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Zenith UK AI Data Engineer Our Commitment At Zenith UK, we believe that fostering an inclusive culture where all talent can thrive makes our company stronger. It enables a greater idea exchange, which fosters innovation and creativity, and enriches our perspective.We are committed to Publicis Groupe’s wide variety of talent engagement and inclusion programming, and encourage our people to take an active role in continuing to drive positive change within our agency. This role presents an opportunity to engage deeply with MLOps, vector databases, and Retrieval-Augmented Generation (RAG) pipelines. If you are passionate about shaping the future of AI and thrive on complex, high-impact challenges, we encourage you to apply. What You'll Do: As a Senior Data Engineer for AI/ML, you will be the architect and builder of the data infrastructure that feeds our intelligent systems. Your responsibilities will include: • Design and Build Scalable Data Pipelines: Architect, implement, and optimize robust, high-performance real-time and batch ETL pipelines to ingest, process, and transform massive datasets for LLMs and foundational AI models., • Cloud-Native Innovation: Leverage your deep expertise across AWS, Azure, and/or GCP to build cloud-native data solutions, ensuring efficiency, scalability, and cost-effectiveness., • Power Generative AI: Develop and manage specialized data flows for generative AI applications, including integrating with vector databases and constructing sophisticated RAG pipelines., • Champion Data Governance & Ethical AI: Implement best practices for data quality, lineage, privacy, and security, ensuring our AI systems are developed and used responsibly and ethically., • Tooling the Future: Get hands-on with cutting-edge technologies like Hugging Face, PyTorch, TensorFlow, Apache Spark, Apache Airflow, and other modern data and ML frameworks., • Collaborate and Lead: Partner closely with ML Engineers, Data Scientists, and Researchers to understand their data needs, provide technical leadership, and translate complex requirements into actionable data strategies., • Optimize and Operate: Monitor, troubleshoot, and continuously optimize data pipelines and infrastructure for peak performance and reliability in production environments. What You'll Bring: We are seeking a seasoned professional who is excited by the unique challenges of AI data. Must-Have Skills: • Extensive Data Engineering Experience: Proven track record (3+ years) in designing, building, and maintaining large-scale data pipelines and data warehousing solutions., • Cloud Platform Mastery: Expert-level proficiency with at least one major cloud provider (GCP-Preferred, AWS, or Azure), including their data, compute, and storage services., • Programming Prowess: Strong programming skills in Python and SQL are essential., • Big Data Ecosystem Expertise: Hands-on experience with big data technologies like Apache Spark, Kafka, and data orchestration tools such as Apache Airflow or Prefect., • ML Data Acumen: Solid understanding of data requirements for machine learning models, including feature engineering, data validation, and dataset versioning., • Vector Database Experience: Practical experience working with vector databases (e.g., Pinecone, Milvus, Chroma) for embedding storage and retrieval., • Generative AI Familiarity: Understanding of data paradigms for LLMs, RAG architectures, and how data pipelines support fine-tuning or pre-training., • MLOps Principles: Familiarity with MLOps best practices for deploying and managing ML models in production., • Data Governance & Ethics: Experience implementing data governance frameworks, ensuring data quality, privacy, and compliance, with an awareness of ethical AI considerations. Bonus Points If You Have: • Direct experience with Hugging Face ecosystem, PyTorch, or TensorFlow for data preparation in an ML context., • Experience with real-time data streaming architectures., • Familiarity with containerization (Docker, Kubernetes)., • Master's or Ph.D. in Computer Science, Data Engineering, or a related quantitative field. Zenith UK has fantastic benefits on offer to all of our employees, full details of which are shared when you join. This includes the classics like Pension, Life Assurance, Private Medical, as well as Reflection Days, Shared Parental Leave, and spans other initiatives like: 📖 Please check out the Publicis Career Page which showcases our Inclusive Benefits and our EAG’s (Employee Action Groups). At Zenith UK, we are proud to be an equal opportunities employer. We welcome and encourage applications from people of all backgrounds, and do not discriminate on the basis of race, ethnicity, nationality, religion or belief, disability, age, citizenship, relationship status, sexual orientation, gender identity, or any other protected characteristic. We are committed to providing a fair, accessible, and inclusive recruitment process. If you have any access needs - for example, related to disability, neurodivergence, or a health condition - please let us know. We’ll work with you to ensure the process works for you. Sharing this information will never impact your application. Guided by our values, we listen with empathy, uplift each other, take responsibility, and embrace change - building a culture where everyone feels seen, respected, and genuinely included.

We are seeking a Senior Software Engineer to join a growing engineering team and help build scalable software systems that support cutting-edge research in biotechnology and life sciences. You will play a key role in designing and developing platforms that enable scientists, data engineers, and bioinformaticians to analyze complex biological data, accelerate drug discovery, and improve clinical research workflows. This role combines strong backend engineering, cloud infrastructure and data engineering, with an interest in working alongside scientists and research teams. Key Responsibilities • Design and develop scalable backend systems and APIs for scientific and clinical data platforms, • Build and maintain data pipelines for large biological and research datasets, • Collaborate with scientists, bioinformaticians, and data teams to translate research needs into software solutions, • Contribute to cloud infrastructure, system architecture, and performance optimisation, • Ensure high-quality code, testing, and CI/CD best practices, • Mentor junior engineers and support technical decision-making Required Skills & Experience • Strong programming experience in Python, Java, or Go, • Experience building backend services, APIs, and distributed systems, • Strong knowledge of cloud platforms (AWS, GCP, or Azure), • Experience with containerisation and orchestration (Docker, Kubernetes), • Experience with CI/CD pipelines and DevOps practices, • Strong understanding of databases and data pipelines (SQL, NoSQL, ETL systems), • Experience working with large-scale datasets

Lead Gen AI Engineer/ Architect London - Flexible Working Options Available £80,000-£90,000 + Bonus + Benefits Do you want to be at the heart of some of the biggest and most ambitious AI & Data programmes in the market? We’re hiring experienced Lead GenAI System Architects to join a world-class AI Institute – a centre of excellence driving cutting-edge Engineering, AI & Data innovation. You’ll work with senior leaders, global clients, and multidisciplinary teams on transformative Generative AI initiatives that redefine how organisations operate. This is a senior, hands-on role for someone who blends deep technical expertise with the ability to influence at board and C-suite level. • Shape and deliver enterprise-scale AI & Generative AI strategies aligned to real business outcomes., • Design, build, and deploy end-to-end AI pipelines – from data ingestion to secure, scalable production systems., • Lead the development and operationalisation of advanced models, including LLMs, diffusion models, and other generative techniques., • Architect production-grade RAG systems, evaluation frameworks, and responsible AI guardrails., • Stay at the forefront of AI research, translating emerging capabilities into practical, high-impact solutions., • Mentor and lead cross-functional AI teams, building reusable assets and delivery excellence. Background & Experience • PhD or equivalent in Computer Science, ML, AI, or a related field (or outstanding equivalent experience)., • Extensive experience designing and deploying enterprise AI/ML solutions in production., • Proven leadership of technical teams and senior stakeholders., • Deep domain experience in regulated or data-rich industries (e.g. financial services, healthcare)., • Track record of thought leadership (publications, patents, open source, or industry impact). Technical Excellence • Expert Python and modern ML frameworks (PyTorch, TensorFlow)., • Strong experience with Generative AI tooling (e.g. LangChain, LangGraph or similar)., • Deep understanding of LLMs, prompt engineering, RAG, vector databases, evaluation, and security., • Hands-on experience with fine-tuning, deploying, and monitoring large-scale GenAI systems., • Strong MLOps / LLMOps capability: CI/CD, monitoring, governance., • Cloud expertise across AWS, Azure, and/or GCP (cloud-agnostic preferred)., • Ability to communicate complex AI concepts to non-technical audiences.

IT Engineer – OneTrust Data Discovery Integration Location: London (Hybrid – 3 days onsite) Type: Subcontractor, 6 Month Initial Contract We need a skilled IT Engineer to integrate OneTrust Data Discovery across systems handling personal data. You’ll gather technical data, open/validate network paths, and work with SMEs to deploy and configure worker nodes and connectors. Key Deliverables • Onboard prioritized assets into OneTrust, • Document connectivity/setup for each application, • Complete initial catalog scans with ICRM, • Develop SOPs for onboarding, credentials, and change control Technical Skills • OS: Windows Server, Linux (RHEL, Ubuntu), • Databases/Stores: SQL Server, Oracle, PostgreSQL, MySQL, MongoDB, SMB/NFS, SharePoint, OneDrive, • Networking: TCP/IP, DNS, routing, NAT, proxies, TLS, firewalls (Palo Alto/Checkpoint), load balancers, VPN, • Identity: AD, Azure AD/Entra ID, LDAP, Kerberos, NTLM Experience • Deploying/scaling agents or scanning tools (e.g., vuln scanners, DLP, EDR)., • Secret and credential management., • Strong documentation (diagrams, runbooks, playbooks). Nice to Have • OneTrust Data Discovery nodes, connectors, classification tuning, • ServiceNow CMDB and change workflows, • Data governance/privacy concepts (PII, PCI, PHI), • Docker/Kubernetes familiarity Kindly share your up to date CV for immediate consideration.

Job Title: Databricks Architect Location: London, UK Work Mode: Onsite Experience: 10–15 Years (minimum 5+ years in Databricks) Employment Type: Full-time About the Role We are seeking a highly experienced Databricks Architect to lead the design, development, and optimization of scalable data platforms and advanced analytics solutions. This role requires a deep understanding of Databricks Lakehouse architecture, big data engineering, cloud ecosystems, and enterprise data strategy. The ideal candidate will partner with business and technology leaders to deliver high-performance data systems that support analytics, AI/ML, and real-time insights. Key Responsibilities Architecture & Solution Design • Architect end-to-end Databricks Lakehouse solutions including data ingestion, ETL/ELT pipelines, Delta Lake, data warehousing, and data governance frameworks., • Define and enforce best practices, security standards, and performance optimization across Databricks workloads., • Design scalable big data architectures leveraging Spark, Delta Live Tables, Unity Catalog, and MLflow., • Build and optimize large-scale ETL/ELT pipelines using PySpark, SQL, and Delta., • Work closely with business leaders and product teams to translate requirements into robust technical solutions., • Guide development teams, perform architecture reviews, and ensure platform engineering excellence., • Optimize Databricks clusters, query performance, and cost management., • Implement data governance standards using Unity Catalog, RBAC, and compliance guidelines (GDPR, ISO)., • 10–15 years overall experience in data engineering or data architecture., • 5+ years of hands-on architecture experience specifically in Databricks., • Expert in Apache Spark, PySpark, Databricks SQL, Delta Lake, and distributed systems., • Strong understanding of Lakehouse architecture, BI ecosystems, and modern data platforms., • Cloud expertise in Azure / AWS / GCP (Azure preferred for many UK clients)., • Experience with CI/CD, Infrastructure-as-Code (Terraform preferred), and DevOps., • Databricks certifications (e.g., Databricks Certified Data Engineer Professional, Architect)., • Experience building ML solutions using MLflow or integrating with cloud ML services., • Experience in BFSI, Retail, Telecom, or Healthcare data environments., • Excellent communication and stakeholder management skills., • Strong problem-solving and solution-oriented mindset., • Ability to lead in a fast-paced and dynamic environment., • Work onsite with a high-impact, cutting-edge data team in London., • Opportunity to lead large-scale data transformation initiatives., • Exposure to enterprise data strategy, advanced analytics, and AI projects., • Competitive compensation and career-growth opportunities.

