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Java Developer – Capital Markets FinTech £50-70k | London (1 day per week onsite) Java and AWS Required (Graduate +1 to 3 years exp.) - Perfect role for an Engineering Graduate with 1+ years of experience that wants to learn more around financial services products. About the Role: A rapidly scaling Capital Markets FinTech is seeking a Java Developer to work on the build of a financial data platform. The role will suit someone who wants to learn about complex financial products and contribute to the build of industry leading financial data platform. You’ll work closely a team of engineers to ensure the platform meets the demands of mission-critical financial services clients. Responsibilities: • Develop high performance Java applications, • Own backend platform builds, • Work with distributed systems and cloud environments, • Advocate high quality code and deliver best practices, • Support scalability, resilience, and performance Required Skills: • 1-3+ years in senior development roles, • Some background or a desire to work in FinTech or Financial Services (Capital Markets beneficial), • Software development experience (Java mandatory), • Looking to gain exposure to distributed systems, microservices, and cloud-native architecture, • Experience with some cloud - preferably AWS, • Strong communicator able to influence technical direction, • Hands-on mindset London – 1 day per week onsite No visa sponsorship available

Senior Full Stack Engineer : Up to £500 per day Outside IR35 : Fully Remote : London A growing EdTech company is seeking a Senior Full Stack Engineer to join an ambitious team building a creator-led tutoring platform. They are moving fast and building something genuinely new in education. As a Senior Full Stack Engineer, you will work closely with the engineering team, ship features end-to-end, and see your code reach real users within days. Key Responsibilities as a Senior Full Stack Engineer: • Build and ship features across the full stack, • Design and implement APIs and database schemas for new product features, • Integrate and optimise video streaming infrastructure, • Work with AI and ML models to power personalised tutoring features, • Implement payment flows and subscription management via Stripe Skills & Key Requirements: • Strong React and Next.js skills, • Proficiency with Claude Code and agentic development patterns, • PostgreSQL experience: complex queries, schema design, and optimisation, • Familiarity with serverless cloud platforms, particularly AWS and Vercel Contract Details: • Day Rate: Up to £500 per day Outside IR35, • Contract Length: 6 months, • Location: Fully Remote, • Start Date: ASAP If you are a Senior Full Stack Engineer who wants real ownership on a genuinely interesting technical problem, send your CV across today. Due to the high volume of applications, not all applicants will receive feedback. Senior Full Stack Engineer : Up to £500 per day Outside IR35 : Fully Remote : London

Senior Software Engineer (AWS / TypeScript) - Up to £440 per day | Remote UK We’re working with a growing tech-led business embarking on a major cloud transformation programme and they’re looking for a Contract Software Engineer to play a key role in modernising a core platform. This is a hands on position focused on re-platforming an existing Azure based .NET application into a cloud-native AWS architecture, leveraging modern TypeScript tooling and serverless technologies. The Role You’ll be responsible for helping to lift, evolve and re-architect a legacy application into a scalable, event-driven AWS environment. Working closely with engineers and stakeholders, you’ll contribute to both technical direction and delivery, helping shape best practices and modern engineering standards along the way. Key Responsibilities • Lead the migration of an existing .NET / SQL Server application into AWS, • Design and build cloud-native solutions using modern TypeScript, • Develop serverless architectures using AWS Lambda, Step Functions and DynamoDB, • Collaborate with cross-functional teams to define and deliver scalable solutions, • Contribute to architectural decisions and promote engineering best practice, • Support CI/CD, testing and deployment processes Tech Stack • AWS (Lambda, Step Functions, DynamoDB), • TypeScript / Node.js, • Existing environment: .NET, Azure, SQL Server What We’re Looking For • Strong experience as a Senior Engineer in modern web/backend development, • Proven track record working with AWS and serverless architectures, • Experience building applications with TypeScript / Node.js, • Understanding of cloud migration / modernisation projects, • Solid grasp of API design, distributed systems and event-driven architecture, • Comfortable working in an evolving environment with a high degree of autonomy If you're interested, please apply through the link and I'll be in touch ASAP

Contract role : Senior Software Engineer : Up to £475 per day Outside IR35 : 3 months rolling : Hybrid Monthly (London) An innovative digital consultancy is looking for experienced Senior Software Engineers to design and architect scalable, high-performance systems for a cutting-edge platform being developed for a major client. In this role, you’ll tackle complex technical challenges as part of an agile team following Scrum methodologies. As a Senior Software Engineer, you’ll set the standard for code quality and best practices, actively contributing to code reviews and collaborative programming sessions with your team. As a Senior Software Engineer, you will be experienced with: • C#, .Netcore, • JavaScript, React.js, • AWS Key information: • Up to £475 per day Outside IR35, • 3 months rolling, • Hybrid Monthly (London) This is an exciting opportunity for a Senior Software Engineer to join a high-performing development team. Contract role : Senior Software Engineer: Up to £475 per day Outside IR35 : 3 months rolling : Hybrid Monthly (London) *Unfortunately, due to the high volume of applications, not all submissions will receive feedback.

Senior Backend Engineer (Founding Team) | Real-Time Voice AI | Competitive Compensation + Equity | London (Hybrid) Most AI startups are just wrappers around a GPT prompt. At GLOT, we are building the low-latency infrastructure that makes real-time human interpretation possible. We aren't just translating words; we’re preserving the meaning of the conversation - tone, intent, and nuance - at scale. We’ve moved past the MVP. Now, we need an architect to build the engine that powers millions of concurrent voice streams. The Mission: Your First 12 Months As our second backend hire, you aren't "joining a team" - you are defining our engineering DNA. You will report directly to the Technical Founder to: • Architect from Zero: Design and deploy a unified AI API platform capable of handling high-concurrency voice data., • Own the Core: Build out the critical "business brain" of GLOT—billing, usage metering, and complex data pipelines., • Solve for Latency: Optimize real-time voice room infrastructure where every millisecond matters., • Scale for Global Reach: Transition our Azure-based environment from a working product to a production-grade, auto-scaling beast. Your Stack & Experience • Experience: 5+ years of building and scaling production-grade distributed systems. You've seen things break at scale and know how to prevent it., • The Core: Expert-level Python and deep familiarity with Distributed Systems., • Infrastructure: Hands-on experience with Azure (or AWS/GCP) and architecting high-concurrency load balancing., • The "Edge": Experience with WebRTC, WebSockets, or real-time audio processing is a massive bonus., • Mindset: You prefer a blank canvas to a pre-filled coloring book. You take extreme ownership. The GLOT Deal • Base Salary: Competitive Compensatio + Meaningful Equity (Founding Team)., • Location: High-bandwidth collaboration in our London office (3 days/week near Liverpool Street)., • Impact: You will be one of the first 5 people in the room. Your code will be the foundation of the company for years to come.

Entity: Technology Job Family Group: IT&S Group Job Description: What you will do In this role, you will lead the end-to-end architecture of our Endur (Openlink) energy trading platform, partnering closely with traders, product owners, market experts, and engineering teams to deliver solutions that are technically robust and aligned with business ambition. You will help modernise our trading technology by applying contemporary design patterns, cloud-native engineering principles, and architecture governance that supports performance, scalability, resilience, and future growth. You will provide architectural leadership across internal teams and vendor partners, ensuring alignment through the full delivery lifecycle. You will also play a central part in shaping trading capabilities across front-, middle-, and back-office workflows—ensuring that every component, from deal capture to optimisation, scheduling, settlement and reporting, works seamlessly together. Key areas of focus Architecture & Design • Own the target architecture for Endur-enabled trading capabilities, document key decisions, and make thoughtful trade-offs., • Lead architecture and design across Endur programmes (new capabilities, upgrades, integrations, and platform modernisation)., • Work with developers, data engineers, product teams, UX, vendors, and consultants; guide design reviews and drive consistency across teams. Required (must-have) • Significant hands-on Endur (Openlink) experience delivering and shaping solutions in a production energy trading environment., • Strong experience in physical Gas and/or Power trading, including lifecycle processes such as deal capture, scheduling/nomination, optimisation, settlements/invoicing, risk/PnL and reporting., • Proven track record leading architecture on complex trading programmes, including governance, design authority, and stakeholder management., • Strong understanding of non-functional requirements for trading platforms: performance, resiliency, security, auditability, and operational support., • Experience with modern architecture patterns: microservices, messaging/event-driven design, caching, and API strategy., • AWS cloud services (strongly preferred) and cloud-native patterns, • C# or Java, • Containerisation (Kubernetes / Docker / OpenShift), • Infrastructure as code (Terraform), • Integration and messaging (APIs, JSON/Swagger/OpenAPI, AMQ or similar), • Endur modernisation experience (e.g., upgrades, cloud migration, platform re-architecture), • React familiarity for UI collaboration, • Data architecture experience supporting transactional + analytical models, reconciliation, real-time reporting, distributed caching, and NoSQL (e.g., MongoDB) Travel Requirement No travel is expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is not available for remote working Skills: Agility core practices, Business modelling, Creativity and Innovation, Data Analysis, Data design, Digital Analytics, Emerging technology monitoring, Information Assurance, Integration, IT Management, IT strategy and planning, Network Design, Requirements definition and management, Risk Management, Service operations and resiliency, Solution Architecture, Systems Development Management, Technical specialism, User Experience Analysis Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please ___. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Entity: Technology Job Family Group: IT&S Group Job Description: Within bp’s Supply, Trading & Shipping (ST&S) digital organisation, this role is for the end‑to‑end operations, delivery, and support of the digital systems underpinning the Gas & Power Trading International (GPTI) business — including Gas, Power, Global LNG, and GETEC. The role exists to ensure GPTI’s critical trading, risk, and optimisation platforms are stable, scalable, secure, and continuously improving. It enables safe, compliant, and competitive trading operations across global markets by providing clear ownership for operational performance, change delivery, and risk management across a complex, high‑stakes digital estate. Operating as the primary digital counterpart to GPTI leadership, the Senior Principal Delivery Manager plays a key role on the ST&S Digital Leadership Team. The role leads and coordinates Engineering, Data & AI, Architecture, and strategic supplier organisations to deliver resilient, high‑performing platforms; translate business strategy into aligned technology priorities; and balance operational stability with ongoing transformation. This is a senior leadership position requiring sound judgement, disciplined execution, and strong influence with partners at VP and SVP level across both business and technology. It is an exciting opportunity to lead at scale in a fast‑moving business, at a moment when AI‑enabled tooling can drive real and tangible impact! • Technology portfolio leadership, • Define and lead the strategy, roadmaps, investment, and budgets for GPTI’s critical trading and optimisation platforms. Act as the primary interface between business stakeholders, global technology teams, and strategic delivery partners to ensure alignment, transparency, and predictable outcomes., • Technology delivery management, • Oversee the end‑to‑end delivery of complex programmes spanning products, platforms, and business processes, and using AI‑enabled engineering and operations to accelerate delivery, uplift quality, and simplify change., • Operational integrity, • Own end‑to‑end accountability for the availability, performance, resilience, and compliance of GPTI trading and optimisation systems, including live operations, incident response, service recovery, and continuous improvement., • Data‑driven decision making, • Monitor service health, performance, and operational risk to inform prioritisation, investment decisions, and governance, enabling transparent and evidence‑based decision making., • Resource, vendor, and financial management, • Lead internal teams and strategic suppliers, utilising global delivery centres (including BTCs) to optimise cost‑to‑serve, capacity, and quality while maximising business value., • Senior accountability and leadership, • Act as the single senior point of accountability for digital outcomes with the GPTI SVP, COO, VPs, and senior partners, providing clear ownership and decision support., • Lead operational and regulatory risk management, ensuring adherence to architectural, security, and policy standards in partnership with Strategy, Digital Security, Legal, and Compliance., • Drive simplification, automation, and continuous improvement across the GPTI digital estate, reducing complexity, mitigating key‑person dependency, and safely adopting new technologies that improve resilience, speed, and cost efficiency., • Significant experience in senior technology delivery leadership roles, managing complex software development, operations, and service delivery across internal teams and strategic suppliers., • Deep experience in energy or commodity trading environments, with a strong understanding of trading and risk processes and the platforms that support them (e.g. Deal modelling, Valuation, Logistics, Analytics, Risk, back-office)., • Track record in supporting critically important, high‑availability systems in regulated or time‑critical environments., • Demonstrated ability to balance operational stability with transformation, modernisation, and continuous improvement., • Comfortable operating within complex, multi‑vendor, globally distributed delivery ecosystems., • Demonstrated capability to build, lead, coach, and develop high‑performing, globally dispersed teams., • Strong executive communication skills, with high emotional intelligence and the ability to influence senior team members and leaders using clear, concise, and data‑driven insights., • Ability to prioritise strategic outcomes while maintaining strong execution., • Highly motivated by complex problem‑solving, with a strong bias for action, ownership, and accountability., • Bachelor’s degree (or higher) in a relevant subject area (e.g. Computer Science, Engineering, Mathematics, MIS/IT), or equivalent practical experience, • Professional certification (e.g. PMI or equivalent) is desirable., • Experience delivering significant, complex, project-based change programmes., • Broad experience with Energy Trading Risk Management (ETRM) system design, operation, or enhancement., • Experience with hyperscale cloud platforms (Azure/AWS), including cost and performance optimisation., • Strong AI and automation focus, with experience applying data‑driven and AI‑enabled practices to modernise delivery or operations. Why join us? We’re committed to supporting leaders who want to make an impact. At bp, you’ll have the chance to shape and influence outcomes across businesses. You’ll be part of an inclusive environment where diverse perspectives are valued, and where your contribution to performance and integration matters. We invest in the growth and wellbeing of our people, providing the resources, networks, and development opportunities needed to thrive. Our total rewards package includes competitive pay, bonuses, share options, and a range of flexible benefits designed to meet your needs — from healthcare and retirement plans to paid time off and agile working. We recognise that people have multifaceted lives, and we strive to offer a career experience that reflects that. Apply now! Travel Requirement Up to 10% travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Agile Delivery, Business modelling, Coaching, Collaboration, Continued Learning, Continuous Improvement, Control Risk, Design Thinking, Digital Fluency, Digital Innovation, Empowering Others, Financial Management, Hiring, Mentoring, Performance Metrics, Resilience, Risk Management, Stakeholder Engagement, Stakeholder Management, Strategic Planning, Team Development Legal Disclaimer: We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please ___. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Entity: Technology Job Family Group: IT&S Group Job Description: Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas in the nations where we operate. We are one of the few companies globally that can provide governments and customers with an integrated energy offering. Delivering our strategy sustainably is fundamental to achieving our ambition to be a net zero company by 2050 or sooner. We’re hiring a Platform Engineer to help build Yalla, our Internal Developer Platform (IDP). Yalla enables teams across our organisation to provision infrastructure, deploy code, and operate services in a secure and standardised way — all via self-service. This is a hands-on engineering role working across the full stack: you'll be building on top of the core platform (using Kubernetes, ArgoCD, and Crossplane), as well as any supporting tooling such as the developer portal, backend services, and observability that bring Yalla to life for product teams. You'll work closely with internal users to understand developer needs, simplify workflows, and turn complex platform capabilities into intuitive developer experiences (DevEx). • Design, build, and operate features across the full Yalla stack — including:, • Platform infrastructure (Kubernetes, GitOps, provisioning workflows), • Backend APIs and services (e.g., service catalog, deployment orchestration), • Frontend portal (React-based developer UI), • Tooling (Observability, Artifact Storage, Azure DevOps), • Build reusable templates and automation for provisioning environments, services, and CI/CD pipelines., • Integrate with tools like ArgoCD, Crossplane, and language-native build systems (Go, .NET, Java, Node.js, Python)., • Contribute to platform contracts and APIs used by product teams., • Collaborate with engineers across the company to define platform standards and improve developer experience., • Improve reliability, observability, and security across all layers of the platform. Must-Have: • Proven experience building and deploying full-stack applications with at least one high-level programming language (ideally React + Go/ .NET/ Java/ Node.js/ Python)., • Strong understanding of cloud-native architecture (AWS/Azure) and Kubernetes., • Familiarity with GitOps workflows and infrastructure-as-code (e.g., Terraform, Crossplane, Helm)., • Experience with CI/CD tooling (Azure DevOps, GitHub Actions, etc.)., • Ability to work across front-end and back-end boundaries, turning platform concepts into intuitive UX., • Comfortable navigating a mixed-language environment., • Experience building internal platforms, IDPs(Internal Developer Platform), or self-service developer tooling., • Experience of working in a monorepo., • Knowledge of service communication patterns (REST, GraphQL, gRPC, messaging)., • Experience in secure, regulated environments (e.g., SoX, audit requirements)., • Exposure to policy-as-code tools (e.g., OPA, Kyverno, Cedar)., • Familiarity with design systems or component libraries used for internal portals. Travel Requirement No travel is expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Agility core practices, Agility core practices, API and platform design, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modelling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development, Solution Architecture {+ 6 more} Legal Disclaimer: We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please ___. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Blue Light Card. Individually great, together unstoppable The Role and the Team There’s never been a better time to join the team at Blue Light Card. Blue Light Card is expanding rapidly in the UK and Australia, and we have an exciting opportunity for an experienced Engineering Manager to join our Technology department. You’ll have experience working as an engineering manager in a high-performing, product-led agile organisation with multiple teams. You’ll lead one of our engineering teams, and be responsible for championing agile practices, delivering high-quality solutions, and managing technical operations, to ensure your team achieves the best outcomes for our members. What You’ll Do • Guide and motivate a high-performing team, fostering collaboration, accountability, and integrity through coaching and support, • Work together with Product and Design to plan and deliver work. You’ll get involved in sprint planning, retrospectives, and solving incidents, ensuring issues are addressed quickly, • Ensure Operational Excellence by monitoring production components with Platform Engineering and addressing issues fast, ensuring non-functional requirements are met, • Implement and champion agile methodologies and best practices by supporting the scaling of these practices across Engineering, Product, and Design, • Foster a quality-first mindset within the team, ensuring everyone follows agreed-upon standards, • Support technical design solutions that meet requirements and align with architectural standards providing technical coaching and encouraging innovative ways of working, • Engage with stakeholders to ensure your team’s voice is heard and aligned with business interests, maintaining a humble and positive attitude, • Ensure the team understands and works towards business goals, fostering a shared sense of purpose and dedication, while being flexible and ready to tackle various tasks each day What You’ll Bring • Experience as an Engineering Manager with a robust track record of successfully leading teams of at least four individuals, • Substantial experience in regular one-on-one meetings, providing coaching, delivering constructive feedback, and prioritising the well-being and development of team members to ensure they feel valued and supported, • Extensive experience with agile methodologies to oversee practices and ceremonies, ensuring the team delivers high-quality work while managing ongoing tasks smoothly, • Proven ability to deliver high-quality scalable technical solutions, with an emphasis on best practices and innovative approaches utilising AWS and TypeScript, • Ability to take charge of the team's work in progress, keeping tasks on track and addressing issues promptly working in collaboration with Platform Engineering to maintain smooth operations, • Experience in helping the team understand and work towards business goals, fostering a shared sense of purpose and dedication and flexible to tackle various tasks each day, adapting to a changing work environment, • Experience in guiding the team to develop and implement technical solutions that meet all requirements, ensuring alignment with architectural standards and contributing to the technical roadmap Our Culture Our members, partners and colleagues are at the heart of everything we do. Our colleagues are integral to helping create the unique experience we deliver, so we’re genuinely committed to creating a place where our team love to work, and people want to join. We work as a team and try to have a bit of fun while we do it, and we recognise the importance of culture and the positive impact it can have on performance for you, the team, our organisation and our members. We believe in attracting the best talent no matter where you are. We promote hybrid working, but we value in-person collaboration so encourage time in our offices. How regular and in which office location depends on the role and team. We don't offer remote-only roles. We're also officially recognised as a Top 100 Great Place To Work UK, one of the UK's Best Workplaces for Wellbeing, Top 100 Best Workplaces for Women and recognised as investors in wellbeing by Investors in People. What We Offer • Hybrid working and flexible hours, • Free parking and EV charging onsite, • 25 days plus public holidays, buy and sell and an additional day off for your birthday, • A company bonus scheme, • Great social events e.g., Christmas party, family fun day, summer party, sports matches, • Relaxed dress code and modern office space (games area, chill-out areas, book club, free coffee/tea/soft drinks/snacks), • Onsite gym (including access to free HIIT & stretch classes), • Learning and development opportunities, • Group auto-enrolment pension plan, • Enhanced maternity, paternity, sick pay, • Company funded private medical insurance, • Healthcare cashback plan, • Employee assistance programme (including mental health support) #LI-Hybrid Remote Status: hybridLocation 1 24-28 Bloomsbury WayLondonLondonWC1A 2SNUnited KingdomLocation 2 *(if applicable) Charnwood Edge Business ParkCossingtonLeicesterLE7 4UZUnited Kingdom

