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\n \n Tech Lead - .NET - London - paying up to £110k \n The Company \n Our client places engineers directly inside client teams to deliver modernisation, cloud and product work. Their clients range from regulated financial services to high-growth consumer businesses. Because of new client demand, they're looking to add experienced Lead Engineers to the team. \n The Role \n You'll lead a engineering team. You'll own delivery from architecture through to production. The work varies from project to project, from complex regulated platforms to high-scale digital products and Legacy modernisation. \n Key Responsibilities \n\n • Lead a cross-functional team Embedded with a client, owning delivery outcomes end to end\n, • Build Back End systems in .NET or Java, with real Front End delivery in JavaScript, Node or TypeScript\n, • Own the DevOps life cycle: CI/CD pipelines, infrastructure-as-code, automated testing and production monitoring\n, • Act as a trusted technical voice with client stakeholders while staying hands-on with the code\n, • Mentor engineers and bring strong engineering standards into client teams\n\n What You'll Bring \n\n • Strong hands-on Back End experience in .NET or Java, plus solid Front End experience in JavaScript, Node or TypeScript\n, • Proven DevOps ownership: CI/CD, Terraform or similar IaC, and a strong testing discipline\n, • Experience in Lead-level roles owning a team and delivery outcomes, or Staff Engineer experience setting technical direction\n\n This is a fast-moving process - please apply with an up-to-date CV ASAP to be considered.

\n ML Engineer \n London - Hybrid, 3 days per week in office \n Up to £85,000 \n VIQU are partnering with a leading financial services organisation undergoing a significant data and technology transformation, building out its Machine Learning capability across the business. They are seeking an ML Engineer to build, deploy and operate production-grade ML solutions, working closely with Data Scientists to take models from development through to reliable production environments. This is a hands-on engineering role focused on ML pipelines, productionisation, deployment and ongoing model life cycle management within a modern Databricks environment. \n Key Responsibilities of the ML Engineer: \n\n • Build and automate end-to-end ML pipelines covering feature engineering, model training, scoring and deployment\n, • Productionise models developed by Data Scientists, transforming notebooks and prototypes into modular, tested and production-ready code\n, • Develop scalable ML solutions using Python, PySpark, Databricks and MLflow\n, • Deploy machine learning models into batch and Real Time environments through APIs, scheduled workflows and production pipelines\n, • Manage model versioning, promotion and rollback throughout the ML life cycle\n, • Implement monitoring and observability across production models, including model and data drift, performance alerts and logging\n, • Develop automated retraining processes to maintain model performance and reliability\n, • Work closely with Data Engineering and Platform teams on CI/CD integration, compute optimisation and secure deployment patterns\n, • Maintain strong engineering standards across testing, documentation, code quality, reproducibility and operational reliability\n\n Key Experience Required of the ML Engineer: \n\n • Strong commercial experience as an ML Engineer, with a clear focus on engineering and productionising machine learning models\n, • Strong hands-on development skills across Python, PySpark and SQL\n, • Commercial experience working with Databricks, MLflow and Delta Lake\n, • Proven experience building and operating distributed data and machine learning pipelines\n, • Experience taking Data Science models from notebooks or development environments into production\n, • Strong understanding of model deployment patterns, model life cycle management and production ML environments\n, • Experience implementing model monitoring, data/model drift detection, logging and performance monitoring\n, • Exposure to CI/CD tooling such as Azure DevOps or GitHub Actions\n, • Experience with containerisation, APIs and batch or Real Time model deployment\n, • Ability to collaborate closely with Data Scientists, Data Engineers and Platform teams whilst remaining firmly focused on ML engineering\n\n Apply now to speak with VIQU IT in confidence, or reach out to Katie Dark via the VIQU IT website. \n Do you know someone great? We'll thank you with up to £1,000 if your referral is successful (terms apply).

\n Full Stack Engineer | Clojure | TypeScript | React | £550/day Outside IR35 \n We are looking for an experienced Full Stack Engineer to join an established engineering team in London. \n This is a Back End-heavy Full Stack role, with a focus on Clojure, alongside TypeScript and React. Key Skills\n \n \n\n • Strong commercial Clojure experience\n, • Ideally 2-3+ years of recent, hands-on Clojure development\n, • TypeScript\n, • React\n, • Full Stack development experience, with a Back End focus\n, • Experience working with existing production systems and codebases\n, • Strong software engineering and testing practices\n\n Clojure experience is essential. Candidates should ideally be using Clojure currently, or have only had a short gap from working with the technology. Candidates with 3+ years of previous Clojure experience may also be considered where the gap is no more than around 12 months. Contract Details\n \n \n\n • Up to £550/day Outside IR35\n, • Initial 3-month contract\n, • Potential for extension\n, • 2 days onsite in London\n, • 1-stage interview process\n, • ASAP start\n\n If you are an experienced Full Stack Engineer with strong Clojure experience and are available for a new contract, please apply with your latest CV.

Senior Full Stack Applied AI Engineer - Insurance - Permanent & competitive salary\n \n Our client, a leading London Market insurer, is looking for a Senior Full Stack Applied AI Engineer to join their Innovation team! \n \n \n This role is focused on taking AI ideas from concept through to working prototype, testing what actually works and helping successful solutions move into production. This is a genuinely hands-on role for someone who wants to build with the latest AI technology, rather than just talk about it. You'll be working across GenAI, agentic systems, Back End services, APIs, data and Back End development, with a strong focus on Google Cloud.\n \n \n You'll be a great fit if you have:\n \n\n • Strong hands-on experience building GenAI/applied AI solutions, ideally within Google Cloud\n, • Experience with LLMs, AI agents and agent frameworks, ideally ADK, with knowledge of A2A/MCP\n, • Strong Python skills and full-stack development experience, particularly Back End, APIs and services\n, • Experience with RAG, Vector Search, model evaluation and modern AI application development\n, • A strong software engineering background with experience across cloud, databases, Docker/Kubernetes, CI/CD and Terraform\nThe role requires 3-4 days pw in London and is paying between £130,000 - £175,000pa with bonus and benefits on top. \n \n \n The processing and use by us of your personal data is in accordance with our Privacy Notice which can be found on our website. We know that the most successful teams have a diversity of background, experience and approach. When we recruit, we welcome the unique contributions you can bring thanks to your sex, ethnicity, race, gender identity, nationality, age, disability and beliefs.\n \n Senior Full Stack Applied AI Engineer - Insurance - Permanent & competitive salary

\n We are partnering with an established technology firm building high-scale software platforms for complex business applications. They are expanding their London team and looking for a Full Stack Software Engineer to join their team. \n If you enjoy end-to-end software delivery, from scalable Python backends and event-driven data pipelines to clean, modern frontends, this is a great opportunity to own product development. \n The Opportunity \n\n • Salary: Up to £65,000\n, • Location: Central London (5 Days Onsite)\n, • Type: Full-time, Permanent\n\n What You'll Be Building \n\n • Architect production-grade Python services (FastAPI/Flask) within an event-driven architecture.\n, • Build relational models in Postgres, vector search, and streaming queues (Kafka/SNS/SQS).\n, • Craft responsive interfaces and dashboards in React or Vue.js.\n, • Deploy containerised applications (Docker) on AWS using Terraform.\n, • Build practical, production-ready interfaces for LLMs, RAG pipelines, and model endpoints into core products.\n\n What They're Looking For \n\n • Strong foundation in Python, REST APIs, microservices, and clean code principles.\n, • Practical experience with React or Vue.js.\n, • Solid Postgres/SQL, AWS, and Docker experience (NoSQL/Terraform a plus).\n, • Exposure to LLMs, RAG, or ML model integration as part of a broader engineering stack.\n, • Must have unrestricted UK Right to Work.\n\n

Lead Platform Engineer - Must be DV Clearable - 5 days a week on-site\n Building the platforms that make AI and machine learning work in production \n We're looking for a Lead Platform Engineer to join a growing engineering organisation and play a pivotal role in designing, building, and operating an MLOps platform that enables AI and data science teams to deliver reliably in production. \n This is a senior, hands-on technical leadership role, not a people-management position. You'll lead through technical depth, judgement, and delivery, building the tooling, workflows, and operational foundations that allow data scientists and ML engineers to experiment, deploy, and run ML and LLM-based workloads safely and at scale. \n The focus is not simply on running Kubernetes clusters - it's on layering real MLOps capability on top of Kubernetes to create a platform that is usable, supportable, and trusted in live environments. What you'll be doing\n You'll act as a technical leader across platform engineering, DevOps, and MLOps, remaining deeply involved in implementation. \n You will: \n\n • Provide technical leadership across platform, DevOps, and MLOps activities\n, • Design, build, and operate a Kubernetes-based MLOps platform supporting the full model life cycle\n, • ImplementandrunMLOps tooling that enables teams to: \n \n, • Experiment with models and notebooks\n, • Package, version, and deploy models\n, • Run scalable inference and LLM-based workloads\n \n, • Build and operate model serving and inference platforms within Kubernetes environments\n, • Work closely with data scientists and ML engineers to ensure the platform is usable, well-documented, and aligned to real workflows\n, • Own platform operability, reliability, security, and supportability in production\n, • Troubleshoot complex issues across Kubernetes, platform services, and MLOps layers\n, • Contribute to architectural decisions while staying hands-on with delivery\n, • Apply pragmatic engineering judgement in environments where AI workloads place real operational demands on infrastructure\n\n \nWhat we're looking for\n This role suits someone who is fundamentally a strong platform engineer, with the depth to apply those skills confidently to MLOps. \n Essential experience: \n\n • Strong background as a Senior or Lead Platform Engineer/DevOps Engineer\n, • Deep, hands-on experience building and operating Kubernetes-based platforms\n, • Strong practical experience with Helm and Infrastructure as Code (eg Terraform)\n, • Proven experience extending Kubernetes with higher-level platforms and services, not treating it as the finished product\n, • Strong understanding of operational fundamentals: monitoring, logging, incident response, reliability, and maintenance\n, • Comfortable working directly with engineers and data scientists to support real production workloads\n\n \nMLOps experience (key to the role)\n You'll work deeply "in the weeds" of MLOps platforms, enabling ML and LLM workloads (not model research). \n Experience in areas such as: \n\n • Building or operating MLOps platforms using tools like Kubeflow or similar frameworks\n, • Running model serving and inference platforms (eg KServe, vLLM, or equivalent)\n, • Supporting LLM-based workloads, including optimisation and serving considerations\n, • Providing notebook-based environments such as JupyterHub in secure platforms\n, • Exposure to emerging tooling such as InstructLab, Trustworthy/Responsible AI tooling, or comparable solutions\n\n \nDesirable experience\n \n \n\n • Building internal platforms specifically for data science and ML teams\n, • Operating AI-enabled or data-driven systems in production\n, • Experience in regulated, security-conscious, or high-assurance environments\n, • Designing platforms that balance user flexibility with governance and control\n\n If you believe Kubernetes is the base, not the product, enjoy operating close to the metal, and like solving hard platform problems that enable others to succeed, this role offers real challenge and impact. If interested, apply now! \n Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

\n Senior Scala Data Engineer - 6 Month Contract \n Location: London - Hybrid \n Duration: 6 months \n Rate: £530 - £580 per day insideIR35 \n Clearance: SC Clearance required \n We are seeking an experienced Senior Scala Data Engineer with active SC Clearance to join a team developing secure, high-volume and highly available Back End services and APIs supporting fraud detection and data integrity. \n Responsibilities: \n * Design and develop scalable, secure and low-latency Back End services. \n * Develop clean, testable Scala code and REST APIs. \n * Work with databases and AWS services. \n * Improve and modernise existing applications and services. \n * Collaborate with product owners, business analysts and data engineers. \n * Support production services and contribute to incident resolution. \n * Work within an Agile & Continuous Integration. \n Skills and Experience: \n * Scala \n * Play Framework or MVC/REST API frameworks \n * SQL/Databases \n * AWS \n * Continuous Integration \n * Agile methodologies \n * API design and development \n * Testing and automation \n * Production support/SRE awareness \n * SC Security Clearance \n It would be an added advantage if you had any of the following: Jenkins/Kibana/Airflow/Docker/Containerisation/Grafana. \n Apply now for immediate interview! \n CBSbutler is operating and advertising as an Employment Agency for permanent positions and as an Employment Business for interim/contract/temporary positions. CBSbutler is an Equal Opportunities employer and we encourage applicants from all backgrounds.

\n AI Solutions Engineer - RAG - Python - LLM - Wealth Management \n An exciting opportunity has arisen for an ambitious, hands-on AI Solutions Engineer to play a key role in shaping how Generative AI is used across a leading wealth-management environment. You'll take real business challenges and turn them into practical, production-ready AI solutions, working across RAG, LLMs, Agentic AI and Python to create applications that genuinely improve how teams work. You will work closely with business users and colleagues across AI, IT, Data, Cyber, Risk and Compliance, taking ownership from discovery and rapid prototyping through to testing, deployment and continuous optimisation. \n Key responsibilities: \n\n • Build, test, deploy and maintain Generative and Agentic AI applications that address defined business problems and operate within agreed architecture, security and governance standards\n, • Work directly with users and subject matter experts to understand workflows, gather requirements, clarify acceptance criteria and iterate solutions based on feedback\n, • Develop agents and multi-step AI workflows using model APIs, structured outputs, tool/function calling, state and memory, human-in-the-loop controls, retries and error handling\n, • Build RAG and enterprise knowledge solutions, including document ingestion, chunking, embeddings, vector/semantic/hybrid search, metadata filtering, grounding and citations\n, • Integrate AI solutions with internal systems, APIs, data sources and enterprise services using Python and appropriate application frameworks\n, • Develop reliable tools and functions for agents to interact with approved systems, applying appropriate authentication, authorisation, validation and permissions\n, • Create and maintain automated tests and AI evaluation sets, helping assess groundedness, relevance, task completion, tool-call accuracy, retrieval quality, safety and regression\n, • Use rapid prototyping to test assumptions early, then strengthen successful prototypes into supportable production solutions with appropriate logging, monitoring and documentation\n, • Apply secure development and responsible AI practices, including data handling, least privilege, secrets management, input/output validation, auditability and protection against prompt injection and inappropriate data exposure\n, • Use Git, code review, CI/CD and containerisation practices to develop and release software consistently and safely\n, • Monitor production solutions for quality, failures, latency, cost and user feedback and contribute to ongoing optimisation\n, • Work collaboratively with IT, Data and Cyber colleagues on integrations, infrastructure, identity, deployment and production support\n, • Support the Senior AI Solutions Engineer in solution design, technical standards, evaluation practices and reusable development patterns\n, • Demonstrate solutions to business users and explain how they work, their limitations and how they should be used safely\n\n Essential: \n\n • Typically 3+ years' experience in software engineering, application development, data/AI engineering or a related role, with demonstrable hands-on experience building Generative AI applications; equivalent capability and practical experience will be considered\n, • Strong Python development skills and solid software engineering fundamentals, including clean code, debugging, modular design, source control and automated testing\n, • Practical experience using LLM APIs and building applications with system instructions, structured outputs, function/tool calling and context management\n, • Hands-on experience building agentic workflows or AI agents and understanding the difference between deterministic workflow logic and model-driven behaviour\n, • Practical experience of RAG, embeddings and vector/semantic search, including document ingestion, retrieval and grounding responses in source material\n, • Good experience integrating applications through REST APIs and working with JSON, authentication and enterprise data/services\n, • Working knowledge of SQL and handling both structured and unstructured data\n, • Experience with a cloud platform, preferably Microsoft Azure, and familiarity with enterprise AI services such as Azure AI/Foundry, Azure OpenAI or equivalent\n, • Familiarity with at least one modern agent or LLM application framework, for example Microsoft Agent Framework, OpenAI Agents SDK, LangGraph, Semantic Kernel, LangChain or LlamaIndex\n, • Understanding of AI evaluation and testing, including creating representative test cases, regression testing, checking grounding/relevance and assessing whether an agent completed the intended task correctly\n, • Experience using Git and collaborative software development practices; working knowledge of CI/CD, containers such as Docker and application/service frameworks is desirable\n, • Awareness of secure software development, identity and access management, secrets handling, privacy, data leakage and common AI risks such as prompt injection and hallucination\n, • Experience working iteratively with users using Agile or similar delivery practices, including rapid prototyping, user stories, acceptance criteria and continuous improvement\n, • Proficient use of AI-assisted software development tools such as GitHub Copilot, OpenAI Codex or equivalent, combined with disciplined review, testing and verification of generated code\n\n Preferred: \n\n • Experience with Microsoft Azure services such as Azure AI Search, Functions, App Services, Key Vault, Entra ID and Azure Monitor/Application Insights or equivalent services\n, • Experience of building applications that use sensitive, confidential or personally identifiable information within controlled environments\n, • Experience with FastAPI or similar Python application/service frameworks\n, • Exposure to evaluation tooling, observability platforms or techniques for monitoring LLM/agent behaviour in production\n, • Experience in financial services, wealth management, asset management or another regulated industry\n\n Opportunities: \n\n • Build real AI products and agents that move beyond experimentation into day-to-day business use\n, • Work across a wide range of business areas and develop a strong understanding of how a wealth-management firm operates\n, • Develop specialist skills in Agentic AI, RAG, evaluation, AI security and enterprise deployment\n, • Learn directly from a senior AI engineer while retaining meaningful ownership of design and delivery\n, • Gain exposure to senior stakeholders and high-profile business transformation initiatives\n, • Grow with a new AI capability as its technology, operating model and portfolio of use cases expand\n\n AI Solutions Engineer Generative AI Agentic AI Python AI Agents Retrieval-Augmented Generation (RAG) LLM Applications AI Engineering Wealth Management Fast API

