Tooling jobs in United Kingdom - Page 4

Novatus Global is a Series B scale-up RegTech SaaS provider and boutique advisory firm, helping financial institutions manage their most complex regulatory requirements. We combine deep consulting expertise with cutting-edge SaaS solutions, enabling clients to strengthen compliance, enhance resilience, and drive sustainable growth. Our flagship SaaS platform, En:ACT (short for Enabing Accurate Compliance in Transaction reporting), is a market-leading solution for regulatory transaction reporting and reconciliation across global regimes. En:ACT automates reporting, reconciles data across systems, and maps errors directly to regulatory rules, helping firms remediate quickly, reduce risk, and meet regulatory obligations with confidence. Already trusted by more than 30 firms worldwide, the platform is scalable, proven, and designed for both business and technical users. Alongside our SaaS offering, our unique model delivers consulting services across Risk & Compliance (including Transaction Reporting and Operational Resilience), ESG, Strategy, Data, and Operations. Unlike larger consultancies, we embed ourselves within client teams to deliver both insight and execution, taking ownership of outcomes and driving measurable impact. Since our launch in 2019, we have scaled rapidly, creating space for our people to grow with the business. Backed by North American private equity investment, and partnerships with the London Stock Exchange Group and Snowflake’s global data platform, we are shaping the future of regulatory compliance through innovation in both advisory and technology. Our growth plans do not stop here; we are on the lookout for top-tier talent to join us on our journey and enable our next phase of success. Job Overview As a Data Engineering Lead, you will manage a team of Data Engineers whilst remaining hands-on with delivery and architecture. You'll be providing technical leadership and mentorship to your team, and writing clean, maintainable, and well-tested code. You will be accountable for our configuration-driven data platform in Databricks, enabling non-engineers to define regulatory logic, and our Snowflake data warehouse, ensuring scalability, auditability, and fitness for client-facing regulatory use cases. You will set technical direction, drive standards, and ensure high-quality execution across the team. You’ll join at a pivotal stage as we modernize our data infrastructure, migrating from Python scripts and MySQL to Databricks and Snowflake. Our systems power regulatory reporting for major financial institutions, requiring precision, traceability, and reliability. What You'll Do • Own the architecture, roadmap and delivery for our configuration-driven data framework in Databricks and our Snowflake warehouse., • Manage and mentor a team of Data Engineers in a player/coach capacity., • Design, build, and optimize data pipelines using Databricks, Kafka, Python and PySpark., • Evolve a configuration-driven platform enabling non-engineers to define regulatory logic., • Ensure pipelines are auditable, lineage-aware, idempotent, and resilient in regulated environments., • Implement robust data quality controls including testing, validation, monitoring, and alerting., • Drive performance optimization across Spark and Snowflake workloads., • Partner with Product, Engineering, DevOps, and Regulatory teams to translate requirements into scalable technical designs., • Improve engineering standards, processes, and tooling across the data function. Must-Haves • Experience leading an Engineering team., • Experience building data pipelines using Python and PySpark., • Experience designing auditable, reproducible data pipelines in regulated or high-integrity environments., • Able to write and optimize complex SQL queries on large data sets., • Strong data modeling and warehouse design fundamentals., • Strong software engineering fundamentals (clean code, automated testing, CI/CD, observability), • Experience with modern cloud data platforms and orchestration tools., • Ability to translate complex regulatory requirements into technical specifications., • High ownership mindset and accountability for delivery and reliability. Nice-to-Haves • Experience with Kafka or other event streaming platforms., • Hands-on experience with AWS cloud infrastructure., • Experience building new data platforms or modernizing legacy systems., • FinTech, RegTech, or financial services background. Perks & Benefits • Private Medical Insurance (AXA) – includes mental health, dental, vision, and private GP access, • Life Insurance (4× salary) with Unum, • Unum’s Help@Hand: includes medical second opinions, physiotherapy, lifestyle coaching, savings and discounts, and cancer support services for you, your partner, and your child(ren), • Employee Assistance Program, • Enhanced parental leave (maternity & paternity), • Professional qualification sponsorship, • Accelerated career progression based on performance, not tenure, • Holiday entitlement increases with tenure, • Flexible hours with core collaboration time, • Paid volunteering leave, • Gym & fitness discounts, • Quarterly socials, and office snacks & drinks, • Interest-based working groups to collaborate and innovate Novatus Global’s Equal Opportunities Statement Novatus is an Equal Opportunity Employer. All employment decisions are made based on business needs, role requirements, and individual qualifications, without regard to race, age, religion or belief, sex, sexual orientation, gender identity or expression, marital or civil partnership status, pregnancy or maternity, socioeconomic background, disability, or any other characteristic protected under the Equality Act 2010. We maintain a workplace culture that is inclusive, respectful, and supportive. Our recruitment and selection processes are designed to ensure fairness and consistency for all candidates. Reasonable adjustments are available throughout the application and interview process, and candidates are encouraged to contact Human Resources to discuss any specific requirements. This commitment is embedded in all aspects of our employment practices, including recruitment, compensation, professional development, promotion, and workplace conduct.

Senior AI Engineer / Data Scientist Location: London - hybrid working The Opportunity: You’ll join a well-funded, early-stage startup building AI-driven software for regulated financial institutions. The platform uses AI and machine learning at its core to help organisations solve complex operational and compliance challenges. The engineering team is building a modern microservice architecture in AWS with a strong focus on automation, testing, and rapid deployment. The team values clarity, transparency, and craftsmanship. AI is not only central to the product, but also to how the team builds, experiments, and works day-to-day. The company operates with a London hub but supports flexible hybrid or remote working. What Success Looks Like: • AI outputs that are consistently accurate, actionable, and valuable for customers, • Rapid experimentation and iteration that drives product-market fit and scalable solutions, • A system that learns and improves through real user feedback, • High-quality, well-tested AI systems that can confidently operate in production What You Bring: • A naturally curious mindset, you constantly ask “what if?” and explore better approaches, • A proven track record delivering ML / AI solutions into production environments, • Strong Python expertise and experience with modern AI/ML frameworks such as:, • PyTorch, • TensorFlow, • scikit-learn, • NumPy, • Pandas, • Hands-on experience with Generative AI, agentic AI systems, and AI testing frameworks, • Strong communication skills and a passion for clear documentation and knowledge sharing, • The ability to thrive in fast-moving, ambiguous environments where experimentation is encouraged What You’ll Work With: Tech Stack • Frontend: React, • Backend: NestJS, Python (FastAPI), LangChain, • Test Automation: Pact, Jest, Cypress, Pytest (including AI testing), • Infrastructure: AWS ECS, PostgreSQL, Kafka, • Infrastructure as Code: Terraform (native AWS services where possible), • CI/CD: GitHub-based tooling What’s in it for you: • Significant ownership over core AI systems and product capabilities, • The opportunity to evolve an MVP into a market-leading platform, • Direct collaboration with founders and senior leadership, • A culture that values innovation, learning, and experimentation, • Flexible working arrangements (London hybrid or remote), • Competitive compensation for senior talent, • Access to cutting-edge AI tools and infrastructure Apply below if you're interested!

Software Engineer (Senior) | C#/.Net & SQL Server | Systematic Hedge Fund Trading Live Markets • Salary: £120,000 – £160,000 + bonus (up to 100%), • Location: London (city) (primarily office-based) My client is a long-established systematic hedge fund, just under 20 people in total, with roughly half the business sitting in engineering. They’ve been running for over two decades, quietly successful, and very deliberate about how they build both software and teams. You’d be sat directly on the trading floor in London, working alongside traders, engineers, and the CEO day to day. It’s a tight-knit environment where technology isn’t a support function, it is the business. The systems you’ll be working on are the ones executing trades in live markets. The role itself sits right at the centre of that. You’ll be evolving a long-lived execution platform while contributing to a broader modernisation effort. Day to day, that means a mix of careful refactoring, incremental improvements, and responding to real-time trading needs. You’ll be speaking directly with end users, making changes that have immediate impact, and shaping how the platform develops longer term. Non-Negotiables • Degree in STEM subject (Computer Science, Maths, Physics or similar), • 2:1 or above (or equivalent), • C# / .Net (strong production experience), • SQL / relational databases, • Financial services engineering (direct exposure required), • Trading systems or execution platforms, • Hedge fund / systematic trading environment, • Algorithmic trading software development, • Software testing and safe refactoring practices, • Clear technical communication (working with traders and senior stakeholders) What You'll Work With • C#, • .NET Framework, • SQL Server, • WinForms desktop applications, • Azure, • Kafka, • Automated testing frameworks, • Legacy platform modernisation Nice to Haves • Futures, options, or crypto markets, • Python, • DevOps tooling, • High-availability systems, • Large-scale refactoring work, • Containerisation (Docker) Why Join / Projects This is one of those environments where the gap between engineering and trading doesn’t really exist. You’ll be sat with the people using what you build, which changes the nature of the work quite a bit. There’s a genuine mix of challenges here. Part of the role is careful, considered work on an established platform that’s been evolving for years. The other side is contributing to where it goes next, with plans around modernising the architecture and improving how new strategies are built and deployed. It’s also a small team, which means your work doesn’t disappear into a backlog. You’ll see the outcome of what you build, and you’ll have a say in how things are done. Access to leadership is direct, and expectations are high, both technically and academically. Employee Benefits • Bonus up to 100% of base salary, • Highly collaborative, front-office environment, • Direct access to traders and senior leadership, • Long-term, engineering-led culture Software Engineer (Senior) | C#/.Net & SQL Server | Systematic Hedge Fund Trading Live Markets

Python Software Engineer – High-Frequency Trading We're working with a high-frequency trading (HFT) firm that is looking to expand its technology team with a Python Software Engineer. This is an opportunity to join a trading firm operating at the cutting edge of global markets, where technology and speed are paramount. They build and run highly scalable, ultra-low latency trading systems that compete across major global exchanges. You’ll work on some of the most complex and rewarding engineering challenges in the financial technology space. The Role As a Python Software Engineer, you’ll collaborate with traders, quantitative researchers, and other developers to design, develop, and optimise trading infrastructure. You’ll be directly contributing to systems that operate at nanosecond-level latency and handle massive volumes of real-time data. Key Responsibilities • Develop and maintain systems for real-time market data, trade execution, and reconciliation., • Optimise performance and scalability across key trading infrastructure components., • Partner with cross-functional teams to improve tooling, observability, and automation., • Deliver robust, production-ready solutions in a fast-paced environment. Requirements • Min 2+ years of Python experience in a professional setting (HFT, trading, fintech, or other high-performance domains)., • Exposure to C++ or willingness to work in multi-language environments is a plus., • Familiarity with GUI, SQL databases and Linux-based systems., • Interest in financial markets, real-time systems, or algorithmic trading. Why Apply? • Opportunity to work on high-impact systems used in live trading., • Collaborate with some of the brightest minds in quantitative finance and software engineering., • Competitive compensation package with a base salary, plus bonus. We are reviewing applications on a rolling basis. If this role sounds like a fit, apply now to learn more. Please note: Due to high application volume, we’re only able to respond to candidates who are shortlisted within 3 working days.

💡 Role Overview We’re hiring our first engineer dedicated to internal go-to-market and operations systems. This is a foundational role where you’ll design and build an AI-first internal stack from scratch, enabling Sales, Finance, Ops, and Customer Success to operate at maximum velocity. You’ll have end-to-end ownership across tooling, data, and automation; shaping not just systems, but how the company runs. In this role, you will: • Architect and implement an AI-native internal tech stack, influencing infrastructure decisions and long-term direction, • Rapidly ship internal tools and workflows, iterating directly with teammates who use them daily, • Build and maintain our data warehouse and internal data architecture, • Develop automation systems leveraging LLMs, agents, and modern AI tooling, • Help define engineering standards and culture as we scale 🔥 About You We’re looking for someone who genuinely enjoys building tools that make commercial teams faster and more effective. You likely: • Have led projects independently from idea to production, and are comfortable collaborating with multiple senior stakeholders, • Communicate clearly and can translate ambiguous business needs into structured technical solutions, • Are familiar with commercial and operational tooling such as Notion, Slack, Retool, Amplitude, Stripe (or similar ecosystems), • Sales, Finance, Ops, and Customer Success teams will rely on you to improve efficiency and introduce AI-driven workflows, • Are highly proficient in PostgreSQL and at least one major data platform (e.g., Snowflake, BigQuery, Databricks, Firebolt), • Experience with Node.js and TypeScript is a plus, • Thrive in fast-paced startup environments and feel energized by ambiguity, • Move quickly and constantly look for ways to ship faster Bonus: Experience designing or building AI-powered internal tools or automation systems. 🚀 Why Join Us • Autonomy with mentorship: You’ll be the first London-based engineer with high ownership, while receiving guidance from a senior engineering team in NYC. You’ll travel to NYC for onboarding and project collaboration., • Exceptional traction: 10× revenue growth in 2025, profitable, and trusted by leading firms including MBB, Big 4, and top-tier mega-funds., • Flat structure: Minimal layers between you and leadership. Direct access to the CTO and CEO, with meaningful responsibility from day one.

