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.

Medicines and Healthcare products Regulatory Agency★3.8 (26)· London

You will work with Azure cloud platforms and services (compute, storage, networking, identity management), Azure DevOps, PowerShell, Azure CLI, Active Directory, and RBAC. The Clinical Practice Research Datalink (CPRD) provides anonymised NHS data for research, supporting observational studies and clinical trials. As an Infrastructure Operations Engineer, you maintain secure, resilient Azure infrastructure for these research environments.

Medicines and Healthcare products Regulatory Agency★3.8 (26)· London

The Infrastructure Operations Engineer will work with Microsoft Azure cloud services, Azure DevOps, PowerShell, Azure CLI, Active Directory, and RBAC. The role supports the Clinical Practice Research Datalink, which provides anonymised NHS data for health research. They will maintain secure, resilient cloud infrastructure and IT systems within the Safety and Surveillance group.

Design, build, and optimize analytics solutions using SQL, DBT, Power BI (DAX, RLS), GitHub, and cloud platforms (Snowflake, BigQuery, Databricks, Fabric). You will drive data-driven marketing insights for enterprise clients, architecting data models and leading test-and-learn programs. The role also involves mentoring junior team members.

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.

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.

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.

Architecting Sitecore solutions (XP/XM, SitecoreAI, Content Hub, Search, CDP, Personalize, Stream) with Next.js, React, TypeScript, Azure, microservices, APIs, and DevOps. You lead technical delivery for client projects at a digital transformation firm, removing blockers and creating blueprints for delivery teams.

HCLTech★3.7 (11k)· London

As Java Technical Lead, you will lead a team of developers designing and implementing RESTful web services using Spring Boot, with microservices, Docker, and Kubernetes. Your role involves overseeing architecture, code reviews, and mentoring for HCLTech’s Java/J2EE application projects.

HarbourVest★3.1 (16)· London

This role involves productionizing Data Science and AI prototypes using Python, containerized or cloud-based delivery, Snowflake, Power BI, Git, and CI/CD pipelines. You will design analytics workflows and support legacy solutions, partnering with global teams to bridge raw data and analytics-ready assets at HarbourVest, a private markets investment firm.

Sunlighten UK & Europe★2.0 (1)· London

You’ll work with Five9 (or comparable contact-center platforms), Salesforce Sales/Service Cloud, REST APIs, Zapier, and possibly JavaScript, Python, or .NET to build IVR, dialer, lead-routing, live-chat, and SMS integrations. The role owns Sunlighten’s UK omnichannel customer-engagement platform, connecting customers with Sales and Customer Care across voice, digital, and messaging channels. No team size is stated.

Moody's★3.6 (589)· London

Lead validation of credit rating models and AI model risk management at Moody's, working with R, Python, MATLAB, SQL, and preferably C++. The MRG Quantitative Review team independently validates quantitative models and scorecards supporting credit ratings, with a focus on Generative and Agentic AI risks. Requires 10+ years in model development, validation, and risk analytics.