\n Microsoft Purview Engineer - £300/day Inside IR35 - 3 Month Contract \n Please note -SECURITY CLEARANCE IS REQUIRED. - This is a fully remote role. You must have the unrestricted right to work in the UK to be eligible for this role - this organisation is not able to offer sponsorship. \n About the Company \n We are working with a leading organisation on a large-scale data and technology programme focused on improving data management, governance, and accessibility across the business. \n This is an excellent opportunity to join a technically focused data programme where you'll work with modern Microsoft technologies, including Microsoft Purview, Azure DevOps, Azure Data Factory, Microsoft Fabric, and Databricks. \n The Role \n As a Microsoft Purview Engineer, you'll play a key role in the implementation, administration, and continuous improvement of the Microsoft Purview platform. You'll work across data cataloguing, metadata management, data lineage, governance, and platform configuration, helping to improve the discovery, management, and visibility of data across the organisation. \n The role also has a strong DevOps and automation focus. You'll work with Azure DevOps, CI/CD pipelines, Infrastructure as Code, APIs, and configuration management to automate Purview deployments and ensure consistent configuration across development, test, and production environments. \n You'll collaborate closely with data architects, governance teams, DevOps engineers, and wider technical stakeholders to support integrations, troubleshoot platform issues, and maintain a stable and well-governed data environment. \n Key Responsibilities \n\n • Configure and support Microsoft Purview environments, including data catalogues, classifications, glossaries, collections, and lineage.\n, • Manage metadata ingestion, scanning, data discovery, and governance processes.\n, • Build and maintain Azure DevOps CI/CD pipelines and automate Purview deployments.\n, • Manage version-controlled configurations, environment changes, and rollback processes.\n, • Develop API integrations and custom connectors for metadata ingestion.\n, • Integrate Purview with Azure and AWS data platforms including ADF, Fabric, Databricks, Synapse, Power BI, SQL Server, and AWS S3/RDS.\n, • Provide production support, troubleshooting, and root cause analysis.\n, • Maintain technical documentation including configuration guides, runbooks, and knowledge articles.\n\n About You \n You will be a hands-on Microsoft Purview Engineer with strong experience across data governance, data cataloguing, metadata management, and Azure DevOps. You'll have experience implementing and supporting Purview within an enterprise environment, alongside strong knowledge of CI/CD, automation, APIs, and configuration management. \n You'll be comfortable working across both data and engineering teams, troubleshooting production issues, automating deployments, and working with a range of Azure and cloud-based data platforms. \n Key requirements: \n\n • 3+ years' hands-on experience implementing and supporting Microsoft Purview.\n, • Strong experience with Data Catalogue, Data Governance, Metadata Management, and Data Lineage.\n, • Proven experience building and maintaining Azure DevOps CI/CD pipelines.\n, • Strong understanding of YAML, Git, and Infrastructure as Code.\n, • Experience with Terraform, Bicep, ARM Templates, or similar IaC technologies.\n, • Experience with REST APIs, Purview APIs, custom connectors, and metadata ingestion.\n, • Strong Azure experience, ideally including Azure Data Factory, Synapse, Azure SQL, Fabric, and Power BI.\n, • Experience with PowerShell and/or Python for automation and integration.\n, • Experience managing configuration across multiple environments and implementing rollback processes.\n, • Experience supporting production environments and troubleshooting technical issues.\n, • Experience working within Agile delivery teams.\n, • Active SC clearance is essential.\n, • Experience with AWS data sources such as S3 or RDS would be advantageous.\n, • Experience with Databricks or other enterprise data platforms would be advantageous.\n\n What's on Offer \n\n • Day Rate: £300.00 (Inside IR35)\n, • 3-month contract opportunity\n, • Opportunity to work on a large-scale data and governance programme\n, • Work with modern Microsoft technologies including Purview, Azure DevOps, Fabric, ADF, and Databricks\n, • Exposure to enterprise-scale data governance, cataloguing, and lineage initiatives\n, • Opportunity to work across data engineering, governance, and DevOps\n\n Why Apply? \n This is an excellent opportunity for an experienced Microsoft Purview Engineer to play a key role in a large-scale data and governance programme. You'll work across Microsoft Purview, Azure DevOps, data governance, metadata, lineage, APIs, and automation, giving you the opportunity to work across both data and engineering disciplines. \n You'll gain valuable experience working with enterprise-scale data platforms and modern Microsoft technologies, while playing a hands-on role in improving how data is catalogued, governed, and managed across the organisation. \n To apply for this role please submit your CV or contact Alessandro Hood (see below) \n Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.

\n Senior Python Developer - GenAI \n\n • Salary: £60,000 - £70,000 plus benefits, perks and healthcare options\n, • Locations: London, Bristol, Manchester, Glasgow or Newcastle\n, • Job Type: Permanent | Hybrid/2 days per week onsite | Occasional travel to client sites\n, • Requirements: SC eligibility & full right to work in the UK required (no sponsorship available)\n\n The Role: \n We're looking for hands-on Python Developers at Senior level who have experience building software and a practical understanding of Generative AI, LLMs and RAG. \n This is a coding-focused role for engineers who enjoy building real solutions. You'll use Python as your primary development language, developing APIs, services and AI applications using technologies such as LLMs, RAG, AI agents and vector search. \n You'll work across the development life cycle, helping take GenAI ideas and POC's through to robust, production-ready applications for enterprise clients. \n What you'll be doing: \n\n • Build production applications and APIs using Python and FastAPI\n, • Develop LLM, RAG and AI agent solutions\n, • Build RAG pipelines covering embeddings, retrieval and generation\n, • Work with OpenAI, Anthropic, Mistral, Llama and similar LLMs\n, • Use LangChain, LangGraph, CrewAI or similar AI framework\n, • Work with vector databases including Pinecone, Qdrant, ChromaDB and PGVector\n, • Take GenAI POCs into production and scale them\n, • Build APIs, microservices and AI integrations\n, • Deploy solutions using AWS/Azure, Docker and Kubernetes\n, • Write clean, testable and maintainable Python code\n, • Work with PostgreSQL, MongoDB, Git and CI/CD\n, • Collaborate with engineers, architects and client stakeholders\n\n What we're looking for: \n\n • Proven leadership and mentoring experience required for Senior Consultant level.\n, • Strong commercial Python development experience\n, • Experience building APIs, microservices and Back End applications\n, • Hands-on experience with LLMs, Generative AI and RAG\n, • Experience with AI frameworks such as LangChain, LangGraph or CrewAI\n, • Experience with vector databases and semantic search\n, • Experience with OpenAI, Anthropic, Mistral, Llama or similar\n, • Good software engineering, testing and Git practices\n, • Experience with AWS or Azure, Docker and ideally Kubernetes\n, • Experience with PostgreSQL, MongoDB or similar databases\n, • Experience with CI/CD using GitHub, GitLab or Jenkins\n, • Agile engineering experience\n, • Experience with AI agents, tool calling, embeddings, prompt engineering or LLM observability is beneficial\n, • React/TypeScript and Terraform/IaC experience is beneficial\n, • Experience taking GenAI POCs into production is highly beneficial\n\n Why this role? \n You'll work on real-world AI engineering projects, combining strong Python software development with modern GenAI technologies. The focus is on building and engineering, giving you the opportunity to write code, develop AI applications and solve technical problems while working with the latest LLM and RAG technologies. \n You'll also have the opportunity to work directly with enterprise clients and develop your experience across both software engineering and Generative AI. \n If you're a strong Python engineer with hands-on GenAI experience and want to build production-level AI applications, we'd like to hear from you.

Senior C++ Engineer - Trading\n \nCertain Advantage is hiring for a Senior C++ Software Engineer based in London.\n \n \nThis role is on an initial 6-month contract basis and is required to be onsite 3 days a week.\n \n The Company\n \nWe're working with a globally recognised organisation at the forefront of energy trading and technology. Backed by significant investment and operating at a global scale, the business develops cutting-edge trading platforms that support high-performance derivatives trading across international markets.\n \n You'll be responsible for:\n \n\n • Developing low-latency exchange connectivity using native exchange APIs and protocols including FIX, WebSockets and HTTP.\n, • Building and enhancing high-performance trading algorithms alongside traders and quantitative analysts.\n, • Optimising application performance through techniques such as Kernel bypass, TLS optimisation and connection tuning.\n, • Investigating production issues, improving system reliability and resolving performance bottlenecks.\n, • Maintaining and extending automated testing frameworks to ensure software quality.\n, • Supporting releases, deployments and continuous improvements across the global trading platform.\nThe Individual\n \n\n • C++ software development experience within financial services.\n, • Experience working in Trading & Capital Markets or Investment Banking\n, • Strong understanding of exchange-traded derivatives and the full trading life cycle.\n, • Knowledge of major global futures exchanges and their native protocols.\n, • Excellent understanding of multithreaded, asynchronous and distributed software development.\n, • Strong knowledge of algorithms, data structures and performance optimisation.\n, • Experience with Python, C#, SQL or other Scripting/programming languages.\n, • A track record of delivering reliable, production-grade applications and deployment best practices.\n, • Strong analytical, problem-solving and communication skills.\n, • The ability to thrive in a fast-paced trading environment with changing priorities.\n\n Does this sound like your next career move? Apply today. \n Working with Certain Advantage \n We go the extra mile to find the best people for the job. If you're looking for a role where you can make an impact and develop your career, we'll work with you to find it. \n We work with businesses across the UK to find the best people in Finance, Marketing, IT and Engineering. If this job isn't for you, head to Certain Advantage to register for job alerts and career guidance.

\n Senior Azure Engineer - Azure application, DevOps & security Engineer - SC Cleared Senior Azure Application, DevOps & Security Engineer \n Location: London (TS) Contract: Temporary Duration: 02 November 2026 - 30 April 2027 Positions: 2 Rate: £385 per day Clearance: SC Clearance required Working: 50% onsite \n Role Overview \n We are seeking a Senior Azure Application, DevOps & Security Engineer to support a major technology programme within a regulated environment. \n This is a hands-on engineering role, focused on productionising an existing application hosted on Azure App Service and establishing a secure, reliable and repeatable Azure platform. \n You will be responsible for integrating Azure API Management (APIM) with App Service, implementing the security and identity model, improving CI/CD, monitoring and operational processes, and providing technical documentation and knowledge transfer. \n Key Responsibilities \n\n • Configure and integrate Azure API Management with Azure App Service\n, • Develop and manage APIM policies, authentication, routing, certificates and error handling\n, • Configure Entra ID, Managed Identities and RBAC\n, • Implement secure API and application access models\n, • Configure App Service settings, networking, DNS and certificates\n, • Develop and improve CI/CD pipelines across multiple environments\n, • Implement infrastructure and configuration using Terraform\n, • Build and integrate REST APIs using Python\n, • Implement logging, monitoring, health checks and alerting using Azure Monitor/Application Insights\n, • Troubleshoot production deployment, connectivity, authentication and application issues\n, • Support repeatable deployment, testing, rollback and recovery processes\n, • Produce technical documentation, operational runbooks and reusable deployment patterns\n, • Provide knowledge transfer to internal technology teams\n\n Essential Skills \n\n • Strong hands-on Azure engineering experience\n, • Azure API Management (APIM)\n, • Azure App Service\n, • Microsoft Entra ID\n, • Managed Identities & RBAC\n, • Azure application and API security\n, • Production CI/CD\n, • Python & REST APIs\n, • Networking, DNS and certificates\n, • Logging, monitoring and operational support\n, • Git-based development\n, • Infrastructure configuration/Terraform\n, • Strong technical documentation and knowledge-transfer experience\n, • Experience working within a secure or regulated environment\n, • Active SC Clearance\n\n Desirable \n\n • Azure DevOps\n, • GitHub Actions\n, • Azure Key Vault\n, • Azure Monitor/Application Insights\n, • Private Endpoints/VNet Integration\n, • APIM policies, rate limiting and request transformation\n, • Databricks\n, • AI/LLM or data-driven application experience\n\n Ideal Candidate \n We are looking for an engineer who can demonstrate recent, hands-on production experience across: \n APIM - App Service - Entra ID - RBAC/Managed Identity - Terraform - CI/CD - Monitoring \n Candidates should be able to demonstrate that they have personally implemented and supported these technologies in production, rather than operating solely in an architectural or advisory capacity. \n SC Clearance and 50% onsite attendance in London (TS) are mandatory.

\n Senior Python Developer - PYTHON/REACT/AZURE/GCP - is required by fast growing and highly successful international organisation. \n They are seeking an experienced Senior Python Developer to help evolve and extend their platform while guiding technical direction and supporting team development. This role centres on solving real-world problems and making thoughtful technical decisions that balance business impact with engineering trade-offs. You will work closely with Product Managers, Designers, and engineers to take ideas from inception through to production, ensuring we build the right solutions for our customers. You will act as both a senior technical contributor and a product-minded engineer, someone who doesn't just implement requirements but actively shapes them. You will challenge assumptions, ask the right questions, and help ensure they are solving meaningful problems in the most effective way. You will contribute to technical strategy by identifying opportunities to improve system reliability, performance, and user experience within their current architecture, while also supporting the evolution of our strategic platform. This role will play a key part in driving the adoption of AI across engineering, leveraging emerging technologies and embedding AI-native workflows to improve how they design, build, and deliver software. \n This role is predominantly hands-on, with around 20-30% of time on technical leadership: architecture, mentoring, and shaping how the team works. \n Key Responsibilities \n\n • Help the team move faster by adopting AI-native workflows and the shift to an agentic development life cycle, without compromising the architectural qualities that make their platform reliable, scalable, and maintainable over the long term.\n, • Define guardrails, review practices, and validation gates that hold AI-generated code to our standards for security, reliability, and cost-efficiency (FinOps). These are first-class concerns in agentic pipelines, not afterthoughts.\n, • Design, build, and operate software across their platform, applying the same rigour to AI-augmented work as to anything else you ship.\n, • Embed deeply with Product and Design from the earliest stages of discovery, using rapid prototyping and iteration to compress the gap between idea and validated solution.\n, • Act as feature lead on a rotating basis, taking accountability for the development and delivery of a feature from shaping through to production. This means partnering with Product and Design on the approach, breaking the work down, coordinating the engineers contributing to it, removing blockers, and being the person who knows the state of the feature at any point.\n, • Shape platform architecture with an architectural lens, contributing to long-term decisions about how AI tooling, LLM integrations, and human-in-the-loop controls evolve across the stack.\n, • Continuously identify and exploit opportunities to improve performance, reliability, and user experience, using observability and analysis to find signals in noisy systems.\n, • Navigate confidently across Legacy and greenfield contexts, applying AI tooling pragmatically to modernise where it matters most.\n, • Set the engineering standard, demonstrating through your own work what excellent looks like when much of the code is AI-generated.\n, • Grow the team's capability and confidence with AI-native practices, coaching more junior engineers to think critically about model outputs, prompt design, and the boundaries of automation.\n, • Define and evolve best practices for code quality, testing, documentation, and delivery in a world where much of the first draft is AI-generated.\n, • Evolve CI/CD pipelines to incorporate agentic workflows, automated testing, AI-assisted code review, and intelligent deployment gates.\n\n About you \n You're a hands-on senior engineer with a product mindset and the judgement to know which trade-offs matter. You care about business impact as much as engineering quality, and you've been building with AI tools long enough to know how to use them effectively. \n You'll likely bring: \n\n • Deep experience building scalable, secure, cloud-based systems, giving you the foundation to confidently guide and validate agentic workflow outputs.\n, • Proven ability to work across both Legacy and greenfield codebases, using modern tooling to improve reliability and evolve architecture pragmatically.\n, • Strong system design fundamentals across scalability, performance, and distributed systems, including API design (REST, GraphQL).\n, • Hands-on experience with observability tooling (Datadog, Grafana, or similar) and a data-informed approach to system health and reliability.\n, • Solid SQL and data management skills, with an appreciation for AI-enabled, data-driven systems.\n, • Familiarity with CI/CD, containerisation (GitHub Actions, GitLab CI, Docker), and DevSecOps practices in modern AI development environments.\n, • A pragmatic approach to testing, knowing what to cover, what to skip, and how to use AI to improve efficiency.\n, • Experience mentoring engineers and supporting the adoption of modern tools and AI-native workflows.\n, • Strong communication skills and the ability to articulate technical decisions and trade-offs clearly.\n\n You'll stand out if you: \n\n • Ask "what problem are we solving and why?" before reaching for a solution.\n, • Act as a genuine partner to Product and Design, shaping the problem, not just delivering against a spec.\n, • Balance technical debt and feature delivery with long-term business value in mind.\n, • Make confident decisions with incomplete information and thrive in fast-moving, evolving environments.\n, • Bring curiosity and hands-on experience with agentic workflows, using them to raise the bar for engineering.\n\n Excellent training and career development opportunities exist for the role right candidate. \n Basic salary £80-110,000 + excellent benefits \n Based London/hybrid

