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Role/Job title: Artificial Intelligence Engineer! Mode of working – London- 3 days onsiteType of Employment- PermanentThe Role:As an Artificial Intelligence Engineer, you will bring deep expertise in full-stack development and AI system design to complex enterprise environments. This role demands hands-on experience in building and deploying AI/ML solutions, a strong grasp of software engineering principles, and proficiency with cloud platforms. You will play a key role in developing scalable, intelligent systems that drive innovation and deliver measurable business value.Your Responsibilities:Full Stack Development: Design, develop, and maintain end-to-end AI solutions, including front-end interfaces, back-end services, and data pipelines.AI System Development: Implement and optimize AI models, ensuring they are scalable, maintainable, and production-ready. Work on GenAI, Agentic AI, and classic ML solutions.Enterprise Integration: Integrate AI solutions with existing enterprise systems and ensure seamless operation within the client and #39;s technology stack.Collaboration: Work closely with cross-functional teams, including data scientists, software engineers, and business stakeholders, to identify opportunities and deliver robust AI solutions.Technical Leadership: Provide technical guidance and mentorship to junior engineers. Lead the implementation of best practices in AI/ML development and deployment.Innovation: Stay updated with the latest advancements in AI/ML technologies and contribute to the development of innovative solutions.Your ProfileEssential skills/knowledge/experience:Proficiency in Python and extensive experience with AI/ML/NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK).Experience with state-of-the-art LLMs (e.g., GPT series, Llama series, Mistral, Claude), including prompt engineering, fine-tuning, and evaluation.Hands-on experience with core GenAI frameworks (e.g., LangChain, LlamaIndex) and Agentic AI frameworks (e.g., AutoGen, CrewAI, LangGraph).Proficiency in MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes).Strong working knowledge and practical deployment experience on major cloud platforms (AWS, Azure, GCP), including their AI/ML services.Strong foundation in software engineering principles for building scalable, maintainable, and production-ready AI systems.Experience in designing and implementing enterprise-grade AI solutions, including RAG-based solutions with LLMs and vector databases (e.g., Pinecone, Weaviate, FAISS).Proven experience in full stack development and AI/ML system implementation within enterprise environments.Strong grasp of advanced techniques such as complex task decomposition for agents, reasoning engines, knowledge graphs, and autonomous agent design.Excellent communication and stakeholder management skills.Experience working on client proposals and leading technical presentations.Rewards and Benefits:TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources and discounts within the larger Tata network.We offer health and wellness initiatives and sports events; we are the proud sponsor of the London Marathon.

We’re Hiring: Cyber Security / Solutions Engineer (MSP) London | Hybrid working We’re partnering with a fast-growing Managed IT Services Provider in the creative industry, supporting 5,000+ users across 100+ businesses. Built on great people, strong culture, and a relentless focus on quality, this is a brilliant opportunity to join a company that genuinely invests in its engineers. They’re now looking for a Cyber Security–focused Solutions Engineer to help secure client environments and act as a trusted security advisor. What you’ll be doing: Designing and implementing security solutions (firewalls, endpoint, cloud security) Leading incident response and remediation activities Conducting vulnerability assessments & penetration testing Implementing security monitoring, reporting & best practices Advising clients on Cyber Essentials, CE+, GDPR, ISO 27001 & NIST Working closely with clients and mentoring junior engineers What they’re looking for: Strong hands-on cyber security experience within an MSP or similar environment Firewall experience (Palo Alto, Fortinet) EDR / endpoint protection (Microsoft Defender, Sophos, Bitdefender) Network & cloud security knowledge (Azure, AWS, VPNs, VLANs, DNS) Incident response & vulnerability management experience Cyber Essentials / CE+ knowledge or certification Confident communicator, comfortable in client-facing scenarios What’s on offer: Hybrid & flexible working (including WFH Fridays) 22 days holiday + bank holidays (rising to 25) Ongoing training, certifications & career development Funded socials, staff awards & referral bonuses Inclusive, people-first culture The client is looking to fill this opportunity immediately, so please apply ASAP or feel free to drop me an email with any questions to owen @ serlimited . com. SER-IN

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Java Engineer • Salary to £45k + Company Options Scheme, • Hybrid working between your home, their offices (London Vauxhall) & client sites. NB: Please only apply if you are a UK National and able to achieve SC (ideally DV) clearance i.e. you have at least 5 years residency in the UK with no more than a 3 month break outside the UK. This company is a Workflow & AI Orchestration Specialist. They're on a mission to modernise how public sector organisations manage casework, derive insight from data and deliver citizen services. They’re growing fast and looking for bright, dynamic people to help build their business. Role They’re looking for a Java Engineer to join their implementation team. You’ll work across Camunda BPMN/DMN process automation, API integration, and microservice orchestration — helping their public-sector clients build secure, scalable, and resilient digital services. You’ll collaborate with solution architects, business analysts, and designers to translate workflows into elegant, maintainable code. You’ll play a key part in defining technical standards, optimising runtime performance, and mentoring less- experienced engineers in workflow-centric delivery. This is an ideal role for someone who enjoys solving complex process problems through clean code, automation, and modern engineering practices. The role involves visiting client sites; the company will cover travel expenses. Frequency is uncertain but candidates should be comfortable with that being 2-3 days per week. Client sites could be anywhere but will most likely be in & around London. Responsibilities Design, develop, and deploy Camunda-based process and decision automation solutions Implement and integrate Java-based microservices, APIs, and connectors within orchestration flows Translate BPMN and DMN models into executable workflows and reusable components Collaborate closely with analysts and service designers to refine and iterate business processes Develop and maintain automated test suites, CI/CD pipelines, and containerised deployments Optimise Camunda engine performance and monitor workflow metrics for production environments Participate in code reviews, peer testing, and technical design discussions Contribute to their internal best-practice frameworks and automation accelerators Essential Eligible (have resided in the UK for the past 5 years) and prepared to go through UK SC Security Clearance Experience in Java software engineering and object-oriented design Spring (Boot) experience Experience with REST APIs, and microservice architectures Knowledge of Docker and Kubernetes for containerisation and orchestration Proficiency in Git, CI/CD pipelines, and automated testing frameworks Understanding of event-driven design and message brokers (e.g. Kafka, RabbitMQ) Good knowledge of security, authentication, and integration patterns for enterprise systems Experience working in agile teams within digital transformation or automation programmes A willingness to learn BPMN and Camunda tooling Some exposure to process automation or microservice orchestration Desirable Experience with Camunda 8 (Zeebe) clusters and Operate/Tasklist components Experience implementing solutions using Camunda 7 or 8 (BPMN/DMN) Familiarity with Camunda connectors, external task workers, and scripting extensions Exposure to cloud platforms (AWS, Azure, GCP) and infrastructure-as-code (Terraform, Helm) Experience integrating process automation with case-management or service-orchestration platforms Understanding of agentic AI capabilities and how they can complement workflow automation Experience mentoring developers or contributing to open-source Camunda extensions Already holding UK security clearance (SC, DV, eDV) Other Stuff NB: Please only apply if you are a UK National and able to achieve SC or DV clearance. i.e. you have at least 5 years residency in the UK with no more than a 3 month break outside the UK. NB: for non-UK Citizens; we cannot accept applications from anyone requiring sponsorship (now or in the future) for UK permanent employment status. If you are utilising a work visa this must allow you to work in the UK unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Java software engineer object-oriented design OOD Camunda BPMN DMN Spring Boot REST API microservice architecture Docker Kubernetes containerisation orchestration Git CI/CD pipelines automated testing frameworks Kafka RabbitMQ Security authentication integration patterns enterprise systems agile digital transformation automation Java developer Camunda developer Zeebe Cloud AWS Azure GCP Terraform Helm process automation agentic AI artificial intelligence security clearance SC DV eDV London home based hybrid junior jnr

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Platform Engineer £550 - £650 per day Outside IR35 6 - months Remote Company A well-established investment and asset management organisation is looking for a Platform Engineer to undertake a large-scale data transformation, building out a new cloud-native data platform to support decision-making across the business. The firm is part-way through the development of a greenfield cloud data warehouse on Azure and Snowflake. The project has strong executive sponsorship and is being delivered in partnership with a specialist data architect. As the work progresses into its next phase, the business is hiring a Platform Engineer to join the build effort, with a particular focus on infrastructure, automation and pipeline orchestration. This Platform Engineer will sit within the central finance and planning function and work closely with senior stakeholders, including programme sponsors and business leads. Key responsibilities - Platform Engineer * Support the build and enhancement of a cloud-based data platform using Snowflake on Azure, working within an established technical framework. * Develop infrastructure components and manage deployment through infrastructure-as-code practices. * Collaborate with internal stakeholders to ensure the data platform design supports evolving business needs in a scalable and maintainable way. * Implement and maintain data pipelines, validation logic, and quality assurance processes. * Contribute to platform documentation and technical standards. * There is potential for future responsibility in mentoring or overseeing junior team members. Required experience * Hands-on experience working with Snowflake, including schema development and data pipeline integration. * Familiarity with Azure services, including resource provisioning and identity setup. * Experience using Terraform for infrastructure deployment (ideally with cloud data services). * Strong working knowledge of Python, SQL, Git, and general data engineering best practices. Additional desirable skills * Familiarity with CI/CD tooling, particularly Azure DevOps (or equivalents). * Exposure to workflow automation platforms. * Prior experience on early-stage or greenfield data platform projects. * Team leadership or mentoring exposure. This is an opportunity to work on a strategically important programme with significant scope for technical input and ownership. The role offers exposure to cloud architecture, data engineering, and automation within a small but growing team. If you're interested, please send your CV

A great energy client based in London is looking for a Full Stack Python Engineer. Fantastic benefits, bonus, training, events, cycling scheme, pension, free breakfast and much more! If you’re looking for a genuinely exceptional tech environment in London, this is it. The team is highly collaborative, technically strong, and incredibly supportive — a group of talented professionals who genuinely enjoy working together. • Key Responsibilities, • Design, develop, and maintain scalable and reliable software solutions, ensuring alignment with Principals and Architects., • You must have at least 4 years Python experience, • Strong expertise in Python web development frameworks (e.g., Django) and JavaScript/TypeScript, with experience working in cloud environments such as AWS, Azure, or GCP., • Skilled in applying software technical design principles to build scalable, secure, and maintainable solutions within modern cloud-based architectures., • Bachelor’s or Master’s degree in Computer Science, Engineering or equivalent experience., • Experience with CI/CD tools and practices., • Strong problem-solving & communication skills., • Adaptability/willingness to learn (e.g., Agile)., • Experience with modern frameworks and libraries (e.g., React, Node.js, Terraform, Celery)., • Experience with database schema design and query optimisation., • Collaborate with cross-functional teams, including Product, QA, and DevOps, to deliver high-quality features., • Lead code reviews and technical discussions, and contribute to architectural decisions., • Lead complex coding tasks; ensure code quality., • Identify and resolve performance and scalability issues., • Write clean, maintainable, and well-documented code., • Mentor and support junior and mid-level engineers., • Stay current with emerging technologies and industry trends., • Estimate work; lead delivery of features from the roadmap., • Solve ambiguous problems with scalable solutions.

