31 jobs found

PowerShell Automation Engineer (Contractor) - Security & Identity Freelance Contract Role Location: London, Paris, Brussels, or Amsterdam. Working Model: Hybrid - 8 days onsite per month. Overview We are seeking an experienced PowerShell Automation Engineer to join a security-focused technology team responsible for designing, developing, and maintaining automation solutions that support identity, access management, and operational security processes. Key Responsibilities Automation & Development Design, develop, test, and maintain PowerShell modules, scripts, and automation solutions. Create reusable automation frameworks that reduce manual effort and improve operational efficiency. Implement PowerShell best practices, including modular design, parameter validation, error handling, logging, and secure credential management. Perform code reviews and leverage static code analysis tools to ensure high-quality, maintainable solutions. Manage source control repositories and support CI/CD practices where applicable. Solution Design & Documentation Gather and analyse business and technical requirements from stakeholders. Translate requirements into scalable technical solutions and system designs. Produce and maintain technical documentation, including architecture diagrams, process flows, operational procedures, and system configurations. Support knowledge sharing and documentation standards across the team. Security & Identity Management Support security initiatives through automation and process improvement. Conduct security assessments and risk analyses to identify vulnerabilities and recommend remediation actions. Implement and maintain security controls aligned with organisational policies and regulatory requirements. Work with identity and access management processes, including Active Directory administration and identity governance concepts. Infrastructure & Operational Support Monitor and maintain automation platforms, supporting infrastructure, servers, databases, and associated components. Troubleshoot and resolve complex technical issues impacting automation solutions and operational processes. Ensure solutions remain reliable, scalable, secure, and performant. Support incident investigation, root-cause analysis, and continuous improvement activities. Reporting & Analytics Develop and maintain operational and security reporting solutions. Work with SQL data sources to extract, transform, and analyse information. Create and maintain Power BI dashboards and reports to support decision-making and operational oversight. Provide meaningful insights through data visualisation and reporting. Collaboration Partner with Security, Infrastructure, Operations, Compliance, and Engineering teams. Participate in Agile/Scrum ceremonies and contribute to delivery planning and prioritisation. Communicate effectively with both technical and non-technical stakeholders across multiple locations and cultures. Required Skills & Experience PowerShell Advanced PowerShell development experience (PowerShell 5.1 and/or 7+). Strong understanding of scripting, functions, modules, remoting, and automation frameworks. Expertise in PowerShell best practices, including code readability, approved verbs, parameter validation, secure secret handling, error handling, logging, and testing approaches. Experience with Git-based source control. Automation & Engineering Experience developing enterprise automation solutions and operational tooling. Familiarity with PowerShell Script Analyzer and static code analysis tools. Strong troubleshooting and problem-solving skills. Identity & Infrastructure Solid Active Directory administration experience. Strong understanding of authentication, authorisation, delegation, and identity management concepts. Experience supporting enterprise infrastructure environments. Data & Reporting Knowledge of SQL and T SQL fundamentals. Experience querying, shaping, and analysing operational data. Ability to produce clear and actionable operational and security reports. Professional Skills Strong analytical and critical thinking capabilities. Excellent written and verbal communication skills. Ability to work independently and manage competing priorities. Experience working within Agile/Scrum environments. Comfortable operating in multicultural and geographically distributed teams. Desirable Skills Experience with Ansible for configuration management and automation. Exposure to SailPoint Identity Security Cloud or other Identity Governance and Administration (IGA) platforms. Experience integrating identity solutions with SIEM, PAM, and other security technologies. Working knowledge of Power BI for dashboard development and data visualisation. Exposure to Microsoft Power Apps. Ability to read and interpret Excel VBA scripts.

Data Scientist - Agentic AI (Hybrid)Applyremote type: Hybridlocations: Belfast 10 Mays Meadow: Der-Derry/Londonderrytime type: Full timeposted on: Posted Todaytime left to apply: End Date: June 13, 2026 (6 days left to apply)job requisition id: R27995At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Your role in the team As a Data Scientist in Allstate's AI Risk, Governance and Research area, you'll support the development and maintenance of data driven agentic solutions, working under the guidance of senior team members across the full lifecycle-from data collection and exploratory analysis to model/agent development, deployment, and monitoring. You will build foundational experience designing and implementing AI agents and cloud-based AI solutions, while learning how to maintain scalable AI systems in production environments. You'll collaborate across teams to learn and apply established best practices and reusable components, helping ensure consistent and high-quality execution of agents. As a team member, you'll contribute to the development and deployment of machine learning and AI solutions, with exposure to observability, security, and efficient LLM utilization. Key Responsibilities Learns and applies LLMs, programming languages, and tools used by the team to improve efficiency and solve business problems. Assists in exploring new data sources, research, and models under direction from senior team members. Supports project planning efforts by breaking down AI/predictive modeling and development tasks into manageable subtasks, tracking progress and meeting assigned deadlines. Executes analytical and modeling tasks as part of a larger project team. Applies standard best practices to develop statistical and machine learning techniques to build models that address business needs and improve data quality and decision making. Reviews and discusses AI/modeling techniques and results with peers and mentors, clearly communicating findings and incorporating feedback. Contributes to stakeholder communications by preparing summaries, documentation, and analysis to support senior team members in influencing business partners and leaders. Works with guidance to understand business problems and requirements and help identify appropriate modeling approaches. Assists in developing prototypes and frameworks that integrate data and machine learning/predictive modeling into business decision making processes. Essential Skills: All applicants must demonstrate they have a legal right to work in the UK for employment at Allstate. Allstate is not providing sponsorship for this vacancy. A minimum 3 years of hands on, practical experience using Python for data analysis, modelling, and building production ready solutions, along with experience using other modern data science tools (R, SQL, TensorFlow, PyTorch). Working knowledge or coursework exposure to CI/CD pipelines, containerization (Docker), observability concepts, and cloud security fundamentals. Introductory experience or strong interest in AI agent development using at least one framework (e.g., Azure AF, AWS Strands, Google ADK, LangGraph, OpenAI Agents SDK). Desirable Skills: Interest in or exposure to risk management or AI governance concepts. Exposure to AWS Bedrock and/or Azure Foundry through projects, coursework, or on the job experience. Basic familiarity with Infrastructure as Code (IaC) concepts and tools for provisioning and managing cloud resources. Familiarity with building no-code/low-code agents using M365. A degree of any level in a quantitative field such as mathematics, physics or computer science with classification of 2.1 or higher (or equivalent). Supervisory Responsibilities: This job does not have supervisory duties. Posting date: Friday 12th June .59pm Skills AI Agents, Business Case Analyses, Data Analytics, Data Science, Machine Learning (ML), Machine Learning Algorithms, Machine Learning Methods, Predictive Analytics, Predictive Modeling, Python (Programming Language), Structured Query Language (SQL), Waterfall Model Shape the Future of Insurance with Cutting-Edge Tech and a People-First Culture Why join us? Allstate NI is proud to be Allstate's European Digital Centre of Excellence, a hub for innovation and engineering excellence. We're recent winners of Best Place to Work in IT (100+ employees) and Best Use of Cloud Services at the Belfast Telegraph IT Awards, and we've been recognised for our community and sustainability impact with Platinum in the Northern Ireland Environmental Benchmarking Survey.We're a product-driven, cloud-first organisation delivering real outcomes through modern technology, a digital product-centric talent model, and a culture rooted in engineering excellence. Our teams work in cross-functional structures, guided by an outcome-based delivery approach that accelerates speed, agility, and value.We also invest in you. At Allstate NI, your career growth matters. You'll have access to our Continuous Learning Hub, designed to support skills development and professional advancement through tailored learning paths, certifications, and mentoring opportunities. Whether you're deepening technical expertise or exploring leadership roles, we provide the tools and support to help you thrive. What do you get in return? As well as receiving a competitive annual salary, our reward package includes: Corporate bonus scheme Pension scheme Annual performance-related pay reviews Life assurance and income protection Flexible working options Hybrid working Private medical and dental insurance Access to an employee assistance programme Discounted gym membership Two paid volunteering days each year Cycle to work schemeBe part of a high-performing, socially responsible organisation where your work has purpose, and your growth is supported every step of the way.

