--- title: 'AI Cloud Platform Engineer at BlueCrest Capital Management' canonical: 'https://feeny.ai/job/ai-cloud-platform-engineer-bluecrest-capital-management-london-england-12epxn5d53aq' type: 'job' last_seen: '2026-09-11' --- # AI Cloud Platform Engineer at BlueCrest Capital Management - **Company:** BlueCrest Capital Management - **Location:** London England, United Kingdom - **Posted:** 2026-05-12 - **Last confirmed live:** 2026-09-11 - **Apply:** https://job-boards.greenhouse.io/bluecrestcapitalmanagement/jobs/7731837003 ## Job description Department overview: This role sits at the intersection of our Front Office AI Technology team and Technology Infrastructure. This role straddles both teams, operating as the delivery and implementation function for our central AI capacity within the broader Infrastructure department. The position is responsible for deploying and operationalising the Front Office AI Technology team’s requirements by working hands‑on with Technology Infrastructure to design, build, automate, and run AI‑ready cloud platforms in production. The Front Office AI Technology team is focused on enabling the development of AI capabilities within the investment environment. The team partners closely with Front Office stakeholders to identify, design, and develop AI-enabled solutions that enhance decision‑making, efficiency, and insight, while operating within the firm’s risk, control, and regulatory constraints. Our Technology Infrastructure team operates globally and is responsible for every aspect of the firm's hybrid platform. This ranges from our EUC/Office environments to Trading and Core service Co-Location Data Centres, and extends to Public Cloud, delivering top-tier technology services to a dynamic and demanding Trading organisation. In addition to meeting the round-the-clock operational demands of the platforms, we continuously evolve and transform our platforms to maintain a competitive edge that our business requires. We innovate to provide valuable solutions and leverage our skilled Technology teams to deliver against rapidly changing business requirements. Role overview: The AI and Public Cloud Engineer is a highly technical, hands‑on platform engineering role responsible for designing, building, automating and operating secure cloud and AI platform foundations across a hybrid environment. The role exists to accelerate public cloud-based AI maturity and support existing on-premise platforms, while enabling enterprise and Front Office AI use cases through robust, well‑governed infrastructure. Working across Microsoft Azure, on-premise platforms and later with AWS and GCP Gemini / VertexAI enablement, the role delivers secure by design platforms covering identity, networking, security, governance, automation, and cost control. The position focuses on the operational reality of AI services with supporting, integrating, and governing AI platforms and AI SaaS providers within a low risk tolerance, regulated environment. This role offers a compelling opportunity to operate at the intersection of AI innovation and institutional‑grade infrastructure, enabling next‑generation AI capabilities within the investment environment of a leading hedge fund. Experience required: Public Cloud Platform Engineering (Azure/AWS/GCP) - Deep hands-on experience engineering and operating Azure and/or AWS landing zones, including identity, networking, security baselines, governance and hybrid connectivity. - Working knowledge of GCP infrastructure sufficient to deploy, integrate, and operate Vertex AI / Gemini alongside existing cloud platforms. AI Platform Operations & Integration - Proven experience building, running, and supporting AI services across public cloud (Azure, AWS, GCP, etc.) and enterprise SaaS AI platforms (OpenAI Enterprise, Anthropic, etc.). - Strong understanding of AI operational patterns including API-based model access, availability, monitoring, and governance rather than model development or data science. On-Premise Platform Engineering, Operations & Integration - Proven experience building, running, and supporting on-premise platforms and foundational services, such as advanced virtualisation with VMWare, Hyper-V and/or Kubernetes - Enterprise and data platform integration experience between on-premise and public cloud, in aspects of security, high availability, networking, load balancing to deliver hybrid applications and infrastructure Cloud Networking & Hybrid Connectivity - Hands-on experience designing and operating hybrid cloud connectivity (ExpressRoute / Direct Connect), including resilient routing, segmentation and private access patterns. - Strong practical knowledge of cloud network security, private endpoints, DNS integration, egress control and zero-trust networking principles. Identity, Access Management & Security - Deep experience implementing cloud IAM (Azure Entra ID, AWS IAM), RBAC, privileged access, MFA and workload identity patterns. - Practical application of security-by-design principles across cloud and AI platforms, including least privilege, auditability and controlled access to sensitive data. Infrastructure as Code & Automation - High proficiency in Infrastructure as Code (Terraform, Bicep, CloudFormation/CDK) to deliver repeatable, governed cloud or on-premise platforms. - Strong scripting or development capability (Python, Bash, PowerShell) to automate platform operations, integrations, and CI/CD workflows. Governance, Compliance & Cost Management - Experience implementing governance frameworks including policy enforcement, tagging standards, compliance automation and environment guardrails. - Practical experience managing cost controls and consumption optimisation, particularly for AI and data-intensive workloads. - Hands-on experience applying data classification, DLP, and AI usage controls to protect sensitive data across cloud and SaaS AI services. - Working knowledge of enterprise AI security and governance standards aligned to regulated or low risk tolerance environments. Platform Support & Operational Excellence - Demonstrated experience supporting production cloud and on-premise platforms, including incident response, resilience testing and operational improvement. - Ability to balance critical BAU support with ongoing platform engineering and transformation work in time‑sensitive environments. About you: The ideal candidate