Senior Java Engineer - PermanentSalary: 55k-65kWorking Arrangement: Fully RemoteTech Stack: Java, Spring Boot and Cloud Platforms(AWS, Azure and GCP)Desirable - Python and JavaScript I am currently working with a leading software software consultancy working with the government for a Senior Java Engineer. This role involves mentoring junior engineers, collaborating with cross-functional teams, and driving the adoption of best practices in software development. Essential • Proven experience in full-stack software development, including design, development, testing, and deployment., • Significant hands on experience with Java, Spring Boot and Microservices., • Strong understanding of Agile and DevOps practices, with a focus on continuous integration and delivery., • Some proficiency in one or more programming languages (e.g., Python, Java, JavaScript) and experience with software architecture patterns., • Experience with cloud platforms (e.g., AWS, Azure, GCP) and infrastructure as code., • Familiarity with CI/CD pipelines, automated testing, and modern software development practices., • Knowledge of technologies such as Mircroservices, containerisation (Docker, Kubernetes), or serverless architecture., • Previous experience in a senior engineering role, guiding teams to successful delivery., • Proficiency in multiple programming languages., • Experience in central government advantageous., • Experience in a consulting environment. Responsibilities • Design, develop, and maintain complex software solutions, ensuring they are robust, secure, tested and scalable., • Contribute to software architecture decisions, ensuring alignment with project and business goals., • Mentor and support junior engineers, helping to develop their skills and promote best practices., • Collaborate with cross-functional teams, including product management, UX/UI, DevOps, and QA, to ensure software meets business requirements., • Implement and optimise CI/CD pipelines to enhance development efficiency and software quality., • Conduct code reviews, providing constructive feedback to enhance team performance and code quality., • Troubleshoot and resolve technical issues, ensuring software operates smoothly and efficiently., • Stay current with industry trends and emerging technologies, recommending and integrating them where beneficial., • Drive improvements in coding standards, testing, and documentation within the team., • Engage in early-stage project discussions, providing technical insights and recommendations., • Ensure that development processes are followed, and contribute to process optimisation initiatives., • Communicate complex technical concepts effectively to non-technical stakeholders. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.

Are you looking to benefit from a new career in Programming? Skills shortages in the IT sector are driving the need for qualified, entry-level career seekers and career changers. We help place graduates from this programme in top UK companies and organisations needing to employ entry-level Programming staff that can hit the ground running with up-to-date skills gained from this programme. The best part is you will not need any previous experience as fully accredited training, which includes tutor support and mentoring, provides you with the skills, practical knowledge and qualifications for you to secure a professional job and career in coding. You will also have the reassurance of a job guarantee (£25K-£40K) upon completion. Whether you are working full-time, part-time or are unemployed, this package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks or a few months (step 1 to 4 below). Your job and career goals are completed in 4 easy steps. Step 1 -HTML and CSS Online Training (*12 weeks) The first step is completing a selection of professional and industry-recognised courses. We have carefully selected these courses to give you the most out of both your learning and employment journey. * HTML Essentials (6 weeks) * CSS Essentials (6 weeks) The training is delivered via multimedia rich video tutorials, presentations and quizzes through a portal that you study online from anywhere you choose. You will also be assigned an expert tutor and a support mentor to help you throughout your training. Once the HTML & CSS courses are complete, you will be ready to move forward. Step 2 -Online Training (*12 weeks) The second step includes a selection of more advanced courses to get you up to speed. * Learn the Command Line (1.5 weeks) * Learn Git & GitHub (1.5 weeks) * Learn JavaScript (1.5 weeks) * Learn Python 3 (1.5 weeks) JavaScript forms the foundation of almost everything you see on the Internet, so it will be essential! Python is highly versatile. You can use it for both small and complex tasks, and it is used across many different industries. Step 3 - Build a Portfolio Website Project (1 week) Additional Courses * AWS Certified Cloud Practitioner * Microsoft Certified: Azure Administrator Associate Step 4 - Junior Programmer placement (£25K - £40k) We work with you to secure your first role as a Junior Programmer, with a starting salary of anywhere between £25K - £40k. While working as a Junior Programmer, we will release your second batch of training which is specifically designed to qualify you to move into the programming field. Programmer Role Once you have completed all the mandatory training in step four and have gained two plus years experience in the coding industry, you will be ready to move into higher paying programming roles. Our recruitment support team specialises in the Web and programming space and roles at this level have an average starting salary of £45K. We have been helping career changers and new career seekers gain new careers since 2009 and we are a CompTIA Gold Partner, accredited by the BCS (Chartered Institute of IT/ British Computer Society) to ensure we provide the highest levels of training. In addition, we are also ELCAS approved to help members of the Armed Forces, Service Leavers and Veterans gain rewarding careers in IT and Cybersecurity. Job Guarantee Due to the success of this programme and the skills shortage of entry-level coding staff, we can guarantee you will secure a job upon completion of your study programme or we will refund you 100% of your course fees back. This is subject to our terms of learning/ terms of business. Passionate about starting a career in coding? Apply now and one of our friendly advisors will be in touch. Keywords: Website, Web Developer, Business Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer.

IT Services company requires an experienced Project Engineer / 3rd Line Support Engineer to work with an established financial services organisation based in the City of London. This is a senior support role with a strong project delivery element, supporting a sizeable user base of circa 2,000 users in a professional, high-expectation environment. This position would suit someone who combines deep technical capability with strong presence and communication skills. You’ll be comfortable engaging with senior stakeholders across the business, while also acting as a technical mentor and escalation point for the 2nd Line team. The Role • Acting as the 3rd Line escalation point for complex technical issues., • Delivering and contributing to cloud and infrastructure projects, with real ownership and visibility., • Supporting and developing identity management and SSO platforms., • Working closely with senior managers and non-technical stakeholders, providing clear advice and reassurance., • Supporting and mentoring 2nd Line engineers, helping raise capability and service standards across the team., • Proven experience in a 3rd Line Support / Senior Support Engineer role., • Strong cloud expertise, particularly AWS., • Excellent skills within MDM technologies such as Intune or JAMF, • Solid knowledge of Identity Management and Single Sign-On solutions., • Hands-on experience with Azure and Active Directory, • Experience with JumpCloud and/or Okta highly desirable, as would exposure to Terraform or Infrastructure as Code principles (IaC)., • Excellent communication and stakeholder management skills., • Clear gravitas and confidence when dealing with senior management., • Ability to translate complex technical issues into plain English., • A collaborative mindset, with a genuine interest in supporting and developing junior team members., • Full-time, hybrid working (3 days office / 2 days WFH)., • City of London location., • A senior, visible role with a mix of support and project work.

Junior Data Engineer - Research & Technology Role Overview This role supports the development and maintenance of a scalable data platform underpinning private equity investment activity across EMEA. Working closely with investment teams, you will build and optimise data pipelines, automate workflows, and transform fragmented market and real estate data into structured intelligence that informs underwriting, portfolio strategy, and capital allocation decisions. Role Responsibilities * Build and maintain scalable data pipelines, managing large data sets from internal and external sources. * Develop and optimise ETL processes using AWS, SQL, and modern cloud technologies. * Manage API integrations and automate data ingestion and transformation workflows. * Improve infrastructure scalability, performance, and data delivery processes. * Develop analytical tools and dashboards (e.g., Tableau) to generate actionable business insights. * Implement data quality checks and governance processes to ensure accuracy and reliability. * Collaborate with investment, asset management, and finance teams to translate business requirements into technical solutions. Role Requirements * 1-3 years' experience in data engineering or a similar analytical role. * Strong proficiency in SQL and Python; experience with AWS and data warehousing concepts (e.g., Snowflake). * Experience with BI tools such as Tableau advantageous. * Strong analytical and structured problem-solving skills. * High attention to detail with the ability to manage multiple priorities. * Commercial awareness and interest in investment and real estate markets. Shortlisted candidates will be required to complete a 24-hour coding assessment as part of the selection process.

Location: Hybrid – UKContract Type: PermanentHours: Full timeSalary: CompetitiveCOMPANY OVERVIEWMOBKOI is a fast-growing mobile company headquartered in London, with offices across central Europe, US and Asia. We use the latest in mobile ad technology to help premium brands effectively reach and engage with their clients' audiences.Bringing to market the most selective site list of premium global and local publishers enabling brands to be selective of where their ads are going to run and thus ensuring brand safety. MOBKOI prides itself on offering full transparency, bespoke creative builds and local market coordination. We are part of The Brandtech Group, formerly known as You & Mr Jones, working with partners developing the best technology across the globe.ROLE OVERVIEWAs a Backend Software Engineer (Junior–Mid Level) – Programmatic, you will contribute to the development and evolution of MOBKOI’s programmatic advertising platform. You will work closely with experienced engineers on backend systems that power real-time bidding (RTB), campaign delivery, and large-scale integrations with SSPs and DSPs.This role is well suited to engineers early in their career who want to deepen their expertise in distributed systems, low-latency services, and cloud-based infrastructure, while gaining exposure to the programmatic advertising ecosystem. You will be supported through mentorship, code reviews, and progressive ownership of backend components.RESPONSIBILITIES• Contribute to the development and improvement of MOBKOI’s programmatic backend systems, including components of the real-time bidding (RTB) pipeline.• Support the design and implementation of scalable, reliable, and high-performance services handling large volumes of traffic.• Work alongside senior engineers to help evolve system architecture while balancing performance, cost efficiency, and reliability.• Assist in monitoring system performance and contribute to initiatives that optimise infrastructure usage and operational cost.• Participate in diagnosing and resolving issues related to distributed systems, including latency, availability, and scaling challenges.• Implement backend components following best practices in fault tolerance, load balancing, and resilient design.• Develop an understanding of the programmatic advertising ecosystem, including SSPs, DSPs, bidding flows, and ad exchanges.• Contribute to discussions around technology selection, tooling, and build-vs-buy decisions.• Collaborate with product, data, and business teams to ensure technical solutions align with business needs.• Actively participate in code reviews, technical discussions, and continuous improvement initiatives.KEY SKILLS & COMPETENCIES• Experience in backend software development, gained through a first professional role, internship, or apprenticeship.• Solid engineering fundamentals with Go (or another backend language with a strong willingness to learn Go).• Interest in or exposure to distributed systems and high-traffic environments.• Understanding of core concepts around scalability, reliability, and high availability.• Familiarity with cloud platforms such as AWS or GCP.• Awareness of cost-efficient engineering practices and infrastructure optimisation.• Curiosity about the programmatic advertising landscape and how technical systems support business outcomes.• Strong collaboration skills and the ability to communicate clearly within a cross-functional team.BEHAVIOURSThis role operates in a fast-moving, high-standards environment and requires someone who is motivated to learn, take ownership, and deliver quality work. The role holder is expected to manage their time effectively, adapt to change, and contribute positively to team and business outcomes.The role offers autonomy and is suited to someone who is comfortable balancing independent work with cross-functional collaboration.What we’re looking for:• Motivation to contribute to the growth and success of the business• A proactive, adaptable mindset with the ability to learn quickly• Strong ownership and accountability for outcomes• Clear and professional communication with a range of stakeholdersYou may also have experience in the following: Backend Software Engineer, Junior Backend Engineer, Mid-Level Backend Developer, Go Developer (Golang Engineer), Software Engineer – Backend, Programmatic Engineer, AdTech Engineer, RTB Engineer (Real-Time Bidding Engineer), Distributed Systems Engineer, Cloud Backend Engineer (AWS / GCP), Platform Engineer – AdTech, API Developer (Backend), High-Performance Systems Engineer, Programmatic Advertising Developer, Software Engineer – AdTechREF-226 991