Our Company At Quantum, we connect global brands with high-intent consumers. We turn intent into action and complexity into clarity. Our Mission is clear, to help smarter, faster buying decisions. Our vision, to be the world's most used digital comparison service, delivering value and simplicity to millions. We drive growth through data-driven affiliate marketing built for performance from day one. Every campaign is measurable, optimized in real time, and designed to scale. With in-house tech, full-stack analytics, and a compliance-first mindset, we give our partners an edge. We drive confident decisions and growth in regulated and high-growth sectors. We've helped ambitious brands grow faster, smarter, and globally. The Role We're looking for an experienced Senior AI Engineer to join our team. You'll be at the forefront of designing, developing, and deploying AI systems that power personalised advertising, customer journey analytics, audience segmentation, and real-time bidding strategies. Working closely with BI, data engineers, and product teams, you'll help build scalable AI solutions that deliver measurable business outcomes for some of the world's most recognised brands. Our infrastructure is powered by Google Cloud Platform (GCP), and we take pride in applying cutting edge AI techniques to real-world marketing and advertising challenges. Key Responsibilities Architecture & Multi-Agent Design: Design, build, and deploy scalable multi-agent systems and generative AI features for Mar Tech challenges including ad targeting, user segmentation, and content personalisation. Advanced Agentic Workflows: Research and implement agentic design patterns such as planning, reflection, and tool usage using orchestration frameworks like LangGraph, AutoGen, or CrewAI. Cross-Functional Collaboration: Work closely across the organisation to translate ambiguous business objectives into discrete agent personas, tool definitions, and behavioural boundaries. Performance & Guardrails: Monitor and optimise multi-agent systems in production, tracking agent-specific metrics including token efficiency, execution loops, and tool-calling accuracy to ensure system reliability. Security & Compliance: Maintain high standards for data security, model explainability, and mitigation of agent-specific risks such as prompt injection and unintended tool execution in compliance with GDPR and CCPA. Mentorship & Best Practices: Support and develop junior engineers and help champion best practices in agent-oriented programming, prompt engineering, model evaluation, and scalable cloud infrastructure. About You Experienced in software engineering, ideally in Ad Tech, Mar Tech, or similarly complex and high-scale environments Experience building multi-agent or single-agent architecture with integrations to APIs and/or MCPs A good understanding of supervised, unsupervised, and reinforcement learning methods alongside experience working with foundation models and prompt engineering Practical experience with GCP services or AWS equivalent such as Vertex AI, BigQuery ML, Dataflow, AI Platform Pipelines, and Dataproc Practical experience with CI/CD for AI/ML, model versioning, monitoring, and AI Ops practices An understanding of marketing and advertising concepts such as customer lifetime value, attribution modelling, real-time bidding, and audience targeting is a plus Familiarity with data pipeline orchestration tools such as Apache Airflow and Kubernetes is a plus You do your best work as part of a team and enjoy sharing knowledge just as much as gaining it Confident navigating ambiguity and a fast moving environment Excellent written and verbal communication skills Collaborative and grounded, you value the perspectives of others and create space for everyone to contribute What You'll Get Private Health Care (Bupa) Hybrid Working (3 days in office) Travel Insurance Competitive Base Salary Company Bonus Scheme Paid for AI Subscription (Claude / ChatGPT / Gemini) Market-Leading Training Programme Recognition & Reward Scheme Annual Company Conference Regular Happy Hours & Team Lunches Free Coffee, Drinks & Snacks What's the next step? Our hiring process ensures we're recruiting the right people for the role. We ensure that people are as suitable for us as we are for them. If you like the sound of what we're all about at Quantum and want to join a team where you can make an impact, please apply or contact us at .

Locations: Liverpool, GB - L3 1NW • Glasgow, GB - G2 1EH • London, GB - EC2V 7QN At Rathbones, we help people invest their money well, so they can live well. That means more than financial returns - it's about helping people feel confident in their decisions and supported in their future. We don't just manage money, we guide people through life's big moments, helping them stay on track and focus on what matters most. We're proud to be one of the UK's leading wealth managers, with over £109bn in assets under management and 20+ offices across the UK and Channel Islands. We're a FTSE 250 company with national reach and a local feel - and we're growing. As of June 2025 Role Title: Automation Engineer Division: Technology Location: Glasgow, Liverpool, London Reports to: Automation Product Owner Working pattern: Hybrid About the Role Design, build and run AI powered automations that improve speed, quality and colleague experience. The Automation Engineer will engineer copilots, agents and AI first workflows on Microsoft platforms, grounded in enterprise data and delivered with strong controls. You'll still use classic automation where it fits, but your default mindset is AI then automate-leveraging Copilot Studio, Azure OpenAI, and Power Platform to solve real business problems end to end. What you'll be responsible for AI & Agent engineering - Build secure, reliable copilots/agents in Copilot Studio (topics, actions, plugins, triggers), orchestrating tasks, decisions and integrations across M365 and line of business systems. Generative workflows - Design RAG grounded (retrieval augmented) workflows using Azure OpenAI with Graph/data connectors; optimise prompts, grounding, safety and evaluation. Power Platform delivery - Implement Power Automate (cloud/desktop) flows and Power Apps where appropriate; create reusable connectors/components; apply DLP policies. Systems integration - Integrate with APIs (REST/JSON), SharePoint/Teams/Outlook, CRM, data platforms and event triggers; handle identity, permissions and audit. Quality, reliability & support - Write testable solutions, instrument for telemetry, monitor for drift, and iterate based on usage data and user feedback. Process design - Partner with SMEs to map AS IS/TO BE, prioritise opportunities, and choose the right tool (agent, gen AI, workflow, RPA) for the job. Continuous improvement - Track emerging features, evolve patterns/playbooks, and mentor colleagues through show and tell sessions and code reviews. About you Strong problem solving, pragmatic delivery, and comfort with rapid iteration. Clear communicator who can explain trade offs and make defensible technical choices. Disciplined engineering habits: testing, observability, documentation, and secure coding. Proven ability to turn ambiguous business needs into working AI agents and automations. Copilot Studio - topics, actions, plugins, Power Automate triggers, knowledge sources; lifecycle, environments and ALM. Microsoft 365 & Graph - SharePoint, Teams, Outlook; Graph APIs/connectors; permissions & governance. Azure AI Foundry (AI Studio) - Prompt Flow orchestration, evaluation flows, model catalog deployments, vector search/RAG pipelines, safety configuration, monitoring and AI project lifecycle management. Dev fundamentals - Git/Azure DevOps, CI/CD, environment strategy, secure secrets management. RPA experience (e.g., Blue Prism) for legacy/desktop use cases; UiPath/Automation Anywhere exposure a plus. Scripting - PowerShell and/or Python for utilities, data prep and connectors. Power BI for light analytics/telemetry visualisation. Test automation (unit, integration, contract tests) and chaos/latency testing for agents. Basic front end skills for internal tools (e.g., Fluent UI, react - nice to have). Measures of Success AI agents and automations are delivered to production safely, with clear measurable benefits (time saved, quality uplift, improved colleague experience). Solutions are secure, compliant and supportable: documented build/runbooks, monitored performance, controlled access, and auditable changes. Automation and AI patterns are reusable and scalable (components, connectors, standards), reducing delivery time for future use cases. Our offer to you We want everyone at Rathbones to fulfil their potential, in an environment where you are proud to work and feel like you belong. We offer a comprehensive remuneration package, which we review regularly, and benefits include: A company pension - 9% non contributory or 10% if you contribute 5% Private medical insurance - Individual on joining, family after 1 year's service Life assurance - 8 salary Company share scheme Discretionary bonus Flexible holidays - purchase up to 5 additional days Green Car Scheme Family friendly policies - enhanced family leave for parents & carers Study support - study days and funding for courses and qualifications Season travel ticket loans Other voluntary benefits you can choose to suit you Life at Rathbones We aim to become an employer of choice for the wealth management sector, to achieve this we are working hard to build a diverse, equal, and inclusive workplace that motivates, develops and embraces the strengths of all our colleagues. Being part of Rathbones means you will join a team of passionate professionals in a successful culture that cares for its people. At Rathbones, we provide meaningful work, opportunities, and a voice to all. We are committed to building a team that is made up of diverse skills, experiences and abilities and encourage applications from all backgrounds. We welcome individuals who share our values. Mission We believe in playing the long game. That means building consistent results, earning trust and doing the right thing - for our clients, our colleagues and the communities we're part of. Our values shape how we work: We aim high We get it done We show we care We do the right thing We're a Disability Confident Employer (level 2) under the UK Government scheme. This means we've signed up to a set of commitments around how we recruit, retain and develop people with disabilities. Find out more about the Government Scheme online, click here. If you require adjustments to apply for a role at Rathbones, please contact us via to let us know what adjustments you may need. We will close this advert once we have received enough applications for the next stage. Please submit your application as soon as possible to ensure you don't miss out.

