expect any single candidate to check every box below - if your experience overlaps strongly with what we do and you’re excited to apply your skills in a fast-moving, real-world environment, we’d love to hear from you. • Strong technical foundation: Degree in a STEM field (or equivalent experience) with hands-on expertise in a least two of applied statistics, machine learning, forecasting, NLP, or optimization. Experience with uncertainty quantification, model evaluation, and statistical inference is highly valued., • Python expertise: Skilled in building data pipelines and ML models using modern libraries across multiple domains:, • Data science stack: NumPy, pandas / polars, scikit-learn, XGBoost, LightGBM, • Deep learning: PyTorch, JAX, • Statistical programming: NumPyro, PyMC, • Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries and manage data pipelines for analytics and modelling workflows., • Model development & deployment: Familiarity with deploying models into production environments, collaborating with engineering teams, and using tools like MLflow or Weights & Biases for experiment tracking and reproducibility. Proof of work in cloud environments, especially MS Azure, is a plus., • Research mindset with business impact: Ability to translate complex problems into tractable modelling approaches. Strong problem-solving skills, intellectual curiosity, and a pragmatic approach to delivering solutions that drive measurable business value., • Collaboration and Communication: Demonstrated experience working in collaborative development environments using tools like Git and Azure DevOps. Comfortable contributing to shared codebases, participating in code reviews, and managing branches and CI/CD workflows. Proven ability to work cross-functionally with data scientists, engineers, and non-technical stakeholders to translate business needs into technical solutions and ensure successful delivery and adoption. About Us: We are a new, but growing team of AI specialists- data scientists, software engineers, and technology strategists - working to transform how an alternative investment firm with $65B in assets under management leverages technology and data. Our remit is broad, spanning investment operations, portfolio companies, and internal systems, giving the team the opportunity to shape the way the firm approaches analytics, automation, and decision-making. We operate with the creativity and agility of a small team, tackling diverse, high-impact challenges across the firm. While we are embedded within a global investment platform, we maintain a collaborative, innovative culture where our AI talent can experiment, learn, and have real influence on business outcomes.

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. Our Mission At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. Vision In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilization. Solution As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs. What You'll Do: • Train policies via representation learning, behaviour cloning and RL; own the full loop from data to deployment., • Partner with teleoperations to drive data collection: specify what “good” looks like, ensure diversity/coverage, and close the gap between sim and real., • Run pre-/mid-/post-training on multimodal LLM/VLM/VLA stacks; plug in new modalities (vision, audio, proprioception, LiDAR/point clouds, …) without breaking existing ones., • Build and maintain continuous pipelines: ingest simulation + tele‑op logs, version them, apply weak‑supervision labelling, curate balanced datasets, and auto‑surface fresh failure cases into retraining., • Work with MLOps & Data Platform teams to scale distributed training and optimize models for real‑time edge inference. We’re Looking For: • 3+ years building deep‑learning systems (industry or research) with shipped models or published artifacts to show for it., • Hands‑on with at least one of: LLMs, VLMs, or image/video generative models — architecture, training, and inference., • Experience with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training strategies., • Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code., • You document experiments clearly and communicate trade‑offs crisply. Nice-to-Have: • Robotics or autonomous driving experience., • RL for LLMs or robotics (PPO, DPO, SAC, etc.)., • Proven productization of deep nets (latency/throughput constraints, telemetry, on‑device optimization)., • Publications at ICLR/ICML/NeurIPS or equivalent open‑source contributions., • Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open VLA frameworks. What We Offer: • Competitive salary plus participation in our Stock Option Plan, • UK Private Insurance, • Paid vacation with adjustments based on your location to comply with local labor laws, • Travel opportunities to our Vancouver and Boston offices, • Office perks: free breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy

We’re the UK’s largest water and wastewater company, with more than 16 million customers relying on us every day to supply water for their taps and toilets. We currently have an exciting opportunity for an Instrumentation, Control & Automation (ICA) or Control and Instrumentation (C&I) technicia

Location: Primarily remote with c1 day per month in the consultancy office in Berkshire & client visits when requested.