About the Role: Grade Level (for internal use): 15 The Team: The Enterprise Solutions Technology division includes workflow solutions across Lending, Reg & Compliance, Global Markets and Software business. Enterprise Solutions provides industry-leading set of integrated tools, solutions and data services that help our clients make efficient investment decisions, operate with greater efficiency, and provide transparency across their business and to their key stakeholders. What's in for you We are seeking a senior technology leader (Senior Principal Engineer / Chief Architect & Technology Strategy) to partner closely with the Head of Technology for Enterprise Solutions in shaping the technology direction of a complex, regulated financial-services estate. This is a hands-on principal engineer and architect role, not a pure governance or advisory architecture function. The role exists to ensure technology strategy is grounded in engineering reality, deep domain understanding, and operational outcomes. You will work directly with the Head of Technology to shape and refine strategy, stress-testing ideas against engineering, regulatory, and operational constraints. You will engage closely with senior engineering leaders, platform teams, and product partners to turn strategy into real designs that can be built and run. You will get involved early in complex or high-risk initiatives and step in when it matters most, including during major incidents and recovery efforts. A key part of the role is knowing when to push forward, when to simplify, and when to slow down or stop. You will act as the engineering authority across Enterprise Solutions, leading primarily through influence rather than line management and the role carries broad responsibility for shaping architecture, design, and delivery decisions across multiple teams and domains. You will balance long-term strategy with near-term delivery constraints, operational resilience, and regulatory expectations, and represent the technology direction with clients and senior stakeholders, explaining design choices and trade-offs clearly and credibly. Overall, this role strengthens the technology function by making strategy buildable, operable, and defensible. Responsibilities: • Experienced in setting technology strategy and architecture for complex, regulated, data-driven platforms, with strong experience in banking and financial services (public and private markets, syndicated lending, securities processing, counterparty and client lifecycle, regulatory reporting, or similar domains), • Experienced in defining and owning multi-year technology strategies and roadmaps, setting clear priorities and sequencing change based on business outcomes, regulatory needs, and engineering reality, • Sets and governs reference architectures, design standards, and architectural guardrails, ensuring teams build in a consistent, scalable, and sustainable way., • Strong understanding of how financial products, operational workflows, data, and controls work end-to-end, and uses that understanding to make sound system and platform design decisions, • Has demonstrated strong judgment designing distributed, event-driven, and data-intensive systems, including how they scale, fail, recover, and isolate risk., • Experienced with cloud platforms (AWS, Azure, GCP) and the trade-offs around managed services, multi-region and multi-tenant designs, data residency, cost, performance, and resilience., • Knowledge of advanced and new architectures and design paradigms e.g. agent-based systems, service abstractions, semantic data models, knowledge graphs, and where to apply or not., • Experienced in ensuring AI-enabled systems are explainable, auditable, and operationally safe, with clear judgment on when AI is appropriate versus deterministic or rules-based approaches. Strong understanding of analytics and AI in production (e.g. data quality, anomaly detection, fraud/AML, workflow automation) and understands what it takes to run these reliably in regulated environments., • Designs with security and controls built in, with a strong understanding of identity, data protection, failure containment, and regulatory risk.What are we looking for:, • 20+ years building and operating systems in tier-1 banks, capital markets infrastructure, or similarly regulated, high-availability environments. Has owned or deeply influenced production systems under real load, is comfortable reading and writing code, and works effectively alongside senior engineers., • Acts as a coach and multiplier for senior engineers and architects, raising the bar through hands-on problem solving, design reviews, and practical guidance rather than formal line management., • Pragmatic, direct, and outcome focused. Leads through earned credibility and influence, is comfortable shaping decisions without authority, and communicates complex technical topics clearly to business, client, and regulatory audiences., • Measures success by outcomes and evidence, not intent or presentation: technology strategy that translates into systems that work in production, reduce late-stage surprises and repeat incidents, scale and recover as designed, and stand up to real operational and regulatory scrutiny. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit . What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: • Health & Wellness: Health care coverage designed for the mind and body., • Flexible Downtime: Generous time off helps keep you energized for your time on., • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills., • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs., • Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to:" "and your request will be forwarded to the appropriate person." US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf " describes discrimination protections under federal law. 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Technical Lead / Solution Engineer (Salesforce) London | Permanent | Hybrid £100,000 - £120,000 + bonus + benefits We’re looking for a Technical Lead / Solution Engineer to join a high-impact Salesforce transformation programme. You’ll play a key role in delivering and evolving a global Salesforce ecosystem across multiple lines of business. This is a hands-on leadership role, combining solution architecture, technical delivery, and business engagement. You’ll have the autonomy to lead initiatives, influence architectural decisions, and step up when senior leadership is unavailable. What You’ll Be Doing • Lead solution design and technical delivery across Salesforce and integrated platforms, • Collaborate with Architects, Product Owners, Developers, and Testers to deliver scalable, high-quality solutions, • Translate business requirements and customer journeys into technical designs, • Challenge and influence architectural decisions to optimise outcomes, • Provide hands-on technical leadership, mentoring developers and reviewing code where needed, • Drive adoption of modern engineering practices (CI/CD, cloud, event-driven architecture), • Support Agile delivery across global teams and remove technical blockers, • Ensure compliance with financial regulations, data privacy, and governance standards Key Skills & Experience Essential • Strong Salesforce (Sales Cloud) experience, • Proven background as a Technical Lead / Solution Architect / Solution Engineer, • Experience with:, • AWS (Glue, AppFlow), • Java development, • API integrations (REST/SOAP), • CI/CD pipelines & cloud deployment (AWS/Azure), • Experience working across business requirements / user journeys (BA background beneficial), • Strong understanding of data models, MDM, and ETL processes, • Experience in Agile environments Leadership & Stakeholder Skills • Experience managing or mentoring developers and QA teams, • Strong communication skills with the ability to challenge and influence stakeholders, • Comfortable working with architecture review boards and senior leadership, • Ability to operate independently with confidence and gravitas Desirable • Experience in insurance, • Understanding of financial regulations (data privacy, compliance, etc.), • Consultancy background working with insurers, • Salesforce ecosystem knowledge including:, • Flows, Apex, LWC, • Data management & integrations, • Security & sharing models The Team & Environment • Part of a global technology function supporting business operations globally, • Multiple Salesforce teams globally, with distributed engineering across the UK and US, • Collaborative Agile environment with strong cross-functional partnerships Additional Information • Start date: ASAP (flexible for the right candidate), • Candidates must have the right to work in the UK Why Join? You’ll be part of a global insurer investing heavily in technology, working on a high-visibility Salesforce programme with real impact across the business. This role offers a rare mix of technical leadership, strategic influence, and hands-on delivery.

Who we are We are a London tech startup on the lookout for bright, motivated and self-driven individuals to join the team. Who you are You are a DevOps/Site Reliability Engineer with experience managing complex infrastructure and deploying scalable, reliable systems. You are passionate about automation, cloud technologies, and continuous improvement. Must have: • Proven track record of managing cloud-based infrastructure (AWS, Azure, or GCP)., • Hands-on experience with infrastructure-as-code tools such as Terraform, Ansible, or CloudFormation., • Strong CI/CD pipeline design experience using tools like Jenkins, GitHub Actions, or GitLab CI., • Proficiency in scripting languages such as Bash, Python, or Go., • Experience with container orchestration tools such as Kubernetes, Docker Swarm, or HashiCorp Nomad., • Excellent problem-solving, communication, and collaboration skills. Nice to have: • Experience managing distributed systems, microservices, and event-driven architectures., • Knowledge of observability tools such as Prometheus, Grafana, ELK Stack, or Datadog., • Experience with security best practices, monitoring, and incident response., • Familiarity with DevSecOps and compliance frameworks (ISO 27001, SOC 2, GDPR)., • Exposure to big data processing, ML pipelines, or simulation workflows. Bonus: • Existing interest in data science and simulation workflows in the manufacturing, energy or chemical process industries;, • Experience with high-performance computing (HPC). What we do We are building what will become a leading industrial platform that empowers engineers and research scientists to solve pressing problems in energy efficiency, product design and reliability. We develop and support a product that connects simulations, data, and AI to empower large organisations when making informed decisions across the life cycle of engineered systems. Quaisr is an early stage startup backed by Crane Venture Partners (UK) and Acequia Capital (USA), along with international angel investors. We were founded on partnerships with leading engineering and research institutions including Imperial College London and The Alan Turing Institute. Our customers are early-adopter multinational organisations in the pharmaceuticals, fast-moving consumer goods, defence, and energy sectors. Where we operate Our office is in London (White City). This position is available full time in the UK. When we work We offer 25 days paid annual leave, in addition to UK bank holidays. What you will do • Platform Operations (40%): Support the lifecycle of platform deployment, including provisioning, updating, monitoring, and scaling cloud infrastructure., • Automation & Tooling (40%): Design and implement CI/CD pipelines, deployment automation, and system monitoring solutions., • Technical Leadership & Documentation (20%): Create and maintain infrastructure documentation, contribute to technical blog posts, and mentor junior engineers. What we offer • Salary range of £50,000 to £85,000 depending on experience., • Development training and support to learn required technical skills., • Employee stock options., • New equipment: MacBook Pro, and work-from-home allowance., • Opportunities to attend technical conferences., • Flexible hybrid working environment, blending work from the office and home. Our hiring process • (30 mins) Introductory call with Quaisr. This is a chance to learn about Quaisr and to check that our plans align with your own. We want to get to know you., • (90 mins) Technical call with two Quaisr team members. We’ll give you an opportunity to talk through a past programming experience, including taking us through some of your code. We want to learn more about you, and a little regarding how you think!, • (45 mins) Online coding exercise (with a Quaisr team member on the call) working on a practical task related to cloud deployment or automation., • (45 mins) Follow-up with additional Quaisr team. You will meet your future team members and learn more about the role directly from us. Application instructions Please send a cover letter and CV to Our policy on equality, diversity and inclusion Quaisr is committed to creating an environment where diversity is valued and everyone is treated fairly. We welcome applications from anyone who meets the specific criteria of the post regardless of age, disability, ethnicity, gender reassignment, marital or civil partnership status, pregnancy and maternity, religion or belief, sex and sexual orientation. Reasonable adjustments to the interview process can also be made for any candidates with a disability. One more thing If you have a compelling interest in our mission, and wish to propose a role that more closely matches your skill set, please get in touch.

Senior GenAI Platform Engineer / Senior AI/ML Platform Engineer Hybrid – London A rapidly scaling AI innovator is searching for an exceptional Senior GenAI / AI‑ML Platform Engineer to play a pivotal role in shaping and advancing their next‑generation intelligence platform. This organisation is building high‑performance, real‑time AI systems that support demanding financial and enterprise clients globally, and this position sits at the heart of their most advanced technical developments. The Role As a senior member of the platform engineering team, you will architect, build, and optimise the underlying infrastructure that powers cutting‑edge GenAI and machine learning workloads. This includes large‑scale model deployment, distributed systems design, high‑throughput data processing, and the creation of robust frameworks that enable rapid experimentation, safe iteration, and reliable productionisation of LLM‑ and ML‑driven features. This role is ideal for someone who thrives in fast‑moving environments, enjoys deep technical problem‑solving, and wants their work to have immediate real‑world impact. Responsibilities • Design and build scalable, production‑grade GenAI and ML platform components, • Develop infrastructure for training, fine‑tuning, evaluating, and deploying large models, • Create internal tooling enabling fast model experimentation and automated workflows, • Optimise and scale distributed systems and vector‑driven architectures, • Implement robust observability, reliability, and performance engineering practices, • Collaborate closely with data scientists, ML engineers, and product teams, • Champion platform best practices, architectural improvements, and automation What You’ll Bring • Extensive experience building and deploying distributed ML or LLM systems, • Expertise in Python, cloud platforms (AWS/GCP/Azure), and Kubernetes, • Strong knowledge of MLOps, model orchestration, and CI/CD for AI systems, • Background in embeddings, vector databases, LLM fine‑tuning, or inference optimisation, • Ability to balance high‑level architectural thinking with hands‑on engineering, • A mindset focused on performance, reliability, and scalability What’s On Offer • A chance to help define the technical direction of a rapidly growing AI product, • Complex technical challenges with direct impact, • Hybrid London working f you enjoy solving deep technical problems and want to build the infrastructure behind next‑generation AI intelligence systems, this is an opportunity worth exploring.

Backend Engineer (AI Platform) - London £80k–£100k + EMI equity About the Role We’re hiring a Backend Engineer to build the core infrastructure behind Revax’s AI-native platform for professional services. You’ll design, optimise, and scale the systems that power multi-agent drafting, knowledge graphs, and auditable AI workflows used by accountants, tax advisors, and consultants at leading firms. This is not a “ticket-taking” role -you’ll work directly with the founders, own critical backend services end-to-end, and help define how AI systems are built responsibly in regulated domains. If you enjoy designing clean APIs, scaling Python services, and building systems that actually ship to paying customers, this role is for you. Compensation: £80,000–£100,000 base + EMI equity Location: London About Revax Revax is building a new class of AI-native software for tax advisory firms. Today, professional services teams spend countless hours drafting, reviewing, and re-drafting work - constrained by fragmented knowledge, manual workflows, and brittle tooling. We turn a firm’s own expertise into structured, auditable, AI-powered systems that draft, analyse, and explain deliverables with full provenance. We’re a fast-moving, well-funded startup backed by leading angels, already working with major firms, and building at the intersection of AI agents, knowledge graphs, and real-world enterprise workflows. What You’ll DoBuild & own core backend systems · Build and optimise databases for complex, real-world data · Design and implement APIs using FastAPI for AI workflows and product features · Build and scale LangGraph-based multi-agent systems with checkpointing, retries, and observability · Integrate and scale vector search, knowledge graphs (Neo4j), and associated retrieval pipelines into production services · Deploy and operate GPU-backed services for AI workloads (e.g. inference, embeddings, or agent pipelines) in production Scale & operate production infrastructure · Deploy services on GCP (Cloud Run / GKE) or equivalent cloud infrastructure · Improve performance, reliability, and cost efficiency (latency, throughput, retries, backoffs) · Implement security-first patterns: auth flows, service-to-service auth, IAM, and access controls · Help prepare the platform for enterprise customers (SSO, auditability, compliance ready patterns) Collaborate closely with founders & product · Shape system architecture and API design alongside full-stack and ML engineers · Translate ambiguous product ideas into robust backend implementations · Iterate quickly based on real customer usage and feedback What We’re Looking For Essential · 2-3 years building backend systems for real users · Production experience with FastAPI (or similar modern Python frameworks) · Solid understanding of API design, PostgreSQL, and distributed systems fundamentals · Experience deploying and operating services on cloud infrastructure (GCP, AWS, and Azure) · High ownership mindset: you care deeply about reliability, correctness, and outcomes Strong Plus · Experience with LangGraph, RAG pipelines, vector databases, or knowledge graphs · Familiarity with Neo4j or graph-based data modelling · Experience working on AI-native or agentic systems · Comfort working in early-stage startups with ambiguity and speed · Experience deploying and working with GPU services for AI workloads Bonus · Exposure to professional services, finance, tax, or regulated workflows · You actively use modern AI coding tools (Cursor, Claude Code, etc.) · Strong instincts for developer experience and internal tooling Why Revax · Real ownership over core backend infrastructure · Work directly with founders on high-impact technical decisions · AI-native product with real customers and immediate feedback · Modern stack: Python, FastAPI, LangGraph, Postgres, Supabase, Neo4j, GCP · Meaningful early-stage equity: we hire owners, not passengers · A lean, low-ego, high drive team that ships fast and cares about their work Practical details · London based (strong preference for in office collaboration) · Visa sponsorship available

