Business data model jobs in United Kingdom

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. We are the now and the next. The power behind the people building the future. We are born from the spirit of innovation. We are created from the idea that people around the world want more, need more, deserve more. We are the home of the global digital revolution. We are CNN. To see what it’s like to work at CNN, follow @WBDLife on ___ and ___! Your New Role… We are looking for the Advanced Analytics Lead who will be responsible for owning, developing and delivering advanced statistical and regression-based analytics that underpin a new measurement solution within the Audiences & Data portfolio. This role sits at the intersection of statistical modelling, insight generation and commercial application. The successful candidate will be the analytical authority on how perception, brand and influence data are modelled, interpreted and translated into robust, defensible insight for clients and internal stakeholders. This is a hands-on senior analytics role, requiring deep expertise in regression and multivariate modelling, alongside the ability to clearly explain methodology, guide junior analysts and ensure outputs are both statistically sound and commercially relevant. Your Role Accountabilities… * Own the end‑to‑end analytical approach for a flagship perception and influence measurement solution, from model design through to delivery. * Design, run and evolve regression, multivariate and factor‑based models to identify and quantify the drivers of perception and influence. * Partner closely with commercial, insight and product teams to shape analytical approaches that address real business questions. * Support sales and account teams by clearly articulating what the analytics can (and cannot) demonstrate. * Provide technical leadership and mentoring to analysts working on perception and influence analytics. * Raise overall analytical capability through coaching on statistical thinking, modelling techniques and interpretation. * Contribute to hiring, onboarding and skills development within the analytics function as required. Qualifications & Experience… * Strong experience in advanced analytics, statistical modelling or quantitative research roles. * Deep, hands-on expertise in regression analysis and multivariate statistical techniques. * Strong working knowledge of R and/or Python for statistical analysis. * Experience working with survey, perception, attitudinal or brand-related data. * Experience in media, marketing effectiveness, brand measurement or advertising analytics. * Familiarity with index construction, weighting frameworks or composite metrics. * Experience working with large, multi-market datasets. * Exposure to experimental design or causal inference approaches. #CCE Hybrid Working - This role is advertised as a Hybrid work model, that combines remote and in-office work, following our current company policy and to be agreed with your Line Manager. Subject to any applicable laws, WBD / your Line Manager reserves the right to change this working agreement where this is essential to business needs and upon reasonable notice to you. How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at ___ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our ___ for instructions to submit your request.

Head of Identity & Access Governance (IAG)Location: London - Hybrid - 3 days on siteDepartment: BISO OfficeReports to: BISOType: Full-Time,PermanentSPONSORSHIP UNAVAILABLERole Summary:The Head of Identity& Access Governance is a senior strategic leader responsible for definingand executing the global Identity Security and Zero Trust roadmap across acomplex international organisation. This role leads enterprise-wide governanceof digital identities, access models, controls, and technologies, ensuringsecure-by-design access for employees, partners, and systems across multipleregions.The ideal candidatecombines deep expertise in Identity Governance, Zero Trust architectures,Active Directory / Entra ID, and identity transformation with strongleadership, stakeholder influence, and operating-model experience.Key Responsibilities1. Strategic Leadership & Roadmap Ownership • Develop and own the global Identity & Access Governance strategy, aligned to business objectives and the enterprise cyber roadmap., • Lead the design, implementation, and continuous improvement of the organisation's Zero Trust security model, including identity as the new perimeter., • Define the multi-year roadmap covering identity governance, PAM, role engineering, directory services, automation, and identity analytics. 2. Identity Governance Oversight • Set enterprise-wide policies, standards, and controls governing user access, privileged access, and system entitlements., • Ensure consistent governance across all regions and business units, including federated environments and third-party access., • Oversee Joiner-Mover-Leaver (JML) lifecycle automation and risk-based access models. 3. Technology Leadership (AD, Entra ID & IAMPlatforms) • Own the strategy and governance model for Active Directory (AD), Entra ID (Azure AD), and domain services across the enterprise., • Lead or advise on major technical initiatives such as consolidations, domain modernisation, AD hardening, conditional access, and authentication standards., • Oversee selection, architecture, and operation of IAG and PAM tools - OKTA 4. Zero Trust & Access Transformation • Champion a holistic Zero Trust vision covering identity, device, network, application, and data security., • Define principles such as least privilege, continuous validation, segmentation, and risk-adaptive access., • Drive adoption across business functions, technology teams, and geographic regions. 5. Governance, Compliance & Risk Management • Ensure identity processes comply with global standards and regulations (ISO 27001, NIST, SOX, GDPR, industry-specific controls)., • Lead IAG risk assessments, audit readiness, control testing, and remediation activities., • Provide executive reporting on identity risk posture, programme maturity, and KPIs. 6. People Leadership & Operating Model • Lead and grow a global Identity Governance team responsible for strategy, governance, engineering, and operations., • Build effective partnership models with IT Operations, Cloud Engineering, Security Architecture, HR, and Global Business Units., • Establish a federated identity operating model with clear accountability and measurement. 7. Innovation & Continuous Improvement • Evaluate emerging technologies, • Drive automation to streamline access provisioning, certifications, and privileged access processes., • 10+ years' experience in Identity & Access Management, with at least 5 years in strategic or leadership roles., • Proven experience managing identity services across global, multi-region, multi-forest environments., • Deep understanding of Active Directory, Entra ID, authentication protocols, and directory security., • Demonstrable ownership of Zero Trust strategy implementation at enterprise scale., • Strong background in IAG technologies., • Experience with Privileged Access Management (CyberArk, BeyondTrust, etc.)., • Strategic vision with the ability to execute at scale., • Strong leadership and cross-functional influence., • Technical authority in identity and directory services., • Risk-driven decision-making., • Excellent communication and executive presentation skills.

White Collar Factory (95009), United Kingdom, London, London Engineering Manager – Software & ML About this role We are looking for a Software Engineering Manager who brings a solid foundation in modern development and some experience with Machine Learning environments. You’ll lead and grow a team that builds the core software powering our data-driven financial products, ensuring our models are integrated into seamless, consumer-facing experiences. What you’ll do * Lead & Scale: Support a cross-functional group of engineers to design, develop, and integrate software features that are vital to the lives of credit card consumers. * Nurture Talent: Coach and nurture your engineers, including those working on ML integration to achieve their technical, business, and personal goals. * Bridge the Gap: Collaborate with Product Managers and Data Scientists to ensure ML models are effectively integrated into our production software. * Build Robust Systems: Oversee the development of platforms that are performant, secure, and capable of handling the unique deployment needs of AI-powered features. * Optimize Delivery: Enhance engineering and agile processes, ensuring that model updates and software releases move in sync. What we’re looking for * Leadership Excellence: Proven experience leading and supporting software engineering teams to achieve business goals. * Technical Breadth: Excellent knowledge of RESTful API development in modern languages (Java, Python, or .Net) and experience with Cloud environments (AWS or Azure). * AI Awareness: You aren't necessarily a researcher, but you have expectations of how AI fits into the stack. You understand the basics of model inference, data requirements, and how to manage the non-deterministic nature of AI. * Strategic Thinking: Comfortable making technical trade-offs between the need for rapid experimentation and long-term architectural stability. * Collaborative Mindset: Ability to communicate effectively across engineering teams to maximize inner-sourcing and reduce technical debt. What you’ll get to learn * ML Integration at Scale: How to take machine learning models out of the lab and into a high-concurrency production environment. * Regulated AI: Navigating the complexities of fairness and transparency in a regulated financial landscape. * Cloud Evolution: Deepening your expertise in AWS/Cloud native tools that support modern intelligent applications. Where and how you'll work This is a permanent position based in either our London or Nottingham offices. We have a hybrid working model. You'll be based in the office 3 days a week (Tuesdays, Wednesdays, and Thursdays) to foster team connection and collaboration. What’s in it for you * Innovation Time: We give you 10% of your time to work on cutting-edge projects—whether that’s exploring new AI frameworks or building internal tools. * Growth: Access to Capital One University and external training to help you grow as both a leader and a technical strategist. * Total Reward: Competitive salary, performance bonus, and immediate access to core benefits (pension, private medical, and generous holiday). * World-Class Facilities: From our Nottingham gym and music rooms to our London rooftop running track and premium coffee bars. Our Commitment to Diversity We pride ourselves on hiring the best people, not the same people. We partner with organisations like Women in Tech and Stonewall to ensure we build teams that reflect the customers we serve. We offer a host of internal networks including REACH (Race Equality and Culture Heritage), OutFront (LGBTQ+ support), and Mind Your Mind. Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

Role: Senior Python Developer Location: London, hybrid (in-office 3x weekly) Data Platform — Architecture & Infrastructure Lead ABOUT INFOBEL PRO InfobelPro is a leading provider of B2B company data and points-of-interest intelligence. Our platform ingests, deduplicates, enriches, and cross-references company information from over a dozen authoritative sources — spanning national business registries, commercial data providers, open geographic datasets, and professional networks — to serve millions of entity records to customers via API, filtered queries, and bulk exports. We are building an entirely new data platform from the ground up. This is not a migration of legacy code into a new framework — it is a clean-sheet architecture designed to process billions of raw records into a unified, entity-resolved dataset that is accurate, auditable, and GDPR-compliant by design. The platform is built on a deliberately modern, open-source stack: Dagster for orchestration, DuckDB for processing, ClickHouse for serving, Splink for entity resolution, and FastAPI for the customer-facing layer. Everything runs on bare-metal servers (Hetzner) with infrastructure managed through Ansible — no cloud lock-in, no managed services, no abstraction layers between the team and the hardware. ABOUT THE ROLE You will be the technical lead of a three-person team building InfobelPro’s next-generation data platform from a blank repository. This is not a role where you inherit someone else’s architecture and maintain it, you will design the schema, lay the infrastructure, choose the patterns, and set the engineering culture that two junior developers will grow into. The platform processes billions of records from diverse sources, resolves them into a unified entity graph, and serves them at low latency to customers who depend on the data for critical business decisions. You will own all of it: the pipeline that transforms raw files into enriched entities, the ClickHouse schema that serves them, the infrastructure that keeps it running, and the GDPR compliance layer that keeps it legal. This is a high-autonomy role. You will report directly to the CTO and make architectural decisions with real consequences. The right candidate is someone who has previously owned a data pipeline end-to-end in production — including the infrastructure it runs on — and understands that the hardest problems are not algorithmic but operational: keeping a system reliable when data sources change format at midnight, pipelines fail silently, and disk fills up on a Friday. WHAT YOU WILL DO • Design and implement the ClickHouse schema for the entity-centric data model — companies, POIs, persons, addresses — optimised for three access patterns: point lookups, filtered analytical queries, and bulk exports., • Build and operate the infrastructure: provision and configure Hetzner bare metal servers using Ansible, manage the ClickHouse cluster (3 replicas + processing node + hot spare), configure networking, firewalls, and SSH access., • Architect the Dagster pipeline: define the asset graph, set up partitioning for monthly source ingestion, implement retry and backfill strategies, and establish the patterns that junior developers will follow for every new data source., • Own entity resolution: configure and tune Splink for probabilistic matching across company records from different sources. Define blocking rules, comparison functions, and match thresholds. This requires judgment — balancing precision against recall for datasets with hundreds of millions of records., • Implement the GDPR compliance layer: amendment tables, query-time filtering for erasure/rectification/restriction, immutable audit logging, and 7-year retention on tamper-proof backup storage., • Set up monitoring and alerting: Grafana dashboards for infrastructure health, pipeline status, and data quality trends. Prometheus for server metrics. Pydantic Logfire for data validation. On-call response when something breaks., • Design the backup and disaster recovery strategy: rclone-based backups to R2 and Hetzner Storage Box, tested recovery procedures, and documented runbooks., • Mentor two junior developers: conduct code reviews, pair on complex problems, design onboarding tasks that build real competence, and create a team culture where people ship with confidence., • Architect the AI enrichment layer (Phase 3): design the agent framework, define the multi-tier model strategy (cheap bulk models for gap-filling, frontier models for diagnostics), implement token budget caps and ROI tracking per task type., • Use AI coding tools as a force multiplier. We use tools like Claude Code and Cursor daily and we are actively pushing towards multi-agent workflows — orchestrating parallel AI sessions to scaffold connectors, generate tests, and prototype solutions simultaneously. You will be expected to adopt this way of working and help the team get better at it. WHAT WE ARE LOOKING FOR Required • 8+ years of professional software development experience, primarily in Python., • You have owned a data pipeline in production end-to-end — from ingestion through transformation to serving — and you were responsible for keeping it running, not just writing the initial code., • Strong infrastructure skills: you are comfortable with Linux server administration, Ansible (or equivalent IaC), networking fundamentals (firewall rules, SSH tunnels, VPN/vSwitch configuration), and diagnosing production issues from logs and metrics., • Deep SQL knowledge and experience with analytical/columnar databases. ClickHouse experience is a significant plus; experience with any OLAP system (BigQuery, Redshift, DuckDB, Druid) translates well., • Experience designing data models for large-scale analytical workloads — you understand denormalisation trade-offs, partitioning strategies, and why the entity model matters more than the engine., • You have mentored junior developers before and believe that a well-structured codebase and clear task scoping are more valuable than heroic individual effort., • You use AI-assisted development tools (Claude Code, Cursor, GitHub Copilot, or equivalent) as part of your daily workflow — not as a novelty, but as a core part of how you write and ship code. You should be comfortable prompting AI agents, evaluating their output critically, and knowing when AI-generated code needs manual correction. We will ask you to demonstrate this during the hiring process., • Comfort with ambiguity. This is a ground-up build. There is no existing architecture to reference, no established patterns to follow. You will define both. Interview Process: • Complete a short Google Form with questions related to the role, • Initial touchpoint with the recruiter to align on role expectations and key requirements, • Take-home assessment, • Technical interview with the CTO, • Final alignment conversation with the CEO Strong Pluses • Experience with ClickHouse in production (schema design, ReplacingMergeTree, cluster management, query optimisation)., • Experience with probabilistic entity resolution or record linkage (Splink, Dedupe, Zingg, or custom implementations)., • Familiarity with Dagster, Airflow, Prefect, or similar orchestration frameworks., • Experience with DuckDB or other embedded analytical engines., • Background in B2B data, company data, or master data management., • Experience with GDPR compliance in data platforms (erasure, rectification, audit trails)., • Experience orchestrating multi-agent AI development workflows — running concurrent Claude Code or Codex sessions, delegating parallelisable tasks to agents, and integrating results into a coherent codebase. If you are already doing this, you will fit right in., • Experience building custom AI agent pipelines for data tasks — not just chat interfaces, but structured LLM workflows for data extraction, classification, or enrichment with programmatic validation.

