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Your role: As an Applicative DevOps Engineer, you will be responsible for maintaining and enhancing infrastructure and continuous integration pipelines, deploying new applications, and providing high-quality support and troubleshooting services. This position offers a dynamic and collaborative setting within a highly skilled technical team. Key responsibilities: Maintain and improve infrastructure and CI pipelines to ensure smooth and efficient operations. Collaborate with development teams to deploy new applications effectively and reliably. Provide troubleshooting and support to resolve issues promptly and ensure operational stability. Your skill set and expertise: The ideal candidate will have a strong foundation in both development and operational practices, with a focus on applying DevOps principles in dynamic technical environments. This role is suited to professionals looking to grow their DevOps skills or deepen their expertise in this field. Key qualifications include: Strong knowledge of computer science principles and proficiency in scripting languages such as Python or Bash. Familiarity with CI/CD processes, cloud infrastructure (e.g., AWS), and Kubernetes. Experience with Python coding, system architecture, and DevOps tools. Additional skills: Linux, Docker, GitLab-CI, Jenkins, and monitoring tools. A minimum of 7 years of relevant experience. Excellent interpersonal skills to support effective collaboration. Why join? This organisation values diversity, inclusion, and teamwork. Employees are empowered to work in an environment that supports personal growth and collective success. The role also provides access to initiatives that promote work-life balance and overall well-being.

About Motilent At Motilent, we’re changing the way we see the gut. Our mission is to transform how digestive diseases are understood, measured, and treated - tackling some of the world’s most significant and complex health challenges. We’re a profitable, growing medtech company based in London, developing world-leading technology used by hospitals and life science organisations across the globe. As demand for our products and research collaborations continues to grow, we’re expanding our engineering team to support the next phase of our journey. Working at Motilent means joining a team at the intersection of clinical science, medical imaging, and advanced technology. You’ll collaborate with researchers, clinicians, and engineers to solve complex, interdisciplinary problems - building systems and tools that push the boundaries of what’s possible in medical imaging and analysis. We’re looking for engineers who want to do more than build software - those who want ownership, growth, and the chance to be part of a team that’s genuinely changing the way we see the gut. Role Overview As a Verification Engineer, you’ll help lead verification and validation (VV) activities across Motilent’s medical imaging products, ensuring the highest standards of quality, reliability, and regulatory compliance. You’ll work closely with project managers, engineers, Technical Product Lead and Solutions Architect to define and execute verification strategies aligned with IEC 62304 and Motilent’s Quality Management System (QMS). Your work will help ensure our products meet the rigorous demands of clinical and research use. Salary: £30,000 – £40,000, depending on experience and scope of responsibilities. Key Responsibilities • Act as verification owner for assigned software components, maintaining effective, compliant, and traceable verification coverage., • Create, update, and review verification plans, ensuring clear alignment with design inputs and risk assessments., • Assemble verification reports for design reviews and regulatory submissions., • Determine verification levels appropriate to system risk, ensuring efficient and compliant testing strategies., • Manage verification resources and schedules in collaboration with engineering and product leads., • Work within a structured Agile/SCRUM environment to support transparent, iterative delivery., • Contribute to continuous improvement of the QMS, maintaining accurate documentation and verification traceability., • Define and manage clean verification environments, including all necessary data assets., • Define and review necessary and sufficient test scenarios based on a deep understanding of the product and risks within its intended use., • Conduct regular regression testing and defect identification. Required Skills • Proven experience in software verification or testing within a regulated or quality-controlled environment., • Strong time management and attention to detail, with precise documentation skills., • Familiarity with Mac, Windows and Linux environments for verification and testing., • Knowledge of RESTful APIs, front-end verification paradigms, and testing frameworks., • Awareness of ISO and IEC standards relevant to software development and quality (e.g. ISO 9001, ISO 13485, IEC 62304)., • Strong written communication and analytical reasoning skills. Nice to Have • Experience with DICOM / DICOMWeb imaging workflows., • Familiarity with Swagger, OAuth2 / OpenID, and containerised environments., • Experience with headless testing frameworks such as Selenium, Puppeteer, or Playwright., • Experience with CI/CD test automation, Git, and Atlassian tools (Jira, Confluence). Ways of Working • Operate within Motilent’s QMS, maintaining traceability and documentation as required by regulated software standards., • Collaborate closely with engineers, solution architects, QARA, and product teams to ensure alignment across development, quality, and compliance goals., • Based remotely within the UK, with occasional travel to Motilent’s central London office for collaboration, onboarding, or training., • Maintain accurate and current records of training, skills, and experience in line with QMS requirements. Benefits & Employment Details • 25 days of annual leave + public holidays, • Health Insurance Scheme, • Options Scheme, • Pension Scheme, • Full-time, Permanent, • Laptop and hardware provided, • Hybrid work arrangement: Our office is located in Aldgate East (London, UK), but we provide the option for flexible remote work from home, • UK-based applicants only: This opportunity is open to individuals with pre-existing, unrestricted rights to work full-time in the UK. We are not able to offer visa sponsorship. Recruitment process • Click Apply on LinkedIn and upload your CV., • Technical assessment - engineering challenge, up to 4 hours (async)., • Technical interview - 60–90 minutes with our Solutions Architect., • Background checks and references., • Offer.

About Us Every business needs to know who they’re really working with whether it’s suppliers, investors, partners, or third parties. At Xapien, we’re reinventing how organisations do that, combining speed, scale and accuracy with cutting-edge AI. Since 2018, we’ve grown from a deep-tech startup to a global player in AI-driven due diligence and risk intelligence. 2024 was a landmark year as we closed a $10M (£8M) Series A, earned recognition in the Chartis RiskTech100® and Everest Group’s Leading 50™, and expanded our products, markets and customer base. 2025 has already been even bigger: With new regulations, rising compliance pressure and growing reputation risks, organisations everywhere are demanding smarter, faster ways to work and they’re turning to us. Customers worldwide from global law firms and private banks to universities and nonprofits rely on Xapien to turn days of manual research into trusted insights, delivered in minutes. Our momentum so far Customers in a diverse range of industries, with particular growth in wealth management, insurance, financial services and supply chain onboarding. Demand accelerating beyond our UK headquarters, across multiple continents with new customers in the Middle East, Asia, and Oceania. Why this is an exciting time to join This is not just another tech job, it’s a chance to shape the direction of the due diligence industry with our market-leading product. Whether you’re in engineering, data science, product, AI/ML or infrastructure, you’ll be solving hard, high-impact problems: scaling distributed systems to fuel explosive growth, making sense of multilingual and unstructured data, applying AI/ML to real-world risk, and delivering insights that organisations can trust in high-stakes environments. We’re scaling fast with more customers, more releases, bigger regulatory challenges and a growing expectation that “due diligence” means not only real-time insight, but conducted at pace and cost-efficiency. You won’t just be shipping features, you’ll be shaping architecture, tooling, models, and pushing the boundaries of what’s possible. For people who love learning The Challenge Our product is experiencing tremendous demand, presenting us with the exciting challenge of scaling our platform and technology. We need to deliver accurate insights while doubling down on how we architect, coordinate, and maintain our subsystems. We’re doing all of this against a backdrop of continuous innovation and refinement. The Role We are looking for a Fullstack Engineer (Go + React) to help scale and evolve the core Xapien platform as we grow rapidly. Working directly with our Head of Engineering, you will play a key role in shaping the future of our product. This position involves a mix of backend and frontend development, systems design, and collaborative problem solving across the stack. We are seeking someone with a strong background in modern web development and microservice architecture, and a mindset for clean, maintainable code. Here’s what you will be responsible for: • Designing and building scalable microservices in Go, as part of a growing platform architecture., • Developing intuitive and performant React components to enhance our frontend experience., • Collaborating closely with product and design teams to turn complex user needs into elegant technical solutions., • Writing clean, testable, and maintainable code across the stack., • Participating in architectural discussions and helping shape engineering best practices., • Troubleshooting and resolving production issues across services and systems., • Contributing to CI/CD pipelines, observability, and automation alongside platform engineers. Your Skills & Experience: Must-haves to be successful in this role: • Strong experience writing backend services in Go., • Proficiency in React and modern JavaScript/TypeScript., • Solid understanding of microservices architecture, RESTful APIs, and service-to-service communication., • Experience working with cloud infrastructure (e.g. AWS, GCP or Azure)., • Strong grasp of software engineering fundamentals: testing, documentation, performance, reliability., • Excellent communication and collaboration skills: you're comfortable working cross-functionally with engineers, designers, and product managers., • A team-first mindset: open to feedback, different perspectives, and alternative approaches to coding and code styles. Nobody can do everything, but here are a few related things we’re interested in: • Experience working lower in the stack, e.g., databases, infrastructure, Kubernetes, or observability tooling., • Exposure to CI/CD tooling, • Interest in natural language processing, AI, or distributed systems. Here’s our promise to you: • We are going to work with you – to build a rewarding and fulfilling career with the opportunities, challenges and resources you need to do your best work., • We succeed together – you will own a meaningful part of the business through our employee shares & equity programme., • Private health insurance to keep you in tip-top condition., • Life Insurance – let's hope nobody ever needs this!, • Unlimited holidays – yes, it really is uncapped – take the time you need, when you need it., • Everyone is learning, developing and challenging themselves – so we have a £1k professional development fund per year if you want to learn new skills, even new things outside of work., • Most importantly of all, we will work with you to help you realise your fullest potential, always.

At Sahaj Software, we’re not just shipping pipelines - we’re designing purpose-built data platforms that solve complex challenges for some of the UK’s most forward-thinking organisations. We believe in craftsmanship, autonomy, and trust. No hierarchies and no bureaucracy, just small teams solving big problems with modern tech. Why this role? As a Senior/Lead Data Engineer, you’ll own the design and delivery of scalable data platforms, pipelines, and architectures that power real business decisions. You’ll work closely with data scientists, engineers, and stakeholders to transform messy data into clean, reliable, and production-grade systems. This is a hands-on, high-impact role where you’ll influence technical direction while staying close to the code. Perfect if you want scope for growth without going “post-technical.” What you’ll do • Design and build modern data platforms using Databricks, Apache Spark, Snowflake, and cloud-native services (AWS, Azure, or GCP)., • Develop robust pipelines for real-time and batch data ingestion from diverse and complex sources., • Model and optimise data for performance, visibility, and downstream analytics/ML use cases., • Champion best practices: CI/CD, TDD, GitOps, observability, schema validation, and data quality., • Collaborate with data scientists and ML engineers to deploy production-grade AI/ML systems., • Guide clients on data strategy, architecture, and platform modernisation., • Mentor and influence engineers across Sahaj, helping grow our collective data engineering capability. What we’re looking for • Solid experience as a Senior/Lead Data Engineer in complex enterprise environments., • Strong coding skills in Python (Scala or functional languages a plus)., • Expertise with Databricks, Apache Spark, and Snowflake (HDFS/HBase also useful)., • Experience integrating large, messy datasets into reliable, scalable data products., • Strong understanding of data modelling, orchestration, and automation., • Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerisation (Docker, Kubernetes)., • A craftsman’s mindset: you care about code quality, maintainability, and doing things the right way. What you’ll get at Sahaj • Unlimited annual leave – we trust you to manage your time., • Open salaries & stock options – transparency from the ground up., • Private health & life insurance – covered by us., • Flat structure, no hierarchy – you own your work, and your voice counts.