AWS DATA ENGINEER: Domain: Telecommunications Location: London,UK Duration: 12 Months Fixed Term Contract Hybrid working 2-3 Days from Office Keywords: End‑to‑End Data Platform Design, Data Strategy, AWS Cloud Architecture, High‑Availability Architecture, Scalable Data Pipelines ,ETL Architecture, Metadata Management, Iceberg, Batch & Streaming Pipelines, Python, Pypark, Data Pipeline Design & Deployment Role Overview We are seeking an experienced AWS Data Engineer with strong expertise in ETL pipelines, Redshift, Iceberg, Athena, and S3 to support large-scale data processing and analytics initiatives in the telecom domain. The candidate will work closely with data architects, business analysts, and cross-functional teams to build scalable and efficient data solutions supporting network analytics, customer insights, billing systems, and telecom OSS/BSS workflows. Key Responsibilities 1. Data Engineering & ETL Development • Design, develop, and maintain ETL/ELT pipelines using AWS-native services (Glue, Lambda, EMR, Step Functions)., • Implement data ingestion from telecom systems like OSS/BSS, CDRs, mediation systems, CRM, billing, network logs., • Optimize ETL workflows for large-scale telecom datasets (high volume, high velocity). 2. Data Warehousing (Redshift) • Build and manage scalable Amazon Redshift clusters for reporting and analytics., • Create and optimize schemas, tables, distribution keys, sort keys, and workload management., • Implement Redshift Spectrum to query data in S3 using external tables. 3. Data Lake & Iceberg • Implement and maintain Apache Iceberg tables on AWS for schema evolution and ACID operations., • Build Iceberg-based ingestion and transformation pipelines using Glue, EMR, or Spark., • Ensure high performance for petabyte-scale telecom datasets (CDRs, tower logs, subscriber activity). 4. Querying & Analytics (Athena) • Develop and optimize Athena queries for operational and analytical reporting., • Integrate Athena with S3/Iceberg for low-cost, serverless analytics., • Manage Glue Data Catalog integrations and table schema management. 5. Storage (S3) & Data Lake Architecture • Design secure, cost-efficient S3 data lake structures (bronze/silver/gold zones)., • Implement data lifecycle policies, versioning, and partitioning strategies., • Ensure data governance, metadata quality, and security (IAM, Lake Formation). 6. Telecom Domain Expertise • Understand telecom-specific datasets such as:, • CDR, xDR, subscriber data, • Network KPIs (4G/5G tower logs), • Customer lifecycle & churn data, • Billing & revenue assurance, • Build models and pipelines to support network analytics, customer 360, churn prediction, fraud detection, etc. 7. Performance Optimization & Monitoring • Tune Spark/Glue jobs for performance and cost., • Monitor Redshift/Athena/S3 efficiency and implement best practices., • Perform data quality checks and validation across pipelines. 8. DevOps & CI/CD (Preferred) • Use Git, CodePipeline, Terraform/CloudFormation for infrastructure and deployments., • Automate pipeline deployment and monitoring. Required Skills • 8–10 years’ experience in data engineering., • Strong hands-on experience with:, • AWS S3, Athena, Glue, Redshift, EMR/Spark, • Apache Iceberg, • Python/SQL, • Experience in telecom data pipelines and handling large-scale structured/semi-structured data., • Strong problem-solving, optimization, and debugging skills. Good to Have Skills • Knowledge of AWS Lake Formation, Kafka/Kinesis, Airflow, or Delta/Apache Hudi., • Experience with ML workflows in telecom (churn, network prediction)., • Exposure to 5G network data models.

DevOps Manager We are currently working with a fast growing AI start-up, who are looking for a DevOps Manager to lead their ever-expanding platform / DevOps team currently of 4 from their Shoreditch, London Office where you will be expected to go to the office twice a week. They are looking for you to have excellent cloud knowledge, ideally AWS but can also consider GCP. It is also vital you have experience of working on a SOC 2 or ISO27001 programme. As well as this you will also be expected to have knowledge of Kubernetes. The successful DevOps Manager will be joining a highly talented platform team where you will learn a wide range of skills. As the DevOps Manager, you will be a self-starter who has excellent stakeholder management experience who can show outcome based work. You will also be responsible for end to end solutions working closely as part of a squad including Developers and Testers. Please note you will need to have start-up experience. Skills required for the DevOps Manager: • Knowledge of AWS or GCP, • Working experience of Kubernetes This is a really exciting opportunity to rapidly grow your skill set and work closely with some of the most talented Developers and Analyst's within this space. If you are keen to hear more please apply ASAP or reach out to myself directly for more information. Location: 2 days per week in the London, Shoreditch Office Salary: £120,000 - £135,000 Apply now for immediate consideration regarding this excellent opportunity! Understanding Recruitment is acting as an employment agency for this vacancy

Lead DevOps Engineer Salary: £75,000 - £112,000 Location: London, Cheltenham, Manchester Clearance: Highest Level of UK Government Clearance Define Possible at Northrop Grumman UK What’s your possible? At Northrop Grumman UK, you are part of a team driving innovation where it matters most – solving tomorrow’s challenges and shaping the technology and solutions of the future. It’s what we call Defining Possible. This mind‑set goes beyond our customer solutions; it’s the foundation for your career development and the impact we have within the community. The Opportunity This is more than just a job; it’s a mission. As a Lead DevOps Engineer, you will play a pivotal role in designing, developing and maintaining the critical CI/CD infrastructure that powers our services. You’ll be self‑driven, organised and passionate about building elegant, stable and scalable solutions. You’ll work across a wide variety of exciting projects with complex challenges, contributing to core solutions that have meaningful, real‑world impact. You’ll also bring strong leadership, guiding your team through both technical and delivery challenges to ensure customer needs are met. “My purpose is to lead a team of engineers, rise to the challenges presented, push the boundaries and define possible together.” – Matthew Bullock, Software Manager, Northrop Grumman UK What You’ll Do • Own the team’s deliverables, working with the Scrum Master to define a clear delivery path aligned to customer requirements., • Lead and contribute across the entire CI/CD lifecycle, including requirements gathering, design, implementation, testing and deployment., • Collaborate with cross‑functional teams, including product, front‑end development and QA, to ensure integrated delivery., • Mentor and guide junior developers, helping to grow capability and support career development across the team. What We’re Looking For • Experience as a DevOps Engineer with strong expertise in CI/CD, containerisation, deployment technologies, and cloud platforms (Jenkins, Kubernetes, IaC, Docker, AWS)., • Proven experience in designing, developing and deploying CI/CD solutions., • Experience in Linux system administration or similar operating systems., • Ability to troubleshoot issues across live production environments, including high‑level networking, server and application issues., • Understanding of database technologies such as SQL, Elasticsearch or MongoDB., • Excellent communication, collaboration and problem‑solving skills, ideally with experience working in an agile environment. If you don’t meet every requirement, we still encourage you to apply. We value potential, curiosity and a willingness to learn. Security Clearance Due to the nature of our work, you must be British National for this clearance type. You must currently hold the Highest Level of UK Government security clearance. Our recruitment team is available to support you through the process: Benefits • Flexible working options, including hybrid working and an optional compressed fortnight, • Private healthcare, • Cash health plan, • Holiday buy/sell scheme, • Career development programmes and specialist training opportunities, • Performance‑based bonuses Why Join Us? A Mission to Believe In Every day, we help build a more secure and connected world across land, sea, air, space and cyberspace. From engineering data and intelligence solutions to advancing mission systems for the UK and NATO — what we do together matters. A Place to Belong and Thrive Every voice matters. You’ll join an inclusive community where you can bring your authentic self to work. We are proud supporters of Employee Resource Groups and partnerships that champion diversity, wellbeing and inclusion. Your Career, Your Way Shape your journey with diverse roles, mentorship and development opportunities. Enjoy flexibility that supports your wellbeing, alongside benefits that help you grow personally and professionally. Ready to Apply? Yes – Submit your application online. Possibly – Contact our team for more information: No – Explore other opportunities with us. We’re growing across the UK. #SOFT-ENG-DEVOPS

Location: Cheltenham INTRODUCTION We are looking to hire a skilled Software Developer to join our dynamic and innovative team. As a Software Developer, you will be responsible for designing, implementing, and maintaining high-performance, scalable software solutions using Python and related technologies. You will collaborate closely with cross-functional teams to develop and deploy robust web applications, leveraging your expertise in Flask, MongoDB, HTML, CSS, Bootstrap, JavaScript, RESTful services, Docker, AWS, Jenkins, and Git. RESPONSIBILITIES • Design, develop, and maintain Python-based web applications using the Flask framework., • Implement efficient data storage solutions using MongoDB., • Create responsive and visually appealing user interfaces using HTML, CSS, and Bootstrap., • Enhance user experience through dynamic client-side scripting with JavaScript., • Develop and integrate RESTful services to support seamless communication between frontend and backend systems., • Containerise applications using Docker for streamlined deployment and scalability., • Deploy and manage applications on AWS cloud infrastructure., • Implement continuous integration and continuous deployment (CI/CD) pipelines using Jenkins., • Collaborate with cross-functional teams to understand requirements and translate them into technical solutions., • Ensure code quality, performance, and security through rigorous testing and code reviews., • Utilise version control systems, particularly Git, for managing the codebase and collaboration. EXPERIENCE / REQUIREMENTS • Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent work experience)., • Proven experience (1.5 years) as a Python Developer, with a focus on web development., • Proficiency in the Flask framework and MongoDB database design and management., • Strong understanding of web technologies including HTML, CSS, Bootstrap, and JavaScript., • Experience building and consuming RESTful APIs., • Familiarity with containerisation technologies such as Docker., • Hands-on experience with cloud platforms, particularly AWS., • Knowledge of CI/CD tools such as Jenkins for automated deployments., • Solid understanding of version control systems, particularly Git., • Excellent problem-solving and analytical skills., • Strong communication and collaboration abilities. ADDITIONAL REQUIREMENTS • Occasional UK travel may be required to attend team or customer meetings, events, and training activities., • Flexible working arrangements are available; however, there is value placed on teams being co-located in offices. Applicants are encouraged to discuss what may be possible during the application stage.

