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Senior AI Platform Engineer – Up to £90,000 Base Hybrid: 1–2 Days per Week On‑Site (South West London) A tech‑led insurer is scaling a new AI function and hiring an AI Platform Engineer to build production‑ready AI systems on GCP. This is one of the first hires into a newly created AI organisation, with the mandate to make the business the UK’s first fully AI‑powered insurer. What You’ll Do • Build and operate production‑grade AI agents on GCP using Google’s ADK, • Integrate AI systems with policy, claims and CRM platforms via REST/JSON APIs, • Develop scalable RAG pipelines including ingestion, text processing and vector search, • Implement evaluation, monitoring, A/B testing and cost/latency dashboards, • Shape architectural patterns, engineering standards and wider AI strategy, • Work across key AI products including claims automation and internal retrieval tools Role Requirements • Background in Data/ML Engineering or Software Engineering with strong applied AI experience, • Deep expertise in GCP (Vertex AI, BigQuery, Cloud Run/Functions, ADK, Model Garden), • Strong Python and API development experience, • Hands‑on with LLMs, embeddings, RAG, vector databases, • Proven track record building production‑ready AI systems with observability and testing, • Solid DevOps capability: CI/CD, Docker, Kubernetes Work Environment & Location • 1–2 days per week on‑site in either:, • South West London, • Hybrid flexibility the remainder of the week Key Products You'll Impact • Claims Automation (Agentic AI): End‑to‑end automated claims processing focused on efficiency, indemnity savings and cost reduction, • Internal AI‑powered retrieval tool already live and expanding across internal platforms Why Join? • Direct and visible impact on P&L, cost savings and operational performance, • A fast feedback loop — far quicker than large insurers or corporates, • Significant “low‑hanging fruit” in automation and workflow optimisation, • Opportunity to build agentic systems from the ground up, • Backed investment and a roadmap to scale the AI team to 10+ people, • Chance to be part of a pivotal transformation as the organisation becomes an AI‑powered insurer Apply below!

Embedded Software Engineer Location: Ealing Area - Hybrid Work from Home Salary: Up to £65,000 + Extensive benefits The Role KO2’s client is seeking a talented Embedded Software Engineer to help deliver robust, high-quality embedded software for existing and future electric products. This is an exciting opportunity to be involved in the full product lifecycle—from early prototype development through to production and manufacturing. Key Responsibilities • Develop high-quality embedded software that is efficient, maintainable, and scalable, • Work collaboratively with hardware engineers to support board bring-up, debugging, and system validation, • Design, implement, test, and support embedded software for internally developed electric systems, • Investigate and resolve complex real-time challenges related to timing, performance, and signal integrity, • Play an active role in shaping software architecture, coding standards, and future platform direction About You • Strong programming skills in C and C++, • Hands-on experience with embedded communication protocols such as BLE, CAN, I2C, UART, or SPI, • Comfortable using version control systems, particularly Git, • A proactive problem-solver with a methodical approach to identifying root causes, • Demonstrated experience in embedded software development, • Familiar with the full software development lifecycle, from requirements through to testing Desirable Skills • Experience with functional safety standards (ISO 13849 or ISO 26262), • Experience working with CI/CD pipelines (e.g. Jenkins, Docker), • Experience developing RTOS-based applications, • Familiarity with Python for tooling or automation Additional Requirements • Full right to work in the UK without sponsorship Apply today with an up-to-date CV or contact KO2 Embedded Recruitment for more details.