About the Company Every hour, millions of sports fans lose hard-earned cash on suboptimal bets — and this company is changing that. Ranked among the top three social media identities in the U.S. gambling space, they are arming fans with market-beating insights, tips, and data, all powered by cutting-edge, in-house algorithms. Their flagship digital B2C subscription product launched in October 2024 and has since been experiencing very rapid growth — currently doubling revenues every 1–2 months while maintaining healthy 40%+ profit margins. It combines top-rated human expertise with market-leading AI algorithms, delivering world-class analytics and insights straight to the fingertips of thousands of subscription customers. Leveraging industry-leading social channels with millions of engaged followers, they’re scaling the consumer product through their massive social reach. With a lean but highly capable team of engineers, designers, and product leaders from top-tier companies such as Meta and Alibaba, the company is now entering an exciting scale-up phase. This is a unique opportunity to join and directly shape a pioneering consumer product. Role Overview We are looking for an outstanding Senior Software Engineer to join our fast-moving journey. You’ll be a key contributor across the stack in our Rust-based environment, building intuitive experiences and scalable systems while influencing product direction. We value recent impact above all else: what you’ve shipped, how you’ve solved problems, and the ownership you’ve shown in your most recent role. You’ll partner with product and data teams to deliver features that delight users, drive retention, and boost business value. This role also offers the chance to mentor others, shape engineering culture, and play a critical role in our growth story. Key Responsibilities • Drive the development and scaling of GameScript to deliver best-in-class insights to sports fans, • Design, build, and maintain production systems (frontend and backend) using Rust, • Partner with product and design teams to turn ideas into fully functional features, • Contribute to strategic decisions on product direction (e.g., integrations, AI-powered algorithms, tooling for fans), • Rapidly test and iterate based on customer feedback and analytics, • Improve system scalability, reliability, and performance, • Lead code reviews, mentor engineers, and support hiring as we grow, • Take ownership from concept to delivery, including infrastructure (deployments, observability, CI/CD) Must-Have Qualifications • 5+ years in software engineering (flexible if skills and impact are strong), • Strong foundations in typed languages (e.g., C++, Scala, Rust, Java, C#, Swift), • Strong understanding of core programming concepts, including variable assignments and memory allocation (stack vs. heap), • Proven track record of recent impact: delivering features, improving systems, solving real-world challenges, • Comfort adapting to new languages and stacks quickly, • Experience in smaller/startup environments (ownership mindset, thrives in ambiguity), • Strong communication and collaboration skills; disciplined in reviews and documentation, • Degree in Computer Science, Engineering, or related field (top-tier university preferred) Desirable Experience • Hands-on experience with Rust (or willingness to learn — our current team picked it up on the job), • Cloud infrastructure: Kubernetes, GCP, Cloudflare, Terraform, • Databases: SQL-like, especially SurrealDB, • Leadership qualities: mentoring, project ownership, stakeholder management, • Exposure to sports betting, gambling, or adjacent domains (not required) What Success Looks Like (6–12 Months) • You’ve shipped high-impact features end-to-end, driving real user engagement, • You’ve taken ownership of key systems and improved performance/reliability, • You’re mentoring others and helping to build a strong engineering-first culture, • You’ve influenced architectural decisions and contributed to our tech evolution, • You’re fully fluent in our Rust-based stack and pushing its boundaries What We Offer • Join early and directly shape a consumer product at scale, • Work across the stack, from backend systems to frontend UX to internal tooling, • Operate at the intersection of algorithmic insights, AI, and social media, • Collaborate closely with a talented, supportive, and ambitious team, • Competitive salary with a performance-based bonus designed to reward your impact, • Private health insurance, fitness incentives, and free daily lunch (often dinner as well), • A fast-paced, intellectually challenging environment where ideas matter and careers grow, • The rare opportunity to be part of the founding team of a first-of-its-kind consumer product in sports betting

Who We Are Cint is a pioneer in research technology (ResTech). Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more. The Cint platform is built on a programmatic marketplace, which is the world’s largest, with nearly 300 million respondents in over 150 countries who consent to sharing their opinions, motivations, and behaviours. We are feeding the world’s curiosity! Job Description The Opportunity Cint seeks a Cloud Infrastructure (DevOps) Engineer to join our Infrastructure team, reporting to the Infrastructure Engineering Manager. As a Cloud Infrastructure (DevOps) Engineer at Cint, you will be an efficient problem solver, learn on the fly and make decisions quickly. You will have the opportunity to work with the latest technologies, we always strive to be at the forefront of the latest tech stacks and tools used within our domain. Your focus in the role would be: • Work as part of the Infrastructure team on sprints that evolve our core platform and systems, • Provide point of expertise on infrastructure and CI/CD to our wider engineering teams - often working as part of their scrum on larger projects, • Automate the build and deployment of software to our cloud platform and help the organisation do it more efficiently and effectively. Eliminate all repetitive manual operations from our daily lives, • Improve our monitoring and alerting systems to enable engineering teams to successfully operate and gain insights into the behaviour of applications in “hands-off” environments, • Participate in an on-call rotation and assist with troubleshooting issues that arise The Team The Infrastructure Team’s mission is to design, build and develop secure and highly available infrastructure, but also to provide a self-service environment that enables software development teams to move fast, stay compliant and take end-to-end responsibility for their products. Major elements of our platform include AWS (we make significant use of S3, RDS, Kinesis, EC2, EMR, ElastiCache, ElasticSearch and EKS). Elements of the platform will start to expand into GCP (Compute Engine, Cloud Storage, Google Kubernetes Engine and BigQuery). Other significant tools of the platform include Linux, Terraform, Kubernetes, Docker, Packer, Ansible and Jenkins. We support applications and services written in Golang, Python, Java, Scala and .Net. We monitor and alert on everything we deploy via Grafana, Prometheus, Graphite and ELK stacks. The team holds itself accountable to a high standard of build quality. We have recently completed the first major phase of a completely green-field infrastructure and platform rebuild that is designed to underpin Cint’s business applications for the next decade. We are compulsive about infrastructure as code (nothing in our platform is created or deployed unless via a code change) and driven to achieve a full end to end continuous deployment pipeline. What We Are Looking For • You will be someone that shares our values and ambitions and can bring something to the team that we can benefit from. It might be prior experience of the journey, architectural insight into cloud native systems, specific technology expertise in parts of our stack or a combination of them all. Whatever it is, you will be the kind of person that is energised by complex challenges, teamwork and problem solving. Qualifications Required qualifications: • You have experience in predominantly cloud infrastructure roles (AWS) working within teams that practice DevOps, • You can interact confidently with cloud platforms including AWS & GCP via CLI and/or API, • You have expertise and solid experience in deploying infrastructure as code with, at minimum, Terraform and ideally some of the supporting cast (Ansible, Packer), • You have excellent knowledge of building and running Docker images/containers, • You have excellent knowledge and understanding of the software development lifecycle, including the use of git and continuous integration tools (Jenkins’ Groovy DSL, TravisCI, GitHub Actions etc.), • You have a grasp of “cloud native” and 12-Factor applications, • You have good knowledge of monitoring and alerting using one or more of: Graphite, Statsd, Prometheus, Grafana, PagerDuty, • You have good knowledge of the network stack at L4 and L7, particularly inter VPC routing, • You have some experience with managing DNS and resolver hierarchies, • You can debug HTTP APIs and understand other L7 protocols, • You have experience at administering Kubernetes, • You have specific cloud security expertise (threat assessment, attack surface management, SGs, NACLs, data security), • You have experience of building and running Windows servers in AWS, • You have experience of continuous deployment strategies and technologies (Blue/Green, DNS or LB weighting, automated regression testing, Spinnaker, CodeDeploy, Jenkins for CD) Additional Information Our Values Collaboration is our superpower • We uncover rich perspectives across the world, • Success happens together, • We’re pioneers in our industry, • Our curiosity is insatiable, • We’re accountable for our work and actions, • Excellence comes as standard, • We learn from each other’s experiences, • Stop and listen; every opinion matters, • We embrace diversity, equity and inclusion. More About Cint We’re proud to be recognised in Newsweek’s 2025 Global Top 100 Most Loved Workplaces®, reflecting our commitment to a culture of trust, respect, and employee growth. In June 2021, Cint acquired Berlin-based GapFish – the world’s largest ISO certified online panel community in the DACH region – and in January 2022, completed the acquisition of US-based Lucid – a programmatic research technology platform that provides access to first-party survey data in over 110 countries. Cint Group AB (publ), listed on Nasdaq Stockholm, this growth has made Cint a strong global platform with teams across its many global offices, including Stockholm, London, New York, New Orleans, Singapore, Tokyo and Sydney. () Additionally, in a world of AI, we want our candidates to understand our approach to the use of AI during the interview and hiring process, so we'd appreciate you reading our ___.

A leading UK bank is seeking an experienced Salesforce Engineer. You’ll be at the heart of designing and building innovative Salesforce solutions – delivering secure, scalable applications, optimising user experience, and ensuring the platform is resilient and future-ready. This is a chance to work in a collaborative, forward-looking environment where your technical expertise will shape strategy, your craftsmanship will solve complex challenges, and your passion for engineering will inspire excellence across the team. Accountabilities • Build Engineering – Configure and customise Salesforce solutions using Flows, Apex, Aura, LWC, and OmniStudio to deliver scalable, upgradeable, and low-technical-debt applications., • Integration – Design and implement secure, high-performing integrations with APIs, middleware, and event-driven patterns to ensure seamless data flow and system interoperability., • DevOps & Automation – Apply branching strategies, CI/CD pipelines, test automation, and 2GP packaging to enable efficient, repeatable, and low-risk releases., • Quality & Reliability – Own delivery from development to production, with test automation, deployment plans, and monitoring in place to ensure resilience and reduce recovery time., • Security & Compliance – Follow secure coding practices (CRUD/FLS, least privilege, encryption) and governance standards to protect sensitive data and meet regulatory requirements., • Collaboration – Work closely with architects, product owners, and cross-functional teams to align solutions with enterprise strategy and business outcomes., • Continuous Improvement – Champion evolving engineering practices, contribute to Agile ceremonies, and trial new tools and processes to improve efficiency and predictability., • Mentorship – Support junior team members through structured onboarding, coaching, and code reviews, building a culture of technical excellence. Expectations • Translate business requirements into robust, scalable Salesforce solutions., • Provide technical leadership in Salesforce architecture, integration, and DevOps practices., • Proactively address technical debt, ensuring long-term platform stability and cost efficiency., • Act as a trusted advisor to stakeholders, influencing technology direction and delivery priorities., • Foster a collaborative culture that values innovation, craftsmanship, and continuous learning., • Contribute to communities of practice, sharing knowledge and best practices across teams., • Uphold engineering and compliance standards, ensuring solutions remain secure and audit-ready. Skills & Competencies • Expert-level Salesforce data architecture, Flows, Apex, LWC, and OmniStudio., • Strong integration expertise (APIs, ETL, asynchronous/event-driven architecture)., • Proficiency in Salesforce DevOps (Salesforce DX, CI/CD pipelines, 2GP packaging)., • Skilled in SOQL/SOSL optimisation and scalable data modelling., • Strong grasp of Salesforce design patterns, component-based development, and secure coding practices., • UI/UX development aligned with accessibility standards (WCAG) and responsive design., • Advanced version control (Git) and deployment tools (Salesforce DX, Copado, Gearset)., • Experience in AppExchange evaluations and Build vs. Buy recommendations., • Proven ability to mentor, collaborate, and communicate effectively across technical and non-technical stakeholders., • Experience in agile delivery, contributing to iterative, high-quality product development. Certifications • Required: Salesforce Certified Platform Developer, • Preferred: Salesforce Certified Application Architect, Salesforce Certified System Architect This is a hybrid role based in London.