Location: Remote (UK or Greece) Salary: Competitive, based on experience Job Type: Full-Time Working for Krotos We revolutionize sound creation by making Hollywood-quality sound accessible to everyone. Our groundbreaking software, featured in blockbuster productions like Avengers and Game of Thrones, empowers creators to design high-quality sound faster and more intuitively. Our mission is to change the way people design and perform sound. As a fast-growing, remote-first company, we are pushing the boundaries of creativity and innovation in content creation. The role Join our R&D team as an ML specialist to research, develop and ship technologies that change how people create sound. We're building systems that understand, manipulate and generate audio in ways that feel genuinely intuitive to professionals and we're nowhere near done. You'll own problems end-to-end, from identifying the right approach to getting it in front of customers, working closely with product to make sure what we build actually matters. Key objectives • Research and develop multimodal AI technologies that improve the way people work with sound, • Build and optimise LLM-powered audio pipelines and extend our Qwen-based vision model for audio production use cases, • Identify opportunities to apply the latest advances in generative AI and multimodal research to the professional audio field Responsibilities • Work within the team and research engineers to solve problems for film makers & sound designers, • Design and maintain backend inference systems that meet the latency and quality demands of professional audio workflows, • Collaborate with product and engineering teams to implement ML research in commercial products, • Work with the product owner to identify where ML creates the most value for customers, • Clearly and effectively communicate ML concepts, model behaviour and tradeoffs to the wider business, • Provide technical guidance on model architecture, fine-tuning strategy and deployment decisions Skills and experience Essential: • A degree in a relevant field or extensive professional experience, • Experience in commercial machine learning research and development, • Strong hands-on experience fine-tuning and adapting large language models (LoRA, QLoRA, PEFT, DPO/RLHF), • Experience working with data, training and evaluating machine learning models, • Experience with multimodal architectures — audio-language, vision-language, or both, • Extensive audio and signal processing knowledge — spectral features, neural codecs, generative audio models, • Experience deploying models to cloud inference (AWS or GCP) with awareness of latency and cost tradeoffs, • MLOps competency — experiment tracking, model versioning, evaluation pipelines, ML CI, • Experience with Python and modern ML frameworks (PyTorch, JAX), • Excellent verbal and written English communication skills, • Excellent analytical and problem-solving skills, • A desire to innovate and push current practice Desirable: • Experience with vision-language models, particularly Qwen-VL or similar, • Experience with Agile software development practices, • Familiarity with VST/AU plugin architectures and real-time audio constraints, • Experience delivering ML technologies shipped in commercial audio software, • Knowledge of sound design and audio post-production workflows, • C++ reading ability, • Previously registered audio machine learning patents Team Core Values Inventive. Driven. Transparent. Our values define who we are and how we work: • Honesty & Transparency: We communicate openly, share the truth even when it’s difficult, and build trust through clarity, • Team Player: We collaborate, support each other, and put collective success above ego, • Problem Solver: We face challenges head-on and find creative, practical solutions., • Open-Minded: We listen to others, consider different perspectives, and recognise the complexity of good decisions, • Politeness & Respect: We treat colleagues and customers with courtesy and professionalism, • Curiosity & Growth: We love learning, experimenting, and continuously improving, • Data-Driven: We let insights and evidence guide our decisions, not guesswork, • High Standards: We take pride in excellence and pay attention to the details that matter, • Strong Work Ethic: We commit, follow through, and work hard to achieve ambitious goals Benefits • Competitive salary and benefits package, • Private health insurance, • Opportunities for professional growth and development, • Flexible, remote working environment, • Access to cutting-edge technology and tools, • Exciting projects in a fast-growing, innovative company Next steps Send your CV and a cover letter to explaining why you are the best candidate for this role, referencing the requirements above and including two to three brief examples of relevant results. Note: All offers are subject to eligibility to work in the UK or Greece and satisfactory references. At Krotos, we value diversity and are committed to fostering an inclusive environment. We encourage applications from candidates of all backgrounds. Reasonable adjustments are available throughout the application and interview process.

Position Summary Be part of the mission to keep the UK safe. We work with Defence & Security clients on some of the most ambitious technology programmes in the country. Our teams are growing across Technology and Transformation — and if you hold UK DV-level Security Clearance, we’d love to hear from you. The Opportunity We’re looking for an experienced Senior Technology Consultant to help digitise defence — combining modern innovation with traditional military functions. You’ll work with clients to solve complex technology challenges, shape cloud strategies, and deliver scalable, secure environments for mission-critical system Key Requirements All applicants must hold active UK DV (Developed Vetting) Security Clearance. Core consulting capabilities: • Strong ability to provide pragmatic, clearly articulated solutions to complex business challenges, • Proven experience managing workloads, meeting deadlines, and delivering tangible results, • Confident communication skills with both technical and non-technical audiences, • Experience leading teams and managing deliverables, • Ability to assess and select vendors/products, • Strong understanding of cloud migration and architecture We’re looking for candidates with skills in one or more of the following areas: Cloud Architecture & Engineering • Cloud platforms: AWS, Azure, Google Cloud Platform, or OCI, • Container technologies (Docker, Rocket) and orchestration (Kubernetes, OpenShift, Rancher, Swarm), • Infrastructure as Code (Terraform, CloudFormation, ARM, GCP CDM), • CI/CD and cloud automation tooling, • DevOps philosophies and toolchains, • Linux and Windows automation frameworks (Ansible, Puppet, PowerShell, etc.), • Version control and deployment tools (Jenkins, SVN, GitHub), • Awareness of cloud security, performance, and non-functional requirements Cloud Consulting • Defining and delivering Cloud Strategy and Operating Models, • Developing business cases for cloud investment, • Product and service selection for cloud solutions, • Leading agile ceremonies and stand-ups, • Architecting and delivering cloud platforms, • Understanding and advising on emerging cloud technologies and challenges, • Maintaining strong relationships with cloud vendors (AWS, Azure, GCP) Technical Authoring • Translating architectural information into clear, technical documentation for engineering and development teams, • Publishing and maintaining network documentation using tools like Git or markup-based repositories, • Managing technical decision processes and facilitating backlog discussions About the Business – Technology and Transformation Distinctive thinking, deep expertise, and a collaborative mindset — that’s what defines us. Our Defence and Security teams support clients to make the UK a safer place. From organisational change and programme management to advanced technology integration, we help clients deliver their mission through innovation and precision. Location and Working Model You’ll be based in Bristol, London, or Manchester, with hybrid working. We understand the importance of balance - so you’ll have the flexibility to work in the office, remotely, or on client sites as needed. Collaboration and connection remain key, but we support adaptable work styles that help you perform at your best.

🧠 Data Scientist: Machine Learning & Python Specialist 🐍 Python Developer Location : London Work mode : Onsite Experience: 2–5 years UK based candidates only - CITIZEN & DEPENDENTS We are seeking an innovative and results-driven Data Scientist with a strong focus on Machine Learning and deep proficiency in Python. You will be instrumental in transforming complex data into actionable insights, building predictive models, and driving business strategy using cutting-edge analytical techniques. This role is for a hands-on individual who is excited to move models from the lab into production. Key Responsibilities • Model Development & Implementation: Design, develop, train, validate, and deploy advanced Machine Learning models (e.g., classification, regression, clustering, deep learning) to solve complex business problems., • Data Wrangling & Analysis: Perform comprehensive Exploratory Data Analysis (EDA), data cleaning, feature engineering, and transformation on large, complex, and sometimes unstructured datasets., • Coding & Automation: Write production-quality, highly efficient, and scalable code primarily in Python for data processing, analysis, and model creation., • Experimentation & Optimization: Conduct A/B testing, hypothesis testing, and rigorous model validation, continually iterating and tuning algorithms to maximize performance, accuracy, and efficiency., • Collaboration & Communication: Work closely with cross-functional teams (e.g., product managers, engineers, business stakeholders) to define project scope, interpret model results, and clearly present data-driven recommendations to both technical and non-technical audiences., • Deployment & MLOps: Collaborate with ML/Data Engineers to deploy, monitor, and maintain ML models in a production environment, ensuring stability and performance over time. Required Skills and Qualifications Technical Expertise (The Core) • Programming: Expert proficiency in Python and its core data science libraries: Pandas, NumPy, and SciPy., • Machine Learning: Deep, practical experience with popular ML frameworks and libraries: scikit-learn, TensorFlow, or PyTorch., • Statistics & Math: Strong foundation in statistical modeling, probability, hypothesis testing, regression analysis, and multivariate calculus/linear algebra for understanding model mechanics., • Databases & Querying: Proficiency in SQL for extracting, manipulating, and preparing data from relational databases. Experience with NoSQL databases is a plus., • Big Data/Cloud: Experience with big data tools (Spark, Hadoop) and cloud computing platforms (AWS, Azure, or GCP) for scalable ML workflows., • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field., • [Number] years of professional experience as a Data Scientist or in a highly quantitative role. Soft Skills (Your X-Factor) • Curiosity: A strong passion for data and an inherent curiosity to explore, question, and challenge assumptions., • Problem-Solving: Excellent analytical and structured thinking skills to tackle complex, ambiguous business problems., • Storytelling: The ability to translate complex statistical and ML outputs into simple, business-relevant narratives and recommendations.

The Opportunity ProCheckUp, an elite independent cybersecurity consultancy serving FTSE 100 corporations, UK government authorities, and international financial institutions, is seeking an experienced Penetration Tester with SC Clearance to join our expanding remote team. This is an exceptional opportunity to conduct high-impact security assessments across diverse enterprise environments while maintaining work-life balance through flexible remote working. You'll contribute to ProCheckUp's ambitious expansion phase, working alongside industry-leading security professionals on mission-critical infrastructure, applications, and network security testing for the UK's most security-conscious organizations. What You'll Do Core Responsibilities: • Conduct advanced penetration testing across network infrastructure, web applications, and mobile platforms for enterprise clients, • Perform vulnerability assessments, threat modelling, and risk analysis across diverse technical environments, • Execute social engineering assessments and physical security testing, • Produce detailed scoping documents and executive-level penetration testing reports aligned with CREST and NCSC standards, • Lead incident response investigations and digital forensic analysis when required, • Work independently on client-facing assessments whilst collaborating with senior consultants and team leaders, • SCADA/OT environment security testing, • Cloud infrastructure penetration testing (AWS, Azure), • Web services and API security, • Mobile application testing (iOS/Android) Who You Are Essential Experience & Skills: • Minimum 3+ years professional penetration testing experience, • Demonstrable expertise in network, application, and infrastructure security testing, • Strong hands-on proficiency with penetration testing frameworks, exploitation techniques, and security tools (Metasploit, Burp Suite, Wireshark, custom tools), • Deep technical knowledge of Windows, Linux, Unix operating systems and TCP/IP networking protocols, • Proven ability to perform source code reviews and application security analysis, • Advanced understanding of web application vulnerabilities (OWASP Top 10) and mitigation strategies, • Excellent report writing and executive communication skills—ability to translate technical findings into business risk, • Ability to work autonomously and adapt to client-specific environments, • CREST/CyberScheme CCTM/CSTM CCT/CSTL-INF or CCT/CSTL-APP (current), • NCSC CHECK Team Leader (CTL) (current) or CHECK Team Member (CTM) (current) preferred but not essential, • CEH Advanced (AECH) or OSCP, • SANS GCIH, GPEN, or GWAPT, • EnCase Certified Examiner (EnCE), • CWSP (Certified Wireless Security Professional), • Published security research, CVE disclosures, or white papers, • Curiosity and passion for emerging security threats and attack methodologies, • Drive to mentor junior consultants and contribute to technical innovation, • Professional demeanour with excellent client-facing communication, • Attention to detail in all deliverables, particularly technical reports and evidence documentation Why ProCheckUp? ✓ Proven Track Record: 25+ years delivering security services to world-leading organisations; holders of NCSC CHECK, CREST, PCI QSA, and PCI ASV accreditation's ✓ Prestigious Client Base: Work directly with FTSE 100 companies, UK government bodies, international law firms, and critical infrastructure operators ✓ Technical Leadership: Collaborate with industry experts who publish research, present at major conferences, and drive the cybersecurity industry forward ✓ Flexibility & Autonomy: Remote-first working with complete location flexibility across the UK—work from home, co-working spaces, or client sites as you prefer ✓ Career Progression: Clear advancement pathway from Consultant → Senior Consultant → Team Leader → Technical Director; investment in advanced certifications and professional development ✓ Competitive Remuneration: Market-leading salary package (£65,000–£85,000+ depending on experience and certifications) plus comprehensive benefits ✓ Backing of a Stable, Well-Funded Firm: Work for an independent, profitable, growth-focused security consultancy—not a commodity testing mill ✓ Continuous Learning: Access to research funding, certification sponsorship, conference attendance, and exposure to cutting-edge threat landscapes The Application Process This is a carefully selected search—we're looking for genuine penetration testing professionals with the technical depth to advise enterprise clients, not script-runner-test shops. To Apply: • Submit your CV (including certifications, security clearance status, and estimated clearance renewal date), • Write a brief covering letter (150–250 words) addressing:, • Why ProCheckUp's mission and client base appeal to you, • Your remote working setup and availability (notice period, start date), • Screening call with HR (15 mins): Verify background, clearance status, and role fit, • Technical interview with Senior Consultant (45 mins): Deep-dive on penetration testing methodology, recent case studies, and security trends, • Final interview with Hiring Manager/Technical Director (30 mins): Culture fit, growth ambition, and team dynamics Logistics | Position Type | Full-Time, Permanent | | Location | Remote, United Kingdom | | Security Clearance | SC (Minimum) | | Working Arrangements | Flexible remote; occasional travel for client engagements | | Salary | £65,000–£95,000+ based on experience, certifications, and client-facing impact | | Benefits Package | Competitive pension, health insurance, professional development budget, | | Notice Period | 2-8 weeks preferred; negotiable for exceptional candidates | About ProCheckUp Founded in 1999, ProCheckUp has evolved from a specialist penetration testing firm into a multi-disciplinary cybersecurity consultancy trusted by the world's most security-conscious organizations. Our team of CHECK Team Leaders, CREST Certified Testers, and forensic specialists delivers: • Penetration Testing & Security Audits: Infrastructure, application, and mobile assessments, • Compliance Advisory: PCI DSS, GDPR, ISO27001 implementations and certifications, • Incident Response & Forensics: 24/7 emergency response and digital evidence analysis Equal Opportunities ProCheckUp is an equal opportunities employer. We celebrate diversity and are committed to building an inclusive environment for all employees, regardless of gender, race, ethnicity, religion, disability, age, sexual orientation, or gender identity. We encourage applications from underrepresented groups in cybersecurity. Security Vetting: All successful candidates will be subject to UK security vetting procedures. Applicants must have resided in the UK for the last 5+ years to be eligible for SC clearance (or provide documented reasons for absence). Previous security clearance experience is valued but not essential. *