\n Senior AI Consultant - Agentic AI & Generative AI £60,000 - £80,000 base + bonus, training and a strong benefits package | Hybrid working | Office base of your choice: London, Manchester or Glasgow | Full time, permanent \n If you want to build intelligent systems that actually make it into production not just proofs of concept that gather dust this is the role you've been holding out for. You'll join a highly regarded transformation consultancy where strategy, science, creativity and engineering meet, working with major public and private sector clients on Generative and Agentic AI solutions that deliver visible, real-world impact. \n You'll be part of a genuinely tech-obsessed team that experiments freely, works with the newest models and agentic frameworks, and regularly presents its work at major industry events and conferences. If you thrive on rapid prototyping, scaling AI products, and being trusted to explore what's next, you'll feel right at home. What You'll Be Doing \n\n • Designing, developing, testing and deploying Front End and Back End components of GenAI and agentic applications within a data science and AI consulting team.\n, • Designing agentic workflows with HITL gates, auditability, policy controls and robust evaluation/monitoring suitable for regulated clients.\n, • Translating complex business challenges into AI-powered solutions using Generative AI, Agentic AI, data science and analytics.\n, • Collaborating with cloud architects, data scientists, product managers and business consultants to take ideas from concept to production.\n, • Supporting business development building AI demonstrators, contributing to proposals, RFPs, bids, client pitches and client events.\n, • Contributing internally through campaign development, think-tanks, whitepapers, offering development and practice growth, alongside your own funded learning, training and certifications.\n\n What You'll Bring \n\n • Experience gained in a major consulting firm, or in industry with a consulting mindset comfortable in a matrixed organisation and working directly with technical and non-technical client sponsors to shape requirements and build solutions.\n, • A track record of designing and developing full-stack applications across the entire life cycle from early PoCs, through MVPs and testing, to secure, scalable, production-grade deployments.\n, • Proven delivery of solutions using traditional Machine Learning, Generative AI models and Agentic AI frameworks in client-facing environments, including data engineering in cloud environments.\n, • Strong Python (3.10+), TypeScript, JavaScript (ES6+), SQL and Bash.\n, • Front End: React.js, Next.js (App Router & Server Components), Tailwind CSS, ShadCN UI, Redux, Zustand, Jest, Cypress plus AI product UX patterns such as streaming, review loops, provenance/citations, long-running tasks and error recovery.\n, • Back End: Django (5.x+), DRF, FastAPI, Pydantic, Celery, Django Channels, Flask and RESTful APIs.\n, • Databases and storage: PostgreSQL, MS SQL Server, MongoDB, Firestore, BigQuery, Azure Blob Storage.\n, • Cloud and DevOps: Azure (App Services, OpenAI, AKS), GCP (Vertex AI, Cloud Run), Docker, GitHub Actions, Azure DevOps, RBAC and cost controls.\n, • Solid software engineering fundamentals: Clean Code (SOLID, DRY), DDD, modular architecture, TDD and code quality tooling.\n, • Desirable: RAG pipelines, MCP, LLM integration (OpenAI, Gemini, Hugging Face models), LangSmith, TruLens, and agentic frameworks such as LangChain, CrewAI, Autogen, OpenAI Agents and Google ADK.\n\n You won't need every technology on this list. A strong engineering foundation, a good cross-section of these skills, and the curiosity to pick up new tools as projects demand is what really matters. Why You'll Want This Role \n\n • A competitive base salary of £60,000 - £80,000 plus bonus and a comprehensive benefits package including training budget\n, • Hybrid working with your choice of a London, Manchester or Glasgow office base.\n, • Structured training, certifications and genuine investment in your career development.\n, • Freedom to experiment with cutting-edge models and frameworks and see your work go live in the real world.\n\n Ready to Apply? \n If you're a self-starting innovator who loves technology and wants to build the future, apply now with your latest CV. Interviews are moving quickly, so don't wait. \n If you've held any of these roles or used these technologies/skills, this role could be a great fit: GenAI Engineer, Generative AI Engineer, Agentic AI Engineer, AI Engineer, AI Consultant, Machine Learning Engineer, ML Engineer, Full Stack Engineer, Full Stack Developer, Python Developer, Senior Consultant Data Science, Data Scientist, Solutions Architect AI, LLM Engineer, MLOps Engineer, AI Software Engineer, Django Developer, FastAPI Developer, React Developer, Next.js Developer, TypeScript Developer, Azure OpenAI, Vertex AI, LangChain, LangGraph, CrewAI, Autogen, OpenAI Agents SDK, Google ADK, RAG, retrieval augmented generation, MCP, LangSmith, TruLens, prompt engineering, Docker, Kubernetes, AKS, GCP, Azure DevOps, GitHub Actions, PostgreSQL, BigQuery, TDD, DDD. \n Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate £1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.

\n ML Engineer - Circa £700 per day inside ir35 - 2 days per week in London - 12 months + \n My client is a global leading IT consultancy. They are on the hunt for a Machine Learning Engineer to join their client on a long term project. \n Responsibilities: \n\n • Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis.\n\n\n, • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets.\n\n\n, • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance.\n\n\n, • Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement.\n\n\n, • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs.\n\n\n, • Research Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems.\n\n Damia Group Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept our Data Protection Policy which can be found on our website. \n Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job. \n Should the role require the successful candidate to undergo and be eligible for UK Security Vetting. Clearance sponsorship will be provided where required. Due to the nature of the work, candidates should meet the relevant residency requirements. If applicable, Reserved Post nationality restrictions will be confirmed by the client. Damia is committed to inclusive recruitment and welcomes applicants from all backgrounds. \n Damia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003.

\n Hiring: Agentic Forward Deployed Engineer | London, UK Contract: 6 months (extension likely) Location: Hybrid, London | UK-based Employment: Full-time \n We're looking for an experienced Agentic Forward Deployed Engineer to help teams build, secure and operate AI-powered products at scale. \n You'll work closely with engineering, architecture, security and governance teams to establish agentic engineering practices, AI governance, evaluation frameworks, security controls and cost management. Key Responsibilities\n . Establish coding-agent workflows, repository integration and code review practices \n . Coach engineering teams on agent-assisted development \n . Design governance frameworks for agent behaviour, oversight and auditability \n . Review agentic systems for prompt injection, permissions, data boundaries and secrets management \n . Implement LLM evaluation, red-teaming and guardrail frameworks \n . Establish AI cost monitoring, budgeting and reporting \n . Build reusable reference implementations for agentic services and AI-enabled products \n . Upskill UK and international engineering teams and transfer capability to internal owners What We're Looking For\n . Proven experience building, securing and operating production agentic systems \n . Strong expertise in LLM evaluation, red-teaming and guardrails \n . Deep understanding of AI security and risk mitigation \n . Experience with enterprise compliance, data protection and procurement \n . Strong stakeholder management, communication and coaching skills \n . Experience establishing AI engineering, enablement or platform capabilities \n If you have hands-on experience taking agentic AI from experimentation into secure, governed production environments, we'd love to hear from you. \n Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

\n Senior Automotive System Architect - ECU/HIL/Production - Contract. Inside IR35/London/Onsite/Remote. A leading automotive organisation is looking for an experienced System Architect to join their engineering team on a long-term contract. \n This is a senior technical position for an experienced automotive systems engineer with a strong background in ECU/System Architecture, validation and production environments. \n You will take ownership of the System Under Test (SUT) architecture, working across hardware, software, validation and manufacturing to ensure systems are fully integrated, testable and production-ready. \n Key Responsibilities \n\n • Own and maintain the SUT architecture across hardware, software and test environments.\n, • Translate product requirements into complete, consistent and testable system requirements.\n, • Define ECU architectures supporting integration, validation and production.\n, • Ensure systems provide observability, controllability, diagnosability and scalability.\n, • Work closely with validation teams across SIL, HIL and EOL environments.\n, • Define architecture and requirements for ECU flashing, provisioning, diagnostics and fault detection.\n, • Define interfaces between ECUs, vehicle networks, test systems and manufacturing systems.\n, • Support production readiness and ramp-up.\n, • Provide technical leadership across systems engineering, software, validation and industrialisation teams.\n\n Essential Experience \n\n • 15+ years' automotive engineering experience.\n, • Strong Systems Engineering/System Architecture background.\n, • Proven experience with production ECU/system architectures.\n, • Experience across integration and validation.\n, • Strong understanding of SIL, HIL and EOL testing.\n, • Experience with ECU flashing, diagnostics and provisioning.\n, • Strong knowledge of automotive networks including CAN/CAN FD and Automotive Ethernet.\n, • Experience taking systems through development into production/SOP.\n, • Ability to operate as a senior technical authority across multiple engineering disciplines.\n\n Desirable \n\n • AUTOSAR\n, • UDS/ISO 14229\n, • ISO 26262/Functional Safety\n, • Automotive Ethernet/SOME/IP\n, • Production test/manufacturing systems\n, • DOORS, Polarion or similar requirements tools\n, • Distributed ECU architectures\n\n The Opportunity \n This is a highly technical contract position offering the opportunity to work on complex automotive systems from architecture and integration through to validation and production. \n If you are an experienced Automotive System Architect/Lead Systems Engineer with substantial production ECU experience and are available for contract work, we'd like to hear from you. \n Apply now with your latest CV for immediate consideration.

Electronics Design Engineer\n 12 month Rolling Contract \n Outside IR35 \n We are seeking an experienced Electronics Design Engineer to join a highly innovative engineering team developing advanced electronic systems for demanding applications. \n You will be involved throughout the full product life cycle, including system architecture, analogue and digital circuit design, schematic capture, PCB layout, testing, verification, EMC qualification and documentation. This position requires a hands-on engineer who can contribute immediately and work effectively in a multidisciplinary environment alongside mechanical and software teams. Key Skills & Experience\n \n \n\n • Electronics Design Engineering\n, • Analogue & Digital Circuit Design\n, • Schematic Capture & PCB Layout\n, • Siemens Mentor Graphics\n, • EDM (Electronic Design Management)\n, • EMI/EMC Design & Compliance\n, • Battery-Powered System Design\n, • System Design & Integration\n, • Prototype Development & Debugging\n, • Hardware Verification & Validation\n, • Fault Finding & Root Cause Analysis\n, • Cross-Functional Engineering Collaboration\n, • Embedded Systems (desirable)\n, • C/C++ Programming (desirable)\n\n \nRequirements\n \n \n\n • MSc in Electronics Engineering or a related discipline.\n, • Minimum 5 years' experience in electronics design.\n, • Strong knowledge of both analogue and digital electronics.\n, • Experience delivering designs from concept through to production.\n, • Ability to work independently and take ownership of technical decisions.\n, • EU/EEA/NATO citizenship required.\n\n Working Pattern: 100% onsite Sector: Advanced Engineering/Defence Technology \n This is an excellent opportunity for a self-driven electronics engineer with experience in high-reliability environments, EMC-critical designs and military standards. \n WA Consultants is an Employment Business and an Employment Agency as described within The Conduct of Employment Agencies and Employment Businesses Regulations 2003.

\n Python Developer - GenAI \n\n • Salary: £45,000 - £55,000 plus benefits, perks and healthcare options\n, • Locations: London, Bristol, Manchester, Glasgow or Newcastle\n, • Job Type: Permanent | Hybrid/2 days per week onsite | Occasional travel to client sites\n, • Requirements: SC eligibility & full right to work in the UK required (no sponsorship available)\n\n The Role: \n We're looking for hands-on Python Developers at Consultant level who have experience building software and a practical understanding of Generative AI, LLMs and RAG. \n This is a coding-focused role for engineers who enjoy building real solutions. You'll use Python as your primary development language, developing APIs, services and AI applications using technologies such as LLMs, RAG, AI agents and vector search. \n You'll work across the development life cycle, helping take GenAI ideas and POC's through to robust, production-ready applications for enterprise clients. \n What you'll be doing: \n\n • Build production applications and APIs using Python and FastAPI\n, • Develop LLM, RAG and AI agent solutions\n, • Build RAG pipelines covering embeddings, retrieval and generation\n, • Work with OpenAI, Anthropic, Mistral, Llama and similar LLMs\n, • Use LangChain, LangGraph, CrewAI or similar AI frameworks\n, • Work with vector databases including Pinecone, Qdrant, ChromaDB and PGVector\n, • Take GenAI POCs into production and scale them\n, • Build APIs, microservices and AI integrations\n, • Deploy solutions using AWS/Azure, Docker and Kubernetes\n, • Write clean, testable and maintainable Python code\n, • Work with PostgreSQL, MongoDB, Git and CI/CD\n, • Collaborate with engineers, architects and client stakeholders\n\n What we're looking for: \n\n • Strong commercial Python development experience\n, • Experience building APIs, microservices and Back End applications\n, • Hands-on experience with LLMs, Generative AI and RAG\n, • Experience with AI frameworks such as LangChain, LangGraph or CrewAI\n, • Experience with vector databases and semantic search\n, • Experience with OpenAI, Anthropic, Mistral, Llama or similar\n, • Good software engineering, testing and Git practices\n, • Experience with AWS or Azure, Docker and ideally Kubernetes\n, • Experience with PostgreSQL, MongoDB or similar databases\n, • Experience with CI/CD using GitHub, GitLab or Jenkins\n, • Agile engineering experience\n, • Experience with AI agents, tool calling, embeddings, prompt engineering or LLM observability is beneficial\n, • React/TypeScript and Terraform/IaC experience is beneficial\n, • Experience taking GenAI POCs into production is highly beneficial\n\n Why this role? \n You'll work on real-world AI engineering projects, combining strong Python software development with modern GenAI technologies. \n The focus is on building and engineering, giving you the opportunity to write code, develop AI applications and solve technical problems while working with the latest LLM and RAG technologies. \n You'll also have the opportunity to work directly with enterprise clients and develop your experience across both software engineering and Generative AI. \n If you're a strong Python engineer with hands-on GenAI experience and want to build production-level AI applications, we'd like to hear from you.

