4 jobs found

AI Cloud Engineer London (Hybrid): Onsite 4:1 WFH Inside IR35 Contract We're seeking a forward-thinking engineer ready to sit at the absolute intersection of Cloud Infrastructure and Artificial Intelligence within this international banking group. This is a unique opportunity to join a small, dynamic team within a leading financial services institution as they evolve their digital engineering capabilities. You will play a pivotal role in building the secure, scalable foundations that underpin critical banking services, transitioning from traditional cloud functions into a high-impact AI enablement powerhouse. In this hands-on role, you will design and develop bespoke cloud and AI solutions, primarily focusing on Azure while expanding into Oracle Cloud and AWS. You will be the bridge between platforms and software engineering, applying rigorous discipline to deliver automated, sustainable patterns that meet complex regulatory and security standards. Your Key Responsibilities Design & Deliver: Architect and implement cloud and AI-ready solutions on Azure, building repeatable patterns and integration services that support next-generation workloads. Innovate with AI: Develop bespoke components using the OpenAI SDK and GPT models, ensuring all AI adoption is underpinned by robust governance and safety guardrails. Engineering Excellence: Drive automation through Infrastructure-as-Code (Bicep, Terraform) and CI/CD pipelines, while maintaining REST APIs and identity-aware solution patterns. Collaborative Impact: Work autonomously to manage ambiguity, collaborating across infrastructure and application teams to enhance platform stability and cost efficiency. Skills & Experience Required Azure Expertise: Deep hands-on experience with Azure engineering, PaaS services, and Infrastructure-as-Code (Bicep, ARM, or Terraform. Software Engineering: Strong proficiency in Python (essential) and PowerShell for building automation frameworks, REST APIs, and identity flows (OAuth2). Identity & Security: Solid understanding of Entra ID, IAM patterns, and implementing security controls within a regulated environment. AI Integration: Familiarity with Azure OpenAI, embeddings, and vector workflows, with the ability to operationalise responsible AI controls. Qualifications: You should hold an Azure certification (AZ-104 or higher) and a Bachelor's degree or equivalent professional experience. Desirables: Ideally, you will have experience with Azure API Management, AI orchestration frameworks, or knowledge of AI model lifecycle controls. This is more than just an infrastructure role; it is a chance to influence a global cloud strategy and gain exposure to multi-cloud environments during a major AI transformation. If you thrive in a results-driven environment and want to make a tangible impact on the future of FinTech, we want to hear from you. If you've held any of these roles or used these technologies/skills, this role could be a great fit: Cloud Engineer, AI Engineer, Azure Architect, Platform Engineer, DevOps Engineer, Python Developer, Azure OpenAI, Bicep, Terraform, Entra ID, Generative AI Integration, and FinTech Cloud Specialist. 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 acts as an Employment Business in relation to this vacancy.