TalentCo are delighted to be partnering with an established PE-backed tech company looking to hire a high-calibre Lead Software Engineer into their UK business, as they build a new conversational AI platform from the ground up. This hire can be based predominantly from home anywhere in the UK, with occasional trips to meet the team, but with plenty of flexibility to suit individual circumstances. The client are developing a low-code, multi-tenant platform that enables large enterprises to design, build and deploy AI agents capable of handling both single-step LLM tasks and complex multi-step agentic workflows. As Lead Software Engineer you will: • Set the software engineering standards for this newly formed team of 4., • Operate roughly as follows: 70% hands-on software development, 30% tech lead responsibilities., • Develop scalable backend services for multi-tenant execution of AI agents., • Deploy LLM-based applications and agentic workflows at scale. We want to hear from you if: • You have 5+ years of hands-on experience building production applications, with at least 2 years as a Lead Software Engineer, Technical Lead or Software Engineering Lead, • You're an expert when it comes to backend development using Python, building systems at scale, • Strong knowledge of cloud infrastructure (AWS, GCP, or Azure) and scalable architectures., • Bonus points if you have high-volume, low-latency message processing and Kubernetes experience, • You do NOT need previous AI experience, but you definitely need a keen desire to build AI products. What do they offer? • Salary £120k-£150k, • Comprehensive benefits package, • Remote-first setup anywhere in the UK, with occasional travel to the company HQ just north of London

Amazon Connect Developer – Outside IR35 - remote in the UK I’m working with a business who are building out their AWS contact centre capability and are looking for an experienced Amazon Connect Developer to take ownership of designing and developing voice solutions. This is a hands-on role with a strong element of thought leadership, where you’ll be shaping how Amazon Connect is used across the business, while also getting into the detail of building and delivering voice flows. Responsibilities • Design and build IVR and voice flows within Amazon Connect, • Take ownership of the AWS contact centre platform, driving best practice and improvements, • Act as a technical lead, providing guidance on architecture and solution design, • Gather and translate business requirements into scalable technical solutions, • Work closely with internal teams and nearshore partners to deliver solutions, • Support and influence vendor/partner engagement, including capability discussions, • Contribute to the overall Amazon Connect strategy and roadmap, • Ensure solutions are robust, scalable, and aligned with AWS best practices What they’re looking for • Proven experience building and delivering solutions in Amazon Connect, • Strong hands-on experience with IVR / voice flow development, • Experience working within AWS environments (Lambda, Lex, etc. beneficial), • Ability to operate as both a developer and technical lead, • Experience gathering requirements and translating into technical delivery, • Comfortable working in a client-facing / stakeholder environment, • Someone who can bring ideas, structure, and leadership, not just delivery

Staff Software Engineer – AI/ML (Agentic AI) Engineering | UK Remote / London (hybrid) Overview My client is a fast-growing, product-led technology company investing heavily in AI and next-generation machine learning solutions. They are seeking a Staff Software Engineer with experience in agent-based AI systems to help design and deliver advanced AI-driven products. The Role This is a hands-on technical leadership role focused on building scalable AI/ML systems, with a particular emphasis on agentic AI and modern machine learning approaches. You will play a key role in shaping technical direction, establishing best practices, and delivering high-quality systems from concept through to production. The role also involves mentoring engineers and contributing to the growth of a high-performing team. Key Responsibilities Project Ownership • Lead the design and delivery of AI/ML initiatives across the full lifecycle, • Build and deploy models, data pipelines, and production systems Cross-Functional Collaboration • Work closely with Engineering, Product, and DevOps teams, • Support integration of AI capabilities into wider platforms Technical Leadership • Provide guidance on AI/ML frameworks, tools, and best practices, • Contribute to the development of agent-based AI systems and workflows Mentorship & Communication • Mentor engineers and support technical development, • Promote strong collaboration across teams Problem Solving & Optimisation • Identify and resolve challenges in AI/ML systems, • Improve performance, scalability, and reliability Governance & Quality • Ensure high standards around model performance, data quality, and compliance Documentation & Knowledge Sharing • Maintain clear documentation and contribute to internal best practices Skills & Experience • 7+ years’ experience in AI/ML engineering, including production systems, • 3+ years in a technical leadership role, • Strong programming skills (e.g. Python or similar), • Experience with machine learning, data pipelines, and scalable systems, • Knowledge of modern AI approaches, including large language models and agent-based systems, • Experience working with cloud platforms (AWS, GCP, or Azure), • Understanding of distributed systems and scalable architectures, • Experience with CI/CD, microservices, and MLOps practices, • Ability to mentor and support engineers, • Strong collaboration and communication skills, • Experience working in Agile environments, • Degree in a relevant technical field (or equivalent experience) Tech Environment (indicative) • Backend languages (e.g. Python or similar), • Cloud platforms (AWS / GCP / Azure), • Containerisation and orchestration tools, • Infrastructure as code, • Observability and ML tooling, • Modern AI/LLM frameworks, • Relational and non-relational databases, • Version control and CI/CD tooling Benefits • Competitive salary, • 25 days’ annual leave + bank holidays, • Sick pay package, • Flexible / remote working, • Enhanced parental leave, • Pension scheme, • Career development opportunities Additional Information This role is not eligible for visa sponsorship.

Maintain and improve AWS cloud infrastructure for 24/7 bank operations, focusing on stability, performance, security, and compliance.Enhance connectivity between AWS accounts, client, and third parties to ensure secure and reliable customer experiences.Design and create automation scripts and toolin

🚀 Senior Full Stack Engineer | Hybrid | £100,000 + Equity Location: London (Hybrid) Salary: Up to £100,000 + Equity About the Company We’re partnering with a high-growth, venture-backed AI company building a category-defining platform transforming how enterprise organisations automate complex, manual workflows. Their product enables global teams to generate, validate, and scale client-ready outputs using AI-driven systems. Following a significant funding round and rapid early traction, they are now scaling their engineering team to support the next phase of growth. The Role We are looking for a Senior Full Stack Engineer to join a high-performing, product-focused engineering team. This is a hands-on role where you’ll operate across the full stack — working on data-intensive applications, backend systems, and user-facing interfaces. You’ll play a key role in designing and building scalable systems, APIs, and frontend components that power AI-driven workflows. You will work closely with founders, product, and ML teams to deliver high-impact features in a fast-paced, high-ownership environment. Key Responsibilities • Design and build scalable backend services and APIs (Python preferred), • Develop and maintain frontend applications using React / Next.js, • Work on data-intensive systems and contribute to data pipeline design, • Collaborate with ML teams to integrate AI-driven features into production, • Ensure performance, scalability, and reliability across the platform, • Implement CI/CD pipelines, monitoring, and observability practices, • Contribute to infrastructure and deployment across cloud environments (AWS, GCP, or Azure), • Work cross-functionally with product, design, and engineering teams to deliver features end-to-end Requirements • 5+ years of software engineering experience, • Strong backend experience (Python preferred), • Solid frontend experience (React / Next.js or similar), • Experience building scalable, production-grade applications, • Strong understanding of databases (SQL and/or NoSQL), • Experience working with cloud platforms (AWS, GCP, or Azure), • Familiarity with containerisation (Docker, Kubernetes) and CI/CD pipelines, • Strong problem-solving skills and ability to work in a fast-paced environment Desirable Experience • Experience working with AI/ML systems or data-heavy applications, • Familiarity with background processing tools (Celery, RQ, etc.), • Experience with Redis (caching, pub/sub, job queues), • Experience working in high-growth startups or product-led environments Why Join • Competitive salary (£100,000) + meaningful equity, • Work directly with experienced founders and a high-calibre team, • High-impact role with ownership across the stack, • Opportunity to build and scale a cutting-edge AI product, • Fast-paced, collaborative, and ambitious environment If you’d like to hear more, feel free to get in touch.

Job Title - Senior Office 365 Engineer Location - London UK Experience - 5+ Years of Experience Job Type - Full Time Permanent • 5+ years of equivalent work experience., • Hands-on experience engineering and administering Microsoft Office 365 (Exchange Online, Outlook, Office, OneDrive, SharePoint Online, Microsoft Power Platform, Azure, Scripting, Active Directory, Archiving Services)., • Strong experience managing cloud environments (Azure, AWS, GCP), including security groups, resource groups, load balancers, storage, backup & recovery, and networking., • Experience configuring Azure resources such as Virtual WAN, Application Gateway, Route Tables, and Azure Policy., • Proficiency with PowerShell and C# to create automation and runbooks (e.g., System Center Orchestrator)., • Experience with Azure DevOps, including CI/CD pipelines, service connections, and self-hosted agents., • Experience deploying Azure resources using Infrastructure as Code (ARM templates, Bicep, Terraform)., • Experience configuring private endpoints and private DNS zones at scale., • Working knowledge of version control systems, especially Git and GitHub., • Experience with Office 365 User, license, and group management., • Familiarity with security components specific to Azure Information Protection (AIP), Data Leakage Prevention (DLP), Advanced eDiscovery, and Conditional Access capabilities., • Exposure to other infrastructure areas including Active Directory, VMware, Storage, Backup & Recovery, SQL Server, Azure Cloud Services, etc., • Strong hands-on technical skills, an analytical problem-solving mindset, delivery focus, and client orientation are all critical for this role., • Extensive experience managing enterprise-scale Microsoft 365 and hybrid cloud environments, ensuring reliability, security, and scalability., • Proven expertise in supporting complex, multi-tenant or global environments., • Demonstrated ability to develop and implement large-scale, complex technology solutions.

Detection & Automation Engineer My client is a leading global financial institution, renowned for its scale, complexity, and commitment to innovation in security. This is a unique opportunity to join a world-class cyber team at the heart of a highly regulated, global organisation. As a Detection & Automation Engineer, you will play a key role in evolving the organisation’s security operations capability toward a more modern, engineering-led model. This is a hands-on position focused on building scalable detection and response solutions, rather than traditional alert monitoring or manual SOC activities. You'll also act as a technical, leader. You will work across the full detection lifecycle, designing, building and deploying detection logic using an engineering-led, pipeline-based approach. The role is centred around “detection as code,” applying software engineering and DevSecOps principles to security operations to create repeatable, high-quality outcomes. You’ll collaborate closely with SOC, threat intelligence and engineering teams to ensure detections are effective, actionable and aligned to real-world threats. Alongside hands-on delivery, you will provide technical leadership within the team, helping shape best practices, guiding approaches to detection engineering and automation, and acting as a key subject matter expert within the function. This is leadership through expertise and ownership, rather than formal line management. This is an opportunity to join a highly mature environment that is actively investing in automation, scalability and the future of security operations, ideal for someone who enjoys building, improving and engineering security capability at scale. Key Requirements • Strong background in security engineering, detection engineering or DevSecOps, • Hands-on experience building detections within SIEM platforms, • Experience working with automation and orchestration tooling (SOAR or similar), • Strong coding / scripting ability (Python or similar) with experience building automation workflows, • Experience working in cloud environments (AWS, Azure or GCP) and understanding cloud-native security, • Familiarity with engineering-led approaches (e.g. version control, pipelines, automation practices), • Good understanding of security operations, threat detection and attacker behaviour, • Experience working in complex or regulated environments (financial services beneficial but not essential), • Ability to build scalable, repeatable solutions rather than one-off detections, • Ability to influence technical direction and contribute to best practices within a team Location: Surrey (3 days onsite)

Senior Manager – ServiceNow Architect Location: London (hybrid) Salary: £100,000 - £115,0000 (total package £130,000) Shape the Future of Enterprise Transformation Join a high-performing, forward-thinking team where innovation, collaboration, and continuous learning are at the core of everything we do. This is an opportunity to work in an environment that values diverse perspectives, encourages bold thinking, and provides the platform to accelerate your career without limits. We are seeking a Senior Manager – ServiceNow Architect to lead the design and delivery of cutting-edge ServiceNow solutions for global clients. You will play a critical role in driving large-scale digital transformation programmes, leveraging cloud technologies and AI to deliver meaningful business outcomes. About the Role As a Senior Manager, you will combine deep technical expertise with strategic leadership. You’ll work closely with senior stakeholders to architect innovative solutions, guide delivery teams, and help organisations unlock the full potential of the ServiceNow platform. You will also contribute to shaping go-to-market offerings, driving growth, and positioning the organisation as a leader within the ServiceNow ecosystem. Key Responsibilities • Lead the architecture and delivery of complex ServiceNow implementations, • Translate business requirements into scalable, secure, and high-performing technical solutions, • Act as a trusted advisor to senior stakeholders, providing strategic guidance and clear recommendations, • Manage and mentor teams of ServiceNow developers and architects, ensuring high standards of delivery, • Establish and enforce best practices through code reviews and architectural governance, • Identify opportunities to expand client engagements and deliver additional value, • Drive innovation through adoption of emerging technologies including AI and Generative AI, • Support capability development through coaching, training, and certification initiatives What You’ll Bring • Extensive experience in ServiceNow architecture and platform delivery, • Certified ServiceNow Technical Architect (CTA) or strong ambition to achieve Certified Master Architect (CMA), • Proven leadership experience managing and mentoring technical teams, • Deep expertise across multiple ServiceNow product lines beyond ITSM (e.g. ITOM, ITAM, HRSD, CSM, SPM), • Strong experience operating within a Technical Design Authority or similar governance framework, • Advanced technical skills in JavaScript, SQL, and integrations (APIs, web services), • Experience integrating ServiceNow with major cloud platforms (AWS, Azure, or GCP), • Minimum of 5 ServiceNow CIS certifications, • Background in enterprise technology or consulting environments Desirable Skills • Cloud migration experience, • Exposure to Generative AI and AI-driven solutions, • ITIL v4 (or equivalent) certification, • Eligibility for UK Security Clearance (SC) Why Join Us? • Work on some of the most exciting ServiceNow programmes in the market, • Be part of a collaborative, innovation-led culture, • Access industry-leading training and certification opportunities, • Accelerate your career with clear progression pathways, • Make a tangible impact on global organisations undergoing digital transformation

