Orchestration jobs in London - Page 2Crear alertas

Graduate Sales Development Representative (SDR) — SaaS & AI Location: SW Greater London (Hybrid) — (2/3 days per week) Salary: £35,000 + uncapped commission (1st year OTE £50,000–£70,000) Reports to: Head of Sales / Commercial Director Start date: ASAP (2024/2025/2026 Graduates) About the Company Our client is a fast-growing SaaS + AI consultancy helping enterprise organisations modernise how they operate using AI-enabled platforms, workflow automation, and data-driven optimisation. They work with well-known enterprise SaaS ecosystems across areas like HR, service delivery, workflow orchestration, analytics, and automation, supporting customers through: • Platform transformation and rollout programmes, • AI and automation use-case discovery, • Process redesign and change adoption, • Ongoing optimisation and value realisation What You’ll Be Selling (in plain English) You’ll help open doors into mid-market and enterprise accounts for conversations around: • AI-enabled workflow automation (reducing manual work, speeding up decisions), • Operational transformation using SaaS platforms (streamlining processes end-to-end), • AI adoption in the enterprise (use cases, readiness, value cases, governance), • Modernisation programmes that combine people + process + platform The Opportunity This is an ideal entry point into consultative B2B sales for a commercially driven graduate who enjoys speaking with people, building relationships, and creating opportunities. As a Graduate SDR, you’ll be the first point of contact for prospective customers. You’ll research accounts, run multi-channel outreach (phone/email/LinkedIn), qualify interest, and book meetings. You’ll learn how enterprise buying works (multiple stakeholders, longer cycles), how to run structured discovery, and how to create pipeline in a high-growth environment—with a clear route into Business Development / Account Executive roles. Key Responsibilities • Build pipeline through outbound prospecting across target accounts (calls, email, LinkedIn, events), • Research organisations and stakeholders: map decision-makers, priorities, initiatives, budgets, and “trigger events” (e.g., transformation programmes, AI adoption drives, platform changes), • Write tailored outreach that resonates with senior business + IT stakeholders (COO, CIO, CHRO, Transformation, Ops, IT, Data leaders), • Run first conversations: qualify pain points, current tooling, AI/automation maturity, timelines, stakeholders, and next steps, • Book and confirm high-quality meetings for Account Executives / Sales Leads, • Manage inbound enquiries: fast response, qualification, and routing, • Keep CRM accurate (activity, notes, stages, next actions, contact/account data hygiene), • Collaborate with Marketing on messaging, campaigns, lead lists, and experimentation (what’s landing vs what isn’t), • Track performance against activity and pipeline targets—iterate quickly and build repeatable habits Skills and Experience Required • Degree educated (any discipline — Business, Economics, Psychology, STEM, Geography, etc.), • Strong interest in a commercial career (sales, partnerships, account management, growth), • Confident communicator with a professional tone (written + verbal), • Resilient and comfortable with high-volume outreach and rejection, • Organised and consistent—able to manage follow-ups and daily activity targets, • Curious mindset: enjoys asking good questions and learning fast (especially around AI + SaaS value propositions), • Internship/placement/part-time experience in sales, customer success, consulting, recruitment, • Interest in ERP, AI, automation, workflow platforms, digital transformation, enterprise SaaS, • Familiarity with sales tools: Sales Navigator, HubSpot/Salesforce, Outreach/Salesloft, Gong, etc., • Comfortable talking about outcomes like ROI, efficiency, time saved, adoption, and change (you’ll be trained on this) What’s on Offer • A structured graduate route into enterprise consultative SaaS + AI sales, • Training and coaching from experienced sales leaders, • Clear progression into Business Development / Account Executive roles, • Hybrid working travel to SW Greater London as needed (2/3 days per week), • Competitive base salary plus uncapped commission How to Apply This position is aimed at 2024/2025/2026 graduates. You must be able to start ASAP. Please submit your most up-to-date CV and a recruiter will be in touch to discuss the position in more detail.

Lead Machine Learning Engineer Up to 145k Xcede has just partnered with one of the UK’s most established applied AI companies to support the growth of their senior engineering leadership team. This is a principal-level technical role for someone who wants to shape how large-scale AI systems are designed, built, and delivered across multiple industries. You’ll take ownership of major machine learning programmes from concept through to live operation, setting technical direction, designing resilient platforms, and leading teams through complex delivery environments. You’ll work across multiple client initiatives, defining long-term engineering strategy, building shared internal platforms, introducing modern tooling and delivery practices, and acting as the senior technical decision-maker on high-impact AI programmes. This role is ideal for someone who thrives in ambiguous environments, enjoys solving difficult delivery challenges, and wants to operate as a technical authority at board and executive level. Requirements: • You are widely regarded as a senior engineering leader with deep expertise in modern machine learning systems and large-scale platforms, • Advanced Python engineering capability, • Strong experience building and operating systems on major public cloud platforms e.g. Azure, • Hands-on background deploying distributed applications using container platforms and running them at scale using orchestration frameworks, • Proven experience leading senior engineering teams, setting technical vision, and raising delivery standards, • Strong ownership mindset — you take responsibility for outcomes, not just architecture, • Track record designing novel solutions for complex, high-risk delivery programmes, • Confident communicator able to influence executive stakeholders and align business and engineering priorities If you are interested in this or other Lead Ml Engineering positions, please contact Gilad Sabari @ | 02074226861

QA Engineer Accounting & Finance | ETL Testing | Data Warehousing | AWS A leading insurance firm is seeking a QA Engineer to join a newly formed Data Engineering squad, responsible for testing ETL pipelines and data flows into a centralised data warehouse. This team will work closely with internal Accounting and Finance stakeholders, supporting business-critical reporting and financial processes. Salary: Up to £65,000 Location: London This is a greenfield opportunity within a growing data function. As the first QA Engineer on the project, you will play a key role in shaping testing strategy, processes, and quality standards from the ground up. The Role • Own and execute testing across ETL pipelines and data warehouse integrations, • Validate accounting and financial datasets for accuracy, completeness, and integrity, • Collaborate closely with data engineers, product, and finance stakeholders, • Contribute to the definition of QA best practices within a new data team, • Test AWS-based data workflows, including serverless and orchestration components Required Experience • Experience or strong working knowledge of accounting / financial data, • Solid understanding of ETL processes, data warehousing concepts, and how to test them, • 3+ years’ experience as a QA Engineer, • Hands-on experience testing solutions built on AWS, • Strong communication skills, with the ability to work effectively with both technical teams and business users Desirable • Programming or scripting experience in C# or Python, • AWS services including Lambda, Glue, and Step Functions

About Us: ISTARI is a strategic cybersecurity advisory company with a bold vision: to curate the defining cybersecurity ecosystem of our time -uniting enterprise, academia, government, and innovators to build collective resilience. At the heart of this mission, ISTARI helps clients achieve lasting organisational cyber resilience by convening and applying world-class talent, expertise, and innovation through a uniquely powerful network - with ISTARI as the central orchestrator. The Opportunity: As a Partner at ISTARI, you are more than a senior leader; you are a practice owner and a market maker. We are seeking world-class, entrepreneurial leaders to own the commercial success and strategic direction of our business, helping us scale up ISTARI’s global presence and brand. This is an opportunity to operate at the intersection of cybersecurity, strategy, and innovation across our ecosystem. You will build our most critical C-suite relationships and develop new markets. You will be at the forefront of helping us scale our Advisory practice. You will serve as the primary engine of revenue generation while simultaneously owning the end-to-end delivery and commercial success of the engagements you sell. For this role, we are looking for a particular strength in Governance and Strategy. What You’ll Do (Key Responsibilities) You will hold accountability for driving performance across four core pillars: 1. Commercial Leadership & Building Market Presence • Ownership: Take accountability for the strategic direction, financial health, and commercial success of your area, owning revenue and margin targets., • Strategic Origination: Move beyond transactional sales to orchestrate large-scale, multi-year transformational deals. Leverage ISTARI’s ecosystem by integrating advisory expertise with our portfolio company solutions to create differentiated client value propositions., • Land & Expand: Drive the systematic expansion of strategic accounts, turning initial engagements into long-term, high-value partnerships that span the full breadth of ISTARI’s capabilities. 2. Client Value & Delivery Oversight • CxO Intimacy: operate as a peer to C-suite executives and Board members, serving as their strategic counsel on complex cyber risk imperatives rather than just a service provider., • End-to-End Delivery Governance: Maintain quality assurance and oversight for complex cyber programs. Ensure engagements not only meet contractual deliverables but generate measurable business value for the client., • Client Advocacy: ensuring ISTARI’s innovation pipeline and service offerings evolve to meet our customers’ future needs. 3. Practice Development & Thought Leadership • Intellectual Capital Creation: Pioneer new methodologies, blueprints, and service lines that define the market standard for cyber resilience. Lead the development of specific practice capabilities that differentiate ISTARI globally., • Market Eminence: actively build ISTARI’s reputation by defining the industry agenda. Represent ISTARI through high-profile speaking engagements, published white papers, and active participation in elite industry forums. 4. Talent Stewardship & Culture • Start-up / Ownership Mentality: Bring experience, energy, creativity and resourcefulness to help scale ISTARI in your own area and beyond., • Talent Pipeline Development: Sponsor the next generation of leadership. Mentor Principals and Directors, providing the coaching and opportunities necessary for them to advance to Partner., • Inclusive High-Performance Culture: Foster an environment that balances high commercial demands with collaboration, psychological safety, and continuous learning. What You'll Bring (Candidate Profile) We are looking for established leaders who have operated at the highest levels of the cybersecurity and professional services industries. Target Backgrounds: • Start-Ups / Scale-Ups: Senior leaders from early-stage, specialised strategic cyber firms., • Strategy Consulting and Big 4: Partners / Senior Directors from Cybersecurity practices who have led major sectors or territories., • Industry Leaders: Former CISOs or CSOs of Global 2000 companies who have successfully transitioned into commercially focused advisory roles., • Proven Commercial Track Record: Demonstrated success in originating and leading multi-year, multi-million dollar transformation programs. Must be able to evidence a personal established network of C-suite and Board relationships within the Global 2000., • Practice Leadership: Experience not just in delivering work, but in building a practice—hiring teams, defining methodologies, and managing a P&L., • Expertise in Governance and Strategy: within various industry backgrounds (Financial Services less critical for this role)., • Former practitioner: ideal candidate would have spent some time (perhaps seconded) in a practitioner role. Core Competencies • Board and C-Suite-Level Fluency: The ability to translate complex technical cyber risks into strategic business imperatives for non-technical Boards and Audit Committees., • Commercial Orchestration: Mastery of complex deal shaping. The ability to integrate diverse capabilities—advisory, technical, and portfolio solutions—into a cohesive, high-value client proposition., • Start-up/Ownership Mentality: resourceful, creative and accountable, you’ll roll up your sleeves and help us build and scale., • Recognised Expertise: You shape trends through published thought leadership and active participation in industry forums., • Talent Attraction: A reputation that attracts top-tier talent. Proven ability to mentor Principals and Directors into future Partners, creating a leadership pipeline. Education & Professional Recognition • Education: Bachelor’s/Master’s degree is required. An advanced degree (MBA or equivalent) is preferred to ensure broad business acumen beyond cyber., • Recognition: Recognised Fellow status in leading industry bodies (e.g., ISC2, ISACA) or equivalent industry awards/recognition is preferred. How We Measure Success (KPIs) Commercial (Financial): • Sales Origination (Total revenue booked)., • Managed Revenue (Revenue recognized within your team)., • Client Net Promoter Score (NPS) / CSAT., • Retention and promotion rates within mentor group., • Measurable contribution to recognized thought leadership (tier-1 publications, keynote speaking). See our latest ___ as an example of our events. See our ___ with Cambridge Judge Business School. See examples of ___ If you are a builder and ready to be part of a team shaping the future of a growing global practice, we encourage you to apply.

JD : • Experience in delivering ecommerce solutions., • Design and development experience in eCommerce., • 10+ years of full stack development expertise (Node.js, React.js, Lambda programming, GraphQL, Type Script, workflow), • Should have used and enabled AI across design, development and testing., • Experience in delivering ecommerce solutions., • Design and development experience in eCommerce., • 10+ years of full stack development expertise (Node.js, React.js, Lambda programming, GraphQL, Type Script, workflow usage), • Functional knowledge about order orchestration – (order to cash), • Should have used and enabled AI across design, development and testing., • Functional understanding of middleware – (Kafka), • Experience in delivering ecommerce solutions., • Design and development experience in eCommerce., • 10+ years of full stack development expertise (Node.js, React.js, Lambda programming, GraphQL, Type Script, workflow usage), • Functional knowledge about order orchestration – (order to cash), • Should have used and enabled AI across design, development and testing., • Functional understanding of middleware – (Kafka), • Additional knowledge or exposure required, • Netlify, • Noibu, • Constructor, • Graphql, • workflow (Conductor)

DevSecOps Engineer (Microsoft Azure) We are supporting a large, complex organisation in appointing an experienced DevSecOps Engineer to design, build, and support secure, automated deployment pipelines across a Microsoft Azure technology estate. This is a hands-on contract role, well suited to someone with strong Azure DevSecOps experience who enjoys working collaboratively across engineering, cloud operations, and security teams. Contract DevSecOps Engineer (Microsoft Azure) Location: London - hybrid (minimum 3 days per week onsite) Rate: TBC (competitive, dependent on experience) Start Date: ASAP Duration: Initial 3 months Key Responsibilities • Design, build, and support DevSecOps pipelines for both custom-built and package-based systems, • Enable secure, automated, and repeatable deployments across the Azure landscape, • Create and maintain CI/CD pipelines, automating build, deployment, and environment provisioning, • Develop scripts and tools to improve automation and operational efficiency, • Support implementation rehearsals, releases, upgrades, and live deployments, • Monitor pipeline performance and proactively identify and resolve issues, • Support configuration and management of development, test, UAT, and production environments, • Work closely with Cloud Operations, Security, Customer Success, and third-party suppliers, • Stay up to date with DevSecOps tooling and recommend continuous improvements Skills & Experience Required • Proven experience designing and supporting CI/CD pipelines, • Strong scripting skills (PowerShell, Python, and/or Bash), • Hands-on experience with Microsoft Azure, • Infrastructure as Code experience (ARM, Terraform, Bicep), • Containerisation and orchestration experience (Docker, Kubernetes), • Experience with monitoring and logging tools in cloud environments, • Experience working with third-party suppliers, • Strong communication and stakeholder engagement skills Working Pattern & Values • Hybrid working - minimum three days per week onsite in London, • Collaborative, inclusive, and delivery-focused working culture Services Advertised are those of an Employment Business