We are GlobalLogic, a Hitachi Group Company and a leader in digital engineering. We help brands across the globe design and build innovative products, platforms, and digital experiences for the modern world. By integrating experience design, complex engineering, and data expertise - we help our clients imagine what’s possible and accelerate their transition into tomorrow’s digital businesses. We are seeking to hire an experienced Senior/Lead Azure Cloud Engineer/Consultant into our Platform Engineering Practice for a key client project. About the role: • Contribute to and provide leadership qualities in the development and deployment of Cloud technologies with focus and expertise in Azure., • Work individually and as part of a team to carry out end-to-end implementation of Cloud based technologies (public, private and hybrid). Collaborate with cross-functional teams to deliver resilient, production-ready platform capabilities., • Undertake Cloud based solutions activities driving architecture, process and management best practice., • Identify risks within major designs and direct follow up remediation activities., • Advise and assist clients in developing Cloud technology roadmaps., • Regularly undertake complex and/or critical consultative engagements, to a senior management level., • Confidently scope complex and critical projects as well as (high level and detailed) deliverables., • Able to work in a fast-paced project environment and tight delivery timelines., • In addition, design, build, and operate platform infrastructure using Infrastructure as Code (IaC) tools such as Terraform and Ansible., • Develop and maintain automation pipelines and tooling to support provisioning, configuration, and platform services., • Implement and improve CI/CD workflows to accelerate platform delivery., • Enhance reliability, scalability, and performance of platform services., • Write automation logic and integrations in Python, Powershell or Golang, especially for infrastructure tooling. Hands on experience required :- • Deploying/Managing Azure and/or Designing/Architecting Azure solutions., • Experience with Azure Devops (or similar CI/CD tooling)., • Experience with IAC (Terraform or ARM), • Experience with GitLab, GitHub Actions, • Work in an agile, collaborative manner and be adaptable to changing scenarios., • Strong experience deploying Infrastructure-as-Code in an enterprise environment., • Architectural design and deployment skills for enterprise Cloud technologies (public, private and hybrid) into complex environments., • Excellent knowledge of high availability and backup/recovery solutions., • Excellent technical design, performance improvement and service alignment skills., • Experience around business critical and business continuity solutions., • Ability to lead on cloud initiatives and work to tight delivery deadlines. Ideally you will have one or more of the Associate/Expert level Azure certs, e.g. • Azure DevOps Engineer expert; Azure Cybersecurity architect expert; Azure Solutions architect expert. At GlobalLogic, we have a strong track record of successfully delivering ground-breaking Cloud, Data & Digital Transformation programmes and we have an international reach working with a wide variety of projects and customers. Our approach enables companies to “build the exceptional” and be fit for purpose in the 21st century. We hire based on personality, potential, and enthusiasm to make a difference, then we give you the tools and skills you need to follow your own path. You’ll benefit by gaining exposure to a wide range of tools and technologies that you can then put into practice and become certified on various Cloud (and related) technologies that will help you to develop your own toolkit.

The Company This business is a rail software and consulting company with a growing team and a solid foundation of project-based revenue. It works with leading organisations across the UK rail industry, helping them harness data to solve complex operational challenges. Data Engineers are key to this mission - building robust data infrastructure and tooling that powers insights, analytics, and software products used across the rail network. The Role As a Data Engineer, you'll be part of a collaborative technical team, working across the data lifecycle: from designing ETL pipelines and integrating real-time data streams, to developing APIs and backend systems that deliver rail data securely and reliably. You'll work closely with engineers, consultants, and project managers to translate real-world rail problems into scalable technical solutions. This role sits at the intersection of software engineering, data architecture, and delivery. Key Responsibilities Data Engineering & Infrastructure • Design and implement robust data pipelines (batch and real-time) for ingesting, transforming, and serving rail-related datasets., • Develop and maintain data APIs and services to support analytics, software features, and reporting tools., • Build data models and storage solutions that balance performance, cost, and scalability., • Contribute to codebases using modern data stack technologies and cloud platforms (e.g., Azure, AWS). Collaborative Delivery • Work with domain consultants and delivery leads to understand client needs and define data solutions., • Participate in agile delivery practices, including sprint planning, reviews, and retrospectives., • Help shape end-to-end solutions — from ingestion and transformation to client-facing features and reporting. Best Practices & Growth • Write clean, well-documented, and tested code following engineering standards., • Participate in design reviews, code reviews, and collaborative development sessions., • Stay up-to-date with new tools and trends in the data engineering space., • Contribute to internal learning sessions, tech talks, and shared documentation. The Candidate You might be a good fit if you have experience with: • Building ETL/ELT pipelines using tools like Kafka, dbt, or custom frameworks., • Working with structured and unstructured data at scale., • Backend development in Python (or similar), and familiarity with data APIs., • Cloud data platforms (e.g., AWS Redshift, Azure Synapse)., • SQL and database design for analytics, reporting, and product use., • Agile collaboration with cross-functional teams. You don’t need experience in rail — just curiosity and a willingness to learn the domain.

AWS Solution Architect (Senior Manager) – London Location: London, UK Salary: Up to £115,000 Hiring on behalf of: A confidential global technology & consulting client Clearance: BPSS and SC clearance (requires 5 years of continuous UK address history). We are partnering with a major international organisation that is expanding its senior cloud leadership team in London. They are seeking an exceptional AWS Solution Architect (Senior Manager) to drive large‑scale cloud transformation programmes, define cloud strategy, and lead multi‑disciplinary teams delivering cutting‑edge cloud solutions. If you excel at shaping cloud strategy, architecting enterprise‑scale AWS solutions, and influencing senior stakeholders — this is a high‑impact opportunity within a world‑class technology environment. About Our Client Our client is a globally recognised professional services and technology organisation, delivering cloud, digital transformation, and advisory services across multiple industries. They invest heavily in innovation, talent development, and industry‑leading practices — making this a standout role for senior technologists looking to elevate their careers. This is an opportunity to work with tier‑1 clients, lead critical cloud initiatives, and help shape the strategic direction of a rapidly growing cloud practice. Team & Culture You will be part of a high‑performing cloud architecture team known for: • Close collaboration from cloud strategy through to delivery, • Access to leading experts across cloud, AI, data, and engineering, • A culture built on innovation, continuous learning, and shared success, • The opportunity to work with some of the biggest and most complex organisations in the UK This is an environment for leaders who enjoy solving strategic challenges and shaping the future of enterprise cloud adoption. What You’ll Do As a senior leader in the cloud practice, you will: • Define cloud strategy and governance models for enterprise AWS adoption, • Set cloud architecture standards aligned with complex business goals, • Drive innovation across data, AI, security, DevOps, and multi‑cloud ecosystems, • Lead large‑scale transformation programmes (data centre exit, legacy modernisation, cloud‑native rebuilds), • Ensure cloud solutions meet regulatory, security, and compliance frameworks, • Present cloud strategies to C‑suite and steering boards, • Mentor architects, consultants, and managers to build technical capability within the team, • Act as a cloud evangelist, educating customers on cloud value and best practice This role blends hands‑on architecture, strategic leadership, and stakeholder influence. What Our Client Is Looking For Experience • Extensive hands‑on experience designing and delivering AWS cloud solutions, • Proven leadership of large transformation programmes Certifications & Education • AWS Professional or Associate certifications (e.g., Solutions Architect, DevOps Engineer), • Bachelor’s or Master’s in Computer Science, Engineering, or related discipline Architecture Expertise Business Architecture • Ability to translate business requirements into secure, scalable cloud architectures, • Skilled in cost optimisation and cloud best practices Data & AI • Strong understanding of data platforms, analytics solutions, and AI/ML‑driven architectures Application Architecture • Experience with serverless, microservices, and containerised workloads, • Familiarity with CI/CD pipelines and DevOps practices Security Architecture • Deep knowledge of IAM, encryption, compliance frameworks, • Ability to enforce security controls across cloud environments Integration Architecture • Knowledge of event‑driven patterns, API design, and hybrid connectivity Non‑Functional Requirements • Expert in designing highly available, fault‑tolerant and resilient systems, • Experience with observability, monitoring, disaster recovery and performance tuning Governance & Compliance • Knowledge of cloud governance, cost allocation, account management, and auditing Desirable Experience • AWS Specialty certifications (Security, Networking, Machine Learning), • Experience with Azure or Google Cloud Why This Role Stands Out Joining our client as a Senior Manager means you will: • Influence cloud strategy at enterprise scale, • Lead high‑value, transformative programmes across multiple sectors, • Work with cutting‑edge AWS technologies on complex technical challenges, • Access exceptional career development pathways and certifications, • Receive a competitive package including 30 days annual leave, private medical cover, and additional charity leave, • Enjoy flexibility, autonomy, and high visibility across the organisation

Account Executive / New Business Seller – Cyber (DARPA funded, Series A, Hyper-Growth) We’ve just closed our Series A and are now scaling ziggiz at pace – this is a chance to get in early and help build the next generation of cyber data infrastructure. At ziggiz, we are the open security data control-plane that turns fragmented security logs into a unified, AI‑ready cyber lakehouse, so security teams can move from a cyber‑search world to a cyber‑analytics world. Our composable cyber platform ingests data from any source, automatically models and enriches it via an intelligent semantic layer, and delivers real‑time detections at petabyte scale – 5x faster onboarding, 25x processing efficiency, and up to 960x faster time‑to‑detect versus legacy SIEM ecosystems. All proven by DARPA We’re now hiring a high‑energy, hunter‑minded BDR to help us change how cyber services are consumed for good. The role You will: • Own new business pipeline: prospect, book and run first‑meetings with security and data leaders (CISOs, Heads of SecOps, Directors of Cyber Engineering, etc.)., • Run high‑impact discovery and product demos of the ziggiz platform, with full enablement and training from our team., • Translate messy security data pain (SIEM cost, fragmented pipelines, slow detections, AI readiness) into clear value stories around our cyber data plane., • Collaborate closely with our founders, product and engineering teams to shape narratives, improve demos and feed back market insight. About you You are likely: • 5–10 years into your sales career, with a strong track record in new business / hunting, ideally in cyber, data or broader SaaS., • Comfortable in technical conversations – you don’t need to be an engineer, but you enjoy talking about how data platforms, SIEM, lakehouses and AI fit together., • Familiar with cloud and data ecosystems such as Databricks, AWS, Azure and modern security tooling (SIEM, EDR, SASE, XDR, etc.), or very keen to learn quickly., • Adept at running structured discovery calls, mapping stakeholders and turning complex technical problems into compelling commercial outcomes. Why ziggiz? • Category‑defining tech: the world’s only real‑time security analytics platform that combines in‑stream analytics, full‑fidelity storage and a security semantic layer at any scale., • Real‑world impact: we help customers cut SIEM TCO by up to 80%, onboard new data sources in hours instead of months, and unlock AI‑ready security data foundations., • Serious technical pedigree: founded and advised by leaders from HSBC, Microsoft, Databricks, US government agencies and top cyber vendors, with patents filed around our semantic graph technology., • High‑leverage timing: we are fresh off our Series A, with strong design partners and go‑to‑market momentum, so your contribution will be highly visible., • If you want to sell something genuinely different – not just another dashboard – and you like working directly with senior technical and security stakeholders, this could be a great role for you

Senior React Engineer - £700 - £800 p/day – On-site (Central London) Overview We are hiring a Senior React Engineer to join a high-performance technology team within a leading financial services organisation operating in the oil and energy derivatives space. The business runs a cutting-edge electronic trading platform that serves both internal trading teams and external clients, offering low-latency, highly reliable trading access via a modern UI. We are looking for a self-starter who takes ownership of technical challenges and delivers robust solutions, with the ability to work under pressure in a fast-moving trading environment. You must also be a collaborative team player who communicates clearly and contributes to a high-quality engineering culture. Role & Responsibilities • Design, build, and maintain a React/TypeScript trading UI, delivering real-time streaming data and a seamless user experience, • Integrate the UI with RESTful and streaming APIs (built in Rust and Python), • Own performance improvements across dashboards, widgets, and live data visualisation, • Collaborate with QA and DevOps to enhance automated testing and deployment pipelines, • Lead efforts in securing, scaling, and monitoring the frontend environment, • Use observability tools (Prometheus, Grafana, Loki) to monitor UI health and performance, • Drive UI architectural decisions, performance benchmarking, and best practice implementation Essential Skills and Experience • Degree in Computer Science, Engineering, or a related field, • 5+ years of experience in frontend/UI engineering, with a focus on performance and scale, • Deep expertise in React, TypeScript, and JavaScript, • Strong understanding of WebSocket integration, low-latency data streaming, and threading, • Experience troubleshooting data-heavy UIs and optimising load times, • Familiarity with tools like Redis, Kafka, and cloud platforms such as Azure or AWS, • Proficient in Git and modern source control workflows, • Knowledge of performance diagnostics (e.g. Google PageSpeed Insights) and responsive UI optimisation Desirable Skills and Experience • Experience deploying apps to the Apple App Store, • Knowledge of web security best practices and cyber threat mitigation, • Familiarity with microservices and REST API architecture, • Exposure to Infrastructure as Code tools (e.g. Terraform), • Experience working with real-time trading or data visualisation platforms Package: • Initial 12 month contract (high possibility of extension), • Up to £800 p/day (dependent on level of experience), • Outside IR35, • On-site (Central London)

Role Summary: Job Title: Network Engineer (Mid, Senior, Lead) Job Type: Permanent Pay: £40,000 - £75,000 + Bonus + Benefits Benefits Summary: Private Pension, Healthcare, Mentoring opportunities Location: London - Hybrid working (3-5 days in office) Security Clearance: Must already hold active DV Clearance About the client: Our client is a global powerhouse in the digital transformation space, acting as a critical bridge between complex technology and the essential services that keep the UK running. They aren't just an IT provider; they are the architects of the UK’s most secure and vital infrastructure. Imagine working for a company that designs the digital backbone for national security and public safety, ensuring that the most sensitive data in the country is managed with absolute precision. With a massive international footprint and a reputation for tackling the "impossible" projects, they offer an environment where your work literally protects the fabric of modern society. About the job: This is a high-impact role within the Aerospace, Defence, and Security sector, specifically supporting a monumental project for National Security. As a Network Engineer, you will be at the sharp end of technical evolution, moving beyond simple maintenance into the realm of designing, building, and deploying large-scale enterprise networking platforms. You will be a technical authority, taking ownership of complex solutions and guiding a team of engineers through the intricacies of modern defence-grade networking. Key Responsibilities: • Drive the end-to-end design, build, and deployment of enterprise-leading network solutions., • Take ownership of the proactive monitoring and maintenance of all production systems to ensure 100% uptime., • Lead investigations into complex service problems, creating and implementing robust recovery plans., • Respond to rapid operational requirements in support of critical defence activities., • Provide strategic project support and mentor junior team members to foster a culture of technical excellence. Key Skills: CCNA, CCNP, Cisco Routers, Cisco Switches, Cisco Firewalls, Wireless Access Points, ITIL, TCP/IP, DHCP, DNS, ACLs, Cisco ACI, VMware NSX, Azure Networking, AWS Networking, Ansible, NSD. How to apply: Please either apply through this advert or emailing me directly via . For further information please call me: +44 7441 342136. By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only.