The Opportunity We’re partnering with a high-performance quantitative technology firm building front-office pricing and risk infrastructure used directly by portfolio managers and traders at leading hedge funds and asset managers. This is not a support or library role. You will be developing production pricing and risk analytics that drive live trading decisions, with direct exposure to front-office users and real PnL impact. If you're currently in a bank and want: • Closer proximity to trading and PMs, • Faster iteration and less bureaucracy What You’ll Do • Build and enhance pricing models and analytics for Interest Rate Derivatives (swaps, curves, discounting frameworks), • Deliver low-latency, production-grade pricing and risk services used in live trading environments, • Work directly with portfolio managers, traders, and quant researchers to shape analytics and tools, • Contribute to a high-performance cross-asset platform (Rates, FX, Credit, Equities, Commodities), • Improve performance, scalability, and robustness of real-time systems, • Develop research tooling and workflows in Python to accelerate quant iteration, • Help evolve a modern cloud-native (AWS) analytics stack Tech Environment • C# (core platform), integrated with high-performance C++ analytics libraries, • Python for research, prototyping, and user workflows, • Distributed systems running on AWS, • Focus on performance, scalability, and clean architecture What We’re Looking For We’re particularly interested in candidates currently in front-office or front-office-aligned quant/dev roles within banks who want to move closer to end-users and decision-making. • 3+ years in a front-office quant development or strat role, • Strong experience with C# and Python (C++ highly beneficial), • Solid understanding of Interest Rate Derivatives:, • Swaps, yield curves, discounting, • Pricing frameworks and risk measures, • Strong software engineering fundamentals:, • Data structures, algorithms, performance optimisation, • Background in Quantitative Finance, Mathematics, Physics, or similar Why Make the Move from a Bank? • Direct impact on trading decisions rather than supporting large legacy systems, • Tighter feedback loop with traders and PMs, • Less siloed environment, more ownership across the stack, • Exposure to buy-side workflows and multi-asset strategies, • Work on a modern, cloud-native platform, not legacy infrastructure What Makes This Role Stand Out • Front-office analytics used daily by top-tier hedge funds and asset managers, • A combination of quantitative modelling + production engineering, • Opportunity to work across multiple asset classes, • High-calibre, low-ego team with strong technical depth, • Competitive compensation aligned with impact Who This Suits This role is ideal for a front-office quant developer in a bank who: • Enjoys building robust, production-grade analytics, • Values clean, high-performance systems, • Prefers ownership and impact over process and hierarchy

Senior Site Reliability Engineer 📍 UK (remote or hybrid) Join a market leader in unified IT operations, helping IT teams automate, manage, and remediate within a single modern interface. We’re hiring a Senior SRE to scale our client’s platform to support millions of global users. You’ll ensure systems are secure, reliable, and scalable—working with modern cloud tech and a dedicated SRE team. What You’ll Bring: • 10+ years’ experience in Site Reliability Engineer roles, • Expert+ level Linux administration, scripting, and troubleshooting, • Demonstrable knowledge of Observability tools (Prometheus/Grafana, New Relic, Splunk, DataDog), • Comprehensive experience with AWS (Amazon Web Services) and its core capabilities (VPC, EC2, ECS, Route53, Fargate, ALB/NLB distributions, etc), • Extensive experience with cloud automation and infrastructure-as-code (IaC) toolsets, primarily CloudFormation but also including Terraform, Helm and Ansible. CDK a plus., • Good understanding of containers, Fargate, Kubernetes, and overall distributed microservice architectures, • Passionate about automation, security, and self-service environments/portals, • Hands-on experience with CI/CD and SDLC (Software Development Life Cycle) processes Must be based in the UK with no need for sponsorship. Apply now to join a high-impact, platform engineering team!

We’re working with a large enterprise client to appoint an AI Engineering Manager to lead the delivery of enterprise-scale AI solutions, with a focus on LLMs, AI agents, and GenAI platforms. This is a technical leadership role—not hands-on coding day to day, but requiring sufficient depth to challenge design decisions, assure quality, and guide senior engineers. The Role You’ll be responsible for building and leading an AI engineering function, owning delivery from early experimentation through to production deployment, and partnering closely with architecture, product, and governance teams. Key Responsibilities • Own the technical direction of LLM and AI agent initiatives, • Lead and mentor AI engineers delivering enterprise-scale solutions, • Translate business problems into robust AI architectures, • Ensure AI systems are secure, scalable, and production-ready Required Experience • Proven leadership in managing technical teams and complex delivery, • AI delivery experience, including GenAI, LLM-based systems, AI agents, or conversational AI, • Strong technical foundation in software engineering principles (Python preferred), • Business-focused mindset, able to evaluate AI initiatives through an ROI lens, • Cloud and AI knowledge, including LLMs, RAG, prompt engineering, and modern AI tooling, • Solid Python knowledge, • Familiarity with Claude and similar frontier models, • Production experience using LangChain, • PhD, MSc or BSc in a AI/ML or similar discipline Desirable • RAG architectures, embeddings, and vector databases, • Prompt management, evaluation, and observability, • Cloud deployment (AWS, Azure, or GCP), • Enterprise concerns: security, governance, and cost control, • Strong stakeholder communication and technical decision-making

📍 Remote | Full-Time 👋 About Us Medify is a mission-driven EdTech company widening access to medicine and healthcare careers. Our platform supports thousands of learners preparing for high-stakes admissions exams, and our engineering team plays a critical role in delivering reliable, scalable, and high-quality learning experiences. Medify Engineering is a team of ten engineers across two teams, and everyone is hands on, including engineering management and the CTO, which helps us keep our processes practical and engineer-friendly. We work to minimise meetings: engineers typically have a 15-minute daily standup for in-progress updates and quick alignment with Product, plus (per two-week sprint) a one-hour refinement with Product, a one-hour planning session with engineering, and a 30-minute company-wide demo. Operational work like deployments, bug triage, and on-call is handled on a rotation, with each person covering one week roughly every two months. 🎯 The Role As a Senior Full Stack Engineer at Medify, you will play a pivotal role in shaping our platform and technical direction. Working closely with the CTO and fellow engineers, you’ll be involved across the full software development lifecycle - from ideation and design through to development, testing, and deployment. This is a fully remote, home-based role, suited to someone who enjoys ownership, collaboration and solving complex problems in a fast-moving environment. Tech stack: Ruby on Rails (backend), frontend transitioning from Ember to React, Postgres database, hosted on AWS. 🧩 Key Responsibilities • Design and develop high-quality, scalable, and efficient software solutions using modern best practices, • Collaborate closely with Product and Design teams to understand requirements and provide technical input, • Contribute to architectural decisions and overall system design, • Conduct code reviews and provide constructive feedback to maintain high code quality, • Troubleshoot, diagnose, and resolve software issues efficiently, • Develop and maintain automated tests to ensure performance and reliability, • Mentor junior engineers and share technical knowledge and best practices, • Participate in agile planning, backlog management, and delivery updates, • Stay up to date with emerging technologies and software development best practices, • Support recruitment by contributing to interviews and selection decisions 🧠 Core Competencies • Excellent problem-solving and analytical skills, • Strong communication and collaboration skills, • Ability to thrive in a fast-paced, agile environment, • Leadership and mentoring capability, • High attention to detail and quality 🎓 Qualifications • BS/MS degree in Computer Science, Engineering, or a related field is desirable but not required 🛠️ Experience & Knowledge • 5+ years’ experience in software development, • Extensive experience with modern programming languages and frameworks, • (Ruby on Rails and React highly desirable), • Proven track record of building scalable, efficient software systems, • Strong understanding of the software development lifecycle and agile methodologies, • Experience working with cross-functional teams (Product, Design, Engineering), • Experience recruiting and mentoring junior engineers is a plus 💡 Skills • Proficiency in modern programming languages and frameworks, • Strong grasp of data structures, algorithms, and software design principles, • Experience with databases, APIs, and networking, • Knowledge of software testing methodologies and tools, • Familiarity with DevOps practices and tooling, • Ability to learn and adapt quickly to new technologies, • Clear, confident written and verbal communication ✅ What We Offer • Competitive salary: £70,000–£85,000 depending on experience, • Annual leave: 25 days, rising to 28 days over three years, • Fully remote, flexible working, • Pension scheme, • Professional development sponsorship and matched charity funding, • Private health and dental care after one year of employment

About Veridox Veridox works with some of the largest insurers, airlines, law firms, and financial institutions in the world to detect fraud in documents and images. When a customer submits a receipt, ID document, or damage photograph, our platform determines whether it is genuine, tampered with, or AI-generated and, critically, explains why with clear, verifiable evidence. We’re replacing manual processes with multi-agent AI that reasons more like a human forensic analyst and we're now scaling rapidly. Our Culture We are, first and foremost, builders. Our team is mature and professional, placing significant emphasis on humility, collaboration, and accountability. We operate as a collective: the success of the team takes precedence, we solve challenging problems together, and we share the credit uniformly. We seek individuals driven by the success of the overall system and the team, rather than individual accolades. While our internal environment is relaxed and highly collaborative, we maintain strong professionalism in our routines and customer interactions. We want autonomous, reliable engineers who take immense pride in their craft and aren’t afraid to take ownership directly in front of large enterprise customers. The Role You will be the key owner for the development and deployment of our agentic document analysis systems. Your work will extend significantly beyond simple prompt engineering; you will be architecting the resilient infrastructure required for our Large Language Models (LLMs) and Small Language Models (SLMs) to reliably ingest, process, and reason over complex documents at scale. We are looking for an engineer who not only understands how to construct robust production systems today but also possesses the strategic vision to guide our transition toward a fully agentic, skill-utilising platform in the future. Key Responsibilities • Build, deploy, and maintain highly resilient, asynchronous workflows using Azure Durable Functions (Python 3.14)., • Develop and iterate on agentic systems utilising LiteLLM, Vertex AI (Gemini Preview & GA Models), and Gemini 2 Embeddings., • Design and optimise retrieval pipelines using AWS OpenSearch., • Containerise applications using Docker and manage infrastructure-as-code deployments via Terraform., • Collaborate closely with our platform teams, competently engaging in discussions about system architecture and integrating with NodeJS APIs., • Lead technical discussions with enterprise customers, owning your systems and explaining complex AI concepts with clarity and professionalism. What You'll Bring • Deep expertise in Python and cloud-native architecture (specifically handling the complexities and nuances of Azure Durable Functions)., • Proven experience building and deploying production-grade LLM applications, moving substantially beyond experimental setups or Jupyter notebooks., • Strong understanding of agentic design patterns (including tool calling, routing, and state management)., • A true "builder's mentality": you must be trusted with the autonomy to take a feature from initial concept through to a hardened production deployment., • Exceptional professional courtesy, communication skills, and a willingness to stand confidently behind your work in front of clients. Why Join Us? • Build systems that matter: We aren't building toy wrappers. We are deploying AI into high-stakes environments where your engineering directly solves complex, enterprise-scale problems., • Autonomy with support: We hire experts and trust them. You will have the autonomy to design, build, and deploy end-to-end, backed by a collaborative team that has your back when things get difficult., • The best of both worlds: Enjoy a safe, relaxed, and genuinely fun internal culture combined with a fierce commitment to professional excellence and customer success., • No red tape, just engineering: We minimise bureaucracy so you can focus on what you do best: writing great code, building resilient cloud architecture, and pushing the boundaries of AI infrastructure.

Technical Lead – Outside IR35 - Remote in the UK I’m working with a business who are building out their AWS contact centre capability and are looking for an experienced Amazon Connect Developer to take ownership of designing and developing voice solutions. This is a hands-on role with a strong element of thought leadership, where you’ll be shaping how Amazon Connect is used across the business, while also getting into the detail of building and delivering voice flows. Responsibilities • Design and build IVR and voice flows within Amazon Connect, • Take ownership of the AWS contact centre platform, driving best practice and improvements, • Act as a technical lead, providing guidance on architecture and solution design, • Gather and translate business requirements into scalable technical solutions, • Work closely with internal teams and nearshore partners to deliver solutions, • Support and influence vendor/partner engagement, including capability discussions, • Contribute to the overall Amazon Connect strategy and roadmap, • Ensure solutions are robust, scalable, and aligned with AWS best practices What they’re looking for • Proven experience building and delivering solutions in Amazon Connect, • Strong hands-on experience with IVR / voice flow development, • Experience working within AWS environments (Lambda, Lex, etc. beneficial), • Ability to operate as both a developer and technical lead, • Experience gathering requirements and translating into technical delivery, • Comfortable working in a client-facing / stakeholder environment, • Someone who can bring ideas, structure, and leadership, not just delivery

Purpose of the Role As a Forward Deployed Engineer, you’ll sit at the front lines of customer success and product innovation. Your mission is to shape customer outcomes by bridging Authsignal’s product capabilities with real-world integration needs. You’ll help enterprises and startups deploy secure identity solutions, create scalable developer resources, and deliver trusted experiences worldwide. ‍ What You’ll Do • Drive customer integrations - guide enterprises and high-growth startups in deploying Authsignal into their systems (CRMs, SaaS platforms, bespoke stacks)., • Shape developer experience - contribute to SDKs, libraries, connectors, and sample code to accelerate adoption., • Be customer-facing - support pre-sales demos, proof-of-concepts, and post-sales implementations (including international travel as needed)., • Create scalable content - produce developer resources (docs, blogs, Looms, video walkthroughs) to reduce friction and empower self-service. What You Bring • Background in solution engineering, systems integration, or pre-sales engineering., • Hands-on experience with APIs, SDKs, and enterprise software integration., • Excellent communicator, confident in front of customers and comfortable explaining complex technical solutions., • Experience in creating content (docs, blogs, videos) or willingness to grow in this area., • Bonus: familiarity with identity, MFA, passkeys, or security concepts. How We Define Success • Seamless delivery of customer integrations and reduced friction in sales cycles., • Increased adoption of Authsignal SDKs, connectors, and developer resources., • Creation of scalable, reusable technical content., • Strong customer feedback and measurable impact on customer success. Qualifications • Bachelor’s degree in Computer Science, Engineering, or equivalent experience., • Proven experience in a customer-facing technical role. Tech Stack & Tools • Languages & frameworks: JavaScript/TypeScript, REST/GraphQL APIs, • Developer Tools: GitHub, Postman, API documentation frameworks, • Content Tools: Loom, Markdown, blogs, docs-as-code workflows