Job Title: Dynamics 365 CRM Solution Architect Overview: We are seeking a highly experienced Dynamics 365 CRM Solution Architect with 16+ years of enterprise CRM and cloud solution delivery experience, bringing deep technical and functional expertise across the Dynamics 365 ecosystem. The ideal candidate has led end-to-end implementations across Customer Insights, Customer Service, and Sales, with a proven ability to architect scalable, secure, and data-driven customer engagement solutions. You will own the solution architecture, guide design decisions, and oversee technical delivery across complex multi-cloud environments. Responsibilities include defining architecture for Customer Insights, designing data models and segmentation strategies, integrating Azure services, establishing governance frameworks, designing Sales and Service processes, and optimizing AI-driven customer analytics. You will also lead CRM integrations, ensuring robust API patterns, middleware orchestration, and end-to-end data flow consistency. Key Responsibilities: Lead solution architecture and technical design for Dynamics 365 CRM, including Customer Insights, Customer Service, and Sales Architect enterprise-grade integration patterns across Azure, Dataverse, REST APIs, ESB/middleware, and external systems Design and optimize Customer Insights ingestion pipelines, unification rules, segmentation models, and predictive analytics Define CRM data models, automation, and business process flows across Sales and Service Oversee delivery teams, perform code/design reviews, and enforce architectural and integration best practices Build enterprise automations using Power Automate, Azure Functions, and custom connectors Collaborate with stakeholders to translate business requirements into scalable technical solutions Drive AI/ML adoption using AI Builder, Azure Cognitive Services, and customer intelligence features Support governance, DevOps, CI/CD, environment strategy, and performance optimization Serve as the SME for CRM strategy, integration frameworks, roadmap planning, and platform evolution Required Experience & Skills: Nice to Have: Microsoft certification: PL-900 (Power Platform Fundamentals) or equivalent Experience with Microsoft Fabric and advanced Customer Insights real-time analytics

Senior Analytics Engineer London – Hybrid Up to £90,000 A growing and increasingly sophisticated data function is looking for a Senior Analytics Engineer to take ownership of its analytics modelling layer and help lead the evolution of trusted, business-ready data. This role sits at the heart of reporting and decision-making, combining hands-on technical delivery with mentorship and leadership responsibilities. You’ll work across the full transformation layer, shaping scalable data models, setting best practice, and supporting the development of a high-performing analytics engineering capability. Responsibilities: You will: • Own and develop dbt models across bronze, silver, and gold layers, • Design and maintain robust, well-optimised dimensional models using Kimball-style principles, • Lead the development of aggregation and transformation logic for complex analytics use cases, • Act as a technical point of contact for Analytics Engineering, setting standards and best practice, • Line manage and mentor junior Analytics Engineers, supporting their technical and professional development, • Work closely with Data Engineers to understand upstream sources and ensure transformations are reliable and scalable, • Drive data quality through testing, documentation, and clear ownership of models and pipelines, • Shape and govern the semantic layer used by BI tools, ensuring consistent metrics and definitions, • Partner with Analysts, Product, and wider stakeholders to translate business needs into well-structured data models Skills & Experience: You should have: • Advanced SQL skills and strong experience with cloud data warehouses (Snowflake, BigQuery, Redshift, etc.), • Extensive hands-on experience using dbt to build and manage analytics models, • Deep understanding of dimensional modelling and analytics engineering best practice, • Experience supporting or managing other engineers, analysts, or technical contributors, • Strong exposure to BI tools (Looker, Power BI, or similar) and how downstream users consume data, • Experience working in cloud environments (AWS or GCP), • Familiarity with data quality testing, deployment workflows, and orchestration concepts (e.g. Airflow), • Experience working in Agile, cross-functional product or platform teams, • Python experience for automation or data tooling is a plus

INTRODUCTION ATOM is the end-to-end insurance operating system, enabling any entity within the insurance lifecycle to operate the entirety of their activities and cooperate/interact with third parties. Its unique advantage is to incorporate not only insurance underwriting and claims handling, but also all associated support and corporate activities. ATOM Technologies is the team behind the platform. Based in the DIFC Innovation Hub, ATOM Technologies is a group of more than 25+ passionate and dedicated insurance and software professionals on a mission to upgrade the insurance industry from the inside out. RESPONSIBILITIES The Full Stack Data Engineer is responsible for integrating data engineering, analytics, and data science to drive business intelligence and data-driven decision-making. They will design, implement, and optimize data pipelines, ETL processes, and data models to ensure efficient data flow and accessibility. Collaborating closely with cross-functional teams, they will gather requirements and develop data solutions that support business intelligence, reporting, and analytics needs. They will leverage their expertise in Tableau BI, AWS, and Python coding to build scalable data solutions, while applying machine learning techniques to enhance insights and automate data processes. Ensuring data quality, security, and compliance across all initiatives will be key to their success in this role, as they work to deliver reliable, high performance data solutions aligned with elseco’s objectives. They will be joining the data engineering team to support the department in cultivating the enterprise data supply chain. Their activities will include preparing data for the creation of data products defined by the business, such as embedded analytics, while supporting the overall data strategy to enhance quality, security, and governance throughout the organization. The role is based in our headquarter in DIFC, Dubai, United Arab Emirates. The role requires a mandatory base location in Dubai. SPECIFIC DUTIES AND RESPONSIBILITIES • Design, build, and maintain scalable ETL/ELT pipelines for structured and unstructured data., • Develop data models and optimize database performance for analytics and reporting., • Integrate data from multiple sources (APIs, cloud storage, databases) into a centralized data warehouse., • Manage and optimize AWS-based data infrastructure (S3, Redshift, Glue, Lambda, etc.)., • Ensure data quality, integrity, and security across all stages of data processing., • Develop and maintain interactive dashboards and reports using Tableau BI., • Work with stakeholders to define key business metrics, KPIs, and reporting requirements., • Perform exploratory data analysis (EDA) to uncover trends and insights., • Automate reporting and data extraction processes for business teams., • Develop and deploy predictive models and machine learning algorithms for business use cases., • Conduct statistical analysis, feature engineering, and model optimization., • Implement A/B testing frameworks to validate hypotheses and business decisions., • Work with big data technologies to process large-scale datasets., • Work closely with data analysts, software engineers, and business teams to align data initiatives with business goals., • Write clean, reusable, and well-documented Python code for data processing and analysis., • Maintain clear documentation for data pipelines, ETL workflows, and ML models. KNOWLEDGE AND SKILLS • Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related field., • Proficient in Python, including libraries like Pandas, NumPy, PySpark, and Scikit-learn., • Strong experience with SQL, ETL processes, and data pipeline development., • Expertise in Tableau BI for data visualization and dashboarding., • Hands-on experience with AWS services (S3, Redshift, Lambda, Glue, Athena, etc.)., • Familiarity with relational (PostgreSQL, MySQL) and NoSQL databases (MongoDB, DynamoDB)., • Knowledge of supervised and unsupervised learning models, regression, classification, clustering., • Experience with Git, Docker, and CI/CD pipelines for data workflows., • Strong problem-solving and analytical thinking skills., • Ability to communicate complex data concepts to non-technical stakeholders., • Experience working in agile environments with cross-functional teams., • Self-motivated with the ability to manage multiple projects simultaneously., • Experience with Kafka, Airflow, or other data orchestration tools would be advantageous., • Knowledge of distributed computing frameworks (Spark, Hadoop) would be advantageous., • Exposure to AI/Deep Learning frameworks (TensorFlow, PyTorch) would be advantageous., • Certification in AWS, Tableau, or relevant data technologies would be advantageous.

Job title: Full-Stack Lead Location: Holborn, UK (Hybrid for 3days/week) Job type: FTC for 6months We are seeking a talented and experienced Full Stack Developer to join our dynamic team. The ideal candidate should have expertise in front-end development using React and Next.js, as well as proficiency in back-end development with Spring Boot, GraphQL, and Velocity scripts. Additionally, hands-on experience with AWS and continuous integration using Jenkins is crucial for success in this role. Mandatory Skills: React and Next.js, Spring Boot, GraphQL, and Velocity scripts Key Responsibilities: Front-End Development: Develop and maintain responsive and user-friendly web applications using React and Next.js. Collaborate with UI/UX designers to implement design specifications and ensure a seamless user experience. Back-End Development: Design, implement, and maintain server-side components using Spring Boot for efficient and scalable solutions. Implement GraphQL for optimized API interactions and data fetching. Database Integration: Integrate databases and ensure data security and integrity. Optimize database queries and performance to enhance overall application efficiency. API Development: • Develop and maintain RESTful APIs for seamless communication between the front-end and back-end systems., • Implement GraphQL APIs for enhanced data querying capabilities. Velocity Scripts: • Utilize Velocity scripts to enhance server-side rendering and dynamic content generation. Cloud Services: • Deploy and manage applications on AWS, utilizing services such as EC2, S3, Lambda, and more., • Implement best practices for security and scalability in cloud environments., • Continuous Integration/Continuous Deployment (CI/CD):, • Set up and maintain CI/CD pipelines using Jenkins for automated testing and deployment., • Ensure code quality and perform regular code reviews. Collaboration and Communication: • Collaborate with cross-functional teams, including UI/UX designers, product managers, and QA engineers., • Communicate effectively with team members and stakeholders to gather requirements and provide updates on project status. Qualifications: • Bachelor’s degree in computer science, Software Engineering, or a related field., • Proven experience as a Full Stack Developer with a focus on React, Next.js, Spring Boot, and GraphQL., • Strong proficiency in front-end and back-end technologies., • Experience with Velocity scripts and API development., • Familiarity with AWS services and cloud architecture., • Hands-on experience with Jenkins and CI/CD pipelines., • Strong problem-solving skills and attention to detail. Preferred Skills: • Familiarity with containerization technologies such as Docker and orchestration with Kubernetes., • Knowledge of agile development methodologies., • Experience with performance optimization and troubleshooting.

🤖🚀 Principal Product Manager | AI & Data Orchestration | High-Growth Scale-Up 🚀🤖 Role: Principal Product Manager – AI & Data Orchestration Location: London - hybrid 3 days p/w in the office Salary: up to £150,000 + bonus + equity We’re partnered with a fast-growing tech scale-up building platforms that let software, AI, and machines collaborate intelligently at scale. They automate complex workflows and orchestrate data and AI systems, creating capabilities that push the boundaries of what autonomous software can do. This is a high-impact role at the center of technical product innovation. As Principal Product Manager, you’ll define the roadmap for agentic AI and data orchestration products, shape how systems work together, and work closely with engineers and senior stakeholders to decide what gets built next. Why this role stands out: 🛠️ Lead the strategy and roadmap for agentic AI and data orchestration products 🤝 Collaborate closely with engineers, technical leads, and stakeholders 🚀 Work on cutting-edge products that enable software and machines to work autonomously 📈 Clear progression to Director-level responsibility Who they’re looking for: • Experienced technical or strategic product manager in AI, ML, or data platforms, • Strong understanding of data pipelines, ML orchestration, and agentic systems, • Comfortable defining product strategy, influencing stakeholders, and translating complex technical concepts, • Thrives in a fast-moving, high-impact environment If you’re a Principal Product Manager ready to lead products that shape the next generation of autonomous software systems, this is the role for you! 📧 🤖🚀 Principal Product Manager | AI & Data Orchestration | High-Growth Scale-Up 🚀🤖

About Us: We’re a VC-backed stealth-mode company building behavioural AI solutions for the retail industry. Our platform is designed from the ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store shopping experience. Role: We’re looking for an experienced Frontend Engineer to work closely with product, design, mobile, and machine learning team members to design & build experiences that re-define retail shopping. You'll help help build engaging & intuitive web experiences using highly responsive UI components and real-time data flows. Responsibilities: • Design and implement reactive, real-time web interfaces that help manage & redefine what is possible with in-store content personalisation, • Understand & advocate for user needs/wants, • Translate user and business needs into functional frontend code, • Contribute to API and broader system design & documentation Essential Qualifications: • Strong understanding of UX principles and web design fundamentals, • Expert in Javascript, Typescript, HTML, and CSS, • Extensive experience with modern web frameworks and patterns (eg. React, Next.js, Tailwind), • Experience with real-time and bi-directional communication protocols and patterns (eg. WebSockets, SSE), • Built and deployed services on any major cloud providers' services (Azure, GCP, AWS), • AI-Native development: fast iteration & prototyping using AI tools such as Lovable, Bolt, or Cursor as a collaborator. Nice to Have: • Some experience in backend development (Python/Java/Go), • Experience with container orchestration and service containerisation (Kubernetes, Docker), • Worked in an IoT or Edge-oriented architectures, • Experience or knowledge in retail POS, inventory, or loyalty systems

Java Software Engineering Manager (x2) - 6 month - 3 days pw onsite London - Circa £650pd outside IR35 We’re looking for a hands-on Java Software Engineering Manager to lead a high-performing team building reliable, scalable systems. You’ll balance technical leadership with people management, setting clear direction while staying close enough to the code to guide architecture and best practices. Ideally you will have managed teams working with Java and modern backend technologies, a proven track record of leading engineers, and a pragmatic, calm approach to problem-solving. Technical Requirements • Strong commercial experience with Java/managing JVM engineers, • Promote DevOps (build/run it) methodology and practices, • Experience designing and delivering microservices-based architectures, • Solid understanding of CI/CD pipelines, including build automation, testing, and deployment, • Familiarity with modern engineering practices: automated testing, infrastructure as code, monitoring, and observability Technology Stack • Backend development across modern JVM frameworks including Spring, Spring Boot, and Micronaut, primarily using Java, • Cloud-native services deployed on Azure, with orchestration via Kubernetes and system monitoring/observability using tools such as Dynatrace, • Data persistence and storage using a mix of relational and NoSQL technologies, including SQL Server and MongoDB, • Frontend applications built with contemporary JavaScript frameworks and languages such as React, Next.js, Angular, and TypeScript, • In-memory data grids and caching solutions leveraging technologies like Redis and Ignite If of interest, please apply with your updated CV and we can arrange a call.

This role is with one of Dex’s trusted Partner companies. We work closely with their teams to truly understand their culture, goals, and what they’re looking for, so we can match you with the right opportunity for your goals! If you’re interested, apply here, or head over to Dex to find other opportunities with top tech companies, where you can truly find work that matters! We are partnering with a rapidly growing, VC-backed AI Software Factory that is modernizing the world’s most critical physical industries. While much of the tech world focuses on social apps, this company is tackling the "societal problem" of inefficient legacy systems in energy, logistics, and manufacturing. What makes this role unique is the "AI-first" development philosophy. You won't just be writing boilerplate code; you will be leveraging advanced AI workflows to scaffold and automate routine tasks, allowing you to focus on high-level architecture and complex integration challenges. It’s a chance to be at the forefront of how software engineering is evolving. What You’ll Do You will lead the implementation and delivery of backend services, integrations, and workflow logic that power the companies SaaS applications. Rather than reinventing the wheel, you'll leverage an existing AI-Software Factory platform to build robust, scalable tools for customers. This team is pioneering a new way of working where the engineer will use advanced AI workflows to accelerate routine development, allowing you to focus on high-value problem-solving, validating automated outputs, and solving complex integration challenges. • Build and own core backend features and critical API integrations (Python, FastAPI, SQL)., • Design and implement complex data pipelines and workflows using tools like Dagster and Temporal., • Validate and harden accelerated workflows, ensuring generated code meets production standards., • Implement resilient connectors for APIs, file systems, and enterprise platforms., • Integrate new and existing capabilities into reliable, monitored production systems., • Champion the use of AI-assisted tools to plan, scaffold, and refactor code efficiently., • Collaborate with Solution Strategists and Platform teams to ship value to customers faster. What You’ll Bring This team values curiosity and adaptability over a perfect checklist, but they are specifically looking for strength in backend fundamentals. • Strong backend/API experience (Python or TypeScript); SQL and data modelling skills., • Familiarity with (or keen interest in) agentic AI coding tools (e.g., Cursor/Codex/Claude Code) to plan, scaffold, refactor, and test., • Proven integrations experience with APIs required. Experience integrating with other systems like SFTP, SharePoint, or webhooks; for example, is a plus., • Workflow orchestration and data engineering experience (e.g. Temporal, Dagster) know-how., • Familiarity with CI/CD, Docker, cloud (Azure/AWS/GCP)., • Interest in AI and raising team AI skills. What You’ll Get • Competitive salary and share option plan, • 25 days annual leave, plus public holidays, • Excellent pension scheme, fixed at 7.5%, • Private healthcare, including family cover and pre-existing conditions, • Flexible hybrid working with 2 days per fortnight in their Farringdon office, • Regular social events and offsites, • Access to a gym and fitness classes in the office building To be considered for this role, apply directly, or sign up to Dex to find other opportunities! You're used to solving the toughest problems - Your job search shouldn't be one of them!