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.

Reward Gateway | Edenred is a global leader in benefits and employee engagement. We help businesses attract, engage, and retain top talent through strategic rewards, recognition, and well-being solutions. Guided by our shared missions of ‘Making the World a Better Place to Work’ and ‘Enriching Connections, For Good’, we are committed to transforming workplaces and improving people’s daily lives. Due to continued business growth, we are looking for a Lead AI Engineer who will report to the Director of AI Engineering. This role will be a subject matter expert for applied AI within our Engineering organisation. This role suits a hands‑on team lead who builds and ships customer‑facing, production‑grade AI, solving complex problems, shaping long‑term strategy, and rolling up their sleeves to help teams adopt practical, reliable AI every day. You will architect and build production-ready AI systems, guide technical decision-making, and ensure we deliver meaningful products for our clients and employees. Key Responsibilities • Architect, build, and ship production-grade AI / Generative AI products using LLMs, RAG, agents, strong context strategies, and responsible guardrails., • Lead a small team (initially 2 AI engineers) and scale it; partner with Product using a working backwards mindset; set objectives, run Agile/Scrum, coach, and make fast, high-quality decisions., • Drive 10x productivity with AI agents and AI coding assistants while maintaining high standards for code quality, testing, reviews, and observability, taking full ownership of AI outcomes., • Evolve POCs into measurable solutions with clear metrics, A/B tests, online evaluation, and lightweight models., • Own end-to-end workflows: data pipelines, evaluation and benchmarking, instrumentation, human-in-the-loop validation, and compliance., • Operate on AWS and Kubernetes with CI/CD, infrastructure as code, monitoring, performance, and cost control., • Make pragmatic choices, including LLMs, prompting vs fine-tuning, embeddings and vector search, hybrid search; ensure privacy, PII protection, and enterprise controls. Skills, Knowledge and Expertise • Hands‑on leader who has built and shipped production AI and full‑stack systems., • Python first; testing and CI/CD; fluent with AI coding assistants (Cursor, Copilot, Claude Code) and accountable for outcomes, • Applied LLMs: Claude or similar; RAG, agents, prompt engineering; embeddings + vector DBs; hybrid search; evaluation/benchmarking, • Data engineering: ETL; SQL/NoSQL design; data sourcing/ingestion with governance and quality, • Cloud/platform: AWS, Kubernetes, Docker; infrastructure as code; observability, • Advanced retrieval/reranking and context/chunking strategies; offline/online evaluation frameworks, • ML data lifecycle: feature engineering; train/val/test splits; dataset versioning; pipeline orchestration; production monitoring for drift/quality, • Ability to contribute to React, TypeScript, and PHP codebases, • Cost and performance at scale: model routing, caching, token/latency budgets; SLOs (e.g., p95 latency, availability) The Interview Process • Online interview with the Talent Partner and the Director of AI Engineering, • Technical interview with Director of AI Engineering, VP of Product Engineering, and VP of Product At Reward Gateway | Edenred, we are committed to ensuring an inclusive and accessible recruitment process for all candidates. If you have any specific requirements or need reasonable adjustments at any stage of the recruitment journey, please let your Talent Acquisition Partner know. Your needs are important to us, and we want to ensure an equitable experience for every candidate.

PaymentGenes is proud to be partnering with a high-growth, international technology organisation to appoint a Senior / Lead Data Scientist (AI-Native, AWS ML Stack, Production-Focused). This is a strategic hire within a business scaling real-world AI solutions — moving beyond experimentation into production-grade, AI-powered systems embedded directly into enterprise workflows. If you are passionate about deploying scalable ML systems that deliver measurable commercial impact, this opportunity is for you. This role goes beyond model experimentation! You will design, deploy, and scale AI-driven solutions using modern foundation models and AWS-native machine learning infrastructure. From LLM-powered agents to predictive models embedded in automated workflows, your work will directly influence business operations at scale. You’ll operate at the intersection of modelling, engineering, and intelligent automation. 🌐 What You’ll Do 🧠 Model Development & AI Systems Design • Design and train predictive models using AWS SageMaker, • Develop LLM-powered systems via AWS Bedrock (including Claude integration), • Build RAG pipelines combining structured and unstructured data, • Develop evaluation frameworks for accuracy, bias, and robustness, • Architect reasoning agents using advanced foundation models, • Use code-generation tooling for automation logic and integration scripting, • Orchestrate multi-step AI workflows, • Deploy AI-powered decision layers into enterprise processes, • Deploy and manage models using SageMaker (training, endpoints, pipelines), • Leverage Bedrock for foundation model access, • Implement serverless inference with Lambda & API Gateway, • Utilise S3, Glue, Athena for data processing, • Implement CI/CD for ML workflows, • Monitor performance via CloudWatch and drift detection tooling, • Build reproducible ML pipelines, • Implement model versioning and dataset tracking, • Design structured output validation and guardrails, • Monitor performance and trigger retraining cycles, • Identify high-impact AI use cases, • Translate business problems into ML system designs, • Lead experimentation frameworks (A/B testing, uplift modelling), • Mentor data scientists and collaborate closely with data engineering, • Communicate AI strategy and risk to senior stakeholders 🛠 Technical Environment Core Data Science • Advanced Python & SQL, • Statistical modelling & ML algorithms, • Feature engineering, • SageMaker (training, endpoints, pipelines), • Bedrock (foundation models incl. Claude), • Lambda (serverless inference), • S3, Glue, Athena, • CloudWatch, • Foundation models for reasoning workflows, • Code-generation tooling for automation scripting, • Agent orchestration frameworks, • Enterprise workflow automation tools, • RAG architectures, • Embeddings & vector stores 👤 What We’re Looking For • 6–10+ years in data science or applied ML, • Proven experience deploying ML models into production, • Hands-on experience with AWS-native ML services, • Experience building LLM-powered workflows or AI agents, • Demonstrated delivery of measurable business impact You’ll Thrive If You Have: • Strong problem-framing ability, • Systems-level thinking beyond model accuracy, • AI governance awareness, • Clear communication across technical and executive audiences, • A bias toward practical deployment over research-only outputs 💡 Example Projects You Might Deliver • Production fraud detection model deployed via SageMaker endpoint, • Internal AI copilot powered by Bedrock and embedded into workflows, • RAG-based compliance monitoring assistant, • Automated revenue forecasting pipeline with retraining triggers, • AI-driven document intelligence system (classification + extraction) 📈 What Success Looks Like • Reduced time from model prototype to production, • Stable, monitored ML endpoints delivering measurable ROI, • Improved decision accuracy in automated workflows, • Strong adoption of AI-enabled tools across the business, • Controlled infrastructure cost per inference This is a rare opportunity to build AI systems that operate at real scale within a forward-thinking technology environment. 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.

Data Scientist – FinTech | London | £60–85k I’m working with a high‑growth FinTech in London that’s building out their data function to support smarter, data‑driven lending decisions. They’ve been scaling quickly and are now looking for someone to work closely with the C Suite to model and price loans in a more predictive, evidence‑based way. You’ll be joining a small but sharp team with a BI Analyst and a wider tech group (frontend, backend, and product). This is a rare chance to join a company with a blank slate for Data and be the person that shapes the strategy and research the models you think are best fit. What You'll Do • Take ownership of the data that underpins lending and pricing decisions., • Build and refine the underwriting scorecard, working out the right weightings and using expert judgement backed by data., • Develop predictive and analytical models to identify the leading indicators of default and credit performance., • Analyse historic customer data and uncover the signals that predict repayment behaviour., • Back test models, iterate, and automate model building over time., • Visualise and communicate insights clearly to the executive team. What They’re Looking For • Strong statistical and mathematical background, • Confident sourcing, cleaning, and manipulating data independently (Python, SQL, BigQuery)., • Excellent with Power BI or similar for dashboarding and storytelling., • Experience building predictive models from scratch, • Someone curious, analytical, and genuinely passionate about digging into data to solve business problems., • STEM degree

Senior Software Engineer The Opportunity On behalf of a global powerhouse in FinTech Infrastructure, we are seeking a Senior Software Engineer. Our client operates one of the largest financial networks, serving as the digital backbone for thousands of global financial institutions. This is a senior-tier appointment for an engineer who excels at building resilient, high-concurrency systems and wants to lead the digitalization of global financial markets. The Technical Stack You will be working within a modern, engineering-first culture. The core stack includes: • The Engine: Expert-level C# and .NET Core mastery., • Architecture: Deep understanding of SOA (Service Oriented Architecture) and complex Object-Oriented design patterns., • System Dynamics: Specialized knowledge of concurrency, asynchrony, and parallelism—essential for real-time transactional processing., • Data & Web: High proficiency in SQL Server, Web API design, and modern front-end fundamentals (HTML/CSS/JS)., • Reliability: A strict practitioner of TDD (Test Driven Development) and robust CI/CD processes. Desired Innovations Our client is actively modernizing. Exposure to the following is highly valued: • Cloud & Orchestration: Azure ecosystems, Docker, and Kubernetes (AKS)., • Messaging Patterns: Enterprise systems like Azure Service Bus or NServiceBus., • Next-Gen Tech: Experience with Blockchain development or Cryptographic concepts is a significant plus., • Modern UI: TypeScript and Angular for responsive, data-heavy interfaces. Your Impact • Technical Leadership: You will participate in defining the technology and process strategy, occasionally leading high-level innovation or software design initiatives., • Full-Lifecycle Ownership: Design, document, and communicate system solutions that balance high performance with security and cost-effectiveness., • Collaboration & Mentorship: Act as a "Technical Enabler," bridging the gap between deep engineering and business-led requirements while mentoring junior talent., • Innovation: Drive the modernization of global financial infrastructure, replacing frictional legacy processes with fast, efficient, and scalable digital services. Who You Are • FinTech Professional: You have a deep commercial background in Financial Services, Payments, or Transactional Systems. You understand the stakes of high-volume, regulated data., • Team-Centric: You thrive in an Agile environment where team dynamics and peer reviews are taken seriously., • Strategic Thinker: You can contextualize your technical work for non-technical stakeholders and have a passion for "big picture" system evolution. Package & Culture • Salary: £90,000-£100,000 per annum + Performance-related Bonus., • Flexibility: A balanced Hybrid model out of a state-of-the-art Central London office., • Benefits: Industry-leading pension, private healthcare, and a culture that prioritizes professional growth.

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 Senior Data Engineer, you will be developing 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’ll be writing clean, maintainable and well-tested code that follows best practices. As a senior member of the team, you will be providing technical leadership and mentorship to your colleagues. 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 • Design and evolve our configuration-driven data framework in Databricks and our Snowflake warehouse., • Mentor Junior members of the team, aiding their growth and acting as a force multiplier through your technical leadership., • Design, build, and optimize data pipelines using Databricks, Kafka, Python and PySpark., • 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., • Contribute to the continuous improvement of our development processes and tools. Must-Haves • Experience designing auditable, reproducible data pipelines in regulated or high-integrity environments using Python and PySpark., • 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., • Comfortable translating complex regulatory requirements into technical specifications., • Ability to work autonomously with a high degree of accountability for the systems you build and maintain. 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.

Engineering Manager London (Hybrid – minimum 1 day per week in office) Up to £160,000 base + Equity Options + benefits Our client is a fast-growing technology company building enterprise-grade software that enables institutions to operate securely within the crypto ecosystem. The business bridges established financial services and on-chain technologies, supporting regulated organisations as they adopt and scale digital-asset operations. The company works with a large and growing base of enterprise customers, including financial institutions and public-sector organisations. With engineering teams distributed across Europe and the US, and London positioned as a key growth hub, the organisation is continuing to scale at pace. As part of this growth, we’re exclusively supporting them in hiring three Engineering Managers. Key Responsibilities • Lead and develop two engineering teams of up to 14 Engineers and Tech Leads, • Own delivery, execution, and overall team performance, • Drive improvements in engineering process, delivery predictability, and quality, • Manage complex people challenges, including performance management and team development, • Partner closely with technical leadership on planning, prioritisation, and execution, • Contribute to hiring strategy, interview processes, and onboarding as the organisation scales, • Ensure clear communication and alignment across engineering teams Requirements • Proven experience as an Engineering Manager in a fast-growing technology environment, • Strong technical background (backend, platform, or systems engineering), • Experience managing senior engineers, hands-on ICs, and Tech Leads, • Demonstrated ability to improve team performance and delivery, • Experience working in cloud-native environments, • Comfortable operating in complex, data-intensive systems, • Excellent written and verbal communication skills Additional Information The engineering organisation primarily works with Rust and TypeScript, alongside modern cloud infrastructure and tooling. Direct expertise in these technologies is not required; however, candidates should be comfortable leading teams operating in a modern, backend-focused, cloud-native environment and engaging credibly with senior, hands-on engineers. This role requires a minimum of one day per week in the London office to support collaboration and effective team leadership. Why Join? • Lead teams building mission-critical infrastructure used by large, regulated institutions, • Play a key role in scaling an engineering organisation during a high-growth phase, • Work closely with senior technical leadership and influence how engineering operates, • Remote-first working model with limited in-office requirement, • Opportunity to work on technically complex, high-impact systems If you are an experienced Engineering Manager looking to lead high-calibre engineering teams in a technically complex, high-growth environment, we would be keen to speak with you. Please apply or get in touch with Chris Williams for more details.