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a leading provider of SaaS analytics solutions for cloud-based communication platforms, helping service providers and enterprises gain actionable insights from their telephony and collaboration data. Our solutions span Microsoft Teams, Cisco BroadWorks, Webex Calling, and CRM integrations — delivering real-time and historical analytics that improve customer experience and business performance. We are expanding our platform to include advanced AI capabilities — voice and chat assistants, intelligent analytics, and predictive insights — and are seeking an AI Engineer to define and deliver this vision. Job Summary & Purpose Own and drive Akixi’s AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi’s products and analytics platforms. As the AI Engineer, you will define and execute Akixi’s AI roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You’ll partner with Product, Data, and Platform Engineering to design and integrate AI-driven capabilities such as voice/chatbots, natural-language analytics, and predictive models. This role balances strategic technical direction with hands-on implementation, ensuring Akixi’s AI initiatives deliver tangible business and customer outcomes. Key Responsibilities • Lead the definition and delivery of Akixi’s AI strategy and technology roadmap., • Architect scalable AI solutions integrated into Akixi’s SaaS analytics platform., • Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics., • Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour., • Conduct research, proof-of-concepts, and feasibility studies for emerging AI technologies., • Collaborate with Product Management to scope AI features and align them with business goals., • Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines., • Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components., • Establish standards for AI code quality, ethics, and data governance., • Mentor engineers working on AI-related projects, fostering technical excellence and innovation., • Evaluate external AI vendors, tools, and frameworks for adoption or integration., • Stay ahead of developments in AI/ML, LLMs, and applied analytics, translating trends into practical opportunities for Akixi. Required Skills & Experience • 4+ years in software engineering, with at least 2+ years focused on AI/ML or data-driven product development., • Proven expertise in developing and integrating AI solutions such as chatbots, voicebots, ML models, or LLM-based analytics., • Strong proficiency in Python (preferred) and/or JavaScript/TypeScript., • Hands-on experience with AI frameworks (e.g. TensorFlow, PyTorch and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic and/or AWS Bedrock)., • Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms., • Deep understanding of prompt engineering and fine-tuning of large language models., • Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning., • Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI)., • Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS)., • Ability to design data pipelines, APIs, and microservice integrations supporting AI features., • Excellent problem-solving, communication, and cross-team collaboration skills., • Proven ability to lead technically while remaining hands-on in design and coding. Advantageous Skills & Experience • Experience with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (e.g. BroadWorks, Webex Calling)., • Knowledge of data governance, model ethics, and MLOps practices., • Exposure to data visualization and predictive analytics for customer-experience metrics., • Advanced degree in AI, ML, Data Science, or related discipline. Why Akixi At Akixi, you’ll play a pivotal role in transforming how businesses understand and act on communication data. You’ll define and deliver the intelligence layer of a platform used by thousands worldwide — in an environment that values innovation, experimentation, and technical depth. We offer a collaborative culture, hybrid flexibility, and the opportunity to lead meaningful, high-impact AI initiatives from vision to production.

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a fast-growing SaaS analytics company delivering real-time and historical insights for cloud-based communication platforms, including Microsoft Teams, Cisco BroadWorks, and Webex Calling. Our analytics help businesses enhance customer experience, optimize productivity, and drive performance across voice and collaboration channels. Job Summary We are seeking a Senior Platform Engineer with a deep understanding of AWS cloud infrastructure, Infrastructure-as-Code (IaC) tooling such as Terraform, and configuration management using Ansible. The ideal candidate will be a self-starter, passionate about Site Reliability Engineering (SRE) principles, and thrive in collaborative environments. You will play a pivotal role in automating infrastructure, improving reliability and scalability, and ensuring smooth CI/CD pipelines across multiple environments. You'll work closely with software engineering, and security teams to drive platform excellence. Key Responsibilities • Design, build, and manage scalable, secure, and resilient infrastructure on AWS using Terraform (modularized, reusable components)., • Implement configuration management solutions using Ansible, including playbook development, inventory structuring, and role-based automation., • Manage secrets securely using services such as AWS Secrets Manager or HashiCorp Vault., • Implement robust monitoring, alerting, and observability tooling (e.g., CloudWatch, Prometheus, Grafana, Datadog)., • Participate in incident response, root cause analysis, and resilience improvements., • Maintain and evolve CI/CD pipelines using tools such as GitHub Actions, Bitbucket Pipelines, or Jenkins., • Automate deployments for container-based workloads on ECS (Fargate), or Lambda, and manage supporting infrastructure., • Collaborate with development teams to optimize build/deploy cycles and reduce lead time for changes., • Ensure security best practices are embedded into infrastructure provisioning and pipeline execution., • Support compliance and auditing by implementing guardrails and controls as code (e.g., AWS Config, SCPs, IAM policy management)., • Some OOH work is required to maintain the production systems and also will be part of OOH critical ticket rota. Required Skills & Experience • 5+ years in DevOps, SRE, or Cloud Engineering roles., • Expertise in AWS core services: EC2, IAM, VPC, ECS/Fargate, CloudFormation, CloudWatch, RDS, DynamoDB, S3, Lambda., • Strong proficiency in Terraform (HCL) – including workspaces, modules, and Terraform Cloud or similar., • Ansible experience – developing roles, dynamic inventories, managing remote configurations., • Strong scripting knowledge (Bash, Python, or Go)., • Experience with container orchestration and deployment (Docker, ECS, or Kubernetes)., • Proficient with GitOps or IaC-based workflows., • Familiarity with Google SRE practices, particularly around reliability, observability, and operational excellence., • Understanding of systems reliability metrics and associated tooling Soft Skills & Behaviours • Self-driven with a bias toward action and ownership., • Excellent communicator, able to collaborate across disciplines and levels of technical understanding., • Experience working as part of a cross-functional team., • Comfortable working in agile environments (Scrum/Kanban).

The Opportunity - (Fully Remote, Perm role) This is a greenfield data platform build. ___ is in the middle of a major AI transformation — a multi‐agent copilot platform (KAI) is already live in production, serving manufacturing clients globally. The AI roadmap is ambitious (agentic AI capabilities, multi‐agent orchestration, voice interfaces), and the next wave of capabilities depends on a strong data engineering foundation. A Databricks lakehouse POC is being evaluated (Unity Catalog, Delta Sharing, PrivateLink to RDS), and the team is assessing the right long‐term analytics platform strategy. This role builds the entire data engineering function from scratch — defining the architecture, tooling, and patterns that power the next generation of AI capabilities. This is an entirely forward‐looking role. While there is an active platform modernisation underway (the engineering team is migrating a .NET platform from SQL Server to PostgreSQL and containerising for Kubernetes), this role’s primary focus is building new data pipelines and analytics infrastructure, not maintaining legacy systems. That said, collaboration with the platform engineering team is important, as the data pipelines need to ingest from both the existing SQL Server estate and the new PostgreSQL databases. Core Technical Requirements • Python — primary language for data pipelines, scripting, and integration with the AI stack. This is a Python‐first team, • SQL (SQL Server + PostgreSQL) — deep experience required across both engines. The platform runs a large‐scale multi‐tenant database estate with per‐client schemas (local, global, corporate). The new platform targets Aurora PostgreSQL, with several modules already migrated. Pipelines must bridge both., • Databricks / Apache Spark — a lakehouse POC is being evaluated with Unity Catalog and Delta Sharing via AWS PrivateLink. Experience with Databricks or equivalent analytics platforms is important for assessing and scaling the right approach, • Apache Kafka — event streaming experience is essential. The platform is evaluating Kafka as the strategic backbone for ordered event logs, consumer group replay, and guaranteed partition ordering as the microservices fleet scales, • ETL/ELT pipeline design — building and maintaining pipelines into a medallion architecture (bronze/silver/gold layers) on Databricks or equivalent analytics platform, • Delta Lake — understanding of lakehouse table formats, time travel, and ACID transaction patterns, • AWS data services — RDS, S3, Lambda, Glue or equivalent. The platform runs entirely on AWS • Linux / CLI proficiency — must be comfortable working AI-Assisted Development Methodology -> Solvace is transitioning towards AI‐assisted development as a core engineering practice. Candidates should demonstrate: • Hands‐on experience with AI coding tools — Claude Code, OpenAI Codex, GitHub Copilot, Cursor, or similar. We’re looking for engineers who have integrated these tools into their professional workflow, not just experimented casually, • Spec‐driven development — ability to write clear technical specifications that can be used to drive both human and AI‐assisted implementation, with strong evaluation criteria and test coverage, • Portfolio evidence — professional projects or side projects that demonstrate AI‐assisted development practices. Contributions to or experimentation with emerging projects like OpenClaw are a strong signal, • Testing and evaluation rigour — experience building robust test suites, automated quality gates, and evaluation frameworks that ensure AI‐assisted code meets production standards Nice-to-Have -> • Apache Flink — for real‐time stream processing as the platform moves from batch to streaming analytics, • Apache Iceberg — experience with open table formats alongside or as an alternative to Delta Lake, • Go or Rust — valued as evidence of strong backend engineering and systems thinking, even though Python is the primary language, • Multi‐tenant data architectures — the platform runs per‐client schemas with tenant isolation requirements. Understanding tenant isolation patterns is a significant advantage, • Terraform / IaC — infrastructure is managed via Terraform; the Databricks POC has been codified in Terraform, • dbt or similar transformation framework, • Manufacturing / industrial data domain experience (sensor data, quality metrics, OEE, SPC), • CDC (Change Data Capture) — the platform is building CDC pipelines for the SQL Server to PostgreSQL transition, • Weaviate or other vector database experience — currently used for semantic search in the AI agent layer Why Join? • Greenfield data platform — the entire data engineering practice needs to be built from scratch. A lakehouse POC is being evaluated but the production architecture is theirs to define — patterns, tooling, and platform decisions from day one, • Direct AI impact — every pipeline they build directly unblocks AI agent capabilities. The KAI copilot is live in production and evolving towards agentic AI — autonomous agents that take actions, orchestrate workflows, and operate across systems. This role provides the data foundation that makes agentic capabilities possible, • Event streaming architecture — opportunity to design and implement a Kafka‐based event backbone, shaping the platform’s real‐time data architecture, • Manufacturing AI — opportunity to work at the intersection of industrial operations and generative AI, a domain with massive untapped potential. Rich, real‐world data: quality inspections, KPIs, maintenance records, safety observations, process parameters across global manufacturing sites, • Small team, high autonomy — the Innovation Hub operates with startup‐level autonomy inside a funded, growing company, • Leadership trajectory — the data function is critical to the platform and will grow. As an early hire, there is an open career path that will grow with the function — earned, not guaranteed

Senior Cloud Engineer Location: London / Manchester / Leeds (Hybrid) Function: Cloud Engineering / DevOps Salary: Up to £70,000 + bonus + comprehensive benefits About the Role Our client is a major UK digital, cyber and intelligence organisation delivering secure technology solutions across National Security and critical infrastructure programmes. With thousands of specialists operating globally, they design and build resilient, high-assurance systems in some of the most demanding environments in the country. Due to sustained growth across National Security accounts, they are hiring Senior Cloud Engineers to join their Gloucester team. This is not a generic cloud role. You will be working on secure government and critical systems where reliability, resilience and security are essential. You will operate within multi-disciplinary engineering teams, shaping cloud-native solutions that directly support nationally significant programmes. What You’ll Be Doing • Designing and building secure, cloud-native architectures in AWS, • Deploying infrastructure using Terraform, CDK or CloudFormation, • Creating and managing scalable infrastructure environments, • Implementing configuration management using tools such as Puppet, Chef or Ansible, • Building and managing containerised environments using Kubernetes, ECS or OpenShift, • Applying AWS security best practices and embedding secure-by-design principles, • Managing source control and software configuration across projects, • Engaging with internal and external stakeholders, • Leading teams or mentoring engineers at Senior level This is hands-on engineering. You will be expected to design, build and improve cloud platforms rather than simply maintain them. Ideal Background You should be able to demonstrate: • Strong experience across AWS services and modern cloud patterns, • Infrastructure as Code expertise, such as Terraform, CDK or CloudFormation, • Configuration management experience, • Solid networking fundamentals and understanding of software-defined networking, • Container orchestration experience, • Scripting capability in at least one language such as Python, Bash or Go, • AWS certifications are desirable but not essential The environment rewards engineers who stay current with new AWS releases and evolving best practice. What You’ll Receive • Salary up to £70,000, • Annual bonus, • DV Bonus - £7,000 annually, tax-free, paid quarterly, • 25 days holiday with buy/sell options, • Private medical and dental cover, • Competitive pension, • Flexible benefits package, • Hybrid and flexible working arrangements, • Structured career development with a dedicated career manager, • Funded training and certification support Senior Engineers are supported to progress into technical leadership or architecture pathways. Security & Eligibility Due to the nature of the work, you must: • Have permanent and unrestricted right to work in the UK, • Be eligible for Government DV clearance This role sits within National Security and critical infrastructure programmes. Clearance is mandatory. Who Should Apply This role suits experienced AWS Cloud Engineers who want to work on secure, high-impact systems rather than standard commercial platforms. If you value engineering discipline, structured delivery and exposure to nationally significant programmes, this warrants a conversation. If you would like further detail on the projects, team structure or clearance process, get in touch directly.

We’re partnering with a PE-backed SaaS business in the EdTech space that is scaling quickly and investing heavily in its product and engineering function. They’re hiring to help shape technical strategy across a growing core product suite used at real scale. This is a high-impact senior IC role for someone who loves solving complex architectural problems, influencing across multiple teams, and operating at the intersection of engineering, product, and business strategy. This is not a “staff in title only” role. The business is looking for someone who can work across domains, support technical leaders, raise the architectural bar, and bring strong judgement to a fast-moving environment undergoing significant transformation - including a major push toward AI-first engineering ways of working. What you’ll be doing • Driving architecture, technical direction, and roadmaps across a complex product estate, • Partnering with Tech Leads, Product Directors, and Engineering leadership on the company’s most important initiatives, • Supporting delivery of new product areas, module rebuilds, and greenfield architectural challenges, • Coaching senior engineers and technical leads while improving engineering quality and decision-making across teams, • Helping define what AI-first software development looks like in practice, including how tooling and new workflows reshape the SDLC, • Operating as a senior technical leader across multiple teams rather than sitting in one narrow delivery lane What they’re looking for • A proven background as a Staff Engineer / Principal-level IC / senior technical leader in a scaling product business, • Strong experience in architecture, systems design, and technical strategy across multiple teams or domains, • Someone who can influence senior technical and non-technical stakeholders and turn ambiguity into momentum, • A leader who brings examples, judgement, and real-world experience not just theory, • Strong opinions on how AI changes engineering productivity, team design, and delivery, • Experience in modern product environments where quality, performance, security, and observability matter, • Exposure to technologies such as PHP, Node, React, Python, MySQL, and AWS is helpful, but this is not a language-led search

Hiring: Senior AI/Data Platform Architect Location: UK We’re supporting a large-scale transformation programme within a highly regulated environment, focused on building and scaling enterprise AI capability across a complex data landscape. This is a senior, strategic hire responsible for shaping AI platform architecture, driving standards, and aligning AI solutions to real business use cases. Key focus areas: • Design and evolve enterprise AI and data platform architecture, • Define governance, data modelling, and information architecture standards, • Lead selection and implementation of AI technologies (AWS stack including Bedrock, SageMaker, Amazon Q), • Partner with senior stakeholders across data, engineering, and business functions, • Guide a small team and work with external delivery partners We’re looking for: • Strong experience in enterprise AI/data platform architecture, • Deep understanding of AI lifecycle, deployment, and platform design, • Experience with cloud and hybrid environments (AWS preferred), • Background in data governance, metadata, and modelling, • Proven stakeholder leadership in complex organisations Nice to have: • Experience within pharma, life sciences, or other regulated industries, • Exposure to LLM / GenAI or multimodal systems, • Manufacturing or industrial AI use cases This is a high-impact role with real ownership across strategy and delivery. If you’re interested, feel free to reach out directly.