Senior Data & AI Scientist | Up to £80,000 + 10% Bonus | Hybrid (London 3 days) Are you passionate about shaping the next generation of AI-powered products? Join a dynamic, fast-moving business that’s embedding AI into everything from customer interactions to internal tools. We’re looking for an experienced Data & AI Scientist to help drive innovation across cutting-edge AI initiatives — from chatbots and voice assistants to advanced retrieval-augmented generation (RAG) systems and agentic workflows. The Role You’ll work closely with the AI Engineering and Data Science teams to: • Develop and prototype AI-driven solutions across customer-facing and internal applications., • Build and optimise LLM-based assistants, RAG pipelines, and agentic AI workflows., • Collaborate on the architecture and deployment of scalable AI solutions (with support from engineering)., • Partner with stakeholders to translate business needs into practical, intelligent systems., • Mentor junior team members and contribute to the evolution of our AI tooling stack. This role is ideal for a hands-on AI practitioner who enjoys experimentation, collaboration, and delivering real-world value. What You’ll Bring • 3+ years experience in a commercially driven customer environment, • Strong Python skills and solid grounding in AI/ML fundamentals., • Experience with some of Databricks, LangChain, vector databases, or LLM orchestration tools., • Knowledge of RAG pipelines, transformers, and modern AI architectures., • Understanding of deployment or MLOps best practices (Azure experience a plus)., • Recent, hands-on experience with applied LLM projects., • Strong communication and stakeholder engagement skills. A Master’s degree in Computer Science, ML, or AI is preferred but not required. The Opportunity • Be part of an ambitious AI journey - already 70% built, with big plans for the next 5 years., • Contribute to short-term LLM “quick wins” and longer-term agentic AI development., • Work in a collaborative, supportive environment with senior data leaders., • Help shape how AI transforms both customer experience and business efficiency. Package & Details • Salary: Up to £80,000 + 10% Bonus + 5% Matched Pension, • Hybrid working: 3 days per week in London office (Tues/Weds fixed), • No visa sponsorship available Apply below!

Senior System Engineer (AI/ML) | Permanent position • Location: Central London, • Onsite: 5 days a week (South Kensington / Waterloo), • Salary: Up to £82,500 + Excellent Benefits, • Available position: 2 positions Our client, an IT consulting and services provider, is seeking an experienced AI/ML Platform Engineer to support a transformative project within the UK education sector. You'll play a critical role in delivering and maintaining a cutting-edge AI/ML Operations platform for a prestigious academic institution. The role requires strong hands-on engineering expertise combined with solid consulting capabilities across AI/ML Engineering platforms, Ubuntu Server, NVIDIA Technologies (Run: AI, GPU Operator), Kubernetes containerisation, and High-Performance Computing (HPC) environments to ensure successful platform delivery and ongoing operational excellence. Key Responsibilities: • Deploy and configure a complete AI/ML Ops platform, including Ubuntu OS, Kubernetes, NVIDIA GPU/Network Operators, and Run: AI orchestration, • Conduct knowledge transfer, installations, and validate platform performance against AI/ML development requirements, • Provide ongoing operational support and platform ownership, including monitoring, troubleshooting, and implementing updates/patches, • Deliver technical guidance to researchers and developers while engaging stakeholders to understand evolving requirements, • Create comprehensive documentation covering configuration, test integration and maintenance procedures, and troubleshooting guides, • Collaborate effectively with IT teams, third-party vendors, and internal specialists throughout implementation and BAU phases Required Qualifications & Experience: • Strong experience deploying and supporting HPC environments for AI/ML workloads, • Extensive experience in Ubuntu server administration and Kubernetes cluster management experience, • Hands-on experience with NVIDIA GPU technologies (GPU Operator) and AI/ML orchestration platforms (Run: AI highly desirable), • Understanding of networking in containerised environments and experience supporting complex computing infrastructures, • Strong documentation and knowledge transfer capabilities To be considered, please ensure you complete your application on the Computappoint website. Services offered by Computappoint Limited are those of an Employment Business and/or Employment Agency in relation to this vacancy.

About the job Reporting to a Software Engineering Manager or Head of Engineering, we are seeking a Lead Back End Software Engineer to be the go-to authority for backend engineering, setting the technical vision, guiding architecture, and driving improvements in tools, processes, and delivery practices. You’ll remain hands-on for critical work, but your greatest impact will come from technical leadership, enabling teams to deliver robust, scalable, and secure services. With a strong foundation in backend technologies, including Java and Spring Boot, and event-driven systems such as Kafka, you’ll influence systems well beyond your own code, ensuring architectural integrity and high engineering standards across multiple teams. You’ll play a pivotal role in aligning technical strategy with business goals and ensuring our backend capabilities are future-ready. ___ ✨ 📝 What You'll Be Doing… Technical Leadership • Define and evolve backend architecture to ensure scalability, maintainability, and performance., • Set coding standards and champion secure development practices (e.g. OWASP)., • Influence technology choices, frameworks, and tools to support engineering excellence., • Oversee improvements to CI/CD pipelines, build processes, and operational workflows., • Can clearly and confidently articulate risk of technical problems to non technical stakeholders (e.g legal, product owner, designer), • Leads projects and features to good outcomes, ensuring appropriate engineering decisions are made to factor in technical debt, systems design, stability/reliability, monitoring/observability and business need. Hands-On Guidance • Contribute to key backend systems when your expertise is needed., • Review and refine critical code, ensuring alignment with architectural goals and best practices., • Provide technical oversight for major initiatives, ensuring architectural soundness. Mentoring & Collaboration • Coach, mentor, and develop engineers, raising capability across the backend discipline., • Facilitate design discussions, code reviews, and collaborative problem-solving sessions., • Build consensus for architectural and technical decisions across teams and stakeholders. Check out the full details, including day-to-day duties and responsibilities on our website: ___ 🤩We’d love to hear from you if… • You have strong backend engineering experience, ideally including Java (Java 11+) and Spring Boot., • You have proven ability to design and lead backend architectures for complex systems., • You are familiar with cloud environments (AWS is mandatory) and container orchestration (Kubernetes)., • You are experienced in event-driven architectures and messaging platforms such as Kafka., • You have strong understanding of RESTful APIs, microservices, and distributed system design., • You have knowledge of SQL and NoSQL databases., • You are experienced in CI/CD pipelines, automated testing, and modern deployment practices., • You are a skilled mentor with the ability to influence technical direction across teams., • You have strong problem-solving skills, balancing technical, product, and delivery considerations., • You are comfortable in agile environments using Git-based SCM and tools like Jira or Redmine., • You are aware of compliance frameworks such as ISO27001 and PCI. 🙌What’s in it for you? 🌴Annual Leave – 23 days holiday, plus all bank holidays, increasing by 1 day per year of service, after 3 years (up to 29 days), Birthday Day-Off, Extra day-off over Christmas, Annual volunteer day. 💰Recognition & Rewards - Annual Performance Bonus and Profit Share Scheme, Tech Loan, Length of Service rewards – 5 & 10 year clubs! 📍Hybrid Working (2-4 days per month office-based minimum) either in our London or Newcastle office; 💸Group Income Protection ❤️Life Insurance 💰Salary Sacrifice Pension, with 5% employer contribution match 🏃🏽Health & Wellbeing - Employee Assistance Programme, 24/7 Smart Health GP Access, Cycle to Work scheme, Bi-Annual Health Check 🌎 Digital Nomad policy – allowing you to work from anywhere for 4 weeks per year. 📚 Growth and Development – Relevant individual training budget and the opportunity to grow within a dynamic and supportive team. 👌Generous refer a friend scheme. ➕ Plus lots more! ___ About us We have an open, supportive, dynamic culture where talented people are trusted to contribute to the team and company by carrying out their roles in a professional, collaborative, and skilled manner. We value the expertise of our team members and offer opportunities for personal development and career progression within the company. 👉If this is the opportunity you have been waiting for, to work in a fast-paced company with innovative products and cutting-edge technology, please apply now. 📢The candidates must be eligible to work in the UK as no visa sponsorship can be provided.

AI Tooling / Solutions Engineer Graduate / Early Career Hybrid - London Up to £50k We’re building something special, and we want the right people at the center of it. Our platform is used by tier-one banks, hedge funds, and trading firms to identify latency bottlenecks and performance issues in high-performance electronic trading environments. Rather than throwing money or hardware at problems, our technology pinpoints the real root causes, using insight that only comes from deep experience in trading system performance engineering and first-hand knowledge from ex-technical traders. We’re now entering an exciting growth phase. Alongside our existing offering, we’re developing a Cloud/SaaS platform and scaling globally, supported by industry leaders who have already validated the product as a category leader from a technical perspective. The Role We’re looking for an AI Tooling / Solutions Engineer to help us rapidly and safely leverage modern AI technologies to improve internal workflows, usability, and scalability. This role is not about embedding AI directly into our client-facing product. Instead, you’ll focus on using existing AI tools, models, and frameworks to design and build supporting tooling that sits around the product, enabling internal teams (and, over time, partners) to operate it more effectively. This is a newly created, high-impact role driven by a strategic shift. AI is now central to how we maintain our technical lead, accelerate development, and scale without compromising IP, data security, or client trust. The position would suit a highly capable graduate or early-career engineer who enjoys applied problem-solving, experimentation, and building practical tools that deliver real impact. What You’ll Be Doing • Researching and evaluating modern AI tools, models, and frameworks (e.g. LLMs, AI-assisted development tools, orchestration frameworks), • Identifying where AI can safely and effectively reduce complexity or manual effort, • Designing and building internal tools such as:, • Lightweight GUIs for operational tasks, • Workflow automations for engineering and support teams, • Data enrichment or metadata tooling, • Prototyping quickly, validating with users, and iterating towards production-ready solutions, • Advising on model selection, cost vs performance trade-offs, and deployment considerations (cloud vs on-prem), • Acting as an internal point of reference for “what’s possible now” in applied AI, with a pragmatic, non-hype-driven mindset, • Documenting tools, decisions, and lightweight roadmaps What This Role Is — and Isn’t This role is: • About using AI to build tools, not building AI products, • Focused on wrappers, interfaces, workflows, and developer tooling, • Experimental, exploratory, and delivery-oriented, • Hands-on: researching, prototyping, implementing, and shipping This role is not: • About embedding AI into a core, client-facing product, • A long-term blue-sky AI research role, • A traditional DevOps, network, or domain-specific finance role, • About building fully autonomous or agentic AI platforms What We’re Looking For Background • Strong academic background, ideally a Master’s or PhD in AI, Computer Science, Software Engineering, or a related field, • Exceptional graduates with equivalent capability and hands-on experience will also be considered Technical Skills • Solid software engineering fundamentals (e.g. Python, modern scripting languages, APIs, basic UI development), • Hands-on experience using AI tools for development or problem-solving (e.g. LLMs, prompt engineering, model comparison, AI-assisted coding), • Understanding of AI limitations and trade-offs (accuracy, cost, latency, hallucinations, data handling), • Comfortable working with cloud-based tools, with awareness of data governance and deployment constraints Mindset • Highly curious, self-directed, and motivated to learn quickly, • Practical and delivery-focused rather than purely theoretical, • Comfortable operating with ambiguity and minimal hand-holding, • Excited by working in a small, fast-moving, non-corporate environment Experience in financial services / capital markets beneficial but not essential What Success Looks Like (First 6 Months) • Delivery of 2–3 internal tools that measurably reduce operational friction, • Clear recommendations on how and when AI tools should be used internally, • Demonstrated ability to independently research, propose, and execute solutions, • Strong working relationships with senior engineers and technical leadership Salary & Benefits • £40,000–£50,000 base salary (open to discussion for the right candidate,), • Flexible hybrid work set-up, • Accelerated learning and meaningful ownership from day one This is a rare opportunity to help shape how a highly specialised technology company adopts AI from the ground up. You’ll work on real, high-impact engineering problems, with direct influence over the tools, workflows, and technical direction of the business. With hands-on ownership and close exposure to senior engineers, the learning curve is far steeper than in a traditional graduate programme, offering accelerated growth and meaningful responsibility from day one.

Data Scientist Working Pattern: 4 days per week in the London office (Mon–Thurs) Salary: £65,000–£70,000 base + bonus Sponsorship: Not available The Opportunity We’re partnering with a high-performing international investment firm that uses advanced data science and AI to support investment decisions, due diligence, and portfolio value creation. The business works closely with founders and leadership teams of fast-growing, tech-enabled companies and operates at the intersection of data, product, and commercial decision-making. You’ll join a small, highly technical data team with strong visibility across the business, working on a mix of research, production ML, and short-cycle analytical projects. This role would suit someone early in their career who has excellent academic foundations and has already worked hands-on with LLMs, NLP, or RAG-style systems in a lean team environment. What You’ll Be Doing • Building and experimenting with LLM-based and NLP solutions for real-world commercial use cases, • Taking projects end-to-end: research → prototyping → production deployment, • Writing clean, production-ready Python, • Working across multiple projects simultaneously (research, production models, short analytical sprints), • Collaborating closely with data scientists, engineers, and non-technical stakeholders What We’re Looking For Experience • 1–3 years’ experience in data science, ML, or applied AI, • Hands-on exposure to LLMs, NLP, or language analysis (commercial or project-based), • Experience working in small teams with real ownership Technical Skills (Must-Have) • Strong Python, • Solid grounding in classical data science & ML fundamentals, • End-to-end project delivery experience, • Familiarity with LLMs (RAG, agents, or applied use cases), • Cloud experience (GCP preferred, AWS/Azure also fine) Nice to Have • Transformers / Hugging Face, • Agentic or orchestration frameworks, • BigQuery, Snowflake, or data lake environments, • Full-stack capability (very attractive but not required) Background • STEM degree (BSc or MSc strongly preferred), • Strong academics valued alongside hands-on experience, • No specific industry background required (product, tech, or FS all welcome) What’s On Offer • Competitive base salary + bonus, • Strong benefits package (pension, private healthcare, holiday), • High autonomy and technical ownership, • Exposure to genuinely interesting, non-cookie-cutter AI problems, • Small, high-calibre team with excellent learning opportunities Apply below!