\n Lead AI Labs Software Engineer (Programmer Software Engineer Developer Python Amazon Web Services AWS Strands Agents AI LangChain LangGraph CrewAI Google AutoGen Pydantic AI Bedrock PydanticAI AgentCore ADK Azure GCP Cloud Asset Manager Buy Side Investment Management Fund Hedge Fund Finance Financial Services Banking Front Office Trading Asset Manager) required by our client in finance in London. \n You MUST have the following: \n\n • Advanced experience as a Python Software Engineer/Programmer/Developer\n, • Leadership experience for the delivery of projects from beginning to end- inception to production\n, • Excellent interpersonal skills\n, • Advanced design and architecture ability\n, • Creating Agentic AI solutions, collaborating with business stakeholders to understand their needs\n\n The following is DESIRABLE, not essential: \n\n • Experience taking Agentic AI solutions into production\n, • AWS\n, • AWS Strands Agents, LLM, Pydantic AI, Bedrock, AgentCore, ADK, CrewAI, AutoGen\n, • LangChain and LangGraph\n, • Finance\n\n Role: Lead AI Labs Software Engineer (Programmer Software Engineer Developer Python Amazon Web Services AWS Strands Agents AI LangChain LangGraph CrewAI Google AutoGen Pydantic AI Bedrock AgentCore ADK Azure GCP Cloud Asset Manager Buy Side Investment Management Fund Hedge Fund Finance Financial Services Banking Front Office Trading Asset Manager) required by our client in finance in London. You will be a lead engineer, working with a manager and two seniors to run the AI labs for the company's UK office. The company has an existing list of UK requirements from its investment, sales and marketing departments that need to be fulfilled with Agentic AI solutions. In the next 6 months, the team is expected to grow out further with another lead and two more seniors, distributing the departments between the teams. \n You will have experience in building Agentic AI solutions and taking them to production. In the role, you will be working with AWS, AWS Strands Agents, LangChain and LangGraph, although you do not need experience of these particular tools. Nor do you need experience in finance. The timeframes for delivering these solutions in the role will be about 3 months at a time. Once in production, the solutions will be transferred to the departmental tech teams. \n As many of the company's clients are going through their own AI journeys, from time to time, you will also showcase the team's solutions to clients. This may also lead to some partnerships with clients to build solutions. \n Your background will be as a Python Developer. The interview process will include a Python pair-programming round and an architectural interview. \n Hybrid working is 3 days/week in the office. Hours are 9am-5pm. \n Salary: £120k - £150k + 25% Bonus + 10% Pension

Goldman Sachs is seeking a Vice President-level Systems Engineer in London to join Futures Mission Control. You will own production systems for multi-asset electronic trading, drive automation, monitor real-time performance, and lead safe deployments. You will interact with trading desks, quantitative strategists, and external vendors to resolve issues and improve reliability. Ideal candidates bring 2+ years in SRE/DevOps, strong programming (Java/C++/Python), scripting skills, and SDLC/Git #J-18808-Ljbffr

Cisco Systems, Inc. is seeking a senior Kubernetes-focused engineer to own end-to-end configuration and delivery of microservice architectures. The role emphasizes GitOps practices, canary deployments, and secure secret management within a hybrid London-based team. Working in the Webex Engineering Group, you will advance AI-assisted configuration, observability, and reliable delivery across dev, staging, and production environments. #J-18808-Ljbffr

Cisco ThousandEyes, part of Cisco, is seeking an Engineer Manager for the Endpoint team. You will lead efforts to give customers unparalleled visibility into end-user connectivity and fast troubleshooting of network issues, whether apps are internal or cloud-based. You will collaborate with product and tech leaders, build scalable backend infrastructure, and mentor engineers, guiding career growth while delivering high-impact features from idea to production. #J-18808-Ljbffr

J.P. Morgan is seeking a Lead Software Engineer to join their International Consumer Bank team in London, UK. We are transforming digital banking with intuitive and enjoyable customer journeys. We have been building the bank of the future from the ground up, offering you the chance to join us and make a significant impact. As a Lead Software Engineer, you will play a crucial role in delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. • Deliver end-to-end solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices, • Use domain modelling techniques to allow us to build best in class business products, • Structure software so that it is easy to understand, test and evolve, • Build solutions that avoid single points of failure, using scalable architectural patterns, • Develop secure code so that our customers and ourselves are protected from malicious actors, • Promptly investigate and fix issues and ensure they do not resurface in the future, • Make sure our releases happen with zero downtime for our end-users, • See that our data is written and read in a way that's optimized for our needs, • Keep an eye on performance, making sure we use the right approach to identify and solve problems, • Ensure our systems are reliable and easy to operate, • Keep us up to date by continuously updating our technologies and patterns, • Support the products you've built through their entire lifecycle, including in production and during incident management, • Formal training or certification on software engineering concepts and applied experience, • Recent hands-on professional experience as a back-end software engineer, • Experience in coding in a recent version of the Java programming language, • Experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.), • Excellent written and verbal communication skills in English, • Experience with cloud technologies and distributed systems, RESTful APIs and web technologies, • Knowledge of messaging frameworks, • Seasoned with operating, supporting and the security of mission critical software applications, • Understanding with different kinds of data stores (including relational data stores), • Coach other team members on coding practices, design principles, and implementation patterns that lead to high-quality maintainable solutions, • Manage stakeholders and effectively prioritize work across multiple work streams, • Experience in working in a highly regulated environment / industry, • Seasoned with cloud-native microservices architecture, • Proficient with AWS cloud technologies We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. #J-18808-Ljbffr

This range is provided by La Fosse. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Direct message the job poster from La Fosse London – 4 x days a week in office We are partnered with a rapidly growing technology/product first company. La Fosse have partnered with this growing business to hire a Data Engineer, you will play a key role in designing, building, and maintaining scalable data pipelines and architecture that power both customer-facing applications and internal analytics platforms. This role offers the opportunity to work across the full data lifecycle – from ingestion and transformation to modelling and integration – in a high-growth, product-led environment. Key responsibilities: • Design, build, and maintain production-grade data pipelines to support customer-facing products and internal dashboards, • Develop and manage ETL processes to ingest, transform, and load data from multiple sources, including APIs, • Design and implement data architecture for efficient storage, retrieval, and processing, • Collaborate with data scientists, software engineers, and business stakeholders to define and deliver on data requirements Required experience: • Proven track record in data engineering, data architecture, and scalable data solutions, • Strong proficiency in Python and SQL, • Experience with data processing frameworks such as Apache Airflow, PyTorch, or Spark, • Hands-on experience building and maintaining data pipelines in production environments, • Knowledge of data modelling, database design, and data normalisation, • Familiarity with CI/CD, data quality management, and backend integration (e.g., Python with Django), • Working with data lakes, warehousing, or other modern data storage patterns, • Exposure to AWS or Azure and data services such as Apache Airflow, Terraform, or SageMaker This is an excellent opportunity for a Data Engineer who thrives in a collaborative, fast-paced environment and wants to see their work directly influence both user experience and business decision-making. Apply now to be part of a mission-led, product-driven business at an exciting stage of growth. • Mid-Senior level, • Full-time, • Information Technology, • Retail Referrals increase your chances of interviewing at La Fosse by 2x Get notified about new Data Engineer jobs in London Area, United Kingdom. London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 week ago London, England, United Kingdom 1 week ago London, England, United Kingdom 3 days ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 4 days ago London, England, United Kingdom 5 days ago London, England, United Kingdom 1 year ago London, England, United Kingdom 2 days ago London, England, United Kingdom 1 month ago London, England, United Kingdom 2 months ago London, England, United Kingdom 1 week ago London, England, United Kingdom 2 days ago London, England, United Kingdom 5 months ago London, England, United Kingdom 2 days ago London, England, United Kingdom 8 months ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom $140,000.00-$180,000.00 1 month ago London, England, United Kingdom 2 days ago London, England, United Kingdom 1 month ago London, England, United Kingdom 2 days ago London, England, United Kingdom 2 days ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 week ago London, England, United Kingdom 3 weeks ago London, England, United Kingdom 3 weeks ago London, England, United Kingdom 3 days ago Greater London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 week ago London, England, United Kingdom 2 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

Intropic is a financial information and software company operating at the cutting edge of global capital markets. We pair modern technology (elastic cloud infrastructure and agentic AI systems) with deep market expertise to build information products that the world's most sophisticated financial institutions rely on every day. Our clients include hedge funds, proprietary trading firms, index fund managers, large asset managers, sovereign wealth funds, and investment banks, who use our products to generate alpha, manage risk, and make better decisions in fast-moving markets. We're best known for our Index Rebalance Forecast products, and we're now extending that edge into several other strategies. Headquartered in London's Canary Wharf and expanding globally, we're a team that moves fast, takes real ownership, and holds itself to a high standard of rigour and integrity. You will own the entire security stack at Intropic. Cloud, endpoints, detection and response, compliance, IT, and the security of our growing AI agent usage all sit with you. You set the priorities, you do the work, and you answer for the results. This suits someone senior who would enjoy the opportunity to lead security at a growing FinTech, rather than operating with small scope in a large team. On a given week you might harden an EKS cluster, tune a detection, scope a pentest, and work out how to give engineers safe access to coding agents. The AI security work in particular is a largely unsolved, very interesting problem, and you will define our approach to it. The role includes out-of-hours response to security alerts. This is a senior role, suitable for someone with 5+ years of experience in security. It may be suitable for senior security engineers wishing to transition to a lead role if you have the required experience. • Engineer and manage the security of our cloud infrastructure across AWS and GCP, from individual EC2 instances to a large EKS microservice estate., • Run detection and response: triage alerts, expand coverage, and keep the tooling honest. If a true positive alert fires at 9pm and it matters, you are the person who handles it., • Threat model new products and services before they ship, and embed security checks directly into CI/CD., • Define what good looks like when it comes to the security of our external SaaS app integrations. This might look like building out an apporval workflow to approve new OAuth connections for our Google accounts., • Secure our use of AI agents (Claude Code, Codex, and similar) and our production generative AI systems, both client facing and internal. Work with each business unit to find mitigations that protect the company without slowing it down., • Establish an automated patching system for systems across every part of our cloud., • Own SOC 2. Run the yearly Type II audit, scope the annual web application pentest, and automate as much of the evidence collection in Drata as you can., • Evaluate where gaps exist in our security policies and build out new policies to fill those gaps., • Assist with running onboarding and offboarding for joiners and leavers, building any automation that makes both fast and complete., • Assist with managing our fleet of roughly 100 endpoints through Jamf and Intune (about 90% macOS, 10% Windows)., • Respond to colleagues' security and IT access questions, and resolve them quickly and courteously., • Own and manage our core SaaS estate, including Google Workspace and GitLab access, scripting away the repetitive parts., • 5+ years security experience spanning multiple domains. You don't have to have directly led a team before although it would be a plus., • Advanced, hands‑on knowledge of a wide range of AWS services, including but not limited to EC2, S3, GuardDuty, Lambda, ECS, and EKS, • Practical experience with Kubernetes, ideally EKS., • Experience threat modelling web applications and responding to real security incidents., • Experience using AI agents, in your own workflow or in security tooling., • Understanding of SOC 2 and comfort with Git., • Working knowledge of Jamf., • Solid scripting ability in Python or Bash, enough to automate a repetitive task and glue two systems together through their APIs, • Willingness and interest in learning and upskilling in areas of security, IT, or GRC you have not encountered before., • Ability to pivot quickly between different domains while keeping a high attention to detail and courteousness to end-users., • Experience of using both Jamf and InTune at a high level., • Experience securing microservice architectures or EKS clusters specifically., • Experience using AI agents for production security workflows., • Ability to use SQL for detection and incident investigation., • Having rolled out DAST or SAST in a production environment. #J-18808-Ljbffr

The TP ICAP Group is a world leading provider of market infrastructure.Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions.Through our people and technology, we connect clients to superior liquidity and data solutions.The Group is home to a stable of premium brands. Collectively, TP ICAP is the largest interdealer broker in the world by revenue, the number one Energy & Commodities broker in the world, the world’s leading provider of OTC data, and an award winning all-to-all trading platform.Founded in London in 1866, the Group operates from more than 60 offices in 27 countries. We are 5,200 people strong. We work as one to achieve our vision of being the world’s most trusted, innovative, liquidity and data solutions specialist.About ICAP RVICAP Relative Value (ICRV) is a dedicated global execution division specializing in US Treasuries (USTs), Futures, and Options markets. Operating around the clock, the unit consists of a dedicated team that executes complex, multi-leg synthetic strategies on behalf of institutional clients.Role OverviewICRV are seeking an exceptional Principal Engineer to own the architecture, design and hands-on delivery of desktop platform automating and streamlining trading desk workflows. This is a high-visibility player-coach role: you will apply deep technical expertise with architectural leadership, to transform desk operations and have a significant influence on the technology direction of this new platform working with offshore partners. It may evolve to include formal people management.Role ResponsibilitiesAct as the primary hands-on technical leader: architect the platform, write correctness-critical code, and set the engineering bar through your own output.Own the technical direction of the ICRV greenfield project, developing high-performance, scalable, and robust solutions from first principles through to production operation.Design for hard non-functional requirements: latency and responsiveness budgets as acceptance criteria, crash containment, least-privilege isolation between sub-applications.Work effectively with a matrix management structure, taking designs through group-wide governance, while delivering business value ensuring adherence to group wide technology standards and mandates.Mentor and coach other team members to achieve optimum performance and career growth. Work effectively to leverage offshore staffing vendors.Establish AI-assisted development as a disciplined team practice using company wide tooling, workflow integration, and the review rigour that makes AI-generated code safe to ship.Communicate technical trade-offs clearly to trading, compliance, infrastructure and middle-office stakeholders; manage risk and escalate honestly.Identify and drive refactoring toward the target architecture as the platform grows.Experience / CompetencesEssentialExperience:10+ years Financial Services building complex front-office trading systems, with demonstrated technical leadership through multi-year delivery.Demonstrated success leading engineering teams through complex, multi-year transformation programmes.Hands-on experience across the full software development lifecycle.Practical experience using AI tools across the development lifecycle, including the review discipline for AI-generated code.Excellent written and verbal communication; effective in a matrixed, global organisation; self-motivated and proactive.Degree in Computer Science, Engineering, Mathematics, Physics, or a relevant analytical discipline.Domain:Understanding of relative-value execution: cash/futures basis, calendar spreads, curve trades, and how that translates into workflow and system requirements.Familiarity with futures market structure (exchange, clearing, margining) and US Treasury market structure (cash bonds, primary dealers, settlement).Knowledge of futures clearing/margin systems (e.g. CME) and Treasury settlement railsExperience with execution/order connectivity protocols (FIX or equivalent) in an interdealer, agency, or execution-desk context.Understanding of 24-hour, multi-region trading operations (follow-the-sun handover, timezone-aware processing across London/New York/Singapore)Technical:Expert-level C# / .NET (LTS): back-end services with ASP.NET Core.Experience designing and delivering event-driven, service-oriented back-end systems (message brokers, async workflows, API design) in a production trading environment.Experience building desktop applications that host web content (e.g., Electron, Tauri, or custom .NET host); comfortable with WebSocket bridges, local service APIs, or IPC mechanisms to connect web UIs with native desktop applications.Sufficient front-end literacy (React, TypeScript, Node) to make architectural decisions, review code, and collaborate effectively with dedicated front-end teams.Demonstrated ability to leverage coding agents in spec-driven development workflows.Strong grasp of process isolation, information security, and identity/access management; experience with event-driven messaging and least-privilege service boundaries.Familiarity with modern build pipelines and tools.Experience designing within formal governance and architecture-review frameworks.DesiredExperience with desktop interop frameworks and protocols (FDC3, OpenFin, or custom IPC/message-bus implementations).WPF or other rich-client .NET UI experience.Experience interfacing with third-party desktop APIs (e.g., Bloomberg DAPI).Performance engineering: profiling and holding hard latency budgets.Experience with high-throughput trade/market-data processing at scale.Cloud platform experience (AWS or equivalent); containerisation and orchestration.Relational data and canonical/JSON data contract design.Design-system principles and component-library development.Role Band & Level: Manager, 7#LI-Hybrid #LI-DIRNot The Perfect Fit?Concerned that you may not meet the criteria precisely? At TP ICAP, we wholeheartedly believe in fostering inclusivity and cultivating a work environment where everyone can flourish, regardless of your personal or professional background. If you are enthusiastic about this role but find that your experience doesn't align perfectly with every aspect of the job description, we strongly encourage you to apply. You may be the ideal candidate for this position or another opportunity within our organisation. Our dedicated Talent Acquisition team is here to assist you in recognising how your unique skills and abilities can be a valuable contribution. Don't hesitate to take the leap and explore the possibilities. Your potential is what truly matters to us.Company StatementWe know that the best innovation happens when diverse people with different perspectives and skills work together in an inclusive atmosphere. That's why we're building a culture where everyone plays a part in making people feel welcome, ready and willing to contribute. TP ICAP Accord - our Employee Network - is a central to this. As well as representing specific groups, TP ICAP Accord helps increase awareness, collaboration, shares best practice, and holds our firm to account for driving continuous cultural improvement.LocationUK - 135 Bishopsgate - London #J-18808-Ljbffr

