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The Opportunity: A rapidly scaling, technology-driven organisation at the intersection of data, finance and advanced analytics is seeking an Investment Data Analyst to join its high-performing team in Newcastle upon Tyne. Formed as a joint venture between a global consulting firm and a leading hedge fund, the business has grown from 0 to more than 150 people in just over two years, attracting exceptional talent from across the UK and internationally. With a clear ambition to build a centre of excellence in the North East, this is a unique opportunity to work within a hedge fund environment—without relocating to London—while contributing to complex, real-world investment challenges. The Role: As an Investment Data Analyst, you will play a key role in managing, analysing and enhancing financial data that underpins investment decision-making. Working closely with trading teams, quants and investment desks, you will transform raw data into meaningful insights, ensuring quality, consistency and usability across the platform. This is a highly collaborative and analytical position, combining technical data skills with a strong understanding of financial markets. You will sit at the intersection of data, technology and investment, helping to shape how data is used across the business. Key Responsibilities Manage and curate raw data from external vendors and across the financial ecosystem. Partner with trading teams and investment specialists to deliver insights, analysis and visualisations. Identify gaps in data coverage and work collaboratively to resolve them. Ensure data quality, consistency and completeness across all systems. Develop and maintain documentation, including data dictionaries and definitions. Work alongside Data Engineers and technology teams to enhance data platforms and processes. Stay current with industry trends, data vendors and evolving tooling. About You: We are looking for a detail-oriented, intellectually curious individual with a passion for financial data and its application in investment management. You will thrive in a fast-paced, high-performance environment and enjoy working collaboratively to solve complex problems. You are likely to bring: • A strong academic background, including a 2:1 (or above) from a leading university and excellent A-Level results (or equivalents)., • A demonstrable interest in financial markets and investment management., • Strong technical capability in Python and SQL., • Experience in data analysis, including visualisation and exploratory techniques., • A detail-focused approach with the ability to interrogate and validate complex data., • Excellent communication skills, with the ability to translate technical concepts to non-technical stakeholders., • A proactive mindset, strong ownership and a desire to continuously learn and improve. Desirable: Experience working within financial services or investment environments. Familiarity with financial data vendors and data sourcing techniques.

HR Operations Analyst I am currently supporting a global leader within the financial services software consultancy sector who are looking for a HR Operations Analyst to join the team on a permanent basis. Salary and package: • Between £45,000 - £55,000 PA, • 25 days holiday, • 10% target bonus - No upper threshold, • Private health care (Bupa), • Pension – we match 5%+5% and 6%+6%, • Life Assurance Location: Based in Ne... ZIPC1_UKTJ

Reward Consultant True Potential Newcastle: on a hybrid basis with flexibility (time in office every 2-3 weeks approx) We’re delighted to be partnering with True Potential, a leading UK Financial Services organisation, on the hire of a newly created Reward Consultant role. A fantastic opportunity for someone to join an outstanding business based in the North-East. True Potential is an innovative & exciting business who provide financial advice, investment solutions, and technology-enabled wealth management services to over 500,000 clients. They combine regulated financial advice with proprietary technology to help clients achieve long-term financial goals. This is a highly entrepreneurial, fast-paced environment where the people function is currently undergoing growth and transformation. The Opportunity The Reward Consultant will sit within a newly established Reward function and report directly to the Head of Reward & Policy. The function is currently being built from the ground up, meaning there is a great opportunity to support with the design and implementation of a new reward framework end-to-end. Key Responsibilities: • Building salary benchmarking frameworks and first-generation pay structures, • Designing and implementing annual and variable pay processes in partnership with Finance, • Supporting Gender Pay Gap reporting and developing long-term pay equity strategy, • Preparing Reward papers and analysis for Remuneration Committee governance, • Supporting FCA-aligned regulatory remuneration requirements, including deferral calculations, • Overseeing benefits administration, • Partnering with the HR Business Partners to embed reward frameworks across the organisation, • Working closely with the Reward & People Data Analyst on data modelling and reporting, • Contributing to broader People initiatives as the function develops About You We are looking for a Reward professional who is comfortable working in a fast-moving, evolving environment and enjoys building structure in a green field environment. You will likely bring: • Around 4–8 years’ experience in Reward (Manager, Senior Analyst or Reward Partner level), • Experience within financial services or a regulated environment (or closely aligned sector experience such as fintech, insurance, or professional services), • Strong understanding of core reward principles (benchmarking, pay structures, annual reward cycles), • Experience partnering with HR and Finance stakeholders, • Good working knowledge of governance or regulatory frameworks (FCA exposure beneficial) What This Role Offers This is a unique opportunity to support the build of a Reward function from scratch in a highly collaborative and hands on role. Key aspects include: • A true blank-canvas reward environment with end-to-end ownership potential, • Significant exposure to senior stakeholders and governance processes, • Clear progression pathway into broader People leadership and RemCo exposure over time, • A visible and impactful role within a contained business structure, • Strong leadership investment in development and progression, • Genuine hybrid flexibility Working in Partnership This role is being delivered by Middlemore, a specialist executive search firm focused on HR and central functions recruitment, in partnership with True Potential. Middlemore is supporting the identification and assessment of all candidates for this appointment. Why Apply? This is an opportunity to step into a formative moment in the development of a Reward function, where your work will directly shape how reward, governance, and pay structures operate going forward. If this sounds in line with your next move, we would love to hear from you.