London, Manchester or other UK locations Consultant (CL7) Practice: Data & AI Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at: ___ The Data & AI team: The Data and AI revolution is changing everything. It’s everywhere – transforming how we work and play. Join Accenture and help transform leading organisations and communities around the world. Accenture Data and AI is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance. Accenture’s Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture’s broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI. If you’re looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job. As a Customer Generative BI & Insight Manager you will: We’re aware that this role is in a quickly developing part of the AI industry and as such we’re aware that finding a single individual covering every area of expertise is unlikely. The ideal candidate would have: • Strong knowledge of semantic layer design and optimization (e.g., LookML, dbt, or similar frameworks)., • Hands-on experience integrating and fine-tuning Large Language Models (LLMs) for conversational analytics., • Exposure to cloud ecosystems (Azure, AWS, GCP) and understanding of data governance and ethical AI practices., • Deep understanding of marketing analytics & digital analytics, • Knowledge of customer service metrics such as CSAT, churn prediction, and operational KPIs., • Prior experience with conversational analytics or BI, • Knowledge of prompt engineering and model evaluation techniques, • Ability to translate complex business requirements into scalable AI-powered solutions., • Proven ability to manage cross-functional teams and drive adoption of innovative technologies., • Strong communication and stakeholder engagement skills to evangelize the proposition internally and externally., • Strategic thinker with a focus on delivering measurable impact and aligning solutions with enterprise goals., • Clear understanding of existing technologies and proposition in the space, • Strong understanding of data integration processes, APIs, and database management. Key responsibilities: • Design, deliver and optimize Generating BI & Insight solutions for large scale client., • Monitor performance of solution and continuously improve solutions, • Interpret complex user requirements and translate them into technical design., • Stay ahead of emerging trends in generative AI, BI, and conversational analytics., • Evangelize solutions internally and externally through demos and thought leadership., • Educate peers, team members and leaders in the business in the space. Collaboration and communication: • Act as the primary liaison between stakeholders to align Generative BI & Insight capabilities with business goals on the client’s behalf., • Act as the primary owner of Generative BI & Insight for the AI & Data Practice., • Proactively identify and mitigate risks related to AI and Management., • Comfortable operating in matrixed organizations and comfortable being part of cross functional teams. What’s in it for you: Our Total Rewards consist of a competitive basic salary, annual performance bonus, opportunities to acquire equity and a wide range of health and wellbeing benefits. These include perks such as: • 30 days of leave to spend each year plus 3 extra volunteering days per year for charitable work of choice., • Family-friendly and flexible work policies., • Attractive pension plan with financial wellbeing support and resources., • Private healthcare insurance plan and Mental Wellbeing support., • Employee Assistance Program, Career Development and Counselling., • A range of generous Parental Leave offerings. Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the outstanding services we are known for. Please note that with all our roles, you should expect some in-person time for collaboration, learning and building rapport with clients, peers, leaders and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. Accenture is an equal opportunities employer and encourages applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age citizenship, marital, domestic or civil partnership status, sexual orientation or gender identity.

About Us: We’re a VC-backed stealth-mode company building behavioural AI solutions for the retail industry. Our platform is designed from the ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store shopping experience. Role: We’re looking for an experienced Full Stack Engineer to work closely with product, design, mobile, and machine learning team members to design & build experiences that re-define in-store shopping. You'll help help build engaging & intuitive web experiences and the event-driven & real-time backend services that power them. You’ll work across the stack, implementing highly responsive UI components and real-time data flows and APIs on a backend designed for scale & flexibility. Responsibilities: • Design and implement reactive, real-time web interfaces that help manage & redefine what is possible with in-store content personalisation, • Contribute to distributed, event-driven backend services connecting our web experience with information from remote devices and external data sources., • Build and document APIs (OpenAPI/AsyncAPI) for mobile and web clients, • Model and manage structured and semi-structured data across storage layers, • Integrate AI-driven personalisation and real-time insights into user flows, • Contribute to overall system design: service boundaries, data ownership, scaling, and observability Essential Qualifications: • Built modern full-stack applications (Python/Java/Go + React), • Worked with a variety of storage technologies (eg. Postgres, Mongo, Redis, Object), • Experience with async and bi-directional communication protocols and patterns (eg. WebSockets, SSE), • Designed and implemented event-driven distributed systems (eg. Kafka/Pulsar, RabbitMQ, MQTT, or similar), • Experience with container orchestration and service containerisation (Kubernetes, Docker), • Built and deployed services on any major cloud providers' services (Azure, GCP, AWS), • Worked with AI development tools (eg. Bolt, Lovable, Cursor) to speed up iteration & prototyping Nice to Have: • Worked with real-time data collection and/or processing, • Worked in an IoT or Edge-oriented architectures, • Experience or knowledge in retail POS, inventory, or loyalty systems

Senior Product Engineer (Fullstack Software Engineer+AI) London, Old Street, Onsite, AI Agents, Skippr AI (direct, no agency please) ⭐ About the role We’re looking for a Product Engineer to join our small but high-calibre team in Old St. We’re a team that’s 100% AI-native — not just building AI agents, but using them daily to supercharge our own workflows. Our mission is to reinvent product development through specialised AI agents. We started with product design agents, and now we’re building something entirely new and multimodal — we’re pushing the limits of what agents can do. Skippr is backed by top VCs, like Bessemer (Anthropic, Perplexity, Shopify), and executives from Fiverr, Meta, Google, Lyft and more. 🏗️ What you’ll do • Modern stack: Build scalable systems using FastAPI, React, Supabase or similar modern technologies — we care more about your ability to ship quality code than specific stack experience. Own everything from database design to AI agent orchestration., • Agent Experience (AX): Shape intuitive interfaces for human–agent collaboration. Rapidly prototype and iterate with engineers and designers to discover the right interaction models for working productively with agents., • LLM Agentic Workflows: Build a system of agents — tool use, memory, retries, context updates, feedback loops, and MCP integration., • System Design & Technical Strategy: Partner directly with founders to define the technical path that balances moving fast now with scaling to many customers and dev tools later. ✅ This role is for you if • You’re a full-stack 0→1 builder who has shipped to production — ideally rapidly shipping apps and building scalable systems in containerised environments., • You’ve been a founder or founding engineer. You know what it means to build something from scratch that real people actually use or pay for., • You thrive in ambiguity. You can juggle shifting priorities, decide when to let small fires burn, and when to dive in., • You have grit. You’re used to hard tradeoffs and pushing through the messy middle to get to something great. ❌ This role is not for you if • You want remote or hybrid work. We believe early-stage startups win by moving fast in the same room — this is an in-office role, 5 days a week in our Old St office., • You dislike ambiguity. Priorities shift, experiments fail, and new opportunities appear — if you prefer stable roadmaps, this isn’t the place., • You don’t enjoy 0→1 environments. Early-stage means wearing multiple hats, solving unscoped problems, and building with imperfect information. 🤝 What we offer • Competitive salary + meaningful equity (EMI options): Everyone here has skin in the game and upside if we win., • Comprehensive benefits: Pension, private health insurance, and 25 days holiday plus bank holidays., • Real influence on architecture: You’ll make foundational decisions on our platform design that will shape how future engineers build on top of it., • Exposure across the startup stack: Beyond code — sit in on user interviews, shape product strategy, and get a front-row seat to how startups actually grow., • A team that’s genuinely excited: We’re obsessive about the problem, love what we’re building, and keep the culture sharp but supportive.

As a Business Development Representative at Cocentric, you will be focused on growth and driving scale for our products and services. As a BDR you will own outbound pipeline creation into HR, IT and Operations, shape our ABM motions, and be the start for enterprise and upper mid-market deals. You will combine hands on prospecting with playbook building, experimentation, and cross-functional orchestration. RESPONSIBILITIES • Own outbound pipeline creation: hit monthly meeting and Sales accepted opportunities targets and quarterly pipeline goals for priority ICPs/segments., • Prospect into target accounts: research, build lists, and multi-thread into HR, IT, and Operations leaders across enterprise/upper mid-market., • Run outbound campaigns end-to-end: write sequences, call, email, LinkedIn/video, and A/B test messaging, report results and iterate., • Qualify rigorously: use MEDDICC to confirm pain, impact, authority, and next steps, convert first meetings to SAOs., • Book and hold meetings: secure time with decision makers, drive confirmations/reminders, and recover no shows quickly., • Partner co-sell & ABM: coordinate joint plays with partnerships, build shared target lists and follow-ups., • Activate events: pre-book meetings, prospect, and execute structured post-event pursuit and micro-event follow-ups., • Handoff to Account Executives: document context, stakeholders, MEDDICC notes, and next actions; ensure smooth transitions to AEs., • Build playbooks & enablement: codify talk tracks, objections, triggers, and outreach templates, mentor junior BDRs., • Maintain clean data & tooling: keep CRM (HubSpot) accurate, update fields/activities, and collaborate with Sales Team Lead on dashboards., • Feed market intelligence: capture competitive insights, buyer triggers, and product feedback to Sales, Marketing, and Product. WHAT YOU’LL BRING • 1–2 years’ BDR/SDR experience in B2B SaaS (enterprise/upper mid-market preferred) with consistent top-quartile attainment., • Proven cold outbound skillset (phone first mentality, modern social/email craft) and comfort speaking to HR, IT, and Operations leaders., • Working knowledge of MEDDICC, ABM, and multi-threading., • Strong copywriting, research and commercial curiosity; you test, measure and iterate., • Tools: HubSpot, Lusha, LinkedIn Sales Navigator, intent data, enrichment (e.g., ZoomInfo), and call recording, • Nice to have: partner co-sell motions, event prospecting, frontline/deskless tech domain. WHY COCENTRIC • Competitive compensation package and commission., • Individual training plan, offering world-class sales enablement upskilling., • Be part of a collaborative, high-growth team backed by recent investment., • Hybrid working model with a base in our London office and flexibility to work from home., • 29 days annual leave, including a day off for your birthday, plus bank holidays., • Our office closes over Christmas, • Generous private medical care and additional perks with Vitality, • Cocentric recognise that your family is important and being able to spend quality time with your family as it grows is a wonderful experience. This is why we offer enhanced Maternity, Paternity, Adoption and Parental leave.

LLM, RAG & Agentic AI Engineer – Insurance Sector Occasional travel client offices and two trips to London HQ per month Role Overview Lead the design and delivery of AI-native transformation initiatives for insurance clients, spanning agentic systems, retrieval architectures, semantic layers and decision intelligence. This is a senior, hands-on consulting role combining deep AI engineering expertise with strong client-facing presence, shaping both insurance-specific client outcomes and the firm’s long-term AI engineering capability. As demand accelerates across claims automation, underwriting decision support, policy servicing, fraud detection, compliance and operational efficiency, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies and AI-enabled execution within regulated insurance environments. The Consulting Engineer is a hands-on AI systems builder who combines engineering depth with commercial and product thinking to design, build and deploy LLM- and agent-driven solutions for insurers, brokers and value chain partners. You will work directly with senior insurance stakeholders (Claims, Underwriting, Operations, IT, Risk, Compliance, Actuarial) and alongside consulting and orchestration roles, translating complex insurance problems into safe, reliable and auditable AI solutions. Key Accountabilities Client-Facing AI Engineering & Agentic System Design (Insurance-Focused) You will design and deliver production-grade AI systems for insurance clients, including: • LLM-powered applications for claims handling, underwriting support, policy servicing, document processing and customer operations, • Multi-agent architectures for insurance workflows, including triage, decision support, escalation, delegation and human-in-the-loop controls, • Retrieval and vector-based systems over policy wordings, endorsements, claims files, loss runs, underwriting guidelines and regulatory documentation, • Semantic layers, ontologies and knowledge models aligned to insurance data structures, coverage logic and risk taxonomies, • Integrations with core insurance platforms (claims systems, PAS, underwriting workbenches), data warehouses and third-party providers, • Prompt engineering at scale with regulatory guardrails, explainability, traceability and auditability, • Safety constraints for hallucination control, coverage interpretation accuracy and customer-facing use cases Technical Discovery, Feasibility & Solution Architecture Working closely with consulting counterparts, you will: • Translate ambiguous insurance challenges into clear, feasible AI solutions, • Assess client data maturity, policy document quality, legacy platforms and security constraints, • Shape use cases across claims leakage reduction, underwriting efficiency, fraud detection and compliance automation, • Work directly with insurance SMEs to surface edge cases, exceptions, regulatory nuances and operational realities, • Produce clear, concise technical artefacts suitable for regulated, risk-aware client audiences Delivery Excellence, AI Ops & Reliability (Regulated Environments) You will ensure solutions are enterprise-ready and regulator-safe by: • Implementing evaluation frameworks for accuracy, coverage interpretation, decision consistency and bias, • Designing monitoring, logging and tracing suitable for regulated insurance environments, • Applying governance, risk and compliance principles (eg audit trails, explainability, access controls), • Supporting controlled releases and operational handover into insurer IT and operations teams, • Ensuring reliability, reproducibility, performance and cost discipline at insurance scale Reusable Assets & Insurance AI Capability Building As part of a consulting-led engineering practice, you will: • Build reusable insurance-specific accelerators, agent patterns and reference architectures, • Contribute to internal playbooks covering claims, underwriting, policy servicing and compliance use cases, • Share emerging research, frameworks and AI trends relevant to the insurance sector, • Influence delivery methodology, technical standards and agentic design patterns for regulated industries Experience & Skills This is a hands-on consulting engineering role. Candidates should bring: • Experience in software engineering, AI engineering or applied data engineering, • Strong hands-on experience with LLMs, embeddings, RAG pipelines and vector databases, • Experience designing or implementing multi-agent systems or tool-calling frameworks, • Strong Python skills with experience building production-grade, regulated systems, • Experience with at least one major cloud AI ecosystem (Azure/OpenAI, GCP/Vertex, AWS, Anthropic), • Familiarity with semantic modelling, ontologies or knowledge graph concepts, ideally applied to complex domains, • Proven ability to rapidly prototype and validate solutions with business stakeholders, • Experience working directly with clients in consulting, professional services or regulated enterprise environments, • Insurance domain experience (claims, underwriting, policy, risk, compliance or adjacent systems) strongly preferred