Locations: Liverpool, GB - L3 1NW • Glasgow, GB - G2 1EH • London, GB - EC2V 7QN At Rathbones, we help people invest their money well, so they can live well. That means more than financial returns - it's about helping people feel confident in their decisions and supported in their future. We don't just manage money, we guide people through life's big moments, helping them stay on track and focus on what matters most. We're proud to be one of the UK's leading wealth managers, with over £109bn in assets under management and 20+ offices across the UK and Channel Islands. We're a FTSE 250 company with national reach and a local feel - and we're growing. As of June 2025 Role Title: Automation Engineer Division: Technology Location: Glasgow, Liverpool, London Reports to: Automation Product Owner Working pattern: Hybrid About the Role Design, build and run AI powered automations that improve speed, quality and colleague experience. The Automation Engineer will engineer copilots, agents and AI first workflows on Microsoft platforms, grounded in enterprise data and delivered with strong controls. You'll still use classic automation where it fits, but your default mindset is AI then automate-leveraging Copilot Studio, Azure OpenAI, and Power Platform to solve real business problems end to end. What you'll be responsible for AI & Agent engineering - Build secure, reliable copilots/agents in Copilot Studio (topics, actions, plugins, triggers), orchestrating tasks, decisions and integrations across M365 and line of business systems. Generative workflows - Design RAG grounded (retrieval augmented) workflows using Azure OpenAI with Graph/data connectors; optimise prompts, grounding, safety and evaluation. Power Platform delivery - Implement Power Automate (cloud/desktop) flows and Power Apps where appropriate; create reusable connectors/components; apply DLP policies. Systems integration - Integrate with APIs (REST/JSON), SharePoint/Teams/Outlook, CRM, data platforms and event triggers; handle identity, permissions and audit. Quality, reliability & support - Write testable solutions, instrument for telemetry, monitor for drift, and iterate based on usage data and user feedback. Process design - Partner with SMEs to map AS IS/TO BE, prioritise opportunities, and choose the right tool (agent, gen AI, workflow, RPA) for the job. Continuous improvement - Track emerging features, evolve patterns/playbooks, and mentor colleagues through show and tell sessions and code reviews. About you Strong problem solving, pragmatic delivery, and comfort with rapid iteration. Clear communicator who can explain trade offs and make defensible technical choices. Disciplined engineering habits: testing, observability, documentation, and secure coding. Proven ability to turn ambiguous business needs into working AI agents and automations. Copilot Studio - topics, actions, plugins, Power Automate triggers, knowledge sources; lifecycle, environments and ALM. Microsoft 365 & Graph - SharePoint, Teams, Outlook; Graph APIs/connectors; permissions & governance. Azure AI Foundry (AI Studio) - Prompt Flow orchestration, evaluation flows, model catalog deployments, vector search/RAG pipelines, safety configuration, monitoring and AI project lifecycle management. Dev fundamentals - Git/Azure DevOps, CI/CD, environment strategy, secure secrets management. RPA experience (e.g., Blue Prism) for legacy/desktop use cases; UiPath/Automation Anywhere exposure a plus. Scripting - PowerShell and/or Python for utilities, data prep and connectors. Power BI for light analytics/telemetry visualisation. Test automation (unit, integration, contract tests) and chaos/latency testing for agents. Basic front end skills for internal tools (e.g., Fluent UI, react - nice to have). Measures of Success AI agents and automations are delivered to production safely, with clear measurable benefits (time saved, quality uplift, improved colleague experience). Solutions are secure, compliant and supportable: documented build/runbooks, monitored performance, controlled access, and auditable changes. Automation and AI patterns are reusable and scalable (components, connectors, standards), reducing delivery time for future use cases. Our offer to you We want everyone at Rathbones to fulfil their potential, in an environment where you are proud to work and feel like you belong. We offer a comprehensive remuneration package, which we review regularly, and benefits include: A company pension - 9% non contributory or 10% if you contribute 5% Private medical insurance - Individual on joining, family after 1 year's service Life assurance - 8 salary Company share scheme Discretionary bonus Flexible holidays - purchase up to 5 additional days Green Car Scheme Family friendly policies - enhanced family leave for parents & carers Study support - study days and funding for courses and qualifications Season travel ticket loans Other voluntary benefits you can choose to suit you Life at Rathbones We aim to become an employer of choice for the wealth management sector, to achieve this we are working hard to build a diverse, equal, and inclusive workplace that motivates, develops and embraces the strengths of all our colleagues. Being part of Rathbones means you will join a team of passionate professionals in a successful culture that cares for its people. At Rathbones, we provide meaningful work, opportunities, and a voice to all. We are committed to building a team that is made up of diverse skills, experiences and abilities and encourage applications from all backgrounds. We welcome individuals who share our values. Mission We believe in playing the long game. That means building consistent results, earning trust and doing the right thing - for our clients, our colleagues and the communities we're part of. Our values shape how we work: We aim high We get it done We show we care We do the right thing We're a Disability Confident Employer (level 2) under the UK Government scheme. This means we've signed up to a set of commitments around how we recruit, retain and develop people with disabilities. Find out more about the Government Scheme online, click here. If you require adjustments to apply for a role at Rathbones, please contact us via to let us know what adjustments you may need. We will close this advert once we have received enough applications for the next stage. Please submit your application as soon as possible to ensure you don't miss out.

Locations: Liverpool, GB - L3 1NW • Glasgow, GB - G2 1EH • London, GB - EC2V 7QN At Rathbones, we help people invest their money well, so they can live well. That means more than financial returns - it's about helping people feel confident in their decisions and supported in their future. We don't just manage money, we guide people through life's big moments, helping them stay on track and focus on what matters most. We're proud to be one of the UK's leading wealth managers, with over £109bn in assets under management and 20+ offices across the UK and Channel Islands. We're a FTSE 250 company with national reach and a local feel - and we're growing. As of June 2025 Role Title: Automation Engineer Division: Technology Location: Glasgow, Liverpool, London Reports to: Automation Product Owner Working pattern: Hybrid About the Role Design, build and run AI powered automations that improve speed, quality and colleague experience. The Automation Engineer will engineer copilots, agents and AI first workflows on Microsoft platforms, grounded in enterprise data and delivered with strong controls. You'll still use classic automation where it fits, but your default mindset is AI then automate-leveraging Copilot Studio, Azure OpenAI, and Power Platform to solve real business problems end to end. What you'll be responsible for AI & Agent engineering - Build secure, reliable copilots/agents in Copilot Studio (topics, actions, plugins, triggers), orchestrating tasks, decisions and integrations across M365 and line of business systems. Generative workflows - Design RAG grounded (retrieval augmented) workflows using Azure OpenAI with Graph/data connectors; optimise prompts, grounding, safety and evaluation. Power Platform delivery - Implement Power Automate (cloud/desktop) flows and Power Apps where appropriate; create reusable connectors/components; apply DLP policies. Systems integration - Integrate with APIs (REST/JSON), SharePoint/Teams/Outlook, CRM, data platforms and event triggers; handle identity, permissions and audit. Quality, reliability & support - Write testable solutions, instrument for telemetry, monitor for drift, and iterate based on usage data and user feedback. Process design - Partner with SMEs to map AS IS/TO BE, prioritise opportunities, and choose the right tool (agent, gen AI, workflow, RPA) for the job. Continuous improvement - Track emerging features, evolve patterns/playbooks, and mentor colleagues through show and tell sessions and code reviews. About you Strong problem solving, pragmatic delivery, and comfort with rapid iteration. Clear communicator who can explain trade offs and make defensible technical choices. Disciplined engineering habits: testing, observability, documentation, and secure coding. Proven ability to turn ambiguous business needs into working AI agents and automations. Copilot Studio - topics, actions, plugins, Power Automate triggers, knowledge sources; lifecycle, environments and ALM. Microsoft 365 & Graph - SharePoint, Teams, Outlook; Graph APIs/connectors; permissions & governance. Azure AI Foundry (AI Studio) - Prompt Flow orchestration, evaluation flows, model catalog deployments, vector search/RAG pipelines, safety configuration, monitoring and AI project lifecycle management. Dev fundamentals - Git/Azure DevOps, CI/CD, environment strategy, secure secrets management. RPA experience (e.g., Blue Prism) for legacy/desktop use cases; UiPath/Automation Anywhere exposure a plus. Scripting - PowerShell and/or Python for utilities, data prep and connectors. Power BI for light analytics/telemetry visualisation. Test automation (unit, integration, contract tests) and chaos/latency testing for agents. Basic front end skills for internal tools (e.g., Fluent UI, react - nice to have). Measures of Success AI agents and automations are delivered to production safely, with clear measurable benefits (time saved, quality uplift, improved colleague experience). Solutions are secure, compliant and supportable: documented build/runbooks, monitored performance, controlled access, and auditable changes. Automation and AI patterns are reusable and scalable (components, connectors, standards), reducing delivery time for future use cases. Our offer to you We want everyone at Rathbones to fulfil their potential, in an environment where you are proud to work and feel like you belong. We offer a comprehensive remuneration package, which we review regularly, and benefits include: A company pension - 9% non contributory or 10% if you contribute 5% Private medical insurance - Individual on joining, family after 1 year's service Life assurance - 8 salary Company share scheme Discretionary bonus Flexible holidays - purchase up to 5 additional days Green Car Scheme Family friendly policies - enhanced family leave for parents & carers Study support - study days and funding for courses and qualifications Season travel ticket loans Other voluntary benefits you can choose to suit you Life at Rathbones We aim to become an employer of choice for the wealth management sector, to achieve this we are working hard to build a diverse, equal, and inclusive workplace that motivates, develops and embraces the strengths of all our colleagues. Being part of Rathbones means you will join a team of passionate professionals in a successful culture that cares for its people. At Rathbones, we provide meaningful work, opportunities, and a voice to all. We are committed to building a team that is made up of diverse skills, experiences and abilities and encourage applications from all backgrounds. We welcome individuals who share our values. Mission We believe in playing the long game. That means building consistent results, earning trust and doing the right thing - for our clients, our colleagues and the communities we're part of. Our values shape how we work: We aim high We get it done We show we care We do the right thing We're a Disability Confident Employer (level 2) under the UK Government scheme. This means we've signed up to a set of commitments around how we recruit, retain and develop people with disabilities. Find out more about the Government Scheme online, click here. If you require adjustments to apply for a role at Rathbones, please contact us via to let us know what adjustments you may need. We will close this advert once we have received enough applications for the next stage. Please submit your application as soon as possible to ensure you don't miss out.