A great energy client based in London is looking for a Full Stack Python Engineer. Fantastic benefits, bonus, training, events, cycling scheme, pension, free breakfast and much more! If you’re looking for a genuinely exceptional tech environment in London, this is it. The team is highly collaborative, technically strong, and incredibly supportive — a group of talented professionals who genuinely enjoy working together. • Key Responsibilities, • Design, develop, and maintain scalable and reliable software solutions, ensuring alignment with Principals and Architects., • You must have at least 4 years Python experience, • Strong expertise in Python web development frameworks (e.g., Django) and JavaScript/TypeScript, with experience working in cloud environments such as AWS, Azure, or GCP., • Skilled in applying software technical design principles to build scalable, secure, and maintainable solutions within modern cloud-based architectures., • Bachelor’s or Master’s degree in Computer Science, Engineering or equivalent experience., • Experience with CI/CD tools and practices., • Strong problem-solving & communication skills., • Adaptability/willingness to learn (e.g., Agile)., • Experience with modern frameworks and libraries (e.g., React, Node.js, Terraform, Celery)., • Experience with database schema design and query optimisation., • Collaborate with cross-functional teams, including Product, QA, and DevOps, to deliver high-quality features., • Lead code reviews and technical discussions, and contribute to architectural decisions., • Lead complex coding tasks; ensure code quality., • Identify and resolve performance and scalability issues., • Write clean, maintainable, and well-documented code., • Mentor and support junior and mid-level engineers., • Stay current with emerging technologies and industry trends., • Estimate work; lead delivery of features from the roadmap., • Solve ambiguous problems with scalable solutions.

Senior Data EngineerCentral London (2-3 days a week)Salary £90,000 plus benefits.This is an excellent opportunity to take ownership of a modern AWS data platform within a growing financial organisation. You will play a key role in shaping their data environment, strengthening engineering standards, and ensuring their data is ready for analytics and AI initiatives.The Company They are a digital-focused financial services organisation operating across commercial banking, fintech enablement, and lending. Their technology supports a wide range of products, and they continue to invest heavily in modern data capabilities. With strong momentum and a commitment to advancing their UK data function, they offer a place where you can make meaningful technical impact.The Role Design and maintain end to end ELT and ETL pipelines within a large scale AWS environment. Build well structured data models and curated layers to support reporting and analytics. Improve data quality, observability, governance, and overall platform reliability. Lead architectural decisions and support a review of existing workflows and pipelines. Contribute to ongoing transformation and migration projects. Provide technical guidance and mentor a junior engineer.Your Skills and Experience Strong commercial experience working with AWS in production environments. Proficiency in Python and SQL for data processing and orchestration. Experience with Airflow for workflow management. Knowledge of cloud data warehousing, ideally Redshift. Experience with infrastructure as code and CI/CD tooling such as Terraform and GitHub. Ability to build reliable, governed pipelines with strong data quality and lineage practices. * Experience in regulated settings or fast moving scale ups is beneficial.What They Offer Salary of £90,000. Hybrid working with 2-3 days in the office. A comprehensive benefits package including health cover, pension, insurance, enhanced leave, and flexible bank holiday options. Opportunities to influence architectural direction within a modern data and AI function. * Clear progression as the data team continues to grow.How to Apply If this London based Senior Data Engineer role sounds like the right next step, apply now.

Senior DevOps Engineer (Salesforce)3-month contract (possible extension)£700-£800 per day (Inside IR35)Full time - 1 day per week in either London / Cardiff / Glasgow officeMUST HAVE ACTIVE SC CLEARANCEOverviewA Governing Body is seeking a highly skilled Senior DevOps Engineer (Salesforce) to join its Digital, Data and Security Services function. This role sits within a multidisciplinary team responsible for delivering secure, scalable, and automated DevOps capabilities across multiple Salesforce workstreams.The successful candidate will be responsible for designing, implementing, and optimising CI/CD pipelines, ensuring high-quality, compliant, and resilient delivery of Salesforce services. This position requires an experienced DevOps professional with deep technical expertise and the ability to influence delivery practices across a complex environment.Purpose of the RoleThe Senior DevOps Engineer will take the lead in integrating and delivering software components through a complete DevOps toolchain. You will architect, build, and operate automated deployment environments for Salesforce, primarily using Azure DevOps.Key aspects of the role include: • Designing and maintaining CI/CD pipelines for Salesforce, • Integrating automated testing and code-quality tools (ADO Test Plans, Salesforce Code Checker, BrowserStack, Playwright, SonarCloud), • Managing work tracking through ADO Boards and Confluence, • Ensuring DevOps practices align with cloud engineering and governance standards, • Coaching and mentoring junior DevOps team members, • Design, maintain, and optimise Salesforce CI/CD pipelines using Azure DevOps., • Integrate quality and security tools such as Salesforce Code Checker and SonarCloud., • Work closely with Salesforce developers, architects, cloud engineering teams, and security specialists., • Enhance DevOps tooling frameworks and automation across Salesforce and related platforms., • Contribute to DevOps communities of practice., • Proven experience implementing and maintaining Salesforce CI/CD pipelines using Azure DevOps (ADO)., • Experience integrating automated testing and code-quality tools (Code Checker, SonarCloud, BrowserStack, Playwright)., • Strong understanding of availability, capacity management, modern development standards, and secure solution design., • Ability to troubleshoot Salesforce deployment issues and lead DevOps process optimisation., • Experience designing medium-complexity systems and supporting integration testing across connected platforms., • Experience supporting Salesforce delivery in public-sector or enterprise-scale environments. Morgan Hunt is a multi-award-winning recruitment Business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to temporary vacancies. Morgan Hunt is an equal opportunities employer, job suitability are assessed on merit in accordance with their skills, qualifications and abilities to perform the relevant duties required in a particular role.

IT Services company requires an experienced 3rd Line Support Engineer to work with an established financial services organisation based in the City of London. This is a senior support role with a strong project delivery element, supporting a sizeable user base of circa 2,000 users in a professional, high-expectation environment. This position would suit someone who combines deep technical capability with strong presence and communication skills. You’ll be comfortable engaging with senior stakeholders across the business, while also acting as a technical mentor and escalation point for the 2nd Line team. The Role • Acting as the 3rd Line escalation point for complex technical issues., • Delivering and contributing to cloud and infrastructure projects, with real ownership and visibility., • Supporting and developing identity management and SSO platforms., • Working closely with senior managers and non-technical stakeholders, providing clear advice and reassurance., • Supporting and mentoring 2nd Line engineers, helping raise capability and service standards across the team., • Proven experience in a 3rd Line Support / Senior Support Engineer role., • Strong cloud expertise, particularly AWS., • Excellent skills within MDM technologies such as Intune or JAMF, • Solid knowledge of Identity Management and Single Sign-On solutions., • Hands-on experience with Azure and Active Directory, • Experience with JumpCloud and/or Okta highly desirable, as would exposure to Terraform or Infrastructure as Code principles (IaC)., • Excellent communication and stakeholder management skills., • Clear gravitas and confidence when dealing with senior management., • Ability to translate complex technical issues into plain English., • A collaborative mindset, with a genuine interest in supporting and developing junior team members., • Full-time, hybrid working (3 days office / 2 days WFH)., • City of London location., • A senior, visible role with a mix of support and project work.

6 month contract – Hybrid – SC Cleared – London – Inside IR35 Please note - SC Clearance is REQUIRED for this role Job Description:Our client is seeking a senior Data Engineer to join our Data Engineering team and play a pivotal role in shaping the strategic cloud-first data platform.As a member of the team, you will play a key role in designing and delivering robust, scalable data solutions that support our clients core responsibilities around monetary policy, financial stability, and regulatory supervision. With contribution to technical design decisions, mentor engineers, and collaborate across teams to ensure our data infrastructure continues to evolve and meet future demands. Role Responsibilitiesb • SC Clearance - required• Lead the design, development, and deployment of scalable, secure, and cost-effective distributed data solutions [MA2.1]using Azure services (e.g., Azure Databricks, Azure Data Lake Storage, Azure Data Factory).• Architect and implement advanced data pipelines using Databricks, Delta Lake, Python and Spark, ensuring performance, reliability, and maintainability across cloud and on-prem environments.• Champion data quality, governance, and observability, ensuring data is accurate, timely, and fit-for-purpose for analytics, BI, and operational use cases.• Drive the modernization of legacy systems, leading the migration of data infrastructure to Azure with minimal disruption and long-term scalability.• Act as a technical authority on Azure-native data engineering, guiding best practices and setting standards across the team.• Collaborate with architects, analysts, and stake holders to align data engineering efforts with strategic business goals and enterprise data strategy.• Own the end-to-end delivery of complex data solutions, from requirements gathering to production deployment and support.• Contribute to the development of reusable frameworks, templates, and patterns to accelerate delivery and ensure consistency across projects.• Mentor and coach junior and mid-level engineers, fostering a culture of continuous learning, innovation, and technical excellence. Experience needed: • Extensive experience with Azure services including Azure Databricks, Azure Data Lake Storage, and Azure Data Factory.• Advanced proficiency in SQL, Python, and Spark (PySpark), with a strong focus on performance optimization and distributed processing.• Proven experience in CI/CD practices using industry-standard tools (e.g., GitHub Actions, Azure DevOps).• Strong understanding of data architecture principles and cloud-native design patterns.• Demonstrated ability to lead technical delivery, mentor engineering teams and collaborate with stakeholders to ensure alignment between data solutions and business strategy.• Proficiency in Linux/Unix environments and shell scripting.• Deep understanding of source control, testing strategies, and agile development practices.• Self-motivated with a strategic mindset and a passion for driving innovation in data engineering. Apply now to the Security Cleared Business Analyst and speak with VIQU IT in confidence. Or reach out to Louise Davies on via the VIQU IT website. Do you know someone great? We’ll thank you with up to £1,000 if your referral is successful (terms apply). For more exciting roles and opportunities like this, please follow us on LinkedIn @VIQU IT Recruitment.