Lead AI Engineer – Next-Gen Predictive Intelligence Platform Startup / AI / Product / Financial Services Central London (2–3 days in office) | £100k-£120k base + strong equity A high-growth FinTech startup in London is building an AI-powered Predictive Intelligence Platform for corporates and financial institutions. Their technology connects market events, client data, and emerging opportunities through advanced agentic AI and RAG-based systems, helping financial institutions anticipate client needs before they arise. They have built a live MVP in record time, with enterprise client demos underway, and are now hiring a Lead AI Engineer to join as permanent hire number four in the founding technology team. This is a rare opportunity to join at the inflection point — a hands-on, high-ownership, high-impact role where you’ll shape the AI core of a company redefining predictive intelligence in finance. Role Overview Reporting directly to the CTO, you’ll lead the design and productionisation of the company’s core AI systems. You will architect, implement, evaluate, and scale RAG pipelines, agentic workflows, and LLM-based intelligence frameworks, driving real-world impact across financial markets. The role is approximately 80% hands-on and 20% strategic, covering Python engineering, system architecture, and model evaluation, while collaborating closely with product and domain experts. Key Responsibilities • Build and deploy RAG pipelines, agentic AI workflows, and LLM integration frameworks, • Own AI evaluation, guardrails, and observability systems, • Translate financial workflows into scalable AI capabilities, • Collaborate directly with the CTO and external development teams, • Help shape the AI roadmap and mentor future hires About You • Strong experience in LLM engineering, RAG systems, prompt orchestration, and agentic architectures, • Proven experience delivering ML/AI systems into production environments, • Excellent Python engineering and system design skills, • Familiarity with APIs, MLOps, and cloud deployment (AWS, GCP, or Azure), • Clear communicator, comfortable in fast-paced, early-stage environments, • STEM degree required; MSc in AI, Computer Science, or a related field preferred, • You have experience in financial services/regulated industry, • You have B2B experience What’s on Offer • £100k-£120k base salary plus meaningful equity, • Join at ground level (hire number four) with real ownership and influence, • Work with an exceptional founding team from top-tier consulting, technology, and finance backgrounds, • Hybrid working model: 2–3 days a week in Central London, • Visa sponsorship not available

Data Engineer with Palantir Foundry — Digital Products/Applications / Automation & Analytics Location: London, UK (Hybrid 2-3 days) Are you passionate about building scalable data platforms and driving digital transformation through analytics? A leading provider of digital and automation solutions in the technology and consulting industry is seeking a Data Engineer to join its growing team in London. In this role, you’ll design, build, and maintain robust data pipelines across hybrid cloud environments (AWS & Azure), supporting projects for a global enterprise with diverse business interests — spanning energy, infrastructure, automotive, and more. What You’ll Do • Design, develop, and maintain reliable data pipelines and architectures., • Integrate and transform raw data from multiple sources into usable, high-quality formats., • Ensure the stability, scalability, and governance of existing data applications., • Collaborate with data scientists, analysts, and consultants on dynamic analytics projects., • Lead or support technical aspects of Proof of Concept (PoC) initiatives., • Mentor junior engineers and contribute to DataOps best practices. Essential skills and experience: • Minimum 4 years’ experience in a data engineering or similar technical role., • Strong proficiency with Python and SQL., • Palantir Foundry experience ideally up to and at/around 2+ years, • Hands-on experience with Airflow or equivalent orchestration frameworks., • Solid understanding of data warehouses, data lakes, and integration tools., • Proficiency with AWS and Azure cloud ecosystems., • Experience building and debugging back-end servers, APIs, and data applications., • Knowledge of data modelling, mining, and unstructured data processing., • Familiarity with Git and CI/CD principles for code deployment and version control., • Familiarity with dbt, Power BI, or Streamlit., • Experience with vector databases, web scraping, or Agile methodologies., • Basic understanding of AI and ML integrations within data platforms. This is an excellent opportunity to work on cutting-edge data transformation projects across multiple sectors while advancing your technical expertise in a collaborative, forward-thinking environment. Please apply with your latest CV showing all relevant experience, and email your CV with salary expectations, availability to interview and start working Dr Marina Economidou, Executive Solutions Consultant

Company Description Goaco is a global consultancy established in 2010 and headquartered in the UK, specialising in delivering secure, innovative, and user-focused digital solutions. With expertise in digital transformation, cybersecurity, data & AI, software development, and cloud services, Goaco serves clients in both public and private sectors across the UK, UAE, and Saudi Arabia. The company is powered by over 100 in-house professionals and a vast network of 16,000+ associate consultants under the Goaco Group. As trusted UK Government digital experts, Goaco is dedicated to providing scalable and secure solutions that address real-world challenges, driving impactful and sustainable transformation. This role is ideal for an experienced .NET Software Developer who wants to progress into AI Engineering, with full training, mentoring, and certification support provided. ROLE OBJECTIVE The AI Engineer (Training & Certification Provided) will design, build, and integrate AI-enabled capabilities into enterprise-grade software solutions. While prior AI engineering experience is not required, you must have strong .NET development skills and a genuine interest in AI. Goaco will provide structured training and support towards Microsoft Azure AI certifications, including Azure AI Engineer Certified, enabling you to grow into the role while delivering real solutions. KEY RESPONSIBILITIES 1. Software Engineering (.NET Focus) • Design and develop high-quality services using C# and .NET (.NET 6+)., • Build secure, scalable APIs and backend components., • Apply clean code, testing, and modern engineering practices., • Contribute to cloud-native application architectures. 2. AI Engineering (Training Provided) • Learn and apply AI technologies using Microsoft Azure AI services and Azure OpenAI., • Integrate AI capabilities into .NET applications., • Build AI-assisted features such as:, • Intelligent search and knowledge retrieval, • Workflow automation, • Natural language interaction, • Implement prompt handling, embeddings, and AI service orchestration. 3. Data & Integration • Work with structured and semi-structured data sources., • Support data preparation and integration for AI workflows., • Collaborate with data specialists to understand data quality and constraints. 4. Responsible & Secure AI Delivery Deliver AI-enabled solutions aligned with: • Responsible AI principles, • Security and privacy requirements, • Governance and audit expectations, • Support monitoring, evaluation, and continuous improvement of AI features. 5. Collaboration & Professional Development • Work closely with engineers, architects, analysts, and delivery leads., • Participate in technical workshops, code reviews, and design sessions., • Complete supported training and achieve Microsoft AI certifications. KEY DELIVERABLES • Production-ready .NET services enhanced with AI capabilities, • Well-documented APIs and integration components, • Secure and compliant AI-enabled features, • Contributions to reusable engineering patterns and standards SKILLS & EXPERIENCE Essential • Strong commercial experience with C# and .NET (mandatory), • Experience building backend services and APIs, • Solid understanding of software engineering best practices, • Interest in AI and applied machine learning, • Willingness to undertake training and certification Highly Desirable • Microsoft Azure AI Engineer Certification (or willingness to achieve), • Experience using Microsoft Azure, • Familiarity with DevOps and CI/CD pipelines, • Exposure to data-driven or intelligent systems WORKING STYLE • Developer-led, analytical, and outcome-focused, • Curious and motivated to learn AI technologies, • Comfortable working in evolving problem spaces, • Clear communicator across technical and non-technical audiences

AI Engineer [Analyst/Associate] About the job As an AI engineer on the AI team at Cerberus, you’ll work on high-impact projects that combine the pace of a startup with the reach of a global investment platform. Our team partners directly with internal investment desks as well as portfolio companies across industries to build and deploy machine learning systems that accelerate decision-making and unlock business value. You’ll design, implement and deploy production-grade AI and ML systems, ranging from NLP pipelines that extract insights from complex documents to integrating models with third-party services to streamline workflows. We’re looking for AI engineers who care about impact: people who want to see their models not just trained, but deployed, adopted, and driving measurable results. What You’ll Do • Design and deliver AI systems: Build and deploy machine learning models and data-driven products that directly impact investment decisions and portfolio company performance., • Drive measurable impact: Partner with internal desks and portfolio teams to integrate ML products into their existing workflows to drive high adoption and value., • Move fast and iterate: Work in an agile environment where experimentation, pragmatic engineering, and rapid iteration are key to creating business value., • Leverage modern tools and methods: Use contemporary ML frameworks, cloud platforms, and MLOps best practices to build scalable, reusable solutions., • Communicate insights clearly: Distill complex technical findings into concise, actionable narratives for technical and business audiences alike., • Keep learning and pushing boundaries: Expand your engineering toolkit across the full ML development lifecycle—from prototyping to deployment—and explore new architectures, tools, and approaches to solving complex, real-world problems. Sample Projects You’ll Work On • Generative AI for due diligence: Lead the rollout of our in-house GenAI platform across investment desks to automate and accelerate due diligence. You’ll configure and extend the system for desk-specific processes, run proof-of-value pilots, measure business impact, and collaborate closely with users to drive adoption and effectiveness., • Automated Deal Sourcing Workflows: Prototype experimental systems to automate early-stage deal sourcing. You’ll build integrations to extract signals from public and proprietary data sources, integrate with third-party APIs to enrich lead information, and integrate with in-house GenAI platform to create a structured data asset. This includes designing modular components for adaptability across investment strategies, running pilot deployments, and collaborating with users to refine workflows and measure sourcing efficiency. Your Experience We’re a small, high-impact team with a broad remit and diverse technical backgrounds. We don’t expect any single candidate to check every box below - if your experience overlaps strongly with what we do and you’re excited to apply your skills in a fast-moving, real-world environment, we’d love to hear from you. • Strong technical foundation: Degree in a STEM field (or equivalent experience) with hands-on expertise in applied statistics, machine learning, forecasting, NLP, computer vision, or optimization., • Python expertise: Skilled in writing production-grade code in Python (e.g., using type hints and understanding the limitations of the language) and in building data pipelines and ML models using modern libraries across multiple domains:, • Data science stack: NumPy, pandas / polars, scikit-learn, XGBoost, LightGBM, • Deep learning: PyTorch, JAX, • Statistical programming: NumPyro, PyMC, • Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries and manage data pipelines for analytics and modeling workflows., • ML Ops & deployment: Familiarity with deploying models into production using APIs or microservices, and applying ML Ops practices such as experiment tracking (e.g., MLflow, Weights & Biases), model versioning, and performance monitoring. Experience collaborating with engineering teams to ensure scalable and maintainable deployment., • Backend & service development: Experience building production-grade Python webservices (e.g., FastAPI, Flask), developing APIs, and integrating ML components into broader systems., • Software engineering practices: Comfortable with testing, code reviews, CI/CD pipelines, and version control (Git, Azure DevOps) beyond the very basics, ensuring reliable and maintainable codebases., • Infrastructure & cloud: Familiarity with cloud platforms (Azure preferred; AWS or GCP also valuable), containerization (Docker, Kubernetes), and infrastructure-as-code tools like Terraform., • Applied AI development: Experience working with LLM APIs (e.g., OpenAI) and building lightweight AI agents. Familiarity with orchestration tools like Temporal is a plus., • Collaboration and impact: Strong problem-solving ability, intellectual curiosity, and a pragmatic approach to delivering solutions that create measurable business value, while remaining statistically robust. About Us We are a new, but growing team of AI specialists - data scientists, software engineers, and technology strategists - working to transform how an alternative investment firm with $65B in assets under management leverages technology and data. Our remit is broad, spanning investment operations, portfolio companies, and internal systems, giving the team the opportunity to shape the way the firm approaches analytics, automation, and decision-making. We operate with the creativity and agility of a small team, tackling diverse, high-impact challenges across the firm. While we are embedded within a global investment platform, we maintain a collaborative, innovative culture where our AI talent can experiment, learn, and have real influence on business outcomes.

Full Stack Engineer (Web & Data) Industry: Technology / Digital Products / Automation & Analytics Location: London, UK (Hybrid 1-2 days) Are you passionate about developing seamless, data-driven digital experiences? An established digital transformation and technology solutions provider is looking for a Full Stack Engineer (Web & Data) to join its growing Automation & Analytics team in London. This hybrid role blends web development with data engineering, offering exposure to everything from dynamic front‑end interfaces and API development to cloud‑based data pipelines and analytics platforms. If you love combining creativity in web development with the logic and scalability of data engineering, this is your opportunity to grow in a cutting‑edge environment. What You’ll Do • Design, develop, and maintain end‑to‑end web applications—from intuitive front‑end interfaces to robust back‑end servers and APIs., • Build and optimise data platforms and ETL/ELT pipelines supporting analytics and AI‑driven applications., • Prepare and structure data for dashboards, reporting, and machine learning solutions., • Collaborate with consultants, data scientists, and project teams to deliver reliable and scalable systems., • Manage CI/CD deployments and version control across hybrid AWS and Azure environments., • Analyse system performance, troubleshoot issues, and continuously improve existing solutions. Essential: • 1–2 years of experience as a Full Stack Engineer, Web Developer, or Data Engineer., • Bachelor’s or Master’s degree in Computer Science, Engineering, or a STEM field., • Proficiency in Python and SQL for back‑end logic and data operations., • Hands‑on experience with front‑end frameworks such as React or Next.js., • Experience creating and maintaining APIs, working with relational/non‑relational databases., • Familiarity with data orchestration tools (e.g. Airflow) and data warehouse/lake design., • Practical knowledge of AWS or Azure cloud environments., • Strong understanding of Git, CI/CD, and modern deployment practices., • Experience with WordPress/PHP or Streamlit for rapid web applications., • Familiarity with dbt, Power BI, or similar data analytics tools., • Understanding of machine learning, AI integration, and vector databases., • Interest in UI design or Agile project delivery. This role offers a rare opportunity to develop both front‑end and data engineering capabilities within a forward‑thinking digital solutions team. You’ll gain hands‑on experience with next‑generation technology stacks, cross‑functional collaboration, and projects shaping how global enterprises use data and automation. Please apply with your latest CV showing all relevant experience and email your CV with your salary expectations, availability to interview and start working Dr Marina Economidou, Executive Solutions Consultant

Who are we and What do we do? ShareChat (Mohalla Tech Pvt Ltd) is India’s largest homegrown social media company and the only local player to achieve profitability in the industry, with 200+ million Monthly Monetizable Users across all its platforms. Founded in 2015, ShareChat has social media brands such as the ShareChat App and Moj App and micro drama app QuickTV under its portfolio. QuickTV, the newest addition to ShareChat's family of apps, crossed the 10 million downloads mark within 3 months of launch and currently has 60Mn MAUs across the network viewing the vertical episodic content. Today, the ShareChat network maintains a whopping 1,000 Cr ARR and is India’s leading social media platform servicing users across the country in 15 regional languages. This growth has led to a 28% YoY revenue growth in the July-Sept (2025-26) quarter and increased it by more than 60% in the Oct-Dec quarter. What does the team do? Serving recommendations to 300+ million users entails developing large scale personalization and recommendation models that understand user needs and preferences in realtime, while also helping creators grow their audiences on our platforms. A subset of the problems we tackle include: • Serving personalized feeds for 300+ million users via real-time candidate generators, multi-task prediction models, whole-page optimization, and in-session personalization., • Nurturing our content and creator ecosystem, and developing models for strategic content valuation., • Multi-objective balancing and long term measurement. We rely extensively on state-of-the-art ML around personalization, deep learning, causal inference, optimization, ranking and recommendation. What You’ll Do Within the Sharechat AI team, we are looking for an experienced Staff engineer to lead the engineering efforts around serving personalization models efficiently at scale, leading efforts across 10+ MLEs, SDEs and decision scientists working on feed ranking and candidate generation systems that power Sharechat’s recommender systems. In this role you will help us further improve our recommendation systems in order to drive up user retention and engagement while minimizing server and cloud costs of serving large scale models, and act as a subject matter expert in the recommender systems and ML ranking domains. You would be joining us at an exciting time! The science behind recommendation systems is rapidly changing, and we’re making big progress at a rapid pace. Who are you? • 8+ years of industry experience with a solid understanding of engineering, infrastructure and ML best practices. Strong coding skills with Go or JAVA, • Design and help develop systems that serve recommendations to over 300 million users, • Drive engineering roadmap creation and execution, specifically around feed ranking and recall oriented candidate generation systems, • Provide technical guidance in ranking systems design, implementation & experimentation, and take end to end ownership of ML systems, and key user satisfaction based metrics, • Drive architectural strategy and design for complex ML systems that support the needs of users, creators and content stakeholders, • Familiarity with cloud platforms such as AWS, Google Cloud, or Azure. Knowledge of containerization and orchestration tools like Docker and Kubernetes is a plus., • Experience designing end to end ML data pipelines. Experience with database technologies such as PostgreSQL, MySQL, or MongoDB, Spark, Databricks and stream data processing such as Kafka, RedPanda is a plus., • Direct experience in building and applying large-scale (100M+ users) machine learning solutions for personalizing recommendations., • Hands-on experience building training frameworks and/or serving large-scale models using tools such as Tensorflow or PyTorch is a plus., • You stay up-to-date with the state-of-the-art open source infrastructure solutions applicable to designing and improving large scale recommender systems, data engineering, and machine learning, • You have a Master’s or PhD in Computer Science, statistics, or an engineering field with 5+ years of experience Where will you be? London(Remote) What's in it for you? At ShareChat, our values—Ownership, Speed, User Empathy, Integrity, and First Principles—are at the core of our ways of working. We believe in hiring top talent and grooming future leaders by providing a flexible environment to aid growth and development.