Marex Group plc (NASDAQ: MRX) is a diversified global financial services platform providing essential liquidity, market access and infrastructure services to clients across energy, commodities and financial markets. The group provides comprehensive breadth and depth of coverage across four core services: clearing, agency and execution, market making, and hedging and investment solutions. It has a leading franchise in many major metals, energy and agricultural products, with access to 60 exchanges. The group provides access to the world’s major commodity markets, covering a broad range of clients that include some of the largest commodity producers, consumers and traders, banks, hedge funds and asset managers. With more than 40 offices worldwide, the group has over 3,000 employees across Europe, Asia and the Americas. For more information visit https://www.marex.com/ Vacancy Number: VN3144 Marex has unique access across markets with significant share globally both on and off exchange. The depth of knowledge amongst its teams and divisions provides its customers with clear advantage, and its technology-led service provides access to all major exchanges, order-flow management via screen, voice and DMA, plus award-winning data, insights, and analytics. This role sits within the Technology department reporting to the Global IT Service Manager. Technology is central to the success of our organisation. The 290+ strong global Technology Department and delivers differentiation, scalability and security for the business. Technology provides digital tools, software services and infrastructure globally to all business groups. Software development and application support teams work in agile ‘streams’ aligned to specific business areas. Our other teams work enterprise-wide to provide critical services including our global service desk, network and system infrastructure, IT operations, design, enterprise architecture and information security. The Software Development function creates and maintains applications, frameworks and other software components to deliver to business requirements. Developers conceive, specify, design, engineer, document, test, and deliver bug fixes as needed to provide high quality software solutions. Each Development team is aligned to one of Marex’s business divisions and works for that division under Head of Technology and corresponding Application Support team. Reporting to the Technology Centre of Excellence Manager, you will lead the Quality Engineering and Assurance capability. Owning the framework, standards and operating model, you will be accountable for ensuring technology quality is effectively governed within a regulated financial-services environment and for driving the transition from manual, downstream QA to an automation-first, continuous and AI-augmented model. Owning the risk-based, proportionate and auditable Quality Engineering framework, you will define the mandatory testing, traceability, segregation of duties, automated quality gates, evidence and assurance requirements necessary to meet regulatory, SOX, audit, risk and internal control obligations. Delivery squads remain accountable for the quality of the technology they deliver and responsible for test execution, while you will ensure the enterprise framework is effective, consistently adopted and provides appropriate independent assurance and challenge. Setting and governing engineering standards, tooling and reusable testing patterns, you will enable squads to meet quality requirements efficiently and consistently. This includes increasing automation across testing and evidence generation, embedding quality controls into CI/CD and driving adoption of AI and agentic capabilities, with appropriate human-in-the-loop controls, traceability and governance. Using quality, control and delivery data, you will identify systemic weaknesses and drive corrective action to continuously improve the effectiveness of Quality Engineering across technology delivery. • Own the risk-based, proportionate and auditable Quality Engineering framework and operating model, ensuring its effectiveness and adoption across technology delivery., • Define testing, quality gates, traceability, evidence and assurance requirements to meet regulatory, SOX, audit, risk and control obligations., • Set Quality Engineering standards, tooling and reusable patterns that enable delivery squads to own and execute quality effectively., • Drive automation-first and AI-augmented Quality Engineering, embedding automated testing, evidence generation and appropriate human-in-the-loop controls into delivery., • Support the Test for Operational Readiness approach, helping to define the testing and evidence required to demonstrate production readiness., • Provide independent quality assurance and challenge, identifying material risks, governing exceptions and driving corrective action., • Use quality, control and delivery data to identify systemic weaknesses and continuously improve quality, engineering capability and delivery outcomes., • Ensuring compliance with the company’s regulatory requirements under the FCA, NFA, AMF, AFM, MAS., • Adhere to the operational risk framework for your role ensuring that all regulatory or company determined parameters are complied with., • Role model for demonstrating highest level standards of integrity and conduct and reflecting Company Values., • At all times complying with the FCA’s Code of Conduct, • To ensure that you are fully aware of and adhere to internal policies that relate to you, your role or any other activities for which you have any level of responsibility, • To report any breaches of policy to Compliance and/ or your supervisor as required, • To elevate risk events immediately, • To provide input to risk management processes, as required., • Quality Engineering leadership : proven ability to own risk-based, proportionate Quality Engineering frameworks, standards and federated operating models, • Automation-first engineering :strong knowledge of automated testing, CI/CD quality gates, evidence generation and modern software engineering practices, • Regulated technology assurance : experience of controls, auditability, traceability, segregation of duties and independent assurance within regulated environments, • Leadership and influence :ability to challenge risk, drive organisational change and influence Engineering, Architecture, Security, Risk, Compliance and senior stakeholders, • Quality transformation : experience transitioning organisations from centralised/manual QA towards federated, automated and engineering-owned quality, • AI-augmented Quality Engineering : practical knowledge of AI/agentic approaches to test generation, execution, analysis and assurance, • Financial-services controls :experience of SOX, technology risk, audit and regulatory requirements within financial services, • Operational readiness :understanding of non-functional testing, resilience, recoverability, observability, supportability and production readiness, • Cloud and DevSecOps :practical knowledge of AWS, CI/CD, security testing, cloud-native engineering and controls-as-code, • Excellent verbal and written communication skills, • A collaborative team player, approachable, self-efficient and influences a positive work environment, • Demonstrates curiosity, • Resilient in a challenging, fast-paced environment, • Ability to take a high level of responsibility in a fast pace and high-volume environment, • Excels at building relationships, networking and influencing others, • Act with integrity, • Act with due skill, care and diligence, • Be open and cooperative with the FCA, the PRA and other regulators, • Pay due regard to the interests of customers and treat them fairly, • Observe proper standard of market conduct, • Act to deliver good outcomes for retail customers Marex is fully committed to being an inclusive employer and providing an inclusive and accessible recruitment process for all. We will provide reasonable adjustments to remove any disadvantage to you being considered for this role. We value the differences that a diverse workforce brings to the company. We welcome applications from candidates returning to the workforce. Also, Marex is committed to avoiding circumstances in which the appearance or possibility of conflicts of interest may exist within the hiring process. If you would like to receive any information in a different way or would like us to do anything differently to help you, please include it in your application. #J-18808-Ljbffr

Hastings Direct is seeking an MLOps Engineer to turn pricing models and data science work into reliable production workflows in a hybrid UK setting (Leicester, Bexhill, London). You’ll own MLOps components, work with Pricing, Data Science, Data Engineering, and governance stakeholders, and help productionise models while maintaining high standards in a regulated environment. You’ll focus on Python, SQL, automation, and good engineering practice, with exposure to cloud platforms and CI/CD. #J-18808-Ljbffr

We’re hiring a Databricks Champion Architect to define and govern our modern lakehouse architecture. You’ll blend solution design, hands‑on technical leadership, and platform enablement; setting patterns, accelerating delivery teams, and ensuring production‑ready engineering on a contract basis. Own end‑to‑end Databricks architecture across ingestion, transformation, governance, serving, and operations. Architect modern ingestion using AutoLoader, Lakeflow Connect, batch/streaming/CDC. Define DLT with Expectations—quality rules, quarantine, observability. Drive production‑ready engineering—CI/CD, environments, monitoring, runbooks. Align with security, EA, governance, platform and delivery teams. Enable squads with playbooks, templates, ADRs, coaching. Support pre‑sales and roadmap—HLDs, estimation, risks, proposals. 2+ years recent hands‑on Databricks experience using modern features. Clear evidence of architecture ownership. Two active Databricks certifications (e.g. Data Engineer, ML, GenAI Engineer). Unity Catalog architecture experience. DLT with Expectations implementation. Modern ingestion with AutoLoader/Lakeflow Connect. Ability to articulate recent Databricks feature usage. Strong Delta Lake performance skills—MERGE/CDC, partitioning, OPTIMIZE/ZORDER, VACUUM. Cloud integration (Azure/AWS/GCP). Ability to standardise and influence across teams. Lakeflow connectors, RBAC/masking, GenAI (Mosaic AI, Vector Search, RAG), Lakebase. #J-18808-Ljbffr

At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive. Your Role As a Forward Deployed Lead / Principal Engineer (FDE) with an AI & Agentic Engineering focus (Band 9), you own the technical direction and delivery of major enterprise AI programmes - architecting the agentic systems and generative AI applications that go into production in close collaboration with platform engineering. You align enterprise goals with target-state AI architectures for senior stakeholders, guide the team’s technical direction while staying close to the work, and work hand-in-hand with the platform engineers on the team throughout design, build, and deployment. You combine deep expertise in agentic AI systems, RAG, and applied software engineering with strong consulting acumen. You establish AI governance frameworks, champion sound engineering practice across the AI delivery lifecycle, and act as a go-to technical reference on complex engagements. • Design and build agentic AI applications and multi-agent workflows, along with the frameworks that run them, for enterprise use cases, • Build RAG pipelines and integrate LLM APIs, vector databases, and MCP (Model Context Protocol) tooling, • Process unstructured data into condensed, structured knowledge, including ontology extraction, • Write production‑grade Python services (FastAPI) with solid engineering practices: design, testing, code review, CI/CD, • Work with relational and graph databases (e.g. Postgres, Neo4j) to model and serve data behind AI applications, • Work closely with platform engineering throughout deployment - hosting, scaling, and MLOps/LLMOps - without owning that infrastructure yourself, • Define AI governance and responsible-use guardrails: data privacy boundaries, LLM governance, and policy enforcement (OPA/Rego), • Instrument AI applications for observability (OpenTelemetry, Prometheus) so behaviour and cost stay visible in production, • Translate enterprise requirements into AI solution roadmaps for senior stakeholders, • Capture field learnings, codify reusable agentic patterns, and mentor engineers hands‑on, • Provide architectural oversight across multi-disciplinary workstreams, staying close enough to unblock the team directly You don’t need to tick every box below to apply — this reflects the breadth of the role, not a strict checklist. • 8–10+ years in software or solution engineering, with a track record of shipping AI systems in client‑facing engagements, • Strong Python engineering (FastAPI), with solid SDLC practices: design, testing, code review, CI/CD, Git & GitHub, • Hands‑on experience with agentic AI frameworks (examples include LangGraph, CrewAI, AutoGen, Semantic Kernel, OpenAI’s Agents SDK, and Google’s Agent Development Kit) and MCP (Model Context Protocol), • Practical experience building RAG/LLM‑based pipelines and working with vector databases, • Experience with relational and graph databases (e.g. Postgres, Neo4j) for data modelling behind AI applications, • Hands‑on familiarity with modern AI coding copilots (e.g. Claude, Codex, Cursor), • Strong stakeholder communication, translating AI capability into business outcomes for senior stakeholders, • Willingness to travel and work on customer premises as required, • Degree in Computer Science, Data Science, Informatics, Engineering, Physics, Mathematics, or a related discipline — or equivalent professional experience, • Familiarity with observability instrumentation for AI systems (OpenTelemetry, Prometheus), • Experience with AI/ML frameworks (TensorFlow, PyTorch) and the Hugging Face / open‑source AI ecosystem, • Experience with image understanding and OCR, • Working knowledge of policy‑as‑code (OPA/Rego) for AI governance and guardrails, • Understanding of LLM governance: data privacy, guardrails, and responsible‑use controls, • T‑shaped profile: deep expertise in AI engineering, broad understanding across software engineering and technical consulting We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don’t meet every requirement, we encourage you to apply. We believe in growth, and we’re excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging — being a valued, respected, trusted member of the team — is fundamental to our culture and fueling great experiences for our customers. That’s The Kyndryl Way. Our dynamic, hybrid‑friendly culture supports your well‑being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health—because we know that when you feel your best, you do your best. From your very first day, you’ll dive into impactful work that powers the systems our customers rely on every day. You won’t just contribute—you’ll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth. We’ll champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you’ll have everything you need to thrive and evolve. You’ll develop in‑demand skills to grow your career and achieve your ambitions with access to cutting‑edge learning opportunities—from certifications with Microsoft, Google, and Amazon to coaching and hands‑on experiences. And through it all, you’ll be part of a culture that values empathy, restless learning, and a devotion to shared success. We want you to thrive here—and we’re committed to helping you do just that. At Kyndryl, we achieve progress the world depends on, with purpose. Beginning with the purpose that matters to you. Because here, you will be part of a culture designed with purpose. One that is restless, empathetic and devoted. Where we are committed to sustainable progress for our customers and supporting the communities where we work and live. All of you is what we want. And what we need. Join us, and together, we can advance the vital systems that power human progress. #J-18808-Ljbffr

Who Are We & What We Do Pole Star Group is a leading Enterprise Asset Management solutions provider dedicated to enhancing safety, efficiency, and operational excellence across critical sectors such as Railways, Highways, and Healthcare. Our comprehensive suite of solutions, including Systems, Inspections, and Maintenance, empowers organisations to optimise asset performance and ensure the highest safety and reliability standards. • People 1st: We believe that our employees are our greatest asset. We foster a supportive and inclusive environment where everyone can thrive and contribute their best. By investing in our people, we ensure exceptional service and value for our customers., • Customer Obsession: Our customers are at the heart of everything we do. We strive to exceed their expectations through innovative solutions, exceptional service, and a relentless focus on their needs and satisfaction., • Disruptive Innovation: We embrace change and encourage creativity. We are not afraid to challenge the status quo and pursue bold ideas that drive progress and set us apart from the competition., • Integrity: We conduct our business with the highest levels of honesty and transparency. We are committed to ethical practices and building trust with our employees, customers, and partners., • Excellence: We aim for excellence in all our endeavours. We set high standards, continuously improve, and celebrate our successes while learning from our challenges., • Have Fun: We believe that balancing hard work and fun is key to success. We foster a dynamic and enjoyable work environment where teamwork, enthusiasm, and a sense of adventure are encouraged., • Environmental Commitment: Senior management is fully committed to the principles of ISO 14001 and operates within its framework to ensure responsible environmental management across all areas of the business. As a remote‑first organisation, we recognise the unique opportunities and responsibilities we have to reduce our environmental footprint through digital operations. All team members are expected to support our environmental objectives by embracing sustainable practices in their remote work environments and contributing to our culture of continuous environmental improvement. We are seeking a highly skilled Engineering Manager with expertise in civil engineering and asset management. This is an exciting opportunity to lead and develop an engineering department that integrates traditional engineering methods with cutting‑edge digital solutions. The role involves overseeing asset inspections and infrastructure maintenance using modern technologies such as drone surveys, LiDAR scanning, and BIM modelling. The ideal candidate will be a forward‑thinking leader, experienced in structural examinations, risk assessment, and competency management. A passion for infrastructure asset management and digital transformation will be key to driving innovation. This is a hands‑on role that combines technical expertise, leadership, and a commitment to training and mentoring junior engineers. • Lead and develop the engineering department, integrating digital asset management solutions with traditional engineering best practices., • Act as a Contractors Responsible Engineer (CRE) for infrastructure projects., • Oversee competency management systems, ensuring alignment with industry standards such as NR/L2/CIV/1000., • Lead the development and implementation of technical training programmes to upskill engineers and examiners., • Conduct and manage condition assessments across multiple sectors (rail, highways, and infrastructure), providing expert recommendations for maintenance and repair., • Provide technical leadership in asset inspections, ensuring accurate assessments and production of Interim Assessment Reports., • Support tender preparation and contribute to commercial decision‑making, including project pricing and proposals., • Manage and support engineering teams, including setting KPIs, personal development plans (PDPs), and weekly work schedules., • Foster a culture of mentorship and continuous learning, guiding junior engineers and examiners through structured development plans., • Maintain hands‑on involvement in on‑site asset inspections, ensuring high standards and preventing skill fade., • Expand expertise in other engineering disciplines, including earthworks examinations, drainage assessments, and additional STE competencies., • Degree in Civil Engineering (BSc/BEng) or equivalent experience., • Relevant industry certifications, such as:, • STE02 Reviewing Engineer, • STE04 Structures Examiner, • STE06 Tunnel Engineer, • Competence Assessor Qualification, • Full UK driving licence, • Strong expertise in structural inspections, risk assessment, and remedial work recommendations., • Experience leading technical teams, driving best practices in engineering operations., • Ability to develop and deliver training programmes to support competency frameworks., • Strong analytical and technical report writing skills, ensuring clarity in findings and recommendations., • Proven experience in leading digital transformation projects in engineering and asset management., • A level of travel will be required., • Leadership & Management Diploma or equivalent qualification., • Additional competencies such as:, • STE5, STE7 certifications, • IRATA Level 1+ (Rope Access), • Drone Pilot Licence (A2CofC/GVC), • Previous experience in a remote or hybrid working environment., • Lead and shape an innovative engineering department focused on technology‑driven solutions., • Work with a highly skilled, forward‑thinking team committed to advancing engineering practices., • Access to continuous professional development, technical training, and accreditation support., • A competitive salary, performance‑based bonuses, and excellent benefits package., • A workplace that fosters collaboration, innovation, and personal growth., • Opportunities to contribute to high‑impact projects that enhance safety and efficiency in critical infrastructure sectors., • A culture that values work‑life balance, employee wellbeing, and professional satisfaction., • 25 Days Holiday (plus Christmas shutdown), • Benefits Package and Pension, • Hybrid Working (we are currently remote‑first moving to hybrid working – London Based), • Flexible working hours, • Home Office Equipment (Desk, Chair, Laptop, Mobile devices as required) If you are an ambitious Engineering Manager ready to take on a leadership role, drive technical excellence, and lead transformative projects in infrastructure and asset management, we’d love to hear from you! #J-18808-Ljbffr