Are you an experienced Messaging Engineer who enjoyssupporting the delivery, maintenance and enhancement of platforms and services in a demanding messaging environment? We have a fantastic opportunity for an experienced Messaging Engineer to join a global professional services organisation for a 12 month initial fixed term contract. In this role you willplay a key part in ensuring the stability, performance and future development of our clients messaging infrastructure as well as providing expert technical support and guidance across the business. The role will involve: • Evaluating new messaging systems and technologies to save time, increase service levels and reduce costs, • Contributing to assigned projects to support delivery of new messaging services to the business, • Providing support to users on software platforms supported by the Messaging team, • Resolving incidents relating to messaging services in accordance with the Messaging Service Level Agreement and escalating where appropriate, • Being a technical escalation contact for enquiries and issues related to messaging services from users, more junior team members and Service Desk and desk-side support teams, • Performing preventative maintenance, • Proven background working as a Messaging Engineer within the Professional Services or Legal sector., • In-depth experience of Windows Server and Active Directory, • Strong experience with Microsoft Exchange 2019/SE, Exchange Online and Intune, • Knowledge of email archiving products, such as Enterprise Vault (desirable), • Familiarity with cloud-based email filtering services such as Microsoft Exchange Online Protection, • Ability to write PowerShell scripts to automate system administration tasks is desirable, • 35 hours per week on a shift pattern covering 7:30am - 6:00pm with flexibility in accordance with the needs of the business If you're an experienced Messaging Engineer open to a new exciting role then we would love to hear from you. Hit apply and one of our experienced team will be in touch to discuss in more detail. Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive workplace where all employees feel valued and respected. We encourage applications from candidates of all backgrounds.

AI Engineer (Junior Level) Location: Fully Remote (UK working hours)Salary: £40,000 - £50,000Contract: Permanent, Full-time About the Company We're partnering with a fast-growing AI-first biotech startup that has recently secured significant funding and is entering an exciting scale-up phase. The company operates at the intersection of artificial intelligence, biotechnology, and health, using advanced AI models to analyse large-scale biological and medical datasets. With a globally distributed team, they are building next-generation AI systems designed to transform how health and biological data is understood and applied. This is a fully remote role, with collaboration aligned to UK working hours. The Role We're looking for a Junior AI Engineer to join a growing technical team and contribute to the development of AI-driven platforms in a biotech and health-focused environment. This role is hands-on and technical, offering exposure to large biological datasets, AI model development, and modern machine learning workflows, including work with LLMs and data-centric AI systems. You'll work closely with senior engineers, data scientists, and domain experts across biology and healthcare. Key Responsibilities • Build, clean, and maintain AI-ready datasets, working with large-scale biological and medical data, • Support the development and optimisation of machine learning and LLM-based systems, • Assist in designing and improving data pipelines for structured and unstructured biomedical data, • Contribute to experimentation, testing, and validation of AI models, • Degree in a relevant STEM subject (e.g. Biomedical Science, Bioinformatics, Computer Science, Data Science, Engineering, Medicine, Health Sciences, or a closely related field)., • Strong interest in AI applied to biotech, healthcare, or medical data, • Solid programming experience (e.g. Python), • Exposure to LLMs, NLP, or generative AI, • Familiarity with machine learning concepts and data processing, • Experience working with large datasets (academic, research, or commercial), • Experience with biological, clinical, or health-related datasets, • Knowledge of ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn), • Join a well-funded startup at an early growth stage, • Work on cutting-edge AI-driven biotech products, • Fully remote role with a global team To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.

Senior Data Engineer – Databricks Location:Remote UK or office based (opportunity to work remotely or be office based depending on your preference) Salary: £50k - £64k plus benefits Type: Full-Time ARCA Resourcing is proud to be partnered with an innovative leading retailer that’s transforming how data powers decision-making. We’re seeking a Senior Data Engineer to take a technical leadership role within their modern Enterprise Data Platform. If you thrive in shaping scalable, innovative data solutions and mentoring talented engineers, this is your opportunity to make a real impact. About the Role As a Senior Data Engineer, you will drive the design and implementation of robust, high-performance data solutions. You will work hands on with Databricks to deliver industrialised pipelines and data science model feeds. You will also mentor junior engineers, champion best practices, and ensure technical excellence across all deliveries. What You’ll Do • Lead the technical delivery of data initiatives in a collaborative squad environment., • Translate functional designs into scalable, reusable technical solutions., • Build and test high-performance ELT pipelines in Databricks., • Mentor junior engineers and promote engineering best practices., • Ensure high quality, reliable, and well-documented deliverables through peer reviews., • 4 years expertise in Databricks, Spark, and cloud data architecture, • Coding skills in Python and SQL., • Experience with orchestration tools like Azure Data Factory and Databricks Workflows., • Knowledge of lakehouse architectures, modern data engineering, and data warehousing principles., • Understanding of data modelling, ELT/ETL pipelines, and testing frameworks., • Familiarity with CI/CD, version control, and DevOps practices., • Strong problem-solving, debugging, and technical leadership skills. Why Join This is your chance to work at the forefront of data innovation in a dynamic retail environment, shaping solutions that deliver real business impact. You’ll have the autonomy to drive technical excellence, while also developing others in a supportive and high-performing team.

Location: London, Watford or Bristol (hybrid working options available) We’re seeking a Azure Platform Engineer with experience in cloud, infrastructure or DevOps roles. This position is ideal for junior engineer who want to build deep skills in Azure, Infrastructure-as-Code, automation and platform reliability while learning from experienced engineers. How the Team works You'll be working as part of a Platform Team build shared platform services. We love AI and want to build agentically. Agile/Kanban/SRE/DevSecOps is how we roll. Key Duties • Support provisioning, configuration and operation of Azure resources., • Contribute to secure, scalable and well-architected Azure environments., • Apply best practices in identity, networking, monitoring and governance., • Build cloud infrastructure using Terraform or Bicep., • Use GitHub Copilot and AI agents to accelerate IaC, scripting and troubleshooting., • Help develop automation reducing manual workload and increasing reliability., • Assist with managing cloud environments across non-production and production., • Support monitoring, alerting and observability., • Contribute to incident investigations and platform stability improvements., • Work with CI/CD pipelines and automated infrastructure delivery., • Participate in CI/CD and deployment through ADO and GitHub., • Learn cloud delivery patterns, change control and release automation. Who You Are Essential • Experience in cloud, infrastructure or DevOps., • Understanding of Azure fundamentals., • Basic scripting experience (PowerShell, Bash or Python)., • Familiarity with GitHub Copilot and AI agents., • Diagnostic and troubleshooting ability., • Strong teamwork, communication and problem-solving. Desirable / Willing to Learn • Experience with Terraform or Bicep., • Azure networking fundamentals., • CI/CD concepts and deployment automation., • Cloud governance, FinOps or security practices., • Containerisation basics (Docker, AKS). Qualifications • Degree in a technical, engineering or scientific discipline, or equivalent experience., • Azure certifications (such as AZ-900) are beneficial but not required.

This is an exciting opportunity for a Senior Platform Engineer to join a leading organisation within the financial services industry. The role is based in London and focuses on delivering and maintaining technology solutions to support the business's operations. Client Details Our client is a well-established organisation within the financial services industry, known for its commitment to technological innovation. Operating as a medium-sized company, they provide a professional and focused environment for their team members. Description • Develop, maintain, and optimise platform infrastructure to ensure scalability and performance., • Collaborate with cross-functional teams to implement technology solutions that meet business needs., • Monitor and manage system performance, ensuring reliability and uptime., • Conduct troubleshooting and resolve platform issues promptly and effectively., • Implement best practices for system security and compliance within the financial services industry., • Contribute to the design and deployment of cloud-based solutions in alignment with company goals., • Provide technical guidance and mentorship to junior team members. A successful Senior Platform Engineer should have: • Strong technical expertise in platform engineering and cloud-based solutions., • Proficiency in implementing and maintaining secure IT infrastructures., • Experience working within the financial services industry or similar regulated environments., • Ability to troubleshoot and resolve complex technical issues efficiently., • Knowledge of industry best practices in system performance and security., • Competitive salary ranging from £70,000 to £75,000 per annum., • Permanent position based in the heart of London., • Opportunities to work on innovative projects within the financial services sector., • A supportive and professional work environment.

Onsite IT Support Engineer / 2nd Line Desktop Support Technician A fantastic opportunity for a skilled IT Support professional with strong Microsoft 365, Azure and endpoint management experience to join a fast-growing managed services environment delivering high-quality technical support and cloud computing solutions. If you’ve also worked in the following roles, we’d also like to hear from you: 2nd Line Support Engineer, Technical Support Engineer, IT Helpdesk Analyst, Desktop Support Engineer, Application Support Analyst, IT Technician, Deskside Support Technician, Second Line Support, Service Desk Analyst, IT Support Technician, 2nd Line IT Engineer. SALARY: £32,000 per annum + up to £4,000 Bonus + Benefits (see below) LOCATION:Fully Onsite at London client sites (zones 1-6) JOB TYPE: Full-Time, Permanent ONLINE TEST: To be considered you must complete an online test to see how you compare with other applicants. Reach the pass mark and you’ll be invited on to the next stage of the interview process. JOB OVERVIEW We have a fantastic new job opportunity for an Onsite IT Support Engineer / 2nd Line Desktop Support Technician to join a dynamic managed services environment supporting London-based clients. As an Onsite IT Support Engineer / 2nd Line Desktop Support Technician you will act as a key escalation point, resolving complex IT support issues across Microsoft Windows, Microsoft 365, Azure cloud services and endpoint management platforms. The Onsite IT Support Engineer / 2nd Line Desktop Support Technician will deliver outstanding customer service, manage incidents and service requests in line with ITIL processes, and mentor junior team members while ensuring SLAs and security standards are consistently achieved. APPLY TODAY Ready to make your next career move? Apply Today for our Recruitment Team to review. DUTIES Your duties as the Onsite IT Support Engineer / 2nd Line Desktop Support Technician include: • Second Line Technical Support: Log, classify and resolve incidents and service requests via telephone, email and live chat, • Incident Escalation: Investigate complex desktop support and end-user computing issues escalated from 1st Line, • Microsoft Environment Support: Troubleshoot Windows 10/11, Microsoft Office (Outlook, Teams, Word, Excel, PowerPoint), Entra ID, Active Directory, Intune and Autopilot, • Cloud & Infrastructure Support: Assist with Azure administration, DNS, DHCP and infrastructure monitoring toolsets, • New Starter Provisioning: Support onboarding processes and configure user accounts, devices and access, • Vendor Liaison: Escalate application issues to third-party software vendors where required, • SLA Management: Manage P1 incidents and priority tickets in line with agreed service level agreements, • Call Queue Ownership: Maintain accurate ticket documentation and provide regular client updates, • VIP Support: Deliver high-priority assistance to senior stakeholders, • Team Development: Mentor and support 1st Line engineers to enhance technical capability, • Field Support Cover: Provide onsite support cover when required CANDIDATE REQUIREMENTS ESSENTIAL • Previous experience in a 2nd Line IT Support, Service Desk Analyst or Technical Support Engineer role, • Proven experience of troubleshooting Microsoft Windows 10/11 and Microsoft 365 applications, • Experience with Entra ID, Active Directory, Intune and Autopilot administration, • Experience with DNS and DHCP configuration and troubleshooting, • Experience working within an ITIL framework, including Incident Management and Service Request Fulfilment, • Proven experience of working to SLAs within a structured service desk environment, • Excellent communication and customer service skills with clear written and spoken English, • Ability to prioritise workload, manage competing demands and maintain high-quality ticket documentation, • Proactive, solutions-focused approach with strong problem-solving skills, • Experience within a Managed Service Provider (MSP) environment, • ITI v3 or v4 Foundation certification, • Experience supporting Apple Mac devices, • Knowledge of cyber security best practice and security incident processes, • Experience in an ISO27001 aligned environment, • Experience with Windows Server administration and networking / WiFi troubleshooting BENEFITS • Performance based bonus (up to £4,000), • Industry renowned training and certifications (sponsored), • Personal development time with access to Pluralsight training platform, • Discretionary company sick pay, • 23 days’ holiday plus Bank Holidays, increasing with length of service, • Day off on your birthday APPLY TODAY… By submitting your job application to us you are hereby giving us your express consent to submit your details to our Client for this purpose. 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AI Research Analyst (R&D) AI, Automation & Emerging Technology UK | Junior–Mid Level | 2+ Years Experience About the Role We’re building a disciplined R&D capability to explore emerging technologies, validate new approaches, and feed high-quality innovation into our Product and Engineering teams. As our AI Research Analyst (R&D), you’ll generate the technical evidence that supports strategic decisions. You’ll research AI and automation technologies, evaluate vendors and tools, build (basic) timeboxed proofs of concept in Python and/or C#, and produce clear, decision-ready outputs. This is not a BAU delivery role. It’s structured, evidence-led innovation. You’ll report functionally to the Head of R&D, with day-to-day coaching from the Senior R&D Engineer (Who is an accomplished Software Engineer) Salary: £40 - £50K Basic + Bonus + Benefits package Location: North East office, but remote across the UK is totally fine. What You’ll Bring Essential • 2+ years in a technical analyst, research, or solutions-focused role, • Some Hands-on coding ability in Python and/or C# (You'll learn software engineering from the senior R&D engineer, who'll learn R&D from you!), • Practical understanding of AI/ML landscape (LLMs, APIs, strengths & limitations), • Strong analytical thinking and structured evaluation skills, • Excellent written communication — clear, concise, decision-ready outputs, • Self-directed working style with confident stakeholder engagement, • Familiarity with workflow orchestration / BPMN fundamentals Desirable • Experience building AI-integrated applications, • API and cloud platform exposure, • Vendor/technology selection experience, • Knowledge of process automation or orchestration platforms Why Join • Direct exposure to cutting-edge AI and automation, • Real influence over technology decisions, • Clear progression into Senior R&D or specialist AI roles, • Close collaboration with Architecture, Engineering, and Product We’re looking for curiosity and rigour in equal measure — someone excited by emerging AI, but disciplined enough to separate signal from noise. Apply now!