Senior AI Platform Engineer – Up to £90,000 Base Hybrid: 1–2 Days per Week On‑Site (South West London) A tech‑led insurer is scaling a new AI function and hiring an AI Platform Engineer to build production‑ready AI systems on GCP. This is one of the first hires into a newly created AI organisation, with the mandate to make the business the UK’s first fully AI‑powered insurer. What You’ll Do • Build and operate production‑grade AI agents on GCP using Google’s ADK, • Integrate AI systems with policy, claims and CRM platforms via REST/JSON APIs, • Develop scalable RAG pipelines including ingestion, text processing and vector search, • Implement evaluation, monitoring, A/B testing and cost/latency dashboards, • Shape architectural patterns, engineering standards and wider AI strategy, • Work across key AI products including claims automation and internal retrieval tools Role Requirements • Background in Data/ML Engineering or Software Engineering with strong applied AI experience, • Deep expertise in GCP (Vertex AI, BigQuery, Cloud Run/Functions, ADK, Model Garden), • Strong Python and API development experience, • Hands‑on with LLMs, embeddings, RAG, vector databases, • Proven track record building production‑ready AI systems with observability and testing, • Solid DevOps capability: CI/CD, Docker, Kubernetes Work Environment & Location • 1–2 days per week on‑site in either:, • South West London, • Hybrid flexibility the remainder of the week Key Products You'll Impact • Claims Automation (Agentic AI): End‑to‑end automated claims processing focused on efficiency, indemnity savings and cost reduction, • Internal AI‑powered retrieval tool already live and expanding across internal platforms Why Join? • Direct and visible impact on P&L, cost savings and operational performance, • A fast feedback loop — far quicker than large insurers or corporates, • Significant “low‑hanging fruit” in automation and workflow optimisation, • Opportunity to build agentic systems from the ground up, • Backed investment and a roadmap to scale the AI team to 10+ people, • Chance to be part of a pivotal transformation as the organisation becomes an AI‑powered insurer Apply below!

Job Title : Data Modeler - P&C Insurance Location : London , UK Mode : Hybrid Role Summary: As a business modeling focused data modeler, your role involves creating and maintaining various levels of data models that align with Sub domain/Super Domain goals. You will closely work with the sub domain owners and sub domain Data product managers to understand business goals, value hypothesis, and use cases to help build Data products that are well supported by effective and efficient data models. In this role you will be responsible to closely collaborate with other personas in the domain driven architecture/operating model to drive the growth of your business domains. Qualifications: • Bachelor’s degree in computer science, Data Science, Statistics, Mathematics, or a related field., • Minimum of 8+ years of experience in data modeling in the property and casualty insurance industry., • Proficiency in SQL, data modeling tools and languages such as Python and UML., • Strong analytical thinking is essential for creating efficient and scalable data models that meet business needs., • Proven experience as a Data Modeler preferably in the property and casualty insurance industry. Familiarity with property and casualty insurance industry data, systems, and processes. Ability to understand business needs, revenue drivers and stakeholder requirements., • Take ownership of the product’s success and advocate for its value., • Experience with Agile methodologies and data modeling tools., • Familiarity with data modeling concepts and database technologies., • Excellent communication and leadership skills, with the ability to bridge the gap between technical teams and business stakeholders., • Strong problem-solving skills and the ability to work in a dynamic, fast-paced environment Key Responsibilities: • Business Analysis and strategic planning: Analyse business use cases to understand the goal and value hypothesis that the domain owners are driving towards, • Model Design and Build: Create data models that will support the data product vision of the Data product manager. Develop conceptual models representing the sub/super domain business model. Ensure the conceptual model is created with Meta Model/Ontology and/or Knowledge Graph utilization. Develop logical and physical data models to meet the Data product requirements through the means of business use cases and the KPIs. During the Physical data modeling process of the data product, ensure all the various output requirements are fully satisfied. E.g. – SQL endpoints, Dashboard/Reports and API consumption., • Data Mapping and Quality: Ensure the data catalog activities for the data product are carried out. Help the domain data analysts to complete the source to target mapping, data quality rule setup for the target data model’s critical data elements (CDE)., • Database Optimization: Optimize Cloud databases such as Delta Lake or One Lake for efficiency, scalability, and faster access using techniques like indexing and partitioning., • Data Governance: Work with Federated Governance guild to define global policies that define and govern data modeling practices, design standards, best practices across the data marketplace., • Collaboration: Work closely with data engineers, analysts, and other teams to implement and maintain effective data models.

Affinity Labs: Founding Product Engineer Location: London Area, United Kingdom · On-site Company Description At Affinity Labs, we’re building a full-stack AI venture studio that partners with content creators to co-found authentic, scalable software businesses. By combining AI-native development with creator-led distribution, we're pioneering a new model of monetisation by rapidly building, launching, and scaling digital ventures alongside with creators and their audiences. We aim to launch ventures 10x faster and cheaper than traditional methods using our internal "AI factory": a multi-agent architecture, reusable component libraries, and a growing knowledge graph that learns from every product we ship. Why Affinity Labs: Ship at rapid pace with AI-accelerated workflows, see your work distributed to tens of thousands of users at launch, and compound impact across multiple products, not just one. Role Description You’ll lead end-to-end product engineering across our portfolio: scoping features, designing APIs and data models, building backend services, and shipping polished user-facing experiences across web and mobile. This is an early-stage, hands-on role with significant autonomy and responsibility. You will own full-stack product delivery, from infrastructure and AI integrations through to React / React Native interfaces, collaborating closely with founders, creators, product, and design to turn lean specs into scalable, user-loved software. We’re looking for a strong generalist with backend depth and real mobile experience. Responsibilities • Implement features end-to-end (mobile + web frontend → APIs → data models → integrations) while maintaining quality and velocity., • Build React Native mobile apps and shared component systems across products., • Design and ship scalable backend services (APIs, integrations, AI workflows)., • Run tight build → test → iterate → ship loops; provide realistic estimates and surface blockers early., • Manage tech debt pragmatically, • Participate in daily standups and weekly planning; contribute to technical strategy and execute from Linear tickets., • Contribute meaningfully to product and architecture discussions; be heard in debate and align to unified decisions., • Own operability: CI/CD, monitoring/alerting, performance optimisation, safe rollbacks., • Build and integrate AI features (LLM/agent workflows, RAG/vector DB integration, eval hooks, cost/safety guardrails)., • Help evolve our reusable product templates and shared architecture across the portfolio. Essential Requirements • 3-6+ years building production-grade full-stack applications, with clear ownership., • Strong backend experience in Python (FastAPI preferred) and solid database skills (PostgreSQL/MongoDB)., • Proven experience building and shipping mobile apps with React Native., • Strong React fundamentals (Next.js experience a plus)., • Solid API design and systems thinking., • Familiarity with AWS serverless patterns and Docker; basic CI/CD concepts., • Comfortable with Redis (caching/sessions) and queue/messaging patterns., • Startup mindset: high ownership, comfort with ambiguity, bias toward shipping., • Growth mindset & flexibility: open to feedback; not rigid about stack/tools., • Clear communicator & collaborator; able to guide product decisions from engineering perspective., • Evidence of shipping quickly in small teams (links to apps, repos, case studies, live products). Desired • Node.js alongside Python for services or integrations., • App Store / Google Play release experience., • Experience with vector databases (e.g., Chroma) and embedding pipelines., • LangChain or CrewAI for orchestration; MCP servers for integrations., • Security hygiene (secrets, permissions, least-privilege) and practical data-privacy basics., • Planning & execution in Linear (or similar). Tools & Stack • Backend/Runtime: Python (FastAPI), Node.js., • Frontend: React/Next.js, • Mobile: React Native, • Datastores: PostgreSQL, MongoDB (as appropriate), Redis (caching/sessions)., • Vectors/Embeddings: Chroma (or similar)., • AI Models & APIs: Claude (Anthropic), Gemini (Google); Amazon Nova Canvas (vision), Deepgram (audio)., • AI Dev Tools: LangChain or CrewAI (orchestration), MCP servers (integration), GitHub Copilot / Claude Code., • Infrastructure: AWS (serverless functions), Docker (primarily for custom MCPs). Competencies & Behaviours • Communicates clearly with technical and non-technical teammates., • Takes ownership from concept to deploy and through maintenance., • Thinks in systems + design for reuse across a portfolio., • Balances technical excellence with pragmatic delivery to meet business needs., • Adapts quickly to changing requirements and emerging tech; applies AI learnings., • Sets clear goals, tracks progress, and hits commitments; collaborates across disciplines. Why this role is a career launchpad • Own the code & the company. You step in as a Founding Engineer with a meaningful equity stake from day one., • Ship faster with AI at your side. Our workflow bakes in AI so you spend your time solving real problems—not boilerplate., • Ride a rocket. Our wider vision is big and the bar is high; we need driven people who can help us achieve an ambitious roadmap., • Grow like crazy. You’ll architect, build, and launch multiple products each year. The shipping reps you’ll get in 12 months here would take 3–4 years in a typical startup. There’s a lot of work, it’s high intensity, and the expectation is to ship extremely quickly., • Learn from builders, not bosses. Work shoulder-to-shoulder with a team that has scaled VC-backed startups, closed multi-million-pound term sheets, and collaborated with 1,000+ creators across formats and categories.

Principal Data Platform Architect Project description We are seeking a Principal Data Platform Architect with proven experience leading enterprise data platform migrations from Palantir Foundry to Databricks. This role will drive the strategic design, migration, and optimization of the enterprise data ecosystem, transitioning data pipelines, ontologies, and transformation workflows from Palantir Foundry to a scalable Databricks Lakehouse architecture. The successful candidate will provide architectural leadership and technical direction, ensuring data integrity, governance, performance, and long-term platform sustainability. You will collaborate closely with data engineering, DevOps, and business stakeholders to modernize the data platform, establish best practices, and deliver a secure and high-performance migration. Responsibilities • Define and execute the end-to-end migration roadmap from Palantir Foundry to Databricks, including target architecture, data models, security, and governance frameworks., • Analyze existing Foundry pipelines, datasets, and ontologies, and redesign them into scalable Databricks (Delta Lake) ETL/ELT workflows using PySpark and SQL., • Implement validation frameworks to ensure complete data accuracy, consistency, and lineage throughout the migration process., • Optimize Spark workloads, cluster configurations, and storage strategies to ensure high performance and cost-efficient operations in Databricks. Must have • Advanced Databricks Experience. Deep knowledge of Databricks architecture, Delta Lake, job orchestration, cluster management, and performance tuning., • Proven Migration Experience (Palantir → Databricks). Demonstrated experience leading or executing platform migrations, including pipeline conversion, data model redesign, and production cutover., • Expert-Level PySpark & Python Skills. Strong ability to design, optimize, and refactor distributed data processing workflows., • Advanced SQL & Data Modelling Expertise. Experience in dimensional modeling, lakehouse architecture patterns, and query optimization., • Hands-on Expertise in Palantir Foundry. Proven experience with Foundry pipelines, ontologies, data lineage, transformations, and platform governance., • Understanding of the Investment Data Domain., • Familiarity with Dynatrace or Datadog for system observability and monitoring., • Databricks certification, cloud certifications (Azure/AWS), or enterprise data architecture certifications.