Role: Senior AI Engineer Project: Industrial AI solutions • Reliability and corrosion, • Well and reservoir facility management, • Process engineering Location: London (Hybrid - 3 days per week) Rate: £700-800/day (Inside IR35) Contract: 6 months initial (multi-year scope) X4 Technology are partnered with a global Oil & Gas organisation offering the opportunity for a contract Senior AI Engineer to design and deliver advanced AI and machine learning solutions for enterprise-scale industrial applications. This role will focus on applying AI to reliability, corrosion, well and reservoir facility management, process engineering and advanced sensing technologies, delivering intelligent systems that drive operational performance and asset insight. Responsibilities of the Contract Senior AI Engineer (Oil & Gas) • Design and deploy advanced AI models including deep learning, graph neural networks, generative AI and vector embeddings to create adaptive systems that continuously learn from operational data., • Build scalable AI platforms and pipelines to support enterprise-grade model training, deployment and lifecycle management., • Develop generative and retrieval-augmented AI systems leveraging LLMs, vector databases and modern AI tooling to unlock insights from complex technical datasets., • Apply computer vision and sensor-driven AI including object detection, sensor fusion and advanced analytics for real-world industrial use cases., • Lead AI architecture and innovation, shaping strategy, evaluating emerging technologies and guiding production deployment of AI solutions. Requirements for the Senior AI Engineer • STEM degree with 5+ years delivering AI / ML solutions in industry., • Proven track record building and deploying production AI systems at scale., • Strong Python expertise with modern ML frameworks including PyTorch, TensorFlow, Scikit-Learn, JAX, XGBoost, OpenCV and Transformers., • Experience developing LLM and generative AI solutions, including RAG architectures, LangChain, vector databases and cloud ML deployment., • Strong stakeholder communication skills, • Nice to haves: Experience in industrial/energy environments, enterprise AI platforms (Azure ML, Foundry, Databricks) or agentic AI systems This is a 6-month initial contract with long-term programme scope, with interviews scheduled for W/C 16th March. If you’re a Senior AI Engineer with experience building production AI systems, ideally in the industrial space, please apply now for immediate consideration.

About the Role: Grade Level (for internal use): 09 The Team: OTC Derivatives Data provides consistent and reliable curve and volatility data for over-the-counter derivatives in support of trading, research, valuation and independent price verification. As a Java/Clojure Engineer, you'll work closely with our product and data specialists across all asset classes, extending our platform while maintaining high test-coverage, automated deployment, and regular delivery cycles. Responsibilities and Impact: • Develop new software and enhance existing applications to high standards, adhering to best practices for user experience, scalability, performance, and security, • Collaborate with business analysts and product specialists on platform maintenance and improvements, providing technical support and guidance, • Work with the global OTC Derivatives Data development team on all platform aspects including infrastructure, architecture, and asset class coverage, • Maintain clear communication with all stakeholders, providing regular progress updates to managers, peers, and leads, • Establish productive working relationships with key product stakeholders, • Support and maintain applications by investigating and resolving issues to ensure business continuityWhat We're Looking For: Basic Required Qualifications: • Bachelor's degree in Computer Science, numerate discipline, or equivalent experience with approximately 3 years working on distributed Java platforms and web technologies, • Experience with modern Java versions (such as Java 17, 21), • Willingness to learn and work with Clojure, • Proficiency in both UNIX/Linux and Windows environments, • Strong understanding of agile software development methodologies, • Solid grasp of fundamental software engineering principles including object-oriented design, databases, algorithms, and data structures, • Excellent design and problem-solving skills with experience providing architectural guidance, • Motivation to acquire knowledge of the financial sector (understanding of derivatives is advantageous)Additional Preferred Qualifications:, • Experience with functional programming languages like Clojure, • Familiarity with database technologies including distributed databases (such as Datomic, DynamoDB, or similar), • Experience with cloud platforms such as AWS, Azure, or GCP, including services like object storage, serverless computing, and caching solutions, • Experience mentoring team members and contributing to technical decision-making About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit . What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: • Health & Wellness: Health care coverage designed for the mind and body., • Flexible Downtime: Generous time off helps keep you energized for your time on., • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills., • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs., • Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to:" "and your request will be forwarded to the appropriate person." US Candidates Only: Know Your Rights: Workplace discrimination is illegal 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)

About Verifi Verifi is an expanding global SaaS and IoT technology company focused on the construction industry. Dedicated to connecting the physical world with intelligent software. We are revolutionising the industrial construction space. We provide end-to-end solutions—from embedded sensors to cloud-based analytics—that help companies boost efficiency, ensure sustainability, and unlock actionable insights. We are building a supportive, high-performance team to drive the next wave of digital transformation. Join us to build, scale, and innovate at the edge. The Role We're looking for a full-stack software engineer with Angular, TypeScript, and Node.js experience to help build the next generation of Verifi's SaaS platform. You'll be contributing to both frontend and backend development, learning from experienced engineers, and working closely with domain experts in the space. You'll operate in a fast-moving, collaborative environment—building scalable features and services with Angular and Node.js on Azure, while learning to ensure our products remain performant, maintainable, and customer-centric across the entire application stack. What You’ll Do • Write clean, maintainable code across the Angular frontend and Node.js backend services., • Learn and contribute to full-stack architecture—understanding patterns, quality standards, and modern best practices for both client and server-side development., • Collaborate cross-functionally with Product Management, Design, QA, and Customer Success to understand requirements and deliver features in iterative cycles., • Contribute to designing and implementing products that are easily monitored, maintained, scalable, and supported throughout the product lifecycle., • Work with Platform Engineering to understand how the product leverages shared capabilities, tools, and infrastructure., • Learn from senior engineers through code reviews, technical discussions, and architectural guidance., • Learn and apply testing best practices and automation (unit, integration, and E2E) across frontend and backend, integrating quality into every build., • Participate in discovery and experimentation, using insights from Product and Customer Success to understand customer needs., • Contribute to API design, database schema development, and server-side logic implementation. What You Bring • 5+ years building modern web applications with Angular for the frontend., • Experience with Angular, familiarity with cry state management (NgRx/Signals), routing, forms, component composition, and performance concepts., • 5+ years of experience with Node.js, building APIs. Knowledge of GraphQL is a plus., • Familiarity with backend concepts such as RESTful APIs, database design, server-side logic, and API security., • Strong communication skills and a collaborative mindset required., • Willingness to learn data-driven approaches, aligning engineering decisions with measurable impact. Preferred: • Experience building interactive and responsive dashboards with near-time and streaming data., • Interest in learning GraphQL federation, persisted queries, and client caching strategies (Apollo)., • Knowledge of Azure technologies, Web Apps, API-M, IoT Hub, and Event Hub is a plus., • Interest in SaaS scale-ups or B2B platforms, ideally within IoT or industrial technology environments. Education • Bachelor’s degree in computer science or related field – Required

Technical Lead / Solution Engineer (Salesforce) London | Permanent | Hybrid £100,000 - £120,000 + bonus + benefits We’re looking for a Technical Lead / Solution Engineer to join a high-impact Salesforce transformation programme. You’ll play a key role in delivering and evolving a global Salesforce ecosystem across multiple lines of business. This is a hands-on leadership role, combining solution architecture, technical delivery, and business engagement. You’ll have the autonomy to lead initiatives, influence architectural decisions, and step up when senior leadership is unavailable. What You’ll Be Doing • Lead solution design and technical delivery across Salesforce and integrated platforms, • Collaborate with Architects, Product Owners, Developers, and Testers to deliver scalable, high-quality solutions, • Translate business requirements and customer journeys into technical designs, • Challenge and influence architectural decisions to optimise outcomes, • Provide hands-on technical leadership, mentoring developers and reviewing code where needed, • Drive adoption of modern engineering practices (CI/CD, cloud, event-driven architecture), • Support Agile delivery across global teams and remove technical blockers, • Ensure compliance with financial regulations, data privacy, and governance standards Key Skills & Experience Essential • Strong Salesforce (Sales Cloud) experience, • Proven background as a Technical Lead / Solution Architect / Solution Engineer, • Experience with:, • AWS (Glue, AppFlow), • Java development, • API integrations (REST/SOAP), • CI/CD pipelines & cloud deployment (AWS/Azure), • Experience working across business requirements / user journeys (BA background beneficial), • Strong understanding of data models, MDM, and ETL processes, • Experience in Agile environments Leadership & Stakeholder Skills • Experience managing or mentoring developers and QA teams, • Strong communication skills with the ability to challenge and influence stakeholders, • Comfortable working with architecture review boards and senior leadership, • Ability to operate independently with confidence and gravitas Desirable • Experience in insurance, • Understanding of financial regulations (data privacy, compliance, etc.), • Consultancy background working with insurers, • Salesforce ecosystem knowledge including:, • Flows, Apex, LWC, • Data management & integrations, • Security & sharing models The Team & Environment • Part of a global technology function supporting business operations globally, • Multiple Salesforce teams globally, with distributed engineering across the UK and US, • Collaborative Agile environment with strong cross-functional partnerships Additional Information • Start date: ASAP (flexible for the right candidate), • Candidates must have the right to work in the UK Why Join? You’ll be part of a global insurer investing heavily in technology, working on a high-visibility Salesforce programme with real impact across the business. This role offers a rare mix of technical leadership, strategic influence, and hands-on delivery.

Senior Data Engineer - London London (Hybrid – 3 days in office | Monday, Tuesday, Wednesday) Up to £85,000 dependent on experience Ref: J13073 We’re working with a fast-growing AI SaaS business where data sits at the core of everything they build. They’re looking for a Senior Data Engineer to take ownership of the pipelines that power their platform. You’ll be working with real-world, messy data and shaping it into reliable, decision-ready datasets used across product, analytics, and machine learning. Python/PySpark and SQL are central to the role. The Role: • You’ll design and maintain data pipelines, handle edge cases, and ensure data quality as the platform scales., • The environment is modern and cloud-based, using tools such as AWS, GCP or Azure, alongside Spark, Snowflake or BigQuery., • You’ll also play a key role in supporting and mentoring other engineers through code reviews and collaboration., • You’ll be joining a supportive team that values different perspectives, encourages thoughtful problem solving, and gives engineers the space to contribute in their own way. What we’re looking for: • Strong Python and SQL experience in production, • Experience with Spark, Snowflake, BigQuery or similar, • Cloud experience (AWS, GCP or Azure), • Comfortable working with complex, messy data, • Experience owning pipelines end-to-end, • Collaborative mindset with mentoring experience If you enjoy building the data foundations behind AI products, this could be a great fit. Get in touch today to find out more Right to work in the UK required (no sponsorship available) If you have a friend or colleague who may be interested, referrals are welcome. For each successful placement, you will be eligible for our general gift or voucher scheme. Datatech is one of the UK’s leading recruitment agencies specialising in analytics and is the host of the critically acclaimed Women in Data event. For more information, visit .

Role: Senior AI Engineer – M&A & Platform Modernisation Location: London (Hybrid) Employment Type: Permanent Level: Senior / Lead Reporting to: Head of AI / Engineering Director Role Overview We are looking for a Senior AI Engineer with deep experience operating in M&A environments and delivering AI‑enabled application and platform modernisation (“ACP‑isation”) initiatives. This role sits at the intersection of AI engineering, cloud platforms, and enterprise transformation, supporting acquisitions, carve‑outs, and post‑merger integration through scalable, production‑grade AI solutions. You will work closely with architecture, cloud, data, and business stakeholders to accelerate value realisation across complex technology estates. Key Responsibilities AI Engineering & Delivery • Design, build, and deploy production‑grade AI/ML solutions, including:, • LLM‑enabled applications (RAG, agents, copilots), • Predictive models and intelligent automation, • AI services embedded into modernised platforms, • Own end‑to‑end AI lifecycle: discovery, PoC, productionisation, monitoring, and optimisation, • Support technology due diligence from an AI, data, and architecture perspective, • Analyse and rationalise overlapping application stacks, data estates, and AI capabilities, • Design AI‑led approaches for:, • Post‑merger integration, • Carve‑outs and separations, • Rapid capability uplift in acquired entities, • Lead AI components of application modernisation and platformisation programs, • Migrate legacy or fragmented AI workloads to cloud‑native, containerised platforms, • Embed AI into modern architectures:, • Event‑driven systems, • Microservices, • Data platforms and control planes, • Work with cloud and enterprise architects to define target AI architectures, • Collaborate with product owners, data engineers, and platform teams Core Technical Skills • Strong hands‑on experience with Python, and at least one of:, • TensorFlow, PyTorch, scikit‑learn, • Practical experience with LLMs and Generative AI, including:, • Prompt engineering, • Retrieval‑Augmented Generation (RAG), • Agentic workflows, • Experience deploying AI on cloud platforms (Azure, AWS or GCP), • Proven experience working in M&A, carve‑out, or post‑merger integration contexts, • Comfortable operating in ambiguous, high‑pressure transformation environments, • Application and platform modernisation (legacy → cloud‑native), • AI embedded into enterprise platforms, control planes, or shared services, • Strong stakeholder communication and documentation skills, • Ability to balance speed vs. risk in commercial M&A situations, • Experience in regulated environments (financial services, healthcare, energy), • Exposure to Responsible AI, model governance, and AI risk management, • Knowledge of integration patterns for multiple ERP, CRM, or core systems, • Previous experience in consulting, PE‑backed organisations, or scale‑ups

Im currently looking for a DevOps Engineer to join my client on a six-month contract. There is a strong possibility that this will extend. You will need to have experience with Azure DevOps, GitHub and Octopus. You will need to have knowledge how to connect to database and run SQL statements. Job Overview DevOps - Azure DevOps, Octopus, Github This is not a Data Engineering role - you will need to know how to connect to database and run SQL Statements Knowledge of Python Knowledge of Databases - Snowflake This contract is Inside IR35 and hybrid working Interviews are happening ASAP. If you would like to discuss this opportunity, call me Subeg Lehl or send me a latest copy of your CV.