Senior Data Scientist IApplylocations: Londontime type: Full timeposted on: Posted Todayjob requisition id: R113837 About the team : Elsevier's mission is to help researchers, clinicians, and life sciences professionals advance discovery and improve health outcomes through trusted content, data, and analytics.This role sits within Elsevier's Platform Data Science organization , a centralized AI and data science group responsible for advancing intelligent discovery, retrieval, and generative AI capabilities across Elsevier products and platforms. The organization develops foundational AI technologies that power experiences such as LeapSpace , Elsevier's AI-powered research assistant, as well as Elsevier's broader Search & AI Platform .The Platform Data Science organization works at the intersection of: Search and retrieval systems Generative AI and LLM applications AI evaluation and experimentation Semantic enrichment and knowledge systems Scalable AI platforms and intelligent workflows About the role: We are looking for a Senior Data Scientist I to help design, build, and evaluate advanced AI capabilities powering LeapSpace. This role will focus heavily on applied AI research and development , including prototyping intelligent workflows, integrating large language models with trusted scientific data, and advancing AI-assisted research experiences.You will work across retrieval systems, generative AI, reasoning workflows, evaluation frameworks, and AI experimentation , helping shape the future of AI-powered scientific discovery at Elsevier.This role is ideal for someone with strong hands-on experience in applied AI, NLP, retrieval systems, and LLM-based applications , who enjoys rapidly prototyping and translating emerging AI techniques into scalable product capabilities. Responsibilities: Applied AI & Research Lead prototyping and development of LLM-powered research workflows , including: + Scientific question answering + Literature summarization + Semantic exploration and discovery + Research insight generation + Citation-aware reasoning workflows Design and iterate on agentic and multi-step AI workflows using frameworks such as LangGraph and related orchestration tooling. Apply state-of-the-art techniques in: + NLP + Generative AI + Embeddings and semantic representations + Retrieval-augmented generation (RAG) + AI reasoning and orchestration Rapidly evaluate emerging AI models, tooling, and frameworks to identify opportunities for product innovation. Translate applied AI research into scalable, production-oriented solutions that improve researcher productivity and trust. Contribute to experimentation around prompt engineering, context management, grounding strategies, and hallucination mitigation. Support integration of scientific metadata, ontologies, and knowledge assets into AI workflows. Search, Retrieval & RAG Systems Design and optimize search and retrieval pipelines , including lexical, vector, and hybrid retrieval approaches. Develop and improve RAG systems that integrate LLMs with trusted scientific and biomedical content. Experiment with embeddings, re-ranking models, chunking strategies, and retrieval orchestration to improve relevance and answer quality. Build scalable workflows for semantic search and knowledge discovery. Collaborate closely with engineering teams to productionize AI and retrieval systems. AI Evaluation & Experimentation Develop and evolve evaluation frameworks for search and AI systems, including: + IR metrics (e.g., NDCG, recall, precision) + LLM and RAG evaluation metrics (e.g., grounding, faithfulness, hallucination detection) Design offline evaluation methodologies and contribute to online experimentation and A/B testing. Build and maintain evaluation datasets, benchmark suites, and annotation strategies. Drive rigorous experimentation to measure system improvements and user impact. Contribute to responsible AI practices, including quality, reliability, and trust evaluation. Cross-functional Leadership Partner with product managers, engineers, UX researchers, and domain experts to deliver impactful AI capabilities. Translate complex technical findings into actionable recommendations for stakeholders. Contribute to technical strategy and roadmap discussions for LeapSpace AI capabilities. Required qualifications Master's or PhD in Computer Science, Data Science, Machine Learning, NLP, Information Retrieval, or a related field Significant experience in applied AI, machine learning, NLP, or information retrieval Strong hands-on experience with: + LLM-based applications and generative AI systems + RAG pipelines and retrieval systems + Search and retrieval architectures (lexical, vector, hybrid) + Evaluation methodologies for IR and generative AI systems Advanced programming skills in Python Experience with modern AI/ML frameworks and tooling (e.g., PyTorch, Hugging Face, LangChain, LangGraph , Haystack) Experience working with Databricks or similar distributed data/ML platforms Strong understanding of experimentation design, evaluation frameworks, and statistical analysis Proficiency with data visualization and analytical tooling (e.g., Tableau, Power BI, matplotlib, seaborn) Requirements: Experience building AI assistants, agentic workflows, or conversational AI systems Experience working on large-scale search, ranking, or recommendation systems Familiarity with scientific, biomedical, or scholarly datasets Experience with knowledge graphs, ontologies, or semantic enrichment systems Exposure to production ML systems and MLOps practices Publications or applied research contributions in NLP, IR, search, or generative AI Experience building AI systems in regulated, high-trust, or content-rich domains Why join us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Flexible working hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. About the business: As a global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

