JPMorgan★3.9 (20k)· London

Cisco VPN infrastructure, Cisco ASA, ISE, CSM, Firepower/FDM, FTD/FMC, SASE, ZTNA, routing (BGP/OSPF/EIGRP), security protocols (IPsec/SSL/TLS/RADIUS/TACACS+), and automation tools (Ansible, Python, NSO, DNA Center, Terraform, Prime Infrastructure). You will design, implement, and operate enterprise VPN services enabling secure remote connectivity for the global workforce within the End User Compute organization at JPMorgan Chase.

You'll work with Microsoft Fabric, PySpark, Python, T-SQL, DAX, Infrastructure as Code, Git, and Azure DevOps. You'll design, build, and maintain data pipelines, lakehouses, and data warehouses within Fabric to drive business intelligence and analytics.

You will work with REST APIs, FIX protocol, JSON, SQL, command-line tools, and Python scripting to lead technical implementations and connectivity integrations for institutional clients. The role manages end-to-end onboarding of exchanges, liquidity providers, and clients onto Talos’ institutional-grade digital asset trading platform, handling platform configuration and troubleshooting. This is an implementation-focused role, not production support, requiring 3+ years of capital markets or fintech experience.

You’ll build and ship user-facing apps primarily on Databricks Apps, using React, Vue, or Angular, and integrate with REST/GraphQL APIs served by the Data Science team. You are the technical lead on a team migrating from Power BI to custom applications, owning the full lifecycle while mentoring engineers on DevOps practices like Git and CI/CD.

Version 1★3.9 (39)· London

Technologies include AWS security services, Python, Terraform/CloudFormation, and GitLab CI/CD. You embed within a large-scale cloud migration programme moving workloads to AWS, designing, automating, and enforcing security controls throughout the migration lifecycle.

Wise★3.5 (42)· London

You will build scalable systems for business onboarding and verification using Java or JVM languages, Spring framework, JDBC, and relational/non-relational databases with CI/CD pipelines and distributed systems. This engineering team owns end-to-end projects to automate verification, create flexible onboarding journeys, and manage compliance risks for Wise’s money-moving platform across Europe and the UK.

Lead Azure, AWS, Entra ID, Boomi, and ServiceNow-driven platform engineering across Inizio's corporate IT estate. Oversee architecture, cloud enablement, and a Centre for Enablement model, managing 3–5 senior engineers and architects. Set technical direction, govern standards, and drive reusable patterns, landing zones, and CI/CD automation.

This DevOps Manager will lead and develop a DevOps team, working with Kubernetes, Terraform, containerization, CI/CD, cloud platforms, and IaC to deliver stable, scalable platforms and infrastructure across multiple projects. The role owns delivery plans for cloud and infrastructure initiatives and collaborates with Product, Engineering, QA, Security, and the Head of Platform.

Uses SQL, Python or scripting, BI tools like PowerBI/Looker/Tableau, spreadsheets, and Git to investigate fraud and build dashboards. The role sits in fraud analytics at Moniepoint, an all-in-one financial services platform powering POS transactions and banking across Nigeria and emerging markets.

Intercontinental Exchange★3.2 (156)· London

This is a senior product development role at ICE Data Indices in London, where you will design custom equity and commodity index methodologies using Python, advanced Excel, and the ICE Index Platform. You will engage directly with institutional clients and collaborate with quant and development teams to implement and validate indices. The role requires deep knowledge of equity and commodity index construction, including factor-based, ESG, and thematic approaches.

Expleo Group★2.9 (211)· London

Lead D365 technical design and hands-on development using C#, Vue.js, PowerApps, LogicApps, and Azure Cloud. Deliver and integrate enterprise-level Dynamics 365 solutions, mentor junior developers, and enforce coding standards.

You'll work with JavaScript, Node.js, Express, React, and MongoDB/Mongoose to set technical direction and oversee AI-assisted content-creation features. As Fractional Head of Product at StoryTerrace, you'll own the roadmap for two B2C platforms—an established product and a new self-serve app—directing one Full Stack Developer and advising on hiring. This role reports to the CEO and requires hands-on coding experience to unblock development.