At ScaleneWorks People Solutions, we're more than recruiters; we're career architects dedicated to connecting exceptional talent with top-tier opportunities. Backed by industry experts, we prioritize relationships, offer global opportunities, and champion your success every step of the way. Ready to shape your future? Explore opportunities with us today. We are looking for Python AI Engineer with Databricks exposure Role for our well-known client. • Location: London UK, • Type of Work: Hybrid (2-3 days from the office in a week), • Employment Type: FTE (Full Time Employment) or Inside IR35 Contract Overview We are looking for a Python AI Engineer (with Databricks exposure) with hands-on experience in Generative AI, backend development, and database-driven applications. The role involves designing and building AI-enabled applications, developing APIs and services to deploy AI models, and integrating them with enterprise databases and cloud platforms. The candidate should be comfortable working across AI solution design, backend development, and data engineering. Key Responsibilities • Design and develop AI and Generative AI applications using Python., • Build backend services and APIs using Flask or Django for AI-powered systems., • Work with enterprise databases (SQL-based systems) to ingest, transform, and manage large datasets., • Develop and integrate GenAI capabilities such as LLM-powered workflows, AI assistants, or automation tools., • Design scalable architectures for AI solutions including model deployment and data pipelines., • Build REST APIs and microservices to integrate AI models with enterprise applications., • Work with cloud platforms (Azure preferred) to deploy and scale AI applications., • Collaborate with data engineers, product teams, and domain experts to build production-grade AI solutions. Required Technical Skills • 7+ years of experience as a Python developer which atleast the last 3+ years have been on AI / GenAI solutions, • GenAI / AI development experience: LLM applications, AI workflows, or AI-enabled automation, • Python development: Strong coding and data processing experience, • SQL and database experience: Querying, data modeling, and data integration, • Backend frameworks: Django or Flask, • API development: RESTful services and microservice architecture, • AI system architecture / solution design: Designing scalable AI applications, • Cloud platforms: Azure AI services preferred, • Strong problem solving and analytical thinking, • Ability to work in cross-functional teams, • Good communication and collaboration skills Ready to Take the Next Step? If you're ready to embark on an exciting journey with ScaleneWorks, we’d love to hear from you! Submit your resume today and let’s unlock new possibilities together KRAZ nr. 28233

ROLE OVERVIEW // We are seeking a technically adept Application Engineer to join our Business Systems team in the Technology department. You will be part of a cross-functional team of engineers who are responsible for the configuration, development, implementation, security and support of the firm’s business-critical applications. You will act as a technical product owner and subject matter expert for the firm’s Azure integrations. You will work with other applications, such as the Master Data Management system, as needed. KEY RESPONSIBILITIES // Application Management and Development • Manage the configuration, deployment and ongoing support of Azure integrations., • Develop, test and optimise Azure integrations., • Serve as one of the firm’s technical experts for Azure Integration Services., • Assist with developing, testing and optimising enhancements to the MDM and other applications, as required., • Monitor usage and performance, proactively addressing issues and identifying opportunities for improvement., • Collaborate with stakeholders to gather requirements and translate them into practical application changes or enhancements., • Maintain documentation related to application change control and configuration, processes and procedures. Technical Expertise and Product Ownership • Serve as a primary subject matter expert (SME) for Azure Integration Services, providing deep knowledge and proactive support., • Serve as a secondary subject matter expert for the MDM and other applications, as required., • Own the technical direction of the applications you are responsible for, ensuring alignment with the Technology roadmap, business strategy and user needs. Stay informed of product updates, upgrades, and roadmap developments, ensuring optimal use of the software., • Troubleshoot and resolve complex technical issues, escalating to third-line support or vendors where necessary., • Maintain and prioritise the product backlog, including new features, upgrades, maintenance tasks and defect resolution., • Participate in or lead agile ceremonies such as sprint planning, backlog refinement and retrospectives., • Collaborate with internal teams to evaluate and approve technical design decisions, architectural changes and security implications. Stakeholder and Vendor Engagement • Act as a primary liaison between internal users, procurement, support teams, engagement and software vendors for the applications you are responsible for., • Engage regularly with application stakeholders and users to ensure they are informed of progress and change, and to monitor and improve user experience., • Manage vendor relationships, including coordinating support cases, overseeing service levels, and negotiating enhancements or customisations., • Work closely with the internal Problem Management team. Cybersecurity and Risk • Ensure applications comply with internal and external security policies and best practices., • Implement controls to safeguard application data, access, and integration points., • Participate in audits, risk assessments, and business continuity planning as it relates to the applications you are responsible for. CANDIDATE PROFILE // Candidates for this position must have: Essential • Expert knowledge of Azure Integration Services, • Strong experience developing Logic Apps, Function apps and custom Excel add-ins., • Expert knowledge of C#, .NET and Blazor., • Excellent stakeholder engagement, communication, training and documentation skills, including the ability to communicate well with both technical and non-technical audiences., • Enjoy working as part of a close-knit team., • Willingness to be flexible, learn new skills and take on additional responsibilities. Desirable • Familiarity with Master Data Management solutions., • Familiarity with other major systems the firm uses, including iManage products, Elite 3E, Workday and Carpe Diem., • Familiarity with DevOps, Copilot and GitHub., • Familiarity with legal sector compliance and IT security standards (e.g. GDPR, ISO 27001, Cyber Essentials Plus)., • Experience in the legal sector or a similar highly regulated environment., • Experience with agile or iterative delivery methodologies and velocity coding. We welcome applications irrespective of race, colour, ethnic or national origin, disability, sex, gender identity, sexual orientation, age, religion, belief or marital status.

Department Tech Employment Type Full-time, London Office Attendance Expectation Hybrid About the role At &Dine, we’re building a community of food lovers, connecting exceptional independent makers with teams who want better food at work. We’re looking for a Senior Software Engineer who cares about quality, performance, and product impact - someone who enjoys solving real-world problems at scale and shaping how a platform grows, not just writing code. You’ll work across front-end, back-end, and infrastructure, partnering closely with product, operations, and design to deliver reliable, elegant solutions across ordering, payments, logistics, and internal tools. What you'll be doing • Lead development across key product areas from concept to production, • Build high-quality front-end features using a modern JS stack (Vue/Nuxt or similar), • Design and maintain scalable APIs and services in Node.js with SQL/Sequelize, • Mentor junior engineers through code reviews, pairing, and technical guidance, • Help shape our technical roadmap and introduce new tools, frameworks, and practices where they make sense, • Own technical decisions around architecture, performance, and reliability, • Collaborate with product and operations to translate business needs into robust solutions, • Improve system observability, monitoring, and incident response, • Identify technical debt and proactively drive refactors, • Support CI/CD, deployment pipelines, and environment management What we're looking for • Strong experience as a Senior Software Engineer or equivalent, • Proven ability to guide and support junior developers, • Deep knowledge of modern front-end frameworks (Vue, React, or similar), • Solid back-end experience with Node.js and relational databases (Postgres/MySQL) using ORMs such as Sequelize, • Confidence in evaluating and adopting new technologies pragmatically, • A product-led mindset: you care about outcomes, not just implementations, • Comfortable in a fast-moving startup environment, • Clear communicator across technical and non-technical teams, • A genuine interest in food, hospitality, or building better workplace experiences Front-end Experience with some of the following, or a strong willingness to learn: • JavaScript / TypeScript – modern ES standards, async patterns, clean architecture, • Frameworks – Vue / Nuxt (or React / Next.js), component-based development, • State management – Vuex, Pinia, or equivalent patterns, • API integration – REST/JSON, error handling, loading states, • Performance – bundle optimisation, code splitting, rendering strategies, • Accessibility & UX – semantic HTML, responsive design, usability best practice, • Testing – unit and component testing (Jest, Vitest, Testing Library, Cypress/Playwright), • Version control – Git workflows, PR reviews, and collaboration Back-end Experience with some of the following, or a strong willingness to learn: • Node.js – building scalable, maintainable services, • APIs – RESTful design (GraphQL a plus), authentication, validation, rate limiting, • Databases – PostgreSQL / MySQL, schema design, indexing, query optimisation, • ORMs – Sequelize or similar (migrations, associations, transactions), • Business logic – handling payments, scheduling, pricing, permissions, and workflows, • Testing – unit, integration, and API testing, • Security – data protection, authentication, role-based access, and best practices DevOps/Infrastructure Experience with some of the following, or a strong willingness to learn: • CI/CD – GitHub Actions, GitLab CI, or similar automated pipelines, • Cloud platforms – AWS, GCP, or Azure, • Containerisation – Docker and environment configuration, • Deployments – staging/production environments, rollback strategies, • Monitoring & logging – error tracking, performance monitoring, alerting, • Reliability – uptime, backups, and incident response Engineering Practices • Writing clean, maintainable, well-documented code, • Code reviews and constructive technical feedback, • Coaching juniors and helping them level up technically, • Evaluating new technologies and introducing them where they deliver clear value, • Designing systems with scalability, performance, and security in mind, • Pragmatic decision-making in a startup environment Bonus points if you • Have led or owned major product areas or technical initiatives, • Have introduced new tools, frameworks, or processes that improved delivery or quality, • Have experience with Nuxt, server-side rendering, or marketplace platforms, • Have any of the certificates LPIC-1, LPIC-2 or AWS associate, professional or specialist, • Have experience being Security Champion and knowing STRIDE, PASTA and Hybrid, • Have worked on B2B, payments, logistics, or operationally complex systems, • Care deeply about food, hospitality, and how shared meals bring people together Benefits of working at &Dine • Join our options pool and be a business owner!, • £250 learning and development budget. Here we’ve got some courses that may be beneficial to your development at &Dine., • Charlie HR. Secure great offers too from top retailers such as John Lewis and Samsung via our HR Platform., • Enjoy your birthday. Take a day off for your birthday - on us!, • £500 referral bonuses. If you bring in a new face to the business, once they have passed their probation period, you will receive £500!, • Team socials. We’re big foodies, so you’ll be sure to enjoy some food and drink with us, as well as some great activities!, • Work abroad for 1 week

Do you want to shape how LLMs are deployed at scale in a real business? Have you built RAG or agentic systems that moved beyond experimentation? Are you motivated by measurable customer and commercial impact, not demos? A private-equity-backed consumer services business is scaling its Data Science & AI capability as part of a multi-year transformation. Following an award-winning data programme, the company now has an established AI function and is investing further in LLM-powered assistants, RAG pipelines, voice/chat intelligence and early agentic workflows across both customer-facing and internal products. This Senior AI Engineer role is a hands-on individual contributor position, sitting between Data Science and AI Engineering. You will lead AI proof-of-concepts, design retrieval and context strategies, contribute to the AI architecture, and ensure solutions are robust, scalable and commercially grounded. The role spans the full AI lifecycle, from data preparation and model evaluation through to deployment and optimisation. Key responsibilities • Lead development of LLM and AI proof-of-concepts, • Design and implement RAG pipelines and agentic workflows, • Define evaluation frameworks for LLM quality and response accuracy, • Partner with product and engineering on chat flows and continuous improvement, • Contribute to AI platform architecture and best practices, • Mentor junior ML / AI engineers (no formal line management) Key details • Salary: £80,000 base + 10% bonus, • Pension: 5% matched, • Working model: Hybrid, 3 days per week (Tuesday & Wednesday fixed), • Location: Central London, • Stack: Python, Databricks, RAG, vector databases, Azure (preferred), LangChain / LangFuse, • Visa: This role cannot sponsor Interested? Please apply below.

Identity | Engineer | Admin | Architecture | Entra ID | Terraform | Azure | Cloud | On Prem 🚀 Principal Platform & Identity Engineer (Hands‑On, Hybrid Architect Role) Location: London / Hybrid Salary: £90,000 + bonus + benefits Industry: Enterprise / Retail / Large-Scale Environment Type: Permanent 🔍 The Role Are you tired of roles that force you to choose between pure support and pure architecture? This opportunity sits right in the middle. You’ll design, build, operate, and evolve a modern enterprise platform, taking full ownership of identity, automation, and infrastructure services across both on‑prem and cloud environments. This is a hands-on technical leadership position within a large, high‑profile organisation undergoing significant infrastructure transformation over the next 3–5 years. If you want a role where you won’t get boxed in, where you can use your breadth across identity, cloud, automation, and infrastructure, this is the one. 🎯 What You’ll Work On • Own & evolve enterprise identity + infrastructure strategy, • Design, build & operate the next‑gen platform, • Drive IaC & automation (Terraform, Ansible, GitLab), • Partner with Security & Architecture, • Act as senior technical authority during incidents, • Support shift to modern “as‑a‑service” models 🧠 What You Bring Identity (priority): Entra ID, AD, Azure SSO, Conditional Access, App Registrations, One Identity AR, JIT/ZTNA, ideally zScaler Infra & Platform: VMware (VCF), Linux, Microsoft stack, data centre fundamentals, networking Automation: Terraform, Ansible, GitLab CI/CD Plus strong communication, stakeholder influence, and the ability to think in platforms, not tickets. 📩 Want to know more? If you’re a Senior Engineer with architectural capability, or a hands-on architect who still enjoys real engineering, apply directly for immediate consideration Identity | Engineer | Admin | Architecture | Entra ID | Terraform | Azure | Cloud | On Prem

