Top Python Jobs in London

Deliver and support healthcare system integrations across the full project lifecycle, including discovery, design, interface development, testing, deployment, go-live, documentation, and operational handover. Develop healthcare interfaces using Mirth Connect and standards such as HL7 v2, REST, JSON, and XML. Diagnose integration issues using logs, code, databases, APIs, and configuration. Collaborate with customers, project teams, suppliers, and internal stakeholders while contributing to reusable integration patterns, code-first practices, peer reviews, and support activities.

Design, deploy, operate, and continuously improve Kubernetes-based AI infrastructure. Responsibilities include managing Linux systems, bare-metal servers, data-centre infrastructure, NVIDIA GPU workloads, infrastructure automation, security access, platform governance, troubleshooting, documentation, customer and vendor collaboration, and on-call operational support.

Conduct fundamental research across equity and debt capital structures in emerging, frontier, and developed markets. Build and maintain financial models, screen investment opportunities, monitor portfolio assets, manage private investments and restructurings, engage company management and industry experts, and travel to conferences and company visits to support portfolio managers and traders.

Lead planning, creation and delivery of index research content for UK and DACH markets. Produce thought leadership, market commentary, and client-facing articles; collaborate with editorial, marketing and sales; oversee research process, distribution and performance review to elevate VettaFi's index authority in Europe.

First dedicated security hire to build Wexler's security program across infrastructure, product, and compliance. Own tooling, embed secure-by-design practices, run risk assessments, maintain ISO 27001 ISMS, and demonstrate security posture to customers.

Build and maintain the Genesis-World core engineering infrastructure to reduce friction for simulation: improve testing and JIT compile performance, enable bit-exact reproducibility, make autodiff efficient, support live scene editing and extensibility, improve actuation and time management, refactor core systems, and support community contributions and reviews.

Lead and execute complex red team, purple team, assumed-breach, and adversary-emulation engagements. Develop realistic attack objectives and attack paths across enterprise, identity, cloud, and endpoint surfaces, run authorised offensive operations (including social engineering), validate detections, produce evidence-based reports, and mentor junior staff while collaborating with incident response, threat intel, and detection engineering teams.

Build scalable network automation applications across frontend and backend. Collaborate with network engineers and stakeholders to define requirements, implement modular UIs and services, maintain code quality, testing, CI/CD, documentation, and adopt best practices and tooling within Agile delivery.

Design, implement and maintain scalable, high-performance backend microservices. Write automated unit and integration tests, manage deployments from testing to production, collaborate with other engineering teams, translate customer requirements into deliverables, and work on client-facing scoping and delivery.

Design, implement, and validate anti-scraping defenses through red-team/blue-team testing. Develop bypass strategies, automated adversarial scripts, and conduct Android reverse engineering, packet analysis/tampering, and offensive/defensive drills to protect JD's platforms.

Lead application security efforts by embedding security into the SDLC, performing code reviews, threat modeling, pen tests, and vulnerability management. Build automated SAST/DAST/SCA testing in CI/CD, develop secure coding standards and libraries, run security training and a champions program, and support bug bounty and blockchain/mobile app security assessments.

Own and evolve the platform security architecture (authN/authZ, secrets, encryption, multi-tenant isolation). Write production code to harden security patterns, run threat models and architecture reviews, set standards, and partner with Security and Platform teams to ship secure platform improvements.

Lead portfolio results and attribution analysis, build forecasting/statistical models, manage complex projects, act as CMPS product owner, mentor associates, ensure data quality and controls, and deliver analytics to investment and distribution stakeholders.

Lead platform security initiatives: define requirements, evaluate and implement security technologies (EDR, DLP, SOAR, SIEM), troubleshoot across Windows/Linux/macOS, develop architectures and documentation, manage security tool sustainment, update policies, and partner with IT and stakeholders to mitigate risk.

Design and implement cloud-native security controls and guardrails across Azure/AWS/GCP and managed Kubernetes clusters. Improve product security in the SDLC by building secure infrastructure-as-code, admission controls, secrets management, and observability. Perform architecture reviews, security assessments, and support incident detection and response while advising platform and engineering teams on secure AuthN/AuthZ, service mesh, and cluster hardening.

Design and implement platform security features, act as security SME for Core Services, perform threat modeling and secure code reviews, support incident response and vulnerability remediation, and provide secure coding standards and developer training.

Build and maintain automated test frameworks and regression suites for IAM platforms (PAM, Vault, PKI, Active Directory). Integrate tests into CI/CD, perform API testing, validate IAM workflows, create smoke/health checks, analyze failures, support release readiness, and maintain audit/compliance evidence.

Lead and mature enterprise threat intelligence and vulnerability management programs. Monitor global threats, manage TIP/SIEM/SOAR integrations, run risk-based vulnerability assessments, drive remediation with infrastructure teams, automate workflows, and produce executive-level reports on risk and remediation status.

Lead application security efforts by embedding security into the SDLC: automate SAST/DAST/SCA in CI/CD, run pentests and vulnerability management, perform threat modeling and code reviews, administer GHAS, secure cloud-native workloads (AWS), and drive security training and compliance (NIST CSF) across engineering teams.

Design, implement, and manage GCP infrastructure using Terraform. Architect GCP services, integrate Vertex AI and BigQuery pipelines, and automate ops. Integrate Wiz Security Control and implement Policies-as-Code (Rego) for continuous security monitoring, perform security assessments, and ensure compliance in cloud environments.

Manage and optimize Akamai edge security (App & API Protector, WAF, Bot Manager). Tune WAF and rate limiting, mitigate DDoS and bot attacks, secure APIs, analyze HTTP/S traffic and logs, collaborate with developers/DevOps, produce documentation and automation (Akamai CLI, Terraform/APIs), and manage platform lifecycle and certificate/TLS management.

Design, build and maintain software and automation for control monitoring, testing, reporting and evidence collection. Integrate with security platforms (SIEM, IAM, EDR), cloud and engineering tools, develop APIs, CLI tools and data pipelines, and translate technical control activity into auditable evidence and reporting to reduce manual audit and assurance effort.

Lead development and productionisation of scalable AI models and data-driven solutions. Tune and optimise models, evaluate third-party AI tools, define coding standards, and collaborate with software engineers to deliver high-quality, maintainable production systems aligned with business goals.

Deliver hands-on penetration tests across web applications, APIs, and network infrastructure, plus Cyber Essentials Plus and wider technical security reviews. Identify and validate vulnerabilities, explain business risk, and provide remediation. Produce reports, present findings, manage engagement scope, and contribute to advisory work, business development, and continuous improvement of methodologies and tooling.

Develop and optimize low-latency trading systems alongside traders, researchers, and risk analysts. Participate in training, own well-architected code, and apply knowledge of algorithms, concurrency, CPU architecture, operating systems and databases to support real-time market decisioning.