About the Company Go-Ahead Group is a leading international public transport operator providing bus and rail services across the UK and internationally. We play an important role in connecting communities and helping people travel safely and sustainably every day. About the Role Go-Ahead Group is seeking a Privacy Analyst to join our Data Protection team at 55 Degrees North, Newcastle. This is an excellent opportunity to build a career in privacy and data protection within one of the UK’s largest public transport groups. You will support the Group’s data protection function — helping manage the public-facing data protection mailbox, handling Subject Access Requests (SARs), assisting with Data Protection Impact Assessments (DPIAs) and data incidents, and contributing to a range of proactive compliance initiatives. Full guidance and training will be provided, making this an ideal role for someone looking to develop specialist expertise in data protection and privacy. Responsibilities • Data Mapping & Records Management, • Work with Data Protection Managers, IT, Procurement and business teams to help identify and record all personal data processing activity across the Group and third-party processors., • Maintain accurate Records of Processing Activities (ROPA), data inventories and associated records of requests., • Use Microsoft 365 (including Purview) to help identify and classify data within the Group’s Microsoft environment (training provided; prior experience with data protection tools is not required)., • Assist with data protection audits of business areas and processes., • Subject Access Requests & Incidents, • Support the Data Protection Managers with SARs — including data locating, retrieval, review, redaction and disclosure — as well as DPIAs and data breach incidents, ensuring all are handled in line with legal and organisational standards., • Mailbox & Stakeholder Support, • Respond promptly and professionally to enquiries, requests or complaints received via the Data Protection mailbox; support the Data Protection Officer and wider team with compliance and accountability obligations., • Information Security & Compliance, • Work with Information Security colleagues to support data protection and data loss prevention initiatives; contribute to awareness activities and help improve the Group’s overall compliance posture. Qualifications • A minimum of three A-levels or equivalent qualification (e.g. college diploma)., • Some exposure to data protection, compliance, legal or risk-related work is desirable., • Data protection qualification, or a willingness to work towards one (support will be provided). Required Skills • Confidence using IT systems, particularly Microsoft 365; familiarity with data classification or information governance tools is a bonus., • Strong attention to detail and a careful, methodical approach to handling sensitive information, with the ability to communicate clearly and professionally at all levels., • Good analytical and problem-solving skills, with a genuine interest in privacy, information governance or compliance. Preferred Skills • Motivated, reliable and keen to develop within a data protection environment., • Well-organised, dedicated to continuous improvement, and able to manage competing priorities with care and precision., • A collaborative team player who communicates openly and builds good working relationships with colleagues across the Group., • An interest in privacy and information governance is important — curiosity and a desire to learn are just as valued as existing knowledge. Pay range and compensation package • 24/7 Employee Assistance Programme for wellbeing, financial, and emotional support., • Flexible working to balance your needs (reduced hours applications will be considered, however 5 days in the office is a requirement)., • 25 days holiday, pension, life Assurance travel pass, buy and sell holiday up to 5 days, Discount platform. Equal Opportunity Statement We are an equal opportunity employer that recognises the value of a diverse workforce. We are committed to creating an inclusive workforce where all our people feel valued, supported and able to succeed. All suitably qualified applicants will receive consideration for employment based on objective criteria and without regard to the following (which is a non-exhaustive list): age, race, religion or belief, gender, disability, sexual orientation, gender identity, marital status, caregiving responsibilities or other characteristics in accordance with the relevant governing laws. We will make any reasonable adjustments you need to ensure that your application and experience with us is positive. If you require adjustments to participate in the application or interview process, please let us know at tom.white@go-ahead.com. Ready to Take the First Step? Apply today and start a rewarding career with Go-Ahead Group - keeping our communities moving.