Security Operations Specialist Location – London (minimum 3 days in office per week) Salary - £100-120k + 20-30% Bonus + Great Benefits Currently working with a UK Investment Management firm who are in the process of building out their Cyber Defence capability and looking to bring in a cloud-based Security Operations Specialist, with a blend of both Analysis and Engineering experience. You will be dealing with the escalated alerts from a 3rd party MSSP, investigating and responding to the most complex incidents whilst building out IR Playbooks and Processes and developing the internal Threat Hunting capability. You will act as a mentor to the more junior Analysts within the team and play a pivotal role in shaping how the SOC capability is built. This is an incredible opportunity for an experienced Senior SOC Analyst / Engineer to join a growing yet established firm at a crucial point as they completely build out their Information and Cyber Security capability. Whilst they have the fundamentals in place, this is a completely greenfield SOC buildout, where you will work alongside the Head of SecOps to shape their SOC monitoring, detection and response function. Key Responsibilities: • Act as a lead and technical escalation point on the most complex incidents and investigations., • Proactively look for opportunities to automate, fine-tune and streamline the detection engineering and general SOC capabilities., • Utilise various internal and external Threat Intelligence feeds to execute proactive threat hunting campaigns., • Mentor and train junior team members through complex incident response investigations. Key Requirements: • Significant experience working in a SOC environment (5+ Years), responding to and containing the most high-profile, escalated incidents., • Comprehensive knowledge of the Microsoft Security stack – Defender, Sentinel, E5 Security Suite, etc, • Proven experience building detection rules, fine-tuning and streamlining SOC tooling and capabilities., • Experience working in cloud-native SOC environments – Azure and/or Azure. If you’re an experienced Security Operations Specialist, looking to shape how one of the most innovative Investment Management firms build out their cyber defence capability and leave a lasting impact on one of the most reputable organisations whilst working alongside a team of genuine Cyber Security SMEs, click the to apply or get in touch directly –

🤖 Junior Machine Learning Engineer (0–2 years) | Competitive Salary | London | Hybrid Working 🚀 Are you a Junior Machine Learning Engineer looking to kick-start your career working on real-world ML systems used at scale? We’re looking for a curious and motivated Junior Machine Learning Engineer to join a collaborative, data-driven technology team, working in a flexible hybrid setup based in London. This role is ideal for someone early in their career who’s excited about applied machine learning, enjoys building solutions that move into production, and wants to learn from experienced engineers in a fast-moving environment. You’ll be part of a modern engineering function working on large-scale data and ML products, contributing to model development, data pipelines, and deployment workflows that power business-critical platforms. 🔍 In this role, you’ll: 🤖 Build, train, and evaluate machine learning models using Python 📊 Work with large, complex datasets to support ML-driven products and insights 🧠 Assist with feature engineering, experimentation, and model optimisation ☁️ Contribute to data and ML pipelines in cloud-based environments 🗄 Work with structured and semi-structured data using SQL 🚀 Support the deployment and monitoring of models in production environments 🤝 Collaborate closely with data engineers, software engineers, and product teams 📐 Help maintain best practices around testing, documentation, and reproducibility 🌟 What’s in it for you? 📈 Career Development – Hands-on experience, mentorship from senior engineers, and clear progression paths 💡 Learning Culture – A team that encourages curiosity, experimentation, and continuous improvement 🏢 Hybrid Working – A flexible mix of remote work and time in the London office 🌍 Real-World Impact – Work on ML systems used by customers at scale 💰 Competitive Package – Salary and benefits based on experience, including bonus, pension, and generous annual leave ✅ What we’re looking for: 🎓 A degree in Computer Science, Machine Learning, Data Science, Mathematics, Engineering, or a related field 💼 0–2 years of experience in machine learning, AI, or software/data engineering (including internships, placements, or academic projects) 🐍 Strong Python skills for ML and data processing 🗄 Experience working with SQL and structured datasets ☁️ Familiarity with cloud platforms and modern data stacks 🧠 A solid understanding of machine learning fundamentals and data workflows 💬 Strong communication skills and a collaborative mindset ⭐ Big bonus points for: ⚙️ Exposure to ML pipelines, MLOps, or production ML systems 📦 Experience with tools such as Databricks, Snowflake, or similar platforms 🔍 Familiarity with version control, testing practices, or CI/CD workflows If you’re excited about building machine learning solutions, learning fast, and growing your career in a supportive, high-impact environment, we’d love to hear from you. 👉 Apply now and take the next step in your ML engineering career.

Senior Platform Engineer Salary: £200-250k Package Location: London (Hybrid working – 3 days in office per week) I’m currently working with a Tech-Driven Hedge Fund undergoing a major technology transformation who are looking for a Platform Engineer with a breadth of experience across cloud, software and security engineering. Reporting into the Head of Engineering, this is a pivotal role in building out a brand new Cloud Platform for the entire organization, and an infrastructure capable of servicing and housing all departments ranging from Quants to Cyber to Risk. This is genuinely an incredible opportunity to join a small, close-knit team of incredibly skilled Engineers and build a platform and infrastructure which will shape how an entire organization can operate; for one of the most innovative Investment Management firms worldwide. Responsibilities • Design and build the platform and infrastructure on which the organization can operate at speed and scale., • Advise and provide vision on the overall architecture of the platform and its capabilities., • Work closely with wider departments to understand their requirements and how this platform can enable them., • Act as a mentor and escalation point to the more junior members of the team. Requirements • A software engineering background with the ability to build and develop robust and secure cloud infrastructures., • Thorough knowledge of AWS and building platforms subject to financial regulatory requirements., • In-depth cyber security experience and building platforms/infrastructure with security built in at code level., • Expert level knowledge of Terraform, Python and open-source databases (Postgres & Clickhouse a bonus), • Experience working in fast-paced, top tier financial institutions. If you’re an experienced Platform Engineer looking to join a Hedge Fund undergoing one of the most exciting Transformation journeys where you’ll be afforded the trust and freedom to build and develop one of the most innovative cloud Platforms; then click apply or get in touch directly –

GenAI Engineer About Klarus Klarus is a global, senior-led AI consultancy delivering technology-enabled transformation and measurable business impact. We partner with boards and executive teams navigating complex operating model change, digital transformation, and responsible AI adoption. Our focus is not advisory theory but execution with accountability. We combine deep sector expertise with hands-on transformation leadership and agentic AI to shape value cases, redesign operating models, strengthen governance, and embed scalable digital and AI capability. The result is reduced risk, accelerated delivery and technology investment that translates into durable enterprise outcomes. If you are ambitious, growth-oriented and excited by the opportunity to help build a next-generation consulting firm while delivering meaningful transformation for clients, Klarus offers a genuinely compelling career trajectory. Role Summary As a GenAI Engineer, you will design, build and scale the next generation of agentic AI capabilities across our consulting and client environments. This is a hands-on technical role that blends systems architecture, agent design, applied LLM engineering, and enabling others through frameworks, education and tooling. You will work closely with our AI strategy, data, and delivery teams to embed GenAI safely and effectively across multiple use cases. Key Responsibilities 1. Environment & Architecture Set-Up • Design, configure and manage secure GenAI development environments (Azure, AWS, GCP, or hybrid)., • Design and implement agent orchestration architectures using frameworks such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or custom event-driven systems., • Integrate with enterprise systems, APIs, data stores and operational tooling., • Establish governance frameworks covering PII detection and minimisation, retention and deletion policies for embeddings/state, audit logging, and alignment to client compliance requirements (e.g., GDPR, SOC2/ISO27001 where applicable). 2. Bespoke AI Agent Creation • Build custom domain-specific agents using OpenAI, Claude, Gemini or other LLM providers., • Design multi-step agent workflows, toolchains and action schemas for complex reasoning and execution., • Design and optimise short-term and long-term memory systems including vector-based retrieval memory, conversation state management, and external persistence layers., • Prototype, test and productionise agents for internal teams and external client projects. 3. Framework & Standards Development • Create reusable frameworks, patterns and templates for agent development (e.g., prompt libraries, tool adapters, orchestration patterns, evaluation frameworks)., • Establish coding standards, model evaluation criteria and agent lifecycle guidelines., • Build self-service components that enable consultants and engineers to develop agents safely and consistently., • Document architecture, best practices and technical decision-making. 4. Education, Enablement & Training • Deliver training sessions to consultants, engineers and client teams on building and using GenAI agents., • Produce clear guides, playbooks and learning modules for non-technical users., • Mentor junior engineers and act as a subject-matter expert on LLM technologies and agentic patterns. 5. Experimentation, Evaluation & Improvement • Run experiments across model types, prompting approaches, RAG strategies and agent coordination methods., • Evaluate models for performance, cost, safety and reliability., • Contribute to continuous improvement of internal AI tooling, pipelines and architecture. Skills & Experience Technical • Strong hands-on experience delivering production LLM systems using major providers (OpenAI, Anthropic, Google), • Proficiency in Python or JavaScript/TypeScript for agent logic, tool integration and orchestration., • Experience with vector databases (Pinecone, Chroma, Weaviate, Redis, etc.)., • Solid understanding of RAG pipelines, embeddings, prompt engineering and LLM evaluation., • Familiarity with containerisation, CI/CD, cloud security, and API integration., • Experience deploying GenAI applications into production environments (e.g. latency optimization, caching strategies, rate limiting, concurrency management, streaming responses, and cost controls). Consulting / Delivery • Ability to translate business requirements into technical AI solutions., • Strong communication skills, especially in explaining GenAI concepts to non-technical audiences., • Experience working in client-facing or cross-functional project teams.