AI Engineer Job Tenure: Full-time, permanentSalary: CompetitiveCompany Description Ready to join a team that's leading the way in reshaping the future of insurance? Here at esure Group, we are on a mission to revolutionise insurance for good! We’ve been providing Home and Motor Insurance since 2000, with over 2 million customers trusting us to keep them covered through our esure and Sheilas’ Wheels brands. With a bold dedication for digital innovation, we're transforming the way the industry operates and putting customers at the heart of everything we do. Having completed our recent multi-year digital transformation, we’re now leveraging advanced technology and data-driven insights alongside exceptional service, to deliver personalised experiences that meet our customers ever-changing needs today and in the future. Job Description We currently have a phenomenal opportunity for an AI Engineer to join our us as we enhance our customer experience by harnessing the power of NLP, large language models, and flawless integration with third-party GenAI services. In this dynamic role, you'll be involved in every stage of the AI lifecycle, from brainstorming ideas and crafting prompts to fine-tuning models and deploying them into production. Success in this role is measured through rigorous A/B testing, ensuring our solutions deliver real value. You'll have the opportunity to work on a variety of impactful projects across the entire enterprise. We are seeking an innovative individual who shares our vision to fix insurance for good. What you’ll do: • Collaborate with business partners to identify use-cases where GenAI can provide measurable benefits., • Support the data science and AI team in deploying scalable AI applications across the enterprise., • Work with a multi-functional team (DevOps, data engineers, developers, testers, Infosec) to productionize AI services on AWS., • Enhance our tech stack, including MLOps, CI/CD pipelines, UI, and AI Python libraries., • Develop prompts, fine-tune models, and track results., • Evaluate third-party GenAI and LLM technologies for cost-benefit analysis., • Deliver projects from scoping and R&D to production deployment and benefit measurement., • Follow and contribute to standards for code quality, R&D, and model development., • Engineer data for optimal AI application performance., • Advise peers and senior management on business and customer impact., • Write production-grade Python code, leveraging CI/CD, Databricks, and ensuring appropriate test coverage; proficiency in SQL., • Liaise with third-party partners and stay updated on field advancements and regulations., • You are a self-starter with experience in delivering research + models to production to drive tangible commercial benefits and improved customer experiences., • You thrive in working autonomously and collaboratively to drive impact in a fast-paced multi-functional business., • PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent,, • Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to drive value in a commercial setting,, • Able to work independently and efficiently to deliver projects on time, taking project briefs and refining them to strong results., • Experienced in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution., • Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git., • Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc., • Knowledge of Langchain, huggingface and LLM offerings by 3rd party vendors., • Knowledge of OO programming and software design, i.e., SOLID principles., • Knowledge and working experience of AGILE methodologies., • Familiarity with Databricks, and RAG application architecture a plus, • Competitive salary that reflects your skills, experience and potential., • Discretionary bonus scheme that recognises your hard work and contributions to esure’s success., • 25 days annual leave, plus 8 flexible days and the ability to buy and sell further holiday., • Our flexible benefits platform is loaded with perks to choose from, so you can build a personal toolkit to support your health, wellbeing, lifestyle, and finances., • Company funded private medical insurance for qualifying colleagues., • Fantastic discounts on our insurance products! 50% off for yourself and spouse/partner and 10% off for direct family members., • We’ll elevate your career with hands-on training, mentoring, access to our exclusive academies, regular career conversations, and expert partner resources., • Driving good in the world couldn’t be more important to us. Our colleagues can use 2 volunteering days per year to support their local communities., • Join our internal networks and communities to connect, learn, and share ideas with likeminded colleagues., • We’re a proud supporter of the ABI’s ‘Make Flexible Work’ campaign and welcome you to ask about the flexibility you need. Our hybrid working approach also puts you in the driving seat of how and where you do your best work.

