130 jobs found

Full Stack Engineer (AI/ML, Python, Agentic) - Global Tech Company - London Day rate: £500 - £700 (inside IR35) Duration: 12 months Hybrid: 3 days per week Start: ASAP My exciting new client is looking for a Full Stack Engineer with AI/ML and Python experience. Hybrid working 3 days per week in the London office. Key Qualifications: 10+ years designing and developing operational support systems and automation solutions in Python, 5+ years leading reviews and ensuring quality in others' work. Hands-on experience with Selenium, and iOS functional automation. Experience with testing activities across the entire lifecycle of the project from inception to delivery. Front-End Development: Design and implement user interfaces using JavaScript, and frameworks such as React. Back-End Development: Develop and maintain server-side logic using Python. Manage APIs and integrate third-party services and tools. Ensure application data integrity and security by designing and managing databases in Postgres. AI/ML Expertise: Build and deploy Agentic systems, MCP servers/clients, and Retrieval-Augmented Generation (RAG) systems with Large Language Models (LLMs). Extract, transform, and load (ETL) data to build vector databases with embedding models. DevOps and Maintenance: Implement CI/CD pipelines to streamline development workflows in Jenkins. Monitor application performance and troubleshoot issues to maintain reliability and availability. Preferred Qualifications: Experience with building multi-agent systems and understanding of multi-agent design patterns. Graph database knowledge is a plus. Proficient with tools such as Charles, Git, and Jenkins. Automate data analytics and reporting across multiple systems. Strong understanding of software build tools and CI/CD integrations Lead coordination with multiple Engineering and Product teams to expedite issue prioritization and resolution. Create detailed test reports documenting progress, status, test plan completion, identified defects, and associated risks. Responsibilities: As part of the Automation Team, you will independently design and develop automation solutions in line with requirements provided by the Product team. Stay up to date with AI/ML trends across the industry and within to inform and influence design decisions. Develop test strategies, plans, cases, and scripts for both existing functionality and new features. Contribute to multiple initiatives, balancing new feature development with documentation and on-time delivery. Communicate status and progress in a timely manner, including sprint review reports, presentations, and planning demos for new features and MVPs. Participate in Scrum ceremonies and cross-functional meetings to strengthen collaboration within and across teams. Rates depend on experience and client requirements

The Liberty Recruitment Group is excited to be working in partnership with a leading Tech-enabled Analytics Consultancy based in London, who are looking for a Senior Backend Developer to join their award-winning Insurance division. As part of a mixed technical team including back-end developers, testers, front-end developers and actuarial data scientists, you d be working on their market-leading insurance application, used by some of the largest London Market and International insurers to assess over £200bn in reserves. Your key focus will be: Leading the design and development of new product features, providing a holistic approach to design Driving better integration between their C# and Python codebases, rewriting and restructuring code where needed to improve cohesion Address any performance bottlenecks and optimise performance of complex data workflows Championing best practice and guiding the junior team members What they re specifically looking for: C# development experience (.Net 8) with production-level proficiency Data engineering data-intensive application experience Python Azure PaaS / SaaS tools (eg. Azure Functions, App Services, Batch, Blob/Table/Queue Storage) Excellent problem-solving skills Why join them: It s an entrepreneurial environment pushing the boundaries, harnessing technology to enable more efficient analytics. A true people-first employer where you ll be supported to learn and develop your skills in a collaborative, innovative environment. Hybrid working (2 days a week in their London office), discretionary bonus, enhanced pension, private medical insurance, superb wellbeing services and much more

Senior Analytics Data Engineer - Snowflake & DBT (Contract) Location: London / Hybrid (2 days a week in the office) Contract Length: 6 Months (with possible extension) Rate: Negotiable Ref: J12991 Are you a seasoned Data Engineer with a passion for designing scalable solutions and transforming how businesses harness the power of data? This is an exciting opportunity to play a pivotal role in building a modern, enterprise-wide data platform for a global insurance leader undergoing a major back-office transformation. Following years of global growth and an ambitious digital transformation programme, a Data Team is being created, tasked with delivering an enterprise data platform, instilling best in class data governance, and enabling smarter, faster decision making through high quality data solutions. This contract role is central to the initiative. As