Senior Full Stack Engineer (Go / Python) - London, Hybrid Exciting opportunity to build the platform allowing AI to operate safely and at scale within the financial sector, unlocking high-level financial guidance to millions. We are looking for a Senior Full Stack Engineer with a backend focus to join our high-calibre team and help scale the mission-critical systems powering our platform. The Role You will work in a small team and own critical backend services that handle sensitive financial data. You will work across a diverse stack, including Python and Go, to build robust APIs and architect systems that scale gracefully as our user base grows. What You’ll Do • Engineering: Design and maintain backend services while integrating with banking systems and third-party providers., • Scalability: Identify bottlenecks and implement caching strategies (Redis, CDN) and resilience patterns., • DevOps: Containerize services using Docker and Kubernetes, contributing to CI/CD pipelines and production observability., • Security: Build systems with security as a first-class concern, ensuring compliance with fintech regulatory requirements., • Mentorship: Guide junior and mid-level engineers through technical coaching and code reviews. What We’re Looking For • 7+ years of professional software engineering experience., • Technical Depth: Strong proficiency in at least two of the following: Go, Python, TypeScript, or Java., • Infrastructure: Hands-on experience with Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure)., • Mindset: A clear communicator who moves with urgency and has a passion for building high-quality, distributed systems. Why Join Us? You will join an elite team with a track record of scaling companies to major exits. We operate with a principles-driven culture that values speed and ownership. We offer a comprehensive compensation package including equity and robust benefits.

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

About Us: We are one of the world’s leading commodities trading houses, leveraging sophisticated technology to trade a broad range of energy, metals, and agricultural commodities globally. Our success is driven by cutting-edge analytics, high-frequency data processing, and a commitment to innovation. We are now looking for a Senior Python Engineer to join our dynamic team in London and drive our next wave of technological advancements. Role Overview: As a Senior Python Engineer, you will be at the heart of our technology platform, building robust systems that enhance our trading strategies, risk management, and data analysis. You will collaborate closely with quants, data scientists, and traders, providing Python-based solutions that directly impact the profitability of the business. This is an exciting opportunity to work in a fast-paced, high-performance environment where you can push the boundaries of technology in financial markets. Key Responsibilities: • Design, develop, and maintain highly efficient Python-based applications for commodities trading, risk management, and real-time data analysis., • Build scalable, high-performance data pipelines to process large datasets from multiple sources, including real-time market data and fundamental data., • Implement robust APIs and microservices to integrate trading systems, analytics platforms, and external data providers., • Optimize performance and scalability of existing systems, ensuring low-latency trade execution and real-time risk monitoring., • Collaborate with quants and traders to prototype and implement algorithms that enhance trading strategies and position management., • Lead code reviews, enforce best practices, and mentor junior developers to foster a culture of excellence., • Work in a collaborative, agile team environment to rapidly develop and iterate on new features and tools. Qualifications: • 5+ years of professional experience in Python development, with a focus on building performant, scalable systems., • Deep understanding of core Python, including its strengths in data manipulation, asynchronous programming, and performance optimization., • Experience with distributed systems, parallel computing, and high-performance processing of large datasets., • Strong experience in data pipelines, working with tools such as Pandas, NumPy, and SQL/NoSQL databases., • Proven experience working in fast-paced environments, ideally within trading, financial services, or high-frequency environments., • Proficiency in developing RESTful APIs, microservices, and working with cloud-based architectures (AWS, GCP, or similar)., • Expertise in testing frameworks, CI/CD, and containerization technologies such as Docker or Kubernetes., • Experience in managing and deploying services in Linux/Unix environments., • Strong analytical and problem-solving skills, with a keen attention to detail and an ability to thrive under pressure., • Fluency in English is required. Preferred Skills: • Experience in commodities markets or broader financial markets., • Knowledge of quantitative modeling, risk management, or algorithmic trading., • Familiarity with big data technologies like Kafka, Hadoop, Spark, or similar. Why Work With Us? • Impactful Work: Directly influence the profitability of the business by building technology that drives trading decisions., • Innovative Culture: Be part of a culture that embraces new ideas, cutting-edge tools, and continuous improvement., • Competitive Compensation: Industry-leading salary, significant performance-based bonuses, and comprehensive benefits package., • Professional Development: Access to world-class learning and development resources, with opportunities for career growth., • Work-Life Balance: Flexible working arrangements, generous holiday allowances, and a strong focus on well-being.

Role Overview We are seeking a Google Cloud Engineering Team Lead to join the Accenture Google Business Group (AGBG) within Accenture Technology in the UK, with a strong focus on UK public sector clients. In this role, you will lead small engineering teams to design, build and operate secure, scalable Google Cloud solutions that enable Google-scale services for our clients. Security Clearance Requirement Any offer of employment is subject to satisfactory BPSS and SC security clearance. This requires a minimum of 5 years continuous UK address history at the point of application, typically including no periods of 30 consecutive days or more spent outside of the UK. About Accenture Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all these services. With a strong culture of innovation and industry expertise, we help clients solve their most complex challenges. We believe in inclusion and diversity and supporting the whole person. Our core values include Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Our Team Together we engineer and build the infrastructure, tools, access and telemetry for systems that enable orchestration of Google-scale services. Join us and help build what matters. Key Responsibilities • Lead a small team of Google Cloud platform or data engineers to deliver Google Cloud solutions, • Design, deploy and operate secure Google Cloud solutions for client environments and internal reference implementations, • Provide technical leadership, guidance and mentorship to engineers, ensuring high-quality delivery, • Contribute to and lead the design of Google Cloud components within larger programmes, • At least one Google Cloud Professional-level certification, • Strong expertise across Google Cloud services such as Compute Engine, App Engine, Cloud Storage and GKE, • Hands-on experience implementing foundational cloud platforms including landing zones, IAM, VPC and networking, or data platforms such as pipelines, storage and databases, • Experience with Infrastructure as Code (e.g. Terraform), CI/CD pipelines and scripting languages such as Bash or Python, • Hands-on experience producing technical documentation including architecture diagrams, design specifications and operational runbooks, • Strong understanding of cloud security best practices including IAM, encryption and firewalling, • Hands-on experience with networking across cloud and on-premise systems, • Proven experience leading small technical teams and mentoring junior engineers, • Experience in site reliability engineering or production operations, including incident troubleshooting, • Excellent problem-solving skills with examples of technical innovation or delivery improvement, • Competitive basic salary, • 25 days’ annual leave, • Private medical insurance, • Three additional days’ leave per year for charitable work

Do you want to build a predictive AI platform that surfaces opportunities before clients even know they exist? Have you led end-to-end delivery of LLM/RAG/agentic systems in production? Ready to become the technical owner of an intelligence engine at an early-stage startup? A high-growth AI/FinTech startup is building a predictive intelligence platform for financial institutions. Their system connects external market events, client risks and revenue opportunities through real-time agentic AI. Backed by senior ex-consulting and enterprise technology leaders, they’ve already built a functioning MVP and are now hiring their first in-house Lead AI Engineer to take ownership of the core intelligence layer. You’ll work directly with the CTO, shaping the architecture, roadmap and long-term AI strategy. This role suits a builder who wants ownership, deep technical scope and the chance to define the product from the ground up. The Lead AI Engineer will architect and productionise advanced LLM/RAG systems, design agentic workflows, own evaluations and guardrails, and integrate AI modules into a scalable enterprise-grade platform. You’ll collaborate with domain experts from corporate and investment banking, helping turn market foresight into actionable intelligence. Key responsibilities • Design and deploy RAG pipelines, agentic workflows and LLM-based intelligence modules, • Build Python-based AI components, APIs and microservices, • Own evaluation frameworks, observability, guardrails and model governance, • Integrate AI systems into production environments and enterprise workflows, • Work closely with the CTO and guide junior/external engineers, • Translate financial-services use cases into practical AI features Key details • Working model: Hybrid (3 days/week, Central London), • Tech: Python, LLMs, RAG, agentic systems, vector stores, cloud, • Visa: Cannot sponsor Interested? Please apply below.

About Medly AI We're the fastest growing EdTech startup in London, on a mission to change education forever. We're living through a once-in-a-generation moment where AI-native companies are redefining entire industries - Cursor for code, Midjourney for image gen, Harvey for law. Medly is building a generational company for education. In just 4 months since launch, we've achieved retention rates that beat Duolingo and delivered personalized education to over 100,000 users. We're looking for ambitious talent to join our team. Backed by impact-focused VCs and supported by partners including UCL, Innovate UK, Microsoft, and Google, we're becoming the go-to AI education platform for all major exams worldwide. The Role We are looking for a passionate Junior Fullstack Engineer to join our growing team at Medly. This is a new role working closely with our hands-on Technical CEO and other Full Stack Engineers to build and improve our web and mobile products. You will play a pivotal role in high-impact projects across our entire stack, from crafting polished user interfaces in Next.js and React Native to building robust backend services in Python. This is a high-impact opportunity for someone eager to learn fast, take ownership, solve real problems, and help power the next generation of educational technology. Role Responsibilities • Build and maintain features across our web app (Next.js) and mobile app (React Native), • Contribute to our Python backend and help improve API performance, • Collaborate on database design and write efficient queries in Postgres, • Work with AWS services to deploy and maintain our infrastructure, • Ship polished, user-facing features that directly impact student learning, • Collaborate closely with the CEO and other Full Stack Engineers on high-impact projects Technical Requirements • Recent graduate or up to 1 year of professional experience, • Familiarity with JavaScript and Next.js (React or React Native experience is a plus), • Basic knowledge of Python, • Understanding of SQL and relational databases, • Eagerness to learn cloud services (AWS experience is a plus but not required) Ideal Candidate • Quality Focus: Obsessive attention to detail and commitment to shipping polished, bug-free experiences, • Collaborative Spirit: Ability to work closely with designers, product managers, and other developers, • Educational Interest: Passion for education and learning, though specific EdTech experience isn't required, • Startup Mindset: Thrives in fast-paced environments with rapid iteration and high impact, • Innovation Drive: Excited by the opportunity to build cutting-edge educational technology What We Offer • Competitive salary, • Opportunity to make a real impact on educational outcomes for students worldwide, • Collaborative, diverse team united by a powerful mission, • Fast-paced environment with significant growth and development opportunities, • Regular team events and a culture focused on innovation and impact, • Work on products used by tens of thousands of students daily, • Shape the future of AI-powered education