The Role: AI Engineer (London based) We're seeking exceptional AI Engineers who can operate at the intersection of cutting-edge AI technology and real-world business impact. This isn't about building demos or proofs-of-concept. You will own end-to-end development of production AI systems serving actual customers at scale from day one. Technical Excellence • Strong engineering fundamentals with 5+ years building AI production systems, • Comfortable with infrastructure (K8s, cloud platforms), backend (Python, FASTapi) and front-end (React, TypeScript), • Hands-on experience with modern AI/ML frameworks and deployment patterns, including GenAI, • Track record of shipping products that scale to thousands of users Additional benefits: ▪ Competitive base salary and benefits ▪ Meaningful upside participation in the value you create ▪ Direct access to 50+ portfolio companies and their operations ▪ Flat structure with direct access to leadership ▪ Your code reaches thousands of users from day one What You'll Do Own the full stack & product lifecycle ▪ Architect and build production-grade AI applications from zero to one ▪ Design systems that handle enterprise-scale data and millions of users from day one ▪ Implement everything from model serving infrastructure to polished user interfaces ▪ Make critical technical decisions balancing innovation with reliability ▪ Ship with velocity: build like a startup, scale like an enterprise Solve AI's hardest problem: real-world deployment ▪ Navigate the complexity of implementing AI in messy, regulated, legacy-filled enterprise environments ▪ Build solutions that work with imperfect data, demanding SLAs, and complex stakeholder requirements ▪ Transform cutting-edge research into revenue-generating products, not demos ▪ Tackle technically challenging problems across fintech, enterprise SaaS, B2B services and more Operate as a serial product builder ▪ Lead product development across multiple portfolio companies and industries ▪ Hone your skills across different verticals in 9-18 month sprints ▪ Build institutional knowledge about what makes AI products succeed or fail ▪ Own the entire AI product lifecycle from ideation to production Execution Velocity ▪ Demonstrated ability to ship fast without sacrificing quality ▪ Experience in high-growth startups or equally fast-paced environments ▪ Comfortable with ambiguity and rapid iteration ▪ Strong opinions, loosely held: able to make decisions with incomplete information Product & Business Acumen ▪ Intuition for what makes products valuable to users ▪ Ability to translate between technical complexity and business value ▪ Experience working directly with customers and stakeholders ▪ Understanding of enterprise software dynamics is a plus Mindset & Drive ▪ Enthusiasm about AI – from the products we are building, to the latest tools, and AI-first ways of working ▪ Hunger to build products that matter, not just interesting technology ▪ Ownership mentality: you don't wait for specifications, you create them ▪ Intellectual curiosity across industries and technologies ▪ Thrives in intense, high-performance environments ▪ Ready to work hard and learn fast Location: London (in-person 3 days/week, with travel to portfolio companies) Start date: Immediate Team size: Small, elite, and growing thoughtfully

Power Platform Engineer, London/Hybrid, 6 months, £572/day (Inside IR35) A good client of mine, a leading digital consultancy are currently looking to bring on a Power Platform Engineer on a 6 month initial contract working for one of their big financial end cleints. This will be a hybrid role, working 3 days a week from their Central London office. Power Platform Engineer • Develops solutions on Microsoft Power Platform (Power Apps (Canvas and Model-driven), Power Automate, Dataverse, and Power BI)., • Strong software engineering fundamentals; familiar with the full SDLC from requirements through to production deployment., • Experience working in Agile/Scrum delivery teams., • Has built and deployed Canvas Apps and used Dataflows within Power Platform for data integration and transformation., • Comfortable setting up connectors and endpoints, including email connectors and REST API integrations., • Hands-on with Power Platform Pipelines and/or GitHub CI/CD for promoting solutions to production., • Familiar with the Microsoft/Azure stack (Azure configuration, Azure AD, SharePoint, Microsoft 365)., • Proven track record deploying solutions into production environments., • Good communication and presentation skills; able to present designs and demos to business stakeholders confidently. Apply for more information.

A leading Financial Services organisation is looking to appoint a Head of Data Platform Engineering to lead the design, development and ongoing evolution of its enterprise data platform. The role is offering a base salary of £125,000 plus excellent benefits. The business operates a remote-first model, with occasional travel to its London and Southeast office. This is a senior leadership role with responsibility for a modern Azure and Snowflake environment, leading teams across platform engineering, quality and governance. You will shape the data platform roadmap, drive delivery across both strategic change and BAU, and play a key role in building a scalable, secure and high-performing data capability. The role will suit someone who combines strong technical depth with proven leadership experience in modern data platforms. You will be expected to improve engineering standards, strengthen DataOps and CI/CD practices, drive platform optimisation and cost control, and act as a senior partner to stakeholders across technology and the wider business. Key requirements • Strong experience leading modern data platform engineering teams, • Deep knowledge of Snowflake, Azure and cloud-based data environments, • Proven background in DataOps, DevOps, CI/CD and engineering best practices, • Experience improving platform scalability, quality, security and governance, • Ability to influence senior stakeholders and lead cross-functional delivery, • Strong people leadership skills, with experience building capable, high-performing teams This is an excellent opportunity to join a business investing heavily in its data estate, where you will have real ownership, visibility and the chance to shape the future direction of the platform. If you are an experienced Head of Data Platform Engineering with the required background, please respond to this advert with an up-to-date copy of your CV for review.

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.

Director - Data Architecture & Engineering Location - UK Business Cities | Model - Hybrid – UK Citizens pls Salary - £110k - £135k - depending on Excerience and location You'll lead a diverse team of exceptional talent working to deliver cutting-edge data engineering solutions for high-growth organisations operating in the mid-market private sector. In addition to delivering exceptional client outcomes, you’ll play a pivotal role in growing the business by supporting the directors in converting bids into a secured pipeline. If you’re looking for a role where you can stay close to the technology by designing and building contemporary data platforms, this opportunity offers exactly that. What You’ll Be Doing • You'll help clients define what good looks like, make confident technology choices, and, with the support of your team, shape the design and build of robust, scalable data platforms., • Leading complex data and engineering engagements using Microsoft Azure, Fabric and Databricks., • Writing and reviewing high-quality Python and SQL for data transformation, automation and analytics., • Translating complex technical concepts into clear, actionable insights for non-technical audiences., • Building a pipeline of advisory-led data, analytics and AI engagements, • Coaching, mentoring and developing high-performing data and engineering teams. What You’ll Bring • A blend of strategic advisory capability and hands-on technical depth., • Significant experience in data architecture and data engineering, including platform design and build., • Strong expertise in Microsoft Azure cloud services for data storage, processing and analytics., • Proven experience with modern data platforms such as Fabric and Databricks, with strong programming skills in Python and SQL., • Confidence engaging with senior stakeholders, including board-level conversations, while remaining comfortable working close to the technology. For More information, apply here, or email

Do you want to shape how LLMs are deployed at scale in a real business? Have you built RAG or agentic systems that moved beyond experimentation? Are you motivated by measurable customer and commercial impact, not demos? A private-equity-backed consumer services business is scaling its Data Science & AI capability as part of a multi-year transformation. Following an award-winning data programme, the company now has an established AI function and is investing further in LLM-powered assistants, RAG pipelines, voice/chat intelligence and early agentic workflows across both customer-facing and internal products. This Senior AI Engineer role is a hands-on individual contributor position, sitting between Data Science and AI Engineering. You will lead AI proof-of-concepts, design retrieval and context strategies, contribute to the AI architecture, and ensure solutions are robust, scalable and commercially grounded. The role spans the full AI lifecycle, from data preparation and model evaluation through to deployment and optimisation. Key responsibilities • Lead development of LLM and AI proof-of-concepts, • Design and implement RAG pipelines and agentic workflows, • Define evaluation frameworks for LLM quality and response accuracy, • Partner with product and engineering on chat flows and continuous improvement, • Contribute to AI platform architecture and best practices, • Mentor junior ML / AI engineers (no formal line management) Key details • Salary: £80,000 base + 10% bonus, • Pension: 5% matched, • Working model: Hybrid, 3 days per week (Tuesday & Wednesday fixed), • Location: Central London, • Stack: Python, Databricks, RAG, vector databases, Azure (preferred), LangChain / LangFuse, • Visa: This role cannot sponsor Interested? Please apply below.

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

Role Summary The Senior ServiceNow Architect is accountable for the end-to-end technical architecture, governance, and strategic evolution of the ServiceNow platform, with a strong focus on ITSM, ITOM, CMDB, CSDM, and Discovery. This role provides architectural leadership across the ServiceNow estate, ensuring the platform is scalable, secure, supportable, and aligned to ServiceNow best practices and industry frameworks such as ITIL. The architect defines the technical roadmap, governs design decisions, and acts as the senior technical authority across delivery teams and stakeholders. Key Responsibilities Platform Architecture & Strategy • Own and maintain the ServiceNow platform architecture, ensuring alignment with enterprise architecture standards and ServiceNow OOTB best practices., • Define and govern the ServiceNow technical roadmap, balancing short term delivery needs with long term platform sustainability., • Act as the design authority for all significant platform changes, integrations, and enhancements., • Ensure architectural consistency across ITSM, ITOM, CSM, and future ServiceNow capability expansion. CMDB, CSDM & Discovery Leadership • Design, implement, and govern a robust CMDB architecture, ensuring accuracy, completeness, and fitness for purpose., • Lead the adoption and ongoing maturity of the Common Service Data Model (CSDM) across business, application, and infrastructure layers., • Define and enforce CMDB data governance, including CI lifecycle management, ownership models, reconciliation rules, and data quality KPIs., • Architect and oversee ServiceNow Discovery solutions (horizontal and cloud), ensuring reliable, automated population of the CMDB., • Ensure CMDB alignment with downstream consumers such as Incident, Problem, Change, ITOM Health, and Service Mapping. Solution Design & Delivery Governance • Design end to end ServiceNow solutions, from requirements through to build, test, and deployment., • Provide hands on architectural guidance to developers and implementation teams, reviewing designs and code where required., • Ensure solutions minimise customisation and maximise OOTB capabilities, configuration over custom code, and reuse., • Govern technical delivery through design reviews, architecture boards, and technical assurance checkpoints. Integrations & Platform Engineering • Architect and govern integrations using REST, SOAP, IntegrationHub, MID Servers, and event based patterns., • Ensure integration designs are secure, resilient, scalable, and aligned with enterprise integration standards., • Oversee MID Server architecture, credential management, and network/security considerations., • Ensure performance, availability, and resilience of the ServiceNow platform. Stakeholder & Senior Leadership • Act as a trusted advisor to platform owners, senior stakeholders, and programme leadership., • Translate business requirements into clear, pragmatic architectural solutions., • Mentor and develop Solution Architects, Technical Leads, and senior developers., • Contribute to practice assets, standards, accelerators, and continuous improvement initiatives. Required Skills & Experience Technical & Functional Expertise • Extensive experience designing and architecting ServiceNow enterprise implementations., • Deep expertise in: o ITSM (Incident, Problem, Change, Request, Knowledge) o CMDB & CSDM (v4+ concepts, domains, service lifecycle) o ITOM (Discovery, Service Mapping, Event Management – preferred) • Strong understanding of ITIL processes and how they are implemented in ServiceNow., • Proven experience governing complex, multi team ServiceNow delivery programmes. Architecture & Delivery • Proven experience defining platform wide architecture standards and guardrails., • Strong integration design experience (REST/SOAP, IntegrationHub, MID Server patterns)., • Experience working in Agile / Scrum delivery environments., • Excellent stakeholder management and communication skills. ServiceNow Certifications Mandatory / Strongly Expected • ServiceNow Certified System Administrator (CSA), • ServiceNow Certified Implementation Specialist – ITSM (CIS ITSM), • ServiceNow Certified Implementation Specialist – Discovery or ITOM (or equivalent ITOM CIS) Highly Recommended for Success in the Role • ServiceNow Certified Application Developer (CAD), • ServiceNow Certified Implementation Specialist – Service Mapping, • ServiceNow Certified Implementation Specialist – CMDB / CSDM aligned modules (where available) Architect Level / Strategic Certifications (Preferred) • ServiceNow Certified Master Architect (CMA) or, • ServiceNow Certified Technical Architect (CTA) or actively progressing toward CTA, • ITIL v4 Foundation or higher

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.

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 Lead Data Architect for one of our clients. ✅Work location: London ✅Work setting: hybrid Key Responsibilities • Design the UDM across the four domains (Customers, Applications, Assessments, Cases), aligning with the DSFS data model and existing Netezza structures., • Produce the EDW logical and physical data models, dimensional models for the Semantic Layer, and Data Lake zone architecture (Bronze / Silver / Gold)., • Define Enterprise Semantic Layer design, including pre-computed aggregations, dimensional models, and Tableau connectivity specifications., • Lead source system profiling (D02), producing profile reports for each system in the seven-system scope., • Ensure data model designs meet NFRs: 200 concurrent users, 1-hour maximum response time, and 99.5% availability., • Provide architectural guidance to the Data Architect and Lakehouse Data Engineers on detailed implementation. Knowledge and Experience • Minimum 8 years in data architecture, with at least 3 years leading enterprise data model design., • Experience designing Lakehouse architecture: medallion architecture (Bronze / Silver / Gold), Delta Lake, or equivalent., • Proficiency in dimensional modelling (Kimball methodology) and enterprise data modelling., • Experience with Databricks (Unity Catalog, Delta Lake) or Snowflake on AWS., • Knowledge of Semantic Layer design patterns: pre-computed aggregations, business-facing views, Tableau integration., • Experience migrating from legacy EDW platforms (Netezza, Teradata, Oracle) to cloud-native architectures.