Senior ML Engineer: Up to 115k Xcede is partnering with one of Europe’s leading applied AI organisations. The company collaborates with governments and major enterprises to address complex, high-impact challenges using machine learning and advanced data science techniques. One of the standout aspects of this organisation is its reputation as a tech unicorn valued at over £1bn, recognised for delivering safe and practical AI solutions at scale. They are currently looking to bring in Senior Machine Learning Engineers to join their Financial Services unit. The ideal candidate will have experience working as an ML Engineer with Large Language Models (LLMs), particularly across the application, deployment, and productionisation of ML systems in financial environments. In this role you will: • Design and deploy machine learning systems that operate in real-world production environments, • Build scalable ML tooling and infrastructure to support the efficient development, testing, and deployment of models, • Collaborate closely with data scientists, engineers, and business stakeholders to tackle key client challenges, • Contribute to technical architecture decisions, ensuring ML systems are scalable, reliable, and effective, • Establish and promote best practices for deploying ML systems at scale, • Act as a technical advisor for clients and partners, translating complex ML concepts into practical solutions Requirements: • Strong understanding of the end-to-end machine learning lifecycle, • Strong Python programming skills, • Experience working with cloud infrastructure such as AWS, • Hands-on experience with Docker and Kubernetes for scalable deployments, • Solid grounding in machine learning concepts, statistics, and probability, • Ability to communicate effectively with both technical and non-technical stakeholders, • Comfortable working in fast-paced environments with ownership over delivering solutions If you are interested in this or other ML Engineering positions, please contact Gilad Sabari @ | 02074226861

Senior AI Platform Engineer London, 4 days a week on site Up to £140,000 Overview We’re partnering with a high-growth technology company, supporting them in hiring a Senior AI Platform Engineer to help scale their next-generation AI capabilities. This organisation is moving beyond experimentation - focusing on building robust, production-grade AI systems that deliver real business impact. With significant investment in AI, platform engineering, and cloud infrastructure, they are creating the foundations for scalable, secure, and reliable AI adoption across their products. This is a unique opportunity to join at a pivotal stage, shaping the core AI platform that enables teams to rapidly prototype, deploy, and operate AI solutions in production. What You’ll Do • Build and scale a core AI platform for LLMs and AI applications, • Develop APIs and tooling for easy AI adoption across teams, • Orchestrate multi-model and agent-based workflows, • Implement RAG pipelines and manage vector search systems, • Ensure strong monitoring, security, and governance, • Automate deployments using Kubernetes, Terraform, and CI/CD, • Collaborate with product, security, and engineering teams What You’ll Bring • Strong software/platform engineering experience (Python, Go, or Java), • Experience with distributed systems and cloud (GCP preferred), • Hands-on Kubernetes and cloud-native tooling, • Familiarity with LLM frameworks (e.g., LangChain, CrewAI), • Experience with vector databases and RAG, • CI/CD and infrastructure-as-code skills, • Understanding of AI reliability, monitoring, and governance Why Join Play a key role in building the platform that underpins AI at scale - combining cutting-edge AI technologies with solid engineering foundations.

Senior Software Engineer Location: London (Hybrid / On-site) Salary: £100,000 – £150,000 + equity About the Company We’re working with an early-stage, venture-backed legal technology startup on a mission to transform one of the UK’s most broken consumer experiences: the legal process behind property transactions. This market is large, fragmented, and outdated, with high failure rates, poor transparency, and processes still reliant on manual workflows. The company is building the UK’s first AI-native law firm, starting with property transactions and scaling towards a full-service, AI-first legal platform with global ambitions. The business is backed by a leading early-stage VC fund and experienced angel investors, and led by a founder who has previously built and scaled a regulated fintech business to multi-billion-pound lending volumes. That experience provides a strong foundation for navigating regulation while moving quickly in a traditionally slow industry. The Role This is an opportunity for a Staff or Senior Product Engineer to join as one of the earliest engineers in the business. You’ll be part of a small, high-calibre team of generalists who value product thinking, speed, and engineering craft. From day one, you’ll have significant ownership, shaping product direction, shipping to production quickly, and working directly with users to define what should be built. Requirements won’t always be fully formed; you’ll be expected to explore problems, test ideas, and iterate fast. This role reports directly to the founder and offers genuine influence over both product and technical direction. What You’ll Do • Build and ship production features from your first week, • Work closely with users to understand pain points and validate solutions, • Help define product strategy in an ambiguous, fast-moving environment, • Design and scale TypeScript-based systems across the stack, • Build AI-powered workflows and agent-based systems that go beyond basic prompting, • Set engineering standards and raise the bar as the team grows You May Be a Good Fit If You • Have experience at early-stage startups and enjoy high ownership, • Think in terms of user problems, not just technical implementations, • Have scaled and maintained complex TypeScript codebases, • Are comfortable working end-to-end across product and engineering, • Actively experiment with and refine AI-assisted development workflows, • Have built LLM-powered systems or AI agents in production environments Tech Stack • TypeScript monorepo, • React, tRPC, Tailwind, • Event-driven workflows and background jobs, • Deployed on Google Cloud Platform, • Postgres What’s On Offer • £100,000 – £150,000 base salary (depending on experience), • Meaningful early-stage equity, • 5% employer pension contribution, • Private medical cover (including dental and optical), • 25 days holiday plus bank holidays, • Choice of AI tooling, • London-based role (Shoreditch), working closely with the founding team

Quant Analyst A London based investment firm is looking to hire a Quant Analyst to join a team working directly alongside traders and quantitative researchers. This role focuses on data analysis, signal development, and building tools that support live trading strategies. While the desk specialises in credit markets, the team is open to candidates with experience across other asset classes. Responsibilities • Analyse large datasets to identify patterns and trading signals, • Develop quantitative tools and models used by the trading desk, • Work closely with PMs and researchers to improve the investment process, • Support research and implementation of trading strategies, • Contribute to the development of data infrastructure and analytical tooling Requirements • Experience in a quantitative role within financial markets, • Strong background in data analysis and modelling, • Degree in Mathematics, Statistics, Physics, Engineering, or similar quantitative field, • Programming experience with tools commonly used in quantitative analysis, • Ability to collaborate closely with traders and researchers, • Candidates should already be based in London This role offers the opportunity to work very close to the trading process, with direct exposure to investment decisions. 📩 Process note: If you don't hear back within 3 days, your application was unfortunately not successful.

This is a job that Scout, our AI Recruiter, is recruiting for on behalf of one of our clients. She will pick the best candidates from ivee's network. The next step is to create an ivee profile. Junior Back-end Engineer Company Description: Fast-growing scale-up This is a great opportunity to join a fast-moving engineering team as a Junior Backend Engineer. You’ll help build and maintain scalable backend systems that power real-world applications, working closely with product and front-end teams. It’s a hands-on role designed for someone early in their backend career who’s excited to learn, ship, and grow. Key responsibilities: • Build and maintain server-side logic using modern backend frameworks (e.g. Node.js, Python, Go), • Work with APIs — designing, integrating, and maintaining RESTful endpoints, • Support database design and optimisation (e.g. PostgreSQL, MongoDB), • Collaborate with front-end and product teams to deliver full-stack features, • Write clean, testable, and maintainable code, • Help improve system performance, scalability, and security, • Participate in code reviews and learn from senior engineers, • Stay curious and keep learning — especially in areas like DevOps, testing, or AI tooling What we're looking for: • 1–2 years of experience (including internships or personal projects) in backend development, • Proficiency in at least one backend language (Node.js, Python, Go, etc.), • Basic understanding of how REST APIs work, • Familiarity with databases and version control (e.g. Git), • Strong problem-solving mindset and attention to detail, • A willingness to learn fast and take feedback, • Bonus: any experience with cloud platforms (AWS, GCP), testing frameworks, or containerisation How to apply: Click apply to submit your application. To be automatically shortlisted for future roles like this, head to ___ to make a free account. Don't forget to upload your CV and write a bio to begin being headhunted for your dream position!

• Job Title: Senior Back End Developer, • Salary Range: £90,000 – £110,000 + bonus, • Location: London | Hybrid (2–3 days office) Our client is investing heavily in a new digital capability as part of a wider transformation programme, creating a rare opportunity to join at the very start of a greenfield product build. This Senior Back End Developer role will shape a brand-new data platform designed to support complex decision-making for major global organisations. You’ll join a highly experienced, close-knit team with the autonomy to define architecture, tooling, and engineering standards from day one. The Senior Back End Developer will play a critical role in turning early product ideas into a scalable, production-ready platform, combining start-up agility with the backing of a well-established business. The Senior Back End Developer will… take ownership of backend engineering for a new API-first data intelligence platform. Role Highlights • Design and build scalable backend systems from a true greenfield starting point, • Define architecture, balancing rapid delivery with long-term scalability, • Develop API-first services for data-heavy, enterprise-grade applications, • Embed observability, metrics, and performance tracking from day one, • Collaborate within a small, high-autonomy team shaping a new product You Will Need • Extensive backend development experience within data-driven B2B environments, • Strong programming skills in Python or Go, with API design expertise, • Experience building and scaling cloud-based infrastructure (Docker, Kubernetes, CI/CD), • Proven use of AI-assisted development tools in real-world workflows, • Ability to break down complex problems and deliver iterative solutions Why You’ll Love It • £90,000 – £110,000 base salary plus annual bonus, • True greenfield project with high ownership and influence, • Clear progression as the team and product scale, • Private healthcare, strong pension, and development budget If you’re interested in this exciting Senior Backend Engineering role and have the right experience, please apply ASAP with a copy of your CV.

Are you a talented, super-ambitious full-stack developer? Excited by building solutions to real-world challenges? Motivated by owning shares in a high-growth business? Want to join a team of smart, committed, and highly functioning professionals? This might be the role for you! The company… Our client is an ambitious, fast-growing EdTech disruptor. They exist to create a world where educators are liberated from administrative burdens and empowered to focus entirely on what matters most—nurturing the potential of every student. Their mission is to unify the fragmented landscape of school technology through intelligent, human-centred design. By replacing disconnected silo systems with one seamless platform, they restore joy to teaching, strengthen connections between schools and families, and empower students to take ownership of their learning journey. They partner with educators to build software that serves people, not the other way around. Schools are often stuck juggling siloed systems that don’t talk to each other, creating frustration, duplication, and wasted time. The team have lived that reality themselves, and it’s exactly what they set out to fix. They started by transforming how music departments are managed and quickly became the market leader. Now, they’re scaling that approach across schools more broadly, building tools that bring activities, communication, and data together into a single intuitive platform. Their distinctiveness lies in their world-class technical talent, producing elegant software solutions, a profound passion for education's transformative potential beyond the core curriculum, and their impatience with inefficient systems that hinder children's potential. They move fast, listen carefully to users, and value people who take initiative. The role… They’re hiring their second full-stack developer to work closely with their experienced Lead Developer and CPO to supercharge their development capacity. The role will involve quickly building and evolving areas of the platform, with a focus on customer success. This role is central to enhancing platform adoption, and to this end, the first few months will be spent working closely with schools to help onboard, train and increase adoption. The role comes with a high degree of ownership and will be rewarding for an individual who can proactively apply their technical prowess to adapt our platform to help customers. Key Responsibilities • Pursue excellence in rapid product development: Use all means at your disposal to write excellent code and increase value for the teachers, parents and students using the platform., • Pursue excellence in customer success: During the initial 3-month period, proactively increase platform adoption and engagement, ensuring customers fully leverage it to manage their school. Continue with this mindset as a full member of the product development team., • Team fit and agility: Engage in product and customer-focused discussions within the team, collaboratively solving puzzles and balancing needs between different priority areas., • Platform support: Provide technical support as needed, ensuring rapid, effective issue resolution to enhance satisfaction and drive platform adoption. This role is suited to someone seeking more than just a job. It is suited to someone who wants a stake in a business and is relentless in the pursuit of growth. The package • Up to £90,000 salary, • A stake in the success of the company through share options, • Fast-growing company with plenty of room for progression, • 34-days holiday, including bank holidays., • Uncapped training and development budgets, • Vibrant team with regular socials, like pool, darts and drinks, • Team retreats, • Weekly lunches, • 6 monthly pay reviews, • Opportunity to work in a uniquely high-performance team - if you're impatient for progress, then we're the place you'll thrive, • Regular Mario Kart action! To be successful, you will… • Have experience with React / NodeJS, • Have expertise in Typescript/JavaScript, with proven experience in development role(s), • Have exceptional problem-solving abilities, proven in diagnosing and fixing complex technical issues, • Have excellent communication skills, able to foster strong customer relationships while bringing technical solutions, • Have a good understanding of software development practices, • Have a commitment to ongoing learning and adapting to new challenges in a dynamic environment Ideal, but not essential… • Experience with MongoDB, • Experience with AWS-style cloud platform architecture, • Knowledge of automated testing tools and frameworks, • Experience using AI tooling to amplify development output, • A passion for enhancing product user experience Apply! If you’re smart, incredibly driven, and want to build something big, apply now.

Are you tired of being a small cog in a massive corporate machine? Do you miss the thrill of building products that people actually love to use? We are representing a globally recognized digital product studio that sits at the sweet spot of high-end aesthetic design and hardcore engineering. They're looking for a Senior & Lead Full-stack Engineer to join the growing function. This isn't a "ticket-taking" role. This is a place for Product Engineers—people who care as much about the "Why" and the "How it feels" as they do about the "How it scales." Why You’ll Love It Here • True Multidisciplinary Craft: You’ll be embedded in elite squads alongside world-class designers, product strategists, and agile coaches. You won’t just be "fed" Jira tickets; you’ll be shaping the product's DNA from day one., • Radical Variety: One month you might be architecting a serverless backend for a global household name, the next you’re prototyping a sleek, interactive frontend for a disruptive startup., • Tech-Forward Autonomy: While we lean heavily into the React and Node.js ecosystem, we believe in using the best tool for the job. You’ll have the space to bring new tools, LLM-augmented workflows, and modern cloud patterns into the fold., • A Culture of Sharing: This is a "no-ego" environment. Whether it’s a weekly tech demo or a deep dive into new infrastructure patterns, you’re part of a collective that prioritizes growth and transparency over hierarchy. What You’ll Be Doing You’ll lead from the trenches. You’ll be the technical heartbeat of your team, guiding clients through complex technical problems, bridging the gap between a beautiful UI and a robust, scalable backend. What You Bring to the Table • React, • Node/ TypeScript/ JavaScript, • Cloud: AWS, Azure, or GCP., • APIs: API design and integration (REST & GraphQL)., • AI Tooling: Confident using AI-boosted environments to ensure quality (Claude or similar). The Cherry on Top If you’ve dabbled in Infrastructure as Code (Terraform), messed around with Docker/K8s, or are currently exploring the world of AI-assisted development (RAG, vector stores, or agentic workflows), you’ll find plenty of room to flex those muscles here. :)