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK: We are looking for a Senior Software Engineer passionate about solving ambitious problems and working directly with Ripple Trading and Markets in the cross-border payments space. We are passionate about the growth of our engineers and place a premium on career development. You will have a high degree of accountability and responsibility from Day 1. You will be an integral part of the Ripple Trading and Markets Team, building scalable, resilient and performant trading systems in a constantly evolving and fast paced environment. You will have real impact and have the opportunity to drive the architectural roadmap, whilst looking to optimize away manual inefficiencies. Example projects: The team has helped develop a number of modular building blocks • Low-latency Algorithms for Automated Trading and Systematic Market Making, • Real-time streaming pipelines and signals, • Pricing libraries and tooling, • Further evolution of the Algo suite, refining the signal processing and breadth of trading strategies and products., • Building towards an event-driven architecture to connect the logical building blocks and provide integrated communication between trading systems and to other partners., • Be an ambitious builder, working up and down the stack, mixing software engineering, data engineering, and distributed systems knowledge to build modern enterprise payment applications., • Build reliable, high-throughput, low-latency microservices to power a diverse range of trading use cases, • Engage in the complete software development lifecycle by collecting requirements, showcasing solid software design principles, and maintaining operational excellence through unit and integration testing, • Be a true owner, managing and supporting Trading Engineering applications throughout product lifecycle, • Work with teams across the organization, including product, legal, and business development to think beyond the technical implications of your design decisions, • Continuously raise our standard of engineering excellence by implementing and driving standard processes for coding, testing, and deployment, • Proactively identify customer and infrastructure difficulties and drive corresponding solutions., • 5+ years of software development with minimum 2 years in Ops or DevOps experience in trading environments, with expertise in large-scale distributed systems; recent work in Java, Go, or Scala is preferred., • Hands-on experience with container orchestration (Kubernetes, Docker, etc.) and cloud infrastructure, especially AWS; familiarity with Infrastructure-as-Code tools like Terraform or CloudFormation., • Strong CI/CD and deployment pipeline skills, with a security-first mentality and experience building scalable, robust, and secure distributed services., • Background in front-office trading systems, ideally with exposure to FX or crypto trading; front-end experience with React or similar frameworks is a plus., • Collaborate with the team to implement, configure, and manage comprehensive monitoring, logging, alerting, and observability solutions - advocating for security best practices., • Deploy, manage, operate, and scale applications and services on AWS - whilst troubleshooting performance issues across the stack., • Collaborative, agile approach, passionate about clean architecture, continuous improvement, and engineering standard methodologies., • Strong communication and mentorship skills, with a desire to share knowledge and work closely with a diverse and high-performing team. WHO WE ARE: Do Your Best Work • The opportunity to build in a fast-paced start-up environment with experienced industry leaders, • A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning., • Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team., • In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in., • Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team, • Competitive salary, bonuses, and equity, • Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support, • Employee giving match, • R&R days so you can rest and recharge, • Generous wellness reimbursement and weekly onsite & virtual programming, • Generous vacation policy - work with your manager to take time off when you need it, • Industry-leading parental leave policies. Family planning benefits.

🤖 Junior AI Engineer (0–2 years) | Competitive Salary | London & Luton | Hybrid Working 🚀 Are you a Junior AI Engineer looking to kick-start your career working on real-world machine learning systems used at scale? We’re looking for a curious and motivated Junior AI Engineer to join a collaborative, data-driven technology team, working in a flexible hybrid setup with offices in London and Luton. This role is ideal for someone early in their career who’s excited about applied AI, enjoys building things that go into production, and wants to learn from experienced engineers in a fast-moving environment. You’ll be part of a modern engineering function working on large-scale data and AI products, contributing to model development, data pipelines, and deployment workflows that power mission-critical platforms. 🔍 In this role, you’ll: 🤖 Build, train, and evaluate machine learning models using Python 📊 Work with large, complex datasets to support AI-driven products and insights 🧠 Assist with feature engineering, model experimentation, and performance optimisation ☁️ Contribute to data and ML pipelines in cloud-based environments 🗄 Work with structured and semi-structured data using SQL 🚀 Support the deployment and monitoring of models in production environments 🤝 Collaborate closely with data engineers, software engineers, and product teams 📐 Help maintain best practices around testing, documentation, and reproducibility 🌟 What’s in it for you? 📈 Career Development – Hands-on experience, mentorship from senior AI and data engineers, and clear progression paths 💡 Learning Culture – A team that encourages curiosity, experimentation, and continuous improvement 🏢 Hybrid Working – A flexible mix of remote work and time in London and Luton offices 🌍 Real-World Impact – Work on AI systems used by global customers at scale 💰 Competitive Package – Salary and benefits based on experience, including bonus, pension, and generous annual leave ✅ What we’re looking for: 🎓 A degree in Computer Science, AI, Data Science, Mathematics, Engineering, or a related field 💼 0–2 years of experience in AI, machine learning, or software/data engineering (including internships, placements, or academic projects) 🐍 Strong Python skills for ML and data processing 🗄 Experience working with SQL and structured datasets ☁️ Familiarity with cloud platforms and modern data stacks 🧠 A solid understanding of machine learning fundamentals and data workflows 💬 Strong communication skills and a collaborative mindset ⭐ Big bonus points for: ❄️ Experience with Snowflake 🧱 Experience with Databricks ⚙️ Exposure to ML pipelines, MLOps, or production ML systems If you’re excited about building AI systems, learning fast, and growing your career in a supportive, high-impact environment, we’d love to hear from you. 👉 Apply now and take the next step in your AI engineering career.

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

STEADROCK CAPITAL — AI & SYSTEMS ENGINEER (Graduate / Junior) Location: Mayfair, London Start: Immediate Type: Full-time, In person Compensation: £40,000–£60,000 + discretionary bonus About Steadrock Capital Steadrock is a London-based multifamily office and investment firm operating at the intersection of real estate private equity, AI compute infrastructure, and quantitative finance. We recently acquired 10 Queen’s Gate Place (SW7) for redevelopment into six luxury units (Grade II listed) with a projected GDV materially above £17M. Alongside our real estate strategy, we operate a dedicated AI infrastructure stack centered on an NVIDIA DGX system, used for in-house modelling, automation, and agent development. We are building a small, elite technical team. This role is a core pillar of that team. Role: AI & Systems Engineer. This is a hybrid role blending backend engineering, GPU systems, AI agent development, and automation. In your role, you will work with a part time, outside, technical consultant, specialising in the responsibilities below. This will allow for structured and greatly accelerated learning. Day to day, you will work directly with the founder, our economics lead, and our quantitative modelling lead. This is not a corporate environment. We move fast, prefer clean architecture, and value people who can think independently. Core Responsibilities You will own the technical backbone of Steadrock's internal systems: • Compute Infrastructure (DGX), • Manage our NVIDIA DGX server (Linux environment, CUDA, system health), • Build, test, and maintain internal APIs (FastAPI/Flask), • Design stable ngrok / reverse-proxy / network connections for remote access, • Optimise GPU utilisation and monitor performance, • AI Agent & Automation Development, • Develop pipelines for fine-tuning, embeddings, inference, • Backend & Internal Tools, • Build the “Steadrock OS”: internal dashboards, scheduling tools, risk engines, • Maintain Python codebase, Git repositories, environments, • Connect iPhone/iPad workflows with backend systems, • Data & Real Estate Interfaces, • Build automated comparables engines, • Assist with financial modelling scripts What You Need Technical • Strong Python, • Experience with Linux (Ubuntu), bash, SSH, • Understanding of GPUs, CUDA basics, or willingness to learn fast, • Experience with FastAPI, Flask or similar, • Basic networking knowledge (ports, tunnels, proxies), • Experience with LLM APIs (OpenAI, Anthropic, DeepSeek, Qwen), • Exposure to Docker or Kubernetes, • Familiarity with cloud providers (AWS/Azure/GCP), • Coursework or experience in ML, transformers, NLP, or distributed systemsBonus (not required), • Interest in real estate, • Interest in finance or quantitative modelling, • Experience building agents (LangChain, LlamaIndex, custom architectures) What We Offer • Work directly with an NVIDIA DGX system, • Build AI systems from the ground up, • Very high autonomy, • Exposure to private equity, high-end real estate development, planning strategy, • Freedom to design architecture as you see fit, • A fast-moving environment with no bureaucracy, • The opportunity to become a foundational technical hire (progression is fast Why This Is a Unique Role This is not a typical graduate software job. It is a rare opportunity to join a small, elite, multi-disciplinary team and: • Build AI systems with real impact, • Architect the compute backbone of a growing multi-family office, • Influence investment analysis, real estate strategy, and automation, • Touch every part of the tech stack, • Grow into a CTO-level position You won’t be maintaining someone else’s stack — you will be building Steadrock’s from scratch. Application Process • CV, • Short Python task (we will send a practical DGX-related challenge), • Technical interview (systems + Python), • Final discussion with the founder Work Location: In person

A fast-growing London-based FinTech firm building secure, scalable, and high-performance financial platforms that power digital payments, lending, and real-time financial services. As they scale the platform and expand their product offerings, they are looking for a Senior DevOps Engineer to play a key role in shaping the cloud infrastructure, automation strategy, and reliability standards. The Role As a Senior DevOps Engineer, you will lead the design, implementation, and optimisation of the infrastructure. You’ll work closely with engineering, security, and product teams to ensure our systems are secure, resilient, and compliant with financial regulations. This is a hands-on technical role with strategic influence — ideal for someone who thrives in high-availability, high-security environments and enjoys mentoring others. Key Responsibilities • Design, build, and maintain scalable cloud infrastructure (AWS), • Lead Infrastructure as Code initiatives, • Improve CI/CD pipelines, • Drive containerisation and orchestration, • Implement robust monitoring and observability, • Enhance system reliability, availability, and performance, • Champion DevSecOps best practices and automation, • Ensure compliance with financial services regulations and security standards, • Mentor junior engineers and contribute to technical strategy Requirements Essential: • DevOps / Platform Engineering experience, • Strong experience with AWS, • Deep knowledge of Terraform or other IaC tools, • Experience managing Kubernetes in production, • Strong scripting skills (Python, Go, or Rust), • Experience with CI/CD pipeline design and optimisation, • Understanding of networking, security, and high-availability architectures

This is a job that Scout, our AI Recruiter, is recruiting for on behalf of one of our clients. She will pick the best candidates from ivee's network. The next step is to create an ivee profile. Junior Back-end Engineer Company Description: Fast-growing scale-up This is a great opportunity to join a fast-moving engineering team as a Junior Backend Engineer. You’ll help build and maintain scalable backend systems that power real-world applications, working closely with product and front-end teams. It’s a hands-on role designed for someone early in their backend career who’s excited to learn, ship, and grow. Key responsibilities: • Build and maintain server-side logic using modern backend frameworks (e.g. Node.js, Python, Go), • Work with APIs — designing, integrating, and maintaining RESTful endpoints, • Support database design and optimisation (e.g. PostgreSQL, MongoDB), • Collaborate with front-end and product teams to deliver full-stack features, • Write clean, testable, and maintainable code, • Help improve system performance, scalability, and security, • Participate in code reviews and learn from senior engineers, • Stay curious and keep learning — especially in areas like DevOps, testing, or AI tooling What we're looking for: • 1–2 years of experience (including internships or personal projects) in backend development, • Proficiency in at least one backend language (Node.js, Python, Go, etc.), • Basic understanding of how REST APIs work, • Familiarity with databases and version control (e.g. Git), • Strong problem-solving mindset and attention to detail, • A willingness to learn fast and take feedback, • Bonus: any experience with cloud platforms (AWS, GCP), testing frameworks, or containerisation How to apply: Click apply to submit your application. To be automatically shortlisted for future roles like this, head to ___ to make a free account. Don't forget to upload your CV and write a bio to begin being headhunted for your dream position!