Senior Data Engineer | Azure & Snowflake | Enterprise Data Platform in Alternative Asset Management Salary: £100,000 Location: Central London, 3 to 4 days onsite You will be joining a global technology consultancy to help design and deliver long-term, enterprise-grade data platforms that enable data-driven decision-making across complex, multi-line organizations. This is a high-impact role within a growing data engineering practice, focused on building modern cloud-based solutions that power analytics, reporting, and business intelligence at scale for enterprise clients. The Role You will design, build, and optimise a scalable, cloud-native data platform that acts as the foundation for business-critical insight. You will work closely with stakeholders across the business, translating requirements into robust, production-grade data solutions. This is a hands-on engineering role where you will take ownership of pipelines, models, and performance. In this role, you will: • Design, build, and maintain scalable data pipelines in Azure and Snowflake, • Develop and optimise ETL and ELT processes for batch and micro-batch workloads, • Build and enhance enterprise data warehouse models, • Write and optimise complex SQL queries for analytics and reporting, • Ensure data quality, reconciliation, and consistency across multiple sources, • Partner with BI teams to support dashboards and reporting tools, • Contribute to platform architecture decisions, • Continuously improve reliability, scalability, and performance You will be expected to work from the Central London office three to four days per week to enable close collaboration with technical and business stakeholders. Requirements & Technical Environment • 7+ years software engineering experience, including 5+ years with data-intensive systems, • 2+ years hands-on experience with cloud data platforms (Azure preferred), • Strong expertise in Azure Data Factory, Azure SQL, Azure Storage, Azure Functions, and Snowflake (1+ year), • Advanced SQL skills, including complex ETL and dimensional/data modeling, • Experience building batch and micro-batch data pipelines, • Deep understanding of enterprise data warehouse architecture and methodologies, • Experience working with large-scale enterprise datasets, • Strong analytical mindset with a focus on data quality Nice to Haves • Snowflake performance tuning and cost optimisation, • Python, • Databricks, • End-to-end data platform architecture, • Enterprise BI platforms, • CI/CD pipelines, • Infrastructure-as-Code Employee Benefits • £100,000 base salary + bonus, • Pension, life assurance, private healthcare and wellness allowance, • 25 days holiday plus bank holidays, • Funded certifications and learning platforms, • Corporate equipment provided, • Hybrid working, • Visa sponsorship and relocation support Senior Data Engineer | Azure & Snowflake | Enterprise Data Platform in Alternative Asset Management

Job Title: Sr. Software Engineer Work Schedule: Onsite 5 days Location: London, England Job Summary: We are looking for a hands-on Senior Software Engineer to own and accelerate our product delivery pipeline — from back-end database optimization to client-facing interactive dashboards and reporting platforms. This is a builder role. You will work directly alongside the Head of Data & Customer Analytics to identify bottlenecks, design improvements, and push products from backlog to production. You will be embedded in a small, high-output team where your contributions are immediately visible and impactful. Responsibilities: • Optimize and maintain a Treasury Dashboard hosted in client Azure environments (currently Streamlit-based; you will evaluate and drive the framework roadmap), • Lead the build of a web-based, interactive Risk Reporting platform — replacing a PDF solution with a scalable, multi-prime broker plug-and-play product, • Reduce client onboarding time for new reporting deployments to under two weeks, • Improve load times and performance across existing data pipelines and dashboards, • Integrate external and client-side data sources into existing reporting infrastructure, • Work across the full stack: database layer, back-end logic, front-end delivery. Qualifications: • Advanced Python: data processing, scripting, web frameworks (Streamlit, Django, or equivalent), • C / C++: performance optimisation, low-level processing, • Java: application-level development, • Microsoft Azure: cloud deployment and hosted application environments, • Database optimisation: SQL, query tuning, load performance, • Front-end development: web performance, interactive UI components, data visualisation, • Experience building or replicating BI/reporting tools (Tableau-equivalent functionality, interactive charts, drill-down tables)

🧱 Databricks Data Engineer | London | £60,000 - £75,000 🧱 Peaple Talent have partnered with a specialist data consultancy delivering services across data engineering, data strategy, data migration, BI & analytics. As a trusted Microsoft Partner, my client are leaders in the industry, with a diverse portfolio of clients and projects. Due to exciting growth plans we are now looking for a Data Engineer, specialising in Databricks. We are looking for: • Demonstratable data engineering/BI skills, with a focus on having delivered in Microsoft Azure or AWS, • Strong experience designing and delivering data solutions in Databricks, • Proficient with SQL and Python, • Experience using Big Data technologies such as Apache Spark or PySpark, • Great communication skills, effectively participating with Senior Stakeholders Nice to haves: • Azure/AWS Data Engineering certifications, • Databricks certifications What's in it for you: 📍Location: London (Hybrid) 💻Remote working: Occasional office visits each month 💰Salary: £60,000-£75,000 DOE 🤝Collaborative culture and great team support 📈Vast L&D opportunities both internally and externally

🚀 Fullstack Engineer (React / TypeScript / Python)🚀 📍 London / Hybrid 💰Outside IR35 - rate depending on exp 📅 April start to September We’re supporting on a design and build of a specialist Management Information System (MIS) in the Education space and are looking for a Full Stack Engineer with strong experience delivering production-grade applications across both frontend and backend. 🔑 The Role • Building a complexed app to handle data entry and visualisation, • React (TypeScript), • Design & build scalable APIs using Python (FastAPI), • Owning end-to-end features across FE & BE, • Contribute to architecture, code quality & best practices 🎯 What We’re Looking For 👉 Strong React + TypeScript experience 👉 Solid backend skills with Python (ideally FastAPI) 👉 Proven experience building fullstack products end-to-end 👉 Background working on complexed and data heavy products 👉 Exposure to data pipelines / ETL ➕ Nice to have • Azure / cloud experience, • IaC (Terraform / OpenTofu), • Experience with AI tools or LLM integrations

Hive Science is a tech start-up whose technologies are in use by many of the world’s largest brands including Land Rover, Edward Jones & Kroger. The Hive platform is delivering novel intelligence at the intersection of quantitative social psychology, behavioral science & AI/ML to accelerate & transform how work is done. We’re looking for our go-to infrastructure partner to join our team and get on board this rocket ship with us. About the role: This is an exciting opportunity to be part of a psychological science-based tech startup. This role sits within our product team and will be responsible for building, maintaining, and scaling the infrastructure that powers Hive’s next generation of products. This Senior DevOps Engineer will roll up their sleeves and help us continually evolve the foundation of our platform, enabling faster delivery speed and greater scale, as well as supporting new generative AI and machine learning technologies. We’re looking for someone who can bring strong infrastructure and automation expertise, and who can work closely with engineering and data science teams to support rapid product development & launch. Important Details · Location: Hybrid (3 days/week in office). Candidates must currently reside within commuting distance of London, UK. · Employment Type: Full-time · Work Authorization: Candidates must have existing right to work in the UK. Visa sponsorship is not available for this role. · To Apply: Submit your CV to What You’ll Be Doing: As a Senior DevOps Engineer (Product), you’ll be responsible for the reliability, scalability, and security of our entire infrastructure stack; from CI/CD pipelines to production deployments, from infrastructure orchestration to security governance. You’ll be part of a high-powered team located in London. You will build robust systems, move quickly, but be ready to scale and ensure production-grade reliability as our product grows. You will constantly need to be at the cutting edge as we deploy and scale the latest AI capabilities within our core platform. We can’t define everything you will be doing because some of it is unknown based on the disruptive world we live in and you need to be the kind of person ready to pivot at speed and stay at the bleeding edge of this new world. Key areas of responsibility include: Infrastructure & Cloud Engineering: • Design, provision, and manage scalable cloud infrastructure using Infrastructure-as-Code (Terraform, CloudFormation) across AWS (must have deep experience), GCP, or Azure., • Architect and maintain highly available, fault-tolerant systems that support our AI/ML workloads, web applications, and data pipelines., • Manage containerization and orchestration platforms (Docker, Kubernetes, ECS) to support microservices and ML model deployments. CI/CD & Automation: • Build and maintain robust CI/CD pipelines (GitHub Actions, CircleCI, Jenkins) to automate testing, builds, and deployments across dev/staging/production environments., • Implement MLOps workflows to streamline model deployment, versioning, and monitoring for our AI/ML products., • Automate infrastructure provisioning (Terraform), configuration management, and deployment processes using scripting (Bash, Python) and automation tools. Monitoring, Observability & Reliability: • Implement comprehensive monitoring, logging, and alerting systems (Prometheus, Grafana, CloudWatch, Datadog, Sentry) to ensure system reliability and rapid incident response., • Establish SLOs/SLIs and implement observability best practices to maintain high availability and performance., • Lead incident response, root cause analysis, and implement preventive measures to improve system resilience. Security & Governance: • Implement and maintain security best practices including network security, firewalls, role-based access control (IAM), encryption at rest and in transit, and secrets management (AWS Secrets Manager, HashiCorp Vault)., • Develop and enforce governance frameworks for working with LLM APIs and AI services, including data protection, PII safeguards, and compliance requirements., • Conduct security audits, vulnerability assessments, and implement remediation strategies to maintain a secure infrastructure. Collaboration & Technical Support: • Work closely with full-stack engineers and data scientists to support application deployments, optimize performance, and troubleshoot infrastructure issues., • Support ETL/ELT workflows and data pipeline infrastructure for training and inference workloads across databases (SQL, NoSQL, Vector DBs, Graph DBs)., • Provide technical guidance and mentorship on DevOps best practices, infrastructure design, and deployment strategies. Required Skills & Experience: • Strong experience provisioning and managing secure cloud infrastructure (AWS preferred, also GCP or Azure), • Expertise with Infrastructure-as-Code tools (Terraform, CloudFormation, Pulumi), • Strong experience with containerization and orchestration (Docker, Kubernetes, ECS, Fargate), • Proven track record building and maintaining CI/CD pipelines (GitHub Actions, CircleCI, Jenkins, GitLab CI), • Experience with MLOps and supporting ML model deployment workflows (AWS Sagemaker, Lambda, containerized deployments), • Proficiency in scripting and automation (Python, Bash, Go), • Strong experience with monitoring and observability tools (CloudWatch, Prometheus, Grafana, Datadog, Sentry, New Relic), • Experience with database administration and optimization across SQL, NoSQL, vector databases (Pinecone, FAISS), and graph databases (Neo4j), • Knowledge of networking, security best practices, IAM configuration, and secrets management, • Experience supporting data pipelines, ETL workflows, and cloud data platforms (Databricks, Snowflake), • Strong experience with the set up / design / governance and security of Clean Rooms and clean room integrations, • Previous experience in early-stage product teams or high-growth startups, • Ability to balance rapid prototyping with building scalable, production-grade infrastructure, • Strong problem-solving skills and ability to work independently in a fast-paced environment Overall Work Experience & Additional Details: You may have come from a platform engineering team at a tech company or from a startup where you wore every hat. You are fluent in both infrastructure theory and hands-on implementation, and you get a thrill out of building reliable, scalable systems that enable rapid product innovation and support cutting-edge AI/ML workloads. As a fast-paced startup, each day is different from the one before. We’re nimble and creative, and value intellectual humility. We work really hard because we’re all 100% dedicated to the future we’re building. Our work is stimulating, challenging, and exciting. And our team is awesome. At Hive we only hire exceptional people, so you’ll be in good company; surrounded by passionate, insanely smart people who want to build the future of customer intelligence. Specifically, we’re looking for someone who will thrive in this type of environment: • Fast-paced startup with competing demands and multiple priorities ongoing, • Own critical infrastructure decisions that directly shape the products we build, • A ‘solve the problem’ mentality, • Scrappy and creative, • Strong passion for the Hive Science mission and a love of the scientific method

Role Overview Quantum is building a high-performance trading platform operating in a security-critical environment. We are seeking a hands-on Cloud Engineer to design, build, secure, and operate our Microsoft Azure cloud platform. This is a 100% cloud engineering role. Corporate IT and end-user support are fully outsourced to a specialist MSP. The Cloud Engineer will own the cloud platform, security posture, and trading environment, while overseeing and coordinating with an external IT provider to ensure correct execution around identity, tenant governance, and transition activities. Key Responsibilities Cloud Infrastructure & Platform Engineering ·Design, build, and operate Azure environments supporting a live trading platform, including: ·AKS / Container Apps ·Postgres, Redis. Event Hubs, Kafka, Storage accounts ·Define and maintain secure cloud architecture, including networking, segmentation, private endpoints, and isolation. ·Build and manage infrastructure using Terraform and Azure CLI, ensuring consistency, traceability, and controlled change. ·Own cloud environments across development, UAT, and production. ·Implement and maintain CI/CD pipelines with robust deployment, rollback, and smoke-testing strategies. ·Collaborate with backend, data, and product teams to ensure scalable, secure, and performant platform design. Security & Risk Management (Core Focus) Security is a primary responsibility of this role. ·Own the cloud security posture across Azure: ·Identity and access models ·RBAC and least-privilege enforcement ·Secrets management and key rotation · Encryption at rest and in transit ·Implement strong observability and auditability, including logging, monitoring, alerting, and security events. ·Design systems assuming attack, failure, and misuse as default scenarios. ·Lead cloud-level incident response and post-incident reviews. ·Ensure the platform meets expectations for a trading / regulated environment. Reliability, DR & Resilience ·Design, implement, and test disaster recovery (DR) and business continuity strategies. ·Monitor platform health, performance, and availability. ·Identify and remediate single points of failure. ·Maintain clear, tested recovery documentation. Platform Ownership & Documentation ·Act as the technical owner of the cloud platform. ·Proactively identify risks, gaps, and improvement areas. ·Maintain clear, accurate documentation for architecture, infrastructure, security controls, and operational procedures. Interface with Outsourced IT Provider & CSP Transition ·Act as the technical point of contact for an external MSP responsible for corporate IT. ·Oversee and validate MSP execution where it intersects with: ·Identity and access ·Tenant configuration ·Security controls ·Support and govern the transition from the current CSP / IT provider to a new MSP, ensuring: ·Quantum retains full tenant ownership ·Least-privilege access is enforced ·No compromise to cloud or platform security ·Ensure the MSP executes day-to-day IT correctly without owning or designing cloud architecture. Skills & Experience Essential ·Proven hands-on experience as a Cloud Engineer working with Microsoft Azure. ·Strong experience with Infrastructure as Code (Terraform). ·Deep understanding of Azure networking, compute, storage, and identity. ·Experience operating production cloud environments with high availability and security requirements. ·Strong security fundamentals, including access control, encryption, logging, and auditing. ·Comfortable working autonomously in a small, fast-moving team with high ownership. Desirable ·Experience in fintech, trading, or other security-sensitive environments. ·Experience with containerised and event-driven systems. ·Experience inheriting, hardening, or cleaning up existing cloud environments. ·Familiarity with incident response and DR testing in cloud platforms. Working Style ·Proactive and self-directed; sees gaps and addresses them without prompting. ·Detail-oriented and disciplined. ·Strong communicator who values documentation and clarity. ·Comfortable operating with limited direction and high trust. Team Culture & Ways of Working We are a small, hands-on, and collaborative team. We value kindness, team players with low-ego, and proactive ownership. People who communicate clearly, roll up their sleeves, ask for help when needed, and help others succeed.