Salesforce Technical Architect (Hands‑On) Location: London (On-site – minimum 40% of time, non‑negotiable) Engagement Type: Full-time contract Duration: Initial 6 months, likely to be extended Umbrella rate: £400 - £430 per day 1. Job Summary We are seeking a hands‑on Salesforce Technical Architect to provide architectural leadership across a Salesforce platform serving internal and external users in a regulated environment. This role is explicitly hands‑on. The Technical Architect is expected to: • Define and document the right target architecture, • Validate architectural decisions through directly executed Proofs of Concept (POCs), • Produce high‑quality architecture artefacts for governance and design forums 2. Key Responsibilities Architecture & Design Leadership • Define end‑to‑end Salesforce solution architecture aligned to business needs, platform strategy, and regulatory constraints., • Own architecture artefacts including:, • High‑level and low‑level design documents, • Data model designs, • Integration and security models, • Design and build Proofs of Concept personally to validate architectural patterns, technical feasibility, and non‑functional requirements., • Use outcomes from successful POCs to directly inform architecture documentation and design recommendations., • Ensure architecture aligns with FCA governance, security, and compliance expectations., • Define and enforce architectural guardrails, patterns, and standards for Salesforce development teams., • Work closely with Product Owners, Technical Leads, and delivery teams to ensure architecture is practical and deliverable., • Support teams during complex delivery phases, releases, or remediation activities., • Provide architectural guidance while remaining pragmatic and delivery‑focused. 3. Essential Skills & Experience • Strong Salesforce technical architecture capability in enterprise‑scale orgs., • Extensive hands‑on experience designing and building solutions using:, • Apex, • Lightning Web Components, • Salesforce configuration and data model design, • Strong architectural knowledge of:, • Salesforce platform architecture, • Service Cloud and Experience Cloud, • Security, identity, and access controls, • Data model remediation and refactoring, • Proven ability to produce clear, governance‑ready architecture documentation., • Strong communication skills, able to explain complex technical concepts to senior and non‑technical stakeholders., • Experience working within regulated or audit‑heavy environments. 4. Nice‑to‑Have • Salesforce Certified Technical Architect (CTA) or progress toward CTA., • Experience supporting large‑scale Salesforce transformations or remediation programmes., • Experience in financial services or public sector environments. 5. Certifications Essential: • Salesforce Administrator, • Platform App Builder, • Platform Developer II, • Integration Architecture Designer, • Data Architecture & Management Designer, • Sharing & Visibility Designer

Machine Learning Engineer, London (5 days a month in office), £90,000 - £120,000 per annum My client, a leading regulatory intelligence company are currently looking to bring on an ML Engineer on a permanent basis. This is a key hire for the business and will look to move quickly for the right candidate. They are based in Central London and you will be required in their London office 5 days per month. As ML Engineer, your mission is to: • Participate in the continuous improvement of our client's products, • Develop advanced NLP and AI-based products that will delight users, • Provide excellence in cloud-based ML engineering, with as much focus on Operations as Development., • Expand of the Team’s knowledge via demonstration and documentation Key Responsibilities As a machine learning engineer, your main responsibility is to conduct the development and productionisation of ML and NLP-based features for the client's products - a SaaS Platform and an API. • Develop optimal ML & NLP solutions for use cases, from baseline to SOTA approaches, wherever appropriate., • Produce high quality, modular code, and deploy following our established DevOps CI/CD and best practices., • Improve the efficiency, performance, and scalability of ML & NLP models (this includes data quality, ingestion, loading, cleaning, and processing)., • Stay up-to-date with ML & NLP research, and experiment with new models and techniques., • Perform code-reviews for your colleague’s code. Engage with them to raise standards of Software engineering., • Propose cloud architectures for ML-based products that need new infrastructure., • Participate in the monitoring and continuous improvement of existing ML systems. Core requirements Experience matters. But what is more important than raw number of years of experience is demonstrated proficiency (through GitHub profiles/online portfolios and the interview process itself). Bonus points for Stack Overflow and Kaggle contributions! What we are looking for • Experience analysing large volumes of textual data (almost all of our use cases will involve NLP) 🔠, • Ability to write clear, robust, and testable code, especially in Python 🐍, • Familiarity with SQL and NoSQL/graph databases 🏦, • Extensive experience with ML & DL platforms, frameworks, and libraries 📚, • Extensive experience with end-to-end model design and deployment within cloud environments ☁️, • A ___ approach 🌐, with passion for MLOps best practises 🌀, • An engineer that can think in O(n) as much as plan the orchestration of their product., • Solid understanding of data structures, data modelling, and software architecture, especially cloud-based. 🏛️, • An engineer that can keep up with mathematically and statistically-oriented colleagues 🔢, • A healthy sense of humour.

Senior AI Engineer London - 1-2x week in office Salary: £80,000 - £90,000 This is an exciting opportunity to join a business that is investing heavily in AI and modern cloud technologies. You will play a key role in building AI‑driven products that have a direct impact on customer experience, operational efficiency and the future of their platform. The Company They are a tech‑forward insurance organisation with a strong focus on delivering smarter, more personalised digital products. Their teams combine data, engineering and customer expertise to create solutions that simplify complex challenges for their users. Innovation, collaboration and a flexible working culture are at the heart of how they operate. They continue to scale their AI capability and are looking for someone who can help shape this next phase of growth. The Role In this AI Platform Engineer role, you will: • Design, build and operate AI‑first products that deliver measurable value., • Develop and deploy production‑grade AI agents on GCP using ADK, integrating with internal systems via REST and JSON APIs., • Build and maintain robust evaluation and monitoring frameworks, including online and offline testing, A/B experiments and performance dashboards., • Integrate AI agent functionality with applications through MCP servers and reliable tool configurations., • Develop secure and scalable RAG pipelines, including ingestion, text processing, metadata handling and vector search in GCP., • Embed security, compliance, GDPR controls and best‑practice engineering with clear documentation and stakeholder collaboration. Your Skills and Experience To be successful, you will bring: • Strong Python skills for backend services, SDKs, API development, authentication and testing., • Hands‑on experience working with LLMs, embeddings, prompt engineering, tool calling and RAG design., • Practical knowledge of GCP services including Vertex AI, Model Garden, BigQuery, Cloud Run and Google’s ADK., • Experience with document and data processing using tools such as Apache Tika, plus storage or caching technologies like Postgres, Redis, GCS or BigQuery., • Solid DevOps practices including CI/CD, Docker, observability and automated testing., • A product‑led mindset with a strong understanding of security, IAM, auditability and defining success metrics. What They Offer • Opportunities to shape AI products from the ground up., • A collaborative environment that encourages innovation and career progression. How to Apply If you are excited about building production‑ready AI systems and want to drive meaningful impact, please apply with your CV.

Senior Data Scientists Hybrid working pattern Who we are • Artefact is a leading global consulting firm dedicated to accelerating the adoption of data and AI. We work with a variety of businesses, from supermarket chains, to private equity firms and telecoms; including Nissan, L'Oréal, Carrefour, WHSmith, Orange, Beiersdorf, BNP Paribas, and Samsung., • Our success stems from combining advanced data technologies, agile methods for quick delivery, and dedicated teams of data scientists, data engineers, business consultants, and data analysts. As a Senior Data Scientist in our London office, your role will encompass: • Designing and implementing advanced data science and machine learning solutions to solve complex business problems., • Taking ownership of project streams, from defining technical deliverables and timelines to presenting updates to client steering committees., • Supervising and mentoring team members on code, deployment, and best practices. Necessary education and experience • Education: A Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative field., • Project & Team Leadership: Demonstrable experience supervising team members, taking responsibility for project delivery, defining technical tasks, and presenting project updates to both internal and client stakeholders., • Advanced Modelling: Proven ability to implement a range of complex models such as time-series forecasting, gradient boosting, clustering, NLP, and Bayesian inference., • ML-Ops & Orchestration: Strong experience with MLOps tools for orchestration, experiment tracking, hyper-parameter tuning, and deploying automated model retraining pipelines., • Programming & Data Engineering: Proficiency in object-oriented Python, advanced dataframes (Polars/Pyspark), and data versioning (DVC). Experience designing data storage solutions and using object-oriented SQL interfaces., • Advanced Education: A Master's degree or PhD in a relevant field is a strong plus., • Parallelisation & Performance: Experience with parallelisation frameworks like Pyspark or Ray., • Advanced Cloud & Infrastructure: Familiarity with serverless deployments (e.g., Fargate, Lambdas), infrastructure automation with Terratest or Ansible.

Senior Technical Account Manager (BMS) London | Hybrid | £55,000 – £65,000 + strong benefits | 4-day week Do you understand how buildings really operate behind the scenes? Do you enjoy combining engineering insight with client-facing commercial impact? Would you like a 4 day week!?! A fast-growing, award-winning smart-buildings technology company is hiring a Senior Technical Account Manager to help major property owners optimise building performance using advanced analytics and real-time data. Backed by significant recent investment and working with leading commercial portfolios, universities and public institutions, the business is experiencing strong growth driven by net-zero targets, smart building adoption and AI-enabled operational efficiency. This role sits at the intersection of building services engineering, customer success and sustainability impact. Why Join • Genuine opportunity to shape performance outcomes across large building portfolios, • Work for a purpose-driven scale-up delivering measurable energy and carbon reduction, • 4-day working week supporting work–life balance, • Exposure to enterprise clients and senior stakeholders, • Fast-growing tech environment with strong investment backing and product innovation, • Collaborative, supportive and sociable team culture The Role • Own the full lifecycle of key customer accounts, from onboarding through to renewal and growth, • Act as the technical interface between engineering teams and client stakeholders, • Analyse HVAC, metering and building control performance to drive optimisation, • Deliver training, insights and ongoing advisory support to ensure platform adoption, • Lead regular performance reviews and identify opportunities to expand contracts, • Translate technical data into clear commercial and operational recommendations, • Support continuous product improvement through structured customer feedback, • Help deliver tangible outcomes in energy efficiency, occupant comfort and maintenance strategy The Profile • Strong experience in technical account management or building services engineering, • Deep understanding of BMS systems — particularly Niagara (essential), • Solid knowledge of HVAC systems, controls strategies and energy optimisation, • Experience with integration protocols such as BACnet, Modbus or similar, • Comfortable engaging senior stakeholders while maintaining technical credibility, • Highly organised, analytical and naturally inquisitive, • Motivated by purpose, sustainability and real-world performance impact, • Degree or HNC in Building Services Engineering (or similar) advantageous Package & Benefits • Salary typically £55k–£65k depending on experience, • 4-day working week (30 hours), • Flexible hybrid working model, • Matched pension contribution, • Enhanced holiday allowance, • Employee wellbeing and assistance support

About SaxeCap: SaxeCap is the premier AI transformation and investment platform in private equity. We pioneered the concept of buying out traditional businesses and transforming them with AI in 2018, and today we are the go-to AI transformation partner for 60+ PE firms globally, including 9 of the 10 largest by AUM as well as the world’s leading sovereign wealth funds. We've transformed 140+ businesses across healthcare services, business services, financial services, software, consumer, and more, driving billions of dollars of enterprise value expansion along the way. We operate at the intersection of three businesses: (1) a private equity investment arm, (2) an in-house AI transformation firm that designs and deploys bespoke GenAI, ML, and automation solutions, and (3) a suite of proprietary software products. Our team comes from places like Google, Palantir, Meta, Surge AI, Blackstone, TPG, Cerberus, Millenium, Balyasny, McKinsey, Bain, Oliver Wyman, MIT, Stanford, IIT, GSB, HBS, and Wharton. We were early investors in OpenAI, Anthropic, Groq, SpaceX, Neuralink, Mercor, Lambda Labs, etc. But what makes our team exceptional isn't where they came from or what they've invested in, it's what they ship. We are builders. About the Role: We are hiring a Vice President, AI Strategy & Deployment to join our AI transformation team and build our presence in the UK and EU. This is not a traditional consulting or investment role. You will own the full lifecycle of AI-driven value creation across our PE partner portfolio, from first engagement with a sponsor, through deep technical and strategic analysis, to managing our engineers and data scientists as they build and deploy solutions that move EBITDA. You will operate across a range of workstreams simultaneously: evaluating AI opportunities for PE sponsors under deal timelines, designing comprehensive transformation roadmaps for portfolio companies, managing technical teams through production AI deployments, supporting investment underwriting for SaxeCap's own PE vehicle, and leading business development with new partners. The common thread: you are the person who connects AI's technical potential to measurable business value, and you own the outcome end to end. About You: You are a hybrid: part technologist, part strategist, part operator. You are equally comfortable whiteboarding a model architecture with an ML engineer, presenting an AI transformation roadmap to a private equity partner, and pressure-testing an LBO model. You move fast, you think in structures, and you obsess over shipped outcomes rather than theoretical potential. Specifically: • 5 to 10 years of experience spanning two or more of: private equity, AI/ML product management, strategy consulting (MBB or comparable preferred), investment banking, or engineering, • You have managed teams of 5+ people (engineers, data scientists, consultants, or analysts) and held them accountable to ambitious timelines, • You have managed executive and C-suite stakeholder relationships, ideally in a PE or PE-adjacent context, • You have real AI/ML fluency: you can discuss model architectures, data pipelines, and build-vs-buy trade-offs with technical teams, not just at a buzzword level. Hands-on experience with Python, SQL, and data science tools is expected. Experience shipping ML products, managing RLHF programs, or building GenAI solutions is a strong differentiator., • You have experience quantifying enterprise value and EBITDA impact of technology or transformation initiatives; not just tracking KPIs, but tying technical outcomes to P&L, • You have product management instincts: understanding user pain points, scoping technical solutions, and managing the build through deployment, • You have operated in fast-paced, ambiguous environments where the scope, stakeholders, and approach shift rapidly, and you thrive in that context rather than resist it, • Bachelor's and/or Master's degree in Computer Science, Engineering, Mathematics, or a related technical field from a top-tier institution What Sets the Best Candidates Apart: The people who excel at SaxeCap share a specific profile. They are not pure technologists and not pure dealmakers, they are the rare operators who can do both. The strongest signals we look for: • Shipped AI, not just studied it. You have built or managed the build of AI/ML solutions that went to production and drove measurable business outcomes. "Led AI strategy" without specifics doesn't move the needle. "Shipped an ML model that reduced X by Y%, managing a team of Z engineers" does., • PE-grade rigor under time pressure. You can form accurate conviction on an AI opportunity from limited information and present that conviction to a PE partner with confidence. If you've worked on a live deal, you know what this feels like., • Builder DNA. You don't just recommend, you build. Side projects, open-source contributions, 0-to-1 products, or intrapreneurial ventures all signal the instinct we're looking for., • Structured synthesis at scale. You can process massive amounts of qualitative and quantitative information and distill it into a prioritized plan that senior executives can act on. This is the hardest skill to find and the one we value most. Compensation & Growth: SaxeCap offers highly competitive compensation, and you will work directly with our senior leadership from day one, with significant client exposure and rapid professional development. The team is lean by design, there are no layers between you and impact.