Department: Engineering Employment Type: Full Time Location: London Compensation: £90,000 - £105,000 / year TL;DR Kharon is seeking a full-time AI Engineer, Retrieval & Agentic Systems based in London. Location: London, UK Annual Remuneration: £90,000 - £105,000 and discretionary annual bonus Pay Frequency: Monthly Probationary Period: 180 days Work Arrangement: Hybrid, 3-days per week • Owning and evolving Corestream, Kharon's risk intelligence feed — a dynamic platform that surfaces entity-level insights and topic-based risk narratives to customers, • Redesigning and improving Kharon's semantic search capabilities, opening new avenues for content discovery — drawing on modern approaches including BM25 tuning, semantic distance, RAG, and reranking, • Integrating Kharon's risk analysis outputs into the search layer, ensuring that graph-based insights surface meaningfully within search results and sub-network exploration, • Driving the evolution of Kharon's narrative generation pipeline — how we take graph and analytical data and transform it into compelling, accurate written intelligence for customers, • Partnering with Product and Engineering to take ownership of the Corestream roadmap and push it to its next stage, • Tweaking and optimizing the metrics that define search quality and narrative relevance, • A proven interest or experience in global security, financial crimes, sanctions, export controls, or related domains, • 3+ years of experience in a Data Science or AI Engineering role, • Hands-on experience with semantic search — including familiarity with BM25, vector search, reranking, and retrieval evaluation, • Experience with RAG pipelines and working with agentic systems in production, • Proficiency in Python and SQL, • Strong product alignment — able to read a roadmap, take ownership of tickets, and drive initiatives forward independently, • Bonus: Experience with graph-aware search or integrating knowledge graph outputs into retrieval systems Kharon operates at the nexus of global security and is on a mission to revolutionize the current landscape. We take complex data as it relates to global security and empower our clients to not only understand the risk associated with their potential business relationships but to operationalise that data so that they can make the best and most informed decisions possible. From financial crimes and sanctions to export controls and threat identifications, our tools optimise protection against the types of risks that could otherwise be incredibly dangerous and excessively costly to any business. Serving many of today’s leading global financial and multinational institutions, Kharon products are the most powerful in the space with a precision and depth that is absolutely unparalleled. When you look at any major global crisis event, we’re providing intelligence that’s at the heart of those circumstances. We connect the dots in a way that’s meaningful. As the world continues to evolve in complexity, so too does the demand for our products. Given the significance of our work and the increasing global reliance on our insights, we are looking for a Senior AI Engineer, Agentic Systems to join us as we work to shape the way businesses perceive and navigate global risks. • Fully-sponsored private health insurance, • Pension plan with 3% employer contribution, • Annual leave plus bank holidays Kharon is committed to cultivating and maintaining a workplace that is free from harassment and discrimination. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ethnicity, gender, gender identity or expression, sexual orientation or identity, neurodiversity, appearances, age, protected veteran status, or status as a qualified individual with disability. We are committed to making reasonable adjustments to support disabled applicants and employees. If you require any adjustment to participate in the recruitment process, please contact apply@kharon.com. You must have the right to work in the UK. Kharon is unable to offer visa sponsorship for this role. Kharon is committed to protecting your personal data in accordance with the UK General Data Protection Regulation (UK GDPR) and the Data Protection Act 2018. We collect the personal data you submit as part of your application — including your name, contact details, employment history, and qualifications — to assess your suitability for the role. Our lawful basis for processing is legitimate interests (Article 6(1)(f) UK GDPR). If your application is unsuccessful, your data will be retained for up to 12 months before being securely deleted. If you accept a role, your data will transfer to your employee record. You have the right to access, correct, or request deletion of your data, to object to or restrict its processing, and to lodge a complaint with the UK data protection authority, the ICO, at www.ico.org.uk. To exercise your rights, contact us at apply@kharon.com. #LI-AG1 #LI-Hybrid #J-18808-Ljbffr

At Engine by Starling, we are on a mission to find and work with leading banks all around the world who have the ambition to build rapid growth businesses, on our technology. Engine is Starling's software-as-a-service (SaaS) business, the technology that was built to power Starling Bank, and a year ago we split out as a separate business. Starling has seen exceptional growth and success, and a large part of that is down to the fact that we have built our own modern technology from the ground up. The Engine technology platform is now available to banks and financial institutions all around the world, enabling them to benefit from the innovative digital features, and efficient back-office processes that has helped achieve Starling's success. Our technologists are at the very heart of Engine and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Engine is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, and discovering to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. We have a Hybrid approach to working here at Engine - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. About Engineering at Engine by Starling - https://enginebystarling.com/careers/engineering/ As a Security Engineer at Engine, you'll be working on helping to keep our infrastructure secure and compliant and our staff safe and productive. You'll be working on projects covering identity and access management, cloud and network security, vulnerability management, security monitoring, security hardening, compliance reviews, and more. It's a very varied role with lots of close interaction with the infrastructure, security engineering, cross-cutting and compliance teams. We are looking for an experienced Senior level GCP Security Engineer to join our established Security Engineering team, working closely with Information Security, Infrastructure and the various Engine Technology teams to make sure security is at the heart of all our technical processes. As our subject matter expert, you will take ownership of engineering the security foundations of our Google Cloud Platform environment. This is a hands-on role for a specialist with a proven track record of designing, building, and automating security controls specifically for GCP, including hardened GKE clusters. Engine by Starling engineers are excited about helping us deliver new features, regardless of what their primary tech stack may be. Hear from the team in our latest Blog or our case studies with Women in Tech. • Collaborate with stakeholders to define our Google Cloud security architecture (cloud identity, runtime security, security posture), • Design, document, build and maintain a secure and scalable infrastructure on GCP using Infrastructure as Code, • Be part of the team responsible for safeguarding our systems, applications and data by ensuring secure user access, authentication and authorisation mechanisms are in place, • Engineer and automate technical controls within GCP to ensure and demonstrate continuous compliance with stringent standards such as PCI DSS and 3DS, • Drive security infrastructure deployments across our growing environments, • Perform regular security assessments, audits, threat modelling and architecture design reviews to identify risks and vulnerabilities, triage found risks, identify improvements appropriately and design controls to implement as corrective actions, • Lead incident response efforts, including investigation and remediation of security breaches, • Support our internal security awareness and training programs, advocating the DevSecOps mindset that we have created across our technology teams We're open-minded when it comes to hiring and we care more about aptitude and attitude than specific experience or qualifications. If you have an innate passion for security and care enough to find elegant solutions to difficult problems, we'd love to hear from you. • Mature understanding of cloud security architecture, with deep expertise in GCP and a proven track record, • Experience creating a GCP landing zone, configuring services such as organisation policies and VPC Service Controls, • A deep understanding of GCP IAM and its limitations, • Experience with service-oriented architecture using containers, distributed systems and immutable infrastructure on GCP (including GKE, Compute Engine, Shared VPC and Cloud SQL), • Expertise in Kubernetes, securing clusters (GKE) and meshes (Cilium is preferable), networking best practices and RBAC implementation (CKA, CKS qualifications are a plus), • Experience with Infrastructure as Code and infrastructure provisioning tools, particularly Terraform, • Experience configuring GCP-native security posture and threat management with Security Command Center, • Experience securing the software supply chain with Binary Authorization, Artifact Registry and Artifact Analysis, • Experience with key and secret management on GCP - Cloud KMS, Cloud External Key Manager (EKM) and Secret Manager - including cryptographic key ceremonies, • Experience with Workload Identity and Workload Identity Federation for keyless authentication of workloads and CI/CD, • Experience configuring and utilising cloud-native security logging, monitoring and detection services, • Strong programming skills - in security we write our own scripts for automation in Python, Go and other languages while contributing to open-source tools so we can utilise them, • In-depth knowledge of security principles, technologies, best practices, and threat detection and mitigation strategies, • Knowledge of common attack vectors and methodologies (OWASP Top 10, MITRE ATT&CK Framework and social engineering tactics), • The ability to identify potential threats, attack vectors and vulnerabilities in systems and applications, • The ability to document security requirements from various stakeholders, • Excellent problem-solving, communication and active listening skills with an innate passion for security, • The ability to identify security gaps and create solutions to minimise risk and impact to us, • A proactive approach to staying updated with the latest security threats, vulnerabilities and mitigation techniques, • Thorough understanding of the incident response process (preparation, identification, containment, eradication, recovery, lessons learned), • In-depth knowledge of network security, including core routing and switching concepts (TCP/IP, BGP, VPNs), security controls (firewalls, WAFs, IDS/IPS), and practical experience designing hybrid connectivity between GCP and on-premise environments, • Experience with data-residency and regulated-workload controls such as Assured Workloads and Access Transparency, relevant to deploying per-market for different banks' regulators, • Hands‑on experience taking a company through security and compliance frameworks like NIST, SOC 2, ISO 27001 and PCI DSS, • Experience automating security controls and compliance checks against standards and frameworks including SOC 2, ISO 27001 and PCI DSS / 3DS, • Container security knowledge including container image provenance (e.g. Sigstore, Notary) with an in-depth knowledge of container runtimes, and an understanding of integrating security into the software development lifecycle, • Experience performing secure code reviews and security approvals, including the use of static and dynamic application security testing (SAST / DAST) tools, • Experience in cryptography management and enhancements, • Relevant security certifications such as ISC2 CC, CISSP, CCSP, CISM, AWS Security Specialty or GCP Professional Cloud Security Engineer The main part of our tech stack is listed below. We don't ask that you have experience in all of it, but if you do, that's great! • Java, which makes up the majority of our backend codebase, • GCP and AWS - we're cloud-native, • Microservice-based architecture, • Kubernetes (GKE on GCP, EKS on AWS), • TeamCity for CI/CD (with multiple production releases per day), • Terraform and Grafana, • RDS and CloudSQL for PostgreSQL Interviewing is a two-way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: • Initial interview with an Engineer - ~45 minutes, • Take-home technical test, to be discussed in the next interview, • Technical interview with some Engineers - ~1.5 hours, • Final interview with our CTO / deputy CTO - ~45 minutes, • 33 days holiday (including public holidays, which you can take when it works best for you), • An extra day's holiday for your birthday, • Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off, • 16 hours paid volunteering time a year, • Salary sacrifice, company enhanced pension scheme, • Life insurance at 4x your salary & group income protection, • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton, • Generous family-friendly policies, • Incentives refer a friend scheme, • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks, • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Engine by Starling is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Engine by Starling are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Engine by Starling and Starling Bank will collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we will process, where we will process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information. We use AI tools to support various parts of our recruitment process, helping our team manage applications and assessments more efficiently. These tools are strictly used for support and do not replace human judgment with all final hiring decisions being made by our team. If you would like more information about how your data is processed, please reach out to us. #J-18808-Ljbffr

Barings is seeking a Forward Deployed AI Engineer to embed with Investment, Client & Support teams in London. You will scope, prototype, validate with the business, and ship production‑grade AI solutions spanning automation and client‑facing tooling. You will work across design, testing, and documentation, leveraging AI‑native platforms and platform‑level patterns to drive measurable value. You will balance business understanding with software engineering depth, distill ambiguous problems, and #J-18808-Ljbffr

Full job description The Infrastructure Engineer (L4) is the Hosting team's subject matter expert for VMware NSX-T and platform networking, and a well-rounded engineer across the wider VMware private cloud stack. The role owns NSX-T design standards, escalation and capability uplift within the team, while contributing to the day-to-day engineering and operation of the full private cloud estate — vSphere, vSAN, VCF, backup and disaster recovery — for customers with demanding availability and recovery expectations. Claranet’s strategy is to build long term, trusted relationships with customers by delivering secure, resilient, and high quality managed services. The Senior Infrastructure Engineer underpins this mission by ensuring critical infrastructure services are engineered, operated, and evolved to meet stringent regulatory, availability, and recovery expectations. • Design, implement, and support complex infrastructure solutions across on-premises, private cloud (VMware) environments including VMware NSX-T, • Lead planning, execution and disaster recovery activities from a VMware platform and networking perspective., • Ensure infrastructure services are available, performant, and operating as designed, • Support the team to operate enterprise-grade backup, recovery, and data protection solutions, ensuring alignment with RPO/RTO requirements, • Act as the recognised NSX-T authority within the Hosting team, • Own NSX-T design standards, reference architectures, patterns and build documentation, • Deliver structured knowledge transfer, training and mentoring to raise NSX-T capability across the team, reducing single-person dependency, • Represent platform networking in design authority, change advisory and architecture forums, • Own the NSX-T upgrade and lifecycle roadmap across the estate, • Lead root cause analysis for major incidents, • Ensure infrastructure and backup services comply with financial services regulations and frameworks (e.g. FCA, PRA, DORA, ISO 27001, SOC), • Design and operate solutions that support operational resilience, business continuity, and disaster recovery, • Support regulatory audits, customer assurance activities, and risk assessments, • Senior technical presence with confidence and gravitas, • Calm, methodical, and decisive under pressure, • Strong sense of ownership and accountability, • Excellent communicator with technical and non-technical audiences Essential: • Proven experience as a senior infrastructure engineer supporting VMware mission-critical environments, • Deep, hands-on experience designing, implementing and operating VMware NSX-T / NSX 4.x in production, including Tier-0 and Tier-1 gateways, edge nodes and edge clusters, segments and overlay/VLAN transport zones, and NSX Manager lifecycle and upgrades, • Distributed Firewall and micro-segmentation policy design, plus gateway firewalling and NAT, • Dynamic routing and peering between NSX and physical fabric (BGP, ECMP, VRF), and NSX load balancing / IPsec & L2 VPN, • Troubleshooting overlay networking end to end (Geneve/TEP, MTU, uplink profiles, traceflow, packet capture), • Strong understanding of operational resilience, DR, and business continuity requirements, • Standard business hours, with participation in an on call rota (1 in 4, compensated) At Claranet, we go the extra mile with our people—because we believe in building a workplace where everyone feels valued and supported. Our flexible benefits package includes: • Pension Scheme: Employer-matched contributions to help you plan for the future., • Comprehensive Healthcare Coverage: Access to private medical care for your peace of mind and wellbeing., • Discounted Gym Memberships: Prioritise your fitness with exclusive rates at leading gyms., • Personalised Wellbeing Support: App-based resources and services available 24/7, • Enhanced Annual Leave: 25 days of holiday, increasing to 27 days with service, plus bank holidays and a day off for your birthday., • Continuous Learning & Development: Ongoing opportunities to grow your skills and advance your career. What makes us unique is Team Claranet, our internal community that supports causes close to our employees’ hearts. We offer paid charity leave, support local charities across our offices, and host annual fundraising events, all backed by a dedicated committee. We’re proud founding members of TC4RE (Technology Community for Racial Equality) working collectively to build a more diverse and inclusive tech industry. Founded at the beginning of the dot com bubble in 1996, our CEO Charles Nasser had a light bulb moment to develop a truly customer-focused IT business. Since then, Claranet has grown from an Internet Service Provider (ISP) in the UK to being one of the leading business modernisation experts, who deliver solutions across 11+ countries. Diversity, equity and inclusion are at the heart of what we value as an organisation. Claranet is an equal opportunities employer and all qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, age, disability or any other status protected by law. Our recruitment team are happy to support any reasonable adjustments that are needed within the recruitment process. #J-18808-Ljbffr