About the role If you want to make a difference working with the largest names in pharmaceuticals and at the frontier of pharmaceutical marketing and educational content generation, read on. Circuit Medical is transforming how pharmaceutical companies generate educational and marketing content. Our leading platform is already being used at numerous leading pharmaceutical companies. We’re looking for leading AI Engineers who can take real-world customer and market requirements and turn them into working, scalable products; fast. You’ll own the full journey from prototype to scalable, production-grade systems. The level of role e.g. Principal, Senior will be dependent on candidate experience. What we need Someone who is equally comfortable whiteboarding an agentic architecture, scaling prototypes, and shipping the code behind it. You live at the intersection of R&D and product delivery, and you’re motivated by building products and features that scale and demonstrate returns, and not just those that demo well. Your job · Translate customer and market requirements into AI-powered product features, swiftly moving from concept to working software · Design and build agentic architectures using LLMs: from single-agent workflows to multi-agent systems · Lead on R&D cycles: research new approaches, prototype rapidly, evaluate rigorously, and ship what works in a rapid timeframe · Build scalable, production-ready systems: not throwaway prototypes · Collaborate across product, engineering, and commercial teams to ensure what you build solves real problems · Ship improvements continuously, driven by data and user feedback You should be · Someone who can demonstrate experience with LLMs, AI agents, and agentic design patterns e.g. tool use, RAG, planning, orchestration · Able to translate requirements into clear technical direction, and then execute on it · Genuinely curious: you read papers, run experiments, and stay close to the frontier · Entrepreneurial: you treat each challenge as an opportunity to shine and are tenacious · Motivated by building unique, scalable products that demonstrate impact in a real-world setting · Resilient and comfortable operating with ambiguity; you don’t wait for perfect specs, but continuously ask questions and offer improvements · Independent and self-driven, and a strong collaborator · Driven by customer feedback and customer centricity · Able to demonstrate at least 5 years’ experience in similar roles Stack · Python, React, data engineering pipelines, implements evals to drive robust product performance understanding, API integrations, CI/CD, AWS cloud infrastructure experience · Bonus: experience deploying models in different languages, working to ISO27001 ISMS standards, experience with biotech/pharma This role isn’t for you if… · You need a fully defined roadmap before you start building · You prefer deep specialisation in one narrow area over breadth and ownership · You’re looking for a slow, predictable environment What we offer · Competitive salary and benefits · Opportunities for professional growth · Flexible work hours and remote work · Collaborative, inclusive work environment · Chance to work on cutting-edge AI technologies with real-world impact Selection process · Screening interview with HR · Introductory interview with hiring manager/technical exercise · Capability interview with CEO/team members About Circuit Medical Circuit Medical is a well-established, research-driven global consultancy and AI solutions provider, that maximises the value of medical affairs for the biopharmaceutical industry, supporting leading companies like AstraZeneca, Roche, and Takeda. We're expanding our digital offerings with products designed to enhance quality, efficiency, and performance for clients that ultimately help them to improve patient care. We thrive on curiosity, innovation, collaboration, and delivering high-quality work. We’re a small, fast-moving team that values curiosity, ownership, and shipping over talking. If you want high autonomy, meaningful problems, and the chance to shape products from the ground up then we’d love to hear how you can add to our welcoming and innovative team. We're an inclusive team that celebrates diverse backgrounds and perspectives, providing equal opportunities regardless of race, colour, religion, age, sex, sexual orientation, gender identity, national origin, or disability.

Job Title: Senior DevOps & Back-end Engineer – Strategy & Corporate Finance Who You’ll Work With You’ll join clients Strategic Growth Hunter team, a high-impact engineering and analytics squad that designs and scales cloud-native solutions powering our financial intelligence platforms. We work with cutting-edge tools to automate infrastructure, manage scalable deployments, and ensure robust performance under heavy data loads. Our environment encourages autonomy and technical excellence — whether in AWS architecture, container orchestration, or backend services built in Scala and Python. Join us to help redefine how organizations create value, combining deep analytics, DevOps automation, and scalable architecture to drive impact across Strategy & Corporate Finance. What You’ll Do As a Senior DevOps & Back-end Engineer, you’ll be responsible for building, automating, and maintaining reliable, scalable cloud environments while contributing to backend development where needed. Your key responsibilities will include: DevOps & Cloud Infrastructure (≈80%) ∙ Design, build, and maintain AWS-based infrastructure supporting high-performance analytics platforms. ∙ Use Terraform for Infrastructure as Code (IaC), ensuring reproducibility and scalability of deployments. ∙ Implement, manage, and optimize Kubernetes clusters for container orchestration and microservice scaling. ∙ Automate CI/CD pipelines, monitoring, and alerting using industry best practices. ∙ Configure and manage databases — PostgreSQL, MongoDB, and Kafka — ensuring reliability, replication, and performance. ∙ Champion cloud security, cost optimization, and disaster recovery best practices. Software Development (≈20%) ∙ Contribute to backend service development, primarily using Scala and Python. ∙ Develop and maintain APIs, microservices, and data processing pipelines integrated with the DevOps stack. ∙ Collaborate with other engineers to ensure code quality, maintainability, and smooth integration with CI/CD systems. ∙ Support cross-functional teams (product, analytics, design) by implementing scalable and efficient solutions. Qualifications Required DevOps Skills ∙ Strong DevOps expertise in AWS, Terraform, and Kubernetes (EKS preferred). ∙ Experience in managing databases (MongoDB, PostgreSQL), and queues (Kafka). ∙ Proficiency in CI/CD tools (GitHub Actions is a preference.). ∙ Hands-on experience with containerization (Docker), Linux-based containers and infrastructure automation. ∙ Solid understanding of monitoring and logging frameworks. Required Development Skills ∙ Experience in development and debugging of JVM-based applications (Scala preferred) and Python applications. ∙ Familiarity with RESTful API design, microservices architecture, and data-intensive backend systems. General ∙ Strong analytical and problem-solving skills. ∙ Eager to learn new technologies. ∙ Effective communicator with both technical and non-technical audiences. ∙ Comfortable in Agile, high-paced, collaborative environments. ∙ Fluent in English (written and spoken).

Principal AI Architect About Aveni Aveni is an AI FinTech company building the next generation of AI products and platforms for the UK financial services industry. Our mission is to make AI work in one of the world's most regulated, high-stakes environments; helping financial advisers, compliance teams, and wealth managers do their jobs better, faster, and with greater confidence. We're a high growth company at an exciting inflection point: our core products are live and scaling, and we're building out an ambitious 2026 roadmap of agentic AI capabilities that puts us at the frontier of what AI can do in financial services. The role This is one of the most exciting and wide ranging senior technical roles at Aveni. As Principal AI Architect, you'll sit at the intersection of deep AI expertise and enterprise grade systems architecture. You'll be shaping how Aveni's AI platform is designed, governed, and delivered at scale. You'll work as part of the senior AI leadership team reporting to the CTO, and play a central role in one of the most consequential challenges in enterprise AI: making agentic systems that are powerful, safe, and trusted in regulated environments. Equally, you'll be a key figure externally, designing deployment architectures for large UK financial institutions adopting Aveni's products, and helping them understand and trust what our AI can do. If you're deeply technical, genuinely excited about where AI and agents are heading, and want to shape how a fast-scaling FinTech builds its AI backbone, this role is built for you. What you'll be doing • Owning the architectural design of Aveni's AI and agentic platform. Planning how we route and orchestrate AI, how agents execute, how guardrails are enforced, and how we integrate multiple AI providers alongside our own proprietary model., • Defining architectural patterns for our next generation of agentic products. AI-driven guidance agents and an AI assurance framework for regulated financial workflows, ensuring they are safe, explainable, and compliant., • Partnering with senior engineers across our product teams to translate platform capabilities into well designed product architectures, ensuring consistency and reuse across everything we build., • Acting as Aveni's senior AI solution architect for enterprise clients, producing deployment architectures, running technical workshops, and supporting pre-sales processes that help large financial institutions adopt our products with confidence., • Collaborating with our research and innovation team to translate technology evaluations and prototypes into production ready architectural decisions, and working with our platform and infrastructure teams to ensure AI observability and operations are built on solid architectural foundations., • Setting AI architectural standards and governance across the organisation, shaping our technical strategy alongside the CTO, and ensuring our architecture meets the security, compliance, and regulatory requirements of the UK financial services sector., • Staying genuinely ahead of the curve by tracking where AI and agentic systems are heading, bringing a futurist mindset to how Aveni's architecture needs to evolve, and making sure we're building towards what matters next. What we're looking for • Extensive experience in software or AI/ML engineering, with a substantial portion spent in architecture roles, ideally spanning both platform and solution architecture., • Deep, hands-on knowledge of LLM and agentic system design. You understand how to build systems that use AI reliably, safely, and at scale, not just how to call an API., • Experience working with enterprise clients as a solution or technical architect. You're comfortable running architecture workshops, producing deployment designs, and earning the trust of technical stakeholders at large organisations., • Strong practical knowledge of cloud-native, event-driven architectures on AWS, and comfort with Python and/or Node.js in AI engineering contexts., • Familiarity with AI governance standards and the regulatory landscape. You understand what responsible AI design looks like in practice, especially in regulated industries., • A futurist mindset. You follow AI and agentic research closely, have strong opinions about where things are heading, and translate that into concrete architectural thinking rather than vague enthusiasm., • Outstanding communication skills. You're equally comfortable producing rigorous technical documentation for an internal architecture review and explaining deployment architecture to a CTO at a financial institution. Why Aveni • You'll be architecting AI systems at the frontier — agentic platforms, proprietary models, multi provider AI — in one of the most demanding and consequential domains in the world., • You'll work with a genuinely strong team: senior AI, research, and engineering leaders who care deeply about getting AI architecture right, and engineers who are ready to be challenged and elevated., • Aveni is at a defining moment. Our core products are live and growing, and the 2026 roadmap is ambitious. This is a chance to shape an organisation's technical direction before it's set in stone., • We're a mission driven company: the work matters. Better AI in financial services means better outcomes for advisers, compliance teams, and ultimately the people they serve.

Staff Applied Scientist (NLP / Machine Learning) London (Hybrid – 2 days onsite) An innovative AI-first technology company is looking for a Staff Applied Scientist to take a technical leadership role in building advanced machine learning and NLP solutions. The company develops cutting-edge platforms that leverage large language models and machine learning to answer complex research questions through intelligent search and automated workflows. As the organisation continues to scale its AI capabilities, they are looking for someone to lead and shape the technical direction of their data and NLP initiatives. The Role As a Staff Applied Scientist, you will act as the technical lead for data and NLP initiatives, driving improvements across search, machine learning models, and AI-driven workflows. Responsibilities include: • Improving search performance (precision and recall), • Optimising search algorithms to deliver fast and accurate results, • Designing and implementing agentic AI workflows powered by LLMs, • Building and maintaining scalable data pipelines, • Leading technical decision-making across ML and NLP projects Requirements • 8+ years of commercial engineering and/or data science experience, • Experience in technical leadership or leading ML initiatives, • Strong Python programming skills, • Commercial experience with machine learning, • Experience working in Natural Language Processing (NLP), • Experience training ML models using TensorFlow and/or PyTorch, • Experience with search databases (e.g. Elasticsearch, OpenSearch), • Experience with cloud platforms (e.g. AWS), • Willingness to work 3 days per week onsite in London Benefits • Stock option plan, • 25 days annual leave, • Pension contributions, • Flexible working arrangements, • Training and development opportunities If you're interested in applying advanced AI and NLP techniques to solve complex problems and want to play a key role in shaping a growing AI platform, we’d love to hear from you.