Senior Quality Assurance Testing Analyst- SC cleared\n\nPermanent | Hybrid (willing to travel to Newcastle when required) | Python | HTML\n\nWe are looking for QAT Analyst with strong Python and testing experience to work at an early stage alongside enterprise architects and senior engineers. You will help research, design and prototype the foundations of a new service, with particular emphasis on automation, integration and intelligent workflows.\n\nYou will join Peregrine who are supporting a large public sector organisation, starting an ambitious transformation programme focused on modernising how financial support services are delivered. The aim is to explore whether multiple existing approaches can be consolidated into a single, streamlined service.\n\nThis work is at Alpha stage, with a strong focus on research, prototyping and proving technical and architectural options.\n\nThis is a hands-on role suited to engineers who enjoy shaping solutions from first principles and working in exploratory delivery phases. The role is primarily remote, however travel to Newcastle may be required for sprint ceremonies and key workshops.\n\nResponsibilities:\n\n Champion QAT across several teams, providing technical leadership and guidance.\n\n Drive collaboration across engineers of different roles both within your team and the wider teams to solve problems and enable consistent solutions and strategies.\n\n Build automation test solutions that help to assure the quality of our products, contribute towards their design, and look for way to improve the value automation adds.\n\n Ensure that usability, accessibility, security, stability, and capacity are embedded in the development of services.\n\n Drive teams to take a risk based, context driven approach to agile testing assessing and understanding the risks to drive decisions.\n\n Lead the adoptions of Continuous Integration/Delivery pipelines to run a full range of tests against our products and assure our builds.\n\n Lead the traceability of testing, risks, defects, and report progress to appropriate stakeholders across several teams.\n\n Be willing to challenge assumptions and current processes to help us improve. Reusing and evolving our strategies and tooling.\n\n Drive the identification of tooling and solutions to aid constant improvements, ensuring we build the right product in the right way.\n\n Proactively share knowledge, solutions and support our internal communities along with mentoring, coaching, and supporting your peers\n\n Take a risk based, context driven approach to agile testing assessing and understanding the risks to drive decisions.\n\n Be supporting Continuous Integration/Delivery pipelines to run a full range of tests against our products and assure our builds.\n\n Maintain traceability of testing, risks, defects, and report progress to appropriate stakeholders.\n\n Demonstrable skills in a modern programming language and software engineering practices and aptitude to learn more.\n\n Experience building and maintaining comprehensive, robust, and reliable automated tests against UI’s and API’s including contributing to improving frameworks and automation suites.\n\n Experience of the testing lifecycle from understanding business needs from delivery to production. Including test generation, reporting and defect management\n\n * Adaptable team player who understands agile ways of working and shift left principles e.g. CI/CD.\n\n \n\nSkills & Experience:\n\n Support the build of digital services, applications and systems for the buyer; writing and testing code to create and amend applications and infrastructure with automated and manual testing being used to make sure it works, is high quality and is bug free\n\n Work alongside other testers both within your team and the wider community to solve problems and enable consistent solutions and strategies.\n\n Knowledge of non-functional testing e.g. Performance, Security and Accessibility\n\n– including test types, test tools, and standards\n\n Active SC clearance\n\n HTML\n\n CSS\n\n JavaScript\n\n * Node

About Quantiphi: Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients. Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries. Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including: • 21 Google Cloud Partner of the Year awards in the past 10 years, • 3 AWS AI/ML Partner of the Year awards, • 3 NVIDIA Partner of the Year awards, • 3 Snowflake Partner of the Year awards, • Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators. We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture. For more details, visit: or Role: Cloud Data Architect (AWS) Experience Level: 8+ years Employment type: Full Time Location: Remote (UK) What you will do: • We are seeking a highly skilled AWS Data Migration & Data Engineering Consultant to lead end-to-end data migration initiatives across on-prem, cloud, and multi-cloud environments into AWS., • This role focuses on defining and executing data migration strategies, including assessment, wave planning, migration execution, and post-migration stabilization, while ensuring data integrity, minimal downtime, and alignment with business SLAs., • The ideal candidate brings strong experience in cross-platform database migrations (Oracle, SQL Server, MySQL, or cloud-native systems) combined with deep expertise in AWS data engineering services and modern data pipeline development. Key Responsibilities: • Lead end to end database migrations to AWS from diverse sources, including on-premises systems (e.g., Oracle, SQL Server, MySQL) and other cloud platforms (e.g., GCP, Azure)., • Lead end-to-end data migration strategy and execution, including assessment, dependency mapping, and wave planning., • Design and implement migration frameworks using AWS DMS, SCT, Glue, and Redshift., • Define and execute data validation, reconciliation, and cutover strategies ensuring zero/low data loss., • Enable CDC-based replication and minimal downtime migrations across heterogeneous systems., • Design and optimize ETL/data