MLOps Engineer Location: London, UK (Hybrid – 2 days per week in office) Day Rate: Market rate (Inside IR35 Duration: 6 months Role Overview As an MLOps Engineer, you will support machine learning products from inception, working across the full data ecosystem. This includes developing application-specific data pipelines, building CI/CD pipelines that automate ML model training and deployment, publishing model results for downstream consumption, and building APIs to serve model outputs on-demand. The role requires close collaboration with data scientists and other stakeholders to ensure ML models are production-ready, performant, secure, and compliant. Key Responsibilities • Design, implement, and maintain scalable ML model deployment pipelines (CI/CD for ML), • Build infrastructure to monitor model performance, data drift, and other key metrics in production, • Develop and maintain tools for model versioning, reproducibility, and experiment tracking, • Optimize model serving infrastructure for latency, scalability, and cost, • Automate the end-to-end ML workflow, from data ingestion to model training, testing, deployment, and monitoring, • Collaborate with data scientists to ensure models are production-ready, • Implement security, compliance, and governance practices for ML systems, • Support troubleshooting and incident response for deployed ML systems Required Skills and Experience • Strong programming skills in Python; experience with ML libraries such as Snowpark, PySpark, or PyTorch, • Experience with containerization tools like Docker and orchestration tools like Airflow or Astronomer, • Familiarity with cloud platforms (AWS, Azure) and ML services (e.g., SageMaker, Vertex AI), • Experience with CI/CD pipelines and automation tools such as GitHub Actions, • Understanding of monitoring and logging tools (e.g., NewRelic, Grafana) Desirable Skills and Experience • Prior experience deploying ML models in production environments, • Knowledge of infrastructure-as-code tools like Terraform or CloudFormation, • Familiarity with model interpretability and responsible AI practices, • Experience with feature stores and model registries

Senior Data Engineer (Contract) Location: Edinburgh, UK and/or London, UK Onsite: 3 days per week (mandatory) Start: ASAP Duration: 12–24 months (high likelihood of extension) About the Role We’re hiring a Senior Data Engineer for a long-term engagement with a large, global technology organization operating at scale in AI-driven and data-intensive environments. You’ll work on building high-performance data pipelines, supporting advanced analytics and ML-driven initiatives, and ensuring robust, scalable data infrastructure across multiple domains. What You’ll Do • Design, build and maintain scalable data pipelines for large, complex datasets, • Process and integrate structured and unstructured data from multiple sources, • Ensure data quality, reliability, and performance end-to-end, • Collaborate closely with AI / ML teams to deliver production-ready datasets, • Support data governance, lineage, and documentation in a pragmatic, impact-focused way What You Bring • Senior level Data Engineering experience, • Excellent Python and SQL skills, • Experience in big data environments (e.g., Spark, distributed systems, cloud data platforms), • Solid understanding of data modeling, ETL/ELT, and pipeline architecture, • Willingness to work onsite in Edinburgh or London 3 days/week Nice to Have • Exposure to ML / AI data workflows, • Experience with orchestration tools (e.g., Airflow or similar), • Cloud platform experience (AWS, Azure, or GCP) Please include: • Availability start date, • Hourly rate, • A brief 2–3 line summary on why your background is a strong match for this project

About Us We are a VC-backed startup focused on hyper-personalisation, currently in stealth. Inspired by the latest in recommender systems, we leverage transformers and graph learning alongside decision-making models to build the most engaging customer experiences for in-store retail. Our mission is to change retail forever through hyper-personalised experiences that are both simple and beautiful. About the Job – Machine Learning Engineer We are looking for a Machine Learning Engineer with strong software engineering fundamentals to join our team of domain experts and researchers. You will be responsible for building robust, scalable ML systems that bring our foundation models for retail from prototype to production. Key Responsibilities • Design and build production-grade ML infrastructure, including training pipelines, model serving, and monitoring systems., • Collaborate with research engineers to translate experimental models into reliable, maintainable software., • Optimise ML systems for performance, scalability, and cost-efficiency in cloud environments (distributed clusters, GPUs)., • Month 1: Onboard to existing ML codebase and infrastructure; identify technical debt and reliability gaps; ship incremental improvements to model serving latency or pipeline robustness., • Month 3: Own and deliver a major infrastructure component (e.g., feature store, training orchestration, or model registry); improve system observability with logging, metrics, and alerting., • 3–5+ years building and maintaining ML systems in production environments, • BSc or MSc in Computer Science, Software Engineering, or a related field, • Strong software engineering skills: clean code, testing, debugging, version control, and system design, • Proficiency in Python with experience in ML frameworks (PyTorch, TensorFlow, or JAX), • Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker, Kubernetes), • Experience with MLOps tooling (MLflow, Kubeflow, Weights & Biases, or similar), • Building data pipelines (real-time or batch) using tools like Apache Spark, Kafka, Airflow, or dbt, • Familiarity with recommender systems, transformers, or graph neural networks, • Opportunity to build technology that will transform millions of shopping experiences., • Real ownership and impact in shaping product and company direction., • A dynamic, collaborative work environment with cutting-edge ML challenges., • Competitive compensation and equity in a rapidly growing company.

Senior Data & AI Scientist | Up to £80,000 + 10% Bonus | Hybrid (London 3 days) Are you passionate about shaping the next generation of AI-powered products? Join a dynamic, fast-moving business that’s embedding AI into everything from customer interactions to internal tools. We’re looking for an experienced Data & AI Scientist to help drive innovation across cutting-edge AI initiatives — from chatbots and voice assistants to advanced retrieval-augmented generation (RAG) systems and agentic workflows. The Role You’ll work closely with the AI Engineering and Data Science teams to: • Develop and prototype AI-driven solutions across customer-facing and internal applications., • Build and optimise LLM-based assistants, RAG pipelines, and agentic AI workflows., • Collaborate on the architecture and deployment of scalable AI solutions (with support from engineering)., • Partner with stakeholders to translate business needs into practical, intelligent systems., • Mentor junior team members and contribute to the evolution of our AI tooling stack. This role is ideal for a hands-on AI practitioner who enjoys experimentation, collaboration, and delivering real-world value. What You’ll Bring • 3+ years experience in a commercially driven customer environment, • Strong Python skills and solid grounding in AI/ML fundamentals., • Experience with some of Databricks, LangChain, vector databases, or LLM orchestration tools., • Knowledge of RAG pipelines, transformers, and modern AI architectures., • Understanding of deployment or MLOps best practices (Azure experience a plus)., • Recent, hands-on experience with applied LLM projects., • Strong communication and stakeholder engagement skills. A Master’s degree in Computer Science, ML, or AI is preferred but not required. The Opportunity • Be part of an ambitious AI journey - already 70% built, with big plans for the next 5 years., • Contribute to short-term LLM “quick wins” and longer-term agentic AI development., • Work in a collaborative, supportive environment with senior data leaders., • Help shape how AI transforms both customer experience and business efficiency. Package & Details • Salary: Up to £80,000 + 10% Bonus + 5% Matched Pension, • Hybrid working: 3 days per week in London office (Tues/Weds fixed), • No visa sponsorship available Apply below!

Who We Are Cint is a pioneer in research technology (ResTech). Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more. The Cint platform is built on a programmatic marketplace, which is the world’s largest, with nearly 300 million respondents in over 150 countries who consent to sharing their opinions, motivations, and behaviours. We are feeding the world’s curiosity! Job Description Our vision for the role We are searching for an experienced Senior Cloud Infrastructure Security Engineer with an unquenchable thirst for automation and a passion for DevSecOps methodology. You'll be working with a team of other engineers to build out and secure our expanding cloud infrastructure in AWS. While this is a hands-on engineering position (not a CISO or a consulting role), you will need the confidence and gravitas to heavily influence engineers and managers across a wide technical function. The team holds itself accountable to a high standard of build quality. We have recently completed the first major phase of a completely green-field infrastructure and platform rebuild that is designed to underpin Cint’s business applications for the next decade, while scaling to support a 10-fold growth in revenue. We are compulsive about infrastructure as code (nothing in our platform is created or deployed unless via a code change) and driven to achieve a full end to end continuous deployment pipeline. Major elements of our platform include AWS (we make significant use of S3, RDS, Kinesis, EC2, EMR, ElastiCache, ElasticSearch and EKS). Elements of the platform will start to expand into GCP (Compute Engine, Cloud Storage, Google Kubernetes Engine and BigQuery). Other significant tools of the platform include Linux, Terraform, Kubernetes, Docker, Packer, Ansible and Jenkins. We support applications and services written in Golang, Python, Java, Scala and .Net. We monitor and alert on everything we deploy via Grafana, Prometheus, Graphite and ELK stacks. You will be someone that shares our values and ambitions and can bring security best practices and specific cloud security expertise to the party. You will additionally be the kind of person that is energised by complex challenges, teamwork and problem solving. In return, we can offer a great tech culture, highly competitive compensation packages and employment benefits. Qualifications Responsibilities • Work as part of the Infrastructure team defining and improving our general security posture across legacy and green field resources including data, applications and networks, • Provide point of expertise on application, data and network security to our wider engineering teams - engaging with them in order to ensure consistent adoption of security policies and best practice, • Participate in the automation of software to our cloud platform and embed security into our methodology, embracing DevSecOps, • Improve our monitoring and alerting systems to enhance them with specific and relevant security data points, • Participate in an on-call rotation and assist with troubleshooting issues that arise, • Three years or more experience in Cloud Infrastructure roles (predominantly AWS) working within teams that practice DevSecOps, • Ability to interact comfortably with AWS via CLI and/or API, • Proficient in managing Infrastructure exclusively with Terraform, • Specific expertise in threat assessment, attack surface management, data security, the network stack at L4 and L7, DNS, VPC security, IGW, WAF and CloudFront, • Experience designing and managing IAM policies, roles and trust policies, • Good knowledge of most of VPN, MFA, SAML, OAuth2, KMS and TLS, • Good knowledge of some IdP (Okta, OneLogin, Auth0) frameworks and integrations, • Experience building and running Docker images/containers securely, including container orchestration security, • Experience of code security audit, static and dynamic analysis, defensive programming techniques and visualisation and measurement of security KPIs, • Expertise in at least one scripting or programming language (Python, Bash, Ruby, Node, Golang, Java), • AWS Certified Security Specialist, • Hands on experience designing and implementing security controls within GCP, • Experience defining and operating a Security Incident Response process, • Good knowledge of monitoring and alerting using one or more of: Graphite, Statsd, Prometheus, Grafana, OpenSearch, • Any experience of ISO27001 certification processes, • Understanding of “cloud native” and 12-Factor applications, • Offensive or defensive penetration testing experience Additional Information Our Values Collaboration is our superpower • We uncover rich perspectives across the world, • Success happens together, • We’re pioneers in our industry, • Our curiosity is insatiable, • We’re accountable for our work and actions, • Excellence comes as standard, • We learn from each other’s experiences, • Stop and listen; every opinion matters, • We embrace diversity, equity and inclusion. More About Cint We’re proud to be recognised in Newsweek’s 2025 Global Top 100 Most Loved Workplaces®, reflecting our commitment to a culture of trust, respect, and employee growth. In June 2021, Cint acquired Berlin-based GapFish – the world’s largest ISO certified online panel community in the DACH region – and in January 2022, completed the acquisition of US-based Lucid – a programmatic research technology platform that provides access to first-party survey data in over 110 countries. Cint Group AB (publ), listed on Nasdaq Stockholm, this growth has made Cint a strong global platform with teams across its many global offices, including Stockholm, London, New York, New Orleans, Singapore, Tokyo and Sydney. () Additionally, in a world of AI, we want our candidates to understand our approach to the use of AI during the interview and hiring process, so we'd appreciate you reading our ___.