🚀 Senior Systems Engineer (Linux, On-Prem, Python) 📍 London / Dublin (Hybrid) 🚫 Important This role is not suited to candidates with primarily cloud-based experience (AWS/GCP/Azure). We’re specifically looking for engineers who have worked directly with on-premise infrastructure, physical servers, and OS-level systems. 💡 The Opportunity We’re partnered with a global, high-performance trading technology environment operating at extreme scale. Their infrastructure underpins real-time systems across multiple global data centres, where latency, reliability, and performance are critical to the business. This is not a cloud-first environment. You’ll be working directly with physical servers, bare metal infrastructure, and highly tuned Linux systems that require deep technical understanding and precision. ⚙️ What You’ll Be Doing • Designing, building, and maintaining high-performance Linux server environments, • Troubleshooting complex issues across production infrastructure at scale, • Writing and maintaining automation and tooling (Python + Bash), • Tuning systems to improve latency, performance, and efficiency, • Managing configuration, deployments, and OS-level environments, • Working closely with internal engineering teams and vendors globally, • Contributing to capacity planning and long-term infrastructure strategy 🧠 What We’re Looking For • 5+ years experience working with Linux in production environments, • Strong experience with on-prem / physical server infrastructure (non-cloud), • Solid Python scripting experience (essential), • Deep understanding of networking fundamentals and protocols, • Experience with tools such as Ansible, Kickstart, package management, version control, • Exposure to low-latency or high-performance environments, • Experience with storage (NAS) and system-level configuration (BIOS, kernel tuning, etc.), • Strong troubleshooting mindset with the ability to operate in fast-paced, high-pressure environments 📈 Why This Role • Work on mission-critical systems where performance actually matters, • Direct exposure to large-scale, globally distributed infrastructure, • Highly technical environment with strong engineering standards

Senior SRE Engineer | Azure, Observability & Reliability Engineering | Platform Transformation in Financial Services • Location: London (Hybrid, typically 3 days onsite), • Permanent, Full-time, • Salary: £80k–£90k + bonus + benefits, • Visa sponsorship: Not available The Role You’ll join as the first dedicated SRE hire, with responsibility for establishing SRE practices across a live Azure-based platform and a new strategic platform being brought into service. The role is focused on reliability, observability, incident management, resilience, and automation. You’ll help define how services are measured and operated, introducing practical improvements around SLIs, SLOs, error budgets, monitoring, and service ownership. This is a hands-on role for someone who has done this before and can bring structure, prioritise well, and build an SRE capability in a pragmatic way. Non-Negotiables • Site Reliability Engineering in production environments, • Azure cloud environments in enterprise-scale businesses, • SLO / SLI / error budget design and implementation, • Observability tooling (Prometheus, Grafana, OpenTelemetry or similar), • Incident leadership across Sev1 / Sev2 environments, • Disaster recovery, resilience testing, RTO / RPO, • Terraform infrastructure as code, • CI/CD pipelines and engineering enablement, • Strong scripting with PowerShell, Bash or Python, • Experience improving reliability in hybrid estates (cloud + IaaS) What You’ll Work With • Azure platform engineering, • Azure Container Apps / cloud-native services, • Terraform infrastructure as code, • Prometheus monitoring, • Grafana dashboards, • OpenTelemetry tracing, • Azure DevOps pipelines, • GitHub Actions CI/CD, • Windows Server and Linux estates, • Service Bus, Event Hubs and Kafka, • Incident management, runbooks, failover and resilience testing Nice to Haves • Financial services or regulated environment experience, • FCA / PRA operational resilience exposure, • Payments or FX platform experience, • Chaos engineering, • FinOps or cloud cost awareness Why Join / Projects • Establish the SRE capability from the ground up, • Define and implement SLIs, SLOs and error budgets, • Improve observability across platforms and services, • Lead incident response and post-incident improvements, • Drive resilience, failover and automation initiatives Employee Benefits • Pension, • Private healthcare, • Training and certification support Senior SRE Engineer | Azure, Observability & Reliability Engineering | Platform Transformation in Financial Services

Principal Embedded Engineer About the Role An exciting start-up disrupting the consumer hardware industry is building a new category of AI-native devices. Firmware sits at the core of their products, and they are looking for a Principal Embedded Engineer to help build the embedded platform that will power every device they create. In this role, you will work at the very beginning of the product development lifecycle - from early breadboard prototypes through to globally shipped consumer products. You'll help enable rapid hardware experimentation while architecting production-grade firmware designed to scale. They value engineers who enjoy building things, experimenting with side projects, and who have a strong instinct for great product experiences. Responsibilities • Own the Firmware Platform - Architect and implement the core firmware layer underpinning every device, balancing flexibility for rapid prototyping with long-term production reliability., • Lead Prototype Bring-Up - Stabilise early hardware prototypes and develop firmware that enables fast iteration across sensing, interaction and connectivity., • Ship Connected Consumer Devices - Develop secure provisioning, Wi-Fi/BLE connectivity, encrypted cloud communication and device management capabilities for globally deployed products., • Integrate Multi-Modal Sensing - Build robust pipelines for microphones (I2S audio), gesture or proximity sensors and camera modules, managing acquisition, buffering, latency and power constraints., • Design for Scale & Longevity - Implement OTA update systems, rollback strategies, version control and diagnostics to support large fleets of devices in the field., • Bridge Hardware & Software - Collaborate closely with hardware engineers, designers and backend teams to ensure firmware supports the intended product experience., • Set the Embedded Standard - Define firmware architecture, tooling, CI workflows, testing practices and documentation that future embedded engineers can build upon. What They’re Looking For • Production Firmware Experience (ESP32 / RTOS) - Strong experience developing production firmware in C/C++ on ESP32-class microcontrollers using ESP-IDF or similar environments., • Connected Consumer Hardware - Experience shipping connected hardware products into real consumer environments, with knowledge of provisioning, security, OTA updates and post-launch support., • End-to-End Lifecycle Ownership - Comfortable working across the full product lifecycle - from early prototyping through certification, manufacturing and long-term maintenance., • Sensor & Audio Integration - Experience integrating microphones, cameras and other sensors, including driver development and real-world performance tuning., • Hardware Debugging Skills - Confident reading schematics, debugging hardware with oscilloscopes or logic analysers and diagnosing cross-layer issues., • Systems Thinking - Ability to design firmware with a holistic view - managing memory, latency, concurrency, power consumption and failure scenarios., • AI-Augmented Development - Experience using AI-assisted development tools as part of the engineering workflow and an interest in building developer-friendly platforms., • Collaborative Approach - Comfortable working cross-functionally with engineers, designers and product teams to translate product ideas into working hardware., • Curious Builder - Enjoys tinkering, building side projects and exploring new technologies. Benefits • £60,000 - £80,000 depending on experience, • 30 days annual leave including public holidays, • Pension scheme, • Cycle to Work scheme and season ticket loans, • Hybrid working (in-office culture with flexibility & wfh Fridays), • Supportive and collaborative team environment

💼 𝐑𝐨𝐥𝐞 - Founding Infrastructure Engineer 📌 𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧 - London, 2 days per week 💸 𝐒𝐚𝐥𝐚𝐫𝐲 - up to £160K plus equity 🏢 𝐃𝐨𝐦𝐚𝐢𝐧 - Developer Tooling 🛠️ 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤 - Terraform | Helm | GCP | ArgoCD | Jenkins | Vertex AI We're building Enterprise Superintelligence: compounding systems that take ownership of business outcomes and work with humans to deliver them. We're a team of 20 with experience from companies like; Google DeepMind, Spotify, Sourcegraph & Meta. What We Are Looking For • MLOps & DevOps Tooling: Proven track record of working with systems such as ArgoCD, Kargo, Jenkins, Vertex AI, SageMaker, and similar platforms., • ML Infrastructure Experience: Proven track record of working on ML research and production infrastructure., • Infrastructure as Code: Knowledge of IaC tools such as Terraform and Helm., • Cloud Expertise: Excellent familiarity with at least one of the hyperscaler clouds (GCP, AWS, Azure), and familiarity with the others. We're also hiring across other roles too - 𝐅𝐨𝐮𝐧𝐝𝐢𝐧𝐠 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐅𝐨𝐮𝐧𝐝𝐢𝐧𝐠 𝐀𝐩𝐩𝐥𝐢𝐞𝐝 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭

Senior ML/MLOps Engineer (MLflow) | Databricks | Azure) About Optima Partners We’re an advanced data & business consultancy helping major consumer brands transform through data-driven customer strategy, design, and engineering. Our clients include leading UK and global brands across financial services, retail, and more. Join a practitioner-led, fast-growing team delivering ML systems that actually make it into production. We’re growing our engineering team and looking for an MLOps Engineer who loves building real, production grade ML systems not just proof‑of‑concepts. If you enjoy working across the full ML lifecycle and have strong MLflow experience, this role is built for you. What You’ll Do • Own end-to-end ML model lifecycles from training to deployment to monitoring, • Productionise models built in PyTorch, TensorFlow, or Scikit‑learn, • Use MLflow for experiment tracking, model versioning, deployment, and release workflows, • Build scalable data & ML pipelines in Databricks (Delta, DLT, Jobs), • Design and maintain Azure data architectures (Data Lake, Synapse, SQL DW), • Create robust CI/CD pipelines for ML + data using Azure DevOps, Git, Jenkins, • Automate infrastructure with Terraform / ARM / Ansible, • Work closely with engineering teams to deliver real-world ML systems across multiple sectors. Tech Stack You’ll Work With • Python, SQL, PySpark, • PyTorch, TensorFlow, Scikit‑learn, • MLflow (core focus), Databricks, Azure, • IaC: Terraform, ARM, Ansible, • Git, Azure DevOps, Jenkins What We’re Looking For ✔️ 3+ years in ML Engineering, MLOps, or Data Engineering ✔️ Hands-on experience productionising ML models ✔️ Strong MLflow + Databricks experience ✔️ Consulting experience is a plus ✔️ Comfortable working in Agile environments Join us to build production‑ready ML systems that make a real impact working with modern tooling, great people, and the freedom, support, and rewards to grow your career fast. What We Offer • Competitive base salary, • 15% discretionary company bonus, • Up to 37 days’ holiday, • Private medical insurance, • Group life assurance & income protection, • Salary sacrifice pension scheme

Brickendon Consulting is an award-winning global management and technology consultancy specializing in innovative solutions and transforming complex, highly regulated environments. Founded in 2010, Brickendon has a strong focus on financial services and the public sector, helping organizations navigate and implement significant changes. We have delivered projects for some of the world’s largest firms in financial services, governments, and leading fintechs and startups, including JP Morgan, HSBC, Deutsche Bank and Rolls Royce. We are currently seeking a Integration Architect for one of our clients. ✅Work location: London ✅Work setting: hybrid Key Responsibilities • Produce integration specifications (D11) for each source system, defining connectivity patterns, extraction methods, and data transfer protocols., • Design the DSFS integration architecture (D06b), including Salesforce API usage, AWS RDS connectivity, and MongoDB extraction patterns., • Define CDC configurations for near real-time data feeds, specifying change tracking mechanisms., • Specify Talend job designs for on-premises Oracle source extraction and cloud-native ELT patterns., • Coordinate with the DSFS Integration Specialist on platform-specific technical details. Knowledge and Experience • Minimum 5 years in data integration architecture, covering both batch and real-time patterns., • Experience with Salesforce integration: APIs (REST, Bulk, Streaming), platform events, and data replication patterns., • Knowledge of CDC mechanisms: database log-based CDC, trigger-based CDC, and timestamp-based extraction., • Experience with Talend or equivalent ETL tooling for on-premises source extraction., • Familiarity with MongoDB data extraction and transformation patterns., • Experience designing integration architectures for multi-source estates of 10+ systems., • Experience within the loans or financial services domain., • Familiarity with Oracle database integration patterns (relevant to CLASS and legacy systems)., • Knowledge of AWS integration services: Glue, DMS (Database Migration Service), or Step Functions

Mechanical Design Engineer (CAD Tooling) – Greenwich – circa £40 to £50.00 per hour DOE (Umbrella) – Long Term Contract Job Description: Our client is seeking an experienced Mechanical Design Engineer to play a key role in the industrialisation and introduction of cutting-edge submerged products into production. This long-term contract offers the opportunity to lead on defining, designing and validating complex tooling and equipment solutions, ensuring efficient assembly processes that deliver exceptional quality and reliability. Key Responsibilities: • Lead collaboration with Supply Chain and R&D teams to support the industrialisation of new products., • Define, design and optimise tooling and equipment, including jigs, lifting fixtures and workstations, for efficient assembly and testing., • Recommend and implement alternative tooling solutions to improve efficiency, safety and reliability., • Use Creo CAD to develop and model advanced tooling concepts., • Present tooling solutions and influence key stakeholders., • Identify and source external equipment to strengthen production capabilities., • Manage relationships with tooling manufacturers to ensure delivery, compliance and quality standards are met., • Inspect and validate new tooling against specification, calibration and inspection requirements., • Oversee tooling validation and qualification model builds. Requirements: • Degree (or equivalent) in Mechanical/Manufacturing Engineering., • Proven track record in designing tools, fixtures and equipment for complex assembly/manufacturing environments., • Proficiency in Creo CAD preferred., • Strong ability to apply reliability engineering judgement., • Experience with FEA (Ansys) for stress/simulation analysis., • Significant experience in technical/manufacturing environments, ideally within high-reliability sectors., • Excellent interpersonal, communication and leadership skills. How to apply: To apply for this excellent opportunity, please send your CV via Linkedin