Senior / Principal Software Engineer - C++, Python – Financial / Banking Candidates will have a minimum 8+ years C++ experience and excellent knowledge of Python –coming from a Financial / Banking background with knowledge of Equities, Futures & Options and Fixed Income and Exchange Connectivity. Job Overview You will work with the Product, Infrastructure and QA teams, to produce high performance, low latency and highly reliable code. Your goal will be to develop software which handle large amount of TPS to drive a highly efficient technology used by several markets around the world. To be successful in this role as a Principal Software Engineer – C++, you will be a proponent of agile methodology and modern software best practices. You can produce detailed technical work in OOP and work with other members of the Development team to produce code of high-quality standards. Ideally, you should have worked in critical systems development in the past. Responsibilities and Duties • Codes, tests, integrates, and documents software., • Provides technical leadership to more junior employees and other teams., • Apply principles and techniques of computer science, engineering, and mathematical analysis to the development of complex products., • Participate as a Subject Matter Expert in internal review of software components and systems., • Work on the hardest technical problems facing the company, often these problems are unusually complex and require the utmost creativity and innovation., • Apply and champion the appropriate standards, processes, procedures, and tools throughout the system development life cycle to support the generation of technical engineering products., • Keep abreast of technology trends and champion new ideas and process improvements. Required Skills/Experience • 8+ years development experience in C++ 11 and Boost creating performant, scalable applications., • 6+ years of experience in networking (UDP, Multicasting, TCP, etc...), messaging, and algorithms., • 6+ years of experience on Linux systems., • Good understanding of modern development best practices and methodologies, • Python, including Pytest., • Knowledge of capital markets exchange connectivity on stocks (fixed income and derivatives is a plus), including exchange protocols such as FIX and SBE., • Most importantly, a drive to solve complex technological and trading challenges with a great team of talented developers., • Comfortable using Agile methodology, including continuous integration, sprints, Jira and the relevant processes and workflow., • Some understanding and usage of cloud technology is a plus but not mandatory. Candidates may be considered either as a Senior or Principal Software Engineer depending upon experience / skills with a salary range, reflective of your level between £100 / £140

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

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

New Permanent Opportunity for an Enhanced DV Cleared Data Scientist / AI Engineer in Central London. • Must have active enhanced DV Clearance, • Junior to Lead levels available, • £45k to £95k DoE plus 15% clearance bonus, • Must be willing to be full-time on-site in Central London, • Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You’ll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements • Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis., • Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes., • Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors., • Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform., • Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online or emailing me directly at . For further information please call me on 0161 416 6800 or 07719065951 - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Science / Data Scientist / AI Engineer / AI / Machine Learning / ML / NLP / GenAI / Stakeholder Engagement / Customer Engagement / AWS / Azure / Cloud / Docker / Kubernetes / CI/CD / Deep Learning

We are seeking a Google Cloud Technical Architecture Associate Manager to join the Accenture Google Business Group (AGBG) within Accenture Technology in the UK, with a strong focus on UK public sector clients. In this role, you will lead the technical architecture and delivery of secure, scalable Google Cloud solutions, working closely with clients and internal teams to deliver enterprise-grade outcomes. Security Clearance Requirement Any offer of employment is subject to satisfactory BPSS and SC security clearance. This requires a minimum of 5 years continuous UK address history at the point of application, typically including no periods of 30 consecutive days or more spent outside of the UK. About Accenture Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all these services. We combine industry expertise, diverse skill sets and next-generation technology to solve our clients’ most complex business challenges. We believe in inclusion, diversity and supporting the whole person. Our core values include Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Our Team Together, we engineer and build the infrastructure, tools, access and telemetry for systems that enable orchestration of Google-scale services. Join us and help build what matters. Key Responsibilities • Lead the technical architecture and delivery of Google Cloud solutions for public sector clients, • Design, deploy and operate secure sovereign Google Cloud solutions, including client-site and internal reference implementations, • Provide technical leadership, guidance and mentorship to small delivery teams, • Translate business and non-functional requirements into robust, scalable cloud architectures, • Minimum of 5 years uninterrupted residency in the UK, • At least one Google Cloud Professional-level certification, • Strong expertise across Google Cloud services such as Compute Engine, App Engine, Cloud Storage and GKE, • Experience architecting and engineering cloud-based solutions to meet business outcomes and non-functional requirements, • Hands-on experience producing technical documentation including architecture diagrams, design specifications and runbooks, • Experience implementing foundational cloud platforms including landing zones, IAM, VPC and networking, • Experience with Infrastructure as Code (e.g. Terraform), CI/CD pipelines and scripting languages such as Bash or Python, • Strong understanding of cloud security best practices including IAM, encryption and firewalling, • Hands-on networking experience across cloud and on-premise environments, • Proven experience leading small technical teams and mentoring junior colleagues, • Experience in site reliability engineering or production operations, including incident troubleshooting, • Competitive basic salary, • Up to 30 days’ annual leave, • Private medical insurance, • Three additional days’ leave per year for charitable work

We’re partnering with a boutique data analytics and technology consultancy with a strong and growing footprint across UK Central Government / Public Sector Following sustained organic growth and increasing demand from major government departments, the consultancy is expanding its consulting team and seeking Azure-focused engineers with real Kubernetes experience who want to move further into consulting, solution design, and architecture. We are open to candidates at different stages of their career: from Junior/mid Level Engineers ready to step into consulting, through to experienced Senior Consultants who can lead solution design and client conversations from day one. This is not just a sys admin type of role and not a pure platform support position. It’s a delivery-focused consulting role, working closely with clients to design and implement secure, scalable, cloud-native solutions, with a clear pathway to grow into an Azure & Kubernetes Solution Architect. Why Join Us? • Join a small, fast-growing consultancy where your contribution genuinely matters, • Work on long-term, meaningful programmes, including national-scale public sector projects, • Be supported in your progression toward Azure & Kubernetes Solution Architecture, • Balance hands-on engineering with design, consulting, and technical leadership, • Avoid rigid role definitions, your responsibilities will grow with your capability What You’ll Be Doing Depending on your experience, you’ll be involved in: • Designing and delivering Azure-based data and platform solutions, • Deploying, operating, and improving Kubernetes platforms (AKS) in real production environments, • Building and supporting modern, containerised workloads, • Contributing to solution design and architectural decisions, with increasing ownership as you grow, • Working across multiple client projects, adapting to different technical and business contexts, • Engaging directly with technical and non-technical stakeholders, understanding requirements and shaping solutions, • Writing clear, high-quality technical documentation and design artefacts, • Keeping up to date with emerging technologies and best practices in cloud, data, and DevOps Who This Role Is For This role could suit you if: • You’re a Junior / Mid Level Engineer looking to move into consulting and gain exposure to solution design and architecture, • You’re an experienced Consultant or Senior who enjoys hands-on delivery but also leading technical direction, • You have practical Kubernetes experience and want to apply it in varied, meaningful client environments, • You want to move toward a Solution Architect role, rather than staying purely operational, • You enjoy variety, ownership, and working closely with clients rather than being embedded in a single internal team Essential Skills & Experience • Continuously lived in the UK for 5+years without sponsorship or visa, and eligible to obtain Government Security Clearance (SC) - MANDATORY REQUIREMENT., • Commercial experience in data engineering, cloud engineering, or platform engineering, • Strong experience with Microsoft Azure, • Hands-on Kubernetes experience (ideally AKS, but equivalent experience considered), • Experience working with DevOps practices and CI/CD pipelines, • Coding experience (e.g. Python, SQL, R, SAS, or similar), • Experience working in secure or highly regulated environments, • Ability to work independently, take ownership, and use your initiative, • A numerate or technical degree, NVQ Level 4, or equivalent experience, • Excellent communication and stakeholder management skills Desirable (Nice to Have) • Experience migrating or modernising legacy platforms, • Exposure to SAS tools and/or SAS administration, • Familiarity with information security standards and controls, • Experience working in Agile delivery environments (Scrum, SAFe, etc.), • Previous consulting or client-facing experience Location & Travel • Remote within the UK - Very occasional travel to client site (typically once a month at most - travel expenses fully covered. Salary & Benefits • Salary range c. £55,000–£65,000, dependent on experience and level, • 12% employer pension contribution, • Up to 15% performance-related bonus, • Shared Company Bonus, • Standard company benefits in addition to above

Data Engineering Manager (Architect Architecture Data Development Engineer Engineering Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in Croydon, London. You MUST have the following: • Good experience as a Data Engineering Manager/Lead Data Architect, • Strong management experience- inheriting teams, raising standards and performance, • Strategy to align with the needs of the business, • Excellent design and architecture ability, • MS SQL Server, • Azure, • AI - even if outside work, • Agile On the engineering and architecture side, you will have good experience of leading companies from on-premise virtual machines to Azure. You will be seasoned in taking data projects from inception to design, architecture and technical delivery, contributing to the engineering yourself. In addition to taking environments to the cloud, you will also have some exposure to AI and ML and be comfortable in assessing what tools and products are most appropriate for the business' goals and evolution. On the managerial side, you will have led teams and have experience with line-management. If you have inherited teams previously, that would also be ideal. You will have worked in an FCA regulated environment and be familiar with the necessary requirements to be compliant from a data perspective. The journey you will take with this team will be to implement better monitoring, automation, migration to the cloud and then the adoption of AI and ML. As the business is c.200 people and the management team is strong and Agile, this could happen very quickly. The technology department has a hybrid working setup. You will be given the flexibility to come into the office as you wish although, in the initial months, it will probably be appropriate to go to the office 2-3 times/week. Salary: £80k - 100k + Bonus + Pension