Job Title: Java Developer Location: UK Experience: 2–5 years Education: Bachelors in Science (IT/Computer Science/Engineer) Employment Type: Full-Time UK based candidates only. Job Summary: We are seeking an experienced Java Developer with 2 to 3 years of hands-on experience in building applications using Java, Spring Boot, and Microservices architecture. The ideal candidate should also have a basic understanding of JUnit for testing and cloud platforms. Key Responsibilities: • Design, develop, and maintain backend services using Java and Spring Boot, • Build and maintain microservices and REST APIs, • In-depth experience in building RESTful APIs and microservices using Spring Boot., • Proficient in using Spring Boot starters, auto-configuration, and Spring Security., • Integrated Spring Data JPA with Spring Boot applications and handled database migrations using tools like Flyway or Liquibase., • Experienced in working within Agile/Scrum environments, participating in daily stand-ups, sprint planning, retrospectives, and backlog grooming., • Familiar with Agile tools such as JIRA, Confluence, or Azure DevOps for tracking stories, tasks, and sprint progress., • Actively contributed to sprint ceremonies and ensured timely delivery of features aligned with sprint goals and definition of done., • Experience integrating with databases, Kafka, or third-party APIs using Spring Boot modules., • Write unit and integration tests using JUnit, • Collaborate with DevOps and QA teams to ensure cloud deployment and testing, • Debug and resolve technical issues across the application stack, • Implement best practices in coding, testing, CI/CD, and security., • Hands-on experience managing project dependencies and build lifecycles using Maven and/or Gradle., • Expertise in configuring multi-module Java projects with custom build profiles and plugins., • Familiar with automating build, test, and deployment workflows using Maven/Gradle in CI/CD pipelines., • Proficient in Git version control, including branching, merging, rebasing, and resolving conflicts., • Worked in teams using Git-based workflows like Git Flow or Feature Branching., • Experience using Bitbucket for source code management, pull requests, code reviews, and repository administration., • Strong knowledge of SQL for querying and managing relational databases like MySQL, PostgreSQL, or Oracle., • Skilled in writing complex joins, subqueries, stored procedures, and performance tuning., • Experience with integrating SQL queries within Java applications using JDBC, JPA, or Spring Data JPA., • Extensive experience in unit testing Java applications using JUnit 4/5., • Skilled in writing parameterized tests, assertions, and test lifecycle hooks. Required Skills & Experience: • 2–3 years of strong hands-on experience with Java and Spring Boot, • Proven experience in developing and deploying microservices, • Proficient in using Spring Data JPA for ORM (Object-Relational Mapping) and seamless integration with relational databases., • Deep understanding of entity relationships (OneToMany, ManyToOne, etc.), lazy/eager loading, and cascade types., • Familiarity with JUnit for writing and executing test cases, • Basic understanding of cloud platforms like AWS, Azure, or GCP, • Strong knowledge of RESTful APIs, JSON, and HTTP, • Experience with version control tools like Git, • Experienced in working within Agile/Scrum environments., • Familiar with Agile tools such as JIRA, Confluence, or Azure DevOps for tracking stories, tasks, and sprint progress. Nice to Have: • Exposure to CI/CD tools like Jenkins, GitLab CI/CD, etc., • Knowledge of Docker, Kubernetes, or any container orchestration, • Experience with message brokers like Kafka or RabbitMQ Educational Qualification: Bachelor’s degree in Computer Science, Information Technology, or related field

New Permanent Opportunity available with a leading National Security Organisation for an eDV cleared Data Engineer in London • London location – hybrid working when possible, • Must hold active Enhanced DV Clearance, • Competitive Salary DOE - 6% bonus, 25 days holiday, clearance bonus, • Experience in Data Pipelines, ETL processing, Data Integration, Apache, SQL/NoSQL Who Are We? Our client is a trusted and growing supplier to the National Security sector, delivering mission-critical solutions that help keep the nation safe, secure, and prosperous. You’ll work with cutting-edge technologies including AI/Data Science, Cyber, Cloud, DevOps/SRE, and Platform Engineering. They have long-term contracts secured across the latest customer framework and are set for significant growth. What will the Data Engineer be Doing? You will develop mission-critical data solutions and manage pipelines that transform diverse data sources into valuable insights for our client’s National Security customers. You will collaborate with clients to solve complex challenges, utilising distributed computing techniques to handle large-scale, real-time, and unstructured data. Responsibilities include: • Design and develop data pipelines, including ingestion, orchestration, and ETL processing (e.g., NiFi)., • Ensure data consistency, quality, and security across all processes., • Create and maintain database schemas and data models., • Integrate and enrich data from diverse sources, maintaining data integrity., • Maintain and enhance existing architectural components such as Data Ingest and Data Stores., • Troubleshoot and diagnose issues within integrated (enriched) data systems., • Collaborate with the scrum team to decompose user requirements into epics and stories., • Write clean, secure, and reusable code following a test-driven development approach., • Monitor system performance and implement updates to maintain optimal operation. The Data Engineer Should Have: • Active eDV clearance (West), • Willingness to work full-time on-site in London when required. Required technical experience in the following: • Apache Kafka, • Apache NiFI, • SQL and noSQL databases (e.g. MongoDB), • ETL processing languages such as Groovy, Python or Java To be Considered: Please either apply by clicking online or emailing me directly to . For further information please call me on 0161 416 6800 / 07719065951 - I can make myself available outside of normal working hours to suit from 7am until 10pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to follow me on Twitter @SearchableHenry or connect with me on LinkedIn, just search Henry Clay-Davies (searchability). I look forward to hearing from you. KEY SKILLS: DATA ENGINEER / DATA ENGINEERING / DEFENCE / NATIONAL SECURITY / DATA STRATEGY / DATA PIPELINES / DATA GOVERNANCE / SQL / NOSQL / APACHE / NIFI / KAFKA / ETL / LONDON / DV / SECURITY CLEARED / DV CLEARANCE

Do you want to build production GenAI products (not prototypes) in a business with real scale and board-level visibility? Have you shipped LLM/RAG systems end-to-end and owned them in production? Are you ready to join a new AI team early and shape how AI is delivered across a global consumer brand? A global fitness and wellness brand is building a new Group AI function to deliver high-impact AI solutions across the organisation. With new leadership in place (including a newly appointed Chief AI Officer), this team has top-down backing and a clear mandate to ship measurable AI outcomes across both customer-facing and internal operational use cases. For example, app-based agents and optimization algorithms for physical spaces (maintenance, costs, customer experience). As an AI Engineer, you’ll build and deploy end-to-end AI solutions across the company, working closely with stakeholders and owning delivery from brief to production. This is a builder role for someone who enjoys taking ambiguous problems, designing a practical AI solution, and deploying it into production. You’ll work across both GenAI and applied ML, building scalable AI services that directly improve customer experience and business performance. Key responsibilities • Design, build and deploy end-to-end AI solutions, • Develop LLM solutions (e.g. RAG, workflow orchestration, evaluation), • Build APIs/services integrating data sources and AI outputs, • Translate stakeholder needs into practical technical delivery plans, • Own delivery quality: reliability, performance, observability, iteration, • Collaborate across engineering, data, operations, and product teams What they’re looking for • 4-6+ years of industry experience, • Strong Python and SQL, • Hands-on GenAI delivery (RAG/LLMs; LangChain-style tooling strongly preferred), • Comfortable operating independently with real ownership, • Solid stakeholder management and ability to explain clearly to non-technical audiences, • DS background that has moved into AI engineering / LLM product delivery is ideal, • Bonus: Databricks, Azure, MLOps/CI-CD experience Interested? Please apply below.

Senior Data/AI Scientist London – (Hybrid, 3 days a week in office) Up to £80,000 + benefits About the Role Our client is a data-led organisation that has made significant investment in modern data and AI capabilities. With a mature data platform and strong executive buy-in, they are now focused on embedding advanced AI into both customer-facing products and internal decision-making tools. As a Senior AI Scientist, you’ll play a key role in designing, building and deploying applied AI systems, with a particular focus on large language models (LLMs), retrieval-augmented generation (RAG), and conversational AI. This is a hands-on role operating across the full AI lifecycle, from experimentation and prototyping through to production deployment. You’ll work closely with product, engineering and business teams to ensure AI solutions are practical, scalable and deliver clear commercial and customer impact. Key Responsibilities • Leading the development of AI proof-of-concepts and production systems, including LLM-powered assistants and chatbots., • Designing and implementing RAG pipelines using vector search, embeddings and knowledge retrieval strategies., • Fine-tuning, evaluating and deploying language models, with a focus on response quality, reliability and performance., • Building agentic workflows and conversational flows for both customer-facing and internal use cases., • Defining evaluation frameworks and quality metrics for AI-generated outputs., • Collaborating with product and engineering teams to integrate AI solutions into live systems., • Customer and internal chatbots powered by LLMs., • Intelligent knowledge retrieval and question-answering systems., • Voice and chat-based automation to reduce cost-to-serve., • AI tools that improve customer experience, retention and operational efficiency. What We’re Looking For • Strong experience building applied AI or machine learning systems in production environments., • Advanced Python skills and hands-on experience with modern AI tooling (e.g. LLM frameworks, vector databases, orchestration libraries)., • Practical experience with LLMs, RAG architectures, embeddings and transformers., • Experience deploying models using cloud infrastructure and working with microservices or APIs., • Familiarity with MLOps concepts such as monitoring, evaluation and continuous improvement., • Strong communication skills and the ability to translate business problems into AI-driven solutions., • A collaborative mindset and experience working with both technical and non-technical stakeholders. If this role looks of interest, apply below.

Affinity Labs: Founding Engineer (Backend) Location: London Area, United Kingdom · On-site Company Description At Affinity Labs, we’re building the future of company creation, a full-stack AI venture studio that partners with content creators to co-found authentic, scalable software businesses. By combining AI-native development with creator-led distribution, we're pioneering a new model of monetisation by to rapidly build, launch, and scale digital ventures aligned with creators and their audiences. We aim to launch ventures 10x faster and cheaper than traditional methods using our internal "AI factory": a multi-agent architecture, reusable component libraries, and a growing knowledge graph that learns from every product we ship. Why Affinity Labs: Ship at rapid pace with AI-accelerated workflows, see your work distributed to thousands of users at launch, and compound impact across multiple product, not just one. Role Description You’ll lead end-to-end backend development across our products: scoping services, designing data models and APIs, building, testing, shipping, and iterating in tight cycles. This is an early-stage, hands-on role with significant autonomy and responsibility to drive backend product development, collaborating closely with founders, creators, and product/design to turn lean specs into reliable, scalable services. Responsibilities • Implement features end-to-end on the backend (APIs → data models → integrations) and maintain quality while moving fast., • Run tight build, test, iterate, ship loops; provide realistic estimates and surface blockers early., • Manage tech debt pragmatically; record key decisions as lightweight ADRs/notes in the tooling., • Participate in daily standups and weekly planning, contribute to technical strategy & execute from Linear tickets., • Contribute to architecture and product discussions; be heard in debate, align to unified decisions., • Own operability: set up and maintain CI/CD, monitoring/alerting, performance & error budgets, and safe rollback paths., • Build and integrate AI features (LLM/agent workflows, RAG/vector DB integration, eval hooks, cost/safety guardrails). Essential Requirements • 3-6+ years building production backends/services, with shipped work and clear ownership., • Strong Python (FastAPI) and database skills (PostgreSQL/MongoDB); solid API design fundamentals., • Familiarity with AWS serverless patterns and Docker for bespoke services; basic CI/CD concepts., • Comfortable with Redis (caching/sessions) and common queue/messaging patterns., • Startup mindset: high ownership, pace, ambiguity; willing to burn the midnight oil when needed., • Growth mindset & flexibility: open to feedback; not rigid about stack/tools., • Clear communicator & collaborator; lean on your experience to guide product decisions., • Evidence of shipping quickly in small teams (links to repos, case studies, or live services). Desired • Node.js alongside Python for services or integrations., • Experience with vector databases (e.g., Chroma) and embedding pipelines., • LangChain or CrewAI for orchestration; MCP servers for integrations., • Security hygiene (secrets, permissions, least-privilege) and practical data-privacy basics., • Planning & execution in Linear (or similar). Tools & Stack • Backend/Runtime: Python (FastAPI), Node.js., • Datastores: PostgreSQL, MongoDB (as appropriate), Redis (caching/sessions)., • Vectors/Embeddings: Chroma (or similar)., • AI Models & APIs: Claude (Anthropic), Gemini (Google); Amazon Nova Canvas (vision), Deepgram (audio)., • AI Dev Tools: LangChain or CrewAI (orchestration), MCP servers (integration), GitHub Copilot / Claude Code., • Infrastructure: AWS (serverless functions), Docker (primarily for custom MCPs)., • Frontend (when needed): React/Next.js (for dashboards/admins, used selectively). Competencies & Behaviours • Communicates clearly with technical and non-technical teammates., • Takes ownership from concept to deploy and through maintenance., • Balances technical excellence with pragmatic delivery to meet business needs., • Adapts quickly to changing requirements and emerging tech; applies AI learnings., • Sets clear goals, tracks progress, and hits commitments; collaborates across disciplines. Why this role is a career launchpad • Own the code & the company. You step in as a Founding Engineer with a meaningful equity stake from day one., • Ship faster with AI at your side. Our workflow bakes in AI so you spend your time solving real problems—not boilerplate., • Ride a rocket. Our wider vision is big and the bar is high; we need driven people who can help us achieve an ambitious roadmap., • Grow like crazy. You’ll architect, build, and launch multiple products each year. The shipping reps you’ll get in 12 months here would take 3–4 years in a typical startup. There’s a lot of work, it’s high intensity, and the expectation is to ship extremely quickly., • Learn from builders, not bosses. Work shoulder-to-shoulder with a team that has scaled VC-backed startups, closed multi-million-pound term sheets, and collaborated with 1,000+ creators across formats and categories.

Senior Data Engineer (SQL Python Snowflake) London / WFH to £120k Do you have data expertise combined with technical leadership skills? You could be progressing your career in a hands on leadership role at a tech driven, global Asset Manager with multiple billions of dollars under management. As a Senior Data Engineer you will design, build and maintain reliable data pipelines and integrations using Python and SQL and will take a lead role in the design and development of a Greenfield Snowflake based data platform for the Investment side of the business. You'll help make the technical and design choices and contribute to the longer term data vision, collaborating with both technical and non-technical stakeholders. You'll also provide technical project leadership, coaching and mentoring to a small, talented team. Location / WFH: There's a hybrid work from home policy with three days in the London office per week where you'll join a supportive, diverse team environment with a large range of facilities. About you: • You have strong data engineering experience, with advanced SQL skills, • You have experience of building or migrating to Snowflake data platform, • You have Python (and ideally C#) programming skills, • You have experience with data modelling, ETL pipelines and data integration, • You have a good knowledge of Dagster, Airflow or similar orchestration tool, • You're collaborative and pragmatic with great stakeholder communication skills What's in it for you: • Salary to £120k, • Pension, • Private medical insurance including 24 hour GP access, • Enhanced parental leave policy, • 25 days annual leave, • Ongoing training and development and financial support for courses Apply now to find out more about this Senior Data Engineer (SQL Python Snowflake) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

Applied AI Engineer | London I am working with a fast growing AI company building an enterprise grade AI workspace used by major financial institutions to produce and validate client ready work. The platform replaces complex manual workflows with automated AI systems that scale across global teams and has grown rapidly with backing from top tier investors. This role is for engineers who want to build and ship production systems. You will own core parts of the AI agent infrastructure, including multi agent systems, RAG pipelines, and evaluation frameworks. The work is hands on and production focused, covering backend services, AI infrastructure, and delivery at scale. What you will do • Build and deploy backend services and APIs, Python preferred using Django or FastAPI, • Productionise AI features including RAG, agent orchestration, and evals, • Create data pipelines for training, evaluation, and continuous improvement, • Ensure performance, reliability, and security across the stack, • Five plus years of software engineering experience, • Proven experience deploying AI applications into production, • Strong backend engineering skills and database fundamentals, • Experience with cloud infrastructure, Docker, Kubernetes, and CI CD, • Background workers, task queues, and Redis experience, • Familiarity with LLM evaluation, monitoring, and safety, • Degree from a Russell Group university or equivalent top tier academic background, or alternatively extensive engineering expertise with clear, relevant production experience This is a demanding, in office environment with high ownership, shifting priorities, and strong technical standards. You will work directly with founders who have built and exited venture backed companies. • If you are an Applied or Agentic AI Engineer looking for real ownership and the chance to build core systems from the ground up, this is worth a conversation.