a Senior Analytics Data Engineer, you will support the definition, delivery, and optimisation of robust, cloud based data engineering pipelines and models. You'll be a trusted technical advisor, collaborating across business and technology teams to ensure data solutions are aligned with strategic goals. Responsibilities: Design and develop scalable, high-performance data pipelines using Snowflake, DBT, and Azure DevOps Implement data transformations and support data curation and modelling best practices Champion clean, efficient code and peer review contributions from junior engineers Collaborate with stakeholders across geographies to clarify data requirements and drive delivery Contribute to the architecture of an enterprise data warehouse and reporting layer Support testing, validation, and documentation activities throughout the lifecycle Identify system inefficiencies and lead enhancements using innovative solutions Skills & Experience: Proven experience in senior data engineering roles, preferably within regulated industries Expertise in SQL, Snowflake, DBT Cloud, and CI/CD pipelines (Azure DevOps) Hands-on with ETL tools (e.g. Matillion, SNP Glue, or similar) Experience with AWS and/or Azure platforms Solid understanding of data modelling, orchestration, and warehousing techniques Strong communication, mentoring, and stakeholder engagement skills Knowledge of PowerBI and SAP is a plus Insurance or reinsurance domain knowledge is desirable Please note we can only accept applications from those with current UK working rights for this role, this client cannot offer visa sponsorship. If this role sounds like the perfect opportunity for you, don't hesitate to get in touch today to learn more. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you. Description: Job Title: Operational Engineer (Minerva SA Reg Risking) Clearance required:Must hold an Active SC clearance. Duration: 6 months Location: Telford (Hybrid) Job description: Project Overview : The Preventative Risking (PR) team within RIS is responsible for managing the risking and compliance referral processes for Self-Assessment (SA) registrations. Currently, the system identifies approximately 200,000 fraudulent registrations out of 1 million, resulting in an estimated £51 million to £219 million in lost SA repayment claims for (based on 2021/2022 figures). To address this, a proof of concept (POC) was developed using: SAS Enterprise Guide for table creation, SAS Studio V and SAS RTENG to build the SA registration network, SAS Viya 3.5 tools for risk assessment of new SA registrations. The POC leveraged data from 20 different sources, most of which were already housed in the Minerva Oracle database. Previously, some data had to be transferred manually. However, the automated file transfers described in this Solution Design Document (SDD) will now move that data to the SAS platform using approved Enterprise Architecture (EA) integration patterns, with the initial phase targeted for delivery in April 2026. This role will form part of a new scrum team within the Minerva Platform to develop and deliver the Ingestion and Risking within the SAS Platform, including IDP. Key Responsibilities: Design, development, and deployment of data integration and transformation solutions using Pentaho, Denodo, Talend, and SAS. Architect and implement scalable data pipelines and services that support Business Intelligence and analytics platforms. Collaborate with cross-functional teams to gather requirements, define technical specifications, and deliver robust data solutions. Champion Agile and Scrum methodologies, ensuring timely delivery of sprints and continuous improvement. Drive DevOps practices for CI/CD, automated testing, and deployment of data services. Mentor and guide junior engineers, fostering a culture of technical excellence and innovation. Ensure data quality, governance, and security standards are upheld across all solutions. Troubleshoot and resolve complex data issues and performance bottlenecks. Key Skills: SAS 9.4 (DI), SAS Viya 3.x (SAS Studio, VA, VI). Platform LSF, Jira, Platform Support. GIT. Strong expertise in ETL tools: Pentaho and Talend. Experience with data virtualization using Denodo. Proficiency in SAS for data analytics and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands-on experience with DevOps tools and practices (eg, Jenkins, Git, Docker, Kubernetes). Strong SQL and data modelling skills. Excellent problem-solving, communication, and leadership abilities. Key Qualifications: Proven track record of data projects and teams. Certifications in Agile/Scrum, DevOps, or relevant data technologies are a plus. If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. As a Fortune 5 business, we're one of the world's leading healthcare companies. There are no limits here on the resources you'll have or the challenges you'll encounter. We have been supporting global healthcare systems from Ireland and the UK for more than 20 years, building a dynamic and diverse team of more than 2,100 talented individuals. With a continued record of growth and stability, we're on the constant lookout for fresh talent to join our expanding teams. As a Senior Software Engineer you will play an important role in supporting key strategic initiatives for our Advanced Analytics and Digital Products