About the job Job summary DevOps Engineer Are you passionate about collaborative working and problem solving? Do you enjoy using your technical skills to help teams work more effectively, and get software into the hands of users with speed and stability? Are you looking for a new role in an organisation that treats you as an individual and supports you on your professional and career development journey? Then this is the role for you! We have an exciting opportunity for a DevOps Engineer, within the Platform Engineering group, during the IPO digital transformation journey. Working within an established team, this role provides an opportunity to turn innovative ideas into customer value using a range of technologies and delivery platforms. Key Tech: Azure DevOps Pipelines (including for Microsoft Dynamics 365 pipelines), scripting, Azure, Terraform, Microsoft Power Automate Cloud flows (training provided where there are specific skill gaps) Working Style This role will be carried out in-line with IPO Hybrid working arrangements where staff are currently expected to spend at least 20% of their time working onsite from one of our offices. This role is based in our Newport Office . The requirement for attendance at an office location can vary by role so we would encourage candidates to discuss working arrangements with the recruiting manager to agree a reasonable balance between working from home and the office Job description Main duties consist of but are not limited to: • Support all aspects of the software development lifecycle, applying DevOps principles and to lead on developing, implementing, enhancing and managing DevOps practices following agreed processes and best practices., • Working on the design, release and implementation of automated, repeatable, efficient delivery pipelines and holds responsibility for the management, delivery and improvements of the deployments onto Production., • Act as the DevOps engineer for Releases and troubleshooting of issues, with support from other engineers., • Providing administration, configuration and troubleshooting support for CI & CD pipelines and hosted container applications., • Working on delivery, integration, administration and configuration of DevOps tools. This includes tools for source control, build, CI & CD, code reviews, security scans, configuration automation, test automation, artefact management, monitoring and alerting., • Conducting reviews and quality checks for newly delivered code and be an advocate for security and performance standards in the organisation., • Implementing and configuring DevOps specific monitoring, alerting, auditing and notification strategies., • Contributing to technical decisions and directions in a collaborative team environment, including solution architecture, estimations, product planning and user stories., • Attending Team and Agile Scrum ceremonies., • Understanding of DevOps principles and experience of working in a DevOps or iterative development culture., • Demonstrable experience of using continuous integration (CI) and continuous deployment (CD) tools, including pipeline implementation., • Awareness of automated testing and embedding this in CI/CD pipelines., • Strong troubleshooting and problem solving skills with experience in service support., • Substantial development or scripting experience in one or more of the following:, • Python, • Bash, • PowerShell, • Substantial experience in administration and configuration of Azure DevOps Pipelines (preferred) or other CI/CD orchestration tools., • Substantial experience supporting the build and deployment of, or coding in one or more of the following or equivalent:, • Python, • .Net Core / C#, • NextJs / Node frontend, • Experience with Infrastructure as Code such as Terraform, • Experience in containerisation technologies and platforms such as Docker or Azure container services such as Azure App Services, Azure Functions, Azure Logic Apps or Azure Container Registry or equivalent., • Experience in managing and supporting distributed source code repositories (Git)., • Upload an anonymised copy of your current CV. Please remove all identifying markers such as name, title, education institution etc., • Working Together, • Developing Self and Others, • Unlimited Pluralsight video learning access, • Access to Microsoft's ESI training suite, • Hybrid working with no core hours, • Substantial support for career progression, • 25 days annual leave moving to 30 days in annual increments, • UK nationals, • nationals of the Republic of Ireland, • nationals of Commonwealth countries who have the right to work in the UK, • nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities with settled or pre-settled status under the European Union Settlement Scheme (EUSS) (opens in a new window), • nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities who have made a valid application for settled or pre-settled status under the European Union Settlement Scheme (EUSS), • individuals with limited leave to remain or indefinite leave to remain who were eligible to apply for EUSS on or before 31 December 2020

Data Scientist - Optimisation & Operations Research North West London (Hybrid, 3 days on-site) | £550 - £750 /day The Opportunity We're recruiting on behalf of a globally recognised organisation undergoing a major transformation in how it uses data to drive operational decisions. This is a rare chance to work on genuinely complex, high-impact decision-support software - embedding cutting-edge optimisation and machine learning directly into live operations. You'll join a high-performing, Agile product squad as a full-stack Data Scientist, sitting at the intersection of data engineering, ML, and operations research. What You'll Be Doing Designing and delivering optimisation and ML models (linear/mixed-integer programming, heuristics, supervised/unsupervised learning) in Python, from prototype to production Building robust, automated data pipelines and integrating models into cloud-based deployment pipelines with CI/CD Owning features end-to-end - from stakeholder requirements through to algorithm hardening, edge-case handling, and value measurement Working with orchestration frameworks (Dagster/Airflow), experiment tracking (MLflow), and containerised infrastructure (Docker/ECS) Collaborating closely with business stakeholders and contributing to roadmap and feature prioritisation What We're Looking For Strong operational research and optimisation background - this is a must Fluent Python, with hands-on experience of scikit-learn, pandas, numpy, Gurobi or similar OR packages Production ML/optimisation software experience - you've shipped models that run at scale Cloud platform experience (AWS preferred); familiarity with SageMaker, DVC, GitHub Actions a bonus Strong SQL and data engineering fundamentals Experience in airline, aviation, transport, or engineering/maintenance environments is highly desirable Master's degree (or equivalent) in Data Science, ML, or Operational Research - or strong demonstrable industry experience

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