About Us Finalto is a global leader in liquidity provision and trading technology solutions, serving institutional and B2B clients across financial markets worldwide. With regulated entities in the UK, Singapore, Cyprus, Australia, and the UAE, and additional operational teams in Denmark and Bulgaria, we combine international reach with local expertise. Our business spans multi-asset liquidity, risk management, and cutting-edge trading platforms, supporting clients in achieving more efficient and sustainable growth. At the core of our success is our commitment to innovation, operational excellence, and robust governance. As part of a global financial services group, Finalto combines the scale and stability of an established organisation with the agility of a fintech innovator. We are driven by collaboration, integrity, and performance. Joining Finalto means becoming part of a diverse and dynamic team where your contributions have real impact. We invest in our people, offering opportunities for professional growth, international exposure, and the chance to shape the future of trading technology and liquidity solutions. Job Description We are seeking an experienced DevOps Engineer to join our team in London, working closely with our DevOps Technical Lead based in Copenhagen. This role is critical in bridging development and operations, ensuring smooth CI/CD processes, robust infrastructure management, and secure operations across private data centres and AWS cloud environments. The ideal candidate will have strong expertise in Infrastructure as Code (Terraform) and Configuration as Code, alongside hands-on experience with self-hosted CI/CD platforms (Octopus Deploy, TeamCity) and BitBucket. Key Responsibilities • Design, implement, and maintain CI/CD pipelines using TeamCity, Octopus Deploy, and Git-based workflows for automated builds, testing, and deployments., • Manage and optimize hybrid infrastructure spanning on-premise private data centres and AWS., • Develop and enforce Infrastructure as Code and Configuration as Code practices across environments., • Ensure system reliability, scalability, and security through proactive monitoring, alerting, and automation., • Troubleshoot and resolve complex infrastructure and application issues in production environments., • Collaborate closely with the DevOps Technical Lead (based in Copenhagen) and cross-functional teams (developers, QA, operations and ITOps)., • Implement disaster recovery, backup, and high-availability strategies., • Advocate for modern DevOps practices and contribute to continuous improvement initiatives. Qualifications & Experience • 5+ years of hands-on DevOps, infrastructure, or systems engineering experience., • Strong expertise in Infrastructure as Code and Configuration as Code., • Proven experience with CI/CD tooling, especially Octopus Deploy, TeamCity and BitBucket., • Solid background in Linux/Windows system administration., • Hands-on experience with AWS services (networking, IAM, compute, storage)., • Familiarity with containers and orchestration (Docker, Kubernetes)., • Proficiency in scripting (Bash, Python, or PowerShell)., • Experience with monitoring and observability tools (Prometheus, Grafana, ELK, or equivalent)., • Understanding of compliance/security frameworks (e.g., GDPR, SOC2, PCI DSS). Soft Skills • Strong problem-solving and troubleshooting mindset., • Excellent communication and collaboration skills across distributed teams., • Ability to work independently in a fast-paced environment., • Detail-oriented, proactive, and results-driven. Education & Certifications • Bachelor’s degree in Computer Science, IT, Engineering, or equivalent experience., • AWS Certified DevOps Engineer / Solutions Architect,, • Kubernetes certifications (CKA/CKAD), • Security/compliance-related certifications

We are working with a growing VC-backed technology company that's revolutionising how software is built and deployed. At the forefront of AI-powered automation, creating innovative solutions - this organisation is continuing to evolve and is looking for a Senior Backend Engineer. You'll be responsible for building and evolving backend services, integrations, and workflow logic for cutting-edge SaaS applications. Key Focus Areas: • Work with automation-generated code and make it production-ready, • Build robust backend services using Python APIs and data workflows, • Create seamless integrations with external systems, • Champion AI-assisted development practices across the engineering team What You'll Do: • Own backend features and API integrations (Python, FastAPI, gRPC, SQL), • Adapt and extend auto-generated pipelines and front-end outputs, • Build connectors for APIs, files, and external systems, • Integrate LLM-based capabilities with robust evaluation and monitoring, • Champion AI-assisted development practices and tools, • Set up guardrails and context packs for AI-powered workflows, • Mentor team members on AI development best practices, • Help the team ship high-quality code faster using AI tools, • Work closely with cross-functional teams including Solution Strategists, Data Platform, and Support teams, • Contribute to architectural decisions and technical strategy What We're Looking For: • Strong Python backend/API development experience, • Solid SQL and data modeling capabilities, • A solid background within start-ups and able to work on multiple projects similtaneously, • Proven experience with integrations (APIs, SFTP, SharePoint, webhooks), • Hands-on experience with workflow orchestration tools (Temporal, Dagster), • Comfortable working with and improving generated code, • Experience with CI/CD pipelines, Docker, and cloud platforms (Azure/AWS/GCP), • Understanding of modern software architecture patterns Please apply for more information.

Our vision From blockbuster films and AAA games to immersive experiences, the demand for photo-real 3D content has never been higher - but creating photorealistic assets is slow, expensive, and manual with no current scalable solution available. At M-XR, our mission is to democratise the creation of high-quality 3D assets and empower brands, studios, and creators to build infinite photo-real 3D experiences. Our proprietary technology Marso allows anyone to capture real-world objects into production-ready photorealistic digital twins with unmatched material (PBR) accuracy - enabling the first real-world PBR capture pipeline that can operate anywhere. Marso is trusted by the most demanding studios in film and gaming. We see the future of 3D as AI-assisted, and we’re building the tech to make that happen. We are creating the world’s highest quality and most comprehensive 3D-PBR data-set and training the next generation of AI models to assist artist workflows. See the result yourself — passcode: scaneverything About the role ✨ We are looking for a Senior Backend Engineer to join the team and be the driving force that designs, builds and scales the backend application services for our web platform. At M-XR we developed Marso as a way to capture real-world PBR material data alongside conventional photogrammetry from simple flash photography. Marso is now actively being used by an array of studios, brands & museums to digitise previously unobtainable assets at scale. This gives us one of the most unique and physically accurate 3D datasets in the world. Now we’re building an ML-powered pipeline that can automatically predict material properties (diffuse, roughness, specular, metallic, normals) from photogrammetry input alone - without flash. This is made possible by tapping into our uniquely rich dataset of real-world material scans. Our goal is to remove the need for manual texturing and enable full end-to-end automation, from photos to PBR assets at high fidelity and scale. You’ll be helping bring this technology to market. We are creating a web SaaS platform that will bring completely new capabilities for PBR generation to artists world-wide based on state-of-the-art AI models that we create. Where you will have impact! 🚀 As the Senior Backend Engineer for our web platform, you’ll be responsible for bringing a completely new product to market based on state-of-the-art AI capabilities. You will: • Define, build and maintain the backend application services for our web SaaS platform, enabling new 3D-PBR asset creation workflows., • Work with frontend developers to design and implement high-performance APIs that deliver exceptional user experiences., • Integrate with ML infrastructure to orchestrate model workflows, manage job queues, and deliver results to users. This is a high-impact role for someone that loves to define and bring completely new technologies to market - with the experience that defines how we do it. What you will do • Design and implement user-facing APIs to support frontend user flows (FastAPI), • Build robust user authentication, authorisation, and account management (Auth0), • Integrate payment processing and subscription management (Stripe), • Design and manage user databases and data models (MongoDB, PostgreSQL), • Implement asset storage, retrieval, and management systems (AWS S3), • Build job queue management for async ML workflows (SNS, SQS), • Setup application monitoring and logging (CloudWatch, Grafana, Prometheus), • Implement CI/CD for application deployment (Bitbucket Pipelines), • Create API documentation and developer tools What we are looking for • 5+ years backend development experience with production applications, • Track record with at least one live application currently serving users in production, • Proven experience designing and implementing RESTful APIs at scale, • Strong experience with Python and modern web frameworks, • Comfortable working in TypeScript for frontend integration debugging, • Experience in building infrastructure for image / video / 3D or graphics-intensive / data-intensive web apps Bonus points • Experience working with researchers, product engineering and product managers bringing new AI capabilities to market, • A love of games, films and understanding of photogrammetry, scanning, graphis, rendering and AAA 3D asset creation. What we offer • The chance to shape the future of 3D content creation in a fast-moving startup, • Direct contact & close relationships with some of the biggest game & film studios globally using M-XR's technology, • Work with passionate engineers, artists, and researchers at the frontier of graphics & AI, • Unique opportunities for professional growth, autonomy, and leadership, • Competitive salary and equity, • Flexible hybrid working, • Visa sponsorship for international candidates Interested? If you are interested in this role, we would love to hear from you! Please email us at List the job title in the description, and please provide a cover letter & CV.

Job Summary This role is to design, build, and scale enterprise cloud platforms with a strong focus on automation, reliability, and developer experience. As part of the Cloud Infrastructure & DevOps team, you will build multi-cloud infrastructure that powers hundreds of production services, including critical Salesforce DevOps pipelines. You’ll partner closely with development, security, and operations teams to deliver scalable, secure, and self-service platforms that accelerate business outcomes and customer value. What you will do: • Architect, build, and operate cloud platforms across Azure using Kubernetes as the core orchestration layer., • Implement and maintain Helm charts, Service Mesh (Istio/Linkerd), and GitOps workflows., • Lead CI/CD automation using Azure DevOps (ADO) and YAML pipelines, including Salesforce-specific pipelines., • Build and maintain Infrastructure as Code (IaC) using Terraform and Ansible., • Design highly reliable, scalable, and secure infrastructure supporting performance-critical workloads., • Build proactive monitoring, observability, and alerting with Prometheus, Grafana, Azure Monitor, DataDog, and Dynatrace., • Troubleshoot complex system issues spanning applications, networks, and infrastructure., • Define platform SLAs, SLOs, and governance standards for self-service use., • Collaborate closely with Salesforce DevOps teams to ensure seamless, reliable deployments., • Participate in on-call rotations to support production and pre-production environments., • Drive infrastructure compliance, DevSecOps, and policy-as-code practices. What we expect of you • Minimum 5 years of experience in Platform Engineering, Site Reliability Engineering (SRE), or DevOps roles supporting cloud-native enterprise environments, • Proficient in Microsoft Azure and AWS platforms with hands-on experience in Kubernetes (AKS/EKS), Helm charts, and service mesh technologies such as Istio or Linkerd, • Strong knowledge of CI/CD automation using Azure DevOps, including Repos, Pipelines, and Artifacts, • Expertise in Infrastructure as Code with Terraform and Ansible, along with scripting in PowerShell, Python, or Bash, • Experience implementing GitOps workflows and managing platform SLAs, SLOs, and governance standards, • Familiarity with observability and monitoring tools including Prometheus, Grafana, Azure Monitor, DataDog, or Dynatrace, • Preferred experience supporting Salesforce DevOps pipelines and working with Java, .NET, or Node.js application environments, • Exposure to AI/ML platforms, real-time data pipelines, and basic networking (TCP/IP, DNS, firewalls, load balancing), • Relevant certifications such as Certified Kubernetes Administrator (CKA), Microsoft AZ-400, or HashiCorp Terraform Associate are advantageous, • Strong interpersonal skills including clear communication, collaboration across teams, adaptability in fast-paced environments, and a proactive mindset with a focus on reliability, performance, and developer enablement

A leading global investment firm is seeking a Weather Data Engineer to help build proprietary weather analytics and infrastructure that directly powers alpha generation across its commodities trading strategies. This is a high-impact opportunity to work at the intersection of data engineering, meteorology, and AI-driven forecasting. Weather data is central to the firm's edge - from raw satellite observations to climate simulations and proprietary model outputs. You'll be part of a specialist team driving innovation in how weather data is ingested, transformed, and deployed across the investment process. Responsibilities: • Design and maintain scalable, cloud-native (AWS) pipelines for ingesting and processing real-time and historical weather data., • Build robust APIs and data services to serve weather data and AI model outputs to researchers, quants, and traders., • Support the development and deployment of proprietary forecasting models, including workflows for blending, debiasing, and fine-tuning., • Collaborate with meteorologists, data scientists, and AI researchers to onboard new datasets and accelerate research., • Implement automated data validation, monitoring, and alerting to ensure reliability and uptime., • Continuously improve infrastructure to reduce time-to-insight and enhance operational scale. Required Skills: • 5+ years of experience building production-grade data systems, ideally in a scientific or financial setting., • Strong Python skills and deep understanding of system architecture and cloud-native development (AWS)., • Experience with weather/climate datasets (e.g., GRIB, NetCDF, HDF5) and sources like NOAA, ECMWF, GFS., • Solid grasp of time-series and geospatial data concepts., • Familiarity with collaborative software development practices (CI/CD, version control, testing)., • Bonus: experience with distributed computing (Spark, Dask), container orchestration (Kubernetes, Airflow), and dashboarding/uncertainty quantification. This is a rare chance to build differentiated infrastructure that directly supports alpha generation. You'll work closely with world-class researchers and technologists and help shape the future of weather-driven analytics in commodities trading. If you're passionate about building scalable systems and want to work at the cutting edge of data, weather, and AI - apply today!

Data Scientist [Analyst/Associate] About the job As a Data 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 data 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.

Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 About the Company Our client is an extremely well know, digital marketplace focused on sustainable ecommerce. With over 35 million of active users globally, they’re redefining how people buy and sell second-hand fashion, aiming to make the future of style both circular and accessible. The company has offices in UK, EU and US and experienced significant growth especially around the US market and now operates as part of a leading global e-commerce group. They pride themselves on fostering inclusivity, creativity, and innovation and values that extend to both their community and their teams. The organisation champions diversity, equal opportunity, and flexible working. They offer a progressive benefits package designed to support wellbeing, learning, and work-life balance. The Role of Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 Our client is seeking an experienced Machine Learning Engineering Manager to lead the reccomendation team. This person will drive innovation in how users find and engage with products through advanced machine learning models improving search relevance, personalisation, and conversion outcomes at scale. You’ll lead a talented team of ML Scientists and collaborate cross-functionally with product, data, and engineering leaders to define and execute the ML roadmap for search. This is an opportunity to have tangible business impact while working with cutting-edge technology in NLP, computer vision, and multimodal retrieval. Key Responsibilities for the Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid, 1 Day PW, Up to £140,000 • Lead, coach, and develop a team of ML Scientists, fostering a culture of experimentation, collaboration, and continuous learning., • Partner with Product, Data, and Engineering leaders to shape and deliver an actionable ML strategy that drives engagement, conversion, and growth., • Oversee the design, training, and deployment of search and recommendation models — from data strategy to monitoring and performance optimisation., • Collaborate with platform and MLOps teams to ensure robust, efficient, and scalable ML workflows (including CI/CD, feature management, and monitoring)., • Share insights and best practices across other ML teams, particularly in areas of recommendations, ranking, and multimodal representation learning., • Stay current with emerging research in NLP, CV, and multimodal retrieval; champion responsible AI principles; and communicate findings to both technical and non-technical audiences. Requirements for the role: • 7+ years of experience in applied machine learning with a proven track record delivering production models at scale., • At least 2 years of leadership experience managing ML Scientists or Engineers., • Deep expertise in search and recommendation systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms)., • Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow., • Strong grounding in experimental design, A/B testing, and the use of offline/online metrics to guide product strategy., • Excellent communication and stakeholder management skills, with the ability to bridge complex ML concepts for diverse audiences., • Familiarity with AWS and Databricks., • Experience with search infrastructure (e.g., OpenSearch or Elasticsearch). What can they offer you? • Private health and mental wellbeing coverage, including access to counselling and coaching., • Salary of up to £140,000+Bonus & Benefits, • 25 days annual leave, plus additional company-wide rest days and volunteer leave., • Flexible hybrid working, with the option to work abroad for limited periods., • Generous parental, IVF, and carer leave policies., • Learning and development budgets for conferences, mentorship, and skills growth., • Pension matching, life insurance, and recognition for service milestones. If you are interested in the Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 then drop over your CV and we will give you a call if we think you are a good fit!

We are a small London startup with the ambition to change education with ML-powered tutoring. Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible to everyone. We are building a fundamental model for education - one that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Senior ML Engineer with a proven track record of delivering ML models to production. What you will do 🚀 • Build fundamental models for education - solving the ultimate learning task of predicting student knowledge and optimal ‘next task’, • Work with a vast amount of unique data - we have data from over 1M language tests, including text and voice data, • Create brand new dictionaries, applicable to any context - right now it’s the English language, but in the future it could be other languages or even subjects such as Mathematics, • Analyse large amounts of diverse data - including data from every movie, book, and song, • Work in a cross-functional team and communicate with backend engineers and product managers, • Create new types of tests for language learners to gather more test results, analyse them, and build prediction models based on these results, • Optimise and fine-tune machine learning models for performance, scalability, and accuracy Essential skills 🙏 • Complete end-to-end experience - from finding and cleaning data all the way to monitoring models in production, • Experience working with entire ML systems and data pipelines in large-scale production systems, • Experience building automated data pipelines, • Strong understanding of CI/CD pipelines and automation tools for efficient model deployment and monitoring, • Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers, • Great knowledge of NLP algorithms, • Expertise in Python and PyTorch Desirable Skills 👌 • Can speak, or learning to speak, more than one language, • Experience with reinforcement learning, • Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.), • Experience using voice data in ML models What we can offer ✨ • A real-deal startup adventure: you'll be hopping on a major project while it's still in the works!, • Freedom to suggest, implement, and test ideas, • Unlimited learning & development budget (courses, conferences, books etc.), • Lunch provided by the company every day, • Regular social events, • 25 days annual leave + public holidays, • Work from our London office Interview Process 🧪 • 3 interviews, which will be mixture of technical and non-technical tasks, • If all the interviews are successful, we’d like to invite you to 2 or 3 paid trial days, or to complete short project remotely with us, to learn what it’s like to work at Glite

React Native Technical Lead – EdTech | Remote (UK) | Up to £85,000 Location: Fully remote (within the UK) Salary: Up to £85,000 + benefits Employment Type: Full-time, permanent Are you a hands-on React Native expert ready to shape the future of digital learning? We are working with a UK-based EdTech company on a mission to make high-quality education accessible to everyone — and are looking for a React Native Technical Lead to help drive their mobile app experience to the next level. 💼 The Role As a React Native Technical Lead, you’ll take ownership of their mobile app development — from architecture and performance to delivery and deployment. This is a fully hands-on position where you’ll still be coding daily while leading by example, mentoring engineers, and setting the technical direction for the team. You’ll collaborate closely with product managers, designers, and backend engineers to build seamless, engaging, and scalable mobile experiences used by thousands of learners across the UK. 🔧 What You’ll Do • Lead the end-to-end development of our React Native mobile apps, • Define and drive mobile architecture, best practices, and coding standards, • Collaborate with cross-functional teams to design and deliver high-quality features, • Mentor and support developers, fostering a culture of excellence and innovation, • Work closely with stakeholders to plan, estimate, and deliver projects on time, • Stay ahead of emerging trends in mobile and EdTech technology 💡 What They’re Looking For • Proven experience building and delivering production-grade React Native applications, • Strong understanding of TypeScript, React, and mobile performance optimisation, • Experience integrating APIs, CI/CD pipelines, and app store deployments, • Ability to make architectural decisions and lead technical discussions, • Passion for education, user experience, and clean, maintainable code, • Previous experience in a lead or senior developer role within a product-focused environment If you are interested in this role, please apply with a copy of your CV, along with your desired salary expectations and availability to start a new role. React Native Technical Lead – EdTech | Remote (UK) | Up to £85,000

Lead Data Engineer (Azure Stack) £95k + 10% bonus Hybrid – 1 day a week Central London I’m helping a growing fintech find their next Lead Data Engineer, they are looking for someone who loves building modern data platforms in Azure and wants to make a genuine impact. This role offers the best of both worlds by allowing you to lead from the front while staying hands-on with the tech. You’ll shape the architecture, mentor the team, and help drive a modern, data-driven culture all within a collaborative environment that values innovation and ownership. Tech you’ll be working with: • Azure Data Lake, • Azure Synapse, • Databricks, • Data Factory, • Python, SQL, PySpark, • Terraform, GitHub Actions, CI/CD pipelines You’ll thrive here if you: • Have strong experience building and leading Azure-based data platforms, • Enjoy mentoring and guiding other engineers, • Love designing scalable, automated data pipelines, • Bring a hands-on approach and enjoy problem-solving, • Want to shape data strategy in a growing fintech If you’re an experienced Azure Data Engineer who enjoys leading without losing your hands-on edge, then this is a great opportunity to make an impact. Apply with your latest CV if your interested! :)

Job Role: Senior Software Engineer, Frontend Job Type: Full Time, Permanent Location: London, Hybrid (3 office days a week) Role purpose As a valued member of our engineering team, you will contribute to the development of our new web application, powered by a Headless CMS, using the latest frontend technologies. Working with a modern Next.js TypeScript stack, your primary focus will be on coding, testing, and enhancing the functionality of Travelex's and partner applications. Being part of the Online team, you will be working closely with engineers, designers and the product team. While this is primarily an engineering role, we are always looking for developers who have a keen eye for product and who can contribute to the development of features at a product level before they are implemented. If you are eager to be part of a dynamic team, contribute to Travelex's digital-first strategy, and be part of a company that values its employees while prioritising work-life balance, we invite you to explore this exciting opportunity with us. Key accountabilities and decision ownership: • Writing clean, well-tested and maintainable code, • Ensure high performance and scalability of web applications, • Thorough troubleshooting and debugging to diagnose technical issues, • Keep up to date with the latest trends and emerging technologies, • Identify technical debt and potential areas for improvement, • Actively contribute to discussions on product features, providing valuable input based on technical considerations, • Participate in code reviews, identifying opportunities for improvement and mentoring junior team members when needed, • Knowledge of best practices in security, performance and accessibility Skills, knowledge, and experience: Must have: • 8+ years of experience in frontend development, • Demonstrated strong fluency with TypeScript, Next.js and React, • Experience with design systems, component libraries and Storybook, • Familiarity with state management libraries, • Experience with the testing pyramid and tools such as Vitest, Jest, Playwright, • Strong understanding of non-functional requirements (e.g. Accessibility, Security & Performance), • Understanding of CI/CD practices and deployment pipelines, • Proficient with Git version control Nice to have: • Experience with Headless CMS (we use Sanity), • Exposure to backend or full-stack development (Node.js, Express, etc.), • Developing white-label applications, • Building internationalised applications, • Familiarity with frontend observability best practices (we use Datadog), • Experience in agile software development methodologies Why Travelex? To remain the world’s leading foreign exchange specialist, we are focused on making our customers’ lives simpler, more engaging and hassle free while they travel or move money abroad. We promise to give them the freedom and peace of mind to explore the world, their way – enabling them to travel confidently because they know they have us to lean on. Customer centricity and digital are at the heart of our business strategy. Our commitment to innovation has never been greater, with the development of a number of digital-first, greenfield products and services. And with the Travelex's resources, deep industry experience and leading brand we are inventing the future of FX, cross-border e-commerce and international payments. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Senior Go (Golang) Engineer | Stealth Fintech | London (Min. 4 days/week onsite in London) £120k - £150k + Equity | Hybrid London Maze is partnering with a stealth-mode startup that's rebuilding core banking from the ground up. They’re creating the world’s first open-source, AI-native "Thin Ledger"—set to replace legacy infrastructure at Tier 1 banks. We're looking for a Senior Engineer specialising in Go to contribute to v1 builds, define architecture, and ship mission-critical backend systems from scratch. What you’ll do: • Design & scale a fault-tolerant ledger (Golang, Kafka, CockroachDB/YugabyteDB), • Architect distributed, multi-region infra with five-nines reliability, • Contribute to backend, DevOps, and CI/CD decision-making, • Embed AI into engineering workflows & ops, • Self-motivated, problem-solving mindset; open to non-traditional backgrounds. You should have: • Expert backend skill ideally in Golang, or Rust, Zig or C., • Deep understanding of building distributed systems from scratch., • Experience in greenfield projects with high ownership in a Big Tech and / or Start Up environment., • Motivated and excited to work with AI. Why join: • Huge ownership: build core infra from scratch., • Work with a high-caliber team, fast-paced and product-minded founders who have worked in some of the most recognised tech businesses in the world., • Help define an open-source platform from day one., • Clear path to tech unicorn status with fruitful equity included., • Recently raised 8 figures in funding. Apply within if your skillset matches! Please note: Due to the high volume of applications we are not always able to respond to all applicants, if you have not had a response within 7 days of your application it is likely it has been unsuccessful.