pipelines using AWS Glue, PySpark, or EMR., • Architect and implement scalable, secure, and highly available data platforms on AWS., • Drive schema conversion and modernization strategies (heterogeneous migrations where applicable)., • Optimize performance of source and target systems pre- and post-migration., • Manage and govern S3-based data lakes and metadata using Glue Data Catalog., • Collaborate with application, infrastructure, and analytics teams for seamless migration and stabilization., • Implement monitoring, rollback, and failure recovery mechanisms., • Ensure adherence to security, governance, and compliance standards. Basic Qualifications (BQs): • 8+ years of experience in database migration and data engineering., • Proven experience in cross-platform data migrations (on-prem to cloud or cloud to cloud)., • Experience designing and implementing data validation and reconciliation frameworks., • Strong experience in ETL/data pipeline development (Glue, PySpark, EMR, or equivalent)., • Deep proficiency in SQL and data modeling concepts., • Experience working with S3-based data lakes and Glue Data Catalog., • Strong understanding of CDC, transaction consistency, and migration cutover strategies., • Hands-on experience with performance tuning, schema design, and query optimization., • Proficiency in Python/PySpark and scripting (Shell/Python)., • Experience with Oracle, SQL Server, MySQL, PostgreSQL, or cloud-native databases., • Strong hands-on expertise with:, • AWS DMS (Database Migration Service)., • AWS SCT (Schema Conversion Tool)., • AWS Glue (ETL & data integration)., • Amazon Redshift (data warehousing). Other Qualifications (OQs): • Exposure to real-time replication tools (e.g., GoldenGate or equivalent)., • Database Administration (DBA) expertise, including backup & recovery strategies, HA/DR design, database patching and upgrades, lifecycle management, capacity planning, performance monitoring, and security hardening., • Experience with Lake Formation and data governance frameworks., • Familiarity with Data Mesh and cross-account data sharing architectures., • Experience with CI/CD for data pipelines (CodePipeline, Jenkins, etc.)., • Knowledge of Infrastructure as Code (Terraform / CloudFormation)., • AWS Certifications (Solutions Architect / Data Engineer)., • Experience in mentoring teams and leading large-scale migration programs. What is in it for you: • Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale., • Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges., • Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents., • Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.

About Complexio Complexio is the intelligence layer for enterprise AI. Our platform builds a connected understanding of how businesses actually operate - across people, processes, and systems. Enterprises have invested heavily in AI platforms, copilots, and data infrastructure - yet daily work still runs on manual hand-offs and thousands of unseen tasks buried in emails, chats, and spreadsheets. Complexio closes that automation gap. Our Event Knowledge Graph ingests structured and unstructured data to create a living map of how an organisation truly works - every task, interaction, and dependency. Our Context Broker unifies this knowledge across enterprise systems in real time, enabling our Orchestration layer and Enterprise Automator to discover, design, and execute workflows autonomously. Stevie, our conversational AI assistant, gives teams a natural way to query and act on that intelligence. Complexio deploys securely within your infrastructure and integrates with the enterprise platforms you already run on - turning organisational knowledge into measurable business outcomes. A joint venture between Hafnia and Símbolo, backed by leading maritime partners including Marfin Management, C Transport Maritime, Trans Sea Transport, and BW Epic Kosan. Born in maritime, now scaling rapidly across industries. We are now onboarding enterprise customers globally, with a platform built to handle the pace and complexity of real business operations. Role Purpose Enterprise organisations do not buy software - they fund outcomes. The Value Engineer exists to make the connection between Complexio's platform capabilities and the specific, quantified business outcomes each customer cares about, at every stage of the relationship. Value engineering as a discipline has become a defining commercial capability at the world's leading enterprise software companies. ServiceNow built a global Value Engineering practice to justify platform ROI at scale. Celonis pioneered value engineering in the process mining space, making quantified process improvement the centrepiece of every enterprise deal. SAP's Value Advisors and Salesforce's Business Value Consultants have made the ability to prove financial return a standard expectation in enterprise software procurement. Complexio is building this capability now - at the stage where it will have the most impact on commercial outcomes. This role sits at the intersection of business consulting, commercial strategy, and deep operational understanding. You are not a sales support function. You are an independent, credible business advisor who earns the trust of customer CFOs, COOs, and operational leadership by doing rigorous work - identifying where value is being lost, modelling what recovery is worth, and demonstrating with evidence what Complexio has actually delivered. Key Responsibilities Value Discovery & Business Case Development • Lead structured value discovery engagements with prospective customers - working with operational, financial, and technology stakeholders to identify and quantify the cost of their current automation gap, • Map customer operational workflows to Complexio's platform capabilities, identifying the specific processes, hand-offs, and inefficiencies where the EKG, Context Broker, Enterprise Automator, and Stevie create measurable impact, • Translate business case outputs into executive-ready materials - CFO-grade