About Native Native is a VC-backed AI startup building the world’s most accurate AI for database reasoning. This is hard. This is an unsolved problem that, once solved, will change how every enterprise operates. We recently published our results, achieving rank #1 on the industry-standard benchmark. Our research team is based in London. Everyone at Native has high agency, is obsessed with the problem we are solving, embraces the intensity of a 6-day week, and has the ambition to build something world-changing. We are exceptional engineers and researchers taking a novel approach to accurate database reasoning. About the role This is a founding Platform Engineer role, with the opportunity to shape Native’s infrastructure and systems architecture from day one. You will build the platform that turns cutting-edge research into reliable, production-grade systems. • Design, build, and operate the core platform that powers research and production workloads, • Productionise research systems into robust, scalable services, • Build internal platforms and tooling for researchers and engineers, • Own compute, storage, networking, and deployment infrastructure, • Design and operate CI/CD, observability, and reliability systems, • Think deeply about performance, isolation, fault tolerance, and failure modes, • Design systems that prioritise correctness, reproducibility, and debuggability, • Help define the long-term platform and systems architecture of the company Required experience • Strong experience with Python in production systems, plus at least one systems or backend language (e.g. Rust, Go, C++, Java), • Experience designing, building, and running production infrastructure or platform systems, • Strong understanding of Linux systems, networking, and distributed systems, • Experience with cloud infrastructure and modern deployment environments (e.g. AWS/GCP, containers, orchestration), • Comfortable operating at the boundary between research and production, • Experience building internal tooling or developer platforms, • Engineering taste: you care about simplicity, correctness, and long-term operability, • High ownership mindset — you build it, run it, and make it better Why join Native This is a rare chance to join a founding team operating at the frontier of AI, with the resources to win. • Impact: Build the infrastructure foundation for a new class of AI system in an under-explored, massively valuable domain, • Team: A small, collaborative, world-class research and engineering team based in central London, • Ownership: Founding-level equity with meaningful upside, • Compensation: Competitive salary that lets you focus on building something great, • Direction: Shape how frontier AI research becomes reliable, production-grade systems from day one Culture At Native, we look for people with exceptional engineering ability who want to win. Everyone loves building and is ambitious enough to want to change how the world operates for the better. • We run towards hard problems, • We care deeply about systems that are robust and transparent, • We value first-principles thinking and clean abstractions, • We take ownership, move fast, and hold a high bar for correctness, • If you have an entrepreneurial spirit, are intrinsically motivated, and want to have a huge impact, we are a great fit.

Senior Azure Platform Engineer | Azure, Terraform & Kubernetes | Cloud & Platform Consulting • Salary: £75,000–£90,000 + bonus & equity, • Location: Hybrid working – c. 1 day per week in office, • Requirement: UK Security Clearance eligibility required, • Permanent, full-time position We’re hiring an Azure Platform Engineer to join a fast-growing cloud and platform engineering consultancy delivering complex enterprise and public sector programmes. This is a hands-on consulting role where you’ll design, build, and improve modern Azure platforms while working closely with client engineering teams. The business is scaling across platform engineering, DevOps, governance, and cloud-native delivery, offering a strong growth environment with real influence over technical standards and delivery practices. The Role As an Azure Platform Engineer, you will play a key role in cloud and DevOps transformation initiatives. In this role, you will: • Design and build secure, scalable Azure platform foundations and landing zones, • Assess client environments and identify opportunities for cloud and DevOps improvement, • Define and implement Infrastructure as Code for repeatable platform delivery, • Build and enhance CI/CD pipelines to support cloud-native development, • Embed platform engineering and DevOps best practices into delivery teams, • Work across the full consulting lifecycle: discovery, design, build, and handover, • Engage directly with stakeholders through workshops, design sessions, and technical reviews What They’re Looking For (Non-Negotiables) • Azure cloud engineering experience in production environments, • Terraform infrastructure as code experience, • CI/CD pipelines and automation experience, • Strong understanding of cloud networking, security, and resilience patterns, • Experience working in client-facing or consulting-style environments, • Eligibility for UK Security Clearance (British citizen or ILR, UK resident for the last 5 years) What You’ll Work With • Microsoft Azure platform engineering, • Terraform infrastructure as code, • CI/CD pipelines and automation tooling, • Kubernetes and container orchestration (AKS preferred), • Cloud-native security, governance, and networking patterns Nice to Haves • Experience in a cloud, DevOps, or platform consultancy, • Kubernetes experience beyond the fundamentals, • Experience leading small projects or workstreams, • Enjoyment of mentoring engineers and sharing best practices, • Azure or Kubernetes certifications Why Join / Projects • High-impact enterprise and public sector cloud programmes, • Projects typically running 3–12 months, keeping work varied and challenging, • Opportunity to influence platform standards and delivery approaches, • High technical bar combined with a collaborative, people-first culture, • Strong focus on learning through real delivery, workshops, and shared problem-solving Employee Benefits • Performance-related bonus, • Equity or share scheme, • £1,000 annual learning & development budget, • Funded cloud certifications, • Flexible hybrid working with minimal office requirement, • Private healthcare and wellbeing support, • Enhanced parental leave, • Pension and additional lifestyle benefits Senior Azure Platform Engineer | Azure, Terraform & Kubernetes | Cloud & Platform Consulting

Senior Azure DevOps Engineer | SC Cleared | Inside IR35 6 Month Contract Hybrid - occasional requirement to be in the office as and when needed We are seeking an experienced Azure DevOps Engineer to join our high profile public sector client on an initial 6 month contract. This role is responsible for the day-to-day operations and technical backlog of the Azure platform where applications are hosted. The team will have responsibility for running certain features in the platform, such as deploying golden images, managing subscriptions or upgrades of Kubernetes. Whilst you will not be responsible for the operations of applications or data that run on the platform, you will be responsible for managing the ‘cloud platform’ components of some solutions, providing strategic guidance and growing the team. Key requirements - • Primarily we are looking for someone who have good hands-on experience on Azure security & Networking alongside with orchestration with migration experience., • Good to have skills around the ADF, and hand-on experience on integrations of data resources supporting data flows. Responsibilities include: • Experience in IT operations is important for this role. They have strict change controls to manage systems in a controlled way, and experience in running this type of service is essential, preferably with cloud., • You will work alongside key stakeholders from the business and technology, so strong communication skills are essential., • You will champion continuous delivery in software engineering through use of Dev/Ops practices and your industry knowledge. Essential Criteria • Experience of operating platforms in a controlled environment with strict change control., • Experience in managing and working with Kubernetes environments and observability tools., • Experience with Azure monitoring, logging, and observability tools., • Preference to work as part of a team rather than individually., • Expert Microsoft Azure and CAF knowledge., • Microsoft Azure administration skills / certification., • Windows / Linux Admin., • Automation scripting (e.g. Terraform). To apply for this position please submit your CV.

We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 16,500+, and has 60 offices in 20 countries within key global markets. Ourchallenge: We are seeking an experienced OpenShift Architecture and Migration Design Specialist to lead the design, planning, and execution of OpenShift architectures and migration strategies. The ideal candidate will have expertise in designing robust, scalable, and secure OpenShift environments, as well as creating and implementing migration plans for transitioning workloads and applications to OpenShift. Experience with VMware and Pure Storage is essential to ensure seamless integration with existing infrastructure. Key Responsibilities: • Architecture Design: Design the target architecture for OpenShift, including cluster topology, networking, and storage solutions. Define and implement best practices for OpenShift cluster setup, including multi-zone and multi-region deployments. Ensure the architecture supports high availability, fault tolerance, and disaster recovery., • Migration Design and Optimization: Assess existing infrastructure, applications, and workloads to determine migration readiness. Develop detailed migration plans, including strategies for containerization, workload transfer, and data migration. Implement migration processes, ensuring minimal downtime and disruption to business operations. Identify and mitigate risks associated with the migration process., • VMware and Pure Storage Integration design: Design and implement OpenShift solutions that integrate seamlessly with VMware virtualized environments. Leverage VMware tools (e.g., vSphere, vCenter, NSX) to optimize OpenShift deployments. Configure and manage Pure Storage solutions (e.g., FlashArray, FlashBlade) to provide high-performance, scalable storage for OpenShift workloads. Ensure compatibility and performance optimization between OpenShift, VMware, and Pure Storage., • CI/CD Pipelines and DevOps Workflows: Design and implement CI/CD pipelines tailored for the OpenShift environment. Integrate DevOps workflows with OpenShift-native tools and third-party solutions. Automate deployment, scaling, and monitoring processes to streamline application delivery., • Scalability and Security: Ensure the architecture and migration plans are scalable to meet future growth and workload demands. Implement security best practices, including role-based access control (RBAC), network policies, and encryption. Conduct regular security assessments and audits to maintain compliance with organizational standards., • Collaboration and Documentation: Work closely with development, DevOps, and operations teams to align architecture and migration plans with business needs. Provide detailed documentation of the architecture, migration strategies, workflows, and configurations., • Offer technical guidance and training to teams on OpenShift architecture, migration, and best practices. Required Skills and Qualifications: • Strong experience in designing and implementing OpenShift architectures and migration strategies., • In-depth knowledge of Kubernetes, containerization, and orchestration., • Expertise in VMware tools and technologies (e.g., vSphere, vCenter, NSX)., • Hands-on experience with Pure Storage solutions (e.g., FlashArray, FlashBlade)., • Expertise in networking concepts (e.g., ingress, load balancing, DNS) and storage solutions (e.g., persistent volumes, dynamic provisioning)., • Hands-on experience with CI/CD tools (e.g., Jenkins, Github, ArgoCD) and DevOps workflows., • Strong understanding of high availability, scalability, and security principles in cloud-native environments., • Proven experience in workload and application migration to OpenShift or similar platforms., • Proficiency in scripting and automation (e.g., Bash, Python, Ansible, Terraform)., • Excellent problem-solving and communication skills. Preferred Qualifications: • OpenShift certifications (e.g., Red Hat Certified Specialist in OpenShift Administration)., • Experience with multi-cluster and hybrid cloud OpenShift deployments., • Familiarity with monitoring and logging tools (e.g., oTel, Grafana, Splunk stack)., • Knowledge of OpenShift Operators and Helm charts., • Experience with large-scale migration projects. S YNECHRON’S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

HCLTech is a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending December 2024 totaled $13.8 billion. Hybrid role: 3 days working from onsite. We are looking for a highly skilled AI Architect to lead the design and implementation of AI/GenAI solutions, including LLM-based systems, RAG pipelines, vector search, and cloud-based AI deployments. Key Responsibilities: • Architect LLM-driven applications, GenAI platforms, and AI microservices., • Build and optimize Retrieval-Augmented Generation (RAG) architectures., • Integrate AI models using OpenAI GPT APIs, Hugging Face, and custom model endpoints., • Lead vector database adoption (MongoDB Atlas Vector Search, FAISS, Pinecone)., • Design end-to-end AI pipelines using LangChain or LlamaIndex., • Ensure AI solutions meet enterprise-grade security, compliance, and performance., • Collaborate with backend, cloud, and data teams on scalable deployments. Mandatory Skills: • Expertise in Generative AI, embeddings, vector search, and model orchestration., • Strong programming skills in Python and Java., • Experience with LangChain, LlamaIndex, Hugging Face., • Knowledge of cloud AI platforms (Azure AI Services, AWS Bedrock, GCP Vertex AI)., • Hands-on experience with Docker, Kubernetes, GitLab CI/CD., • Understanding of event-driven architectures (Kafka/RabbitMQ). Preferred Skills: • Experience with fine-tuning, prompt engineering, multi-agent architectures., • Exposure to fraud detection, risk systems, or NLP-heavy enterprise workloads., • Familiarity with microservices patterns and latency optimization.

Presales Consultant - Financial Crime Compliance/Fraud & Identity About the Business: LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, ___ About our Team: This role is within the Solutions Consulting team supporting LNRS’ end to end Financial Crime and Compliance Lifecycle Management Platform - RiskNarrative. The RiskNarrative platform is a truly zero code orchestration platform revolutionising the way our customers in regulated markets globally manage the complex task of fulfilling their regulatory requirements and mitigating both AML and Fraud risk. The RiskNarrative Core Solutions Consulting team is a place for problem solvers and out of the box thinkers, a truly collaborative environment where we support each other to creatively solve our customer’s challenges and achieve excellence. About The Role: You will join a high performing RiskNarrative Solutions Consulting team supporting UK&I and EMEA sales activity, working collaboratively with Sales on an exciting range of customer projects across a wide range of regulated markets. You must have great interpersonal and communication skills, be highly motivated with a great sense of initiative. The Solutions Consultant role within the RiskNarrative SC team will place you in a fast-paced environment, bringing a consistently varied workload, allowing lots of potential for exposure to a broad range of customer conversations at all levels, and opportunities for growth. The technology is cutting edge, and the capability is both broad and infinitely configurable, meaning that no two customer projects are the same. Responsibilities: • Be responsible for acting as the lead technical specialist for global RiskNarrative sales activity, to support commercial engagements where deep technical product knowledge is required. The role is to help give prospects the confidence and understanding of how the RiskNarrative solution operates, and will interface with their internal architecture, to ensure the success of the sales team, and correspondingly, the global RiskNarrative sales target, • Assist sales calls remotely or face to face in qualifying opportunities and delivering product demonstrations and presentations, • Manage Request for Proposals (RFPs), Request for Information (RFIs), remote Proof of Concept (POCs) processes, • Responsible for being the Technical Lead where required as part of detailed sales engagements, • Answering questions from technical stakeholders on the customer side in relation to integration to, and deployment of, the RiskNarrative solution, • Responsible for creating process maps and other technical artefacts to help articulate complex configuration and system interactions, in order to help successfully close opportunities and support successful and accurate delivery of the RiskNarrative solution, • Some travel may be required to provide in person support for field sales initiatives regionally Requirements: • Experience in Pre-Sales/Solutions Consulting, Professional Services, Customer Success or Sales role, working collaboratively with Sales Teams, understanding the full sales life cycle & processes, • Demonstrable experience of working within Financial Crime and Compliance/Fraud & Identity industries, • Proven track record of supporting solution selling related to Financial Crime and Compliance/Fraud & Identity SaaS technology platforms, • Excellent communication and presentation skills, especially in customer-facing contexts. Ability to convey technical subject matters in simple business friendly terms, • Highly motivated self-starter, naturally pro-active with great sense of initiative Desirable: • University or bachelor’s degree or equivalent, • Language skills – Language skills – Russian, French, Polish preferred. German, Spanish, Portuguese and Arabic would also be a bonus Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: • Generous holiday allowance with the option to buy additional days, • Health screening, eye care vouchers and private medical benefits, • Wellbeing programs, • Life Assurance, • Access to a competitive contributory pension scheme, • Save As You Earn share option scheme, • Travel Season ticket loan, • Electric Vehicle Scheme, • Optional Dental Insurance, • Maternity, paternity and shared parental leave, • Employee Assistance Programme, • Access to emergency care for both the elderly and children, • RECARES days, giving you time to support the charities and causes that matter to you, • Access to employee resource groups with dedicated time to volunteer, • Access to extensive learning and development resources, • Access to employee discounts scheme via Perks at Work