Opportunity & Requirement Summary 📛 Role | Python Software Engineer 🔵 Company | Growing SaaS Software Provider 📏 Size | 15–20 employees 📍 Location | London (Hybrid – 3 days per week in the office) 💰 Offer | £60,000 – £90,000 + share options + benefits Detailed Overview Kioni Talent is partnering with an innovative SaaS company that’s helping businesses streamline complex workflows through their intelligent software platform. They’re now looking for a Python Software Engineer to join their close-knit team and play a key role in building and scaling the backend that powers their core product. You’ll be joining a collaborative engineering team of experienced developers, product thinkers, and problem-solvers — all passionate about writing clean, scalable code and continuously improving their platform. ⭐ What You'll Do • Design, build, and maintain backend services using Python (Django/FastAPI), • Contribute to architecture and technical design discussions, • Write clean, maintainable, and well-tested code, • Work closely with Product and Frontend teams to deliver new features, • Help improve scalability, performance, and reliability as the platform grows 💥 Your Impact • Be a key contributor in a product-led SaaS company during a high-growth phase, • Influence technical direction and tooling choices, • Help shape best practices and contribute to a culture of engineering excellence, • Work on meaningful challenges that have a direct impact on customers 👩 💻 What You'll Need • Strong experience with Django or FastAPI, • Solid understanding of RESTful APIs and database design (SQL/PostgreSQL), • Experience with testing frameworks and version control (Git), • Familiarity with cloud environments (AWS/GCP/Azure), • A collaborative mindset and eagerness to work in a small, agile team If you’re excited by the idea of joining a small, talented team where your work has real impact, and you enjoy solving interesting technical problems in a modern SaaS environment. We’d love to hear from you. 📩 Apply now to learn more about the company and this opportunity! (Python Engineer, Python Developer, Backend Developer, Software Developer, Software Engineer, Django Developer, Django, FastAPI, Flask, AWS, SaaS, REST API, Cloud, CI/CD, Start-up, London, Hybrid)

Golang Software Backend Engineer Fully Remote/UK Working Hours A couple of Golang Software Backend Engineers are required for an exciting and innovative Software house company based in London and Hong Kong. The company operates at the forefront of sports, entertainment, and cryptocurrency, and they are growing rapidly. The successful Software Backend Engineer will be responsible for developing and maintaining company’s complex backend systems, working closely with other engineers to design and implement efficient and reliable solutions that deliver exceptional user experiences. But more than that, they are seeking a results-oriented individual who is eager to coach and mentor team members, helping them grow both professionally and personally. Their development team uses various different programming languages with a particular focus on Golang but they are looking primarily for strong software developers first and experiences of technologies second. The company is made up of some of the very best software developers and mathematicians. Each brings their unique perspective from their backgrounds in computer science, physics, mathematics, statistics and engineering. Essential Skills • 6+ years commercial experience in software engineering., • Demonstrable experience building high-quality and scalable digital products and features., • Strong project management and communication skills with the ability to collaborate across cross-functional teams., • Ability to confidently make technical decisions in the best interests of users and the business., • Strong knowledge and hands-on experience of designing well defined interfaces, we’re using gRPC, protocol buffers, RESTful JSON and GraphQL., • Strong knowledge and hands-on experience of microservice architectures, best practices and patterns., • Hands-on experience with caching, they are primarily using Redis and Object storage buckets., • Hands-on experience with relational databases such as SQLite, MySQL or PostgreSQL., • Hands-on experience with lean DevOps, including containerized services managed with Kubernetes and managed serverless environments like Lambdas, Cloud Functions, and Cloud Run., • Hands-on experience with CI/CD pipelines, we’re using Google Cloud Build and Github Actions., • Fluency in English (verbal and written). Join an exciting company with many opportunities to progress your Golang functional programming career. Send your CV for immediately review and further details. Golang Backend Engineer Fully Remote/UK Working Hours

Company Description At Affinity Labs, we’re building the future of company creation, a full-stack AI venture studio that partners with content creators to co-found authentic, scalable software businesses. By combining AI-native development with creator-led distribution, we're pioneering a new model of monetization by to rapidly build, launch, and scale digital ventures aligned with creators and their audiences. We aim to launch ventures 10x faster and cheaper than traditional methods using our internal "AI factory": a multi-agent architecture, reusable component libraries, and a growing knowledge graph that learns from every product we ship. Role Description This is a full-time on-site role for a Founding Engineer, located in the London Area, United Kingdom. The Founding Engineer will be responsible for leading the technical development of new software products, collaborating closely with content creators and their management teams, and implementing AI-driven solutions. The role also involves hands-on coding, system architecture design, and ensuring scalability and reliability of the software. The Founding Engineer will work in a fast-paced, dynamic environment and contribute to the overall strategy and growth of digital ventures. Responsibilities • Code with AI-first speed. Use AI to turn product specs into production-ready React, Supabase, and serverless back-ends in days, not weeks., • Architect for scale (and scrappiness). Apply clean, hexagonal patterns so v1 can evolve without rewrites., • Prototype → pilot → product. Move fast through validation loops: hack the MVP, shadow users, ship the fix, repeat., • Wear many helmets. One sprint you’re spinning up CI/CD; the next you’re tweaking prompts or jumping on a creator livestream to debug user feedback in real time., • Set the engineering culture. Establish the rituals, docs, and testing standards that future hires will learn from you. Requirements • Full stack developer, • AI-native developer that has used or experimented with the latest AI development tooling, • Strong coding and software development skills in languages and with tools such as ReactNative / Flutter / Next.js, Supabase / Postgres, Python, • Experience in system architecture design and implementation, • Knowledge of AI technologies and machine learning algorithms. You track the latest AI tools, play with new MCPs, and deploy multi-agent systems, • Experience in startup environments and rapid product development, • Bachelor's or Master's degree in Computer Science, Engineering, or related field, • Action oriented with strong bias toward rapid execution and experimentation. Nice to Have's • Prompt-engineering or fine-tuning experience, • Familiarity with Stripe, Discord, TikTok or other creator-economy tools, • Side hustle, hackathon wins, or open-source contributions, • Shipping Experience: You’ve shipped AI side projects, or research, that prove you can learn fast and finish. Why this role is a-career launchpad • Own the code & the company. You step in as Founding Engineer #1, receiving a meaningful equity stake from day one., • Ship faster with AI at your side. We’ve baked AI tools into our workflow so you spend time solving problems, not yak-shaving boilerplate., • Ride a rocket, not a conveyor belt. Affinity Labs is a venture studio that partners with top content creators to turn influence into scalable software. Think “Prime for software”, • Grow like crazy. You’ll architect, build, and launch multiple products each year. The shipping reps you’ll get in 12 months here would take 3 - 4 years in a typical startup., • Learn from builders, not bosses. You’ll work shoulder-to-shoulder with a founding team that has scaled VC-backed startups, closed multi-million-pound term sheets, and shipped products used by millions.

The Team OpenBet is a global leader in betting and gaming entertainment, trusted by over 200 partners to create memorable winning moments for millions of players worldwide. From processing bets during iconic events like the FIFA World Cup and Super Bowl to pioneering next-gen products like BetBuilder, we continuously redefine the player experience with high-quality content, cutting-edge technology, and advanced player protection tools. For over 25 years, our unbeatable platform has powered the most recognizable betting brands, ensuring peak performance with 100% uptime, unmatched scale, and speed. With 85 licenses, 20 World Lottery Association operators on our customer roster, and a team of 1,200+ experts across 14 countries, we remain at the heart of the industry. The Goal We’re looking for a Data Engineer / AI Platform Specialist to build and optimize the infrastructure powering our AI ambitions. In this hands-on role, you’ll design scalable data pipelines, manage cloud services, and implement infrastructure-as-code to enable secure, efficient, and high-performance AI workflows. Your work will ensure data is not just available—but ready for AI at scale. You’ll collaborate closely with ML engineers, software developers, and stakeholders to unlock siloed data, improve compliance, and drive platform reliability. This is your chance to shape the technical foundation behind real-world AI impact in a high-growth, high-regulation industry. The Player You bring deep expertise in cloud infrastructure (AWS, Azure, or GCP), data engineering, CI/CD, and IaC tools like Terraform. You thrive in cross-functional environments, balance performance with governance, and know how to turn complex systems into seamless pipelines. If you're ready to empower enterprise AI with next-gen infrastructure — we want to hear from you. What we can offer YOU Why would you enjoy working with us? • Forward-thinking AI-driven team revolutionizing the sports betting industry., • Build cutting-edge infrastructure and processes that set the stage for groundbreaking AI solutions., • Competitive benefits, including flexible working options and tangible career growth opportunities., • Access to advanced tools, systems, and training to enhance your expertise in cloud computing, automation, and AI infrastructure., • Collaborate with a world-class group of professionals innovating at the intersection of data and AI., • Opportunities to participate in global conferences, knowledge-sharing sessions, and industry events., • A culture that emphasizes intellectual curiosity and rewards exploration of emerging technologies like quantum computing, blockchain, and IoT. And if that's not enough; you'll enjoy a dynamic workplace where your contributions fuel the next generation of AI-powered betting experiences. Open to hiring in London, Athens OR Lviv At OpenBet, we celebrate diversity and believe in creating an inclusive environment where every voice is valued and respected. We're committed to building a team that reflects the rich tapestry of humanity, embracing individuals from all walks of life, backgrounds, and identities. Join us in shaping the future of iGaming, where diversity isn't just celebrated—it's celebrated.

Data Engineer London (Hybrid) Up to £60k DOE About the Company We’re partnered with a rapidly scaling AI-driven SaaS business that helps global enterprises unlock the potential of their data. They are entering a really exciting next phase of expansion - scaling their platform, deepening automation and developing their AI solutions. About the Role This business is looking to hire a very talented Mid Level Data Engineer to take a leading role in building and scaling the data foundations of the platform. You’ll combine strong SQL and Python skills with a DevOps mindset, architecting pipelines, automating workflows, and ensuring AI outputs are production-ready. Requirements • 1.5+ years’ experience in Data Engineering or Data Platform development, • Experience working with First-Party Data, • Strong SQL and Python fluency (data transformations, orchestration, automation), • Familiarity with cloud ecosystems - Azure, AWS, or GCP, • Experience with CI/CD tools (Azure DevOps, GitHub Actions, or similar), • Excellent communication skills and a structured, detail-oriented approach, • BSc in a related STEM degree from a top university ** Please note that visa sponsorship is not available

Test Lead (Automation) - £65,000 to £70,000 - London (1 day per week) - Cypress Experience Please note: this role is not eligible for visa sponsorship and requires commuting to the London office one day per week. La Fosse is supporting a major legal organisation that is in the middle of a big step-change in how they build and deliver software. We are looking for an Automation Test Lead who can elevate how testing is done here — owning the strategy, setting the guardrails, and raising the bar across engineering quality and automation. This is a role where you’ll be able to actually influence the direction, not just execute it. You’ll introduce modern, automation-first thinking, bring in pragmatic AI-led test approaches where they make sense, and coach / level-up a strong QA function around you Key requirements: • Demonstrated track record guiding and developing QA / Automation Engineers in a modern, agile delivery model., • Practical experience using Cypress or Playwright as core tooling for web UI + functional validation., • Strong, hands-on background building and scaling automation in JavaScript/TypeScript based frameworks., • Solid grounding in API testing, data validation, and the patterns / heuristics that make those reliable., • Comfortable working within contemporary CI/CD ecosystem Interview Process: 1 - Technical Interview over teams with Head of QA 2 - In Person interview with Head of QA and Head of Engineering How to apply: If you are interested in this role, please click the link and attach your most up-to-date CV.

Contract Principal Consultant Engineer (Cloud & Engineering) Hybrid (3 days onsite per week, West London) Rate: £575 to £625 per day (Outside IR35) Contract Length: 3 months with option to extend • Are you an accomplished customer facing Solution Architect or Principal Consultant with a track record of leading complex, cloud-first transformations ?, • Do you thrive at the intersection of technical strategy, architectural design, and customer success? Our client, a fast-scaling cloud consultancy, partners with leading organisations to modernise their technology landscape through DevOps, platform engineering, automation, and software transformation. Following continued growth, they’re expanding their senior technical leadership team to shape and deliver large-scale customer engagements. As a Solution Architect / Principal Consultant, you will: • Define end-to-end technical architectures that solve complex business challenges., • Partner directly with C-level and engineering stakeholders to shape technical strategy and delivery direction., • Lead multi-disciplinary teams through architecture, design, and implementation, ensuring scalability, security, and performance., • Influence technology decisions across modern programming, infrastructure, and automation ecosystems., • Act as a trusted advisor: translating business objectives into technical solutions that deliver measurable impact. This is a strategic, customer-facing role requiring both depth of technical expertise and strong commercial awareness. You will have the autonomy to shape engagements, set standards, and influence the direction of both client and internal engineering teams. Technical Profile • 7+ years’ experience in software engineering or cloud architecture, with recent focus on solution design and delivery leadership., • Deep experience with AWS, GCP, or Azure, including infrastructure-as-code (Terraform, CloudFormation, Crossplane, Ansible)., • Proven ability to architect and deploy containerised systems (Docker, Kubernetes) at scale., • Proficiency in one or more modern languages — Go, Python, Java, Ruby, TypeScript., • Solid understanding of CI/CD, DevOps automation, and secure cloud operations., • Strong communication and stakeholder management skills — able to influence at both technical and executive levels. Please apply now for immediate consideration to the role.