B2B SaaS | Fully Remote | UK Location: London Type: Full-time Role Overview Accessible rail travel depends on systems that work reliably in live environments. Our Passenger Assistance platform turns passenger assistance requests into coordinated action inside live rail operations. We’re hiring a Senior Front-End Engineer to own and scale the front-end layer of a platform used daily in live rail operations. Strategic Context Transreport exists to remove structural barriers in rail travel. Our vision is that everyone has access to travel everywhere. We operate across the UK, Japan, and the EU and have supported over 10 million assistance requests for more than 1 million users. We are a Series A company recognised with a King’s Award. As our platform grows in complexity, this role ensures that usability, stability, and engineering quality scale with it in a live rail environment where failures directly impact real journeys. Outcomes & Impact Within 6 months, you will: • Own and deliver complex features end-to-end within one active product stream., • Confidently drive cases from refinement through to release with minimal supervision., • Improve accessibility, maintainability, and test coverage across your area., • Act as a trusted delivery partner for Product and QA., • Strengthen code review standards and engineering consistency. Within 12 months, you will: • Confidently contribute to UK and Global teams based on priority., • Lead incident response efforts when front-end issues affect production., • Influence front-end architectural decisions., • Raise the overall quality bar across our Vue/Nuxt ecosystem. Responsibilities • Own & Deliver: Take full ownership of features from discovery through production release, ensuring high-quality and timely delivery., • Drive Cases & Process: Independently drive development work, manage ambiguity, and proactively remove blockers without requiring day-to-day direction., • Accessibility & Standards: Champion accessibility best practices and ensure implementation aligns with inclusive design principles., • Technical Leadership: Conduct code reviews, guide architectural decisions, and raise engineering standards across the front-end codebase., • Incident Response: Lead investigations and resolution efforts during critical production incidents, ensuring fast and structured recovery., • Collaboration: Work closely with Product, Design, QA, and backend engineers to refine requirements and ensure clarity before development begins., • Continuous Improvement: Contribute to better tooling, documentation (e.g., C4 model), CI/CD improvements, and development processes. The Tech Environment: • Framework: Nuxt 3 (Vue 3 with SSR), Nuxt Auth, Nuxt i18n, • Build & Runtime: Vite, Nitro, • State Management: Pinia, • Testing: Vitest, Vue Test Utils, • Styling: TailwindCSS, • Code Quality: ESLint, Prettier, • Tooling: Mocks Server, Date FNS, Lokalise You are not expected to know every tool on day one, but you should be comfortable mastering complex front-end ecosystems and guiding others in best practices and troubleshooting. Requirements Must Haves • 5+ years of experience in front-end development with modern JavaScript frameworks (Vue.js, React, Angular, etc.)., • Strong expertise in Vue.js and modern front-end architecture., • Proven experience owning and delivering complex features end-to-end., • Strong knowledge of HTML, CSS, and TypeScript/JavaScript., • Experience with state management (Pinia, Vuex, Redux, etc.)., • Experience working within established codebases and improving them., • Comfortable working with minimal supervision in high-autonomy environments., • Experience in Agile development environments., • Familiarity with CI/CD and modern practices such as TDD., • Ability to prioritise effectively and manage multiple initiatives., • Strong written and verbal communication skills in English., • Comfortable working within a remote team. Nice to Haves: • Experience implementing designs from Figma/AdobeXD/Sketch with high fidelity., • Experience working on accessibility-focused or public-facing products., • Exposure to Ruby on Rails environments., • Experience with Docker, Kubernetes, or cloud-native systems., • Experience working with external product owners or regulated industries., • Contributions to open-source JavaScript projects or technical blogging. Benefits • Private healthcare after your probation (including children), • Free flu jab for you and your family, • 25 days holiday, • Volunteering Leave, • Cycle and Tech Scheme Culture & Operating Principles We value: • Ownership over hierarchy, • Clarity over bureaucracy, • Impact over job titles We operate with high autonomy and high accountability. People are expected to raise risks early, communicate clearly, and take responsibility for outcomes. Interview Roadmap • Screening Call (30 mins) – Recruiter alignment, • Technical Exercise – Front-end architecture & delivery approach, • Deep Dive Interview – Engineering & Product, • Final Culture Conversation – Leadership alignment Guaranteed Interview Scheme We’re a Disability Confident employer and we welcome applications from disabled candidates. If you need any adjustments at any stage of the recruitment process, please tell us what would help - we’ll work with you to make the process as accessible as possible. We also offer a Guaranteed Interview Scheme (GIS) for candidates who consider themselves to have a disability as defined under the Equality Act 2010. If you indicate this option in your application and your application demonstrates that you meet the essential criteria for the role, you’ll be invited to interview or assessment. Choosing GIS doesn’t guarantee a job offer. If you have any questions, please get in touch.

⌛ Type: Full-time 📍 Location: Hybrid, London UK (Min 2 days a week in Chancery Lane office) 💰 Compensation: Competitive salary 25 days annual holiday About Rainforest Builder Rainforest Builder is Africa’s leading forest restoration company, on a mission to restore one million hectares of degraded land to natural tropical forest. By combining world-leading science, forestry, and tech, we are able to deliver high-quality forest restoration at unprecedented scales. Our projects work to remove hundreds of millions of tonnes of CO2 from the atmosphere, reverse declining biodiversity trends, and deliver equitable economic growth to rural communities. We currently operate four projects across three countries in West Africa, and are continuing to expand to new areas within the region. To unlock restoration at scale, we are working to build best-in-class software enables highly-distributed operations, manages data flows through the business, and, ultimately, delivers high-integrity data into the hands of stakeholders and other third parties. Role Overview As a Senior Product Engineer at Rainforest Builder, you will take full responsibility for an operational domain within our organisation. You’ll be the one clarifying the problem, finding the solutions, and executing the delivery. Pre-LLMs, this would have been Team Lead, but the way we work is shifting. It’s now possible for high-skill, high-agency individuals using the latest tooling to perform the work a team used to do. We want to strip back the process that slows down dev teams, and give great people an objective and let them execute. This means we need people who are excited at the prospect of owning both product and technical implementation, and working with high agency to deliver. You will have the support of key business stakeholders, but will be expected to build relationships within the business in order to understand the problem you are solving. The ideal candidate will have both a strong technical foundation and a product mindset, and the ability to solve an issue across the full technical stack. The ideal candidate will be highly motivated and looking for real-world impact: building software to enable projects that restore biodiversity, deliver equitable economic growth to rural communities, and remove greenhouse gas at scale. Key Responsibilities • Take full ownership of a domain space and build solutions into our tech platform, • Collaborate closely with Business owners, employees and staff in the field to establish solutions to problems within your domain area., • Collaborate with team members on system architecture and technical direction., • Manage end to end delivery of software, simplifying complex problems and creating elegant solutions Essential Experience • 5+ years of hands-on experience designing, building and scaling full-stack applications, ideally within startups, • Strong product mindset — focused on outcomes and user impact., • Excellent communication skills across technical and non-technical audiences., • Comfortable working in fast-moving, ambiguous startup environments., • Strong command of AI tools, AI assisted coding, not vibe coding Why join us? • Be part of a mission-driven startup tackling one of the planet’s most urgent challenges., • Build software with tangible, real-world environmental and social impact., • Work with a high level of autonomy, • Work with a collaborative, ambitious team scaling forest restoration across West Africa. Sound exciting? To apply, email your CV and covering letter to . Applications are not accepted via LinkedIn. Short-listed candidates will be contacted.

Full Stack Developer (Python + Next.js) Full Time | On-site London, UK or Luxembourg Overview A fast-growing European technology company working at the intersection of AI and drug discovery is looking for a Full Stack Developer to join their engineering team. The organisation is building next-generation software platforms that enable pharmaceutical and biotechnology companies to run large-scale in-silico biological experiments, dramatically accelerating research that traditionally relies on physical wet labs. This is an opportunity to work within a high-calibre, founder-led team developing tools that combine machine learning, data infrastructure, and modern web technologies to transform how biological research is conducted. You’ll play a key role in building scalable applications used by scientists and engineers working on cutting-edge drug discovery programmes. The Role You will contribute to the development of a full-stack platform that enables scientists to run and analyse complex biological simulations and experiments. Responsibilities include: • Building and maintaining backend services in Python, including APIs and data-processing pipelines, • Developing frontend applications using Next.js and React, • Designing and implementing FastAPI endpoints for data-intensive application, • Writing robust tests using pytest and managing CI workflows via GitHub Actions, • Collaborating with engineers and researchers to deliver features end-to-end, • Writing clean, maintainable and well-tested production code, • Contributing to architecture and infrastructure decisions as the platform scales Requirements • 2+ years professional experience as a software developer, • Strong proficiency in Python for backend development, • Experience building APIs and production services, • Experience developing modern frontend applications using Next.js and React, • Solid understanding of REST APIs and client–server architecture, • Experience with testing frameworks (pytest) and CI/CD pipelines, • Familiarity with TypeScript, CSS frameworks and component-based UI design, • Experience with Git and collaborative development workflows, • Ability to work in a fast-paced environment and take ownership of features Nice to Have Development & Infrastructure • Experience with Docker and containerised deployments, • Familiarity with AWS services (S3, EC2, ECR, Cognito), • Experience working with JupyterHub, JupyterLab or Airflow APIs, • Experience building developer platforms or internal tooling, • Knowledge of SQL and/or NoSQL databases AI / Machine Learning • Exposure to ML/AI workflows or data science tooling, • Experience with MLflow or model tracking systems Scientific / Data Applications • Experience working with scientific or bioinformatics datasets, • Exposure to single-cell RNA-seq, DNA/RNA sequences, AnnData or other omics data

Travel & Aviation Technology – C++ / Angular – Flight Management Systems London | Hybrid (50% in office) A global leader in travel and aviation technology is seeking a C++ Developer (Backend‑Focused) to join their Flight Management System (FMS) engineering team. This team builds mission‑critical software used by airlines worldwide - powering real‑time flight operations, route optimisation, and next‑generation cockpit intelligence. In this role, you’ll work primarily on high‑performance C++ systems (80%), with additional exposure to Angular frontend development (20%), contributing to one of the most advanced FMS platforms in the industry. Your work will directly impact global aviation efficiency, fuel optimisation, and operational decision‑making. Responsibilities • Design and develop C++ applications for core Flight Management System components, • Build high‑performance, multi‑threaded backend services that support real‑time flight planning and air traffic control integration, • Implement and optimise algorithms for fuel‑efficiency, route calculations, and aircraft performance modelling, • Develop Angular UI components for operational tooling, visualisation and configuration layers, • Collaborate with architects, engineers and aviation domain specialists to enhance FMS capabilities, • Conduct code reviews, debugging, unit testing and performance optimisation across backend and UI layers, • Contribute to cloud‑enabled and AI‑driven advancements within the FMS technology ecosystem, • Ensure compliance with aviation industry standards including DO‑178 and ARINC Required Skills • Strong proficiency in C++ (C++11/14/17), with experience building high‑performance, real‑time or multithreaded systems, • Experience with Angular for modern, responsive UI development (20% of the role), • Solid understanding of the software development lifecycle and engineering best practices, • Strong experience developing in Linux‑based environments, • Excellent debugging, analytical and problem‑solving skills, • Passion for aviation technology and complex distributed systems, • Understanding of networking protocols or large‑scale distributed architectures is a plus

AI Engineer [Analyst] – Early Career Role About the Job As an early‑career AI Engineer at Cerberus, you’ll join a small, high‑impact team building AI systems that power decision‑making across a global investment platform. You’ll work alongside experienced AI engineers, data scientists, and technologists to deliver real products used by investment teams and portfolio companies. This role is ideal for: • PhD graduates in a STEM field with applied ML, optimization, or computational experience; or What You’ll Do Build and deliver ML systems Work with senior engineers to design, train, and deploy machine learning models and data-driven tools that support investment and operational decision-making. Contribute to real production deployments Help integrate ML models into business workflows, build data pipelines, and support the rollout of AI applications across teams. Experiment and iterate Prototype ideas, test assumptions, and rapidly evolve solutions based on real user feedback and real-world constraints. Learn modern tooling and practices Gain hands-on experience with ML frameworks, cloud infrastructure, MLOps tools, and best practices for building scalable AI systems. Communicate clearly Translate technical findings into clear, structured insights for collaborators across technical and business teams. Grow as an AI engineer Develop skills across the full ML lifecycle—data processing, modelling, evaluation, deployment, and ongoing improvement. Sample Projects You Might Work On GenAI for due diligence Support the configuration, extension, and rollout of our in-house GenAI platform across investment teams. Work with senior engineers to customise workflows, analyse model outputs, and drive adoption. Automated Deal Sourcing Tools Help build prototypes that extract signals from datasets and integrate with APIs to enrich leads. Support the creation of modular ML-driven components that can be used across investment strategies. (Both examples are reframed so junior team members contribute meaningfully but are not expected to independently lead full workstreams.) Your Experience We don’t expect candidates to have experience across all areas—what matters most is strong technical fundamentals, curiosity, and a willingness to learn quickly. Foundational skills • Degree in a STEM field., • PhD candidates: applied research involving ML, optimisation, simulation, statistics, numerical methods, NLP, or related areas., • Experience writing clean, maintainable Python code., • Applied AI experience such as exposure to LLM APIs (OpenAI, Azure OpenAI, Anthropic, etc.) and experience with small personal or internship projects building agents or AI-driven workflows., • Comfortable working with data, performing analysis, and writing SQL queries., • Familiarity with tools like MLflow, Weights & Biases, or cloud platforms (Azure, AWS, or GCP)., • Strong problem-solving skills, • Curiosity and eagerness to learn, • Pragmatic, impact-driven approach, • Ability to work collaboratively in a fast-paced environment About Us We are a growing team of AI specialists—data scientists, ML engineers, software engineers, and technology strategists—working to transform how a global investment firm with $65B+ in assets uses data and AI. We operate like a startup within the firm: fast, collaborative, and focused on delivering real value. Our work spans investment desks, portfolio companies, and core operations, giving early-career engineers wide exposure and the opportunity to grow rapidly.

Senior Product/Frontend Software Engineering Position Summary • Total comp: £175k-£200k (inc. 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 and 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 frontend, • 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 production-grade web apps, with a focus on frontend, • Strong proficiency in React and TypeScript, with solid knowledge of modern frontend architecture, performance, and maintainability., • Deep understanding of UI engineering principles, state management, component design, and scalable frontend systems., • Pragmatic and product-driven — you balance speed, experimentation, and long-term code quality., • Comfortable working with cloud-based platforms and collaborating closely with backend services and APIs., • Bonus: Familiarity with Python or an interest in contributing beyond the frontend when needed. Benefits‍ • Competitive salary + equity, • Bi-annual offsite, • Regular team dinners + socials, • Choice of laptop, • Access to latest and greatest AI tooling

Senior Core Developer (GUI) London | Hybrid | Trading Technology A leading digital asset trading firm is looking for a Senior Core Developer to join its London team, with a focus on building and improving trading GUIs used directly by traders. This is a hands-on role in a small, high-impact team, working closely with traders and engineers across the business. What you’ll be doing: • Build and enhance trading GUIs used for day-to-day trading activity, • Work closely with traders to improve usability and performance, • Develop systems to capture and visualise trading data across multiple exchanges, • Contribute to real-time reconciliation, reporting, and internal tooling, • Help build out systems used by quants for data and ML workflows What we’re looking for: • Strong Python experience (Python 3), • Experience building desktop GUI applications (Qt preferred), • Solid SQL/database knowledge, • Comfortable working in Linux environments, • Interest in trading, crypto, or financial systems Why join: • Work directly with traders on tools they rely on every day, • High ownership and fast feedback in a small team, • Exposure to both trading systems and data/ML infrastructure, • Strong compensation and a collaborative, non-hierarchical culture If you’re interested in building real-world trading tools in a fast-moving environment, feel free to apply or reach out.