Senior Software Engineer - Client Compliance Eligibility Location London Business Area Engineering and CTO Ref # Description & Requirements Who we are: Bloomberg is the market leader in business and financial information; delivering trusted data, news, and analytics with speed and accuracy. At the heart of global markets, Bloomberg powers trading across asset classes and geographies. Our technology connects data, analytics, and execution into a seamless ecosystem-enabling market participants to act with speed, precision, and insight. Behind every trade is a critical layer of technology that ensures it happens securely, compliantly, and with the right counterparties. Bloomberg's client compliance and eligibility platforms embed regulatory intelligence, real-time controls, and scalable validation frameworks directly into the trading workflow. Our compliance platform is where engineering meets market integrity-building resilient systems that safeguard global trading, enable trust at scale, and shape the future of responsible finance. Our Team: Client Eligibility team is part of wider Compliance Engineering group - a cross-functional organisation focused on supporting Bloomberg's Compliance initiatives and in particular Client Compliance applications. Our mission is to build a resilient and intelligent compliance platform that manages client eligibility, streamlines and automates complex workflows, and integrates seamlessly across Bloomberg systems to reduce risk and accelerate client access. To achieve this we build and support: Distributed Client Permissioning system processing millions of daily requests for client trading eligibility on Bloomberg operated trading systems and venues. Rule based product requirements system where complex eligibility rules are defined and enforced. Manage client due diligence process with full audit capabilities. What's in it for you: Hands on experience working on large scale distributed systems and complex workflows. Autonomy to design, build and deliver software solutions. Work with high caliber and experienced teams of engineers and management. Be challenged to come up with innovative solutions. Access to a wide variety of AI tools to augment your everyday working. Be supported in your career growth with a wide variety of training and opportunities. We will trust you to: Work closely with the full spectrum of our business partners to understand and solve the problems they have. Make data driven decisions about technology, architecture and platform you own. Write high quality code that integrates with our automated tested and release pipeline. Collaborate with other engineers across multiple functional areas. You'll need to have: No prior regulatory experience. BS, MS, or PhD in Computer Science, Engineering or related technology field or relevant boot camp experience. 5+ Years of Experience designing, developing, and releasing high quality software in Python or other object oriented languages. Experience with relational databases (PostgreSQL, MySQL etc). Relentless curiosity to learn and understand software and business. We'd love to see: Prior work with Microservices / Distributed architecture / complex workflows JavaScript/TypeScript experience. Experience with virtualization, containerization and orchestration tools (e.g. Openstack, Docker, Kubernetes). Experience with continuous integration, testing and deployment tools (e.g. Github, GitLab, Jenkins etc.). Our Culture: We're proud of our culture and collaboration sits at the centre of how we operate, you'll collaborate across teams and locations on a global scale, both virtually and in person. Engineers at Bloomberg actively shape the direction of our technology and products, helping drive innovation. The London office is a key technology hub along with the US head office. You will have the opportunity to be part of our global conference and initiatives often hosted in the London office. We employ a hybrid work model, which gives our engineers flexibility but also allows us to collaborate across teams. We're big advocates of getting together and sharing ideas, we hold regular internal and external tech, social and philanthropic events to strengthen our relationships with the local community. If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in class platform. We're seeking a Senior Data Engineer to work across the full stack of Anaplan AI applications. You will build transformative AI capabilities from the ground up, from model integration and prompt engineering to contributing to the technical direction for how we ingest, transform, store, serve, and govern the data that powers our LLM based and agentic systems. You will build user facing AI features that can be used in real time, directly impacting how businesses plan and make decisions. This role requires both a strong foundation in machine learning and excellent data engineering skills, offering a unique opportunity to grow at the intersection of AI and enterprise software. Your Impact Contribute to the data architecture, design, and deployment of scalable Generative AI and Machine Learning systems into production environments. Develop end to end GenAI features, including backend API services, model integration, model monitoring, evaluations, and deployments. Integrate and optimise LLMs for specific use cases in business planning, including prompt engineering and RAG implementation. Design and build the retrieval and knowledge layer powering our RAG and agentic workloads, such as vector databases, graph databases, knowledge graphs, hybrid search, and embedding pipelines. Help design the knowledge graph that captures the semantics of customer models, metrics, hierarchies, and relationships. Build the data plane for evaluation and continuous improvement, working with cutting edge conversational and agentic AI technologies. Engineer the feature and context pipelines that feed forecasting and anomaly detection models at customer scale, balancing batch and streaming patterns. Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics. Your Skills Extensive data engineering experience with a track record of delivering complex projects. Hands on experience building and shipping AI/ML products in production. Practical experience with LLM based systems: RAG architectures, embedding pipelines, prompt and response logging, and evaluation frameworks. Hands on expertise with vector databases, graph databases, and knowledge graphs. End to end exposure to the model development lifecycle, including experience training and deploying ML models in production environments. Solid knowledge of LLM APIs, prompt engineering, and conversational AI patterns. Strong expertise in MLOps and LLMOps, ensuring scalable, reliable, and monitorable model deployments. Proficiency in Python and modern software development practices (testing, code review, CI/CD). Hands on experience with cloud native ML infrastructure platforms. Knowledge of vector databases (e.g., Pinecone, Weaviate, Qdrant) and embedding models. Experience with model serving frameworks (e.g., vLLM, TensorRT, Ray). Background in forecasting, planning, or analytics applications. Experience with A/B testing and experimentation frameworks for AI features. Experience with model observability tools (e.g., LangSmith, W&B, MLflow). Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.

The Company Capital Markets Gateway LLC (CMG) is a capital markets focused fintech transforming global equity capital markets (ECM) through data, technology, and connectivity. We are the preferred source for ECM analytics and the first network connecting the buy side and sell side for ECM workflows. Founded in 2017 by a team of ECM practitioners, CMG has completed three successful fundraising rounds and is backed by a group of the world's most prestigious financial institutions. The CMG platform is currently relied upon by nearly 150 buy side firms representing $40 trillion in AUM and 22 global investment banks. For more information, please visit . The Role We're looking for a Platform Engineer to help drive our DevOps, infrastructure, reliability, and tooling initiatives. In this role, you'll join a team responsible for building and maintaining enterprise scale cloud infrastructure that supports microservices and cloud native applications running on Kubernetes. You'll have the opportunity to shape and influence new solutions that improve system reliability, scalability, and operational efficiency, helping ensure our technology runs smoothly and remains highly available for our customers. Our Engineering Team The CMG engineering team consists of domain experts who work collaboratively within a culture of cross domain knowledge sharing. We value engineers who are passionate about modern technologies and best practices. Our engineers are encouraged to challenge the status quo and are constantly seeking improvement and efficiency in our code base and platform. CMG engineers are empowered to explore solutions using bleeding edge technologies such as AI and bring recommendations to the table. We are in a period of making impactful engineering decisions. As part of our process, we believe in taking the time for research and prototyping-this is critical in making the right decisions. Given the experience of our team, we have naturally adopted best practices from local development, through code review, and into production rollouts. Besides the standard pull requests, test automation, code coverage tracking, containerization, and one click deployments, we are constantly reviewing these foundational components to develop new best practices. Responsibilities Design and implement tools and technologies to provision and configure an enterprise software system hosted in Kubernetes Design and implement architecture and networking solutions within Azure Automate/script existing processes using languages such as python and bash Provision, configure, and maintain cloud resources using Terraform and Terragrunt Actively monitor the application environment and respond to incidents Conduct root cause analysis for production incidents Oversee cloud infrastructure and recommend any potential improvements to technology or process Contribute to team planning to solve engineering challenges Be a dependable and highly skilled development resource for peers through education and review Have a broad awareness of related projects and industry trends, and encourage innovative practices among peers Provide detailed feedback and suggestions to team code reviews Document and demonstrate solutions through written documentation, diagrams, and readable code Qualifications Kubernetes Container Orchestration, Docker: 3+ years Azure cloud infrastructure: 3+ years Experience with system monitoring and alerting. Data driven system improvements using DataDog and/or Grafana: 3+ years Experience supporting, configuring, deploying RabbitMQ, Redis, PostgreSQL, Elasticsearch: 3+ years Experience with CI/CD tools: Github Actions, ArgoCD or Harness: 3+ years Experience supporting customer facing web delivered software: 3+ years Working knowledge of UNIX/Linux Bash and Python experience Excellent communication skills in English Our Tech Stack Azure asan infrastructureprovider. Docker + Kubernetes for microservice orchestration using Istio service mesh PostgreSQL for relational db, ElasticSearch for indexing, Redis for caching DataDog, Grafana and OpenTelemetry for observability GitHub for our Version Control and CI (with our own runners) CD: Harness and FluxCD Terraform and Terragrunt as IaaC Python and bash for scripting infrastructure React - We're all in on React - we maintain multiple single page React apps written in TypeScript Latest .NET version for our backend services GraphQL - Our standard for API communication is GraphQL served by our DotNet Back End Our Values We innovate with purpose We focus on outcomes vs. output We believe diverse and inclusive teams fuel innovation We are humble yet candid We do right by the customer What We Offer Equity Unlimited PTO (28 days including bank holidays + unlimited additional paid leave) Comprehensive benefits program managed by Globalization Partners Premium life and income protection Top private medical and dental insurance Employee Assistance Program (EAP) Pension contributions Hybrid work environment (initially remote until office setup is complete) Education reimbursement Continuous learning opportunities Employee referral bonus Parental leave Equal Opportunity Employer CMG embraces our ongoing commitment to building a culture reflecting the people, perspectives, and passions it represents. We will accept nothing less than equity, inclusion, and belonging for all. With the only constant in life being change, we will always listen, learn, and improve for the betterment of our teams, customers, and communities. CMG is proud to be an Equal Opportunity Employer.