Job Title: Full Stack Software Engineer Location: London (Hybrid / Flexible) Type: Permanent or Contract Clearance: Active Enhanced DV or DV clearance preferred | SC clearance considered Salary: Competitive (based on experience & clearance level) We’re working with a specialist digital consultancy delivering secure, user-centred solutions across government and national security sectors. They’re looking for talented Full Stack Developers who can contribute to mission-critical systems - blending strong back-end development in Go with solid Front-End (FE) knowledge, particularly in React. This is an opportunity to work in highly secure environments on meaningful projects that directly impact national capabilities. You’ll collaborate within agile, multi-disciplinary teams that value innovation, technical excellence, and continuous improvement. Key Responsibilities • Design, develop, and maintain full-stack applications using Go (Golang) and React, • Collaborate with designers, DevOps engineers, and product teams to build scalable, user-focused services, • Ensure high standards of software quality through code reviews, automated testing, and CI/CD practices, • Participate in architecture discussions and technical design sessions, • Integrate APIs and backend systems into modern, accessible front-end interfaces, • Contribute to continuous delivery pipelines and infrastructure-as-code practices, • Maintain awareness of security and performance in all aspects of delivery Key Requirements • Active Enhanced DV clearance (preferred) – essential for access to secure projects (Can be regular DV or SC), • Proven experience as a Full Stack Software Engineer, • Strong knowledge of Go (Golang) for backend development, • Solid Front-End experience – ideally with React, TypeScript, and modern UI patterns, • Experience working within Agile / DevOps delivery environments, • Understanding of secure coding practices and working within classified or government settings, • Excellent problem-solving skills and a proactive approach to technical challenges, • Strong communication and collaboration skills, comfortable working in cross-functional teams Desirable: • Exposure to cloud platforms (AWS, Azure, or GCP), • Experience with containerisation (Docker, Kubernetes), • Familiarity with CI/CD tools and automation pipelines, • Understanding of infrastructure-as-code tools (Terraform, Ansible, etc.) If you have a background in the Government/Public Sector space and software development expertise, then please apply now!

Job Title: Azure Databricks Data Engineer Primary skills: Advanced SQL, Azure Databricks, Azure Data Factory, Azure Datalake. Secondary skills: Azure SQL, PySpark, Azure Synapse. Experience: 10+ Years of Experience Hybrid - 3 Days/ Week onsite is MUST About the job We are looking for an experienced Databricks Data Engineer to design, develop, and manage data pipelines using Azure services such as Databricks, Data Factory, and Datalake. The role involves building scalable ETL solutions, collaborating with cross-functional teams, and processing large volumes of data. You will work closely with business and technical teams to deliver robust data models and transformations in support of analytics and reporting needs. • Responsibilities:, • Design and develop ETL pipelines using ADF for data ingestion and transformation., • Collaborate with Azure stack modules like Data Lakes and SQL DW to handle large volumes of data. • Write SQL, Python, and PySpark code to meet data processing and transformation needs., • Understand business requirements and create data flow processes that meet them., • Develop mapping documents and transformation business rules., • Ensure continuous communication with the team and stakeholders regarding project status., • Requirements - Must Have:, • 8+ years of experience in data ingestion, data processing, and analytical pipelines for big data and relational databases., • Extensive hands-on experience with Azure services: Databricks, Data Factory, ADLS, Synapse, and Azure SQL., • Experience in SQL, Python, and PySpark for data transformation and processing., • Strong understanding of DevOps, CI/CD deployments, and Agile methodologies., • Strong communication skills and attention to detail., • Experience in the insurance or financial industry is preferred. About ValueMomentum ValueMomentum is a leading solutions provider for the global property & casualty insurance industry, supported by deep domain and technology capabilities. We offer a comprehensive suite of advisory, development, implementation, and maintenance services across the entire P&C insurance value chain. This includes Underwriting, Claims, Distribution, and more, empowering insurers to stay ahead with sustained growth, high performance, and enhanced stakeholder value. Trusted by over 75 insurers, ValueMomentum is one of the largest standalone insurance-focused solutions providers to the global insurance industry.

Explore the forefront of financial technology with a leader who specialises in buy-side brokerage services - their software provides portfolio managers with differentiated trade idea creation, optimisation, and execution services. You will: • Develop and maintain robust data pipelines., • Integrate and manage market data feeds., • Optimise data storage and retrieval processes for efficiency., • Enhance and create advanced data visualisation applications. Requirements: • Proficient in Software Python Development., • 3-5 years experience in software engineering, • Experience with libraries/frameworks such as Pandas, Numpy, Scipy, etc., • Skilled in data pipeline orchestration management libraries (e.g., Airflow, Prefect)., • Experience with cloud infrastructure (AWS, GCP, Azure)., • DevOps skills (CI/CD, containerisation)., • Familiarity with Plotly Dash for interactive data visualisations. You will play a pivotal role in supporting and scaling their data platform, ensuring seamless data pipeline orchestration, storage and compute optimization, as well as providing high performance data access interface to support analytical software. This is a fantastic opportunity to lead development of the critical part of product architecture. If you're ready to contribute to pioneering solutions that shape the future of finance, we want to hear from you. Contact Ciara Clarke for a confidential discussion on this role.

Lead AI Engineer 📍 London (3 days a week) | 💰 £90k–£135k + EMI shares | ❌ No sponsorship I’m partnered with a scaling AI consultancy and product company that works with global enterprises to design and deliver cutting-edge Generative AI solutions. They have partnerships with renowned tech firms - adding commmercial value. They’re looking for Lead ML/AI Engineers with strong software engineering expertise who can deliver production-ready AI solutions and upskill others in a fast-paced, consultancy-driven environment. You'll be a senior in title, but operating as a tech lead in a flat structure. What they’re after: • 5+ years’ experience building enterprise-grade software (Python, microservices, distributed systems), • Proven track record deploying LLM-based applications, • Clear evidence of Software skills (CI/CD etc.), • Ability to lead small teams, own solutions end-to-end, and mentor engineers, • Strong communicator with experience working in client-facing or consultancy settings The package: • Up to £135k base + EMI share options, • Private medical, wellness benefits, pension, life cover, • 25 days holiday + bank holidays, • Hybrid working, 3 days a week in London This is a chance to join a profitable, high-calibre business at the forefront of applied AI, where you’ll shape solutions and influence technical direction across multiple projects. If this sounds like you, apply with your CV!

Data Scientist - Finance/Investments London – 5 days in office Up to £120,000 + Strong Bonus Potential About the Role We are working with a leading hedge fund and alternative investment firm, specialising in global macro strategies with a particular emphasis on inflation modelling and the wider economic landscape. They are looking for a Data Scientist to join their London-based team, working closely with AI and research functions to design, implement, and maintain scalable ML models for forecasting. This role offers the opportunity to work at the cutting edge of time-series forecasting within a fast-paced and intellectually rigorous environment. Key Responsibilities • Building machine learning models, with a focus on time-series forecasting., • Collaborating with data scientists and researchers to productionise models., • Managing both cloud-based and on-premise infrastructure., • Ensuring reliability and scalability of ML systems in production. What We’re Looking For • 3+ years of experience in Data Science., • Strong proficiency in Python and experience with ML libraries/frameworks (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch)., • Hands-on experience implementing end-to-end ML pipelines (data ingestion, training, validation, serving)., • Familiarity with ML workflow orchestration tools (Airflow, Prefect, Kubeflow) and feature/data platforms (Databricks, Tecton, etc.)., • Strong experience with cloud platforms (AWS, GCP, or Azure), Docker, and Kubernetes., • Solid coding practices, including Git, automated testing, and CI/CD., • Proficiency with Linux environments., • Knowledge of time-series analysis is a strong plus. Please note, this role cannot offer VISA sponsorship.

Senior Full Stack Engineer Location: London (Hybrid – 2 days onsite) Package: £120,000 Industry: Series A DeepTech Start-Up About the Company Wedo.tech has partnered with a rapidly scaling Series A DeepTech start-up that’s quickly earning a reputation for its AI-driven product, trusted by global customers. Their technology sits at the intersection of distributed systems, AI/ML, and unstructured data helping organisations make sense of complex, multilingual information to deliver insights people can actually trust. Our client is pushing for Series B early next year and has intent to triple headcount over the next 12 months. If you’re looking for a role where you get autonomy, a chance to master your craft with deep purpose then read on. The Opportunity We’re looking for two Senior Full Stack Engineers who loves to coach, lead, mentor, and take ownership of architectural decisions, and love getting hands-on with POCs, innovation, and clean, maintainable code. You’re the type of engineer who comes in, observes what’s working, what’s not, writes code, show’s a demo and helps take a business on a journey. You’ll lean into your years of hard earnt experience knowing what great looks like, helping them achieve their next phase of growth. As a Senior Full Stack Engineer you will have the following experience: • Designed and build scalable microservices, contributing to a growing distributed architecture., • You can write code in at least 2 languages, preferably Java, C#, Python, Go, Ruby or Rust., • Good React UI Development, however, probably consider yourself a stronger backend engineer., • Used to working with Product and Design teams to turn complex requirements into elegant technical solutions., • Participate in architectural discussions and shape engineering best practices., • Troubleshoot and resolve production issues across services and systems., • Contribute to CI/CD pipelines, observability, and automation initiatives. Interview Process • 1st stage – Introductory chat with the Hiring Manager to explore your experience and the team., • 2nd stage – Technical pairing exercise with Staff Engineer, • 3rd stage – Final conversation with the COO and Founder. Benefits: • 10% Bonus, • Equity, • Unlimited holiday, • Private Health, • Life Insurance, • 1k learning allowance To apply: Send your CV to

Front Office FX Trading Technology - Global Banking & Markets A leading global investment bank is seeking a Python Developer to join its Front Office FX Options Technology team. This is a high-impact role where you’ll work closely with traders and developers to build cutting-edge, high-performance trading systems - leveraging big data and algorithmic models to analyse and predict market behaviour in real time. They’re looking for switched-on engineers who can tackle complex problems and deliver business-critical, high-visibility projects in a fast-paced, front-office environment. Key Responsibilities • Design, develop, and support pricing, eTrading, and market-making systems., • Collaborate with traders, sales, and quants to deliver performant, data-driven solutions., • Enhance trading algorithms, data pipelines, and market connectivity., • Integrate trading systems with upstream trade execution and regulatory platforms., • Work within an agile team delivering high-priority solutions under tight deadlines. Skills & Experience • Strong Python (or OO language: Java, C#, C++) development experience., • Solid understanding of data structures, algorithms, and design patterns., • Experience with SQL/NoSQL, APIs, and distributed systems., • Familiarity with agile methodologies and CI/CD tools., • Excellent communication skills and an interest in financial markets or FX trading., • Degree in Computer Science, Engineering, Mathematics, or Physics preferred. Why Join • Work directly with Front Office trading teams on next-gen algorithmic trading systems., • Gain exposure to real-time analytics, predictive modelling, and high-performance systems., • Collaborative, high-energy environment with strong growth opportunities.

Hardware Management Engineer – High Performance Infrastructure Location: London - Hybrid Permanent We are partnered with a leading global quantitative hedge fund seeking a Hardware Management Engineer to join their Research Infrastructure Engineering team. You will play a hands-on lead role in managing cutting-edge high-performance trading and research infrastructure, directly supporting research and trading teams on mission-critical projects. This is a fantastic opportunity for an experienced Linux and infrastructure specialist to work at the forefront of HPC (high-performance computing), low-latency engineering, and large-scale systems. Key Responsibilities • Manage and optimise large-scale Linux-based platforms for high-performance trading and research workloads., • Design and implement workload scheduling, high-performance file systems, and storage operations., • Optimise hardware, networking, and kernel performance for low-latency and high-throughput environments., • Partner closely with research and infrastructure teams to deliver scalable, reliable solutions., • Drive automation using Terraform, Ansible, GitLab, Jenkins, and support SDLC best practices., • Provide visibility and performance monitoring using Splunk, Prometheus, Grafana., • Contribute to containerisation and orchestration strategy with Docker and Kubernetes., • Stay ahead of industry trends, conduct POCs, and deliver technical recommendations. What We’re Looking For • 10+ years’ experience in Linux systems administration / platform engineering., • Proven technical leadership in hardware optimisation, kernel tuning, and network/storage performance., • Hands-on experience with DevOps and CI/CD tooling (Terraform, Ansible, GitLab, Jenkins)., • Programming / scripting knowledge in Python, Golang, or similar., • Experience with metrics visualisation tools (Splunk, Prometheus, Grafana)., • Knowledge of containerisation and orchestration (Docker, Kubernetes)., • Experience in hedge funds, trading firms, or other low-latency / HPC environments is highly desirable.