We’re hiring a Founding Engineer to help us reimagine the future of hospitality. This is a high-impact, architect-level role where you will be the first engineering hire and design and build the core technical foundation of a new platform from the ground up. Expect a fast-moving environment, high ownership, and a lot of autonomy across architecture, infrastructure, integrations, and backend systems. Please send your CV to: ABOUT THE ROLE Your Impact • Architect and implement core systems: cloud infrastructure, backend services, APIs, and data pipelines, • Build secure, scalable, and reliable components ready for real-world operational environments, • Lead integrations with external systems and support early data onboarding, • Establish engineering standards, tooling, documentation, and technical processes from the start, • Set up observability, monitoring, and performance systems, • Jump in wherever needed, from quick scripts and data cleaning to debugging production issues What You Bring • 5+ years of engineering experience with strong architecture / complex backend systems experience, • Deep hands-on experience with AWS/Azure/GCP, distributed systems, and backend / full-stack development, • Strong foundation in system design, APIs, secure infrastructure, and data flows, • Proven ability to build products or platforms from 0 → 1, • Clear communication, strong judgment, and the ability to explain technical decisions, • Collaborative working style, high ownership, and the ability to execute independently in a fast-moving environment Skillset We Value • Proficiency in Python, Typescript, or similar modern languages, • Experience with backend frameworks (FastAPI, Django, Node.js, Rails, etc.), • Strong SQL, data modeling, and database design knowledge, • Familiarity with IaC, containers, CI/CD, and observability tools, • Bonus: experience in ETL, or hospitality / proptech / real-estate technology Why Join Us • We work together in the heart of London (4 days a week on-site), • Competitive compensation and meaningful ownership, • Private health insurance and additional benefits, • Visa sponsorship is provided to suitable candidates If this mission resonates with you, we’d love to hear from you — even if you don’t meet every requirement. Please send your CV to: OMNAM is a global real estate investment and development group known for creating large-scale, high-design hospitality and mixed-use projects. This role is separate and part of OMNAM Innovation Arm, giving you a unique blend of startup-style ownership with the stability, access, and ecosystem of an established international group.

Role Overview We are looking for a skilled Data Engineer to design, build, and maintain scalable data solutions that support business intelligence and analytics initiatives. You will work closely with stakeholders to transform raw data into meaningful insights, ensuring high data quality and reliability across platforms. Must have worked in the telecommunications domain. Key Responsibilities • Design, develop, and maintain robust data pipelines and ETL processes, • Build and optimise data models to support reporting and analytics requirements, • Develop and enhance dashboards and reports using Power BI, • Write efficient and scalable SQL queries for data extraction and transformation, • Perform data cleansing, validation, and quality assurance to ensure accuracy, • Collaborate with business and technical teams to understand data requirements, • Troubleshoot data issues and provide innovative solutions to complex problems, • Support continuous improvement of data architecture and processes Key Requirements • Strong experience in SQL for data manipulation and performance optimisation, • Hands-on experience with Power BI for dashboard development and reporting, • Proficiency in programming languages such as Python or R, • Experience in data cleansing, transformation, and data quality management, • Strong analytical and problem-solving skills, • Ability to work with large and complex datasets, • Good communication skills and ability to work in a collaborative environment Desirable Skills • Experience with cloud platforms (e.g., Azure, AWS, or GCP), • Knowledge of data warehousing concepts and architectures, • Exposure to big data tools or distributed systems, • Understanding of data governance and security best practices

Senior ML/MLOps Engineer (MLflow) | Databricks | Azure) About Optima Partners We’re an advanced data & business consultancy helping major consumer brands transform through data-driven customer strategy, design, and engineering. Our clients include leading UK and global brands across financial services, retail, and more. Join a practitioner-led, fast-growing team delivering ML systems that actually make it into production. We’re growing our engineering team and looking for an MLOps Engineer who loves building real, production grade ML systems not just proof‑of‑concepts. If you enjoy working across the full ML lifecycle and have strong MLflow experience, this role is built for you. What You’ll Do • Own end-to-end ML model lifecycles from training to deployment to monitoring, • Productionise models built in PyTorch, TensorFlow, or Scikit‑learn, • Use MLflow for experiment tracking, model versioning, deployment, and release workflows, • Build scalable data & ML pipelines in Databricks (Delta, DLT, Jobs), • Design and maintain Azure data architectures (Data Lake, Synapse, SQL DW), • Create robust CI/CD pipelines for ML + data using Azure DevOps, Git, Jenkins, • Automate infrastructure with Terraform / ARM / Ansible, • Work closely with engineering teams to deliver real-world ML systems across multiple sectors. Tech Stack You’ll Work With • Python, SQL, PySpark, • PyTorch, TensorFlow, Scikit‑learn, • MLflow (core focus), Databricks, Azure, • IaC: Terraform, ARM, Ansible, • Git, Azure DevOps, Jenkins What We’re Looking For ✔️ 3+ years in ML Engineering, MLOps, or Data Engineering ✔️ Hands-on experience productionising ML models ✔️ Strong MLflow + Databricks experience ✔️ Consulting experience is a plus ✔️ Comfortable working in Agile environments Join us to build production‑ready ML systems that make a real impact working with modern tooling, great people, and the freedom, support, and rewards to grow your career fast. What We Offer • Competitive base salary, • 15% discretionary company bonus, • Up to 37 days’ holiday, • Private medical insurance, • Group life assurance & income protection, • Salary sacrifice pension scheme

Principal AI Engineer Up to £110,000 + Bonus Hybrid | London We’re partnered with a global leader in loyalty and customer engagement, looking for a Principal AI Engineer to join their London team. This role will include delivering customer centric solutions and scale production-grade AI solutions. You’ll be the technical authority for AI engineering, driving architecture, automation, whilst ensuring our AI platform is robust and transparent. Working closely with the Head of AI Labs, you’ll lead the delivery of advanced AI systems that deliver real business impact. Responsibilities as a Principal AI Engineer: • Lead end‑to‑end delivery of scalable, resilient AI/ML pipelines aligned to business goals., • Build and deploy advanced ML, DL, and LLM solutions, including RAG, agentic architectures, and evaluation frameworks., • Mentor engineers in ML engineering, orchestration, and modern AI best practices., • Communicate system behaviours, risks, and outcomes to both technical and non‑technical audiences., • Partner with the Head of AI Labs to turn AI research and strategy into production‑ready solutions. Key Requirements: • Proven experience designing and productionising RAG pipelines and agentic AI architectures, • Hands‑on delivery of agent‑based AI systems with orchestration tools (e.g., LangChain, CrewAI) in production., • Strong Python engineering skills with solid testing, optimisation, CI/CD, and code quality;, • Experience implementing and scaling vector databases (Pinecone, Weaviate, Milvus) for retrieval and reasoning workloads., • Deep expertise in cloud‑native AI engineering on AWS, with Azure knowledge and ability to design distributed, fault‑tolerant systems. Nice-to-Haves: • TypeScript a plus; SQL proficiency for data work., • Bridges technical and business teams with ease., • Confident working with stakeholders at all levels., • Shows initiative, works independently, and brings fresh ideas., • Strong communicator able to present, guide, and influence effectively. Benefits: • Up to £110,000 + Bonus, • Flexible working options at a Central London office, • Private Health, Great pension, • Work from anywhere for 2 months of the year This is an exciting opportunity for a Principal AI Engineer to take technical authority and deliver a real word impact on at a Global business, we’d love to hear from you. **Unfortunately, due to high volume of applications, not all submissions will receive feedback

AI Engineer [Analyst] – Early Career Role About the Job As an early‑career AI Engineer at Cerberus, you’ll join a small, high‑impact team building AI systems that power decision‑making across a global investment platform. You’ll work alongside experienced AI engineers, data scientists, and technologists to deliver real products used by investment teams and portfolio companies. This role is ideal for: • PhD graduates in a STEM field with applied ML, optimization, or computational experience; or What You’ll Do Build and deliver ML systems Work with senior engineers to design, train, and deploy machine learning models and data-driven tools that support investment and operational decision-making. Contribute to real production deployments Help integrate ML models into business workflows, build data pipelines, and support the rollout of AI applications across teams. Experiment and iterate Prototype ideas, test assumptions, and rapidly evolve solutions based on real user feedback and real-world constraints. Learn modern tooling and practices Gain hands-on experience with ML frameworks, cloud infrastructure, MLOps tools, and best practices for building scalable AI systems. Communicate clearly Translate technical findings into clear, structured insights for collaborators across technical and business teams. Grow as an AI engineer Develop skills across the full ML lifecycle—data processing, modelling, evaluation, deployment, and ongoing improvement. Sample Projects You Might Work On GenAI for due diligence Support the configuration, extension, and rollout of our in-house GenAI platform across investment teams. Work with senior engineers to customise workflows, analyse model outputs, and drive adoption. Automated Deal Sourcing Tools Help build prototypes that extract signals from datasets and integrate with APIs to enrich leads. Support the creation of modular ML-driven components that can be used across investment strategies. (Both examples are reframed so junior team members contribute meaningfully but are not expected to independently lead full workstreams.) Your Experience We don’t expect candidates to have experience across all areas—what matters most is strong technical fundamentals, curiosity, and a willingness to learn quickly. Foundational skills • Degree in a STEM field., • PhD candidates: applied research involving ML, optimisation, simulation, statistics, numerical methods, NLP, or related areas., • Experience writing clean, maintainable Python code., • Applied AI experience such as exposure to LLM APIs (OpenAI, Azure OpenAI, Anthropic, etc.) and experience with small personal or internship projects building agents or AI-driven workflows., • Comfortable working with data, performing analysis, and writing SQL queries., • Familiarity with tools like MLflow, Weights & Biases, or cloud platforms (Azure, AWS, or GCP)., • Strong problem-solving skills, • Curiosity and eagerness to learn, • Pragmatic, impact-driven approach, • Ability to work collaboratively in a fast-paced environment About Us We are a growing team of AI specialists—data scientists, ML engineers, software engineers, and technology strategists—working to transform how a global investment firm with $65B+ in assets uses data and AI. We operate like a startup within the firm: fast, collaborative, and focused on delivering real value. Our work spans investment desks, portfolio companies, and core operations, giving early-career engineers wide exposure and the opportunity to grow rapidly.

Python Engineer (Contract) Location: Canary Wharf (3 Days Per Week) Contract Type: Contract – Inside IR35 Day Rate: £500 per day Interview Process • LeetCode-style live coding interview, • Final technical interview We are looking for an experienced Senior Software Engineer to join a high-performing engineering team working on scalable platforms and data-driven systems. This role focuses on building robust backend services, working with modern cloud technologies, and contributing to the design of high-quality software solutions. This is a great opportunity for an engineer who enjoys solving complex problems, collaborating with cross-functional teams, and delivering production-grade systems in a fast-paced environment. Key Responsibilities • Design, develop, and maintain scalable backend services and APIs, • Write clean, maintainable, and well-tested code, • Collaborate with engineers, product teams, and stakeholders to deliver high-quality solutions, • Contribute to architecture discussions and technical design, • Work with cloud-native technologies and distributed systems, • Participate in code reviews and engineering best practices, • Troubleshoot and optimise system performance Key Skills & Experience • Strong experience with Python development, • Experience building scalable backend systems and APIs, • Familiarity with cloud platforms (AWS, Azure, or GCP), • Experience working with microservices architectures, • Strong understanding of data structures and algorithms, • Experience with CI/CD pipelines and modern engineering practices, • Excellent problem-solving and communication skills

Senior Data Engineer | £600 per day Outside IR35 | 6 Month Contract A PE-backed asset/wealth management firm managing multi-billion pounds in assets is seeking a Senior Data Engineer to design and deliver a new Azure-based data warehouse. The organisation is replacing a non-performant “data swamp” with a well-structured, governed platform built on Azure. You will lead the end-to-end architecture and take a hands-on role building a robust data platform from ingestion through to consumption. Tech Environment: • Azure Data Lake Storage, • Azure Synapse, • Medallion Architecture, • ETL / data ingestion pipelines, • Dimensional modelling, • Strong governance, security, and error handling Ideal Experience: • Azure-based data platform architecture, • End-to-end data warehouse design and delivery, • Data governance and platform reliability, • Asset management / wealth management / financial data environments Key Information: • £600 per day Outside IR35, • Hybrid – London (2 days per week), • 6 month project, • Start: End of March, • One stage interview process This role requires someone comfortable making architectural decisions across the full data stack rather than operating within a single silo. You will work closely with the CTO and help shape the foundations of the company’s modern data platform, with additional hires planned to support delivery. Due to high application volumes, not all submissions will receive feedback. Senior Data Engineer | £600 per day Outside IR35 | 6 Month Contract

Senior Infrastructure Engineer - Commodities Trading - Up to £90k + Bonus Step into the technology engine room of a major European commodities trading firm, where technology sits right at the heart of operations. Operating across global energy markets, the business has 50–75 technologists across infrastructure, development, data and applications, supporting a highly sophisticated trading environment. Infrastructure here isn’t just keeping the lights on - it enables the traders, analysts and operations teams who depend on fast, resilient systems every day. It’s also an exciting time to join. A new Head of Infrastructure has recently joined and is investing heavily in reshaping the team and modernising the platform. You’ll play a key role in that journey, contributing to both engineering projects and operational improvements as the environment evolves. This is a hands-on role with real variety, working across mixed (Windows & Linux) and hybrid infrastructure spanning on-prem data centres and Azure. Key areas include: • Infrastructure modernisation and automation, • Improving resilience, performance and security, • Supporting critical systems underpinning a global trading operation You’ll gain exposure across a broad technology estate including: • Windows & Linux infrastructure (approx. 85/15 – Red Hat preferred), • Azure cloud services, • Virtualisation (VMware / VDI), • Cisco networking & firewalls, • Microsoft 365, • Automation & Infrastructure-as-Code (Terraform / Kubernetes exposure) The team is collaborative, growing and technically strong, so you’ll need to enjoy rolling up your sleeves, solving problems and taking real ownership of systems end-to-end. Engineers from financial services, commodities trading, or complex enterprise environments would be particularly well suited. • Up to £90k + bonus, • London, • Hybrid (3 days onsite) If you enjoy hands-on infrastructure engineering in fast-paced environments where technology truly matters, this is a role where you can make a real impact.