Senior Data Engineer role within Aiviq Engineering Team. London, Hybrid Full time Aiviq is a fintech company transforming how asset managers globally process, analyse, and leverage their data. Our solutions power critical business processes for leading financial institutions worldwide, helping them drive efficiency and growth. Position Overview We're seeking an accomplished Data Engineer to join our Data Centre of Excellence while working closely with our Engineering team on our sophisticated financial data management platform. This role combines the technical depth of enterprise data engineering with the fast-paced delivery demands of product development, requiring someone who is adept at translating business logic into code, can think architecturally while attending to implementation details. You'll be the bridge between our data architecture standards and practical product delivery, ensuring our financial data pipelines are robust, performant, and built on solid engineering principles. Core Responsibilities Design, build, and optimise data pipelines across Microsoft SQL Server and Azure Synapse Analytics environments Develop and maintain Spark SQL notebooks for complex data transformations and analysis Translate business logic and financial calculation requirements into clear, maintainable code Create data integrity checking scripts and validation frameworks in collaboration with QA teams Implement automated data quality checks and reconciliation processes Assist with the maintenance of a curated, anonymised dataset for system testing that covers all known scenarios and edge cases Analyse production datasets to identify anomalies, debug stored procedures and notebooks, and resolve data quality issues Demonstrate tenacity in investigating root causes, diving deep into complex problems until resolution is achieved Consult on database architecture decisions, balancing performance, scalability, and maintainability Optimise query performance and data processing workflows for large-scale financial datasets Design and implement solutions using Azure Data Factory, Delta Lake, and related technologies Think end-to-end about data flows while ensuring rigorous attention to implementation details Documentation & Process Create and maintain comprehensive documentation of database schemas, processes, and data flows Develop visual process models using tools such as Lucidchart, Visio, dbt, Azure Purview, or similar platforms Document data transformation logic and calculation methodologies for audit and compliance purposes Contribute to data governance standards and best practices across the organisation Act as first point of escalation for high-priority data issues in production environments Partner with test automation engineers to develop data-driven testing strategies and create data integrity checking scripts Collaborate across engineering teams using Azure DevOps for CI/CD pipeline development Support both Data CoE initiatives and product engineering priorities through effective stakeholder management Required Skills & Experience Technical Expertise Database Technologies: Strong proficiency in MS SQL Server and Azure Synapse Analytics Big Data Processing: Hands on experience with PySpark, Spark SQL, and notebook based development Cloud Platforms: Demonstrable experience with Azure ecosystem (Synapse, Data Factory, Delta Lake) Programming: Solid coding skills in SQL, Python, and/or C# Version Control: Experience with Git and Azure DevOps or similar CI/CD platforms Testing: Experience building out unit and integration test frameworks and processes to ensure pipelines and notebooks and other code artifacts are fully automation tested Domain Knowledge Ideally a proven track record working with complex financial data and calculations Understanding of financial data structures, reconciliation processes, and audit requirements Experience handling temporal data, slowly changing dimensions, and historical data management Knowledge of data quality frameworks and validation methodologies Professional Capabilities Strong analytical and debugging skills for complex data scenarios across stored procedures and notebooks Relentless problem solving approach - comfortable digging deep into technical issues and pursuing answers until problems are fully understood and resolved Experience with testing principles and data integrity validation Ability to consult on technical architecture while maintaining pragmatic focus Excellent documentation and process modelling capabilities Experience Level 5+ years in data engineering roles with increasing responsibility Track record of delivering production data systems at scale Experience working in matrix or cross functional team structures Knowledge of Azure Purview or data cataloguing solutions Familiarity with Great Expectations or similar data quality frameworks Familiarity with data anonymisation, masking, and synthetic data generation techniques Experience with GraphQL APIs and modern application data layers Exposure to modern data visualisation tools (Power BI, Tableau) Experience with data build tool (dbt) or similar transformation frameworks Personal Attributes Collaborative mindset: Comfortable working across teams with different priorities and technical backgrounds Detail oriented: Meticulous about data accuracy while maintaining delivery momentum Investigative nature: Thrives on troubleshooting complex issues and pursuing problems through multiple layers until fully resolved Intensely curious: Demonstrates deep curiosity about existing processes and systems, with a natural drive to investigate how things work and independently acquire new knowledge Pragmatic problem solver: Balances architectural thinking with practical implementation Clear communicator: Articulates technical concepts to both specialist and generalist audiences Ownership mentality: Takes responsibility for production systems and follows through on commitments Cultural Fit Thrives in a matrix organization with multiple stakeholders Comfortable with ambiguity and competing priorities Passionate about engineering excellence and continuous improvement Values documentation and knowledge sharing Responds well under pressure during production incidents What We Offer Professional Development Exposure to enterprise scale financial data systems handling complex calculations Opportunity to shape data engineering standards across the organisation Work with modern Azure cloud infrastructure and emerging technologies Collaborate with skilled engineers across test automation, software development, and data teams Matrix structure providing diverse learning opportunities from both CoE and product perspectives Hybrid working arrangement with flexibility Collaborative engineering culture valuing quality and craftsmanship Investment in tools, training, and professional growth Meaningful work on systems that impact financial data integrity and business decisions Aiviq is an equal opportunity employer and values diversity in our workforce. This role will be located in London although we are a hybrid team with frequent remote working and broader flexible working options available.

Senior Data Engineer role within Aiviq Engineering Team. London, Hybrid / Full time Aiviq is a fintech company transforming how asset managers globally process, analyse, and leverage their data. Our solutions power critical business processes for leading financial institutions worldwide, helping them drive efficiency and growth. Position Overview We're seeking an accomplished Data Engineer to join our Data Centre of Excellence while working closely with our Engineering team on our sophisticated financial data management platform. This role combines the technical depth of enterprise data engineering with the fast-paced delivery demands of product development, requiring someone who is adept at translating business logic into code, can think architecturally while attending to implementation details. You'll be the bridge between our data architecture standards and practical product delivery, ensuring our financial data pipelines are robust, performant, and built on solid engineering principles. Core Responsibilities Design, build, and optimise data pipelines across Microsoft SQL Server and Azure Synapse Analytics environments Develop and maintain Spark SQL notebooks for complex data transformations and analysis Translate business logic and financial calculation requirements into clear, maintainable code Create data integrity checking scripts and validation frameworks in collaboration with QA teams Implement automated data quality checks and reconciliation processes Assist with the maintenance of a curated, anonymised dataset for system testing that covers all known scenarios and edge cases Analyse production datasets to identify anomalies, debug stored procedures and notebooks, and resolve data quality issues Demonstrate tenacity in investigating root causes, diving deep into complex problems until resolution is achieved Consult on database architecture decisions, balancing performance, scalability, and maintainability Optimise query performance and data processing workflows for large-scale financial datasets Design and implement solutions using Azure Data Factory, Delta Lake, and related technologies Think end-to-end about data flows while ensuring rigorous attention to implementation details Documentation & Process Create and maintain comprehensive documentation of database schemas, processes, and data flows Develop visual process models using tools such as Lucidchart, Visio, dbt, Azure Purview, or similar platforms Document data transformation logic and calculation methodologies for audit and compliance purposes Contribute to data governance standards and best practices across the organisation Act as first point of escalation for high-priority data issues in production environments Partner with test automation engineers to develop data-driven testing strategies and create data integrity checking scripts Collaborate across engineering teams using Azure DevOps for CI/CD pipeline development Support both Data CoE initiatives and product engineering priorities through effective stakeholder management Required Skills & Experience Technical Expertise Database Technologies: Strong proficiency in MS SQL Server and Azure Synapse Analytics Big Data Processing: Hands-on experience with PySpark, Spark SQL, and notebook-based development Cloud Platforms: Demonstrable experience with Azure ecosystem (Synapse, Data Factory, Delta Lake) Programming: Solid coding skills in SQL, Python, and/or C# Version Control: Experience with Git and Azure DevOps or similar CI/CD platforms Testing: Experience building out unit and integration test frameworks and processes to ensure pipelines and notebooks and other code artefacts are fully automation-tested Domain Knowledge Ideally a proven track record working with complex financial data and calculations Understanding of financial data structures, reconciliation processes, and audit requirements Experience handling temporal data, slowly changing dimensions, and historical data management Knowledge of data quality frameworks and validation methodologies Professional Capabilities Strong analytical and debugging skills for complex data scenarios across stored procedures and notebooks Relentless problem-solving approach - comfortable digging deep into technical issues and pursuing answers until problems are fully understood and resolved Experience with testing principles and data integrity validation Ability to consult on technical architecture while maintaining pragmatic focus Excellent documentation and process modelling capabilities Experience Level 5+ years in data engineering roles with increasing responsibility Track record of delivering production data systems at scale Experience working in matrix or cross-functional team structures Knowledge of Azure Purview or data cataloguing solutions Familiarity with Great Expectations or similar data quality frameworks Familiarity with data anonymisation, masking, and synthetic data generation techniques Experience with GraphQL APIs and modern application data layers Exposure to modern data visualisation tools (Power BI, Tableau) Experience with data build tool (dbt) or similar transformation frameworks Personal Attributes Collaborative mindset: Comfortable working across teams with different priorities and technical backgrounds Detail-oriented: Meticulous about data accuracy while maintaining delivery momentum Investigative nature: Thrives on troubleshooting complex issues and pursuing problems through multiple layers until fully resolved Intensely curious: Demonstrates deep curiosity about existing processes and systems, with a natural drive to investigate how things work and independently acquire new knowledge Pragmatic problem-solver: Balances architectural thinking with practical implementation Clear communicator: Articulates technical concepts to both specialist and generalist audiences Ownership mentality : Takes responsibility for production systems and follows through on commitments Cultural Fit Thrives in a matrix organization with multiple stakeholders Comfortable with ambiguity and competing priorities Passionate about engineering excellence and continuous improvement Values documentation and knowledge sharing Responds well under pressure during production incidents What We Offer Professional Development Exposure to enterprise-scale financial data systems handling complex calculations Opportunity to shape data engineering standards across the organisation Work with modern Azure cloud infrastructure and emerging technologies Collaborate with skilled engineers across test automation, software development, and data teams Matrix structure providing diverse learning opportunities from both CoE and product perspectives Hybrid working arrangement with flexibility Collaborative engineering culture valuing quality and craftsmanship Investment in tools, training, and professional growth Meaningful work on systems that impact financial data integrity and business decisions Aiviq is an equal opportunity employer and values diversity in our workforce. This role will be located in London although we are a hybrid team with frequent remote working and broader flexible working options available.