Software Engineer | Security Platform | London. You’ll join a world-class team solving complex engineering challenges - from distributed systems and large-scale data pipelines to real-time detection and automation.

DevOps Engineer (Mid / Snr) – SaaS – On-Prem, Kubernetes, CI/CD, Automation, Security. DevOps Engineer (Mid / Snr) – SaaS – On-Prem, Kubernetes, CI/CD, Automation, Security. Oliver Bernard are currently working with a fast-growing SaaS company, based in London, who are looking to take on sev

Integration / Automation Sales Executive ITSM. We are seeking a commercially driven New Business Solutions Sales Executive to accelerate growth across our ITSM, integration, and automation services. This is a senior, consultative sales role focused on w.

Hybrid – London | Global FinTech Innovator Our client is an established yet fast-growing FinTech specialising in high-performance market data analytics. Their platform ingests and processes terabytes of global trading data daily, powering decision-making for leading investment firms, exchanges, and research institutions. They’re now seeking a C++ Engineer to join their equities data team, helping scale the next generation of data-processing systems within a collaborative engineering leadership team. This role ideal for someone who thrives on solving deep engineering challenges in C++. The Role • Development for the firm’s equities data processing platform, working alongside other engineers and a senior architect.., • Develop and refine C++ market-data parsers and processing engines that handle high-frequency and reference data at scale., • Enhance system performance, fault-tolerance, and scalability, leveraging modern AWS-based distributed infrastructure., • Participate in a light-touch support rotation to ensure smooth daily operation of the firm’s data feeds. About You • Strong C++ development experience on Linux, delivering robust, performant systems into production, ideally 2 years or more., • Solid Python capability for orchestration, data tooling, and process automation., • Experience with large-scale financial or market data, particularly equities or other exchange-traded products., • Familiarity with modern engineering practices — CI/CD, source control, automated testing, and containerised deployment., • Excellent communication, organisational, and problem-solving skills. Contact: For further details or a confidential discussion about this opportunity, please reach out to Ciara Clarke.

Full Stack Software Engineer (2–5 years’ experience). Architect, design, and develop full-stack systems for factory automation, real-time data processing, and user-facing applications. Strong full-stack engineering experience with a generalist approach.

Senior Python developer to join our clients Network Automation team. Experience of using and building RESTful APIs using Python.

Hybrid – 2 days per week in the London Office.Expertise in Test Automation and Framework Engineering.Leadership and Strategic Influence.Multi-Specialism Technical Expertise.As a Principal Test Engineer, you’ll lead testing across multiple teams and drive automation excellence.You’ll design and

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Job Title: QA Automation Engineer (Python / PyTest / Cosmos DB)-Banking Client Exp Required. Develop, maintain, and enhance test automation scripts using Python and PyTest. Hands-on Python experience for test automation.

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Lead iOS DevOps Engineer - Mobile – On-Prem, Kubernetes, CI/CD, Swift Oliver Bernard are currently working with a fast-growing SaaS company, based in London, who are looking to take on a Lead DevOps Engineer within their Mobile team as they continue to build out their iOS capabilities. Working in a Mobile focused environment, the incoming engineer will be responsible for driving DevOps best practices across this team, and be hands-on day to day whilst leading other DevOps Engineers within this function. A well-cultured environment, the company have a sizeable team with plans to upscale across various levels. To be a suitable fit for this opening, experience with the following is required: • At least 2-3 years operating in a Lead capacity, managing others, setting in place best practices, and coaching / mentoring team members, • History of working on Mobile platforms, with prior hands-on experience across Xcode and Swift, • Containerisation / Orchestration with Kubernetes, • Extensive CI/CD work (ideally with Jenkins and / or BitBucket), • Scripting experience with Python and Bash, • Strong knowledge across Automation, Monitoring and Security This opportunity is only open to engineers currently operating at Lead level, can offer £120-140K (dependant on experience) and operates a hybrid working model (3 office days p/week required). Lead iOS DevOps Engineer - Mobile – On-Prem, Kubernetes, CI/CD, Swift