business component. Designing and developing technical solutions you will work in close collaboration with our Product and Governance teams, testing out new ideas and helping bring them to market. In addition to having impact on a great team, you'll also discover the career opportunities you'd expect from an Industry Leader. Schedule: Full-time position with standard working hours of Monday - Friday, standard business hours Primary Responsibilities: Work as a Full Stack Engineer to design, code, build and test software solutions in DevOps scrum environment Lead team efforts to achieve timely resolution to all production issues Apply design patterns to best practices to software development Rapid prototyping within an Agile methodology Contributing to the applications' technology stack and driving progressive solutions to complex problems Working with technical and strategic product to create world class products Implementing complex code based on guidance provided by lead engineer on initiative(s) Pro-actively identifies and addresses security gaps in solution design and delivery You will be rewarded and recognised for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role, as well as providing development for other roles you may be interested in Required Qualifications: Experience with .NET Experience developing/operating with a commercial cloud environment, preferably MS Azure Experience with Agile, Continuous Integration and Continuous Delivery Experience with relational and non-relational database technologies Microsoft .NET technology stack experience (C# / .NET, .NET Core, Web APIs) Development Operations experience including Working knowledge of code management tools such as Git, agile management tools, i.e. Jira/Rally, CI/CD tools such as Jenkins, Azure DevOps Automated Testing experience including Unit test development and Integration test development Web Programing experience including HTML, CSS, JavaScript Knowledge of Agile & Software Development Best Practices including code scanning and remediation Preferred Qualifications: Degree in computer science Experience working in a MHRA regulated environment Experience with IAAS/PAAS services; together with delivery of Infrastructure-as-code using Terraform/ARM/ Ansible Experience with testing frameworks Soft Skills: Passionate about writing concise, well tested and robust code Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application. All telecommuters will be required to adhere to the UnitedHealth Group's Telecommuter Policy. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalised groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. Diversity creates a healthier atmosphere: Optum is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, civil status, family status, sexual orientation, disability, religion, age, race, and membership of the Traveller community, or any other characteristic protected by law. Optum is a drug-free workplace. 2023 Optum Services (Ireland) Limited. All rights reserved.

Conversion Rate Optimisation (CRO) Specialist - In-Product Journeys Contract: - 6 months possible extension London: Hybrid 2 days in office Rate: 450 tp 550/ a day Umbrella We are looking for a Conversion Rate Optimisation (CRO) Specialist with deep expertise in in-product optimisation and customer journey mapping. This role is central to driving measurable improvements in user acquisition, activation, engagement, and retention through data-driven experimentation, funnel analysis, and personalized journey building. The ideal candidate combines analytical rigour with customer empathy, knows how to translate insights into seamless product experiences, and has the technical acumen to work hand-in-hand with product managers, designers, and engineers. Key Responsibilities Conversion Optimisation & Experimentation Design and execute A/B and multivariate tests to improve in-product conversion and engagement metrics. Own the experimentation roadmap across onboarding, upsell flows, feature adoption, and cross-sell opportunities. Define key success metrics (activation rate, trial-to-paid, retention, churn reduction) and build dashboards with our analytics team to track progress. Journey Building & Mapping Map and optimise customer journeys across the product lifecycle, identifying friction points and opportunities for growth. Collaborate with various marketing functions to align in-product and out-of-product experiences (email, push, etc.). Develop and maintain a journey playbook to ensure consistency across user segments. Insights & Analysis Use quantitative (analytics, funnel tracking, cohort analysis) and qualitative (user testing, surveys, feedback) data to identify barriers to conversion. Partner with data teams to segment users and personalise journeys. Provide actionable insights to product, marketing, and engineering teams. Collaboration & Implementation Work closely with product managers, UX/UI designers, and engineers to ship impactful optimisations. Translate test findings into requirements and implementation plans. Advocate for a test-and-learn culture within product squads. Skills & Experience Proven track record in CRO roles, ideally focused on in-product optimisation (SaaS, subscription, or ecommerce experience preferred). Strong expertise with tools like Google