About the Role The data engineering team is on a mission to create a hyper scale data lake, which helps find bad actors and stop breaches. The team builds and operates systems to centralize all of the data the Falcon platform collects, making it easy for internal and external customers to transform and access the data for analytics, machine learning, and threat hunting. As an engineer on the team you will contribute to the full spectrum of our systems, from foundational processing and data storage, through scalable pipelines, to frameworks, tools and applications that make that data available to other teams and systems. What You'll Do Design, develop, and maintain a data platform that processes petabytes of data. Participate in technical reviews of our products and help us develop new features and enhance stability. Continuously help us improve the efficiency of our services so that we can delight our customers. Help us research and implement new ways for both internal stakeholders as well as customers to query their data efficiently and extract results in the format they desire. What You'll Need Degree in Computer Science (or professional experience in data structures, algorithms, and distributed systems). 5+ years' experience combined between backend/cloud development and data platform engineering roles. A solid understanding of algorithms, distributed systems design, and the software development lifecycle. Solid background in Java or Scala and a scripting language such as Python. Experience building large scale data pipelines. Strong familiarity with the Apache Hadoop ecosystem: Spark, Kafka, Flink, Iceberg, Delta Lake, Hive, Presto, Trino, etc. Experience with relational SQL and NoSQL databases, including Postgres, MySQL, Cassandra, DynamoDB. Good test driven development discipline. Reasonable proficiency with Linux administration tools. Proven ability to work effectively with remote teams. Experience with the following tools is desirable: Go, Kubernetes, Jenkins, Parquet, Protocol Buffers, gRPC. Benefits of Working at CrowdStrike Market leader in compensation and equity awards. Comprehensive physical and mental wellness programs. Competitive vacation and holidays for recharge. Paid parental and adoption leaves. Professional development opportunities for all employees regardless of level or role. Employee networks, geographic neighborhood groups, and volunteer opportunities to build connections. Vibrant office culture with world class amenities. Great Place to Work Certified across the globe. CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions-including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay offs, return from lay off, terminations and social/recreational programs-on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at for further assistance.

Manager, Senior Platform Software Engineer London, United Kingdom Baringa is a global consulting firm that partners with leaders to drive change and create value. With deep industry expertise, and enabled by advanced technology, the firm helps clients to deliver with greater confidence and certainty. With over 2,000 people across the UK, Europe, North America, Asia and Australia, the firm combines global insight with local understanding. The firm works across energy and resources, financial services, government and public sector, consumer products and retail, pharmaceuticals and life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence - all powered by advanced technology, data, AI and digital innovation. Clients value Baringa's collaborative approach and the way its teams integrate seamlessly - all working with a shared understanding of what matters most. The firm is known for its kind, curious experts who listen closely and care deeply about client success as they help clients transform energy markets, modernise financial platforms, expand telecoms and digital networks through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors. Certified as a Great Place to Work around the world, Baringa has been recognised by the Financial Times in 22 categories of its UK Leading Management Consultants rankings, and by Forbes for four consecutive years as one of the World's Best Management Consulting Firms. Our Energy Products Practice is looking for an experienced (job title/level) to join the team. Baringa are world leaders in modelling energy markets and using the insights generated through these models to drive change in a decarbonising energy industry. The Energy Products practice specialises in the development and innovation of our analytical models and supporting technology ecosystem underpinned by our deep expertise in the energy markets. Our staff come from diverse backgrounds, based across multiple geographies, and building models that utilise highly varied data sources - everything from kilobytes of academic papers to terabytes of hourly scenario projections for 50+ years. They need rapid access to data, analytics outputs, and highly scalable data processing infrastructure. Our scale and model complexity has reached a point that to continue to achieve our business vision, we are building a dedicated global Data and Processing Platform team. Come and join us to be part of the energy transition, the defining challenge of our lifetimes, where your technical skills and experience can have real impact. What you will be doing You will help shape the design, implementation and ongoing support of a greenfield Data and Processing Platform and its supporting software products. You will support the Engineering Lead to engage with internal developers, energy system modellers, client-facing energy experts, and users across the business to build capabilities that enable them to work more effectively and better serve our clients. You will help drive engineering best practices, ensuring that quality, reliability and observability are built into our products from inception. You will design and implement robust CI/CD automation flows, continually evolving our processes to improve the engineering experience for ourselves and the teams we support. You will take an active role in all stages of the team's agile development approach, from refinement through to delivery, supporting the iterative improvement of our team processes. Your skills and experience You are passionate about building the 'right' solution to problems, with a desire to understand the problems at their core and 'why' a solution is fit for purpose. You will have practical experience as a senior engineer in high-performing engineering teams, collaborating closely with colleagues and taking pride in what you create. You are strong at solving complex problems and can flexibly consider different technologies/engineering approaches to achieve this. You have advanced working knowledge of a general programming language (e.g. Python, Java, C#, Typescript etc.) and understand both domain modelling and application programming. You have working knowledge of data management technologies (SQL, NoSQL, Databricks etc.). You have working knowledge of modern software engineering tools (Git, CI/CD pipelines), cloud technologies (e.g. AWS, Azure) and Infrastructure as Code (e.g. Terraform, Pulumi). You have worked across the technology stack with experience of established frameworks (e.g. React/Angular/Vue/Blazor frontends and/or FastAPI/SpringBoot/.NET backends). You have experience building and supporting different architectural approaches and are confident in justifying your technology and architectural choices. You are passionate about communicating complex concepts succinctly to both technical and non-technical audiences to reach a common understanding. You have experience working with agile methodologies (e.g. Scrum/Kanban), with an understanding of the key principles that underpin their effective use. We've seen research that says some candidates will not apply to a role if they don't meet every requirement, but please do not let this put you off. If you think you are a good overall match please do get in touch - we look carefully at all applications, and you may well be our ideal candidate. What a career at Baringa will give you Putting People First. Baringa is a People First company and wellbeing is at the forefront of our culture. We recognise the importance of work-life balance and flexible working and provide our staff with amazing benefits. Some of these benefits include: Generous Annual Leave Policy: We recognise everyone needs a well-deserved break. We provide our employees with 5 weeks of annual leave, fully available at the start of each year. In addition to this, we have introduced our 5-Year Recharge benefit which allows all employees an additional 2 weeks of paid leave after 5 years continuous service. Flexible Working: We know that the 'ideal' work-life balance will vary from person to person and change at different stages of our working lives. To accommodate this, we have implemented a hybrid working policy and introduced more flexibility around taking unpaid leave. Corporate Responsibility Days: Our world is important to us, so all our employees get 3 every year to help social and environmental causes and increase our impact on the communities that mean the most to us. Wellbeing Fund: We want to encourage all employees to take charge and prioritise their own wellbeing. We've introduced our annual People Fund to support this by offering every individual a fund to support and manage their wellbeing through an activity of their choice. Profit Share Scheme: All employees participate in the Baringa Group Profit Share Scheme so everyone has a stake in the company's success. Diversity and Inclusion We are proud to be an Equal Opportunity Employer. We believe that creating an environment where everyone feels a sense of belonging is central to our culture and that diversity is paramount to driving creativity, innovation, and value for our clients and for our people. You can be a part of our 'Great Place to Work' - with our commitment to women and well-being in the workplace for all. Click here to see some of our recent awards and how we've achieved this. Using business as a force for good. We maintain high standards of environmental performance and transparency, which can be seen through our commitment to Net Zero with our SBTI-verified Scope 1, 2 and 3 emissions reduction targets and our support of the Better Business Act. We report our progress publicly and ensure that we are also externally assessed and scored through organisations like CDP and EcoVadis - helping us to continually identify where we can improve. We have a long legacy of supporting the communities in which we work, and offer a variety of ways to contribute, by putting people first and creating impact that lasts. Our Corporate Social Responsibility (CSR) agenda is about giving back to the communities in which we live and work by sharing our skills, talent and time. In essence, we aim to empower and encourage everyone in the firm to contribute to the things we care about, and support registered charities and organisations with a clear social or environmental purpose to increase the positive impact they can have. All applications received will be reviewed by a member of our Talent Acquisition team. We never rely solely on automated screening or AI tools to make hiring decisions. Your application will be considered for employment without regard to race, ethnicity, religion, gender, gender identity or expression, sexual orientation, nationality, disability, age, faith or social background. We do not filter applications by university background and encourage those who have taken alternative educational and career paths to apply. We would like to actively encourage applications from those who identify with less represented and minority groups. We operate an inclusive recruitment process, ensuring reasonable adjustments where needed. Please contact a member of our Recruitment Team to discuss further.