Senior Software Engineer - Backend & Data | Fully Remote (UK) Founding Engineer | Python | GCP | Terraform | Event-Based Systems | Data Pipelines An innovative, mission-driven LegalTech SaaS start-up is looking for a Senior Product Engineer (Backend & Data) with deep experience in Python, Product development, and Data engineering. Role Information: • Salary: Up to £100,000 (DOE) + Equity, • Location: Fully remote (UK only), • Stack: Python, TypeScript, GCP, Pub/Sub, SQL & NoSQL, IaC (Terraform), CI/CD (GitHub Actions), Observability tools, AI tooling You’ll join a remote first, high-trust engineering team working with a modern, cloud-native stack - with real influence over technical decisions from day one. You’ll take technical ownership of the backend to ensure it’s robust, scalable, and ready for real customers, while adding new Data-driven features, optimising performance, and shaping the long-term Product roadmap. While your focus will be backend systems in Python, you’ll also work across the stack, collaborate directly with users, and bring a strong Product mindset to every decision. This role is ideal for someone who thrives on turning early-stage ideas into scalable, market-ready Products backed by solid Data pipelines. Senior Product Engineer - Highlights: • Enhance and scale backend services in Python, • Architect event-driven solutions in GCP with Pub/Sub & Cloud Run, • Build and optimise Python code for high-performance backend systems, • Integrate APIs, enrich Data, and deliver robust, scalable Data pipelines, • Implement modern IaC practices for deployment and automation, • Leverage AI and tooling of your choice to boost workflow efficiency and deliver innovative Product features, • Autonomy & Ambiguity - discover, design, and build without micromanagement., • Professional Development - dedicated time to explore new AI tools, Data engineering practices, and emerging tech to keep the Product ahead of the curve. They want engineers to be setup to stay on top in the new AI world.

Backend Engineer (Python) - Tech for Good | £75m-Funded Startup Location: London, UK - 1 day in office minimum Salary: £60k-£70k + benefits Tech Stack: Python, FastAPI, Docker, AWS, Django, PySpark, PyTorch, Kubernetes About the Company Our client is an ambitious tech-for-good organisation on a mission to reduce carbon emissions across the UK using AI-driven technology. With more than £75 million in funding, they are rapidly scaling their engineering team to meet growing demand and expand their industry-leading platform. The Role They are seeking a talented mid-senior level Backend Engineer with a strong focus on Python development. You’ll work closely with a diverse engineering team to build and scale next-generation backend systems, contribute to new feature development, and take ownership of critical areas of the platform. Responsibilities • Design, build, and maintain scalable APIs and backend services., • Collaborate with cross-functional teams to implement data-driven solutions., • Contribute to architectural decisions and technical planning., • Work with DevOps tools to streamline CI/CD pipelines and cloud scalability., • 3–5 years of backend engineering experience., • Strong proficiency with Python and frameworks such as FastAPI or Django., • Experience developing and scaling RESTful APIs and backend systems., • Solid understanding of cloud infrastructure (AWS preferred)., • Familiarity with containerization (Docker, Kubernetes)., • Exposure to PySpark or PyTorch is a bonus., • Work on meaningful projects with measurable environmental impact., • Collaborate with a world-class engineering team., • Access rapid career progression in a high-growth environment., • Competitive compensation, flexible working, and cutting-edge tech stack.

A growing SaaS business is hiring a Senior Software Engineer to lead the technical rebuild of its flagship product. This is a hands-on role for an experienced engineer who loves modernising legacy systems and is excited about using AI tools to accelerate design, refactoring, and delivery. You’ll be the technical driver behind a full product transformation, rebuilding a complex ERP-scale system into a modern, cloud-native platform. Working closely with product and technical leadership, you’ll design architecture, write production-quality code, and use AI tools to streamline development and shape how the next generation of the product is built. Role: Senior Software Engineer (AI-Enabled Refactor) Salary: Up to £70,000 per annum (flexible for exceptional candidates) Location: Hybrid – London office once per fortnight, remote within the UK What you’ll be doing: • Lead the refactor of a large legacy system into a modern, scalable cloud-native product, • Design and implement new architecture using AWS microservices, PostgreSQL, Node.js, React, and TypeScript, • Use AI-assisted tools such as OpenAI, LangChain, Claude, or Hugging Face to enhance efficiency, code quality, and testing, • Establish clean engineering practices, including CI/CD, automation, and testing frameworks, • Work closely with product and technical leadership to translate business requirements into technical outcomes, • Mentor a junior developer and help shape future engineering capability What you’ll need: • 7+ years’ experience building or refactoring large-scale applications (ERP or SaaS experience ideal), • Strong technical background with Python, TypeScript, React, Node.js, PostgreSQL, and AWS, • Proven experience in greenfield development and system modernisation, • Interest or hands-on experience with AI-driven development tools, • Solid understanding of clean architecture, automation, and modern DevOps practices, • A collaborative mindset and enthusiasm for innovation What’s on offer: • Salary up to £70,000 per annum (flexible for the right person), • Hybrid working – typically remote with occasional team days in London, • Opportunity to lead a full-scale rebuild project from the ground up, • Freedom to experiment with AI technologies that accelerate development, • Startup-style autonomy backed by the stability of a well-funded organisation If you’re a senior engineer who enjoys modernisation projects and wants to work at the intersection of AI and large-scale software engineering, this is an opportunity to build something that defines the next generation of a leading SaaS platform.

🚀 Senior Backend Engineer | AI Infrastructure | London (Hybrid) We’re partnering with a fast-growing AI infrastructure startup that’s redefining how organizations deploy and scale AI technologies. Their platform enables global enterprises to implement, monitor, and continuously improve their AI and tech rollouts — giving teams true “speed-of-innovation” superpowers. 💡 Backed by strong revenue growth and elite investors, this small team is already delivering to paying enterprise clients — and scaling fast. 🧩 The Role As a Senior Backend Engineer, you’ll take ownership of core backend systems powering an advanced AI platform that integrates production-ready LLMs and agentic systems. You’ll architect scalable backend services, build RAG pipelines, and integrate AI components into distributed systems that enable real-world, production-scale AI deployment. 🔧 What You’ll Do • Architect and develop backend systems (Python, FastAPI, Flask, NodeJS), • Design and implement RAG pipelines (LangChain, Qdrant, embeddings), • Build ETL & CI/CD workflows (Airflow, dbt, MLFlow), • Integrate AI/LLM components into backend services, • Ensure reliability, scalability, and maintainability across systems, • Collaborate with a small, elite team of engineers and AI researchers 💼 About You • 4+ years of backend experience (Python, distributed systems, async APIs), • Proven experience integrating AI or LLM systems (LangChain, vector DBs, etc.), • Hands-on with some of Airflow, dbt, MLFlow, ETL, and CI/CD workflows, • Experience in early-stage startup environments — self-starter mindset, • Excited by ambiguity, ownership, and building from zero to one, • Ideally: background in workflow automation, process analytics, or user-driven tech platforms 🌍 The Offer • £80,000–£105,000 base salary (DOE) (can scale higher for strong candidates), • Equity options + startup benefits package, • Hybrid work (2–3 days/week in London), • No sponsorship available ⚡ Why Join • Build the foundation of a world-first Agentic Tech Deployment Platform, • Work hands-on with LLMs and AI integrations at production scale, • Join a world-class team at the intersection of AI, infra, and enterprise scale, • Shape key systems, have real ownership, and grow as the company scales

Research Engineer (Data Infra/ML) London (Hybrid) Can you build & optimize distributed ML pipelines with Ray or Spark? Do you love speeding up cloud infra (Kubernetes, Docker, CI/CD)? Excited to build the data backbone for large-scale ML training? We're a tier 1 VC-backed start-up, developing hyper-realistic 3D simulations using AI. Our customers include leading names in industries such as autonomous vehicles, drones and robotics. Role You’ll be hands-on improving CI/CD pipelines, speeding up Docker builds, and scaling scene processing on Ray. You’ll also: • Build high-performance data pipelines for multimodal datasets (3D, video, sensor)., • Optimize distributed training and processing across Spark, Databricks, and Kubernetes., • Work with researchers to productionize PyTorch models and streamline ML workflows., • Develop tools that make data discoverable, reusable, and reliable throughout the ML lifecycle. You • Strong Python skills and experience with distributed systems (Ray, Spark, Flyte, Dask)., • Hands-on with cloud, Kubernetes, and distributed training (Ray, PyTorch DDP, Horovod)., • Familiar with dataset versioning and experiment tracking (DVC, MLflow). Bonus Points • Experience in simulation, robotics, or autonomy pipelines., • Background in deep learning (PyTorch) and 3D / sensor data (LIDAR, meshes, radiance fields)., • Open-source contributions or frontend/UI experience.

Data Engineer, AI Customer Intelligence Engine, London, hybrid Salary: up to £45,000 per annum, depending on experience Location: London, hybrid, in office Monday to Wednesday Job ref: J13027 We are partnering with a fast growing tech company helping some of the best known UK brands turn first party data into real competitive advantage. This is not maintenance, this is building. You will ship data products, learn quickly, and help scale a platform that puts clean engineering at the heart of decision making. You will sit with talented AI engineers and analysts, learn how models are productionised at scale, and watch your pipelines power real outcomes. What you will do • Build robust, well structured data pipelines in Python and SQL,, • Work across cloud platforms, Azure, AWS, or GCP,, • Integrate machine learning outputs into data products,, • Automate and monitor flows so data moves securely and reliably,, • 1 plus years in a data engineering or platform role,, • Demonstrable experience with DevOps workflows,, • An excellent STEM degree, Mathematics, Statistics, Computer Science, Engineering, or similar, If that sounds like you, let us talk. Be brave, make the move. No sponsorship available, not available for post study visa holders. 📧 #DataEngineering #AI #MachineLearning #Python #DatatechAnalytics

Software Engineer (Golang) – Global Fintech Location: Remote / Hybrid (with offices in London, New York, Singapore) Employment Type: Full-time Salary: Competitive + bonus + equity options About Us We’re a global fintech company transforming the way money moves around the world. Our platform powers cross-border payments, trading infrastructure, and digital banking solutions for millions of customers and institutions. With offices across three continents and a growing engineering presence, we’re scaling fast and looking for exceptional talent to help us shape the future of financial technology. The Role We’re seeking a Golang Software Engineer to join our core engineering team. You’ll design, build, and maintain high-performance backend services that process millions of transactions per day. You’ll work closely with our product, infrastructure, and data teams to deliver scalable, reliable, and secure systems that power our next generation of fintech products. What You’ll Do • Design and develop distributed backend systems in Go (Golang)., • Build APIs and microservices that are fast, secure, and maintainable., • Collaborate with DevOps engineers to optimize CI/CD pipelines and cloud infrastructure (AWS/GCP)., • Write clean, tested, and well-documented code., • Contribute to architectural decisions, system design discussions, and technical roadmaps., • Work in an agile, collaborative environment with global teams across time zones. What We’re Looking For • 5+ years of experience in software development (with 3+ years in Golang preferred)., • Strong understanding of concurrency, distributed systems, and microservices architectures., • Experience with REST/gRPC APIs, PostgreSQL, Kafka, or similar technologies., • Familiarity with Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure)., • Excellent problem-solving skills and a passion for clean, efficient code., • Bonus: Experience in fintech, payments, or high-throughput systems. Why Join Us • Work on systems that move billions of dollars daily., • Competitive compensation and stock options., • Flexible working arrangements – remote-first culture., • Learning & development budget for conferences, courses, and certifications., • Inclusive, diverse, and innovative engineering culture.