financial models, board-level summaries, and ROI one-pagers that withstand scrutiny from finance and procurement stakeholders, • Validate assumptions with customers through structured interviews, data analysis, and process observation - never building a business case on hypotheticals that will be challenged at approval Pre-Sales Value Engagement • Partner with Sales, Client Directors, and Solutions Consultants in enterprise sales cycles - joining customer engagements specifically to lead the value and business case workstream, • Run executive value workshops with customer C-suite and operational leadership - structured sessions that move from pain identification through to quantified opportunity in a single engagement, • Produce deal-specific value narratives and ROI models that are calibrated to each customer's operational context, financial metrics, and internal approval process, • Equip the sales team with reusable value frameworks, benchmark data, and industry-specific ROI models that accelerate deal cycles across similar customer profiles, • Support commercial proposal development by providing the financial and business value content that underpins pricing, contract structure, and deal terms Post-Sale Value Realisation • Own the value realisation framework for Complexio's customer base - defining how value is tracked, measured, and reported from deployment through to steady-state operation, • Establish baseline metrics with customers at the point of deployment - agreeing the operational and financial KPIs against which Complexio's impact will be measured Value Benchmarking & Market Intelligence • Build and maintain Complexio's value benchmark library - a structured, continuously updated repository of outcome data across customers, sectors, use cases, and platform capabilities, • Develop sector-specific value models for Complexio's primary markets - maritime operations, energy trading, industrial workflow management - grounded in real customer data and validated against industry benchmarks, • Track and analyse how value accrues over time across the customer base - identifying which deployment patterns, use cases, and adoption sequences drive the fastest and largest outcomes, • Monitor competitive value positioning - understanding how Complexio's ROI profile compares to alternatives including Microsoft Copilot, Celonis, and incumbent manual processes Internal Value Enablement • Build and maintain a value engineering toolkit accessible to the broader commercial team - including value discovery frameworks, ROI calculators, benchmark data packs, and executive presentation templates, • Partner with Product and Engineering to ensure that Complexio's platform instrumentation supports value measurement - advocating for the telemetry, reporting, and analytics capabilities that make value realisation visible to customers, • Feed value data and customer outcome evidence back into Complexio's product prioritisation process - ensuring the roadmap is guided by where the platform creates the most demonstrable impact Executive & C-Suite Engagement • Engage directly with CFOs, COOs, and operational leadership as a credible, independent business advisor - not as a vendor representative, • Lead or co-lead executive value presentations and business case reviews at board and C-suite level - with the financial and operational rigour to withstand challenge from sophisticated buyers, • Shadow Co-CEOs and the CRO in strategic customer engagements as required - providing the value and ROI narrative in high-stakes commercial discussions, • Build long-term advisory relationships with senior customer stakeholders that extend beyond individual deals and create durable commercial anchors What We're Looking For Essential • 6+ years in a value engineering, value advisory, business value consulting, or management consulting role - ideally with direct experience in enterprise software, process automation, or AI/data platform contexts, • Demonstrable experience building and presenting rigorous business cases and ROI models to C-suite and finance stakeholders - models that have withstood scrutiny and influenced major investment decisions, • Strong financial modelling capability - comfortable building NPV, IRR, and payback analyses from first principles and translating operational data into financial outcomes, • Deep understanding of how large enterprises make investment decisions - approval processes, financial hurdle rates, competing priorities, and the politics of internal sponsorship Desirable Experience in the maritime, shipping, energy, or industrial sectors - operational familiarity with voyage management, fleet operations, chartering, trading, or supply chain workflows Experience with process mining, workflow analytics, or operational intelligence tools - and the ability to use data outputs to construct value narratives Familiarity with AI automation economics - understanding how to model labour displacement, error reduction, and decision acceleration in organisations adopting AI-driven workflows Experience building value benchmark databases and sector-specific ROI frameworks from scratch Who You Are Rigorous and credible - your business cases are built on real data, sound assumptions, and transparent methodology; you do not overstate value and you do not produce numbers that collapse under scrutiny A skilled interviewer and listener - you can run a discovery session with a COO or a fleet manager and extract the operational detail you need to build a credible model, without making them feel interrogated Commercially motivated - you understand that your work directly enables revenue and you take that seriously; you are not an academic analyst, you are a commercial contributor Independently minded - you are willing to tell a customer or a sales team that a use case does not meet the value threshold, because your credibility depends on honesty, not optimism • A strong writer and presenter - you produce executive materials that are clear, well-structured, and visually compelling; you do not hide weak analysis behind impressive slides, • Intellectually curious about how industries operate - you find genuine interest in understanding how a maritime shipping company makes money, where it loses it, and what operational changes move the needle, • A builder - Complexio does not yet have a mature value engineering function; you are excited by the opportunity to create the frameworks, tools, and benchmarks that will define how the company communicates value at scale