Optimize, Optimizely, VWO, Amplitude, Mixpanel, GA4, Hotjar, FullStory, or similar. Hands-on experience building and analysing A/B tests, multivariate tests, and funnel optimisation. Proficiency in journey mapping and lifecycle design with a customer-centric approach. Strong understanding of UX best practices, persuasion principles, and behavioural psychology. Data literacy: ability to analyse large datasets, run SQL queries, and work with dashboards. Nice to have: web development skills (HTML, CSS, JavaScript) to prototype and implement tests quickly. Attributes Analytical thinker with a bias for action. Comfortable operating at the intersection of product, marketing, and engineering. Strong communication and storytelling skills - able to turn data into clear narratives and recommendations. Growth mindset: thrives in a test-learn-iterate environment. Success Metrics Improved activation and trial-to-paid conversion rates. Increased product adoption and feature utilisation. Reduction of drop-offs at critical funnel stages. Scalable, repeatable testing and optimisation framework embedded into the product org. What We Offer Opportunity to make a direct impact on millions of small businesses using QuickBooks worldwide. A collaborative and inclusive work environment. Competitive compensation and comprehensive benefits. Career growth and learning opportunities in a global tech leader. Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Job Title: Data Analytics - Senior Specialist D Location: Gaydon, Warwickshire Rate: £33.88ph via an Umbrella Company (Inside IR35) or £25.26ph PAYE Employment Type: Contract (31.3.26) Hours: Standard 40 Hours Per Week Reference: J Job Description: Duties: This role (Data Analytics - Software and Systems Testing) is focused on ensuring the integrity, consistency, and usability of software and systems testing data across all domains created in JIRA and generally visualised in Tableau. This role bridges the gap between Engineering, Testing, and Development teams by analysing the complex datasets, resolving tooling issues, and preparing high-quality data for decision-making and reporting. Identify patterns, anomalies, and insights to support engineering and quality teams. Skills: Ability to support project planning with data-driven insights. Ability to create transparent weekly Top-Management Reporting. Ability to interact with Key Engineering Stakeholders to ensure metrics are aligned and correct. Ability to interpret the data to determine the key messages that should be shared. Ability to ensure data integrity is maintained, by monitoring tickets for common errors. Ability to coaching other uses of the tooling on data consistency and cleanliness. Education: Degree educated or equivalent experience. Additional Information: This role is INSIDE IR35 =

Data Engineer Leicester (Hybrid - 2 days/week in-office) £45,000-£50,000 The Opportunity A leading UK-based retailer is seeking a data-driven problem solver to join as a Data Engineer. This role is ideal for a data analyst with strong data engineering skills, who is eager to work on meaningful projects that impact product visibility and sales across multiple international partner platforms. What You'll Be Doing Become the subject matter expert for all third-party product and sales data Develop tools and dashboards to communicate key partner data Handle and scope new data requirements from external partners Investigate and resolve data issues (e.g., product availability errors) Build and manage ETL pipelines and APIs to improve data delivery and accuracy Contribute to the overall data strategy alongside BI and analytics colleagues Tech You'll Use SQL Python Databricks Experience with web scraping or similar techniques would be a bonus. Interview Process Initial interview with the Data Manager Technical discussion/assessment (you'll walk through your approach to data problem-solving and tooling)

Expleo is seeking a skilled Data Analyst to join our customer's team in Warwick(12 month contract). This role is pivotal in supporting software and systems testing through data analytics, ensuring the integrity, consistency, and usability of testing data across engineering domains. You'll work closely with cross-functional teams to analyse complex datasets, resolve tooling issues, and deliver high-quality insights for decision-making and reporting. Key Responsibilities Analyse JIRA-generated datasets and visualise insights using Tableau. Identify patterns, anomalies, and trends to support engineering and quality teams. Ensure data integrity by monitoring tickets and resolving common errors. Prepare and deliver transparent weekly reports for top management. Collaborate with engineering stakeholders to align and validate metrics. Interpret data to extract key messages and actionable insights. Coach team members on data consistency and cleanliness across tooling platforms. Required Skills & Experience Strong analytical skills with experience in JIRA and Tableau. Proven ability to support project planning with data-driven insights. Experience in preparing executive-level reporting. Excellent communication skills to engage with engineering stakeholders. Detail-oriented with a focus on data integrity and quality. Ability to mentor and coach others on data best practices. Please submit your CV or reach out to (url removed) for more info