Service Asset & Configuration Management SME Canary Wharf, UK Hybrid (2 days a week) Inside IR35 Role Overview We are seeking an experienced Service Asset & Configuration Management SME with strong hands-on expertise in defining Configuration Management and IT Asset Management processes. Experience in data governance and ensuring CMDB data issues are reported and assigned to the data owners for remediation. A strong knowledge of ServiceNow and understanding the key components of the CMDB and the features to help keep data accurate. Key Responsibilities • Strategy & Policy: Input into the SACM strategy across the organization, ensuring alignment to business objectives. Implementation of the strategy and definition of SACM policies., • Process & Procedures: Define and maintain SACM processes and procedures across the organization with clear roles and responsibilities, covering the whole life cycle of assets and configuration items., • Data Governance: Ensure the key components of data governance are in place including data quality, data rules, lifecycle management, auditing and reporting., • Reporting & Metrics: Create, analyze, & verify CMDB reporting to ensure the CMDB is accurate, to enable key stakeholders to make data driven decisions across the business., • Automation & Continuous Improvement: Proactively look to improve all aspects of the CMDB including processes, tooling and data accuracy. Ensuring the business can trust the data and use it as the single source of truth., • Strong hands-on experience defining Configuration Management & IT Asset Management policies, processes and procedures, • Strong understanding of ServiceNow CSDM, CMDB components and associated data models, • Experience in creating, executing and analyzing CMDB related reporting, • ITIL 4 Foundation, • Strong analytical and problem-solving skills., • Excellent communication and stakeholder management abilities., • Ability to work independently and in a collaborative team environment.

Salesforce Lead Developer Contract East London (Hybrid) Rate: Negotiable DOE We are seeking a hands-on Salesforce Technical Lead / Lead Developer to provide day-to-day technical leadership within a scrum team delivering enhancements to a Salesforce platform used by both internal and external users. This role combines senior-level development capability with technical governance, code quality ownership, and delivery leadership. The successful candidate will lead by example, actively designing, building, reviewing, and deploying Salesforce solutions while ensuring alignment with development standards and best practices. Key Responsibilities Technical Leadership & Delivery • Act as the technical lead within a scrum team delivering Salesforce configuration and custom development, • Lead solution design for stories and epics, ensuring scalability, security, and compliance, • Remain hands-on across Apex, Lightning Web Components, configuration, and integrations, • Conduct Proofs of Concept (POCs) to validate technical approaches Code Quality & Standards • Own code quality across the team, ensuring adherence to best practices and development standards, • Review Apex, LWC, and configuration through structured peer reviews, • Ensure test coverage, execution, and meaningful test scenarios, • Maintain adherence to Definition of Done (DoD), including documentation and peer review DevOps, Release & Governance • Support deployments using agreed DevOps tooling (e.g. Copado, codescan.io), • Contribute to release readiness and implementation planning, • Participate in governance forums (e.g. Release Readiness, Handover), • Ensure data model changes are approved, documented, and traceable Agile & Team Responsibilities • Participate actively in scrum ceremonies, • Provide input into planning and challenge estimates constructively, • Ensure Definition of Ready (DoR) is met, • Maintain visibility of risks, impediments, and improvement actions Skills & Experience • Strong Salesforce technical leadership experience in enterprise environments, • Extensive hands-on experience with Apex, Lightning Web Components (LWC) / Aura, Salesforce configuration and data modelling., • Strong understanding of:, • Salesforce architecture, • Service Cloud, • Experience Cloud, • Salesforce Classic (where applicable), • Agentforce Public Services / Omnistudio, • Knowledge of DevOps and CI/CD in Salesforce environments, • Strong communication and documentation skills, • Ability to collaborate with cross-functional stakeholders, • Secure-by-design mindset Nice to Have • Experience in regulated environments (financial services or government), • Additional Salesforce certifications, • Experience with data model remediation or complex refactoring

Automation Engineer London, UK On-site (with flexibility for hybrid working) We’re partnered with an early-stage platform biotech startup emerging from stealth, backed by leading venture capital investors. The company is building AI-driven “self-driving laboratories” designed to transform how drug products are developed. Their platform combines robotics, automation, and machine learning to explore vast formulation spaces, automatically design and run experiments, and continuously learn from the results. By replacing traditional trial-and-error experimentation with high-throughput automated workflows, they aim to reduce formulation development timelines from months to days while unlocking medicines that were previously too complex to develop. Operating at the intersection of biotech, robotics, and AI, the team is building the next generation of laboratory infrastructure to accelerate pharmaceutical innovation. You will be the person who makes the self-driving lab actually run. That means integrating robots, analytical instruments, and software into reliable, end-to-end workflows, and working closely with scientists to translate their methods into automation that holds up at scale. Responsibilities • Pioneer the next generation of robotic platforms for drug formulation., • Design, implement, and scale automated liquid-handling and sample-processing workflows., • Design and automate fully closed loop robotic systems which can be remotely operated, • Integrate instruments and robotics via APIs, SDKs, and communication protocols; own instrument driver development and maintenance., • Build scheduling and orchestration layers for multi-instrument workflows, handling error recovery, retries, resource contention, parallelism, and state management., • Develop robust interfacing layers and simulation environments to accelerate development and reduce deployment risk., • Work with scientists to translate lab methods into automation-friendly procedures; work with Data/ML to stream rich telemetry and results downstream. Requirements • Advanced degree (PhD) or MSc with equivalent industry experience., • Proven experience automating laboratory workflows with liquid handlers, collaborative robotic arms and common analytics instruments (plate readers, HPLC/UPLC, balances, imagers)., • Strong software skills in Python, with comfort using modern tooling: git, containers, and testing frameworks., • Experience with lab automation schedulers (e.g., PyLabRobot, Opentrons Protocol API, or similar) and instrument SDKs., • Background in building simulation environments to de-risk hardware integrations before deployment., • Systems-minded: you think about reliability, failure modes, and observability from day one, not as an afterthought. Desirable • Experience with fabrication and prototyping, including 3D printing custom parts to adapt or extend lab equipment., • Familiarity with data engineering or ML pipelines, particularly for streaming structured experimental telemetry., • Experience in pharmaceutical, biotech, or regulated lab environments. Benefits • Competitive base salary alongside a meaningful equity package, giving you the opportunity to share in the company’s long-term success., • The chance to have real autonomy and impact within an early-stage startup, helping shape both the scientific direction and the development of the platform., • Direct exposure to founders and the C-suite, with the opportunity to influence strategy and decision-making as the company scales., • A beautiful, collaborative lab and working space in the heart of Central London, designed to bring scientists, engineers, and data teams together., • Hybrid flexibility, balancing hands-on lab work with the ability to work remotely where appropriate. Interested? Apply and we will be in touch!

PaymentGenes is proud to be partnering with a high-growth, international technology organisation to appoint a Senior / Lead Data Engineer (AI-Focused). This is a strategic hire for a business investing heavily in AI-enabled products and advanced analytics. If you are passionate about architecting modern data platforms that power real AI at scale — this opportunity is for you. This is more than a data engineering role! You will define and scale the organisation’s data platform to power advanced analytics, machine learning, and AI-driven products. Combining deep technical expertise with architectural leadership, you’ll shape long-term data strategy while remaining hands-on in building robust, production-grade systems. You will be accountable for platform reliability, scalability, governance, and AI enablement across the business. 🌐 What You’ll Do 🏗 Data Platform Architecture & Strategy • Define and evolve the data architecture roadmap, • Design scalable ELT/ETL frameworks using DBT and cloud data warehouses, • Establish orchestration standards (Dagster or equivalent), • Drive decisions across batch, streaming, and real-time pipelines, • Architect data foundations supporting the ML lifecycle, • Design feature stores, embedding pipelines, and AI-ready datasets, • Enable MLOps workflows (data versioning, monitoring, retraining triggers), • Support production inference (batch and real-time), • Set best practices for testing, documentation, lineage, and observability, • Lead code reviews and mentor data & analytics engineers, • Drive CI/CD and infrastructure-as-code adoption, • Own platform reliability, performance optimisation, and cost efficiency, • Partner with Data Science, Product, and Engineering leadership, • Translate business strategy into scalable data solutions, • Influence KPI and metric governance across teams, • Act as technical escalation point for complex data challenges 🛠 Technical Environment Core Expertise • Advanced SQL & Python, • Deep DBT experience (modelling, testing, macros, documentation), • Workflow orchestration (Dagster preferred), • Cloud data warehouses (Snowflake, BigQuery, Redshift, etc.), • Data modelling for analytics and AI use cases, • Feature engineering architecture, • ML pipeline and deployment workflows, • Experience supporting production ML systems, • Familiarity with embeddings, vector databases, LLM orchestration (desirable), • CI/CD for data workflows, • Git-based engineering standards, • Docker / containerisation, • Infrastructure-as-code (e.g., Terraform), • Monitoring and alerting systems 👤 What We’re Looking For • 6–10+ years in data engineering or related disciplines, • Proven experience architecting and scaling modern data platforms, • Experience enabling ML/AI production workflows, • Demonstrated technical leadership and mentoring, • Ability to influence senior stakeholders You’ll Thrive If You Have: • Architectural thinking with long-term vision, • Strong decision-making under ambiguity, • The ability to balance innovation with reliability, • Clear communication across technical and non-technical audiences, • A strong ownership mindset and accountability for outcomes 📈 What Success Looks Like • A scalable, reliable data platform powering AI and analytics growth, • Reduced ML time-to-production, • High levels of data quality, observability, and governance maturity, • Improved cost-performance efficiency across the data stack, • A strong, growing data engineering capability within the team This is a high-impact leadership role within a forward-thinking technology environment where AI and data are core to the business strategy. If this excites you, please reach out to the PaymentGenes team directly via LinkedIn, who can provide more detail and insight into this company's journey into AI and the opportunity.

We’re hiring a Founding Engineer to help us reimagine the future of hospitality. This is a high-impact, architect-level role where you will be the first engineering hire and design and build the core technical foundation of a new platform from the ground up. Expect a fast-moving environment, high ownership, and a lot of autonomy across architecture, infrastructure, integrations, and backend systems. Please send your CV to: ABOUT THE ROLE Your Impact • Architect and implement core systems: cloud infrastructure, backend services, APIs, and data pipelines, • Build secure, scalable, and reliable components ready for real-world operational environments, • Lead integrations with external systems and support early data onboarding, • Establish engineering standards, tooling, documentation, and technical processes from the start, • Set up observability, monitoring, and performance systems, • Jump in wherever needed, from quick scripts and data cleaning to debugging production issues What You Bring • 5+ years of engineering experience with strong architecture / complex backend systems experience, • Deep hands-on experience with AWS/Azure/GCP, distributed systems, and backend / full-stack development, • Strong foundation in system design, APIs, secure infrastructure, and data flows, • Proven ability to build products or platforms from 0 → 1, • Clear communication, strong judgment, and the ability to explain technical decisions, • Collaborative working style, high ownership, and the ability to execute independently in a fast-moving environment Skillset We Value • Proficiency in Python, Typescript, or similar modern languages, • Experience with backend frameworks (FastAPI, Django, Node.js, Rails, etc.), • Strong SQL, data modeling, and database design knowledge, • Familiarity with IaC, containers, CI/CD, and observability tools, • Bonus: experience in ETL, or hospitality / proptech / real-estate technology Why Join Us • We work together in the heart of London (4 days a week on-site), • Competitive compensation and meaningful ownership, • Private health insurance and additional benefits, • Visa sponsorship is provided to suitable candidates If this mission resonates with you, we’d love to hear from you — even if you don’t meet every requirement. Please send your CV to: OMNAM is a global real estate investment and development group known for creating large-scale, high-design hospitality and mixed-use projects. This role is separate and part of OMNAM Innovation Arm, giving you a unique blend of startup-style ownership with the stability, access, and ecosystem of an established international group.

Senior Software Engineer (Full Stack, TypeScript) £100k–£120k | London (Hybrid) I’m working with a high-growth consumer technology company building a platform used by thousands of customers across London every day. The business operates in the rapid-delivery / convenience commerce space, combining logistics, retail and technology into a vertically integrated product. After a period of aggressive international expansion, the company has consolidated around its core London market and is now entering a new growth phase with fresh funding and a long runway. Engineering plays a central role in the business. Teams operate with a startup mentality: high ownership, fast execution and minimal bureaucracy. Engineers work closely with product, marketing and leadership to ship features that directly impact customer experience and commercial performance. They’re now hiring a Senior Full Stack Engineer to help build the next generation of their consumer platform. Quick overview • Salary: £100k–£120k, • Location: London (hybrid, 3 days in office), • Stack: TypeScript, Node.js, React, • Team: Small, high ownership engineering team, • Product: High-traffic consumer platform used daily What you’ll be working on • Building and scaling consumer-facing product features, • Developing APIs and backend services that power the platform, • Improving internal tooling and shared design systems, • Supporting marketing and commercial tooling across the business, • Contributing to platform architecture and engineering standards, • Experimenting with AI-powered tooling and product features What they’re looking for • Strong TypeScript experience across backend and frontend, • Solid Node.js backend experience, • Experience building customer-facing products, • Comfortable operating in fast-moving startup or scale-up environments, • Engineers who actively use AI tooling in their development workflow The team moves quickly and keeps engineering groups intentionally small. Engineers own large parts of the system and work closely with product and leadership on what gets built. If you enjoy product ownership, moving fast, and working on systems that directly impact real customers, this is a very interesting opportunity. Drop me a message if you’d like to learn more.