RQ is building referral management infrastructure for professional services firms - helping accountants, financial advisers, solicitors and other regulated businesses capture, manage and report on referrals properly. We’re looking for a Technical QA & Release Manager to take ownership of quality across our product and release process. This is not a traditional “click around at the end” QA role. We need someone who can bring structure, discipline and technical judgement to how work moves from development to production. You’ll work closely with our CTO, developers, product and customer-facing team to make sure features are properly tested, edge cases are considered, regressions are caught early, and releases go out with confidence. What you’ll own • QA of new product features before they go to production, • Clear acceptance criteria and test plans for tickets, • Regression testing across key RQ workflows, • Release checklists and go/no-go recommendations, • Bug reproduction, triage and high-quality bug reports, • Testing around integrations, data flows, permissions and user journeys, • Building out lightweight automated test coverage where appropriate, • Using AI tools to accelerate test case generation, edge-case discovery and QA documentation, • Helping us move from founder-led QA to a more scalable release process What we’re looking for You’ll likely have experience as a QA Engineer, Technical QA, Quality Engineer, Test Analyst, Release QA or similar in a SaaS/product environment. You should be comfortable with: • Testing web applications in staging/pre-production environments, • Writing clear test cases, acceptance criteria and regression checklists, • Browser dev tools, console and network inspection, • API testing tools such as Postman or similar, • Reproducing bugs clearly and working closely with developers, • Thinking through edge cases, permissions, data states and user behaviour, • Introducing practical QA process without slowing the team down, • Working in a fast-moving startup environment, • Experience with test automation tools such as Playwright, Cypress or similar would be a strong plus. The person we need You are detail-oriented without being bureaucratic. You care about quality, but you understand that startups need pace. You can push back when something is not ready, but you do it constructively. You are comfortable taking ownership and building process where it does not yet exist. Most importantly, you understand that QA is not just about finding bugs. It is about helping the whole team ship better software with more confidence. Why join RQ? ou will not be one of many QA people inside a large machine. You will be the person who helps define how quality and release ownership works at RQ as we scale. You’ll work on a product with real operational complexity: integrations, referral workflows, reporting, compliance-sensitive disclosures, CRM connections and user journeys across multiple types of professional services firms. If you like bringing order to complexity and want to own quality in a growing SaaS business, we’d love to hear from you.

Quality Assurance Testing Analyst- SC cleared Permanent | Hybrid (willing to travel to Newcastle when required) | Python | HTML We are looking for QAT Analyst with strong Python and testing experience to work at an early stage alongside enterprise architects and senior engineers. You will help research, design and prototype the foundations of a new service, with particular emphasis on automation, integration and intelligent workflows. You will join Peregrine who are supporting a large public sector organisation, starting an ambitious transformation programme focused on modernising how financial support services are delivered. The aim is to explore whether multiple existing approaches can be consolidated into a single, streamlined service. This work is at Alpha stage, with a strong focus on research, prototyping and proving technical and architectural options. This is a hands-on role suited to engineers who enjoy shaping solutions from first principles and working in exploratory delivery phases. The role is primarily remote, however travel to Newcastle may be required for sprint ceremonies and key workshops. Responsibilities: • Champion QAT across several teams, providing technical leadership and guidance., • Drive collaboration across engineers of different roles both within your team and the wider teams to solve problems and enable consistent solutions and strategies., • Build automation test solutions that help to assure the quality of our products, contribute towards their design, and look for way to improve the value automation adds., • Ensure that usability, accessibility, security, stability, and capacity are embedded in the development of services., • Drive teams to take a risk based, context driven approach to agile testing assessing and understanding the risks to drive decisions., • Lead the adoptions of Continuous Integration/Delivery pipelines to run a full range of tests against our products and assure our builds., • Lead the traceability of testing, risks, defects, and report progress to appropriate stakeholders across several teams., • Be willing to challenge assumptions and current processes to help us improve. Reusing and evolving our strategies and tooling., • Drive the identification of tooling and solutions to aid constant improvements, ensuring we build the right product in the right way., • Proactively share knowledge, solutions and support our internal communities along with mentoring, coaching, and supporting your