Senior AWS Backend Engineer Remote/Hybrid - TBC - International company with core hour requirements Full-time TelmarHelixa: Where AI Meets Audience Insight and Media Planning Intelligence At TelmarHelixa, we don't just analyze data-we unlock the potential behind it. We're the fusion of Telmar, a pioneer in global insights and media planning, and Helixa, a cutting-edge AI platform that turns billions of digital signals into real, actionable audience intelligence. We empower brands, agencies, and media platforms globally to discover, understand, and reach the people who matter most-through an integrated platform that combines traditional research, psychographics, social behavior, and media strategy. Why Work With Us? Tech with Purpose: AI and next-gen data tools to uncover deep audience insights that fuels analysis, research and planning globally. Global Impact: Influence marketing and media decisions for world-renowned brands and media agencies. Smart, Driven Team: Work alongside thinkers, builders, and data storytellers who are redefining what data intelligence looks like. Fast-Paced Innovation: We're agile, future-focused, and constantly evolving-just like the audiences we analyze. Job Overview In this role, you will be responsible for designing and delivering backend statistical calculation models and data solutions that are delivered via an API first implementation. You will play a key role in making critical decisions and mitigating technical risks, ensuring that solutions leverage the agreed-upon technical architecture and development methodologies. A strong statistical or mathematical background is necessary for the content matter. Working in a globally distributed environment across multiple platforms, including Amazon Web Services (AWS), you will collaborate closely with teams (whilst predominantly working remotely) to enhance and advance our data engineering and application solutions. As a motivated self-starter with a strong technical background especially in AWS, you will bring a passion for solving complex architectural challenges and a genuine enthusiasm for technical leadership. Dominant technologies/methodologies Python (Numpy), C#, C++ Native AWS (Amazon Web Services) eg. Lambda, Cognito, S3, CloudFront, Elastic Search, Athena Api first Big data Responsibilities Architect and develop backend solutions in AWS lambdas which conform to R&D specified calculations. Be able to understand most statistical calculations in order to debug and troubleshoot code. Collaborate with product and engineering teams to architect solutions that provide stability, security, and scalability, ie. Code optimisation, deployment processes. Continuously improve tooling, methodologies, processes, and technologies to stay at the forefront of best practices and innovation. Develop technical specifications focused on system integration, feasibility, performance, and sustainability. Document and communicate concepts clearly, providing technical guidance and coaching to engineering teams as needed. Regularly collaborate with senior stakeholders to define strategic direction and ensure developments align to the strategic roadmap. Identify technical problems proactively and translate them into non-technical descriptions for broader business understanding. Conduct structured analysis of technical issues and translate findings into actionable design solutions. Test deliverables to ensure they meet architectural, data, and engineering specifications. Help improve and troubleshoot processes from data engineering to application development to ensure our methods are cost effective, easy to adopt and ready to scale. Qualifications and Experience Formal qualification in statistics, data analytics or mathematics 3+ years in Python, C++, C#, (MatLab, Octave is an advantage) 3+ years as an AWS backend and data Developer in Saas environment Detailed AWS knowledge and working experience with associated accreditation Thorough understanding of RESTful APIs and an API first approach Able to anticipate and advise on future technology changes that present opportunities Database design experience Experience with CI / CD tooling and processes Experience of working with Salesforce would also be beneficial. Personal attributes Excellent problem-solving skills with an analytical mindset. Proven ability to work effectively in a remote working environment. Experience supporting and working with cross-functional teams. Outstanding communication skills (written and verbal communication skills). Strong interpersonal skills and the ability to work proactively, independently, and as a team player. Eagerness and willingness to learn new technologies. Has lateral thinking capability to dissect a problem to its component parts to identify and diagnose root causes. Able to troubleshoot and identify problems across different technology capabilities. Benefits Competitive salary and benefits package Chance to make a real impact on the company's growth and success Work in a fun and collaborative environment

Senior Engineer Location: Waterloo, London, England, UK Hybrid(1 day per week in office) Who We Are At 8th Light, we bring life to the best ideas. Founded in 2006 and headquartered in Chicago, we are a technology solutions provider that partners with organizations to solve meaningful challenges and drive sustainable growth. From early stage startups to global enterprises, we work across industries to optimise our clients' digital products through product strategy innovation, experiential design, AI solutions, and deep engineering expertise. Our commitment to quality means we deliver solutions we're truly proud of, while our curiosity sparks innovation and breakthrough thinking. 8th Lights thrive in an environment that champions continuous education, fueling our growth through mentorship and hands on work. We foster an open and collaborative culture grounded in honesty that builds trust, and believe true success is measured by the outcomes we create for our clients. If this kind of work and our kind of people energizes you, you've found the right place. Who You Are You've shown repeated success on a variety of projects, typically over the course of 4+ years. You have a broad range of expertise that allows you to make an immediate impact on projects. In your previous experience, you have: Successfully contributed to high stakes consulting engagements from discovery to production Written production quality code using a variety of languages and frameworks, that include: Python, Java, JavaScript, TypeScript, React, Ruby, Scala, R, SQL, and Go Built high quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs of the clients you've served Leveraged AI assistive development tools for tasks like scaffolding, refactoring, debugging, test generation, and documentation, where appropriate Experience building or integrating AI/ML powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) Used context appropriate automated testing to inform software design choices and catch bugs Debugged and refactored pre existing code to incrementally improve it Collaborated with teams using Git, MacOS/Linux, and CI/CD Remedied architecture level concerns such as scalability, security, reliability, and performance Contributed to forums that encourage idea sharing, collaboration, and problem solving Made thoughtful recommendations and set direction in the face of ambiguity Mentored and shared knowledge with colleagues Actively sought out and effectively given feedback Communicated empathically with stakeholders and colleagues Influenced stakeholders to balance technical considerations with product and user needs What You'll Do At 8th Light As a senior technologist on projects, you'll work with a variety of clients, typically one to two in a year, through a variety of technologies and frameworks over the course of your career with us. You'll work with colleagues who share your passion for technology solutions. You'll invest time developing your skills and sharing what you know. You'll be responsible for: Making immediate contributions to projects, rapidly building trust with your clients and team Working pragmatically to balance technology choices while delivering high-quality work within deadlines Contributing to architecture and software design discussions Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring Generating new potential solutions to challenges (technical and non technical) in partnership with team members and clients Contributing to formal feedback conversations with teams and clients via retrospectives Clearly articulating and documenting outcomes and driving forward action items Regular syncs with your delivery team to provide status updates, and for identifying and evaluating risks and presenting potential solutions Identifying, mitigating, and resolving blockers to team progress Pursuing opportunities to further your skills to grow your career and keep pace with the rapid changes within the technology industry Contributing to your team culture by building connections with your fellow 8th Lights, showing up on camera, and leveraging collaboration opportunities, such as coworking spaces and local team gatherings, where appropriate Strongly Preferred Skills We work across many areas, and encourage anyone with the experience listed above to apply. We would particularly like to encourage applicants with experience in the following areas: MLOps: including tools like LangChain for application development and managing the ML lifecycle Data Engineering: including platforms like Databricks for data processing and analytics DevSecOps & DevOps Infrastructure as Code Building a truly diverse, equitable, and inclusive workplace is an ongoing journey, and we're excited to keep learning and growing together. We have a proud tradition of hiring talented colleagues with real-world career experiences. How You'll be Supported At 8th Light, we believe our people are our greatest asset. Their growth, well being, and success shape our future. Our wellness package is designed with the Whole YOU in mind and includes: A robust L&D programme featuring unlimited access to thousands of books, courses, and expert led training on the O'Reilly learning platform. Coworking support for our global team 12 weeks of new parent leave available for eligible employees Transparent semi annual promotion panel See our full list of Benefits. A Note on Compensation At 8th Light, we are committed to a compensation philosophy that is transparent, fair, and helps us attract and retain top talent in alignment with our company's strategic growth goals and clients' needs. We benchmark our salaries using Geographic Structures to establish competitive pay ranges within the regions where 8th Lights live. Our pay ranges for our Senior Engineer position within London is: £56,640-£70,800 GBP. Reach out to for more relevant information pertaining to your local market. 8th Light Hubs and Geographies 8th Light's culture is rooted in strong connections that extend across our teams, regions, and beyond client work. We are a distributed team across the United States, Canada, and the United Kingdom, with hubs in Chicago, London, Los Angeles, New York, and Seattle. London Co working: Employees working from our London hub follow a hybrid model, which includes a minimum of one day per week in our Waterloo Office. This co working day is designed to encourage collaboration and further strengthen our community. In most cases, our consulting engagements do not require travel. We hope to see you apply!