Software Engineer Approx. £112,000 (Plus Benefits) | London (Hybrid) | Fixed-Term Contract As a Software Engineer, you have influence well beyond your individual contributions. You take ownership of your technical domain, self-direct your work, and plan and scope projects end to end. You act as a key point of contact for cross-functional partners, approaching problems with a structured mindset—researching solutions, evaluating technologies, and recommending approaches that balance short-term delivery with long-term sustainability. Key Responsibilities Software Development & Code Quality • Write high-quality product or system development code with minimal supervision., • Design code for testability and maintainability; write comprehensive test cases and documentation., • Conduct testing beyond unit tests, including integration, performance, stress, security, load, and fuzz testing., • Review peer code and provide constructive feedback to ensure best practices (style, accuracy, efficiency, testability)., • Identify technical debt and high-risk components; implement or guide improvements to enhance long-term code health. Project Ownership & Delivery • Own projects through to completion, including qualification, deployment, monitoring, and ongoing support., • Contribute to end-user documentation, process automation, and customer support where required., • Build or improve testing, monitoring, and feedback systems to support engineering excellence., • Triage and resolve system or product issues by debugging and analyzing impacts across hardware, network, and services. System Design & Architecture • Design systems within your area of responsibility, breaking down complex problems into solvable components., • Assess trade-offs and participate in or lead design reviews to select appropriate technologies., • Ensure systems are scalable, maintainable, and aligned with long-term architectural goals., • For those with reports, balance hands-on technical contribution with guiding and reviewing team designs. Leadership & Business Impact • Set, communicate, and deliver against team priorities aligned with organizational goals., • Partner with stakeholders to make informed decisions and drive business impact., • Prioritize work, allocate resources equitably, and define metrics to ensure successful delivery., • Navigate change effectively by adjusting plans, removing blockers, and encouraging innovation and thoughtful risk-taking. People Leadership & Culture (where applicable) • Foster inclusive team norms that promote belonging, psychological safety, and respect., • Encourage collaboration, open communication, and recognition of positive contributions., • Support employee wellbeing through regular check-ins and proactive workload management., • Role model company values, policies, and ethical standards. Minimum Qualifications Proficiency in the following areas is required: • Programming and code comprehension, • Data structures and algorithms, • Software and systems design, • Architecture and systems thinking, • Test engineering and code/system health, • Debugging, diagnosis, and issue resolution, • Data analysis and synthesis, • Simplification and conflict resolution The successful candidate will join a team that incubates and delivers new products through structured sprint cycles. • Approximately 70% of the role will focus on maintaining and enhancing existing products (including building new features)., • Approximately 30% will be dedicated to incubating and developing new products.

Senior Data Support Engineer (Azure / SQL / Power BI) – UK About the Role We’re working with a leading organisation seeking a Senior Data Support Engineer to join their growing data team. This role focuses on delivering high-quality data insights, supporting data integration processes, and enabling data-driven decision-making across the business. You’ll work across data analysis, reporting, and platform support, collaborating with stakeholders to turn complex data into meaningful and actionable insights. Key Responsibilities • Perform in-depth data analysis to support strategic and operational decision-making, • Work closely with stakeholders to gather requirements and deliver data-driven insights, • Design and develop reports, dashboards, and visualisations using tools such as Power BI or Tableau, • Support and maintain data pipelines and workflows within Azure environments, • Analyse and interpret trends, patterns, and anomalies in large datasets, • Develop and optimise SQL queries for performance and efficiency, • Contribute to the improvement of data collection, processing, and reporting frameworks, • Ensure data quality, integrity, and consistency across systems, • Collaborate with cross-functional teams to deliver data solutions aligned with business needs, • Provide guidance and support to junior team members where required Required Skills & Experience • Strong experience with SQL (query writing, optimisation, troubleshooting), • Hands-on experience with Azure Data Factory and Databricks, • Experience building dashboards and reports using Power BI or Tableau, • Solid understanding of data modelling and data structures, • Experience working with ETL/ELT processes, • Proficiency in Python or R for data analysis, • Strong analytical and problem-solving skills, • Ability to work with stakeholders and translate business requirements into data solutions Desirable • Experience working in cloud-based data environments (Azure preferred), • Exposure to data governance and best practices, • Experience supporting or mentoring junior team members Working Arrangement • Hybrid working model, • 2–3 days per week onsite in London

Job Description: • Our client is transforming their production support function into a full Site Reliability Engineering (SRE) model, and we’re looking for a hands-on SRE Lead to help establish and lead the SRE capability. We are looking for a hands-on SRE Lead to establish and lead the SRE function, ensuring operational excellence across production systems. Key Responsibilities: • Lead the SRE function across the engineering organisation and drive operational excellence across production systems., • Define and implement the observability and monitoring strategy, including dashboards, alerting, SLOs, SLAs, and error budgets., • Establish comprehensive monitoring coverage to ensure visibility into system health, infrastructure, and business-critical workflows., • Drive adoption of AI-driven tools and automation for proactive system troubleshooting, incident triage, and root cause analysis., • Lead and mentor a team of SRE Engineers embedded within engineering teams., • Manage incident response processes, including on-call management and post-incident reviews., • Collaborate with product and engineering teams to build reliability and observability into new systems., • Monitor UI behaviour and end-to-end system performance, not just infrastructure metrics. Essential Skills & Experience: • Proven experience as an SRE Lead or Senior SRE in large-scale, high-availability production environments., • Strong experience with observability and monitoring tools such as Datadog, Grafana, Prometheus, PagerDuty, or similar., • Experience managing incident response, on-call processes, and post-incident reviews., • Strong understanding of operational tooling for data ingestion and calculation pipelines, with the ability to detect anomalies in system behaviour., • Ability to provide technical leadership and influence engineering stakeholders. Nice to Have: • Experience within financial data pipelines, index calculation, or capital markets systems., • Exposure to AI/ML-based tools for anomaly detection and automated troubleshooting., • Experience monitoring application-layer and UI behaviour, beyond infrastructure metrics., • Experience building SRE practices in a greenfield or transformation environment.

Salesforce Technical Architect (Hands-On) Contract East London (Hybrid) Rate: Negotiable DOE We are supporting a leading organisation operating within a highly regulated environment in their search for a hands-on Salesforce Technical Architect to provide architectural leadership across a complex Salesforce platform serving both internal and external users. This role is explicitly hands-on. It is not a purely advisory or governance-focused position, architecture must be grounded in real, tested solutions, validated through direct implementation. Role Overview As the Salesforce Technical Architect, you will be responsible for defining and shaping the target architecture of the platform, ensuring it aligns with business needs, platform strategy, and regulatory constraints. You will take ownership of architectural decisions from concept through to validation, using hands-on Proofs of Concept (POCs) to test feasibility, performance, and scalability before formalising designs. A key focus of the role is to support the transition of a heavily customised Salesforce org toward more scalable, maintainable, and Salesforce-native (OOB) capabilities, while maintaining performance and compliance standards. Key Responsibilities Architecture & Design Leadership • Define end-to-end Salesforce solution architecture across the platform., • Produce high-quality architecture artefacts, including:, • High-Level Designs (HLDs)& Low-Level Designs (LLDs), • Data models and data architecture, • Integration and security models, • Present architectural designs and decisions to technical and governance forums. Hands-On Validation & Proof of Concepts • Personally design and build POCs to validate architectural approaches., • Use hands-on experimentation to assess technical feasibility, platform constraints, performance characteristics and Risks and trade-offs., • Ensure architecture documentation is backed by proven, working solutions. Governance, Standards & Compliance • Ensure alignment with client governance, security, and regulatory requirements., • Define and enforce architectural standards, guardrails, and best practices., • Review major technical designs, data model changes, and integrations for architectural alignment, downstream system impact and scalability and maintainability. Collaboration & Delivery Support • Work closely with Product Owners, Technical Leads, and delivery teams, • Provide hands-on support during complex delivery phases, releases and deployments and remediation activities, • Balance architectural integrity with pragmatic, delivery-focused decision making Essential Skills & Experience • Strong experience operating as a Salesforce Technical Architect within enterprise-scale environments, • Extensive hands-on development experience, including Apex, Lightning Web Components (LWC), Salesforce configuration and data modelling, • Deep understanding of:, • Salesforce platform architecture, • Service Cloud and Experience Cloud, • Security, identity, and access control models, • Data model remediation and refactoring, • Proven ability to produce clear, high-quality architecture documentation suitable for governance forums, • Strong communication skills, with the ability to explain complex technical concepts to technical and non-technical stakeholders, • Experience working within regulated or audit-heavy environments Nice to Have • Salesforce Certified Technical Architect (CTA), or actively working toward CTA, • Experience supporting large-scale Salesforce transformations or remediation programmes, • Industry experience within financial services or the public sector

Staff Machine Learning Engineer – | 3 Roles | London Hybrid – (2 days) I'm working with a fast-growing, PE-backed SaaS business that has just launched a world-leading AI product — and they're expanding their AI/ML engineering team with three Staff-level hires. All three roles sit on the same product, the same stack, and the same mission. The difference is your specialism. ────────────────────────── 𝟭. Staff SE – Agentic AI Leading the design of multi-agent systems and LLM orchestration patterns. If you've built and shipped complex agentic workflows end-to-end, this one's for you. ▸ LangGraph · Pydantic AI · Agent SDK · LLMOps 𝟮. Staff SE – Information Extraction Owning ML models and pipelines that extract structured knowledge from complex, unstructured documents at scale. ▸ NLP · Document AI · Data Pipelines · Evals 𝟯. Staff SE – MLOps / DevOps for AI Shaping the infrastructure behind model serving, training pipelines, LLMOps, and AgentOps across the full AI stack. ▸ MLFlow · Databricks · Datadog · Terraform ────────────────────────── What all three roles require: • 7+ years in AI/ML engineering, shipping models in production, • 3+ years in a Staff-level or senior technical leadership role, • Hands-on AWS (Bedrock, SageMaker) and/or GCP Vertex AI, • Strong Python; Java or Rust a bonus, • Experience with LLMs, evaluation frameworks, and agentic AI patterns, • Docker, K8s, Terraform, CI/CD, • A collaborative leadership style — mentoring engineers, shaping best practices ────────────────────────── Core stack: Python · Rust · Java · Amazon Bedrock · SageMaker · Vertex AI · LangGraph · Pydantic AI · LangFuse · MLFlow · Databricks · Datadog · Claude Code · Docker · K8s · Terraform · Vector DBs · Graph DBs ────────────────────────── London hybrid (2 days/week) Competitive Salary and benefits Not eligible for visa sponsorship ────────────────────────── Interested? Please apply, or know someone who might be? Drop me a DM

🔥 Who We Are At ___, we relentlessly drive innovation in AI, building the world's leading ___. We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment. Join ___ and help ___. 🌎 Location and Legalities This full-time Solutions Engineer position is based onsite in our brand-new ___ in London, UK, with a hybrid model of 3 days in-office and 2 days remote. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship. 🚀 What You'll Do As a Solutions Engineer at Ultralytics, you will be the technical face of our organization, working directly with clients to architect and deploy computer vision solutions using the ___. Key responsibilities include: • Collaborating with clients to understand their use cases and challenges, architecting end-to-end solutions using ___., • Delivering high-quality technical demos, onboarding sessions, proof-of-concepts, and workshops that demonstrate the power of ___., • Designing annotation strategies and ___ tailored to client data, goals, and deployment constraints., • Debugging client issues and delivering effective solutions with deep understanding of ___, Python, ___, and model behavior., • Supporting pre-sales efforts by participating in technical discovery calls and helping shape proposals and SLAs., • Serving as a key technical advisor during customer engagements, ensuring successful integration and continued satisfaction., • Interfacing with Sales, Marketing, Engineering, and Product teams to advocate for customer needs and influence roadmap priorities., • Acting as a strategic technical advisor to clients, shaping computer vision solutions that drive tangible business outcomes., • Representing Ultralytics at conferences, webinars, and customer events while contributing to technical blog posts and educational materials. Your strategic vision and technical expertise will be essential in supporting ___ of delivering top-tier machine learning tools and models like ___ to the community. 🛠️ Skills and Experience • 5+ years of experience in Computer Vision, Machine Learning, or applied AI roles., • Excellent client-facing skills: patient, resilient, and able to communicate clearly with technical and non-technical stakeholders., • Proficiency in Python and familiarity with the ___., • Hands-on experience with ___, ___, and classical ML/CV concepts., • Strong understanding of end-to-end ___, including data collection, preparation, ___, ___, and ___., • Experience with ___ and comfort working across Linux, macOS, and Windows environments., • Demonstrated ability to teach or mentor teams and developers through courses, bootcamps, workshops, or community engagement., • Comfort leading workshops, writing technical guides, or presenting to developer audiences. 🌟 Cultural Fit - Intensity Required Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our ___. Our ___ thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work-life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI. 💶 Compensation and Benefits • Competitive Salary: Highly competitive based on experience., • Startup Equity: Participate directly in Ultralytics growth and success., • Hybrid Flexibility: 3 days per week in our brand-new office - 2 days remote., • Generous Time Off: 24 days vacation, your birthday off, plus local holidays., • Flexible Hours: Tailor your working hours to suit your productivity., • Tech: Engage with cutting-edge ___ and our ___., • Gear: Brand-new Apple MacBook and Apple Display provided., • Team: Become part of a supportive and passionate ___. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, ___ offers an exceptional career opportunity.