is a highly technical, hands-on platform engineer with demonstrable broad-range skills and deep experience in public cloud infrastructure and AI service delivery. You have a proven track record in problem-solving, balancing critical operational support with advanced engineering initiatives in fast-paced, demanding environments. You are passionate about emerging cloud and AI technologies, eager to build innovative solutions that enhance technology performance while naturally understanding the need for rapid delivery balanced against business risk and operational constraints. You appreciate the importance of security, governance, and cost discipline in enterprise cloud deployments, especially when enabling AI capabilities that require strong data protection and regulatory alignment. You have excellent communication and organizational skills, working effectively both independently and as part of cross-functional teams across Technology Infrastructure, Cybersecurity, Application Development, and Front Office stakeholders. Your commitment to continuous improvement is evident in both learning from others and sharing knowledge to enhance team capability and platform maturity BlueCrest is committed to providing an inclusive environment for its workforce. As an employer, we provide equal opportunities to all people regardless of their gender, marital or civil partnership status, race, religion or ethnicity, disability, age, sexual orientation or nationality. ## About BlueCrest Capital Management ## Company Overview - **One-liner**: BlueCrest Capital Management is a global alternative asset manager, originally focused on fixed income macro trading, that now manages significant institutional assets across diversified strategies, primarily for its partners and employees after closing to external investors. - **Entity Type**: Private (limited liability partnership) - **Headquarters**: London, United Kingdom (with offices in Geneva, Jersey, Dubai, New York, Miami, and Singapore) - **Founded**: 2000 - **Founders**: Michael Platt and William Reeves (now retired) ## Core Business - Primary industry: Investment & Asset Management (Hedge Funds) - Target customers: Institutional investors (historically); currently focused on managing internal capital (partners and employees) - Mission/purpose: Not publicly stated; the firm prioritizes partner-aligned investing and technology-driven trading. ## Products & Services - **Multi-Strategy Investment Funds**: BlueCrest manages internal funds across fixed income macro, systematic trading, rates, equity index volatility arbitrage, emerging markets, and other strategies. - **Private Wealth Services**: Select portfolio administration and wealth management offerings for a limited client base. - **Technology & Quantitative Platforms**: In-house development of trading infrastructure, AI/ML models, cloud platforms, and quantitative research tools to support proprietary trading. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed (private partnership) - **Key Metric**: At its peak in 2013, BlueCrest had US$35.3 billion in global assets under management. Annual revenue is estimated between $13.4 million (Apollo estimate) and $100–500 million (Glassdoor self-reported). The higher range is more credible given the scale of the firm. - **Notable Investors/Partners**: The firm is fully owned and controlled by its principals. No external institutional investors currently. - **Growth Signals**: Active hiring (10+ open roles as of mid-2026, +25% monthly job posting growth); increasing investment in AI/cloud engineering; expansion of technology stack (Python, Kubernetes, Azure, Snowflake, Hugging Face, OpenAI). ## Competitive Advantages - **Talent Concentration**: Deep bench of alumni from top investment banks (Goldman Sachs, Morgan Stanley, UBS, Citi, Deutsche Bank, etc.) – 70 former Goldman Sachs employees currently at BlueCrest. - **Proprietary Technology**: Heavy internal tech investment with 91+ tools in stack, including AI, ML, cloud-native infrastructure, and quantitative platforms. - **Partner-Governed Structure**: Principals control the firm, aligning incentives and enabling long-term, high-risk strategies without external investor pressure. - **Global Presence**: Offices across major financial hubs (London, New York, Singapore, Geneva, Jersey, Dubai, Miami) providing 24/7 trading and operational coverage. ## Strategic Focus - **AI Transformation**: BlueCrest is actively hiring for AI Integration Lead, AI Cloud Platform Engineer, and AI Adoption SME roles, signaling a push to embed machine learning and LLMs across trading, risk, and operations. - **Technology Modernization**: Moving to cloud-native infrastructure (Azure, Kubernetes, Snowflake) and modern UI frameworks (Angular, React). - **Internal Capital Growth**: After returning external capital in 2015–2016, the firm focuses on growing the internal fund for partners and employees. ## Why Work Here - **Culture**: Described as “friendly team, nice people” by some employees on Glassdoor. The firm emphasizes intellectual rigor and risk-taking in trading. - **Work Environment**: Hybrid/office-based in major financial centers. Offices in London (Victoria/Belgravia), New York, Singapore, etc. - **Benefits & Perks**: Positive reviews mention good benefits and lunch provided. Compensation is competitive (industry-standard for hedge funds). - **Engineering Culture**: Strong emphasis on quantitative development, AI/ML, and modern infrastructure. Developers work directly with traders and quants. - **Glassdoor Ratings**: 3.0 out of 5 stars (based on 130 reviews); 46% would recommend to a friend; 52% approve of CEO. Reviews are mixed – some cite average interview difficulty (3/5) and decent work/life balance. ## Sources 1. [Greenhouse Jobs Page](https://job-boards.greenhouse.io/bluecrestcapitalmanagement) 2. [Apollo.io Company Profile](https://apollo.io) – revenue/employee data (note: may contain inaccuracies) 3. [LinkedIn Company Page](https://uk.linkedin.com/company/bluecrest-capital-management-llp) 4. [Glassdoor Overview](https://www.glassdoor.com/Overview/Working-at-BlueCrest-Capital-Management-EI_IE305621.11,39.htm) 5. [FCA Final Notice – BlueCrest Capital Management (UK) LLP (Oct 2025)](https://www.fca.org.uk/publication/final-notices/bluecrest-capital-management-2025.pdf) 6. 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