peers, • Take a risk based, context driven approach to agile testing assessing and understanding the risks to drive decisions., • Be supporting Continuous Integration/Delivery pipelines to run a full range of tests against our products and assure our builds., • Maintain traceability of testing, risks, defects, and report progress to appropriate stakeholders., • Demonstrable skills in a modern programming language and software engineering practices and aptitude to learn more., • Experience building and maintaining comprehensive, robust, and reliable automated tests against UI’s and API’s including contributing to improving frameworks and automation suites., • Experience of the testing lifecycle from understanding business needs from delivery to production. Including test generation, reporting and defect management, • Adaptable team player who understands agile ways of working and shift left principles e.g. CI/CD. Skills & Experience: • Support the build of digital services, applications and systems for the buyer; writing and testing code to create and amend applications and infrastructure with automated and manual testing being used to make sure it works, is high quality and is bug free, • Work alongside other testers both within your team and the wider community to solve problems and enable consistent solutions and strategies., • Knowledge of non-functional testing e.g. Performance, Security and Accessibility – including test types, test tools, and standards • Active SC clearance, • HTML, • CSS, • JavaScript, • Node

About Quantiphi: Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients. Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries. Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including: • 21 Google Cloud Partner of the Year awards in the past 10 years, • 3 AWS AI/ML Partner of the Year awards, • 3 NVIDIA Partner of the Year awards, • 3 Snowflake Partner of the Year awards, • Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators. We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture. For more details, visit: or Role: Senior Cloud Migration Engineer Experience Level: 7+ years Employment type: Full Time Location: Remote (UK) What you will do: As a Senior Cloud Migration Engineer at Quantiphi, you will be instrumental in our Platform Engineering team, leading the delivery of advanced solutions in Application Development, Platform Engineering, Data Engineering, Analytics, and Machine Learning for our clients. This role requires experience in workload migration from on-premise datacenter environments to AWS, enabling clients to leverage the full potential of cloud capabilities. Basic Qualifications (BQs): Cloud Migration Expertise: • Understanding of different Migration approaches (Rs) with recent experience., • Experience with on-prem VMware/other platform based Virtual Machine Lift and Shift (REHOST) migration to AWS EC2 instance based architectures., • Previous work experience with tools like Cloud Endure, Double-Take, AWS Migration Hub, AWS Application Migration Service (MGN), AWS Server Migration Service (SMS), and AWS Database Migration Service (DMS). Good to have understanding of Database servers., • Expertise in AWS services, including EC2, S3, auto-scaling, Landing Zone, and Control Tower., • Proficiency in using AWS Migration Evaluator and Portfolio Assessment tools to analyze migration strategies., • Well-versed in service-oriented architecture and cloud-based web services architecture, design patterns, and frameworks., • Good understanding of Windows or Linux OS. Experience with troubleshooting Linux/Windows OS issues while migrating. Good to have handled Database server migrations also., • Strong knowledge of cloud-related services such as compute, storage, network, and messaging (e.g., SNS, SQS). Networking Skills: • Proficiency in setting up and managing hybrid cloud networks, including VPN and AWS Direct Connect., • Experience with configuring Application Load Balancers (ALB) for effective traffic management. Automation and Deployment: • Proficient in scripting languages such as Python and Bash for automating migration tasks and processes., • Familiarity with Infrastructure as Code (IaC) tools, including AWS CloudFormation and Terraform., • Strong understanding of IaC practices using tools like Terraform, CDK, and CloudFormation Templates., • Experience in automating development and testing processes through CI/CD pipelines using tools like Git, Jenkins, SonarQube, Artifactory, and Docker containers. Security and Compliance: • Strong understanding of AWS security best practices, including setting up IAM roles and policies for secure access., • Knowledge of compliance requirements relevant to data handling and migration processes. Configuration Management / Scripting and Programming: • Hands-on experience with scripting and programming languages such as Bash, Python, Core Java, and Scala., • Previous work experience on Configuration management and using tools like Ansible, Chef, Puppet, AWS SSM, etc. Other Qualifications (OQs): • Familiarity on-prem VMware ecosystem such as vSphere, vCenter, ESX, NSX., • Familiarity with vMotion, VM Export/Import and integrating with AWS., • Skills in monitoring cloud infrastructure and application performance using tools like Amazon CloudWatch., • Experience in optimizing database queries and application performance following migration., • Relevant certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer)., • Experience with relational SQL, NoSQL databases (e.g., PostgreSQL, MongoDB, Redis)., • Ability to build and manage container hosting platforms using Docker, Kubernetes, AWS EKS., • Familiarity with systems management and automation tools like Puppet, Chef, and Ansible., • Experience working in an Agile and DevOps environment. What is in it for you: • Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale., • Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges., • Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents., • Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.