We are building one of the most ambitious AI infrastructure platforms in the market. This is not a traditional cloud or data centre business. We are creating a vertically integrated platform that delivers AI compute at industrial scale by combining power, infrastructure and GPU clusters into a single system. We are now hiring a Chief Delivery Officer to lead this from day one. This role is about execution. You will be responsible for deploying our first GPU clusters into colocation environments and building the delivery model that scales into multi-site AI infrastructure over time. What you will be doing: • Leading the deployment of high-density GPU clusters, • Owning end-to-end delivery across design, build and commissioning, • Defining how AI infrastructure is deployed at scale, • Building and leading the full delivery organisation, • Transitioning from colo deployments to purpose-built sites What we are looking for: • Proven experience delivering large-scale data centre or critical infrastructure projects, • Strong understanding of power, cooling and high-density environments, • Hands-on leadership with a track record of execution, • Ability to operate at pace and build teams from scratch This is a rare opportunity to build the delivery engine behind a next-generation AI infrastructure platform. If you have built and scaled infrastructure at pace and want to do it again at a much larger level, we should speak.

Job Overview The XVA Quant will be sitting within the XVACCR, Collateral & Credit Quantitative Research. The mandate of the quant team is to produce quantitative modelling and innovative solutions for XVA, Counterparty Risk, Collateral and Credit topics. The quant team regularly interacts with a broad scope of internal clients: • XVA and Scarce Resources desk for XVA pricing and modelling, • Risk department for Internal & Regulatory CCR, Accounting XVA, and SIMM, • Collateral desk for discounting, SIMM and IMVA with CCPs, • Trading and Risk Management for Credit derivatives. The quant team closely works with the business to study and assess the models’ behavior and performance. It also plays a significant role in several strategic XVA and RWA projects by producing computational blocks using cutting-edge modelling and implementation techniques to ensure the bank can cope with the increasing list of regulatory measures (XVAVaR, SACCR, FRTB-CVA …) and metrics needed to manage our XVA reserves properly (Optimization modules, Sensitivities with AAD, Machine Learning …). The quant team continuously builds and upgrades XVA libraries and platforms to implement regulatory changes in an optimized architecture. The team is also actively participating in developing the Collateral management platform for CCP and EMIR Initial Margin and working on various FO and Risk systems migration projects, supporting the XVA and Scarce Resources Management and Collateral Management functions. Responsibilities • Define and implement tools and pricing models for Collateral management activity (IMVA-CCP, SIMM …), • Define and implement mathematical tools and pricing models for XVA-linked activity, • Interact and support Trading, RPC and IT partners. Essential Requirements • High programming skills (C++, SQL, C#, VBA …)., • Good knowledge of numerical methods such as: Monte Carlo, Optimisation algorithms, … ., • Recent experience and strengths in most of the following:, • Distributed computing and Inter-process communication, • Multi-threading programming, • Microsoft products: Office, VC++, VBA, • SQL, Access, Oracle, • Web technologies: XML, XSLT, • Strong team orientation, ability to work alone and highly self-motivated, • Able to adapt and learn new technologies quickly, • Results and time oriented, • Excellent analytical and problem-solving abilities, • Creative, can devise and implement multiple solutions, • Good communication skills - both verbal and written, • Previous experience XVA and/or RWA optimisation Who We Are Our Expertise We provide high-impact consulting across five key domains: • Quantitative Finance — Model design, implementation and validation., • Risk & Regulatory — Risk frameworks and regulatory transformation., • Data & AI — Data optimisation and AI adoption with strong governance., • Digital & Technology — Cloud, engineering, automation and digital solutions., • Transformation — Change management and large-scale delivery programmes. Our Commitment Built on excellence, collaboration and innovation, Quanteam partners with clients to strengthen resilience, accelerate transformation and build future-ready capabilities. We are committed to a diverse and inclusive workplace where all individuals are respected and valued. We welcome applicants from every background and uphold equality across all characteristics. Diversity drives innovation and strengthens our ability to deliver exceptional results. Our aim is an environment where everyone can thrive and contribute to collective success.

JOB ROLE : Business Data Analyst -P&C Insurance LOCATION : London, UK EXPERIENCE : 10 + Years We are seeking two experienced Senior Business Analysts to support the Global Specialty Insurance (GSI) Delegated Authority Data Workstream. This role is responsible for driving business engagement, defining landing data requirements, and shaping data standards that enable a unified future operating model for Delegated Authority data intake requirements and workflow across GSI for existing DA partners and devising requirements for new partner onboarding. Working closely with the Senior Data Architect, the role will facilitate cross-BU collaboration to define Contract, Premium/Risk, and Claims data requirements, establish data quality rules, and support the design of scalable partner onboarding and operating models. This is a cross-functional role operating across four core pillars: • Data Model Definition, • Data Quality Rules, • Partner Data Engagement, • Operating Model Design The role is programme-focused and will play a key part in preparing Business Units for future implementation of the GSI Data Intake Target Operating Model. Key Responsibilities 1. Data Model Requirements & Definition • Facilitate business and SME workshops to gather and refine data requirements across Contract, Premium/Risk, and Claims domains., • Support the Senior Data Architect by translating business requirements into clear data definitions, field-level specifications, and business context., • Perform detailed source-to-target analysis, including transformation logic and data interpretation across MGA, TPA, and internal systems and data governance needs., • Develop and maintain business data dictionaries aligned to canonical GSI landing models., • Conduct gap analysis between existing BU data structures and GSI standard models. 2. Data Quality Rules & Standards • Define business validation rules, data quality standards, and rule hierarchies for GSI Delegated Authority data from MGA / TPAs., • Develop validation playbooks to support consistent data intake across Business Units and external partners., • Collaborate with SMEs and governance forums to agree critical data controls, mandatory fields, and completeness expectations., • Ensure business rules support regulatory, financial, and operational reporting needs. 3. Partner Data Engagement • Support discovery and analysis of MGA and TPA data capabilities, formats, and system constraints., • Develop and maintain partner system capability matrix., • Contribute to the design of partner data onboarding playbooks and interface approaches (real-time API and bordereaux)., • Participate in external partner discussions to clarify data requirements and integration expectations., • Provide analysis support for future partner onboarding execution where required. 4. Operating Model & Governance • Support the design and documentation of the GSI Delegated Authority Data Intake Operating Model., • Facilitate SME Councils, BU discovery sessions, and Data Governance forums., • Drive alignment across Business Units to the GSI landing data standards and intake approach., • Document onboarding workflows, roles, and responsibilities across people, process, data, and technology., • Produce discovery outputs to support BU implementation planning. 5. Programme Analysis & Deliverables The role will produce key programme artefacts, including: • Business data dictionaries, • Validation rule catalogues, • Partner capability assessments, • Onboarding playbooks and process documentation, • BU discovery and implementation inputs KEY SKILLS & EXPERIENCE • 8–10+ years’ experience as a Senior Business Analyst in data-centric or enterprise transformation programmes., • Strong experience working with complex, high-volume transactional data (policy, premium, exposure, claims, financial movements)., • Proven experience performing detailed data analysis, source-to-target mapping, and business data definition., • Experience defining data quality rules, validation frameworks, or data governance standards., • Experience engaging directly with external partners, vendors, or third-party data providers., • Strong understanding of delegated authority insurance datasets, bordereaux processes, or equivalent delegated business models (preferred)., • Experience supporting enterprise data model or data standardisation initiatives., • Excellent stakeholder management skills, with the ability to challenge, shape requirements, and drive agreement across senior stakeholders., • Ability to translate complex technical and data concepts into clear business language. Behavioural Competencies • Influence & Alignment – Drives consensus across multiple Business Units and stakeholders with differing priorities., • Strategic Thinking – Understands how detailed data requirements support long-term operating model and regulatory objectives., • Facilitation Leadership – Leads structured workshops and councils to achieve decisions and clarity., • Problem Solving – Diagnoses data gaps, inconsistencies, and operational constraints to propose practical solutions., • Ownership & Accountability – Takes responsibility for delivery of high-quality analysis artefacts and programme outcomes., • Communication – Communicates complex data concepts clearly to both business and technical audiences. Preferred Knowledge • Delegated Authority / Bordereaux environments and formats, • MGA / TPA data integration, • Regulatory environments such as Lloyd’s, Solvency II, or equivalent, • Experience working alongside Data Architects, Data Governance, or Data Engineering teams

Technology Director Location: UK (Hybrid – London / Client Site) Industry: Public Sector – Home Affairs & Justice About the Role Our client, a global consulting firm, is looking to appoint a Technology Director to lead technology transformation across the Home Affairs and Justice sector. This role focuses on helping major government organisations modernise their technology environments and deliver complex transformation programmes. You will work closely with departments across the Home Office, policing bodies, justice agencies, and related organisations that are undergoing large-scale digital and operational change. The position combines business development, technology leadership, and programme oversight. You will shape and win new consulting engagements while maintaining senior involvement throughout delivery. Programmes typically include digital transformation, enterprise platform implementation, cloud adoption, and large-scale IT modernisation initiatives. Demand across this part of the public sector continues to grow as organisations invest heavily in technology capabilities to support modern digital services, operational efficiency, and data-driven decision making. What You’ll Be Doing • Leading the development and sale of technology-enabled transformation programmes within the UK public sector, particularly across Home Affairs and Justice organisations., • Building and maintaining senior stakeholder relationships across departments including the Home Office, policing bodies, the National Crime Agency, the Ministry of Justice, HMCTS, and related organisations., • Shaping large-scale programmes involving cloud platforms, enterprise applications, digital services, and complex IT system implementation., • Working with partners and technical specialists to design end-to-end transformation solutions using best-of-breed technologies., • Supporting clients to modernise technology estates, reduce operational complexity, scale services, and improve digital capabilities., • Leading opportunities through the full lifecycle from early market engagement and opportunity shaping through to successful delivery., • Acting as a trusted adviser to senior government stakeholders and executive leadership teams. Ideal Background • Demonstrated experience selling and delivering complex technology transformation programmes within the public sector., • Established network and experience working with Home Affairs or Justice organisations such as the Home Office, policing bodies, MoJ, HMCTS, or similar agencies., • Strong understanding of enterprise technology environments including areas such as:, • Cloud platforms including AWS, Microsoft Azure, and Google Cloud, • Emerging technologies such as AI and automation, • Enterprise applications including SAP, Oracle, Salesforce, and Workday, • Integration architectures including APIs, microservices, and container-based platforms, • Data and cloud ecosystems across large enterprise environments, • Experience advising CxO-level stakeholders and senior boards on technology strategy and transformation delivery., • Proven ability to build pipeline, shape consulting propositions, and lead multidisciplinary delivery teams., • Strong knowledge of the technology vendor landscape and partner ecosystem., • Experience across areas such as IT strategy, operating model transformation, cloud migration, enterprise architecture, and large-scale programme delivery. What You’ll Receive • Base Salary: Up to £150,000, • Allowance: £7,000, • Bonus: Performance-related bonus based on an internal ratings system rather than a fixed percentage., • Holiday: 25 days annual leave plus bank holidays., • Benefits: Private medical cover, pension scheme, and life assurance., • Working Pattern: Hybrid working split between office, home, and client sites. Who Should Apply This role is suited to senior consulting leaders with strong public sector networks and deep experience delivering technology transformation programmes. If you have built credibility with senior government stakeholders and have a track record of shaping and delivering complex digital and technology change, this role offers the opportunity to lead high-impact transformation initiatives across one of the most strategically important areas of the UK public sector.

• Job Title: Senior Python Software Engineer, • Salary Range: £80,000, • Location / Working Model: UK (remote-first) A Senior Python Software Engineer is needed to join an international advanced analytics data company. Our client is a specialist technology business delivering sophisticated modelling and optimisation tools that help organisations make smarter commercial decisions. You’ll join a collaborative, international team where engineering excellence and mathematical rigour sit at the heart of everything they do. The environment is intellectually stimulating, with real ownership, modern tooling (such as Pandas, SciPy, NumPy), and the chance to work on complex, meaningful challenges at scale. The Senior Python Software Engineer will design and build high-performance analytics modules that power advanced modelling and optimisation capabilities. Role Highlights • Develop scalable Python modules for analytics and optimisation, • Implement advanced algorithms for forecasting and modelling, • Process large datasets to deliver high-performance solutions, • Own key components of the platform and drive improvements, • Collaborate with global teams across engineering and analytics You Will Need • 5+ years’ Python development experience, • Strong mathematical or statistical modelling background, • Experience building production-grade analytical software, • Knowledge of tools such as Pandas, SciPy, NumPy, SQL and cloud platforms with tools such as Kubernetes and Docker. Why You’ll Love It • Flexible hybrid or fully remote working options, • Opportunity to shape a global analytics product, • Work alongside highly skilled international experts, • Ongoing learning, conferences, and development support If you have the right Python & Analytical (Maths) background for this interesting and challenging Python Software Engineering role please apply with a copy of your CV ASAP.