Engineer and operate the AI tooling estate • Engineer and operate the AI Team's model gateway and routes to hosted and external model providers, managing integrations, credentials, quotas, routing rules, fallback, and rate limits., • Implement identity, role-based access, entitlements, and secure secret handling with enterprise IAM and AI Security, and monitor availability, latency, errors, usage, and policy breaches with auditable records of model access, decisions, and costs., • With AI Security and AI Governance Implementation, establish a risk-based process for evaluating and onboarding new AI products, model providers, versions, and platform features, leading the technical discovery, pilots, and production-readiness reviews, and distinguishing routine upgrades from materially new or higher-risk capabilities., • Work with AI Architecture on buy-versus-build decisions and encode approved controls into the platform., • Act as service owner and administrator for Microsoft 365 Copilot, GitHub Copilot, and Copilot Studio, controlling every administrative setting and policy through delegated administrator roles in the tenants Central Technology operates., • Own the deployment plan: licence assignment, cohort sequencing, environment and connector strategy, agent publishing routes, and the order in which capability reaches each part of the firm., • Define the Copilot roadmap with the Principal AI Architect and AI Security, deciding which vendor features are made available and to whom, and staging capability until the required controls are evidenced., • Govern the Copilot Studio maker experience - environments, data-loss-prevention policies, connectors, and publishing approval - so business users build agents inside agreed guardrails., • Own and maintain the usage, cost, and token telemetry across every AI system - the model gateway, Copilot services, Azure AI Foundry, and external providers - so consumption is attributed consistently to users, teams, agents, applications, and providers, and keep it accurate as the estate changes., • Administer token budgets at the granularity the firm needs, whether by user, team, agent, application, or use case. Set, adjust, and enforce allowances through quotas, alerts, and access boundaries, and give budget owners the visibility to manage their own consumption., • Report on adoption, licence take-up, spend, and service quality in enough detail to support funding decisions, and identify underused licences and duplicated products., • Act as technical owner for AI software vendors, supporting selection, due diligence, licensing, renewals, and exit planning with Procurement, Legal, TPRM, and Finance, and track vendor roadmaps, deprecations, and security advisories., • Work alongside Percepta and other delivery partners while new platforms are built, and accept platforms into service only when ownership and controls are clear., • Partner with AI Engineering and Forward Deployed Engineering so teams self-serve approved tools and models; with AI Governance Implementation, Risk, and AI Security to turn policy into automated controls; with AI Architecture to stay aligned to the target architecture; and with the AI Enablement Partners so training matches what the platform permits., • Hybrid working and reasonable accommodations, • Generous Holiday policies, • Excellent Health and Wellbeing benefits including corporate membership to Wellhub, • Paid volunteer time to step away from your desk and into the community, • Support to grow through professional development courses, tuition/qualification reimbursement and more, • Maternal/paternal leave benefits and family services, • All employee events including networking opportunities and social activities, • Lunch allowance for use within our subsidized onsite canteen At least five years in platform engineering, software engineering, DevOps, SRE, or cloud engineering, including building and operating shared services used by multiple teams. • Azure AI Foundry, Azure OpenAI, Anthropic Claude, Microsoft 365 Copilot, GitHub Copilot, or Microsoft Copilot Studio., • Microsoft 365, Entra ID, Purview, and Power Platform administration, including admin-centre configuration, data-loss-prevention policies, and environment strategy., • Experience building or operating an AI gateway, inference-routing layer, or multi-provider model platform., • Terraform, Docker, Kubernetes, or Azure DevOps, and enterprise observability, ITSM, or FinOps platforms., • Financial-services or asset-management experience, including regulated data and third-party risk processes., • Mentoring, • Leadership development programs, • Regular training, • Career development services A career at Janus Henderson is more than a job, it's about investing in a brighter future together. Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service. We will do this by protecting and growing our core business, amplifying our strengths and diversifying where we have the right. Our Values are key to driving our success, and are at the heart of everything we do: Clients Come First - Always | Execution Supersedes Intention | Together We Win | Diversity Improves Results | Truth Builds Trust If our mission, values, and purpose align with your own, we would love to hear from you! Janus Henderson is undertaking a firm-wide AI transformation to become the most technologically sophisticated asset manager in the industry, and it has to move quickly without compromising security, resilience, or regulatory obligations. Our AI capability sits in a single centralised function under the Head of AI. AI Technology owns the AI product and workload plane - the software, models, gateways, and controls used to build and run AI across the firm - and AI Platforms is the team within it that owns the tooling estate itself. As Senior AI Platform Engineer, reporting to the Head of AI Technology, you will own the day-to-day engineering and lifecycle of that estate, from Azure AI Foundry and the AI model gateway through to Claude and our Copilot services. You will assess new products, run controlled pilots, automate onboarding, and turn selected tools into supported services. You will also hold the administrator seat for Microsoft 365 Copilot, GitHub Copilot, and Copilot Studio, controlling their administrative settings and the plan by which they are deployed. This is a hands‑on role with broad ownership, working across AI Engineering, AI Architecture, AI Governance Implementation, AI Security, Central Technology, Procurement, and the AI Enablement Partners. You will be expected to understand both the code and the contract: how a tool integrates, how it behaves in production, what it costs, and how it is controlled. The portfolio will change quickly, so the role needs sound judgement and the ability to turn one-off approval work into a repeatable onboarding path. • New AI products reach a decision quickly through a repeatable risk-based path, and teams self-serve - engineers and business users consume approved tools and models through documented patterns rather than one-off requests to you., • The model gateway is dependable. Availability, latency, quotas, and cost are visible, and provider change is absorbed without breaking the teams that consume it., • Copilot capability lands deliberately, with licences, cohorts, and features released to a plan and the required controls evidenced first., • Spend is defensible. Token consumption and licence take‑up are attributed by team, agent, and provider, budgets are enforced where they need to be, and you act on what is underused or duplicated. At Janus Henderson Investors we're committed to an inclusive and supportive environment. We believe diversity improves results and we welcome applications from candidates from all backgrounds. Don't worry if you don't think you tick every box, we still want to hear from you! We understand everyone has different commitments and while we can't accommodate every flexible working request, we're happy to be asked about work flexibility and our hybrid working environment. If you need any reasonable accommodations during our recruitment process, please get in touch and let us know at recruiter@janushenderson.com. Annual Bonus Opportunity: Position may be eligible to receive an annual discretionary bonus award from the profit pool. The profit pool is funded based on Company profits. Individual bonuses are determined based on Company, department, team and individual performance. Benefits: Janus Henderson is committed to offering a comprehensive total rewards package to eligible employees that includes; competitive compensation, pension/retirement plans, and various health, wellbeing and lifestyle benefits. To learn more about our offerings please visit the Why Join Us section on the career page here (https://www.janushenderson.com/careers/). Janus Henderson Investors is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. All applications are subject to background checks. Janus Henderson (including its subsidiaries) will not maintain existing or sponsor new industry registrations or licenses where not supported by an employee's job functions (as determined by Janus Henderson at its sole discretion). You should be willing to adhere to the provisions of our Investment Advisory Code of Ethics related to personal securities activities and other disclosure and certification requirements, including past political contributions and political activities. Applicants' past political contributions or activity may impact applicants' eligibility for this position. You will be expected to understand the regulatory obligations of the firm, and abide by the regulated entity requirements and JHI policies applicable for your role. #J-18808-Ljbffr

At Open, we exist because we believe that insurance does not have to be seen as complicated or costly. We’re an AI-powered platform transforming insurance globally — making it more transparent, cost-effective, and customer friendly. Since launching in 2016, we’ve grown into a certified B Corporation, operating across ANZ and the UK, and building modern infrastructure that brings wonder into insurance. Engineering is how we earn the trust of our partners and customers, and where we turn Open’s strategy into shipped product. The UK is where our next chapter happens, and this role sits at the centre of it: you’ll be the senior engineer our UK partners deal with, turning their requirements into live integrations and keeping the platform they depend on running. You’ll work on Open Embedded, our flagship product. It lets brands offer car, home, travel, landlord and purchase-protection insurance inside their own customer journeys, so their customers can buy cover in the same place they buy the core product — configured no-code by our partners, and run end to end by us from quote through to claim. Core feature development and major platform uplifts are owned by our engineering team in Australia. Your remit is the UK end: working with partners on their requirements and integrations, configuring and extending the platform to meet them, and keeping it running in region. You’ll be hands-on in the same codebase — shipping changes yourself. The roadmap for the core product is set and built in AU and you’ll work closely with this team. Reporting to the Senior Engineering Manager, you’ll work with our partner-facing colleagues, Product, TechOps and Solution Architecture, and day to day with the engineering team in Australia. You’ll also help us build out UK engineering as we grow — starting with a mid-level full-stack engineer joining under you. This is a hands-on role. Most of your week is building and debugging: writing production code across the stack, working through integration problems with a partner’s engineers, and on incident calls for what runs in the UK. The lift is technical first, with real ownership of the team as it grows. You’ll be measured on driving up three things: • Own UK partner integrations end to end — from the first technical conversation through to a live, reliable embedded journey., • Get into partner requirements early: work out what they actually need, what our platform already does, and what genuinely needs building., • Turn that into work that ships — configuration and extension where our platform allows it, and a clear, well-argued case into the AU team where it doesn’t., • Cut the time from partner signature to live journey, quarter on quarter, using the best of modern software delivery and agentic development., • Give Product and partner-facing colleagues an early, unvarnished read on sequencing, risk and trade-offs — no surprise slips in front of a partner., • Help us hire well, then set direction for the engineers who join you and own their growth., • Work paired with agents across your own workflow — design, code, review, test, ops and integration debugging — and set the bar for how fast a small team can ship., • Use agents to take the repetitive weight out of partner support: triage, log analysis, first-line diagnosis and the reporting that goes with it., • With Product and the AU team, bring Open’s agentic capability for sales, claims and support to UK partners., • Build with the evaluations, guardrails and human-in-the-loop patterns that let us deploy GenAI safely in a regulated industry — anywhere a decision affects someone’s cover or their claim., • Hold a view on which problems an agent should own end to end versus assist on, and defend it with evidence from your own work rather than from a conference talk., • Be the UK’s technical line of defence for the platform: own availability, incident response and engineering health in region., • Join the on-call rotation. Debug production across a partner boundary you don’t control, then write the honest post-incident note., • Write code others can change without fear: tested where it counts, observable in production, and documented where the reasoning isn’t obvious., • Make sound design calls within your remit, and know which ones to elevate to the AU team or our solution architects rather than make alone., • Work hand-in-hand with TechOps, Solution Architecture and InfoSec on reliability, security and governance — including the UK and EU data-residency considerations that shape what we build and where it runs., • Feed what you learn from partners and incidents back into the AU roadmap, so the platform gets better rather than just patched around. This is a broad, hands-on senior engineering role in a lean, high-trust environment. It rewards people who are energised by ownership, breadth and agentic leverage, not those looking for a defined lane or a large organisation to sit inside. Specifically, it’s probably not the right fit if: • You want to own the core product roadmap. Feature development and major platform uplifts sit with our engineering team in Australia. Your remit is the UK end — partners, integrations, and running the platform in region., • You need greenfield to do your best work. Most of what you build extends a substantial existing platform. The craft here is in reading it well and changing it safely., • You want a fully specified ticket queue. Partner requirements arrive ambiguous and commercially loaded. Turning them into something buildable is the job, not a precursor to it., • You want to stop writing code. Most of your week is building, and we expect the role to stay that way as the team grows., • You want to stay in one layer of the stack. In a lean team you’ll be in the partner-facing journey, the services behind it, the data that proves it works, and occasionally the infrastructure it runs on., • You see AI as autocomplete. This role is for someone who has already restructured how they work around agents, not someone who plans to “start exploring” GenAI., • You want a purely advisory remit. This role owns delivery outcomes — what goes live for a partner, when, and at what quality — not just recommendations., • 5+ years building and operating production software — shipped, maintained and run by real users, not just delivered., • Full-stack range — strong on one side and genuinely competent on the other. You can build the customer journey and the service behind it., • Comfortable in someone else’s codebase — you can read a large existing system, find the right seam, and extend it safely., • Integration instinct — you’ve debugged failures across a boundary you don’t control: someone else’s API, someone else’s payload, someone else’s timeout. You reason about contracts, retries and idempotency by reflex., • Credible with a partner’s engineers — you can run a technical conversation with an external team and come out of it with a shared plan, not a longer list of questions., • Strong technical credibility in Python and modern AWS — you’ve owned services in production, including what happens when they break at 3am., • Modern frontend — TypeScript and a component framework, with real care for what the customer at the other end actually experiences., • Genuinely AI-native — you use AI agents in your own work every day, you’ve shipped something agentic to production, and you can say specifically what changed as a result., • End-to-end ownership — something you designed, built, shipped, ran on-call and then improved. You can talk credibly about all five parts., • Some experience leading engineers, formally or informally. You’ve set direction for other people’s work, given hard feedback, and helped someone level up., • Modern delivery practices — you’ve worked trunk-based with strong CI/CD and know why it matters culturally, not just technically., • Confident communicator — the design doc, the pull request description and the incident note get written without being chased, and non-technical colleagues come away knowing what to do., • Judgment about scope — you ship the small useful thing now and keep the big rewrite in your back pocket., • Bias for action — you spot issues early, fix root causes and keep pushing for simpler, faster, safer ways of working., • Exposure to the insurance, fintech, or regulated financial services sector., • Experience in a partner-facing, solutions or integration engineering role sitting alongside a core product team., • Experience building or consuming configurable or no-code product platforms (embedded insurance, white-label sales flows, partner-driven experiences)., • Having worked alongside — or led — engineers building AI or ML systems in production., • Comfort with cloud-native data warehousing (Snowflake or comparable) and the analytics or AI data layer., • Experience working in a distributed team across distant time zones, where the core engineering team is in another region., • Familiarity with AI safety practices — evaluations, red-teaming, guardrails, human-in-the-loop., • Degree in Computer Science, Software Engineering or a related field — or equivalent practical experience. This role is based in London, United Kingdom. We work in a hybrid model, with three days a week in the office. We’ve found this rhythm genuinely supports collaboration and the kind of fast, high-trust culture we’ve built. You’ll have flexibility on the other two days to work in a way that suits you. You’ll work closely with colleagues in Sydney, including the engineering team that owns the core platform. In practice that means writing decisions down properly and an early call once or twice a week — not a permanently shifted working day. You’ll need the right to work in the United Kingdom. Open is on a mission to make it easy for everyone to get the most from their insurance. Insurance is one of the world’s least digitally mature industries — for years it’s remained confusing, paper-based and heavily intermediated. We launched in 2016 to build a global, AI-powered platform that digitises the entire insurance process, making it transparent, less costly and more reliable. It’s an exciting time to join Open and be part of a tech scale-up. We provide our team with: • Highly competitive compensation, including share options — we believe in paying people what they’re worth and having everyone in our company share in our success., • High levels of autonomy and trust so you can do your best work., • Growth opportunities internally — as you grow, your role can too., • Flexible working — we are about impact, not time at your desk., • We encourage freedom and responsibility, including the ability to work from anywhere., • Paid company parental leave, supporting all parents as they balance career and family., • Personal development allowance — flexible annual benefit to support learning, wellbeing and personal growth. Open is an AI-powered platform transforming insurance globally — making it more transparent, cost-effective and customer friendly. Since launching in 2016, we’ve grown into a certified B Corporation, using business as a force for good. We’re proud to be an equal opportunity employer that celebrates diversity and are committed to providing an inclusive environment for all employees. If you need any adjustments to take part in our process fairly, at any stage, tell us and we’ll make them — you don’t need to explain why. Lastly, Open is a high-performing team that strives to achieve brilliant things every day and. We’re looking for people who are intellectually curious, courageous, innovative and passionate. Our culture is truly open: we’re continuously challenging each other to live our values — Always open, Play to win, Be a force for good, No excuses — and aren’t afraid to raise questions when we fall short. Most importantly, Open is for those that want to create change and have an impact. #J-18808-Ljbffr