Windows Platform Engineer with advanced PowerShell & IaC experience sought by a Elite and London-headquartered Alternative Investment Manager. Our client is highly innovative and technology-driven and is largely recognised as a Centre-of-Excellence for all things Microsoft. We have been mandated to identify a high-energy and proactive Windows Automation & Platform Engineer with expertise in PowerShell, a passion for Infrastructure-as-Code, and robust experience and skills with Microsoft Infrastructure Platforms. You will join a small but highly collaborative and logical team owning Wintel platforms and Automations across complex, multi-site environments, in a Project Lead Engineer capacity. You will work directly with highly sophisticated customers managing Billions of AUM via Systematic Strategies as well as partnering with Peer Technology teams. You will own Windows-based infrastructure and IaC projects from an idea, into architecture and design through implementation, testing, and operational handover. We require someone who enjoys working with users in order to build trust and confidence, with high energy and enthusiasm who enjoys learning and keeping very busy with highly varied and deeply technical engineering work, in a flat non-bureaucratic environment with state-of-the art platforms. Requirements • Deep expertise in Windows Server Administration (e.g. Active Directory, Group Policy, DNS, DHCP, file/print services)., • Automate everything: using PowerShell or your language of choice to eliminate toil and fix issues at the source. This should include PowerShell Tooling and Multi-Function Modules., • Apply Infrastructure as Code principles to deliver repeatable, version-controlled infrastructure., • Hands-on experience with virtualization technologies (e.g. VMware, Hyper-V, VDI) and cloud (e.g. Azure, AWS)., • Strong understanding of enterprise security and compliance requirements in modern Windows environments., • The ability to continuously assess and improve existing systems, designing scalable, secure solutions that stand the test of time., • Clear communicator who documents designs, implementation plans, and lessons learned., • Collaborative mindset - able to work seamlessly with engineers, vendors, and stakeholders to get things done., • Logical and demonstrable problem solver with fantastic communication skills (concise/to the point/honest/humble...)., • Experienced working in high performance, fast-paced, and demanding environments with a level of autonomy., • Finance / Trading experience is not a requirement, but applicants must have experience of directly supporting users in an advanced and mission-critical Windows Infrastructure environment. This is an outstanding opportunity for a talented, enthusiastic and deeply technical Wintel Engineer to take ownership of one of the most advanced Windows environments in London. Candidates must be able to work onsite in Central London four days per week, with standard working hours if 8am-6pm. In return, you will be able to build a long-term career in a highly innovative and modern business, with outstanding remuneration (base salary and annual bonus) and excellent benefits.

Lead Software Engineer - Java Have you got experience in setting technical vision, influencing system design, and guiding teams in delivering secure, scalable, and high-performing services? In this role, you will focus on technical leadership with mentoring others, driving engineering excellence, and ensuring the backend strategy aligns with business goals. Key Responsibilities • Define and evolve backend architecture to ensure scalability, maintainability, and reliability., • Establish and uphold coding standards and secure development practices., • Guide technology choices, frameworks, and tooling to enhance delivery performance., • Drive improvements to CI/CD pipelines and operational workflows., • Communicate technical risks and trade-offs clearly to non-technical stakeholders., • Contribute directly to core systems when specialist expertise is required., • Conduct code reviews and ensure architectural consistency across teams., • Provide oversight on major initiatives to guarantee technical soundness and delivery quality., • Coach and mentor engineers to strengthen the backend discipline across teams. Lead design sessions, code reviews, and collaborative technical discussions. Skills & Experience • Proven experience as a senior or lead backend engineer with Java (11+) and Spring Boot., • Expertise in designing and leading backend architectures for complex systems., • Strong understanding of AWS, Kubernetes, and modern microservice-based systems., • Experience with Kafka or similar event-driven technologies., • Familiarity with RESTful APIs, SQL/NoSQL databases, and CI/CD best practices., • Excellent mentoring and leadership skills with the ability to influence technical direction. Benefits include: • Hybrid & flexible working arrangements (1 day in the office), • Annual performance bonus, • 26 days of annual leave, • Regular team events and socials, • Life insurance and income protection, • Tech loan and dedicated training budget If you want to join a company that offers a dynamic, supportive environment where innovation and growth are encouraged. Apply now. Unfortunately, there is no sponsorship being offered for this position. Lead Software Engineer - Java

The pitch. It’s a serious engineering role with a great team – and meaningful responsibility. This is not a narrow “ticket-closing” developer job. You won’t be handed tightly scoped Jira tasks inside a heavily layered team structure. You won’t be maintaining a disposable MVP. And you won’t be managing people. Instead, you’ll be working on the core platform that underpins Outsmart’s crowdsourcing operations – a mature, revenue-generating system that has evolved over years and continues to scale. If you enjoy owning real systems, thinking architecturally, improving legacy code thoughtfully rather than rewriting it, and being trusted to deliver without heavy supervision, this role will feel unusually well-matched. The role As Senior Fullstack Software Engineer, you will help design, build and maintain the production systems that power Outsmart’s platform. You’ll work closely with our CTO, operating as a high-agency individual contributor with genuine ownership across backend systems, infrastructure and platform evolution. This is a role for someone who wants to: • Work on real, live systems with meaningful operational responsibility, • Make architectural decisions, not just implement them, • Improve and extend an existing platform with care and judgement, • Help shape the engineering foundations for the next stage of company growth You will be trusted to take product and operational requirements and translate them into robust, production-ready solutions. What you’ll be doing • Designing and maintaining backend services primarily in Python, • Developing and evolving well-structured RESTful APIs, • Designing and improving data models across relational (e.g. PostgreSQL) and NoSQL databases, • Working across the stack where needed, including JavaScript, modern HTML/CSS, and utility frameworks such as Tailwind, • Contributing to cloud-based infrastructure (e.g. Google Cloud), deployment pipelines and DevOps practices, • Debugging live production issues with a calm, root-cause mindset, • Incrementally improving system architecture using sound design principles (including modular design, DDD-style thinking, and pragmatic architectural patterns), • Reviewing code, raising standards constructively, and contributing to a disciplined engineering culture, • Leveraging modern tooling (including AI-assisted development) to improve quality and velocity This is not greenfield experimentation. It is thoughtful, high-quality engineering on systems that matter. The environment We are a small, intellectually serious company. That has advantages and responsibilities. You will: • Speak directly with senior decision-makers when needed, • Operate without perfect documentation, • Balance speed with long-term maintainability This role suits someone comfortable with autonomy, accountability and cross-functional collaboration. Who this role is for This role is designed for someone who is: • 8–15 years into their engineering career, • Has worked in a small company (c. 5–30 people) or similarly lean environment without heavy process, • Experienced in inheriting and improving mature systems, • Comfortable reading and navigating complex legacy code, • Strong in systems thinking (trade-offs, scalability, cost implications), • Backend-heavy, with strong Python expertise, • Operationally mature – you’ve supported production systems, not just built features You are likely: • Calm under pressure, • Direct but not ego-driven, • Curious and thoughtful rather than dogmatic, • Comfortable challenging ideas constructively If you primarily identify as a manager, a greenfield-only builder, or someone who prefers heavy structure and layered sign-off, this role is unlikely to be a good fit. Practicalities Schedule: Monday to Friday Weekends: No Location: UK-based Working style: Hybrid (remote and London office) Why Outsmart Insight? Outsmart Insight operates at the intersection of technology, intelligence and large-scale coordination. Our internal platform powers a global network and supports complex, high-trust client engagements. We are deliberately serious about quality, reliability and long-term thinking. As we grow, we are investing in strengthening our engineering foundations – building systems that are robust, scalable and thoughtfully designed. If you want to work somewhere where your engineering judgement genuinely matters, this is that opportunity. Our values • Smart minds, working together, • Quality delivered every time, • Strong client relationships built on trust, • Hard work, rewarded, • A happy, healthy team Apply Send a short cover letter and a two-page CV to , outlining why this role, and this type of engineering work, appeals to you. Please note: only applications sent directly to this email address will be considered.

Full-Time Mobile App Developer (.NET MAUI preferred) iOS & Android — Remote (South Asia) Location: Remote (India / Pakistan) Type: Full-time Tech focus: .NET MAUI (preferred) / Cross-platform Mobile ⚠️ Important upfront note This role requires strong mobile UI execution and design sensibility. To proceed, you must be able to share links to live apps on the Apple App Store (and/or Google Play) that demonstrate clean, minimal design and polished user experience. If you cannot provide shipped app links, please do not apply. About the role We’re hiring a full-time Mobile App Developer to build a design-led, consumer-facing mobile application for iOS and Android. The app is fully designed in Figma, with clear user flows, screen definitions, and supporting admin processes. Your role is to take these designs and deliver a production-ready, visually polished, and smooth-feeling mobile app, all the way through App Store and Play Store release. This is a hands-on role with real ownership over how the app looks, feels, and behaves. What you’ll be working on • A cross-platform mobile app (iOS + Android), • Translating Figma designs into pixel-accurate, production UI, • Ensuring slick interactions, smooth transitions, and responsive layouts, • User onboarding, application flows, and status tracking, • Admin-driven workflows and internal review tools, • Secure authentication and backend / API integrations, • App Store and Google Play deployment Tech expectations • .NET MAUI strongly preferred, • Proven experience implementing apps directly from Figma, • Strong mobile UI/UX implementation skills (spacing, typography, layout, interaction), • Experience with REST APIs, auth flows, and state management, • Comfortable delivering apps that feel fast, clean, and well-finished, • 👉 We’re comfortable with AI-assisted development tools (e.g. Copilot, Base44, etc.) where they improve speed and quality What we’re looking for • A clear eye for simple, minimal, effective design, • A track record of shipping real mobile apps, • Ability to turn good designs into great-feeling products, • Comfortable working from Figma, specs, and process diagrams, • Product-minded and detail-oriented, • Clean, maintainable code and sensible architecture choices, • Strong communication skills for remote collaboration Nice to have • End-to-end or lead ownership of a mobile app, • Backend experience (Azure, Firebase, Supabase, etc.), • Experience with CI/CD and store submission, • Prior experience working remotely across time zones Why join us? • Clear designs and requirements — minimal ambiguity, • High bar for quality, but realistic scope, • Ownership of the mobile build, • Remote-first team (South Asia), • Pragmatic, modern approach to tooling and AI, • Opportunity to ship a complete product end-to-end How to apply Apply via LinkedIn with: • A short summary of your mobile development experience, • Links to live apps you’ve shipped (App Store / Play Store), • GitHub (optional but welcome)

Senior Trading Data Engineer Location: London (Hybrid) Salary: Up to £140,000 base, plus bonus and benefits A leading global trading firm is expanding its front‑office data engineering function and is seeking an experienced Senior Trading Data Engineer to build and own real‑time data platforms for traders and quantitative teams. This is an opportunity to work at the heart of energy and financial markets, solving complex data problems that directly influence trading decisions and P&L. The role As a Senior Trading Data Engineer, you’ll sit close to the trading desks, designing and running the data pipelines, APIs and storage layers that power systematic strategies, intraday analytics and risk management. You’ll collaborate with traders, quants and data scientists to deliver high‑quality, low‑latency data into cloud‑native environments, with a strong focus on automation, reliability and self‑service. What you’ll be doing • Designing, building and maintaining Python‑based data pipelines for real‑time and batch ingestion from market data, internal systems and external APIs., • Developing and optimising data models and SQL queries on analytical/time‑series platforms such as Redshift, ClickHouse or similar cloud warehouses., • Implementing and operating containerised services (Docker/Kubernetes) and CI/CD workflows to reliably deploy data infrastructure to AWS., • Exposing high‑value data sets to traders, quants and data scientists via internal APIs, Python libraries and self‑service tools., • Monitoring data quality, latency and system health, and troubleshooting issues that impact front‑office users during trading hours., • Working closely with front‑office stakeholders to understand commercial priorities and translate them into robust technical solutions. What we’re looking for • Solid experience as a Senior Trading Data Engineer or similar role in a trading, hedge fund, investment bank or energy markets environment., • Strong Python skills for data engineering (pandas/Polars or equivalent) and production‑quality code., • Deep knowledge of SQL and experience with analytical or time‑series databases (e.g. Redshift, ClickHouse, Snowflake, BigQuery)., • Hands‑on experience with AWS (e.g. S3, Lambda, ECS/EKS, Redshift) and modern DevOps practices, including Docker and CI/CD., • Proven track record working with front‑office or desk‑aligned teams (traders, PMs, quants) and delivering data solutions for real‑time or intraday analytics., • Strong communication skills and commercial awareness, with the confidence to push back, prioritise and explain trade‑offs to non‑technical stakeholders. Nice to have • Background in commodities, energy trading, power/gas or renewables markets., • Experience with streaming and real‑time data (Kafka, Kinesis or similar)., • Familiarity with infrastructure‑as‑code (CloudFormation, CDK, Terraform) and observability tooling (Grafana, Prometheus, CloudWatch). What’s on offer • Competitive base salary up to £140,000, depending on experience., • Performance‑related bonus and comprehensive benefits package., • Hybrid working in London with regular, direct engagement with trading desks., • The chance to shape a modern, cloud‑native data platform in a high‑impact environment., • A culture that values pragmatic engineering, collaboration and sustainable work‑life balance over “heroics”. If you’re a Senior Trading Data Engineer looking to work closer to the desk, with real ownership over data platforms that traders actually use, make an application today and let see if this job is right for you!

Director of Data Engineering: AI & Data Platforms Location: London (Hybrid – 1–2 days per week onsite) Salary: Up to £140,000 + equity & benefits Reports to: CTO Overview of the Role This is a rare opportunity to shape and lead the evolution of a next-generation, AI-native data platform within a high-growth, well-funded scale-up. As Director of Data Engineering, you will operate at the intersection of strategy and execution partnering closely with the CTO to define the long-term architecture, build a high-performing team, and transition the organisation from a traditional data platform to an agentic, AI-driven ecosystem. You will inherit a capable team, but more importantly, you will define its future: how it scales, what it builds, and where it leverages external innovation. This role combines hands-on technical leadership (circa 50%) with team and organisational leadership (circa 50%), making it ideal for a builder-leader who thrives on both architecture and people. Key Responsibilities Strategic Leadership & Platform Vision • Partner with the CTO to define and execute the AI and data platform strategy, including critical build vs buy decisions, • Establish a clear approach to partner vs upskill, ensuring the team leverages external innovation while building core internal capability, • Shape the long-term vision for an agentic, AI-native data ecosystem AI-Driven Data Platform Development • Lead the design of a unified AI search layer, combining vector, keyword, and graph-based approaches (e.g. GraphRAG), • Architect and scale agent-based systems and human-in-the-loop workflows, • Oversee the development of a knowledge graph and data enrichment pipelines to unlock proprietary data value, • Drive AI/ML Ops maturity, including LLM deployment, RAG pipelines, and evaluation frameworks Engineering & Architecture • Define scalable, cloud-native architectures across GCP (preferred) and AWS, • Lead cross-cloud data orchestration, ensuring seamless data flow from ingestion to intelligence layers, • Guide technical decisions on tooling, frameworks, and platform evolution Team Leadership & Growth • Lead and develop a team of data and AI engineers, including senior and staff-level contributors, • Build a culture of engineering excellence, accountability, and continuous improvement, • Hire, mentor, and scale the team in line with business growth Delivery & Impact • Ensure engineering effort is focused on high-value, domain-specific problems, • Improve velocity through modern engineering practices and AI-assisted development, • Balance innovation with pragmatism, avoiding unnecessary reinvention while maintaining competitive advantage Key Requirements Leadership & Experience • Proven experience as a Director or Senior Engineering Manager leading data/platform teams, • Strong track record of scaling teams and mentoring engineers (typically 5+ years in leadership roles), • Comfortable operating in a hands-on leadership capacity Data Platform & Cloud Expertise • Experience building and scaling high-volume data platforms, • Strong knowledge of GCP (BigQuery preferred) and exposure to AWS, • Expertise in data pipelines, distributed processing, and Python-based data services AI & Emerging Technologies • Exposure to or strong interest in agentic systems, LLMs, and AI-driven architectures, • Experience with AI search (vector databases, hybrid search, GraphRAG) is highly desirable, • Familiarity with knowledge graphs, ontologies, or complex data modelling Strategic & Commercial Thinking • Experience making build vs buy and technology investment decisions, • Ability to evaluate and integrate third-party tools, platforms, and partnerships, • Strong alignment with business outcomes, not just technical delivery Additional Information • Working Pattern: Hybrid (1–2 days per week in London office), • Salary: Up to £140,000 + equity + benefits (private healthcare, pension), • Team Size: ~4–5 engineers currently, scaling further, • Career Progression: Clear path towards VP Engineering / CTO, • Environment:, • Stable, well-funded scale-up (not early-stage chaos), • Highly unique, proprietary datasets, • Strong investment in modern AI tooling and practices Interview Process (3 Stages) • Introductory conversation with senior leadership, • Technical/design interview (architecture-focused), • Final interview with executive stakeholders (in-person) This role is ideal for a senior engineering leader who wants to build, shape, and scale—not just maintain. If you’re motivated by cutting-edge AI, complex data challenges, and genuine strategic influence, this is an opportunity to make a lasting impact.