AI Engineer Salary: up to £65,000 Location: UK based - Midlands preferred, but remote considered Type: Permanent I'm working with a growing fintech/scale-up that is building AI into a customer-facing product used within the affordability and financial services space. They already have an AI virtual assistant within the platform, but until now a lot of the specialist AI work has sat with an external partner. They've reached the point where they want to start bringing that capability in-house and are looking for someone who can help them build on what is already there. This is not a role for someone who wants to train their own LLM from scratch. It is more about taking existing LLMs and AI services, understanding how to use them properly, and building useful product features around them. The business is fairly open-minded on level. You might be a graduate with a year or two of experience, a Python developer who has started moving into AI, a Machine Learning Engineer, or a Data Scientist with stronger engineering habits. They are not expecting someone to have ten years of LLM experience, because realistically very few people do. What they do need is someone bright, practical and genuinely interested in building AI that works in the real world. You'll be working on the AI side of a product that helps users complete income and expenditure journeys. In simple terms, the customer can either fill in the form themselves, or interact with the virtual assistant, which helps capture and complete the information for them. That means the AI work has to fit into a wider software product. It needs to connect with the front end, work safely, be tested properly, and be built with security in mind from the start. The role will involve: Building and improving AI/LLM features using Python Creating quick proof of concepts to test ideas Taking the right ideas further into production Working with existing LLMs, APIs and AI services Thinking about guardrails, safety, hallucination risk and validation Building software in a secure way, particularly given the regulated nature of the product Supporting automated testing rather than treating testing as an afterthought Working in a DevOps environment where builds, releases and deployments are automated Understanding how the AI module fits into the wider product and customer journey The key things they are looking for are: Strong Python skills A good general understanding of LLMs Some exposure to GenAI, chatbots, NLP, RAG, prompt engineering or similar An interest in AI guardrails and responsible use of AI Good software engineering principles Awareness of security in modern development A willingness to test properly and automate where possible Some understanding of cloud platforms - Azure would be ideal, but AWS or GCP is fine The ability to learn quickly and work out the right way to use new technologies It would also be useful if you had experience with JavaScript, deep learning, LangChain, LlamaIndex, Azure OpenAI, OpenAI APIs or similar tools, but none of these are absolute requirements. This is probably best suited to someone who wants more ownership than they may get in a larger business. You'll be close to senior technology leadership, close to the product, and involved in shaping how AI is used rather than just being handed small pieces of work. The most important thing is mindset. They want someone who can build, test, learn quickly, and stay focused on why the feature is being built in the first place.

Job title: DevOps Engineer Client: FinTech Salary: £90,000-£115,000 + Bonus Location: London Skills: Linux, Python, Ansible, Terraform, CI/CD, Observability, Azure, AWS The role: My client is seeking an experienced DevOps Engineer to join their team. The role covers a broad scope of technologies and responsibilities: Linux Ansible Kubernetes Python Terraform CI/CD & Groovy AWS & Azure Desirable skills: Observability Kafka (very highly desirable) - ELK/Tempo/OpenTelemetry/Prometheus/Jaeger VMware Network Automation Windows/TeamCity Nexus/Artifactory Molecule/Junit/PyTest/Gremlin/Chaos-Test/LitmusChaos Redis Please apply ASAP for more information.

Avanti Recruitment is currently working with a leading, award-winning FinTech who are seeking a hands-on Engineering Manager to take responsibility for engineering leadership and delivery. The business provides cutting-edge financial technology solutions to global financial institutions and has been recognised for excellence and innovation across the sector. The Role You will be responsible for leading and mentoring the engineering team, ensuring delivery excellence, operational resilience, and platform growth. This role combines technical leadership with people management and requires someone confident in engineering delivery, incident management, platform operations, and client support. This role will require you in office 4 days per week and located in Surrey. You will line manage 2 Senior Engineers, as well as a 3rd Engineer and SRE. Key Responsibilities Daily interaction other departments, MD of Trading, Joint-CEOs as well as external clients Hands-on coding / documentation (70-80% of the time) Lead and mentor a high-performing engineering team Oversee agile delivery, backlog management, and release planning Ensure platform stability through monitoring, incident management, and post-mortems Implement robust security and compliance practices Manage vendor relationships and operational budgets Support client onboarding and resolve platform-related issues Experience You will have experience supervising, developing, and training engineering teams. Strong background in Java development (Spring, Spring Boot, Hibernate, REST) Knowledge of cloud platforms (AWS/GCP/Azure) and DevOps practices (CI/CD, Docker, Kubernetes, infrastructure-as-code) Familiarity with monitoring tools (Prometheus, Grafana, ELK, Splunk) Strong incident management skills and operational mindset Excellent communication skills for both internal leadership and client-facing situations Interview process: Initial interview with Head of Engineering Technical and practical test CTO / Chairman of Tech Committee meeting Final stage with CEO The salary on this position is up to £90,000. If you would like to be considered for this role then click Apply Now!