Janus Henderson Investors is seeking a senior AI-enabled solutions professional to partner with portfolio managers, analysts, and traders. You will design and productionise bespoke AI workflows, owning architectures that are secure, scalable, and production-ready. You will collaborate with Quant research and investment teams to extend capabilities across the Nexus platform, ensure data lineage, and enable reusable components with AI Governance standards in mind. #J-18808-Ljbffr

Direct message the job poster from Fruition Group Location: London - 1x a month Salary: Up to £95,000 (D.O.E) + benefits Fruition Group working with a leading Insurtech unicorn on a mission to transform the insurance industry. Their products have already generated millions in revenue, and now they're investing heavily in new innovations that will shape the sector for years to come. This is an exciting opportunity for a motivated Senior Engineer who wants to grow in a high-performing, forward-thinking business. As a Senior Backend Engineer, you'll play a central role in building and scaling the systems that power their insurance platform. You'll focus on developing Python-based cloud microservices (FastAPI preferred), contributing to the architecture of resilient, high-performance systems, and collaborating with a cross-functional team to deliver features at pace. This is a hands-on engineering position with plenty of scope to influence technical direction, improve processes, and grow your expertise in distributed systems. • Design, develop, and maintain Python microservices (FastAPI) running in production., • Take ownership of features end-to-end, from design to deployment and monitoring., • Write high-quality, testable code with a focus on scalability and resilience., • Collaborate closely with engineers, product managers, and designers to deliver quickly., • Contribute to evolving architecture, tooling, and CI/CD practices., • Strong background in Python development (FastAPI, Flask, or Django)., • Good knowledge of microservices, APIs, and cloud-based infrastructure., • Experience with SQL and NoSQL databases, Git, and CI/CD workflows., • Solid engineering fundamentals - data structures, OOP, debugging, and testing., • Collaborative, curious, and eager to experiment with AI tools to improve productivity. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, or age. #J-18808-Ljbffr

Elsevier in City of London is seeking an experienced software engineer to design, build, and operate secure cloud infrastructure in production. You will work in a fast-paced agile squad delivering scalable services in AWS, with a focus on reliability, security, and robust monitoring. You will mentor colleagues, shape engineering standards, and collaborate across teams to raise the bar on CI/CD practices, code quality, and incident response. #J-18808-Ljbffr

At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting‑edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place. In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real‑world problems and ideating beside the best and the brightest, we invite you to join us! We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real‑time problem‑solving, stronger relationships, and the kind of precision that drives great outcomes. We are looking for a highly experienced, curious and driven software engineer to join a growing area of our business. Workload Identity presents a huge opportunity to change the way that communication between services is secured. It is also a challenging area which touches on many different foundational pieces of modern software development – networking, security, authorization, SDKs, cloud, Kubernetes and much more. We are looking for a high‑performing engineer with broad experience across security, networking, cloud and more, ideally with specific experience related to the area of Workload Identity. This role has a lot of scope for growth, and will require being adaptable as we move through the product development lifecycle and grow the team. • Design and develop software to solve Workload Identity challenges, from prototyping to production, and including client and server., • Develop, shape, lead, mentor, and collaborate with a close‑knit team., • Work with stakeholders (internal and external) to discuss ideas, present work that has been done, discuss priorities and options. In particular bring the technical point of view on what is possible and what is easier or harder., • Act as the team’s technical lead, splitting up work for others and guiding them through implementation., • Strong software development background including design, architecture, implementation, and testing., • Knowledge of software development in Golang., • Advanced knowledge/experience in some/all of networking, security, cloud, Kubernetes, encryption, PKI, JWT, SPIFFE., • Experience solving problems at enterprise scale, performance and quality standards., • Experience leading a software development team and mentoring others (with or without line management experience)., • Experience in product development and working with product managers and field teams., • Above all else we are looking for someone to bring their unique skills and experience. If this challenge appeals to you then please apply and tell us about your strengths, even if they don’t align with those listed here. We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position. #J-18808-Ljbffr

VIQU Limited is seeking a Python / Applied AI Engineer for a 3-month contract to support a customer project. The role is remote with a focus on building an AI chatbot using Python, LlamaIndex, and RAG pipelines, leveraging Azure/OpenAI and vector search for scalable results. Required: strong production Python experience, hands-on LlamaIndex, and proven delivery of production RAG/LLM applications. You will extend LlamaIndex agents, integrate data sources, and ensure robust, well-tested code. #J-18808-Ljbffr

Help shape the future of AI within a growing international SaaS business. We're looking for an experienced AI Platform Engineer to help build and evolve the Azure platform that powers our conversational AI products and wider AI strategy. You'll design, build and operate the cloud-native platform supporting Retrieval-Augmented Generation (RAG), LLM orchestration, vector search and production AI services, working closely with AI Engineering, DevOps and Security teams to deliver scalable, secure and reliable AI solutions. • Designing, building and operating AI platform infrastructure across Microsoft Azure., • Developing and optimising RAG pipelines, AI services and platform components., • Deploying infrastructure using Terraform and supporting containerised applications., • Building and maintaining CI/CD pipelines using GitHub and Azure DevOps., • Improving observability, monitoring and platform resilience., • Supporting vector search, embedding pipelines and knowledge ingestion., • Applying security and governance best practice across the AI platform., • Experience designing and supporting cloud platforms on Microsoft Azure., • Strong Terraform and Infrastructure-as-Code experience., • Experience with containerised applications and CI/CD pipelines., • Python for automation and scripting., • A good understanding of cloud-native architecture, APIs and microservices., • Experience with vector search technologies such as OpenSearch would be advantageous., • Experience with Microsoft Foundry or Azure AI Foundry is desirable but not essential. We're equally interested in experienced Azure Platform, Cloud or DevOps Engineers looking to build their expertise in enterprise AI. You'll be joining an international SaaS business making significant investment in AI, where you'll have the opportunity to influence the architecture of a growing AI platform and work with the latest Azure technologies. This is a hands-on role with genuine ownership, the opportunity to work on cutting-edge AI solutions and the chance to help shape the future of AI across multiple products. If you're ready to build the next generation of AI platforms, we'd love to hear from you. #J-18808-Ljbffr

6 Month Contract London (Hybrid) £500/day (Outside IR35) AI Native Systems Engineer needed for a 6 Month Rolling Contract based in London (Hybrid). Start ASAP ideally September 2026. Hybrid Working – 2-3 days/week remote (WFH) + 2-3 days/week working from the office in London. Paying up to £500/day (Outside IR35). Working with a global IT Consultancy supporting the client's transition towards delivery models utilising AI agents to streamline systems software + operations: • AI Native Systems Engineer is a technical leadership role designing AI-enabled, complex cloud-native + data-intensive systems that support Network Operations across RAN, data + automation domains., • Owning the system engineering discipline, translating business problems into robust technical designs + ensuring AI-assisted delivery remains governed, secure + outcome-focused., • Owning complex technical designs from early problem framing through to release + operational support., • A 'hands-on' role responsible for technical outcomes from concept to production., • Practical experience using AI-assisted engineering tools + coding agents to improve software delivery, testing + documentation., • Experience of AI-assisted engineering tools and how to validate, govern and improve AI-generated engineering artefacts., • Experience in designing complex software systems, distributed systems, data platforms + cloud-native services., • Architecture and design leadership: ability to set technical direction, resolve complex design trade-offs + guide software engineering teams., • Strong experience of algorithms, data structures, concurrency, operating systems, networking, APIs, integration patterns + performance trade-offs., • AWS Cloud computing platforms, including architecture patterns, security, observability + deployment., • Strong background in Software Architecture, systems engineering, distributed systems or complex cloud-native platform delivery., • Programming languages: Go, Rust, C/C++, Java, Python., • Desirables: AWS Solutions Architect Associate certification, Telecoms, AIOps, Network Ops, RAN/Core Analytics, Data Engineering, anomaly detection, RCA, lakehouse/agent orchestration patterns #J-18808-Ljbffr

Liquidnet Europe Limited is seeking a Senior Front Office Support Engineer to take a leading role in the Europe Front Office Support team. You will apply deep FIX, Linux, Windows Server, DevOps, databases, networking, and cloud skills to ensure platform reliability and performance. This hands-on leadership role involves complex troubleshooting, driving automation, overseeing migrations to cloud, and mentoring colleagues across global teams. A strong customer-service mindset is essential. #J-18808-Ljbffr

Central London (Hybrid, 2–3 days/week) | Up to £150,000 | Just out of seed Own secure, multi-tenant infrastructure end-to-end, from GitOps to compliance controls, in a hands‑on, fast‑paced role shaping one of the most ambitious applications of AI today. This is a rare shot to join right at the inflection point. Our client just closed their seed round and is now scaling fast: a team of just 15 building an AI operating system for a demanding, security‑conscious industry. A unified intelligence layer that connects evidence, reasoning, and action across a complex, high‑stakes lifecycle where getting it right matters enormously. The founding team includes operators who spent years deploying production AI inside some of the world’s most demanding enterprise environments. They know what it takes to make ambitious technology hold up under real pressure, and they’re now applying that standard to a domain that’s ripe for transformation. This is early enough that what you build becomes the foundation everything else stands on, and senior enough that you’ll be working alongside people who have done this at the highest level before. The systems being built run inside security‑conscious, compliance‑bound enterprises, where the infrastructure underneath has to be as trustworthy as the intelligence layered on top of it. The company now needs a Lead Platform Engineer to own that infrastructure end to end. They’re a team of 15 across the whole company so this isn’t a role where you sit in a queue of tickets. You’ll be the single, clear owner of how the company deploys, operates, secures, and scales, across its own platform and across isolated customer environments where the bar for trust is absolute. It’s a huge amount of responsibility and autonomy, which is exactly the appeal. • GitOps deployment backbone on Argo CD, so a small team can ship continuously and safely across many clusters, • Kubernetes on AWS (EKS) across the fleet of production environments, • Infrastructure‑as‑code in Terraform/OpenTofu and Terragrunt, the source of truth for everything the company runs, • Multi‑tenant, per‑customer isolation: standing up a fully isolated, compliant environment for each customer, with its own cluster and data plane, and deploying to it with confidence. This is the hardest and most important part of the job., • Security and compliance posture: secrets management, access controls, infrastructure hardening, and the audit‑grade controls customers will hold you to, • Observability: telemetry, metrics, logging, tracing, dashboards, and alerting that keep a complex distributed system legible, • Reliability, incident response, and the operational runbooks that protect customer trust, • CI/CD and release automation that keep the shipping cadence high, • Developer experience: making it fast and painless for engineers to deploy and debug The ideal candidate will have come from a FAANG, Anthropic, OpenAI, Palantir‑type organisation, or from an exceptional startup environment with a very high engineering culture, where they have personally owned and built the DevOps function while remaining hands on. This isn’t someone who managed a team that did the work. It’s someone who did the work themselves at a high standard, and knows what world class infrastructure looks like because they’ve built it before. • At least 7 years in DevOps, platform engineering, SRE, or infrastructure, • You’ve owned production systems rather than only contributing to them, including multi‑tenant or customer‑specific environments, and you understand the complexity that comes with them, • Deep fluency with Kubernetes, a major cloud (AWS preferred), GitOps, and infrastructure‑as‑code, plus the judgment to know when not to add another layer, • You come from somewhere that held a high bar, and you expect engineering excellence from yourself and the systems around you, • You’re hands‑on and have no interest in a purely architectural role. You explain complex tradeoffs simply and don’t over‑engineer., • You treat speed, security, cost, and reliability as constraints that all apply at once, and you’ve struck that balance before, • Bonus: you’ve operated under formal security or compliance regimes (SOC2, HIPAA, or similar) and know how to make controls a strength rather than a tax, • Ground floor of something huge: 15 people, large seed funding, and a mandate to build the infrastructure backbone from the ground up, • Real ownership: you’re not one of many DevOps hires. You’re the DevOps hire, • Central London, hybrid 2–3 days a week: flexibility without losing the energy of an in‑person team, • Up to £150,000, reflecting the seniority and trust this role carries This is a high‑intensity, high‑stakes role. The team moves quickly and gives direct feedback, the responsibility you carry will likely outrun your title, and you’ll go wherever the work needs you most, which sometimes means unglamorous tasks that matter more than anything else that week. The people who thrive here find that kind of ownership and growth exciting, and they weren’t looking for a nine‑to‑five. #J-18808-Ljbffr

The TP ICAP Group is a world leading provider of market infrastructure. Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions. Through our people and technology, we connect clients to superior liquidity and data solutions. The Group is home to a stable of premium brands. Collectively, TP ICAP is the largest interdealer broker in the world by revenue, the number one Energy & Commodities broker in the world, the world’s leading provider of OTC data, and an award winning all-to-all trading platform. Founded in London in 1866, the Group operates from more than 60 offices in 27 countries. We are 5,200 people strong. We work as one to achieve our vision of being the world’s most trusted, innovative, liquidity and data solutions specialist. Role Overview As a Back-End Engineer, you will design, develop, and maintain robust server-side applications and APIs that support high-volume, data-intensive environments. You will play a key role in shaping technical architecture, ensuring system reliability, and driving best practices in software engineering. This position requires strong problem-solving skills, deep technical expertise, and the ability to collaborate effectively with cross‑functional teams. • Working as a hands‑on engineer, working closely with Architects, Principal Engineers, and Trading SMEs to design, build, review, test, and deliver mission‑critical, high‑performance systems end‑to‑end., • Contribute to engineering deliverables throughout the full lifecycle, ensuring performance, scalability, resilience, and alignment with engineering best practices., • Drive innovation through POCs, technical evaluations, and continuous improvement initiatives., • Communicate progress proactively, highlighting risks and removing delivery impediments., • Hands‑on experience building and supporting enterprise level latency‑sensitive system, • Previous experience in front‑office trading applications preferred., • Background in designing and maintaining distributed, event‑driven, cloud‑native applications., • Strong understanding of Computer Science fundamentals, • SDLC experience across design, development, QA, deployment, and production support., • Ability to balance rapid delivery with architectural rigour and long‑term maintainability., • Relational database design and optimisation skills (MSSQL, MySQL)., • Experience building automated testing frameworks for complex distributed systems., • Ability to engage effectively with traders, quants, and other business stakeholders., • Domain experience in Credit or Fixed Income., • Expertise in modern .NET technologies and C# (Java or similar OO languages considered)., • Experience with CI/CD pipelines, containerisation (Docker), and orchestration (Kubernetes/EKS)., • Knowledge of distributed messaging and caching technologies (e.g., Solace, Redis, or similar)., • Understanding of FIX protocol and FIX message handling., • Hands‑on experience with AWS, microservices, and serverless patterns., • Understanding of TDD, BDD, or similar testing methodologies. Professional, 4 #LI-Hybrid #LI-ASO We know that the best innovation happens when diverse people with different perspectives and skills work together in an inclusive atmosphere. That's why we're building a culture where everyone plays a part in making people feel welcome, ready and willing to contribute. TP ICAP Accord - our Employee Network - is a central to this. As well as representing specific groups, TP ICAP Accord helps increase awareness, collaboration, shares best practice, and holds our firm to account for driving continuous cultural improvement. UK - 135 Bishopsgate - London Joining TP ICAP puts you at the heart of markets that matter. You’ll have the freedom to innovate and act on your initiative. We’ll train you and build your abilities in your specialist area, so that you can become an expert in your field. And all within a connected network that’s there to set you up for success. TP ICAP Group is a collection of premium brands each with a distinct, client‑focused offering. Underpinning and connecting these client‑facing brands is the financial security, operational strength and know-how we have as a Group. Connections are at the heart of what we do. We combine our people’s know-how with the latest technology to improve price discovery, trade execution and liquidity flow. Connections create strength. Through them, we help our clients to manage risk, realise investment strategies and expand the scope for growth. And connections act as a catalyst. Sparking richer solutions for our clients to break new ground, modernising markets for future performance, and creating dynamic careers for our people. Our capacity to connect builds trust, supports communities and gives us the power to anticipate and respond to change, whatever direction the world takes. It’s what makes TP ICAP a mainstay in the global markets, now and in the future. TP ICAP. We connect. #J-18808-Ljbffr