About Linda AI Healthcare runs on conversations - scheduling, intake, triage, refills, follow-ups. But humans are drowning in them. Linda AI builds autonomous healthcare agents that handle these workflows end-to-end, over voice, with the reliability and context clinical environments demand. Our agents don’t just “talk.” They understand, reason, remember, and take action inside real healthcare systems. Clinics rely on Linda every day for patient communication, operational execution, and workflow automation at scale. We’re backed by top-tier investors, and we’re growing quickly across the UK. Our Culture We’re a small, senior team that values intensity, clarity, and momentum. 🏆 We win as a team We move together, communicate openly, and expect everyone to raise the bar for each other. 🚀 We build at the frontier We operate where real-time voice, distributed systems, and agent reasoning intersect - a place where the challenges are hard and the impact is immediate. ⚡ We move fast and work hard We ship quickly, we iterate directly with customers, and we hold ourselves to a high standard because patients and clinicians rely on us. 🧭 We have strong points of view We expect engineers to think deeply, bring perspective, and help shape how autonomous agents should work in the real world. We work in person every day from our London or Dublin office - high bandwidth, high trust. The Role This is an opportunity to build the foundational systems of a frontier AI company. You’ll work across our voice layer, agent orchestration, and deep healthcare integrations. You’ll design and ship systems that must be fast, reliable, observable, and safe, because real patients depend on them. If you want to build AI that thinks, decides, and takes real-world action - this is the place to do it. You will: • Architect and build core backend systems powering our agents, • Own integrations with real clinical systems and scheduling platforms, • Improve performance, reliability, and observability across the platform, • Contribute to agent reasoning flows, memory layers, and workflow design, • Collaborate directly with founders, product, and customers, • Shape our engineering culture and long-term technical direction What You've Done • 4+ years of professional software engineering experience, • Deep expertise in Python and a track record of owning systems end-to-end, • Experience with cloud infrastructure and infrastructure as code, • Shipped and operated production systems, • Comfortable with pace, ambiguity, and high ownership, • Strong problem-solving and architectural thinking, • Product-minded — you think about how systems will be used, not just how they’re built Our Tech Stack We're building with tools that both humans and AI love: • Frontend: React, • Backend: Python and Fast API What We Offer • Competitive salary + meaningful equity, • In-person culture in London or Dublin, • Free team dinners every evening, • A senior, focused, high-output team, • The chance to build foundational technology that directly affects patient access and clinic operations, • Immediate impact — your work goes into production and touches real patients within days, not months Join Us If this sounds like the environment where you’d do the best work of your career, we want to meet you. Send us your CV, something you’re proud of — a project, repo, or even a story — and a short note on why Linda resonates with you. Let’s build the future of healthcare together.

Company Description Enchant Agency is a leading eCRM agency based in London, UK. We specialise in helping ambitious brands excel in email strategy, analytics, creativity and email technology. Dedicated to delivering impactful and effective campaigns, we work closely with clients to ensure their email marketing achieves meaningful results. Role We’re looking for an experienced HubSpot & Salesforce Marketing Consultant to support our B2B clients with lifecycle-driven marketing automation and eCRM operations. You’ll lead the build and optimisation of HubSpot campaigns and workflows, while also owning the ongoing maintenance and reliability of the HubSpot ⇆ Salesforce CRM integration. The ideal candidate will be based in the UK, Europe, or the US East Coast. This is a long-term support role; you must have experience in HubSpot and Salesforce CRM. NO AGENCIES. We are seeking to work with ONE single individual expert. Specific needs • Build, manage & optimise automations using HubSpot workflows & sequences, • Create segmented lists based on behaviour, demographics, lifecycle stage, and custom properties to support targeted email campaigns and automations, • Build dashboards and reports to track key performance metrics, • Oversee and maintain the HubSpot ⇆ Salesforce integration, including field mapping, data sync integrity, and troubleshooting, • Maintain data hygiene and property governance through effective field management, accurate data imports/exports, and standardisation protocols, • Implement dynamic content across emails, • Develop and maintain lead scoring models in HubSpot Start date January 2026