About Quantiphi: Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients. Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries. Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters. We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including: • 21 Google Cloud Partner of the Year awards in the past 10 years, • 3 AWS AI/ML Partner of the Year awards, • 3 NVIDIA Partner of the Year awards, • 3 Snowflake Partner of the Year awards, • Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators. We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture. For more details, visit: or Role: MLOps Architect - AWS Experience Level: 8+ years Employment type: Full Time Location: Remote (UK) What you will do: • We are seeking an experienced MLOps/AIOps Architect who can drive end-to-end implementation of MLOps strategy and also contribute broadly across other enterprise AI/ML programs. This role demands a strong architectural mindset, hands-on technical depth, and the ability to design scalable, cloud-native machine learning operations across traditional ML and modern LLM workflows., • The ideal candidate will bring experience with SageMaker-based MLOps pipelines, evaluation of equivalent tooling stacks, hybrid MLOps/LLMOps automation, CI/CD orchestration, governance, monitoring, automation and production-grade scalability patterns. Key Responsibilities: • Architect and implement the MLOps strategy for the programme, ensuring alignment with the project proposal and delivery roadmap., • Design and own enterprise-grade ML/LLM pipelines covering model training, validation, deployment, versioning, monitoring, and CI/CD automation., • Build container-oriented ML platforms (EKS-first) while evaluating alternative orchestration tools with similar capabilities (Kubeflow, SageMaker, MLflow, Airflow, etc.)., • Implement hybrid MLOps + LLMOps workflows, including prompt/version governance, evaluation frameworks, and monitoring for LLM-based systems., • Serve as a technical authority across multiple internal and customer projects, contributing architectural patterns, best practices, and reusable frameworks., • Enable observability, monitoring, drift detection, lineage tracking, and auditability across ML/LLM systems., • Define and implement standards for model deployment, monitoring, governance, and automation to ensure production-grade reliability and scalability., • Collaborate with cross-functional teams — data engineering, platform, DevOps, and client stakeholders — to deliver production-ready ML solutions., • Ensure all solutions adhere to security, governance, and compliance expectations, particularly around handling cloud services, Kubernetes workloads, and MLOps tools., • Conduct architecture reviews, troubleshoot complex ML system issues, and guide teams through implementation across cloud-native ML platforms., • Mentor engineers and provide guidance on modern MLOps tools, platform capabilities, and best practices. Basic Qualifications (BQs): • Expierence working in ML/AI engineering or MLOps roles with strong architecture exposure., • Strong experience in leading enterprise grade MLOps strategy and its execution., • Proven experience in implementing the adoption of enterprise-grade MLOps platforms with client data science teams., • Proven leadership in defining and executing enterprise MLOps strategy., • Demonstrated success in driving the adoption of enterprise-grade MLOps platforms with client data science teams., • Strong expertise in AWS cloud-native ML stack, including: SageMaker(primary), EKS, Lambda, API Gateway, CI/CD (CodeBuild/CodePipeline or equivalent)., • Hands-on experience with at least one major MLOps toolset and awareness of alternatives: MLflow, Kubeflow, SageMaker Pipelines, Airflow, BentoML, KServe, Seldon., • Deep understanding of model lifecycle management (feature engineering->training → registry → deployment → monitoring)., • Experience implementing or supporting LLMOps pipelines, including: prompt versioning, evaluation metrics, automation frameworks., • Deep understanding of ML lifecycle: data ingestion, feature engineering, training, evaluation, model packaging, CI/CD, drift detection, monitoring, and governance., • Strong experience with AWS SageMaker (Pipelines, Feature Store, Model Registry, Model Monitor)., • Experience implementing ML CI/CD pipelines including automated training, testing, validation, model promotion, and endpoint deployment., • Experience working on Infrastructure as Code (IaC) tools and CI/CD pipelines., • Experience with Kubernetes based development., • Experience with feature engineering pipelines and Feature Store management., • Understanding of lineage tracking: training data snapshot, feature versions, code versioning, metadata tracking, reproducibility., • Hands-on experience with AWS Bedrock and Agentcore service., • Experience with CloudWatch, SageMaker Model Monitor, Prometheus/Grafana., • Strong foundation in Python and cloud-native development patterns., • Solid understanding of security best practices, IAM, secrets management, and artifact governance. Other Qualifications (OQs): • Experience with vector databases, RAG pipelines, or multi-agent AI systems., • Exposure to DevOps and infrastructure-as-code (Terraform, Helm, CDK)., • Hands-on understanding of model drift detection, A/B testing, canary rollouts, and blue-green deployments., • Familiarity with Observability stacks (Prometheus, Grafana, CloudWatch, OpenTelemetry)., • SQL and data transformation experience using Snowflake, Databricks, Spark., • Ability to translate business goals into scalable AI/ML platform designs., • Strong communication and cross-team collaboration skills., • Ability to guide engineering teams through technical uncertainty and design choices. What is in it for you: • Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale., • Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges., • Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents., • Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.

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