QA Lead | Remote-First | Up to £70k 🚀 One of the UK's most interesting engineering teams right now. B-Corp certified, 25+ year heritage, but genuinely modern tech. They ship multiple times a week and they're building a QA function from the ground up rather than inheriting someone else's mess. This isn't a hands-on testing role. It's a leadership position where you define the automation strategy, set the standards, and coach engineers across the business to own quality in their own teams. Think quality gates in GitHub Actions, a real mandate to explore AI-assisted testing, and a stack that's actually worth working on rather than being a buzzword on a slide. 🔧 The tooling you'll be working with: • Playwright (primary browser automation), • Maestro (mobile testing), • Postman (API testing and contract validation), • GitHub Actions (CI/CD pipelines and quality gates) 💻 The stack under test: • Python microservices with Kafka, • React / Next.js / TanStack Query (frontend), • AWS Lambda, S3, RDS/Aurora (infrastructure), • Terraform-managed environments So you'll need to be comfortable with the full picture, not just the UI layer. What they're actually looking for is someone who's led QA in a fast-moving product environment before, has strong Playwright experience (or equivalent), and knows how to instrument and report on quality metrics that engineering teams actually trust. A coaching mindset is essential; you're setting direction, not writing every test. 📍 Remote-first, two days a month in London 💰 Up to £70k DOE

About Nothing Nothing exists to make tech feel exciting again. We're building a different kind of technology company, one that puts design, emotion, and human creativity at the heart of everything we do. Founded in London in 2020 and backed by GV, EQT Ventures, and C Ventures, we're now sold in 40+ markets with millions of users worldwide. About the Team The AI & Services team is the studio within the machine — tasked with exploring the bleeding edge of human-computer interaction and prototyping the future of Nothing OS before scaling it to millions of users globally. We don't just improve existing things; we invent what's missing. This is a high-velocity environment where speed, craft, and creative ambition are non-negotiable. About the Role We're looking for an Engineering Manager to lead and grow the AI & Services engineering team. You've spent meaningful time as a software engineer — you know what good looks like at the code level — but today your craft is people, teams, and delivery. You'll be the person who clears the path for exceptional engineers to do their best work, while keeping us shipping fast and pointed in the right direction. This isn't a role for someone who wants to manage from a distance. You'll be close to the work, deeply engaged with the team, and a key voice in how we build our AI products and capabilities. What You'll Do • Lead, coach, and grow a team of full-stack and AI engineers, creating an environment where talented people can do the best work of their careers., • Own the team's delivery — setting a high bar for execution, removing blockers, and keeping a rapid shipping cadence without sacrificing quality., • Partner closely with Product and Design to translate ambitious ideas into clear, executable roadmaps, balancing exploratory prototyping with production-grade engineering., • Drive technical direction alongside your senior engineers — not by writing the code, but by shaping the decisions around architecture, tooling, and build-vs-buy., • Build and maintain engineering excellence: code quality standards, review practices, incident response, and the systems that let us scale what we prototype., • Represent the team across the organisation — communicating progress, surfacing trade-offs, and advocating for what the team needs to succeed. What We're Looking For • A strong engineering foundation. You've shipped production software — ideally full-stack, with experience in the kinds of technologies our team uses (React, Node.js/Python, cloud infrastructure). You can hold a technical conversation at depth and earn the respect of the engineers you lead., • Proven people leadership. You have experience managing engineers directly, supporting their growth, handling performance, and building team culture. You know that your output is your team's output., • Delivery ownership. You have a bias toward shipping. You know how to balance speed and rigour, and you hold the team to a high standard on both without becoming a bottleneck., • AI & product fluency. You understand the landscape — LLMs, agents, real-time systems — well enough to make smart prioritisation calls and guide technical direction, even if you're not the one implementing it day-to-day., • Design sensibility. You appreciate that at Nothing, how something feels is as important as how it works. You champion craft throughout the engineering process., • Comfort with ambiguity. Our best ideas often start as questions without answers. You help the team stay focused and productive even when the path isn't fully defined., • Clear, direct communicator. You can synthesise complexity for different audiences — from engineers in a retro to leadership in a roadmap review. How We Work • Location: London (Kings Cross & Farringdon offices), • Working Pattern: Full-time, in-office (5 days a week). We believe the best work happens when we're in the same room, and we design flexibility around personal needs where possible., • Commute: We ask that you live within a 60-minute commute of your office location.

Job Title: Frontend Engineer – React / TypeScript / Next.js Location: London (Hybrid – 2‑3 days in office) Salary: £70,000 – £75,000 + Equity About the Company You’ll join a fast‑scaling SaaS business that’s redefining how enterprise sales teams operate. Their platform uses advanced AI and deal‑intelligence to unlock hidden insights, streamline workflows and elevate team performance. Backed by top investors, the team is lean, ambitious and focused on real‑world impact, yet technically deep and product‑led. About the Role You will help shape the front end of a high‑impact product used by enterprise customers, using React, TypeScript, and Next.js. You’ll work across the full front‑end life cycle — from architecture and design collaboration, through to deployment and optimisation — delivering robust, performant, and accessible user interfaces. You’ll join a highly collaborative team where your voice will matter, and your work will be visible at scale. What You’ll Do • Build and maintain modern web applications using React, TypeScript, and Next.js., • Translate UI/UX designs into responsive, accessible and high‑performance user interfaces., • Collaborate strategically with backend engineers, product owners and designers to deliver end‑to‑end solutions., • Write clean, tested, maintainable code and set best‑practice standards for the front‑end., • Optimize web performance, accessibility (WCAG), responsiveness, and the user experience., • Participate in agile rituals and help take ownership of features from conception to deployment and monitoring. What We’re Looking For • Strong production experience with React, TypeScript and Next.js., • Excellent skills in HTML5, CSS3, and modern JavaScript (ES6+)., • Proven experience with state‑management libraries (e.g., Redux, Zustand)., • Solid experience integrating front‑end apps with RESTful APIs, (GraphQL is a bonus)., • Experience with testing frameworks (e.g., Jest, React Testing Library)., • Comfortable with CI/CD pipelines, version control (Git), modern build tools and an eye for performance optimisation., • Strong understanding of scalable front‑end architecture, responsive design, accessibility standards and code maintainability. Nice to Have • Experience with server‑side rendering or static site generation (Next.js)., • Exposure to AI/ML integrations or advanced analytics in a front‑end context., • Familiarity with GraphQL or micro‑frontend architectures or enterprise‑grade front‑end tooling. What We Offer • Salary: £70,000 – £75,000 + equity participation., • Hybrid working model: 2‑3 days per week in a London‑based office, blended with remote work., • Opportunity to join a high‑growth technology company at a stage where your contributions will be visible and valued., • Working with cutting‑edge technologies, a smart engineering team, and a product used by major enterprise customers., • Real ownership of your domain and career growth in a product‑led engineering culture.

About the Team: You'll be joining the team leading Entrust's Identity portfolio, formerly known as Onfido (an AI- powered digital identity solution). Our technology helps businesses verify real identities using machine learning, ensuring secure remote customer onboarding. By assessing government- issued identity documents and facial biometrics using state-of-the-art machine learning, we provide companies with the assurance they need to operate securely while allowing people to access services quickly and safely. Our Applied Scientist team consists of about twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely with product engineering to deploy models to serve our worldwide customer base. Position Overview: We are looking for an Applied Scientist II to design and train cutting-edge machine learning solutions related to digital identities. Join our team and work on challenging problems in deepfake detection, bias mitigation, document understanding, anomaly detection and/or efficient ML. What you will be doing: • Push the frontier of research in areas such as deepfake detection, bias mitigation, fraud/anomaly detection, face matching, document understanding, and efficient on-device ML., • Publish research results in national and international conferences and scientific journals. Work with product and engineering to improve our world-class identity-focused products. Representative work: • Implement bias-mitigation strategies to build fair face-matching and deepfake-detection models., • Train and benchmark large-scale vision-language models for document extraction., • Train a multi-modal document understanding model from scratch using synthetic data., • Optimise LoRA adapter latency in PEFT/Triton., • Profile, debug and improve model training speed on multiple GPUs., • Create a large-scale dataset for deepfake detection., • Experiment with multimodal models to detect fraud. You may be a good fit if you: • Have strong experience in machine learning and computer vision., • Have a strong record of successfully delivering high-performance ML-driven products., • Have a deep understanding of machine learning theory., • Have strong coding skills in Python and PyTorch., • Care about building fair and cutting-edge machine learning products. Strong candidates may also have: • Technical experience in one or more of the following areas: face matching, bias mitigation, anomaly detection, document understanding or on-device ML., • Published at top-level machine learning conferences. Experience optimising (distributed) training code. Where you will be: This role is based in our London, UK office and follows a hybrid model, requiring in-office presence three days per week. Benefits UK • 25 days annual leave plus a day off for your Birthday., • Two paid volunteering days per year.*, • Bupa Private Medical and Dental Insurance*, • Pension with The People’s Pension (employer contribution 4% of base salary)*, • Generous paid parental leave, • Life enrichment allowance of up to £80 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy, • Dedicated learning opportunities including using tools like Linkedin Learning with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more, • Our open and transparent culture is reflected in our “Better Together” motto and we bring this to life by meeting once a week for our global weekly roundup (OnThursday); holding quarterly team socials, and other company-wide social events, • Expense up to £300 (or local equivalent) to purchase workstation setup equipment, • The opportunity to become a member of Entrust’s resource groups in order to learn different skills in our belonging groups Ready to Make an Impact? If youʼre excited by the prospect of working on cutting-edge machine learning for problems that matter, Entrust is the place for you. Join us in making a difference. Letʼs build a more secure world—together. Apply today! NO AGENCIES, NO RELOCATION #LI-GR1 #ENT123

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 Series A, earned recognition in the Chartis RiskTech100® and Everest Group’s Leading 50™, and expanded our products, markets and customer base. 2025 was 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, 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 isn’t just another tech role; it’s an opportunity to shape the future of the due diligence industry with a market-leading product trusted by global organisations. Whether you’re in marketing, communications, sales, or finance, you’ll play a critical role in driving growth, building credibility, and defining how we connect our product to a rapidly evolving market. We’re scaling fast with more customers, more releases, and bigger regulatory and market challenges. Expectations are rising, due diligence now means real-time insight, delivered efficiently and with impact. You won’t just be executing campaigns, closing deals, or managing numbers, you’ll be influencing strategy, optimising processes, and helping position a brand that’s setting the new standard for trust and transparency. For people who love learning, innovating, and making an impact that matters now is the moment to be a part of Xapien. The Role We're hiring a Staff Backend Engineer to join our engineering team in a high-impact technical leadership role. You'll work on our most challenging technical problems, own parts of our platform's architecture, and help shape the technical direction of our backend stack. Our tech stack centres on Go microservices, with Temporal workflows and MongoDB running on Kubernetes in GCP. You'll work with modern patterns including event-driven architectures, gRPC and REST APIs, and comprehensive observability with Grafana Cloud. We're an AI-native engineering team. We use Claude Code daily and we're investing heavily in AI-assisted development as a core part of how we build software — not as an experiment, but as a first-class engineering practice. We want engineers who are excited about this and who have ideas about how to push it further: how to decompose work for AI agents, how to maintain quality at higher velocity, and how to help an entire team get dramatically more productive with these tools. You'll take technical ownership of major domains within our platform — whether that's our Investigations pipeline (web scraping, data provider integrations, LLM-powered analysis) or our Core App systems (user journeys, features, and configuration). You'll be a technical authority, establishing patterns that others follow and driving initiatives that span multiple teams. What You'll Do • Own the technical direction and architecture for parts of our platform, • Design and build complex backend services and systems that scale, • Drive technical decisions that affect multiple teams, • Establish patterns, standards, and best practices that others will follow, • Shape and evolve our AI-assisted development practices, setting the standards for how the team works effectively with AI tooling, • Use AI tooling to multiply your own output and help the wider team do the same, rethinking how engineering work is planned, decomposed, and delegated, • Lead complex technical initiatives from design through implementation, • Identify and address systemic technical challenges across our backend, • Set the standard for high-quality code, whether written by hand or with AI — knowing when to trust, when to intervene, and what good looks like either way, • Mentor engineers across the organization, raising the technical bar, • Balance technical excellence with pragmatic delivery, • Influence technology choices and architectural direction, • Collaborate with engineering leadership on technical strategy, • Build new systems and features while improving our existing architecture What We're Looking For Essential • 10+ years of professional software engineering experience, • Strong backend engineering fundamentals — we use Go, but we're hiring an engineer, not a language specialist. If you're excellent and haven't written Go before, that's fine., • Proven track record of designing and owning large-scale systems, • Strong experience with distributed systems, event-driven architectures, or similar complex systems, • Deep understanding of databases, particularly MongoDB or similar NoSQL systems, • Extensive experience with microservices architecture and inter-service communication, • Expert-level understanding of containerization (Docker) and orchestration (Kubernetes), • Experience working with AI coding assistants (Claude Code, Copilot, Cursor, or similar) as a core part of your development workflow, with a perspective on how to get the most value from them, • Experience establishing technical standards and patterns across teams, • Strong architectural thinking with ability to balance trade-offs, • Track record of mentoring and developing other engineers, • Ability to drive technical initiatives with minimal guidance, • Experience influencing technical direction at an organizational level, • Excellent communication skills with ability to articulate complex technical concepts Highly Desirable • Experience with Temporal or similar workflow orchestration systems at scale, • Deep knowledge of event streaming platforms like Kafka, • Experience with LLMs and AI integration (particularly for Investigations team), • Experience driving AI tooling adoption and practices across an engineering team — establishing shared conventions, measuring impact, and helping engineers level up, • Background in SaaS platforms or B2B products at scale, • Expert-level knowledge of observability tools (Grafana, Prometheus, etc.), • Deep understanding of authorization patterns, security, and multi-tenancy, • Experience with protobuf and gRPC Our Tech Stack • Languages: Go, • Databases: MongoDB, • Messaging & Orchestration: Temporal, Kafka, • APIs: REST, gRPC, protobuf, • Infrastructure: Kubernetes, GCP, • Observability: Grafana stack, • AI/ML: LLMs (OpenAI, Gemini), RAG systems, • Development Tools: Claude Code, AI-assisted development workflows What Success Looks Like In your first 6 months, you will have • Owned and driven a significant technical initiative to completion, • Established new patterns or improved existing ones across teams, • Mentored multiple engineers, visibly raising technical standards, • Contributed to architectural decisions, • Been recognized as a technical authority in your domain, • Made measurable improvements to system reliability, performance, or scalability, • Influenced the technical direction of our backend platform, • Helped evolve our AI-assisted engineering practices, contributing to how the team gets more value from our tooling 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 you 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.