An elite global hedge fund are now seeking a Senior Network Engineer to work on it’s trading infrastructure. To apply, you will ideally be CCIE qualified with a strong background in low latency and multicast networks. Our client is a leading global market maker with an emphasis on technology to match. They seek an experienced profile who would look to build ultra-fast and reliable connectivity to proprietary trading technology, invariably around a bleeding edge Cisco environment. What you'll be doing: • Design, deploy and troubleshoot global network infrastructure, • Design industry leading networks, • Implement optimisations to build low latency network, • Work on network redesign, expansion and upgrade, • Support trading teams in relation to high frequency, • Automation, capacity planning and connectivity advancement, • Manage network expansion, upgrades and support, • Provide expert support to high frequency trading teams What exposure you'll ideally have: • LAN/WAN, Data Centres - VXLANs, • Cisco, Juniper, Arista, • Security - Palo Alto & Fortinet, • MPLS, BGP, OSPF, multicast, TCP/UDP, • Automation and Python scripting, Ansible, Terraform, • Linux operating systems, • Financial/Trading environment, • Cisco CCIE/CCDE qualified or equivalent experience in a trading environment Apply now for a fast track process, with a bleeding edge technology trading firm. Hybrid working, great culture and top end base salary + bonus paid.

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. About the Role As a Senior Firmware Engineer on the Core Platform team in London, you will play a critical role in developing the firmware that powers our next generation of humanoid robots. In this position you will work at the intersection of robotics, embedded systems, and real-time control, building the software that enables advanced motion, balance, and interaction with complex environments. You’ll collaborate closely with hardware and systems teams to integrate microcontrollers, sensors, and actuators, while designing robust, high-performance firmware and real-time algorithms. What You’ll Do • Develop and debug firmware for humanoid robots, focusing on motion control, stabilization, sensor integration and ethernet based communication., • Collaborate with hardware teams to design seamless integration of microcontrollers and peripherals., • Design and implement drivers for motors, sensors, and communication protocols., • Optimize firmware for performance, reliability, and power efficiency., • Develop and test real-time control algorithms for robotic movement and balance., • Lead and mentor junior engineers, conducting code reviews and promoting best practices., • Ensure robust security and fail-safe mechanisms in embedded systems., • Maintain technical documentation and manage version control of firmware. We’re Looking For: • 6+ years of experience in embedded systems development, preferably in robotics., • Proficiency in C and C++ for microcontrollers, with experience in RTOS (e.g., FreeRTOS, Zephyr) and bare-metal systems., • Hands-on experience with ARM Cortex, STM32, or similar platforms., • Familiarity with communication protocols such as UART, SPI, I2C, CAN, and Ethernet., • Strong understanding of control systems, kinematics, and motion algorithms., • Experience with debugging tools like oscilloscopes and logic analyzers., • Working knowledge of Git, CI/CD, and Agile methodologies., • Preferred experience with ROS/ROS 2, machine learning, or computer vision., • Experience with and/or an interest in using Rust for embedded systems What We Offer: • Competitive salary plus participation in our Stock Option Plan, • Paid vacation with adjustments based on your location to comply with local labor laws, • Travel opportunities to our Vancouver and Boston offices, • Office perks: free breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy

Founding Engineer – Full-Stack / AI / Early-Stage Startup Location: London (Hybrid 3 days onsite) Employment Type: Permanent Salary: Competitive (DOE) A fast-growing early-stage technology startup is building AI-driven products that power data-heavy workflows across digital platforms. The team operates with high ownership, fast iteration cycles, and a strong engineering culture focused on shipping meaningful features into production. They are now hiring a Founding Engineer to take end-to-end ownership of features across the full stack, contribute to AI-powered workflows, and help shape the technical architecture as the platform scales. This role suits someone who enjoys autonomy, moving quickly, and working across product, engineering, and experimentation in a startup environment. The Role You’ll design and implement production-grade features from initial concepts and designs through to deployment. Working across backend and frontend systems, you’ll help build intelligent workflows using modern AI tooling, contribute to cloud infrastructure and CI/CD pipelines, and experiment with emerging technologies in data engineering and machine learning. You’ll have meaningful influence over architecture, tooling, and product direction while operating in a highly collaborative, early-stage team. What You’ll Be Doing Product Architecture and Delivery • Translate project briefs and product designs into technical architecture and implementation plans., • Own features end-to-end across backend and frontend through to production release., • Contribute to system design decisions as the platform scales. AI and Intelligent Workflows • Build AI-driven features including agent-based workflows and embedding-driven matching systems., • Experiment with LLM-powered tools and apply them to real production use cases., • Design and optimise vector search and embedding pipelines to power semantic search, recommendation, and Retrieval-Augmented Generation (RAG) systems., • Architect and implement agentic AI systems capable of planning, reasoning, tool use, and autonomous task execution., • Explore new approaches in automation, search, and data enrichment. Deployment and Engineering Excellence • Improve and maintain CI/CD pipelines to enable fast, reliable releases., • Contribute to cloud deployments and operational stability., • Promote engineering best practices across testing, monitoring, and code quality. Experimentation and Innovation • Run technical experiments in data engineering, infrastructure, and AI., • Prototype and validate new technologies before moving them into production., • Continuously improve developer experience and delivery velocity. Ownership and Collaboration • Operate across the full technical stack in a high-autonomy environment., • Collaborate closely with product and business stakeholders., • Take responsibility for delivery quality and system performance. Core Experience • 2–3 years of hands-on engineering experience or equivalent project-based experience demonstrating ownership and impact., • Strong commercial experience with TypeScript and Node.js., • Experience delivering production features across backend and frontend systems. Mindset and Attributes • Comfortable operating in ambiguous, fast-moving environments., • Highly organised, proactive, and delivery focused., • Strong problem-solving skills and appetite for learning., • Excited about applying AI and LLM-powered tools to real-world workflows., • Thrives with autonomy and responsibility. Bonus Experience • Exposure to AWS serverless or event-driven architectures., • Mobile development experience (e.g., Flutter). Benefits • Flexible hybrid working model, • Generous Equity, • High ownership and autonomy, • Opportunity to influence architecture and product direction, • Fast learning environment with exposure to AI and modern cloud tooling, • Competitive compensation and early-stage growth opportunity Interview Process • Short introductory call, • In-person technical challenge and interview, • Culture and values interview

