Lead Tembo’s platform, reliability, and cloud infrastructure across AWS and Azure environments. You will work hands-on with Terraform, CI/CD pipelines, and infrastructure as code, maintaining systems for mortgage, savings, and operational platforms that support homeownership products. This director-level individual contributor role shapes infrastructure strategy, operational resilience, and production operations.

Lead the Integrations team connecting Yuno’s payment platform to PSPs and gateways globally. You’ll work with Java, Golang, Kotlin, SQL, microservices, event-driven architectures, APIs, and AI-assisted coding tools like Claude Code, shaping scalable, secure payment infrastructure.

You will lead a 10-developer team, working primarily with C++ in the graphics, scientific, and engineering computing space, while overseeing the development roadmap and activities. You will also apply Scrum Master experience to facilitate agile processes, reporting directly to the Managing Director.

Checkout.com★3.8 (15)· London

Senior Engineering Manager leading the Disputes team, which builds tools, services, and machine learning models to help merchants manage and win chargeback disputes at scale. The team owns a full stack centered on .NET / C#, React and TypeScript front ends, Python-based ML, and event-driven microservice architectures.

Lead Azure/AKS and Terraform cloud infrastructure, build CI/CD pipelines and observability, and drive SOC 2/ISO 27001 compliance for Model ML, an AI platform serving global banks and private equity. As Head of Platform Engineering, you will scale the platform team from 3 to 9 engineers by 2026.

A Senior Engineering Manager at Plentific Ltd will lead multiple engineering teams, providing architectural guidance and overseeing complex system designs. The company builds innovative platforms to serve its expanding user base. No specific technologies, tools, or team size are mentioned.

Lead the data ontology and risk model stack for a fintech securitizing industrial robotics assets, using SQL and Python to automate deal intake and underwriting. You will own the end-to-end finance product, building decision-support tools with AI and machine-readable contract primitives.

FDJ UNITED★4.0 (96)· London

You'll lead a DataOps/MLOps team building an ML platform and data operations capability for FDJ United's Sportsbook, working with AWS, Terraform/CloudFormation, Spark, Kafka, and CI/CD pipelines for end-to-end ML lifecycle management. The role involves establishing best practices, monitoring, and governance while collaborating with Data Engineering, ML Engineering, Quants, and Data Science teams to personalize customer experiences and manage risk.

Data Engineering Manager role at Wise, leading the Treasury Global Liquidity team to build a real-time liquidity observability stack, monitoring systems, and automated investment/risk tooling with machine learning for cash forecasting. You'll work with event-driven distributed systems, partner with Data Scientists and stakeholders, and mentor engineers across diverse domains.

Manage a field application engineering team at Siemens EDA, using hardware emulation, FPGA prototyping, DFT (scan, ATPG, MBIST/LBIST), and power-aware verification (UPF/1801). The team drives technical sales and customer engagements for the hardware-assisted verification portfolio.

You will work with Python, SQL, PostgreSQL, Snowflake, Kafka, Airflow, Django/Flask/FastAPI, and practice TDD, BDD, and pair programming. As a principal individual contributor, you build and expand the data pipeline and event streaming infrastructure powering Europe’s largest equities exchange. You mentor engineers across Europe and the US within a small, highly skilled team.

Microsoft★4.2 (9k)· London

Manage a team of Security Solution Engineers advising customers on Microsoft Security solutions including Defender XDR, Microsoft Sentinel, Microsoft Entra, and Microsoft Purview. The team supports customers in evaluating applications, recommending tailored solutions, and demonstrating technologies to win technical decisions.

Lead 6-7 engineers on core ML infrastructure for a systematic quant fund: distributed model training, LLM hosting/fine-tuning, and scalable deployment. Use Python with working knowledge of C++/Java. Own technical direction for real-world, high-stakes systems.

You will manage a team of software engineers using TypeScript, Node.js, and modern cloud infrastructure. The squad scales from 2 to 10 people on a profitable food-tech marketplace platform. You will own delivery, recruitment, and technical strategy as the first engineering manager.

Engineering Manager for the Data Platform at The Stepstone Group, a global job platform with over 20 brands across 30 countries. The role involves using data, platform, and technology to create fair and equitable job matches for jobseekers and companies.

Manage the SAIL platform built with AWS, Kubernetes, Python, and infrastructure-as-code tools, enabling clients to control and leverage data through ML solutions embedded into business processes. Lead and mentor a squad of 4-6 engineers.

You will work with Python, dbt, Airflow, and AWS to architect and build a modern data platform from scratch for a fast-growing PropTech business. You will set engineering standards, define the long-term data strategy, and partner with senior stakeholders to embed data into commercial decisions. Future hiring is planned to establish and lead your own team as the platform matures.

You will work with TypeScript, GCP, and AI agentic systems. This venture-backed legal AI start-up, already generating £6M ARR, is scaling its product. You will initially be hands-on, then grow the engineering team from 4 to over 20 engineers.

Hands-on Head of Data Engineering role building scalable data platforms on Azure, using SQL and Azure Data Factory, for a private equity backed financial services platform. The position supports technology modernisation and M&A activity after a recent acquisition, engaging with wider leadership and teams.

Work with AI platforms (LlamaIndex, HuggingFace, Claude Code), Python, SQL, Excel, GitHub, AWS, data visualisation (Graphext, Tableau) and digital listening tools (Brandwatch/Talkwalker/Meltwater). Lead complex data and communications programmes for FTI Consulting’s Digital & Insights practice, serving FTSE 100 clients on corporate reputation strategies. Part of global leadership group, guiding other data scientists.

Ralph Lauren★3.8 (3.6k)· London

This role heads Ralph Lauren's global Customer AI & Data Science organization, using machine learning, predictive modeling, recommendation systems, causal inference, experimentation, and MLOps. The team drives AI-powered personalization and customer intelligence across the company's premium lifestyle brands. It leads a world-class global team, though no team size is stated.

Lead a security team in a modern Microsoft/Azure environment, engineering controls across M365, IAM, PAM, AD, SIEM/SOAR, EDR/XDR, DLP, and vulnerability management. Own the enterprise security roadmap, drive incident response and threat detection, and integrate DevSecOps for a technology-driven insurance organization.

You'll work with Python, SQL, data modelling

You will use Python, R, machine learning, NLP, and AI tools to lead a data science team at BIT. The company designs evidence-based policy and services through RCTs, quasi-experiments, and advanced techniques like predictive modelling and agentic AI for social impact.

Build and lead a greenfield platform team, architecting Azure/AKS, Kubernetes, and Terraform environments. This company builds AI automation for financial institutions, replacing manual workflows at global banks and private equity firms. You will own end-to-end cloud strategy, CI/CD, observability, and drive SOC 2/ISO 27001 compliance.