Security Operations Specialist Location – London (minimum 3 days in office per week) Salary - £100-120k + 20-30% Bonus + Great Benefits Currently working with a UK Investment Management firm who are in the process of building out their Cyber Defence capability and looking to bring in a cloud-based Security Operations Specialist, with a blend of both Analysis and Engineering experience. You will be dealing with the escalated alerts from a 3rd party MSSP, investigating and responding to the most complex incidents whilst building out IR Playbooks and Processes and developing the internal Threat Hunting capability. You will act as a mentor to the more junior Analysts within the team and play a pivotal role in shaping how the SOC capability is built. This is an incredible opportunity for an experienced Senior SOC Analyst / Engineer to join a growing yet established firm at a crucial point as they completely build out their Information and Cyber Security capability. Whilst they have the fundamentals in place, this is a completely greenfield SOC buildout, where you will work alongside the Head of SecOps to shape their SOC monitoring, detection and response function. Key Responsibilities: • Act as a lead and technical escalation point on the most complex incidents and investigations., • Proactively look for opportunities to automate, fine-tune and streamline the detection engineering and general SOC capabilities., • Utilise various internal and external Threat Intelligence feeds to execute proactive threat hunting campaigns., • Mentor and train junior team members through complex incident response investigations. Key Requirements: • Significant experience working in a SOC environment (5+ Years), responding to and containing the most high-profile, escalated incidents., • Comprehensive knowledge of the Microsoft Security stack – Defender, Sentinel, E5 Security Suite, etc, • Proven experience building detection rules, fine-tuning and streamlining SOC tooling and capabilities., • Experience working in cloud-native SOC environments – Azure and/or Azure. If you’re an experienced Security Operations Specialist, looking to shape how one of the most innovative Investment Management firms build out their cyber defence capability and leave a lasting impact on one of the most reputable organisations whilst working alongside a team of genuine Cyber Security SMEs, click the to apply or get in touch directly –

Engineering Manager (Hands-On) Playter is a UK-based SME lender providing flexible finance to growing businesses. We combine product-led underwriting, real-time data ingestion, and proprietary risk models to originate and service short-term lending at scale. In late 2025, Playter was acquired by Shawbrook Bank. This significantly expanded our engineering remit. We are now building and operating product and platform layers supporting both: • Player-originated lending products, • Shawbrook unsecured SME lending This includes core servicing systems, risk infrastructure, regulatory reporting, and bank-grade integrations. We are actively migrating from a traditional CRUD-style architecture to an event-sourced system across core financial domains (accounts, payments, transactions, balances, journal postings). This is a foundational architectural shift and a central part of our 2026 roadmap. AI is deeply embedded in how we work. We use AI-assisted development tooling extensively, and our product workflows include AI-driven data extraction and understanding layers. Team & Environment • Small, high-calibre engineering team, • TypeScript monorepo, • Node.js services, • tRPC API layer, • Postgres + Prisma, • GCP infrastructure, • Strong product-engineer ownership model, • High autonomy, high accountability Engineers work directly with Risk, Finance, Operations, Sales, and Shawbrook stakeholders. Problems don’t arrive as neatly written tickets. You’ll help define them, pressure test assumptions, and shape the solution before a line of code is written. We’re not a feature factory. You own things end to end - discovery, design, sequencing, implementation, integration, shipping, and watching it in production. If something breaks, you care. If something feels wrong in the domain model, you fix it. The expectation is high autonomy with high accountability. Engineers are trusted to make architectural decisions and are equally responsible for the operational consequences of those decisions. Role Overview We are seeking an early-career Engineering Manager. This may be a Tech Lead moving into management, or someone with 1-2 years of existing management experience. This is not a pure management role. You will remain hands-on, contributing technically (often via AI-assisted development), while taking responsibility for team performance, planning, and delivery. The team is small. This role requires strong organisational discipline without introducing unnecessary bureaucracy. Responsibilities • Line management of engineers (1:1s, feedback, development plans), • Workload planning and prioritisation, • Delivery tracking across multiple parallel initiatives, • Cross-functional coordination (Risk, Finance, Bank stakeholders), • Maintaining high engineering standards, • Contributing technically to key projects Required Experience • Strong full-stack engineering background (Node/TypeScript preferred), • Experience leading projects end-to-end, • Experience mentoring or leading engineers, • Exposure to stakeholder management, • Structured thinking around planning and sequencing work Ideal Experience • Transition from Tech Lead to EM, • Experience in fintech or regulated environments, • Comfort working in small, high-autonomy teams, • Experience managing change during acquisition or integration phases

Senior Data Engineer London | Hybrid | AI-Native Consulting Environment £80,000-£90,000 + package Our client is a fast-growing, AI-native, engineering-led consultancy building advanced semantic, ontology-driven and agentic AI systems. As they deepen their data engineering capability, they are seeking a senior-level Data Engineer to design and operate high-fidelity, ontology-aligned data foundations that power knowledge graphs, reasoning systems, retrieval layers and AI products. This is a strategic engineering role for someone who sees data not simply as pipelines and tables, but as structured, semantically coherent knowledge that underpins intelligent systems. The Purpose of the Role You will build production-grade data pipelines explicitly aligned to ontologies and semantic models. Your work will ensure that entity definitions, relationships, taxonomies and domain constraints are faithfully represented in data flows, making them reasoning-ready and AI-consumable. Working within a senior, cross-functional delivery model (consulting, ontology and engineering), you will play a foundational role in building robust semantic layers and enabling high-value AI systems for clients. Key Responsibilities Data Pipeline Engineering (Semantic & Ontology-Aligned) • Design, build and maintain ETL/ELT pipelines aligned to ontology and knowledge graph structures, • Implement transformations that respect entity models, relationships, taxonomies and domain constraints, • Apply semantic enrichment patterns including mapping, harmonisation, linking and feature extraction, • Deliver high-quality, structured data to downstream AI systems, agents, retrieval layers and decision engines Ontology & Knowledge Graph Collaboration • Translate conceptual ontologies into implementable schemas and data flows, • Partner with ontology architects on entity modelling, semantic definitions, metadata and lineage, • Deploy pipelines into ontology-aware platforms (e.g. graph databases, semantic layers, Foundry-style systems), • Ensure semantic compliance, data integrity and reasoning-readiness Data Quality, Observability & Lineage • Implement robust data quality frameworks (validation, profiling, anomaly detection), • Build observability into pipelines (lineage tracking, logging, freshness monitoring, schema drift detection), • Ensure alignment with governance, security and industry standards AI Enablement & Data Serving • Build high-quality datasets for retrieval pipelines (RAG), embeddings and conversational agents, • Create data foundations supporting decision engines, reinforcement learning and value measurement, • Partner with AI engineers to operationalise pipelines for LLM workflows and agentic systems Standards, Documentation & Reusability • Produce clear documentation for data models, schemas, ontologies and lineage, • Codify semantic ETL patterns and reusable modelling templates, • Contribute to internal accelerators, engineering standards and playbooks Experience & Technical Requirements We are looking for strong data engineering fundamentals combined with demonstrable semantic and ontology experience: • 5–8 years’ experience in data engineering, data platform development or data-intensive systems, • Strong SQL and Python for scalable data transformations and services, • Experience with at least one major cloud platform (AWS, Azure or GCP), • Hands-on experience with semantic or ontology-driven data models, including:, • Graph databases (e.g. Neptune, Neo4j, Blazegraph, Stardog, TigerGraph, Foundry, Timbr), • RDF/OWL modelling, SHACL validation or ontology tooling, • Semantic ETL and ontology mapping pipelines, • Knowledge graph construction, enrichment and query patterns, • Experience operationalising pipelines for AI systems, LLM workflows or retrieval ecosystems, • Familiarity with modern data tooling and platform engineering practices, • Comfortable working in iterative consulting delivery environments with evolving requirements Behavioural Attributes • High agency – independently drives complex workstreams end-to-end, • Structured thinker – brings clarity and rigour to ambiguous, messy data domains, • Collaborative – works effectively with ontology architects, AI engineers and consultants, • Quality-driven – prioritises correctness, observability, maintainability and semantic integrity, • Clear communicator – able to explain semantic concepts and data reasoning to non-technical stakeholders, • Low ego, high ownership – focused on outcomes and value creation What Success Looks Like • You deliver clean, trustworthy, semantically aligned data ready for ontologies and AI layers, • Ontology architects rely on your pipelines for entity consistency and semantic accuracy, • AI engineers build faster because your data structures and retrieval layers are reliable and predictable, • Your semantic ETL patterns and modelling templates are reused across engagements, • Clients trust your clarity, rigour and dependability in data work underpinning high-value AI systems, • Your work becomes foundational to the firm’s semantic and agentic engineering capability Why Join • Senior-heavy, engineering-led culture with deep focus on ontologies, knowledge graphs and AI systems, • Early-stage growth environment backed by significant investment and strong market traction, • High autonomy, low bureaucracy and meaningful system-building responsibility, • Opportunity to shape internal standards, accelerators and AI-native products, • Clear commitment to responsible AI and widening access to advanced technologies, • Flexible working model with a modern Central London presence, • Comprehensive health, wellbeing and pension benefits This is an opportunity to help define how semantic data engineering enables next-generation AI systems, within a firm where clarity, technical depth and real-world outcomes matter. If you are an experienced Data Engineer ready to work at the intersection of ontologies, knowledge graphs and AI, we would welcome a confidential conversation.

AI Product Owner / AI Adoption Lead • Hybrid (London), • 12‑month FTC, • £80,000–£95,000 DOE Role Purpose This role exists to rapidly build internal AI capability within a planning consultancy that is currently behind the market in AI adoption. You will lead the selection, implementation, and optimisation of AI tools across the business, while shaping long‑term AI strategy and laying the foundations for future internal product development. This is a greenfield position with full board backing, created to eliminate dependency on expensive external consultants, address internal frustrations with slow AI rollout, and ensure the organisation keeps pace with competitors already innovating in this space. What You Will Do: AI Strategy, Implementation & Tooling • Audit current AI usage and identify immediate opportunities for productivity gains., • Select and implement tools such as Copilot Pro, Gemini, Claude, ensuring legal and compliance alignment., • Provide clear, commercially‑driven recommendations on which tools the business should and should not adopt., • Build an AI roadmap aligned to both operational efficiency and future productisation potential. Prototyping & Internal Tool Development • Create lightweight prototypes (e.g., AI‑assisted planning statement drafting, automation for routine planning processes)., • Work independently with minimal engineering support., • Engage external partners only when necessary and only where you determine ROI justifies it., • Avoid over‑engineering: focus on practical, cost‑efficient solutions that deliver immediate value. Governance, Safety & Compliance • Draft and implement the company’s internal AI policies, including rules on confidentiality, data protection, client privacy, and appropriate AI use., • Set compliance frameworks that allow hesitant teams to adopt AI confidently., • Establish safe operating procedures in a regulated professional environment. Training, Upskilling & Cultural Change • Build and deliver a training programme for consultants at all levels., • Provide hands‑on coaching in prompting, safe AI use, and AI‑enabled workflows., • Support juniors and mid‑levels (the primary user base) while influencing senior leadership., • Drive cultural adoption in a business that wants faster AI progress but lacks in‑house expertise. In‑Office Integration & Stakeholder Engagement • Work in the office the majority of the week to embed AI into real workflows., • Build trusted relationships across teams to understand their pain points and adapt solutions quickly., • Report progress directly to senior leadership and collaborate with board‑level stakeholders. Must‑Have Requirements • Demonstrable experience implementing AI tools inside a business, not just advising., • Strong practical skills in prompting, workflow optimisation, tool selection, and adoption enablement., • Experience working independently or in small/startup environments., • Ability to choose between off‑the‑shelf tools vs lightweight internal builds., • Deep appreciation for client confidentiality, compliance, and risk, especially in a professional advisory context., • Comfortable being in-office most of the week to work closely with teams. Preferred / Nice-to-Have • Experience in planning, legal, environmental, regulatory, or other professional services sectors., • Background in startups, innovation teams, or in-house product/AI roles., • Familiarity with planning processes (helpful but not required)., • Ability to operate across both strategic and hands-on technical layers. Please apply with you most recent updated CV.