Reward Gateway | Edenred, is a global leader in benefits and employee engagement. We help businesses attract, engage, and retain top talent through strategic rewards, recognition, and well-being solutions. Guided by our shared missions of ‘Making the World a Better Place to Work’ and ‘Enriching Connections, For Good’, we are committed to transforming workplaces and improving people’s daily lives. As we continue to expand our business, we have an opportunity for a hands-on AI Engineer who is excited about turning real-world challenges into smart, scalable solutions. You will work with the latest third‑party AI services, build streamlined workflows and craft high‑impact prompts that boost our internal tools, speed up developer productivity and elevate the customer experience. You will work closely with Product, Operations, and Engineering teams to turn ideas into practical solutions and contribute to improvements across the platform. Key Responsibilities • Build and deliver production‑ready AI and Generative AI solutions using LLMs, RAG architectures, agents, and responsible AI practices., • Use AI coding assistants such as Cursor, GitHub Copilot, and Claude Code to accelerate development while maintaining ownership of outcomes and documenting best practices and repeatable patterns., • Manage cloud infrastructure and platform operations, including AWS, Kubernetes, CI/CD pipelines, Terraform, monitoring, performance optimisation, and cost control., • Design, develop, and maintain backend services in Python, and contribute to React, TypeScript, and PHP codebases when required., • Lead evaluation and iteration cycles, including defining and tracking offline and online metrics, running A/B tests, meeting latency and cost targets, implementing human‑in‑the‑loop validation, and ensuring robust observability., • Implement and maintain retrieval pipelines using embeddings, vector databases, hybrid search methods, and effective chunking strategies., • Collaborate closely with Product using a working‑backwards approach, producing technical designs, breaking down work, and delivering iteratively., • Improve internal AI development tooling, including shared libraries, SDKs, and reference implementations for RAG, tracing, prompt management, and evaluation., • Contribute to internal enablement and capability‑building activities across the organisation., • Partner with Security, Legal, and Data teams to define AI policies, review risks, and ensure privacy, PII protection, and regulatory compliance., • Mentor peers, conduct code reviews, and share knowledge to elevate engineering standards across the organisation. Skills, Knowledge and Expertise • Proven experience in shipping production‑grade AI solutions., • Applied AI expertise across LLMs, RAG, agentic workflows, prompt engineering, embeddings, vector databases, hybrid search techniques, and effective chunking strategies., • Strong Python as a primary language, with solid testing practices and CI/CD experience; able to contribute when needed in React, TypeScript, and PHP or Node.js., • Cloud and platform engineering skills, including AWS, Kubernetes, Docker, infrastructure as code, and modern observability tooling., • Hands‑on experience with leading LLM providers such as Anthropic, Claude and OpenAI, with the ability to evaluate additional model providers and approaches., • Familiarity with LLM tooling ecosystems such as LangChain or LlamaIndex, agentic AI frameworks, vector stores, tracing and logging tools, prompt management platforms, and evaluation frameworks., • Strong data engineering capabilities, including dataset creation and validation, ETL development, SQL schema design, and the definition and tracking of meaningful product and model metrics., • Solid understanding of ML fundamentals and experimentation, including metric design, error analysis, model selection, and performance tuning., • A strong security and governance mindset, with the ability to communicate clearly with both technical and non‑technical audiences, and a high level of ownership from discovery through production and iterative improvement. The Interview Process • Online interview with the Talent Partner and the Director of AI Engineering, • Technical interview with Director of AI Engineering, VP of Product Engineering, and VP of Product At Reward Gateway | Edenred, we are committed to ensuring an inclusive and accessible recruitment process for all candidates. If you have any specific requirements or need reasonable adjustments at any stage of the recruitment journey, please let your Talent Acquisition Partner know. Your needs are important to us, and we want to ensure an equitable experience for every candidate.

Are you passionate about building real, production‑grade AI systems—not just prototypes or research models? We’re partnering with a fast‑growing, well‑funded AI‑native consultancy that delivers enterprise‑scale AI solutions to major organisations across Financial Services, Energy, Healthcare, Retail, and Manufacturing. Working alongside global partners such as Anthropic, Databricks, AWS, OpenAI, and Microsoft, the team focuses on designing and deploying advanced AI systems that solve complex real‑world problems with speed, clarity, and measurable impact. As part of their expansion, we are looking for experienced AI Engineers who can build robust, scalable applications powered by large language models. The Role As an AI Engineer, you will design, build, and deploy production‑grade LLM‑powered systems. This role sits at the intersection of software engineering, AI implementation, and agentic orchestration. You will work on: • Multi‑agent architectures, • Intelligent tool and API integrations, • RAG pipelines and vector‑based retrieval, • Evaluation frameworks and AI observability Key Responsibilities • Build production AI systems using LLMs, RAG pipelines, vector databases, and agentic frameworks, • Design evaluation and observability frameworks to measure performance, accuracy, and reliability, • Develop clean, scalable applications with proper error handling, APIs, and data pipelines, • Implement and maintain retrieval systems (vector/graph databases, ingestion pipelines, chunking strategies, advanced retrieval methods such as HyDE), • Integrate feedback loops to improve system behaviour over time, • Craft effective prompts and optimise latency, cost, and output quality across multiple model providers, • Hands‑on experience building applications using LLM APIs, • Deep understanding of model capabilities, limitations, and failure modes, • Practical experience with RAG, vector databases, knowledge graphs, and prompt engineering, • Experience building multi‑step LLM workflows and agentic systems (e.g. LangChain, LangGraph, Claude Agents SDK, Strands, or custom frameworks), • Strong proficiency in Python (or similar language) and developing production APIs/services, • Cloud experience with AWS, GCP or Azure, • Solid understanding of distributed systems, CI/CD, testing frameworks, and deployment pipelines, • Experience designing or operating cloud‑native, production‑grade infrastructure, • Strong data manipulation skills (Pandas, SQL), • Experience with AI‑assisted coding (Claude Code, GitHub Copilot, etc.), • Experience fine‑tuning LLMs or deciding when to use fine‑tuning vs RAG/prompting, • Exposure to streaming, multimodal models, or search technologies (Elasticsearch, etc.), • Familiarity with observability tools (LangSmith, Weights & Biases), • Experience in regulated or industry‑specific environments (finance, energy, healthcare, legal, retail), • A fast‑growing organisation with significant opportunities for career progression, • Highly competitive salary + bonus, • A collaborative, engineering‑driven culture where you’ll make an impact from day one, • Financially strong, well‑backed business with global expansion plans, • Choose your own gear (MacBooks, PCs, accessories), • Dedicated learning & development budget

Locations: London | Lisbon Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do As a Global Benefits Manager, you will support the delivery and continuous improvement of BCG’s employee benefits programs across multiple regions. The role focuses on the operational, analytical, and coordination aspects of insured benefits, including health, life, disability, and business travel accident coverage. You will contribute to consistent, compliant, and employee-focused benefits solutions by working closely with the Global Benefits Centre of Expertise. You will partner with colleagues across HR, Finance, Procurement, and external vendors to support renewals, analyze benefits data, and improve processes. Your work will help ensure benefits programs remain competitive, well-governed, and aligned with BCG’s broader people strategy. • Support the ongoing management and periodic review of insured benefits programs across regions, • Conduct benefits benchmarking and cost analysis to inform plan design and renewal decisions, • Assist with the review of insurance contracts and plan documentation, focusing on value, risk, and clarity, • Coordinate with brokers and insurers during renewals, ensuring accurate data submission and analysis, • Analyze claims and utilization data to identify trends and support health and wellbeing initiatives, • Partner with regional and local HR and Finance teams on benefits administration, cost questions, and issue resolution, • Contribute analytical and operational input to global and regional benefits initiatives, • Support the use and optimization of the MyBenefits platform through testing, content updates, and feedback, • Identify opportunities to streamline processes and standardize benefits documentation across countries, • Help ensure alignment with global governance standards and local regulatory requirements What You'll Bring • Six or more years of experience in benefits management, broking, or benefits consulting, • Working knowledge of insured employee benefits and insurance market practices, • Experience reviewing plan documents and working with brokers or insurers, • Strong analytical skills, including Excel-based analysis and PowerPoint presentations, • Comfort working in a global, matrixed environment with multiple stakeholders, • Exposure to digital benefits platforms and interest in technology-enabled solutions, • Additional language capability is a plus Who You'll Work With • The Global Benefits COE team to support more senior COE team members, contribute insights and drive shared goals., • Benefits brokers and vendors to coordinate plan updates and issue resolution., • Global, regional, and local HR and Finance teams on implementation and problem-solving. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.\n BCG is an E - Verify Employer. Click here for more information on E-Verify.

About This team is building the representation layer for how companies operate. They acquire sticky B2B software businesses and plug them into a shared AI operating system. The challenge is turning fragmented, messy data across systems (CRM, billing, product, support, contracts) into clean abstractions that software can reason over. Think: modelling how a company actually works – then using that layer to drive predictions, workflows, and eventually autonomous actions. The engineering team is small (~5 today, scaling to ~15 ASAP). They’ve built maybe 3–5% of what the final system will become. Most of the core architecture, abstractions, and technical decisions are still ahead. The founding team has an exceptional track record (including a prior multi-billion exit), and the business is already generating significant revenue across its portfolio. The work is 0→1, with immediate impact. What you'll do • Build the core systems that ingest, structure, and model multi-source enterprise data, • Design abstractions that unify different schemas, workflows, and business logic, • Work on AI-native workflows (LLMs, agents, internal tooling) on top of that representation layer, • Ship production systems end-to-end across backend and product surfaces, • Make trade-offs between speed and long-term architecture in a fast-moving environment, • Work directly with product and commercial teams on high-impact problems Stack • Backend in Ruby, Python and Rust, • Frontend in TypeScript / React, • Heavy use of AI coding tools (Claude Code, Cursor, etc.) The stack will evolve – they care more about how you think than what you’ve used. What you'll need • Strong engineering fundamentals (language-agnostic), • Experience building production systems with real users and data, • Solid understanding of system design, data modelling, and APIs, • Ability to operate in ambiguity and break down complex problems, • Product mindset and high ownership Shortlisted candidates will be contacted within 48 hours.

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 Ensuring Accurate, Complete and Timely 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 45 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. 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. Senior Onboarding Engineer Job Overview: As Novatus Global continues to grow and expand, we are looking to add an experienced Senior Onboarding Engineer to our onboarding engineering team. This role is critical to the successful implementation of the En:ACT platform for our clients. The successful candidate will work closely with clients, product teams and internal stakeholders to onboard new institutions onto the platform, translate complex data requirements into scalable technical solutions, and ensure high-quality delivery across implementation projects. This is an excellent opportunity for an experienced engineer who enjoys solving complex data problems, working directly with clients, and contributing to a fast-growing technology platform within a dynamic and forward-thinking organisation. Responsibilities: • Lead technical onboarding and implementation projects for new clients adopting the En:ACT platform., • Design and build data ingestion and transformation pipelines in Python for large-scale financial datasets., • Improve reliability and performance of the onboarding data pipeline through automation, testing and observability., • Mentor team members and continuously improve team processes., • Champion AI tooling adoption across the engineering team, helping establish norms for AI-assisted development., • Collaborate with business analysts, implementation managers and client technical teams to understand client data and reporting requirements. Required Experience: • Strong software engineering fundamentals including OOP, clean code, automated testing, CI/CD and observability., • Fluent in python and the python data ecosystem (e.g. pandas)., • Experience building large and complex data pipelines in regulated or high-integrity environments., • Solid fundamentals in data modelling, SQL and database design., • Ability to work effectively with a high degree of autonomy and accountability., • Comfortable translating regulatory requirements into technical specs with non-engineering stakeholders. Beneficial Experience: • Experience working with AWS-based data infrastructure., • Experience with modern data platforms such as Spark, Databricks or Snowflake., • 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.

About Persistent: We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem. Our disruptor’s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 21 sequential quarters of growth with $389.7M in Q1 FY26 revenue, up 3.9% Q-o-Q and 18.8% Y-o-Y growth. Our 25,000+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We have been named the fastest-growing Indian IT services brand in the “Brand Finance India 100” 2025 report. We were also cited as a Leader in the ISG Provider Lens™ 2025 for Digital Engineering Services 2025 and the Everest Group Talent Readiness for Next-generation Application Services PEAK Matrix® Assessment 2025 About Position and details: • Role: Senior Power BI Architect, • Location: 37 Clarendon Road, Watford, • Hybrid: 2 days to office, • Job Type: Permanent role We are looking for a highly skilled Senior Power BI Architect to lead the design, development, and optimization of enterprise-scale BI solutions. This role requires deep technical expertise in Power BI, data modeling, and performance tuning, especially for large and complex datasets. The ideal candidate will be proficient in tools like DAX Studio, Tabular Editor, and Azure-based data services. Key Responsibilities: • Architect and implement scalable Power BI solutions for enterprise reporting., • Lead the BI roadmap: consolidation, migration, and modernization (e.g., SSRS/Excel to Power BI; on-prem to AWS Glue + Amazon Athena + Amazon Redshift + Amazon QuickSight)., • Design and optimize complex data models using Tabular Editor and DAX Studio.  Manage and optimize very large datasets (VLDB) for performance and scalability., • Collaborate with business stakeholders to gather requirements and translate them into technical solutions., • Lead performance tuning, including DAX optimization and query diagnostics., • Ensure data governance, security, and compliance across BI platforms., • Mentor junior BI developers and enforce best practices., • Expert-level proficiency in Power BI, DAX, Power Query, and data modeling., • Strong experience with DAX Studio and Tabular Editor for performance tuning and model management., • Proven ability to manage and optimize very large datasets in Power BI and Azure., • Solid understanding of SQL, ETL processes, and data warehousing., • Familiarity with Azure Synapse, Data Lake, and Analysis Services (AAS/SSAS)., • Competitive salary and benefits package, • Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications., • Opportunity to work with cutting-edge technologies., • Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards, • Annual health check-ups “Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”