We’re growing fast and hiring this role across multiple seniority levels - from Mid-level through to Senior, Staff, and Principal. About the Company ___ helps businesses in Africa pay their international suppliers quickly and efficiently. Capi started with Y-Combinator Summer 2023 program, coming out of it successfully and since then we’ve raised over $18m across Seed and Series A (Q4 2024) and are on a fast growth trajectory globally with almost 80ppl; we’ve recently hit a milestone as we crossed $1BN in annualized volume and $10m in annualized revenue for the first time! Working with SMEs in Africa is opening the door for us to have an economical impact on African markets by allowing businesses to pay suppliers and partners through our platform - we are currently live across Senegal, Ivory Coast, Cameroon, Kenya, and Mali, with many more coming soon. Our team is made up of approx 75 people across 7 countries; we are a group of a highly-ambitious, get-it-done people, who like to work hard on something that has a tangible impact in the world. And we’re looking for more people to join our team! Role Overview You’ll join a small, high-performing team of engineers and product leaders shaping how we scale our platform and our impact. From your first day, you will have the opportunity to work closely with the founding team based across London & Paris to shape the product vision and all parts of our technical architecture. As we scale our products and deepen our presence across emerging markets, this is a role that builds technology to solve customer problems. To do that, you must have empathy and curiosity to get to the root cause of the issue and the creativity to build a solution that balances impact, effort, and delight. Key Responsibilities Delivery • Contribute to the product process from end-to-end, from ideation to building the UI, backend logic, deployment, feedback and measurement, • Communicate internally and externally about new features, be it collecting feedback pre-implementation or explaining them on launch, • Define and manage delivery milestones, ensuring alignment between engineering and product priorities Technical • Build intuitive and performant web interfaces for business owners in Africa, • Implement IT security and data protection best practices in a regulated environment, • Proactively drive architectural decisions e.g., improving scalability, observability, and modularity of the codebase, • Champion code quality through robust testing, documentation, and reviews Operational • Observe opportunities for improvements internally to help automate our non-tech processes and add to our tech best practices to improve our output and efficiency. Including handling production incidents with confidence Leadership • Mentor junior engineers and contribute to their professional growth through pairing, reviews, and feedback, • Represent engineering in cross-functional discussions (including Finance, Operations, Senior Leadership) to help translate business goals into technical plans, • Set and uphold team standards for communication, collaboration, and technical excellence Culture • Communicate internally and externally about new features, be it collecting feedback pre-implementation or explaining them on launch Requirements Our tech stack: Typescript, React, NextJS, NodeJS, Express, PostgreSQL • A product mindset is core to how we build - everyone at Capi is encouraged to think about the customer, the business, and the long-term impact of what we ship., • A strong understanding of web development, frontend and backend best practices. While mainly working with JavaScript technologies. Experience 5+ years in fullstack role., • Experience in a VC-backed or high-growth engineering team and building products used by customers., • You are comfortable working in an early-stage startup environment with high pace, rapid growth, involvement in the entire product development process, and a high degree of ambiguity, • Excellent written and verbal communication skills for expressing ideas, designs, and potential solutions with both technical and non-technical team members and customers, • You care about our mission and solving the problems faced by African businesses, • Based in London or Paris Bonus points if you: • Speak and write in French & English, • Experience in Fintech, payments, wallets or building ledgers, • Expertise in security and data protection best practices needed in a FCA regulated business Some projects the team has been working on: • Automated payouts and AI invoice approval, • Onboarding + payment automation with Swift network and banking partners across the world, • WhatsApp bot that creates quotes for customers based on their responses, • Self-serve onboarding flow that collects company information and KYC documents from customers, • Asynchronous workers that OCR invoices, • Internal tooling to manage and process millions of dollars of transactions What to expect when interviewing with Capi? Our interview process includes: • Screen interview with our Tech Recruiter ___ (30 mins) - Learn about the Capi story and mission. Whilst ensuring we are aligned as an exciting opportunity for what you're looking for, • Technical challenge with one of our Principal Engineers (1 hr) - Demonstrate your abilities in a whiteboard-style interview with one of our senior team members. We like to keep this as natural as possible, as if you were joining us tomorrow. This interview is to assess your skills, interests, and potential to see the impact you could make. While also ensuring Capi can support your growth, • Deep dive (1 hr) - Meet the hiring manager and explore your relevant experience and our upcoming projects, • Founder chat (30 mins) - Meet the founders to learn about Capi's growth plans, mission, and revenue targets. This is also your opportunity to ask any final questions to make sure our journey is right for you., • References, • Offer! Additional Information • This is a full-time position with competitive salary, share options, and benefits, • Ideal Start date: March 2026 (we are aware that a notice period may need to be fulfilled and can adjust accordingly) Capi is an equal opportunity employer and welcomes candidates from diverse backgrounds. We’re all about building a diverse, inclusive team at Capi. Whoever you are, we’d love to hear from you. If there’s anything you need to make the interview process easier—whether it’s accessibility support, a different format, or just a heads-up about what to expect—just let us know, we’re happy to help.