Data Science & GenAI Engineer (Senior and Lead Levels) — AI Agents, Structured Insights & Detection We’re pioneering Agentic AI — systems that don’t just respond, but reason, act, and adapt autonomously in complex workflows. This is about crafting AI Agent Experiences — designing agents that collaborate seamlessly with humans, learn from context, and make every customer interaction faster, smarter, and more empathetic. You’ll own the technical vision and turn requirements into a live, reliable product used by brands like Grubhub, Booking.com, Dropbox, Uber, Careem, and Fubo. You’ll collaborate directly with engineers, other tech leads, directors, and the CTO to evolve ambitious prototypes into a rock‑solid, scalable platform. What you’ll actually do 50% Build — design & ship • Agentic AI for CX: Real‑time assistants that listen to calls/chats, retrieve from customer KBs, and draft responses with human‑in‑the‑loop controls., • Structured extraction: Schema‑driven pipelines over unstructured text (and other modalities) using retrieval, tool‑use, and robust LLM prompting., • Hybrid anomaly detection: Blend classical time‑series methods (e.g., decomposition, change‑point, forecasting) with LLM‑aware, contextful detectors for seasonality, spikes, step‑changes, and drift., • Novelty discovery: Embedding‑based clustering and drift, topic surfacing, LLM summarization of emerging themes with deduplication and evidence links., • Own reliability, latency, and cost. Design online/offline eval harnesses, canaries, and SLAs; operate GPUs/accelerators where needed., • Stand up and harden RAG pipelines (indexing, retrieval policies, grounding, guardrails) and agent frameworks., • Take basic infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost tuning., • Pair with back‑end & front‑end to wire extractors/detectors and agents into ticketing, voice, and analytics stacks (APIs, webhooks, real‑time streams)., • Gather requirements from CX and product leads, demo new capabilities to execs & customers, and document impact with precision/recall, alert quality, latency, and cost metrics. What makes you a great fit • Startup hacker mindset: You self‑start from zero, respect no silos, and carry work from prototype to production. 🛠️, • AI‑native dev tools are your daily drivers: Cursor, v0, Claude Code (or similar)., • 7–10 years building production ML/back‑end systems; 2+ years leading while coding., • Expert Python; strong back‑end chops (e.g., FastAPI, gRPC, Postgres, pub/sub/streams)., • Agents & RAG: Fluency with at least one agent framework (ADK preferred). Proven track record shipping AI agents and building RAG pipelines., • LLM + DS depth: Prompting/tooling, retrieval design, LLM evals; hands‑on with time‑series analysis (forecasting, change‑point, drift)., • Cloud & ops: Basic infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost control., • Communication: You explain results clearly, align stakeholders, and write crisp docs. Bonus points • DevOps wizardry; GPU/accelerator experience., • Multimodal pipelines (text + voice + screenshots)., • Prior experience in contact center/CX analytics or novelty/anomaly systems., • Founder or founding engineer experience

Location: London – Hybrid (2-3 days/week onsite, plus client visits). Salary: From £90,000 + bonus, negotiable. Term: Permanent / Full-time (flexible working arrangements). About the Company Our client is a next-generation Data & AI consultancy, supporting clients across data, AI, and cloud to build scalable, modern platforms while developing the next generation of tech leaders. They are known for their collaborative culture, focus on learning, and delivery of innovative data solutions. The Role We’re seeking a Snowflake Centre of Excellence Lead to be the technical authority on all things Snowflake. In this hands-on role, you’ll: • Establish and lead the Snowflake Centre of Excellence., • Develop Snowflake IP, including best practices, accelerators, frameworks, and reference architectures., • Provide technical assurance and leadership across delivery projects., • Support pre-sales activities, thought leadership, and client advisory., • Explore Snowflake’s app development and integrations to power new business offerings., • Collaborate with colleagues to design repeatable Snowflake-based solutions. Skills & Experience Essential: • Extensive hands-on experience designing and delivering Snowflake solutions, including Snowpipe, Streams & Tasks, Data Sharing, Native Apps, Snowpark, Data Clean Rooms, and Cortex., • Track record of training and upskilling colleagues or clients in Snowflake., • Recognised Snowflake certifications (SnowPro Core, SnowPro Advanced: Architect/Data Engineer)., • Experience optimising Snowflake performance and cost., • Solid understanding of software engineering lifecycles and modern development practices (Python or similar)., • Experience leading multidisciplinary data teams in consulting or enterprise environments., • Excellent communication skills with technical and non-technical stakeholders. Desirable: • Experience with other modern data platforms (Databricks, Azure, AWS, GCP)., • Experience with platform observability and CI/CD for data platforms., • Hands-on experience with tools like dbt, Fivetran, Matillion, or Airflow., • Experience supporting pre-sales activities in a consultancy or product business. Why Join? • Work with cutting-edge data and AI technology., • Collaborate with passionate, high-performing teams., • Shape the future of Snowflake delivery at a market-leading consultancy., • Hybrid working with flexible arrangements and equity options.

Staff Software Engineer – AI/ML (London (Hybrid – 2 days per week in office) An opportunity to take on a high-impact, hands-on leadership role within a scaling global SaaS company that’s using AI to reinvent how internal business systems and data work together. As a Staff Software Engineer (AI/ML), you’ll be the technical lead for a newly formed AI Engineering function. You’ll build and scale AI-powered backend systems that connect enterprise data platforms (CRM, analytics, and communication tools) with large language models — creating intelligent tools and insights that enhance the way teams operate. What You’ll Do • Lead the design, architecture, and implementation of internal AI/ML systems for business intelligence., • Build robust APIs, microservices, and data pipelines to power intelligent, data-driven tools., • Develop retrieval-augmented generation (RAG) systems using vector databases for contextual AI., • Set the technical direction for backend and AI integration best practices., • Partner with cross-functional teams to identify and deliver high-value AI applications., • Mentor engineers and shape the company’s approach to internal AI enablement. What You’ll Bring • 7+ years’ experience in backend or full-stack engineering, ideally within a SaaS or data-driven business., • Strong knowledge of LLMs, prompt engineering, and fine-tuning approaches., • Hands-on experience with AI/ML pipelines and vector databases (e.g. Pinecone, FAISS, Weaviate)., • Proficiency in Python plus at least one other backend language (TypeScript or Java preferred)., • Proven experience with AWS, containerisation, and infrastructure as code (Terraform, Docker)., • Solid understanding of API design, data modelling, and microservice architecture., • Excellent communication skills, with the ability to translate technical outcomes into business impact. Tech Environment • Languages: Python, TypeScript, Java, • AI/LLM: OpenAI, Anthropic, Retrieval-Augmented Generation (RAG), • Infrastructure: AWS (Lambda, ECS, S3), Terraform, Docker, • Databases: PostgreSQL, MySQL, Redis, vector databases, • DevOps: GitHub, CI/CD pipelines Why Join • Competitive salary and comprehensive benefits package, • 25 days annual leave + bank holidays, • Paid sick leave and parental leave, • Hybrid working with a central London office (bike storage and showers available), • “Work from Abroad” policy (up to 5 days per year), • Pension scheme, • Collaborative, inclusive, and forward-thinking engineering culture, • Strong focus on career development and ownership

Summary • Salary band £100k-120k + equity, • Hybrid working policy: Mandatory minimum three days a week in our Waterloo office, • Experience level: At least five years in commercial software engineering 🚀 About Orchestra Orchestra is an AI-native data pipelining platform building the future of data orchestration observability. We have built a declarative framework allowing data engineers to explicitly declare how their data pipelines behave. Think CI/CD but for data teams! Backed by VCs from San Francisco, New York and London with angels from across the data space and beyond. 👷Engineering at Orchestra • We care deeply about our users—their pain points and experience, • We're a small team of generalists who embrace new challenges regularly, • We're united by our mission, focused execution, and speed, • We deploy to production multiple times a day 🛠️Tech Stack • Backend: Python (FastAPI) + Typescript (express), • Frontend: React + Typescript, • Infrastructure: AWS (serverless!), terraform, • Containerisation: Docker, • Database: PostgreSQL + DynamoDB, • CI/CD: GitHub actions + Blacksmith runners 🖥️What You'll Do • Build exceptional product and scale the core experience, • Implement and maintain features across the full stack (with focus on the backend), • Own systems end-to-end, • Collaborate closely with customers, • Drive the full development lifecycle, • Contribute to shaping our culture and strategy 🙋 About you • 5+ years of experience building and shipping full-stack products., • Strong programming skills in Python, • Concrete understanding of system design and scalable backend systems., • Proficiency in React + TypeScript or a willingness to learn and contribute to frontend experiences., • Fast, resourceful, and opinionated - you know when to ship and when to conduct an experiment., • Demonstrated experience working in a cloud environment Benefits‍ • Competitive salary + equity, • Bi-annual offsite, • Regular team dinners + socials, • Choice of laptop

We are looking for a Senior Software Engineer with strong expertise in .NET and AWS to join our client Key Responsibilities • Design, develop, and maintain scalable, high-performance software solutions., • Develop and manage Infrastructure as Code (IaC) using AWS CDK (Python) to automate deployment and cloud resource management., • Drive code quality through automated testing, unit testing, and adherence to clean code principles., • Manage and optimize CI/CD pipelines to improve delivery efficiency., • Monitor system performance, troubleshoot issues, and ensure optimal uptime and reliability., • Implement and uphold security best practices across all applications and infrastructure., • Participate in agile ceremonies and promote a continuous improvement mindset within the team., • Experience as a Senior .NET Engineer, ideally within financial services or a similarly complex domain., • Strong hands-on experience with AWS and Infrastructure as Code, particularly AWS CDK in Python., • Familiarity with Entity Framework (or similar ORM frameworks) and contract-first system design., • Solid understanding of automated testing frameworks and unit testing principles., • Agile methodologies and a collaborative, growth-oriented mindset., • Excellent problem-solving, analytical, and communication skills. Technical Skills • Proficient in back-end development using .NET., • Strong understanding of microservices architecture and cloud-based systems., • Solid knowledge of database design (relational and/or NoSQL)., • Hands-on experience with Docker for containerization; familiarity with Kubernetes (or working closely with DevOps teams for orchestration)., • Proficiency with Git for version control and JIRA for agile backlog management., • Experience in CI/CD tools and pipelines., • Ability to produce clear, well-structured technical documentation., • Strong collaboration skills and the ability to work both independently and as part of a team.

Java Engineer – 6-Month Contract – Hybrid (2 days on site, London) - Day Rate: Up to £650 (Inside IR35) Join a high-performing engineering team working on large-scale, high-availability systems used by millions. This role offers the chance to build and enhance complex backend services in a modern, cloud-native environment. What you’ll be doing: • Designing and developing performant, scalable backend systems using Java (up to Java 21)., • Building microservices with Spring Boot and related frameworks., • Developing and maintaining RESTful APIs and event-driven systems., • Writing clean, testable code and following TDD principles., • Working closely with DevOps, Product, and QA teams to deliver high-quality solutions., • Deploying and supporting services in AWS with tools such as Lambda, ECS, S3, and CloudFormation. What we’re looking for: • Strong experience with Java, Spring Boot, and microservice architecture., • Proven background working in cloud environments (ideally AWS)., • Familiarity with CI/CD pipelines and automation tools., • Solid grasp of software testing, TDD, and Agile methodologies., • Good communication skills and the ability to work collaboratively in a hybrid setup. Contract Details: • Location: London (2 days per week on site), • Duration: 6 months, strong potential for extension, • Rate: Up to £650 per day (Inside IR35) If you’re an experienced Java Engineer keen to join a modern engineering environment and work on systems that operate at scale, please get in touch for more information.

Principal Python Engineer Salary: Up to £130k + bonus Location: London (3x per week) I’m working with a global financial organisation that’s investing heavily in its data and cloud technology platform, and they’re looking for a Python Engineer to join their growing Investment Technology team. You’ll be: • Building clean, scalable Python back-end systems, • Designing cloud-first solutions in AWS (Lambda, AppSync, DynamoDB), • Collaborating with data, investment, and engineering teams, • Shaping best practices across CI/CD, DevOps, and agile development What we’re looking for: • 5+ years’ experience in software engineering (3+ in Python), • Needs to have experience within financial services, fintech, or investment tech!, • Strong AWS and data engineering experience, • Solid understanding of APIs, SQL/NoSQL, and modern software design, • A problem-solver who enjoys working closely with the business If you’re a Python engineer who loves solving complex data challenges in a collaborative, cloud-first environment — drop me a message: THIS ROLE DOES NOT PROVIDE SPONSORSHIP