Infrastructure/Security/DevOps A high‑growth AI company is building the next generation of workflow automation for large enterprises — and are looking for a Senior Infrastructure Engineer to help scale their platform as they onboard global customers. The product transforms complex, manual processes into fully automated AI systems used across large, distributed teams. Backed by top-tier investors and growing rapidly, they're now strengthening their infrastructure foundations to support the next phase of expansion. They are looking for an experienced engineer to lead the development of their cloud systems, security posture, reliability culture, and operational excellence. Key Responsibilities • Architect, implement, and scale cloud infrastructure to support rapid growth, • Prepare systems and processes for SOC 2 / ISO 27001 audit readiness, • Build and maintain CI/CD pipelines across backend, frontend, and data services, • Develop and manage logging, metrics, tracing, and alerting systems, • Lead efficient on‑call and incident-response processes, • Monitor and optimise cloud spend Tech Stack • Cloud: Azure (AWS a plus), • IaC: Terraform, • Containers: AKS (Kubernetes), Docker, • CI/CD: GitHub Actions, • Observability: Logging, metrics, tracing frameworks, • Security: Secrets management, scanning tools, cloud best practices, • Networking: VPCs, private networking, DNS, load balancers, VPNs, firewalls, • Databases: PostgreSQL, MySQL, NoSQL, blob storage, • Automation: Python or Bash Requirements • 4–7 years of experience in Infrastructure, DevOps, SRE, or Platform Engineering, • Strong track record owning infrastructure end‑to‑end, • Experience in high‑growth or high‑load environments, • Familiarity with compliance frameworks (SOC 2, ISO 27001, GDPR), • History of driving reliability, security, and cost efficiency, • Someone who thrives in fast-moving, evolving environments and enjoys solving hard problems Essential • Able to work in UK, • Relevant degree

Full Stack Developer – Contract (Inside IR35) Up to £600 per day Inside IR35 London – Hybrid (4 days in office, 1 day WFH) 6–12 month engagement, with intention to make perm offer A leading investment management firm is seeking a Full Stack Developer to join their lean, high‑impact technology team. In this role, you’ll build and enhance tools that automate operational workflows across treasury, collateral, FinOps, and middle‑office functions. This is a hands‑on position where you’ll work closely with risk, treasury, and operations teams to identify inefficiencies, replace legacy/manual processes, and build scalable solutions that support a fast‑paced trading environment. What you’ll work on • Automating workflows across treasury, accounting, trading and middle‑office operations., • Building tools to improve collateral & margin management, capital usage reporting, and trade reconciliation., • Designing and implementing API integrations across internal and third‑party systems., • Developing in‑house solutions to replace outsourced or legacy technology., • Creating data pipelines that improve reporting and analytics for portfolio managers., • Owning projects end‑to‑end — from gathering requirements through to deployment. What you’ll need • 5–6 years’ experience as a software engineer in financial services (buy‑side preferred, sell‑side also welcome)., • Solid background in treasury, collateral, middle‑office, or financial operations technology., • Strong programming skills in C# + Python, • Front‑end experience with Vue.js, React, or Angular., • Experience with databases such as SQL Server, Databricks, or Azure SQL., • Strong understanding of data structures, automation, and workflow optimisation., • Familiarity with Git / CI/CD pipelines., • Ability to operate independently in a fast‑moving, high‑ownership environment. Nice to have: • Experience with Broadridge, Sentry, or other treasury/risk platforms., • Exposure to data warehousing, security master systems, or trade booking automation., • Experience in quant or systematic trading environments. Why this role? You’ll have direct ownership, real influence, and the opportunity to modernise critical operational infrastructure in a high‑performing financial environment. Ideal for someone who enjoys autonomy, solving operational pain points, and building robust tools that have immediate business impact.

Senior Software Engineer The Opportunity On behalf of a global powerhouse in FinTech Infrastructure, we are seeking a Senior Software Engineer. Our client operates one of the largest financial networks, serving as the digital backbone for thousands of global financial institutions. This is a senior-tier appointment for an engineer who excels at building resilient, high-concurrency systems and wants to lead the digitalization of global financial markets. The Technical Stack You will be working within a modern, engineering-first culture. The core stack includes: • The Engine: Expert-level C# and .NET Core mastery., • Architecture: Deep understanding of SOA (Service Oriented Architecture) and complex Object-Oriented design patterns., • System Dynamics: Specialized knowledge of concurrency, asynchrony, and parallelism—essential for real-time transactional processing., • Data & Web: High proficiency in SQL Server, Web API design, and modern front-end fundamentals (HTML/CSS/JS)., • Reliability: A strict practitioner of TDD (Test Driven Development) and robust CI/CD processes. Desired Innovations Our client is actively modernizing. Exposure to the following is highly valued: • Cloud & Orchestration: Azure ecosystems, Docker, and Kubernetes (AKS)., • Messaging Patterns: Enterprise systems like Azure Service Bus or NServiceBus., • Next-Gen Tech: Experience with Blockchain development or Cryptographic concepts is a significant plus., • Modern UI: TypeScript and Angular for responsive, data-heavy interfaces. Your Impact • Technical Leadership: You will participate in defining the technology and process strategy, occasionally leading high-level innovation or software design initiatives., • Full-Lifecycle Ownership: Design, document, and communicate system solutions that balance high performance with security and cost-effectiveness., • Collaboration & Mentorship: Act as a "Technical Enabler," bridging the gap between deep engineering and business-led requirements while mentoring junior talent., • Innovation: Drive the modernization of global financial infrastructure, replacing frictional legacy processes with fast, efficient, and scalable digital services. Who You Are • FinTech Professional: You have a deep commercial background in Financial Services, Payments, or Transactional Systems. You understand the stakes of high-volume, regulated data., • Team-Centric: You thrive in an Agile environment where team dynamics and peer reviews are taken seriously., • Strategic Thinker: You can contextualize your technical work for non-technical stakeholders and have a passion for "big picture" system evolution. Package & Culture • Salary: £90,000-£100,000 per annum + Performance-related Bonus., • Flexibility: A balanced Hybrid model out of a state-of-the-art Central London office., • Benefits: Industry-leading pension, private healthcare, and a culture that prioritizes professional growth.

Are you passionate about building real, production‑grade AI systems—not just prototypes or research models? We’re partnering with a fast‑growing, well‑funded AI‑native consultancy that delivers enterprise‑scale AI solutions to major organisations across Financial Services, Energy, Healthcare, Retail, and Manufacturing. Working alongside global partners such as Anthropic, Databricks, AWS, OpenAI, and Microsoft, the team focuses on designing and deploying advanced AI systems that solve complex real‑world problems with speed, clarity, and measurable impact. As part of their expansion, we are looking for experienced AI Engineers who can build robust, scalable applications powered by large language models. The Role As an AI Engineer, you will design, build, and deploy production‑grade LLM‑powered systems. This role sits at the intersection of software engineering, AI implementation, and agentic orchestration. You will work on: • Multi‑agent architectures, • Intelligent tool and API integrations, • RAG pipelines and vector‑based retrieval, • Evaluation frameworks and AI observability Key Responsibilities • Build production AI systems using LLMs, RAG pipelines, vector databases, and agentic frameworks, • Design evaluation and observability frameworks to measure performance, accuracy, and reliability, • Develop clean, scalable applications with proper error handling, APIs, and data pipelines, • Implement and maintain retrieval systems (vector/graph databases, ingestion pipelines, chunking strategies, advanced retrieval methods such as HyDE), • Integrate feedback loops to improve system behaviour over time, • Craft effective prompts and optimise latency, cost, and output quality across multiple model providers, • Hands‑on experience building applications using LLM APIs, • Deep understanding of model capabilities, limitations, and failure modes, • Practical experience with RAG, vector databases, knowledge graphs, and prompt engineering, • Experience building multi‑step LLM workflows and agentic systems (e.g. LangChain, LangGraph, Claude Agents SDK, Strands, or custom frameworks), • Strong proficiency in Python (or similar language) and developing production APIs/services, • Cloud experience with AWS, GCP or Azure, • Solid understanding of distributed systems, CI/CD, testing frameworks, and deployment pipelines, • Experience designing or operating cloud‑native, production‑grade infrastructure, • Strong data manipulation skills (Pandas, SQL), • Experience with AI‑assisted coding (Claude Code, GitHub Copilot, etc.), • Experience fine‑tuning LLMs or deciding when to use fine‑tuning vs RAG/prompting, • Exposure to streaming, multimodal models, or search technologies (Elasticsearch, etc.), • Familiarity with observability tools (LangSmith, Weights & Biases), • Experience in regulated or industry‑specific environments (finance, energy, healthcare, legal, retail), • A fast‑growing organisation with significant opportunities for career progression, • Highly competitive salary + bonus, • A collaborative, engineering‑driven culture where you’ll make an impact from day one, • Financially strong, well‑backed business with global expansion plans, • Choose your own gear (MacBooks, PCs, accessories), • Dedicated learning & development budget

Lead Platform Engineer | £100,000 – £120,000 | Hybrid (London) The Mission • Cut dev-to-production lead time with seamless CI/CD and preview environments, • Design "Golden Path" workflows so engineers ship features, not config files, • Auto-scale GCP infrastructure to handle Black Friday and January travel peaks, • Champion SRE practices — define SLOs and error budgets for the booking flow, • Architect data-sync pipelines with GDPR-compliant PII masking for dev environments We'll consider strong candidates from AWS or Azure backgrounds — GCP is where you'll operate. The must-haves are: Kubernetes (GKE) · Docker · Terraform · PHP (Symfony/Drupal) · JavaScript · Go · Cloud SQL/MySQL · Redis · Nginx · Cloud Load Balancing · Varnish · CDNs · Cloudflare Bonus: GCP, BigQuery, Apigee, Vertex AI About You • Proven leadership of Platform, DevOps, or SRE teams in high-volume e-commerce, travel, or fintech, • Deep Kubernetes and container orchestration experience with PHP/React workloads, • Strong cloud fundamentals (IAM, VPCs, networking) — transferable from AWS or Azure to GCP, • Scripting fluency in Bash, Python, or Go, • Experience managing high-traffic SQL databases and Redis caching strategies, • £100,000 – £120,000 salary, • Hybrid working (minimum 3 days in our London office) with flexible hours, • Enhanced pension plan & life and critical illness insurance, • Medicash health plan, • Season ticket loan & cycle scheme, • Supplier social events #PlatformEngineering #DevOps #SRE #GCP #Kubernetes #Terraform #TechJobs #LondonTech #Hiring

Solutions Engineer 📍 London, UK (Hybrid) 💰 £60,000 – £90,000 + Benefits Note:- Full Right to work needed. We are partnering with a fast-growing technology company building modern software platforms that help enterprise organisations solve complex operational and data challenges. They are looking for a Solutions Engineer who enjoys working at the intersection of engineering, product, and enterprise sales. This is an exciting opportunity for engineers who enjoy solving technical problems while collaborating closely with customers. In this role, you will help organisations unlock the value of a powerful platform by designing solutions, delivering technical demonstrations, and guiding successful implementation. The Role As a Solutions Engineer, you will act as a trusted technical advisor throughout the customer journey. You will work closely with account executives, product managers, and engineering teams to understand customer requirements, design solution architectures, and deliver technical demonstrations and proof-of-concept implementations. This role combines technical architecture, system integration, and customer engagement, helping organisations adopt modern cloud, AI, and data technologies. What You’ll Be Doing • Work with enterprise customers to understand technical requirements and solution architecture, • Design and deliver technical product demonstrations tailored to customer use cases, • Lead proof-of-concepts and technical validations during the sales process, • Support integrations with customer systems, APIs, and data platforms, • Collaborate with product and engineering teams to communicate customer feedback, • Provide guidance on best practices for deploying and scaling the platform, • Troubleshoot integration challenges and support successful customer adoption Technology Environment The platform integrates with modern technology stacks including: • Cloud infrastructure such as AWS, GCP, or Azure, • APIs and distributed services, • Data platforms including Snowflake, Databricks, BigQuery, and Kafka, • SaaS integrations and enterprise software ecosystems, • Automation and scripting using Python or JavaScript We’re Looking For • Experience in Solutions Engineering, Sales Engineering, or Technical Consulting, • Strong understanding of cloud platforms, APIs, and system integrations, • Ability to communicate complex technical concepts to both technical and non-technical audiences, • Experience delivering technical demos and proof-of-concept implementations, • Passion for solving customer problems and working in fast-moving technology environments Typical Backgrounds Previous experience from companies building: • AI platforms, • Developer tools, • Cloud infrastructure, • Data platforms, • Enterprise SaaS products Why This Role Is Interesting • Work directly with enterprise customers solving real technical challenges, • Influence product development through customer insights, • Collaborate with engineering, product, and sales leadership, • Join a rapidly growing company building modern cloud and data platforms