About us Founded in 2008, CitNOW is an innovative, enterprise-level software product suite that allows automotive dealerships globally to sell more vehicles and parts more profitably. CitNOW’s app-based platform provides a secure, brand-compliant solution – for dealers to build trust, transparency and long-lasting relationships. CitNOW Group was formed in 2021 to unite a portfolio of 12 global software companies leveraging innovation to aid retailers and manufacturers in delivering an outstanding customer experience. We have over 300 employees worldwide who all contribute to our vision to provide market-leading automotive solutions to drive efficiencies, seamlessly transforming every customer moment. The CitNOW Group is no ordinary technology company, we live a series of One Team values and this guiding principle forms the foundation of CitNOW Group’s award winning, collaborative and inclusive culture. About the role We’re looking for an experienced Data Architect to define and implement our group-wide, end-to-end data architecture. This is a critical role aligned with our vision for fully connected automotive dealer platforms. You will be accountable for how data is moved, stored, modelled, governed, and consumed across our products and platforms. This is a hands-on, strategic position, responsible for setting technical direction, making key architectural decisions, unifying multiple data architectures and enabling teams to execute effectively against the long-term vision. Key responsibilities include: Data Architecture and Modelling • Define and own the data architecture across the organisation, ensuring consistency, quality and accessibility of information, • Guide how data should be modelled, • Define standards and blueprints for integration and data architecture Data Platform Strategy • Provide direction to existing teams on infrastructure choices, tooling and architectural patterns, • Define how the data platform fits into wider system architecture (AI/ML, reporting, applications, integrations etc), • Set standards for ingestion, transformation, storage, and serving of data, • Balance short-term delivery with long-term architectural health, • Ensure the platform supports AI/ML readiness Data Governance • Define standards for ownership, contracts, versioning etc., • Embed data quality, lineage, and observability into architectural decisions, • Work with teams to ensure data governance enables speed rather than blocking it, • Data security and compliance frameworks Leadership • Act as the technical authority for the wider data team, reviewing designs and unblocking complex architectural decisions, • Collaborate across multiple different teams and stakeholders to align priorities, • Line management responsibilities may be required We're looking for experience across the following areas: Data architecture • Data platform design, • Data modelling, cataloguing and associated governance, • Data lakes, distributed storage, • Metadata management, • Experience with Snowflake is preferred Cloud & Platform Architecture • Proficient in AWS, but familiarity with Azure/GCP also useful, • Strong understanding of cloud computing principles (and ideally the AWS core services that deliver them), • IaC literacy (ideally Terraform) Architectural Governance • Establishing architectural patterns without slowing down individual teams or reducing autonomy, • Creation of reference architectures for others to adopt and follow In addition to a competitive salary, our benefits package is second to none. Employee wellbeing is at the heart of our people strategy, with a number of innovative wellness initiatives such as flexi-time, where employees can vary their start and finish times within our core business hours and/or extend their lunch break by up to 2 hours per day. Employees also benefit from an additional two half days paid leave per year to focus on their personal wellbeing. We recognise the development of our people is vital to the ongoing success of the business and proudly promote a culture of continuous learning and improvement, along with opportunities to develop and progress a successful career with us. The CitNOW Group is an equal opportunities employer that celebrates diversity across our international teams. We are passionate about creating an inclusive workplace where everyone’s individuality is valued. View our candidate privacy policy here - ___

Sports Senior Software Platform Engineer (Multiple roles, various seniority) | Sports Data We're also looking for PhD Sport Researchers, Quantitative Sports Modellers & Sports ML Experts We’re helping several sports data leaders, specialised in turning complex sporting datasets into actionable insights that drive smarter, evidence-based decision-making. Each team combines technical expertise with a genuine passion for sport, ensuring that the insights they deliver are both rigorous and practical. Build high performance trading and analytics platforms for the future of sports! Basketball, F1, Tennis, Horse Racing, Football (Soccer) and so much more... Essential Skills (Across the court/ track/ ground/ pitch): • Strong programming exposure with Go/ Golang or similar (such as Rust, Java, Kotlin, Python, C#, C++ etc), • Understanding of AWS to build pipelines., • Understanding of high-performance machine critical systems; ideally a sports trading platform or similar (financial trading/ banking/ air traffic platforms etc), • Strong problem-solving mindset with an analytical, systems-focused approach Bonus skills (100-point game, hat-trick, podium finish, Grand Slam): • Proven success with sports data/ the sports trading domain, • Genuine passion for sports and a curiosity-driven approach to understanding sports data Day-to-Day Duties (Throughout the venue): • Design, develop and analyse multiple high-performance sports trading and analytics platforms, whilst enabling global sports data to connect to it simultaneously, • Work with wider teams to add features, improve performance and increase reliability, • Contribute to CI/CD, security and long-term technical direction, • Innovate internal research projects exploring new metrics, analytical methods and applications of sport data Benefits (Beyond the match/ race/ game/ track): • An impact from day one, • Shape the future of sports technology, • Direct involvement with sport and the chance to apply tech to the real-world sporting calendar, • Creative freedom to experiment and innovate, • Supportive, collaborative culture that encourages learning and growth, • A vibrant team culture with a shared passion for sports, • Access to the latest tools and technologies, • Collaborative, flexible, remote first & hybrid working models, • Industry leading packages (competitive salary & bonus), plus an endless list of benefits.

About Euphoric: Euphoric builds AI-first employee benefits administration software for the world’s largest and most prestigious employers. Born out of Peppy Health — a fast-growing, category-defining Series B startup — we spun out in May 2025 to tackle a far bigger opportunity. Global employers spend $3–5 trillion on benefits every year. It’s their second-largest cost after payroll — yet the entire category is still running on legacy systems and outdated assumptions. The space is primed for transformation: despite its scale, it’s been almost completely overlooked by AI-first startups. Incumbents — including one U.S. heavyweight with $2B+ in annual revenue — are constrained by archaic tech stacks and can’t move fast enough to innovate. And this isn’t just a massive market — it’s genuine “tech for good.” Smarter benefits administration, richer analytics, and clearer communication have the power to directly improve the everyday lives, wellbeing, and financial security of millions of employees worldwide. We’re a sharp, high-velocity team with bold ambitions, obsessed with building category-defining technology and partnering with exceptional people who want their work to truly matter. We closed our seed round in October 2025 and are building from a position of strength with a long cash runway. The role: We’re looking for a Software Engineer to bring their ambition, creativity, and technical prowess to join our high-powered team to build the technology that powers the world’s first lovable, AI-native benefits platform. You’ll have real ownership, big targets, and a chance to help shape both the work you do and the company in general. We care less about traditional career paths and more about raw talent, bias for action, and how much fire you bring. What you’ll do: • Build AI-first features end-to-end: You’ll contribute to the design, deployment, and iteration of our next-generation benefits platform features that leverage personalization, experimentation, and AI/ML methods (e.g. agents/LLMs, recommender systems, reinforcement learning) to enhance user experience in a meaningful business domain., • Contribute across the tech stack: You’ll work in React (JavaScript/TypeScript) on the frontend and Python (FastAPI, SQLAlchemy) on the backend, shipping production-ready code and user-facing features in addition to innovative ML work., • Live on the cutting edge of AI tooling: You’ll help push the boundary of what’s feasible with modern AI-powered software development tools (Cursor, Windsurf), keep up with the regular drumbeat of AI advances, and find new and exciting ways to build and explore new features faster., • Participate in a fast-paced iterative environment: Collaborate closely with design, product, and beyond to deliver and iterate on impressive features and prototypes at world-class pace., • Keep code clean and well-tested: Maintain clean, efficient, and tested code with clear documentation for both peers and future reference., • Review, refine, and grow: Actively participate in peer reviews, CI/CD processes, and a growth-minded engineering culture, where you continuously seek to level up your technical skills., • Be a team player: Sometimes you’ll be iterating on ML pipelines; other times you’ll be refining a frontend component or fixing a tricky bug. We need someone who’s excited about the full product journey and moving together as one. Skills & experience: • Industry Experience (2+ years): Prior experience contributing to impactful products in fast-paced or startup environments, with an understanding of both scale and quality from larger tech organisations., • Hands-On Full Stack Skills: Proficiency in React/Typescript and/or Python (RESTful APIs, data pipelines), plus comfort with deploying and maintaining services on modern cloud platforms (GCP preferred, AWS or Azure also fine)., • Applied AI/ML Skills: First-hand experience building and delivering AI/ML features to real users, and an insatiable curiosity to keep up with emerging technologies and trends, • Team-Oriented Mindset: Strong communication skills for explaining complex ideas to technical and non-technical audiences, and a passion for collaborating within cross-functional teams., • Passion and Pride in Shipping: A do-whatever-it-takes attitude to deliver against important business goals that help the entire team win, • Pragmatic Best Practices: An overarching desire to build efficient, scalable, and maintainable code, while learning the tradeoffs between technical debt and delivery speed What we look for: We’re a great bunch but we have some "Euph" cultural non-negotiables. To do well here you will: • Thrive in fast-paced, feedback-rich environments, • Take your work seriously, but not yourself, • Be proactive, playful, and deeply curious, • Want to build something that matters, • Be willing to “do what it takes” What you’ll get: • Salary between £90k - £110k dependent on experience, • Remote-first setup with optional shared work space pass and hubs in London (We will only consider UK or Europe based candidates, with a preference for those closer to London), • Apple devices and the best AI tooling, • Private healthcare via Vitality, • 3% employer pension contribution (min 3% employee contribution), • Meaningful early-stage share opportunities, • 25 days holiday per year, plus bank holidays, • Career rocket fuel - real growth, real ownership, real impact

The Opportunity We are an Imperial College London med tech spinout building AI-powered clinical decision-support tools certified as Software as a Medical Device (SaMD). Our platform uses real-world EHR data to identify patients at risk of preventable harm — giving NHS clinicians time to act. We are a small, high-ownership team operating at the intersection of clinical AI and healthcare infrastructure. This is a foundational engineering hire with a clear path to Head of Engineering as we scale. The Role You will own and shape the technical core of a live clinical AI platform — working across backend services, ML infrastructure, and hospital data integrations. You will have a direct line to the CTO and CEO from day one, with real influence over architectural decisions on a system processing real patient data across NHS trusts. What You'll Do 🔹 Own and extend the backend and ML infrastructure of a production SaMD system 🔹 Design and implement integrations with hospital systems (EHR, HL7/FHIR), including partnerships with major healthcare data platforms 🔹 Build and maintain Python/Azure-based services — APIs, data pipelines, monitoring and audit frameworks 🔹 Write software that meets medical device quality standards, producing artefacts that support regulatory submissions 🔹 Collaborate with clinical, data science, and regulatory stakeholders 🔹 Help define engineering culture and processes as the team grows around you What We're Looking For ✅ 5+ years of professional software engineering experience with a strong Python background ✅ Proven experience building and operating production services on Azure or AWS ✅ Comfort with data-heavy systems — pipelines, databases, REST APIs — and a taste for clean architecture ✅ Strong written communication; able to document work to regulatory audit standard Nice to Have ⭐ Experience in a regulated software environment (medical devices, fintech, defence, or similar) ⭐ Familiarity with FHIR/HL7 or clinical EHR systems ⭐ Exposure to ML model deployment or monitoring in production Tech Stack Python · Azure · Terraform · Docker · ML Pipelines · FHIR / HL7 · GitHub Actions What's on Offer 💰 Competitive renumeration package, depending on experience 🏖️ 25 days annual leave + bank holidays 🏥 Access to clinical and academic networks 🔀 Flexible hybrid working, London base Growth Path As we move through our next funding round and scale clinical deployments, the expectation is that you grow into Head of Engineering or equivalent — owning technical strategy, building a team, and sitting at the table for product, regulatory, and commercial decisions.

Lead Data Platform Engineer Remote (UK-based) SC Clearance Required (British Citizen) Permanent - Up to £110,000 + Benefits We are looking for a hands-on Lead Data Platform Engineer to join a high-impact programme delivering scalable, real-time data solutions. This role offers the opportunity to work on complex, mission-critical systems using modern technologies across streaming, cloud, and distributed data platforms. The Role As a Lead Data Platform Engineer, you will design and deliver batch and real-time data pipelines that are highly available, low latency, and scalable. You will collaborate with cross-functional teams to shape solutions, influence architecture, and ensure data is transformed into reliable, consumable outputs. Key Responsibilities • Design, build, and deploy data pipelines and backend services, • Work with real-time streaming technologies and event-driven architectures, • Champion engineering best practices including TDD, CI/CD, and clean code, • Collaborate with architects, analysts, and testers in Agile/BDD environments, • Take ownership of services in production, ensuring performance and reliability, • Drive continuous improvement across data platform capabilities, • Contribute to solution design, estimation, and delivery planning Required Experience • Strong production Java experience, • Experience with Kafka, Kinesis, or similar streaming technologies, • Hands-on experience with Spark, Flink, Kafka Streams, or similar, • Experience with Spring Boot and/or Python, • Strong experience with AWS (including Lambda and S3), • Experience integrating with PostgreSQL, Redis, or similar, • Solid understanding of data pipelines and data modelling, • Passion for clean, testable, and maintainable code, • Experience working in Agile and/or DevOps environments Desirable Skills • Experience with Elasticsearch, OpenSearch, or Solr, • Familiarity with Terraform, Ansible, or Packer, • Experience with CI/CD tools such as Jenkins or Drone If you are interested, please apply or get in touch to discuss further.

We're working with a stealth stage Agentic AI startup who have just secured their firs £10m in funding. Pre-Sales Solution Architect, you’ll be the technical face of company in every customer engagement — from first discovery call through to post-sale handoff. You’ll bridge the gap between what the platform can do and what the customer needs it to do, translating complex multi-agent AI capabilities into clear, compelling solutions. This is a hands-on, front-line role. You’ll run live demonstrations, architect bespoke solutions during technical discovery, lead the technical narrative in RFP and proposal responses, and ensure seamless transitions into delivery. You’ll work closely with the founding team, our engineering function, and our channel partners. About the Role CORE RESPONSIBILITIES • Technical Discovery & Solution Scoping, • Lead technical discovery workshops with enterprise prospects to understand existing infrastructure, workflows, pain points, and AI maturity, • Design and document tailored solution architectures that map the company’s multi-agent platform to customer use cases, • Produce solution design documents, architecture diagrams, and integration blueprints, • Scope effort, dependencies, and technical risk for each opportunity, • Live Demonstrations & Proof of Concept, • Own and deliver compelling live product demonstrations tailored to each prospect’s context and vertical, • Build and maintain demo environments, sample workflows, and reusable POC assets, • Design, execute, and present proof-of-concept engagements that validate platform fit, • Translate demo feedback into product requirements and improvement recommendations, • RFP / ITT / Proposal Response, • Lead the technical content of RFP, ITT, and proposal responses end to end, • Develop and maintain a library of reusable technical response content, solution patterns, and reference architectures, • Collaborate with commercial leads to ensure proposals are technically rigorous and commercially aligned, • Articulate competitive differentiation in technical evaluations and vendor shortlisting, • Post-Sale Handoff & Onboarding Support, • Ensure smooth technical handoffs from pre-sales into delivery and customer success, • Produce onboarding documentation, runbooks, and integration guides for new customers, • Support early-stage deployments and act as a technical bridge during the first 90 days, • Capture implementation learnings and feed them back into pre-sales collateral and product roadmap Qualifications • Experience & Background, • 5–8 years in a pre-sales, solutions architecture, or technical consulting role within enterprise technology, • Demonstrable experience running technical discovery, architecting solutions, and presenting to senior stakeholders (VP / C-level), • Track record of supporting complex, high-value enterprise sales cycles (£500K+), • Experience working with or within channel / alliance partner ecosystems (e.g., WWT, Accenture, Deloitte, or similar), • Technical Skills, • Strong understanding of AI/ML concepts, including large language models (LLMs), agentic AI systems, and multi-agent architectures, • Familiarity with cloud infrastructure (AWS, Azure, GCP) and modern deployment patterns (Kubernetes, containers, microservices), • Working knowledge of enterprise integration patterns — APIs, event-driven architectures, data pipelines, • Awareness of the NVIDIA AI ecosystem (Inference Microservices, NIM, AI Enterprise) is a strong plus, • Comfortable reading and discussing code (Python preferred), even if not a full-time developer, • Attributes, • Exceptional communicator — can make complex AI concepts accessible to both technical and non-technical audiences, • Consultative mindset — you listen first, diagnose before prescribing, and build trust through credibility, • Entrepreneurial energy — comfortable operating in an early-stage, fast-moving environment with evolving processes, • Collaborative and low-ego — works well across sales, product, and engineering without rigid boundaries, • Self-directed and organised — manages multiple concurrent opportunities without dropping balls