You will work with REST APIs, Webhooks, SSO/SAML, Postman, and iPaaS platforms (Workato, Boomi, Zapier, Make). You will design and implement custom integrations between Rocketlane and systems like NetSuite, Salesforce, and Workday, and assist with data migration strategies. This is a blended customer-facing consulting and engineering role at a SaaS company focused on customer onboarding and professional services automation.

Rocketlane seeks a Customer Engagement Manager to own end-to-end delivery of complex enterprise implementations, working with REST APIs, webhooks, OAuth, SAML, SSO, NetSuite, Salesforce, Workday, SAP, and iPaaS platforms like Workato and Boomi. The role leads 3–5 concurrent enterprise accounts through kickoff to go-live, designing integrations and driving project governance for a SaaS company focused on customer onboarding and professional services automation.

Trayport★4.2 (5)· London

You will work with AWS (VPC, EKS), Azure (AKS, AKV), Terraform, Kubernetes, CI/CD, and AI tools (Copilot, LLMs). You will design, build, and operate the infrastructure for a global trading platform, leading AI adoption to automate operations and reduce toil. This role is 70% hands-on engineering and 30% technical leadership, mentoring the Platform and Operations teams.

JELLYFISH★3.5 (32)· London

The role focuses on building and extending an agentic delivery stack using tool APIs, MCP servers, AI harnesses, agentic operating systems, and Python. You will drive agentic delivery and adoption both inside Jellyfish, a global digital marketing agency, and with its enterprise clients. This is a 4-month fixed-term contract.

AXA★3.9 (2.9k)· London

This senior executive leads AXA XL's Technology & AI function, owning product engineering, platforms, cloud, architecture, and IT operations. The role covers agile delivery, microservices/API architectures, DevSecOps/CI/CD, cloud-native engineering, SRE, observability, and embedded AI, overseeing major transformation programs and the technology budget.

PlayStation★3.8 (164)· London

This role involves working with TensorFlow or PyTorch, Python, and libraries for computer vision and graphics. As part of the Visual Computing Group (VCG), you will develop generative models to advance game rendering and live video streaming through neural networks and machine learning R&D.

Work with Python, PyTorch, JAX, CUDA, Docker, Kubernetes, Slurm, Ray, and Linux on GPU computing. The Molecular Intelligence team builds ML and physics-based infrastructure for drug discovery, including biophysics, chemistry, cofolding models, simulation workflows, and agent-usable scientific pipelines.

Work with Python, RDKit, Biopython, OpenMM, MDAnalysis, and open-source computational chemistry workflows for docking, virtual screening, SAR, QSAR, ADMET, and cheminformatics. You will guide and evaluate AI-driven drug discovery workflows, ensuring agent-generated optimization plans and modeling are chemically sound, and lead computational chemistry strategy on active drug programs when needed.

Relay Technologies★2.0 (9)· London

At Relay Technologies you will build and own time-series forecasting models for parcel volume, inbound international volume, and parcel size/weight, using Python and ML frameworks. You will work on the Network squad’s demand-forecasting engine that predicts parcel movement across sortation, middle-mile, and last-mile operations, directly affecting cost per parcel. This is a hands-on individual-contributor role, serving as the technical anchor for Demand Forecasting, collaborating with a Senior Data Scientist, ML Engineer, and Analyst.

You will work with Python, SQL, BM25, vector search, reranking, RAG, and agentic systems to own and evolve Corestream, Kharon’s risk intelligence feed that surfaces entity-level insights and risk narratives for customers in global security, sanctions, and financial crimes.

Python, SQL, BM25, vector search, reranking, and RAG pipelines powering agentic systems. You will own and evolve Corestream, Kharon’s risk intelligence feed, redesigning semantic search and narrative generation for global-security insights.

Build and deploy AI agents for geopolitical and financial risk intelligence, working with Python, SQL, RAG pipelines, BM25, vector/hybrid retrieval, APIs, Docker, Kubernetes, GitHub Actions, and AWS services like RDS, EKS, and S3. Kharon provides risk-analysis tools for global financial institutions and multinationals, covering sanctions, export controls, and threat identification.

Work with Python, SQL, graph databases, graph ML, Docker, Kubernetes, and LLMs. Own and evolve Kharon's risk propagation engine that analyzes entities in a knowledge graph to surface risk signals for global security clients.